Our sales team wants a green badge whenever an AI answer contains citations. I am worried that some cited pages do not actually support the claims. What should we check before showing the badge?
· llm:deepseek:deepseek-v4-pro
Review the original question, current payer, source cap and visibility before asking again. Reopening does not submit or spend anything. The saved report stays unchanged.
> ⚠ Low confidence — Each summary sentence is tied to a verbatim excerpt and model-checked; completeness and independent factual correctness remain unverified. Evidence assessment: 2 sub-claims remain below the evidence threshold. Treat this as provisional.
Model-written summary with sentence-level citations. Each sentence is followed by the verbatim source text it was checked against; sentences without a qualifying excerpt were removed.
Research target 1
Requested topic (unverified): “What are the criteria or methods to verify that a cited page actually supports the claim made in the AI answer?”
Verify citation entailment by checking that the cited span supports the associated claim, including numbers, qualifiers, and negation. Source text: “Citation entailment: the cited span supports the associated claim, including numbers, qualifiers, and negation.”
Check that the cited source was actually supplied to the model, because citing an unsupplied source can make unsupported model memory look grounded. Source text: “This check prevents a response from citing a source that was not actually supplied to the model, which can otherwise make unsupported model memory look grounded.”
Research target 2
Requested topic (unverified): “What are the potential risks or failure modes when showing a green badge based solely on the presence of citations?”
Source excerpts:
- “When answer relevance is high but faithfulness is low, the response understands the user's intent yet adds claims that the supplied context does not support.”
- “Here, I would like to narrow down the problem of hallucination to cases where the model output is fabricated and not grounded by either the provided context or world knowledge.”
Research target 3
Requested topic (unverified): “What are best practices or existing standards for indicating citation reliability or support in AI-generated content?”
A code of practice supports compliance with AI Act transparency obligations related to marking and labelling of AI-generated content. Source text: “This code of practice supports compliance with the AI Act transparency obligations related to marking and labelling of AI-generated content.”
Further excerpts:
- “Trustworthy AI should clearly cite the sources.”
Evidence gap: the recorded assessment remains below the support threshold for this target.
Summary sentences are model-written and model-checked, not independently verified; they claim no more than their excerpts and are not a complete synthesis. Excerpts establish source grounding, not that a source is correct. Source statements may be wrong or conflicting. Payment states remain in the separate receipt.
Next steps to complete this research
These are suggested follow-up steps; this run has not performed them. They do not change the recorded evidence or payment state.
- “RAG QA Testing Guide for Retrieval, Generation, and Citation Quality QASkills.sh”: the extracted text was truncated. Read the missing section of the same version before making whole-document conclusions; retain this snapshot for comparison.
Evidence ledger — recorded source excerpts
Research targets are unverified topics. Coverage is an estimate of excerpt support, not proof of entailment, factual truth or a complete answer.
Requested topic (unverified): “What are the criteria or methods to verify that a cited page actually supports the claim made in the AI answer?”
90% estimated“Citation entailment: the cited span supports the associated claim, including numbers, qualifiers, and negation.” [S1] RAG QA Testing Guide for Retrieval, Generation, and Citation Quality | QASkills.sh
“This check prevents a response from citing a source that was not actually supplied to the model, which can otherwise make unsupported model memory look grounded.” [S1] RAG QA Testing Guide for Retrieval, Generation, and Citation Quality | QASkills.sh
Requested topic (unverified): “What are the potential risks or failure modes when showing a green badge based solely on the presence of citations?”
50% estimated“When answer relevance is high but faithfulness is low, the response understands the user's intent yet adds claims that the supplied context does not support.” [S1] RAG QA Testing Guide for Retrieval, Generation, and Citation Quality | QASkills.sh
“Here, I would like to narrow down the problem of hallucination to cases where the model output is fabricated and not grounded by either the provided context or world knowledge.” [S2] Extrinsic Hallucinations in LLMs
Requested topic (unverified): “What are best practices or existing standards for indicating citation reliability or support in AI-generated content?”
0% estimated“Trustworthy AI should clearly cite the sources.” [S3] AI...What to trust? A guide to AI-generated data use and reliability | MN Compass
“This code of practice supports compliance with the AI Act transparency obligations related to marking and labelling of AI-generated content.” [S4] Code of Practice on Transparency of AI-generated Content | Shaping Europe’s digital future
What if a source were missing?
Temporarily leave out one source to see which research targets retain excerpts in this report.
Showing the original excerpt ledger.
What are the criteria or methods to verify that a cited page actually supports the claim made in the AI answer?
2 recorded excerpts remain.
Inspect remaining excerpts
“Citation entailment: the cited span supports the associated claim, including numbers, qualifiers, and negation.”
S1 · qaskills.sh · RAG QA Testing Guide for Retrieval, Generation, and Citation Quality | QASkills.sh · version 1b032acc1df8a873c8dae13618896a5158014e977fc09a3b53b18a6ad251ea62
“This check prevents a response from citing a source that was not actually supplied to the model, which can otherwise make unsupported model memory look grounded.”
S1 · qaskills.sh · RAG QA Testing Guide for Retrieval, Generation, and Citation Quality | QASkills.sh · version 1b032acc1df8a873c8dae13618896a5158014e977fc09a3b53b18a6ad251ea62
What are the potential risks or failure modes when showing a green badge based solely on the presence of citations?
