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Using https://aclanthology.org/2023.emnlp-main.398/, distinguish citation quality from answer correctness for a limitations section about a research agent. Cite only material actually retrieved; keep unread sources and unsupported points explicit. Do not force a purchase or a reward.

Lowconfidence— Each summary sentence is tied to a verbatim excerpt and model-checked; completeness and independent factual correctness remain unverified. Evidence assessment: 1 sub-claim remains below the evidence threshold

· llm:deepseek:deepseek-v4-pro

§ IIThe reading3 cited
Lowsource grounding— Each summary sentence is tied to a verbatim excerpt and model-checked; completeness and independent factual correctness remain unverified. Evidence assessment: 1 sub-claim remains below the evidence thresholddeep researchpreview plan 3/3 claimsportfolio 3/17 · evidence 67%

> ⚠ Low confidence — Each summary sentence is tied to a verbatim excerpt and model-checked; completeness and independent factual correctness remain unverified. Evidence assessment: 1 sub-claim remains 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 does the paper define or measure as citation quality?”

The paper develops automatic metrics along three dimensions—fluency, correctness, and citation quality—and demonstrates their strong correlation with human judgements. Source text: “We develop automatic metrics along three dimensions—fluency, correctness, and citation quality—and demonstrate their strong correlation with human judgements.”

Citation quality is measured by checking whether the cited source directly supports the nearby claim and opens to the correct page or region. Source text: “Measure citation quality by checking whether the cited source directly supports the nearby claim and opens to the correct page or region.”

Research target 2

Requested topic (unverified): “What does the paper define or measure as answer correctness?”

Faithfulness measures whether the claims in an answer are supported by the retrieved context supplied to the model. Source text: “Faithfulness measures whether the claims in an answer are supported by the retrieved context supplied to the model.”

Research target 3

Requested topic (unverified): “How does the paper distinguish citation quality from answer correctness, including any stated limitations of each measure?”

A relevant citation is not automatically a supporting citation; entailment and link correctness are separate checks. Source text: “Evaluation rule: a relevant citation is not automatically a supporting citation.”

Answer relevance should usually be measured separately from faithfulness, correctness, and citation quality. Source text: “Answer relevance should usually be measured separately from faithfulness, correctness, and citation quality.”

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.

Supplied original source status

  • https://aclanthology.org/2023.emnlp-main.398/: Bounded text extracted from https://aclanthology.org/2023.emnlp-main.398/; qualifying excerpts retained.

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.

  1. Requested topic (unverified): “What does the paper define or measure as citation quality?”

    40% estimated
    “We develop automatic metrics along three dimensions—fluency, correctness, and citation quality—and demonstrate their strong correlation with human judgements.” [S1] Enabling Large Language Models to Generate Text with Citations
    “Measure citation quality by checking whether the cited source directly supports the nearby claim and opens to the correct page or region.” [S4] How Do I Measure RAG Faithfulness and Citation Quality? | DocuShell

  2. Requested topic (unverified): “What does the paper define or measure as answer correctness?”

    40% estimated
    “Faithfulness measures whether the claims in an answer are supported by the retrieved context supplied to the model.” [S4] How Do I Measure RAG Faithfulness and Citation Quality? | DocuShell

  3. Requested topic (unverified): “How does the paper distinguish citation quality from answer correctness, including any stated limitations of each measure?”

    10% estimated
    “Evaluation rule: a relevant citation is not automatically a supporting citation.” [S4] How Do I Measure RAG Faithfulness and Citation Quality? | DocuShell
    “Answer relevance should usually be measured separately from faithfulness, correctness, and citation quality.” [S3] How to Measure Answer Relevance — Agent Engineering Digest
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.

  1. What does the paper define or measure as citation quality?

    2 recorded excerpts remain.

    Inspect remaining excerpts

    “We develop automatic metrics along three dimensions—fluency, correctness, and citation quality—and demonstrate their strong correlation with human judgements.”

    S1 · aclanthology.org · Enabling Large Language Models to Generate Text with Citations · version c3a8cb4d758e0423a3eb34ad5ac1f3e8e0d0095e97b5dcc6e6dbd213d961bfe9

    “Measure citation quality by checking whether the cited source directly supports the nearby claim and opens to the correct page or region.”

    S4 · docushell.com · How Do I Measure RAG Faithfulness and Citation Quality? | DocuShell · version 9b3ed045b0164d79c6f08a9bc013d3490a8d933445abdc655a0c9cca49ee5e92

  2. What does the paper define or measure as answer correctness?

    1 recorded excerpt remain.

    Inspect remaining excerpts

    “Faithfulness measures whether the claims in an answer are supported by the retrieved context supplied to the model.”

    S4 · docushell.com · How Do I Measure RAG Faithfulness and Citation Quality? | DocuShell · version 9b3ed045b0164d79c6f08a9bc013d3490a8d933445abdc655a0c9cca49ee5e92

  3. How does the paper distinguish citation quality from answer correctness, including any stated limitations of each measure?

    2 recorded excerpts remain.

    Inspect remaining excerpts

    “Evaluation rule: a relevant citation is not automatically a supporting citation.”

    S4 · docushell.com · How Do I Measure RAG Faithfulness and Citation Quality? | DocuShell · version 9b3ed045b0164d79c6f08a9bc013d3490a8d933445abdc655a0c9cca49ee5e92

    “Answer relevance should usually be measured separately from faithfulness, correctness, and citation quality.”

    S3 · agentengineeringdigest.com · How to Measure Answer Relevance — Agent Engineering Digest · version a5ac9456a0915c25f4d9373770f65ef6d2b4d9941ca816a6b9d4d3666e13c325

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 by cited source evidence matrix
Research target (unverified)Inspection status[S1] Enabling Large Language Models to Generate Text with CitationsPublication: aclanthology.orgPublished: Not recorded[S3] How to Measure Answer Relevance — Agent Engineering DigestPublication: agentengineeringdigest.comPublished: Not recorded[S4] How Do I Measure RAG Faithfulness and Citation Quality? | DocuShellPublication: docushell.comPublished: Not recorded
What does the paper define or measure as citation quality?Recorded excerpt
Inspect 1 excerpt
We develop automatic metrics along three dimensions—fluency, correctness, and citation quality—and demonstrate their strong correlation with human judgements.
No excerpt recorded
Inspect 1 excerpt
Measure citation quality by checking whether the cited source directly supports the nearby claim and opens to the correct page or region.
What does the paper define or measure as answer correctness?Recorded excerptNo excerpt recordedNo excerpt recorded
Inspect