2 recorded excerpts remain.
Inspect remaining excerpts
“When answer relevance is high but faithfulness is low, the response understands the user's intent yet adds claims that the supplied context does not support.”
S1 · qaskills.sh · RAG QA Testing Guide for Retrieval, Generation, and Citation Quality | QASkills.sh · version 1b032acc1df8a873c8dae13618896a5158014e977fc09a3b53b18a6ad251ea62
“Here, I would like to narrow down the problem of hallucination to cases where the model output is fabricated and not grounded by either the provided context or world knowledge.”
S2 · Lilian Weng · Extrinsic Hallucinations in LLMs · version sha256:d76a3bcdd9cf9f5ee20880f383c52cd2143af76bd0564e23aada759a0ea5d6e4
What are best practices or existing standards for indicating citation reliability or support in AI-generated content?
2 recorded excerpts remain.
Inspect remaining excerpts
“Trustworthy AI should clearly cite the sources.”
S3 · mncompass.org · AI...What to trust? A guide to AI-generated data use and reliability | MN Compass · version 238bf204fb7ec982083ac2b012ecbc1f2ce4f073bda8a33c9793bf51a75a85c0
“This code of practice supports compliance with the AI Act transparency obligations related to marking and labelling of AI-generated content.”
S4 · europa.eu · Code of Practice on Transparency of AI-generated Content | Shaping Europe’s digital future · version a1d622e348dfc32ba4bb006b283fe581e0dd331896a33decc85488c914db44b0
Targets are requested topics, not verified assertions. Excerpts do not prove truth or independent corroboration. This view keeps the answer, confidence and payments unchanged and makes no new requests.
Research evidence matrix
Compare unverified research targets with cited sources and inspect recorded excerpts. An empty cell means no inspectable excerpt was recorded; it does not establish whether a claim is true, false, or disputed. Coverage and agent confidence do not prove entailment, measured accuracy or complete synthesis.
| Research target (unverified) | Inspection status | [S1] RAG QA Testing Guide for Retrieval, Generation, and Citation Quality | QASkills.shPublication: qaskills.shPublished: Not recorded | [S2] Extrinsic Hallucinations in LLMsPublication: Lilian WengPublished: 2024-07-07T00:00:00.000Z | [S3] AI...What to trust? A guide to AI-generated data use and reliability | MN CompassPublication: mncompass.orgPublished: Not recorded | [S4] Code of Practice on Transparency of AI-generated Content | Shaping Europe’s digital futurePublication: europa.euPublished: Not recorded |
|---|---|---|---|---|---|
| What are the criteria or methods to verify that a cited page actually supports the claim made in the AI answer? | Recorded excerpt | Inspect 2 excerptsCitation entailment: the cited span supports the associated claim, including numbers, qualifiers, and negation. This check prevents a response from citing a source that was not actually supplied to the model, which can otherwise make unsupported model memory look grounded. | No excerpt recorded | No excerpt recorded | No excerpt recorded |
| What are the potential risks or failure modes when showing a green badge based solely on the presence of citations? | Recorded excerpt | Inspect 1 excerptWhen answer relevance is high but faithfulness is low, the response understands the user's intent yet adds claims that the supplied context does not support. | Inspect 1 excerptHere, I would like to narrow down the problem of hallucination to cases where the model output is fabricated and not grounded by either the provided context or world knowledge. | No excerpt recorded | No excerpt recorded |
| What are best practices or existing standards for indicating citation reliability or support in AI-generated content? | Recorded excerpt | No excerpt recorded | No excerpt recorded | Inspect 1 excerptTrustworthy AI should clearly cite the sources. | Inspect 1 excerptThis code of practice supports compliance with the AI Act transparency obligations related to marking and labelling of AI-generated content. |
Reference export
4 article references. Recorded titles, links and dates; observed scholarly records also include supplied authors, DOI and journal metadata with read limits. Review metadata before using in a paper. Import RIS into Zotero with File → Import.
Cited sources and references
- 1RAG QA Testing Guide for Retrieval, Generation, and Citation Quality | QASkills.shqaskills.shFree public reference · no creator payment · extracted html text (bounded excerpt)55%
- 2Extrinsic Hallucinations in LLMsLilian Weng · 2024-07-07Free public reference · no creator payment · RSS excerpt20%
- 3AI...What to trust? A guide to AI-generated data use and reliability | MN Compassmncompass.orgFree public reference · no creator payment · extracted html text15%
- 4Code of Practice on Transparency of AI-generated Content | Shaping Europe’s digital futureeuropa.euFree public reference · no creator payment · extracted html text10%
Loading feedback…
Decision log · 231 steps
Breaking down: "Our sales team wants a green badge whenever an AI answer contains citations. I am worried that some cited pages do not actually support the claims. What should we check before showing the badge?"
Identified 3 research target(s) to investigate; these are not established facts
Deep mode: up to 4 paid/cached/public reads plus one bounded gap-expansion pass when needed.
Article library searched across retained history: 42 matching article(s). Different articles from one publisher may support different research targets; preview matches alone are not evidence.
Web search: 4/4 planned queries attempted, 2 succeeded, 20 public page previews/leads, 2 unavailable queries. Previews and supplied URLs are discovery only. Public reads spend no USDC; model and service operating costs remain separate.
Discovered 3 verified creator candidate(s) from 2 publisher(s) and 174 free public reference candidate(s)
Claim-aware portfolio (exhaustive; bounded selection, not a claim of global optimality) selected 4/17 positive proposal(s): 4 free/cache selections + 0 paid fresh selections, predicting 3/3 claim(s) above the evidence floor with $0.000000/$0.025000 fetch USDC reserved.
Free-preview pre-check maps an actionable source to every sub-claim (3/3); paid reading may proceed within the budget.
Directly addresses citation quality metrics including faithfulness, groundedness, and citation validity, which are core to verifying cited pages support claims (target 0) and best practices for reliability indicators (target 2). - free public original-page READ selection (not a cache hit); no purchase or creator reward. — selected for the claim-aware evidence portfolio (targets claims 1, 3; 0 fetch USDC, 1 attention slot).
Lilian Weng's post on extrinsic hallucinations directly addresses unfaithful or fabricated content, which is central to verifying whether cited pages support claims (target 0) and risks of false badges (target 1). - free public feed reference; no purchase or creator reward. — selected for the claim-aware evidence portfolio (targets claims 1, 2; 0 fetch USDC, 1 attention slot).
Guide on AI data reliability includes checking sources and cross-checking, directly relevant to verifying cited pages support claims (target 0) and risks of trusting citations (target 1). - free public original-page READ selection (not a cache hit); no purchase or creator reward. — selected for the claim-aware evidence portfolio (targets claims 1, 2; 0 fetch USDC, 1 attention slot).
EU Code of Practice on transparency of AI-generated content; may include standards for indicating reliability or support of AI content, relevant to target 2. - free public original-page READ selection (not a cache hit); no purchase or creator reward. — selected for the claim-aware evidence portfolio (targets claim 3; 0 fetch USDC, 1 attention slot).
About ASF Responsible AI Initiative, not citation verification or badge reliability. - free public feed reference; no purchase or creator reward.
Subversion release announcement, unrelated to citation support or AI answer badges. - free public feed reference; no purchase or creator reward.
Arrow release notes, no relevance to citation verification. - free public feed reference; no purchase or creator reward.
Arrow release notes, unrelated to citation support or badge criteria. - free public feed reference; no purchase or creator reward.
arXiv rate limit policy, not about verifying citations or AI answer reliability. - free public feed reference; no purchase or creator reward.
Philanthropic funding announcement, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
Paper on reasoning models and scalar implicature, not citation support or badge reliability. - free public feed reference; no purchase or creator reward.
Abstract discusses reliability estimation for language model ensembles, potentially relevant to assessing whether cited pages support claims (target 0). - free public feed reference; no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
Failure taxonomy for agent teams, not about citation verification or badge criteria. - free public feed reference; no purchase or creator reward.
BIS working paper on AI and demand bottlenecks, unrelated to citation support. - free public feed reference; no purchase or creator reward.
Macroeconomic consequences of chokepoint disruptions, not relevant to citation verification. - free public feed reference; no purchase or creator reward.
Common pitfalls in generative AI applications may discuss citation reliability or evaluation practices relevant to targets 0 and 1. - free public feed reference; no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
General article on agents, not about citation verification or badge reliability. - free public feed reference; no purchase or creator reward.
JPEG XL shipping announcement, unrelated to citation support. - free public feed reference; no purchase or creator reward.
WebGPU updates, not relevant to citation verification. - free public feed reference; no purchase or creator reward.
Chrome 154 release notes, unrelated to citation support or badge criteria. - free public feed reference; no purchase or creator reward.
Post-quantum migration using AI, not about citation verification. - free public feed reference; no purchase or creator reward.
Programmable secure web gateway, unrelated to citation support. - free public feed reference; no purchase or creator reward.
CC licensing guidance for AI ecosystem, not about verifying cited pages support claims. - free public feed reference; no purchase or creator reward.
Article about open heritage roundtable, unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
UK government partnership announcement, unrelated to citation support verification. - free public feed reference; no purchase or creator reward.
Private AI compute memory, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
Antimicrobial peptide discovery, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
Weight banding in visual models, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
Graph neural networks introduction, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
Django security releases, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
Django governance approval, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
Django security reporting update, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
DOAJ pre-assessment checklist for journals, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
DOAJ ask us anything, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
Open access interview, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
Docker keynote on trust for AI agents, not about citation support verification. - free public feed reference; no purchase or creator reward.
AI agent security risks, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
DuckDB benchmark, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
Iceberg table internals, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
Jev and DuckDB SQL conditions, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
Leadership qualities, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
Working with AI, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
Advice for principal tech ICs, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
GitHub engineering on AI coding cost efficiency, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
Article about alt text quality, unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
Article about AI-generated pull requests, unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
Go blog post about SIMD, unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
Go blog post about generic methods, unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
Go blog post about HTTP connection reuse, unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
Go blog post about interactive refactoring, unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
Google Research post about geospatial agents, unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
Google Research post about wet labs, unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
IPFS post about content publishing, unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
IPFS post about network services, unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
Kotlin toolchain release notes, unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
Kotlin language feature post, unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
Kotlin GSoC recap, unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
Kotlin IDE support announcement, unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
Krebs on Security article about sanctions, unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
Krebs on Security article about extortion, unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
Krebs on Security article about ShinyHunters, unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
Lilian Weng's post on high-quality human data may discuss data quality and annotation, which could inform best practices for verifying support in AI-generated content (target 2). - free public feed reference; no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
Lilian Weng's post on self-improvement may touch on evaluation and reliability of AI systems, potentially relevant to risks of citation-based badges (target 1). - free public feed reference; no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
Preview is about 'sensible defaults' in software development, unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
Preview discusses practitioner writing style, not citation support verification or green badge criteria. - free public feed reference; no purchase or creator reward.
Preview is a fragment about coding agents and engineering difficulty, unrelated to citation reliability. - free public feed reference; no purchase or creator reward.
Preview is about software/hardware engineering practices, not citation verification or AI answer support. - free public feed reference; no purchase or creator reward.
Preview introduces an AI help assistant for web development, not citation support verification. - free public feed reference; no purchase or creator reward.
Preview is about MDN MCP server for documentation access, not citation reliability or green badge criteria. - free public feed reference; no purchase or creator reward.
Preview discusses AI agents as collaborators in engineering, not citation verification or answer support. - free public feed reference; no purchase or creator reward.
Preview is about multimodal post-training engineering, unrelated to citation support verification. - free public feed reference; no purchase or creator reward.
Preview is about AI-powered code reviews, not citation reliability or green badge criteria. - free public feed reference; no purchase or creator reward.
Preview introduces Quine, an AI research system for biology, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
Preview is about forecasting space weather risks, not citation support verification. - free public feed reference; no purchase or creator reward.
Preview is about simulating student learning for AI tutoring, unrelated to citation reliability. - free public feed reference; no purchase or creator reward.
Preview discusses accountability behind words and AI in civic conversations, which may touch on verifying AI-generated claims and responsibility, potentially relevant to target 1 (risks of showing a green badge based solely on citations). - free public feed reference; no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
Preview is about AI for safety-critical situations with hard constraints, not citation verification. - free public feed reference; no purchase or creator reward.
Preview is about medical AI assistance varying by user expertise, unrelated to citation support. - free public feed reference; no purchase or creator reward.
Preview is about AI in academia, not citation verification or green badge criteria. - free public feed reference; no purchase or creator reward.
Preview is about personal AI and critical thinking, not citation support verification. - free public feed reference; no purchase or creator reward.
Preview is about Puppeteer support for Firefox, unrelated to citation reliability. - free public feed reference; no purchase or creator reward.
Article is about Web Serial support in Firefox, unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
Article is about Git storage infrastructure, unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
Article compares AI model outputs on a build prompt, not citation support verification. - free public feed reference; no purchase or creator reward.
Article is about Edge Functions performance, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
Article is about running AI agents safely on Fly.io, not citation support verification. - free public feed reference; no purchase or creator reward.
Article is about Jev-style decision models, not citation support verification. - free public feed reference; no purchase or creator reward.
Codex prompting guide focuses on coding model prompts, not citation verification. - free public feed reference; no purchase or creator reward.
Production best practices guide may mention reliability but not specifically citation support verification. - free public feed reference; no purchase or creator reward.
Realtime prompting guide is about voice agents, not citation verification. - free public feed reference; no purchase or creator reward.
Article discusses novelty scores and citation limitations, but not verification of cited pages supporting claims. - free public feed reference; no purchase or creator reward.
Article is about trusted journal lists, not citation support verification. - free public feed reference; no purchase or creator reward.
Article is about topic classification, not citation support verification. - free public feed reference; no purchase or creator reward.
Article is about security compliance framework, not citation support verification. - free public feed reference; no purchase or creator reward.
Article is about plastic waste, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
Article is about malaria, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
Article is about wildlife populations, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
Article is about religious affiliation, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
Article is about open science partnership, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
Article is about Global Young Academy membership, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
Article is about publishing infrastructure, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
Article is about PostgreSQL release, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
PostgreSQL schema versioning tool announcement; unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
PostgreSQL email extension release; no relevance to citation support checks or green badge criteria. - free public feed reference; no purchase or creator reward.
PostgreSQL schema management tool beta; unrelated to verifying cited pages or AI citation reliability. - free public feed reference; no purchase or creator reward.
Hackathon announcement; no connection to citation verification or AI answer support. - free public feed reference; no purchase or creator reward.
Hackathon announcement; irrelevant to citation support checks or green badge criteria. - free public feed reference; no purchase or creator reward.
Python release announcement; unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
PyTorch data loading technical post; no relevance to citation support verification or green badge criteria. - free public feed reference; no purchase or creator reward.
PyTorch microcontroller deployment post; unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
PyTorch inference serving technical post; no relevance to citation support checks or green badge criteria. - free public feed reference; no purchase or creator reward.
React Foundation announcement; unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
React 19.3 release notes; no relevance to citation support verification or green badge criteria. - free public feed reference; no purchase or creator reward.
Create React App deprecation notice; unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
Rust maintainer announcement; no relevance to citation support checks or green badge criteria. - free public feed reference; no purchase or creator reward.
Rust point release notes; unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
Rust release announcement; no relevance to citation support checks or green badge criteria. - free public feed reference; no purchase or creator reward.
Rust target demotion notice; unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
AI cryptanalysis opinion piece; no relevance to citation support verification or green badge criteria. - free public feed reference; no purchase or creator reward.
Cryptanalysis effort measurement; unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
AI reasoning models course announcement; no relevance to citation support checks or green badge criteria. - free public feed reference; no purchase or creator reward.
Text classification guide; unrelated to citation verification or AI answer reliability. - free public feed reference; no purchase or creator reward.
Spotify engineering quality post; no relevance to citation support verification or green badge criteria. - free public feed reference; no purchase or creator reward.
Topic is Spotify's generative recommendation inference with NVIDIA TensorRT LLM, unrelated to citation verification or AI answer badges. - free public feed reference; no purchase or creator reward.
Topic is Chainlink integration on Stellar for DeFi, unrelated to citation verification or AI answer badges. - free public feed reference; no purchase or creator reward.
Topic is real-time prices for Stellar tokenized assets, unrelated to citation verification or AI answer badges. - free public feed reference; no purchase or creator reward.
Topic is token billing pricing models, unrelated to citation verification or AI answer badges. - free public feed reference; no purchase or creator reward.
Topic is AI monetization economics, unrelated to citation verification or AI answer badges. - free public feed reference; no purchase or creator reward.
Topic is travel industry AI dilemma, unrelated to citation verification or AI answer badges. - free public feed reference; no purchase or creator reward.
Topic is making a physical conference badge, unrelated to citation verification or AI answer badges. - free public feed reference; no purchase or creator reward.
Topic is Postgres best practices for AI coding agents, unrelated to citation verification or AI answer badges. - free public feed reference; no purchase or creator reward.
Topic is a children's hockey song video, unrelated to citation verification or AI answer badges. - free public feed reference; no purchase or creator reward.
Topic is a Halloween children's song video, unrelated to citation verification or AI answer badges. - free public feed reference; no purchase or creator reward.
Topic is sovereign AI and open infrastructure, unrelated to citation verification or AI answer badges. - free public feed reference; no purchase or creator reward.
Topic is self-hosted RSS readers, unrelated to citation verification or AI answer badges. - free public feed reference; no purchase or creator reward.
Topic is JSON.stringify performance optimization in V8, unrelated to citation verification or AI answer badges. - free public feed reference; no purchase or creator reward.
Topic is human cognitive load versus AI code generation, unrelated to citation verification or AI answer badges. - free public feed reference; no purchase or creator reward.
Topic is codebase maintenance and deleting code, unrelated to citation verification or AI answer badges. - free public feed reference; no purchase or creator reward.
Topic is running local language models, unrelated to citation verification or AI answer badges. - free public feed reference; no purchase or creator reward.
Topic is writing for people versus AI-generated artifacts, unrelated to citation verification or AI answer badges. - free public feed reference; no purchase or creator reward.
Topic is vLLM support for Muse Spark Open model, unrelated to citation verification or AI answer badges. - free public feed reference; no purchase or creator reward.
Topic is vLLM serving Reflection Beam model, unrelated to citation verification or AI answer badges. - free public feed reference; no purchase or creator reward.
Topic is push-based KV transfer for disaggregated inference, unrelated to citation verification or AI answer badges. - free public feed reference; no purchase or creator reward.
Topic is EPUB 3.4 standard update, unrelated to citation verification or AI answer badges. - free public feed reference; no purchase or creator reward.
Topic is web and AI standards seminar on generative UI and WebSkill, unrelated to citation verification or AI answer badges. - free public feed reference; no purchase or creator reward.
Article about Interop 2027 coding agents; irrelevant to citation verification or green badge criteria. - free public feed reference; no purchase or creator reward.
Lighthouse Baseline features audit; unrelated to verifying cited pages support AI claims. - free public feed reference; no purchase or creator reward.
New web platform features in September; no relevance to citation reliability or badge criteria. - free public feed reference; no purchase or creator reward.
Top-level await in Safari; technical browser feature, unrelated to citation verification. - free public feed reference; no purchase or creator reward.
Safari Technology Preview release notes; no connection to AI citation support or badge standards. - free public feed reference; no purchase or creator reward.
Safari Technology Preview release notes; irrelevant to citation verification criteria. - free public feed reference; no purchase or creator reward.
Wikimedia Nigeria training series; unrelated to AI citation reliability or badge criteria. - free public feed reference; no purchase or creator reward.
Personal WikiConference India reflection; no relevance to citation verification. - free public feed reference; no purchase or creator reward.
Bangladesh-China Wikimedia collaboration; unrelated to AI citation support. - free public feed reference; no purchase or creator reward.
WikiConference North America hub representation; no connection to citation reliability. - free public feed reference; no purchase or creator reward.
x402 payment protocol foundation launch; irrelevant to citation verification or badge criteria. - free public feed reference; no purchase or creator reward.
x402 batch settlement for agentic commerce; unrelated to AI citation support. - free public feed reference; no purchase or creator reward.
RAG status for KPIs in project management; not about verifying citations support AI claims. - free public original-page READ selection (not a cache hit); no purchase or creator reward.
Purdue guide on citing AI-generated content; may discuss reliability and verification of AI citations, relevant to best practices (target 2). - free public original-page READ selection (not a cache hit); no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
OSHA top cited violations; unrelated to AI citation verification. - free public original-page READ selection (not a cache hit); no purchase or creator reward.
ScienceDirect article on accuracy, reliability, and regulatory concerns in AI; likely addresses verification of AI-generated information, relevant to targets 0 and 1. - free public original-page READ selection (not a cache hit); no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
OSHA top 10 violations from FallTech; unrelated to citation support verification. - free public original-page READ selection (not a cache hit); no purchase or creator reward.
Medical error prevention and root cause analysis; unrelated to AI citation verification. - free public original-page READ selection (not a cache hit); no purchase or creator reward.
University of Maryland guide on citing AI; may discuss citation reliability and verification, relevant to target 2. - free public original-page READ selection (not a cache hit); no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
Discusses transparency standards and labeling for AI-generated content, which may inform best practices for indicating citation reliability (target 2), though not directly about verifying support. - free public original-page READ selection (not a cache hit); no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
Climate Risk Index is unrelated to citation verification or AI answer reliability. - free public original-page READ selection (not a cache hit); no purchase or creator reward.
CDC guidance on disclosing generative AI use may include practices for verifying or labeling AI-generated content, relevant to best practices for citation reliability (target 2). - free public original-page READ selection (not a cache hit); no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
About e-commerce green badge policy, not AI citation verification. - free public original-page READ selection (not a cache hit); no purchase or creator reward.
Discusses labeling and provenance for AI-generated content, which may inform best practices for indicating reliability (target 2). - free public original-page READ selection (not a cache hit); no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
About digital badge programs in education, not citation verification. - free public original-page READ selection (not a cache hit); no purchase or creator reward.
About ICE legal authorities, unrelated to citation verification. - free public original-page READ selection (not a cache hit); no purchase or creator reward.
Quora question specifically about AI citation-verification system features, likely to discuss criteria and best practices (targets 0 and 2). - free public original-page READ selection (not a cache hit); no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
About gain-of-function research policy, unrelated to citation verification. - free public original-page READ selection (not a cache hit); no purchase or creator reward.
Wiley guidelines on AI tools include verifying accuracy and disclosing AI use, relevant to best practices for citation reliability (target 2). - free public original-page READ selection (not a cache hit); no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.
Keryx extension release notes about Chrome Web Store submission; not about citation verification methods or risks.
Keryx release notes about bug fixes and features; not directly about verifying cited pages support claims.
Cached first-party documentation on how Keryx pays cited creators, including exact-quote evidence checks; may inform best practices for citation reliability (target 2), but is primarily about payment mechanics. — cached content is free, but this read does not clear the attention gate (EV 0.30, minimum 0.45, with a required claim target).
READ RAG QA Testing Guide for Retrieval, Generation, and Citation Quality | QASkills.sh - selected original public page, 0 USDC; not a cache hit.
Read extracted public text from https://qaskills.sh/blog/rag-evaluation-metrics-complete-2026 - S1; quote matching establishes source grounding, not fact verification.
Sub-claim "What are the criteria or methods to verify that a cited page…": 90% covered by S1
Sub-claim "What are the potential risks or failure modes when showing a…": 80% covered by S1
Sub-claim "What are best practices or existing standards for indicating…": 30% covered by S1
S1 provides definitions of citation presence and citation entailment, which directly address verifying that a cited page supports the claim. It also discusses risks of unsupported citations and LLM judge limitations, but does not cover best practices or standards for indicating citation reliability in AI-generated content beyond general evaluation guidance. The assessment does not establish a complete supported answer for every requested part.
Read Lilian Weng - Extrinsic Hallucinations in LLMs - free public feed reference, no creator payment - S2
Sub-claim "What are the criteria or methods to verify that a cited page…": 90% covered by S1
Sub-claim "What are the potential risks or failure modes when showing a…": 50% covered by S1
Sub-claim "What are best practices or existing standards for indicating…": 10% covered by S1
S1 provides direct criteria for verifying citation support (citation entailment, citation presence, binding to version/hash) and risks of LLM judges. S2 defines hallucination and grounding but does not address badge-specific risks or standards. Sub-claim 1 is well covered by S1. Sub-claim 2 is partially covered by S1 (risks of unsupported citations, mutable URLs, judge variance) but lacks badge-specific failure modes. Sub-claim 3 is not directly covered; S1 mentions NIST governance but not citation reliability indicators or badge standards. The assessment does not establish a complete supported answer for every requested part.
READ AI...What to trust? A guide to AI-generated data use and reliability | MN Compass - selected original public page, 0 USDC; not a cache hit.
Read extracted public text from https://www.mncompass.org/data-insights/articles/aiwhat-trust-guide-ai-generated-data-use-and-reliability - S3; quote matching establishes source grounding, not fact verification.
Sub-claim "What are the criteria or methods to verify that a cited page…": 60% covered by S1
Sub-claim "What are the potential risks or failure modes when showing a…": 50% covered by S1, S2
Sub-claim "What are best practices or existing standards for indicating…": 20% covered by S3, S1
S1 provides direct criteria for citation verification: citation presence and citation entailment, plus risks of unsupported claims and LLM judge limitations. S2 defines hallucination and grounding, relevant to failure modes. S3 mentions checking sources and cross-checking, but lacks specific verification methods. Coverage for sub-claim 1 is partial (0.6) because S1 gives criteria but not a complete method; sub-claim 2 is partial (0.5) because S1 and S2 describe risks but not specifically about green badges; sub-claim 3 is low (0.2) because no source provides best practices or standards for indicating citation reliability. The assessment does not establish a complete supported answer for every requested part.
READ Code of Practice on Transparency of AI-generated Content | Shaping Europe’s digital future - selected original public page, 0 USDC; not a cache hit.
Read extracted public text from https://digital-strategy.ec.europa.eu/en/policies/code-practice-ai-generated-content - S4; quote matching establishes source grounding, not fact verification.
Sub-claim "What are the criteria or methods to verify that a cited page…": 90% covered by S1, S3
Sub-claim "What are the potential risks or failure modes when showing a…": 50% covered by S1, S3
Sub-claim "What are best practices or existing standards for indicating…": 0% covered
S1 directly addresses citation entailment and verification criteria, and also discusses risks of unsupported claims and LLM judge limitations. S3 provides general guidance on checking sources and cross-checking AI output. S2 defines hallucination but does not provide verification methods. S4 is about AI content labeling regulations, not citation support verification. Coverage for sub-claim 1 is high from S1; sub-claim 2 is partially covered by S1 and S3; sub-claim 3 is not directly covered by any source. The assessment does not establish a complete supported answer for every requested part.
Attention budget is full at 4 source(s); no broader context will be purchased.
Final check — "What are the criteria or methods to verify that a cited page…": 90% assessed by S1, S3
Final check — "What are the potential risks or failure modes when showing a…": 50% assessed by S1, S3
Final check — "What are best practices or existing standards for indicating…": 0% assessed
Final coverage assessment — S1 directly addresses citation entailment and verification criteria, and also discusses risks of unsupported claims and LLM judge limitations. S3 provides general guidance on checking sources and cross-checking AI output. S2 defines hallucination but does not provide verification methods. S4 is about AI content labeling regulations, not citation support verification. Coverage for sub-claim 1 is high from S1; sub-claim 2 is partially covered by S1 and S3; sub-claim 3 is not directly covered by any source. The assessment does not establish a complete supported answer for every requested part.
Synthesizing a grounded answer from 4 source(s)…
Relevance review returned; only checked excerpts can retain support, and review cannot raise it.
Delivering 3 summary sentence(s), each tied to one checked verbatim excerpt; complete synthesis remains unverified.
Source-matched public excerpt (no creator reward) — S1, research target 1, proposed support 90% (estimate, not entailment): “Citation entailment: the cited span supports the associated claim, including numbers, qualifiers, and negation.”
Source-matched public excerpt (no creator reward) — S1, research target 1, proposed support 80% (estimate, not entailment): “This check prevents a response from citing a source that was not actually supplied to the model, which can otherwise make unsupported model …”
Source-matched public excerpt (no creator reward) — S1, research target 2, proposed support 70% (estimate, not entailment): “When answer relevance is high but faithfulness is low, the response understands the user's intent yet adds claims that the supplied context …”
Source-matched public excerpt (no creator reward) — S2, research target 2, proposed support 60% (estimate, not entailment): “Here, I would like to narrow down the problem of hallucination to cases where the model output is fabricated and not grounded by either the …”
Source-matched public excerpt (no creator reward) — S3, research target 3, proposed support 60% (estimate, not entailment): “Trustworthy AI should clearly cite the sources.”
Source-matched public excerpt (no creator reward) — S4, research target 3, proposed support 60% (estimate, not entailment): “This code of practice supports compliance with the AI Act transparency obligations related to marking and labelling of AI-generated content.”
Prepared a sentence-cited summary from 4 source(s)
Confidence: Low — Each summary sentence is tied to a verbatim excerpt and model-checked; completeness and independent factual correctness remain unverified. Evidence assessment: 2 sub-claims remain below the evidence threshold.
qaskills.sh contributed 55% - free public reference; reward share withheld
Lilian Weng contributed 20% - free public reference; reward share withheld
mncompass.org contributed 15% - free public reference; reward share withheld
europa.eu contributed 10% - free public reference; reward share withheld
Keryx operating allocation $0.025000 for unclaimed public citations; sponsored by Keryx, separate from creator rewards.
Settled $0.025000 Keryx operating fee for unclaimed public citations.
Done. Spent $0.025 across 1 confirmed/simulated payment(s); Keryx operating fees are separate from creator rewards.
Sign in with the original report owner to review its decisions.
Read checkpoints
Verify locally replays supported recorded query-local reserve, release, debit and hold decisions, attribution normalization and exact micro-USDC citation/author allocations. Model proposals and eligibility are asserted inputs. Query capacity is separate from signer exposure; verification does not establish funding, reward authority or settlement.
Economic families or records marked unavailable are not verified. Missing, fractional-micro or unsafe operands are never repaired; an empty family means no captured economic decision, not complete monetary coverage.
- Query-local budget records
- Recorded decisions can be replayed
- Citation allocation records
- Recorded decisions can be replayed
- Author split records
- Not captured
Model proposals and selected plan actions are recorded when available. Model generation is not replayed or expected to reproduce; verification checks only deterministic checkpoints.
Micro-USDC is shown only where the existing exact converter accepts the amount. Other monetary assertions are unavailable; numeric predicate replay preserves the recorded comparison.
- Recorded checkpoint policy
- ordinary-query-economics-v4
- SHA-256 retained by this report
- b5e2df570a670a133d6a32716ea082f51ea0ca00adda888d907f594d70e914b9
Keep this digest separately from the downloaded sidecar. The offline audit command uses it as the expected digest.
Model proposal → selected plan → code checkpoint
Latest terminal checkpoint outcome per recorded candidate; continuing checks and global stops are excluded. These are not settled purchases or quality scores.
Global stop checkpoints: 1 · Candidate rounds with continuing checks only: 0
| Candidate | Read round | Model proposed | Selected plan | Checkpoint | Code result | Reason / rule |
|---|---|---|---|---|---|---|
| 163 | 0 | CACHE | CACHE | selection | CONTINUE | selected-plan |
| 60 | 0 | CACHE | CACHE | selection | CONTINUE | selected-plan |
| 170 | 0 | CACHE | CACHE | selection | CONTINUE | selected-plan |
| 160 | 0 | CACHE | CACHE | selection | CONTINUE | selected-plan |
| 1 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 2 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 3 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 4 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 5 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 6 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 7 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 8 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 9 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 10 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 11 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 12 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 13 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 14 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 15 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 16 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 17 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 18 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 19 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 20 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 21 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 22 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 23 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 24 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 25 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 26 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 27 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 28 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 29 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 30 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 31 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 32 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 33 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 34 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 35 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 36 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 37 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 38 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 39 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 40 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 41 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 42 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 43 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 44 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 45 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 46 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 47 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 48 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 49 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 50 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 51 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 52 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 53 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 54 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 55 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 56 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 57 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 58 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 59 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 61 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 62 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 63 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 64 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 65 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 66 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 67 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 68 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 69 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 70 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 71 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 72 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 73 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 74 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 75 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 76 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 77 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 78 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 79 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 80 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 81 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 82 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 83 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 84 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 85 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 86 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 87 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 88 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 89 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 90 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 91 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 92 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 93 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 94 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 95 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 96 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 97 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 98 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 99 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 100 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 101 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 102 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 103 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 104 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 105 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 106 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 107 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 108 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 109 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 110 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 111 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 112 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 113 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 114 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 115 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 116 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 117 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 118 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 119 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 120 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 121 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 122 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 123 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 124 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 125 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 126 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 127 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 128 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 129 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 130 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 131 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 132 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 133 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 134 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 135 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 136 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 137 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 138 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 139 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 140 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 141 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 142 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 143 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 144 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 145 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 146 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 147 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 148 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 149 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 150 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 151 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 152 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 153 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 154 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 155 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 156 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 157 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 158 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 159 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 161 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 162 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 164 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 165 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 166 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 167 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 168 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 169 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 171 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 172 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 173 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 174 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 175 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 176 | 0 | SKIP | SKIP | selection | SKIP | plan-skip |
| 177 | 0 | CACHE | SKIP | selection | SKIP | plan-skip |
| 163 | 0 | CACHE | CACHE | duplicate | CONTINUE | duplicate |
| 163 | 0 | CACHE | CACHE | public-route | FREE | public-channel |
| 163 | 0 | CACHE | CACHE | sufficiency | CONTINUE | sufficiency |
| 60 | 0 | CACHE | CACHE | duplicate | CONTINUE | duplicate |
| 60 | 0 | CACHE | CACHE | public-route | CONTINUE | public-channel |
| 60 | 0 | CACHE | CACHE | public-route | FREE | public-channel |
| 60 | 0 | CACHE | CACHE | duplicate | CONTINUE | duplicate |
| 60 | 0 | CACHE | CACHE | sufficiency | CONTINUE | sufficiency |
| 170 | 0 | CACHE | CACHE | duplicate | CONTINUE | duplicate |
| 170 | 0 | CACHE | CACHE | public-route | FREE | public-channel |
| 170 | 0 | CACHE | CACHE | sufficiency | CONTINUE | sufficiency |
| 160 | 0 | CACHE | CACHE | duplicate | CONTINUE | duplicate |
| 160 | 0 | CACHE | CACHE | public-route | FREE | public-channel |
| 160 | 0 | CACHE | CACHE | sufficiency | CONTINUE | sufficiency |
| Run context | 0 | — | — | expansion | CONTINUE | expansion |
| Run context | 1 | — | — | attention | STOP | attention |
Try a different limit
Compare only recorded budget and attention checks. Later reads, model choices and a whole alternative answer are unknown. These controls never change a live policy or authorize a purchase.
Portable research receipt
Take the evidence trail with you
One deterministic JSON bundle binds the answer, visible decisions, exact article versions, claim evidence and a Circle-settlement snapshot under SHA-256. Retain the digest to detect later changes; the self-check is not a publisher or Keryx signature.
Recorded purchase outcomes
Recorded purchase outcomes are unavailable for this retained snapshot. No score or zero-cost success is inferred; the original report and receipt remain available.
Carries this dispatch’s question as context — never its answer. The next dispatch is read from sources bought for it.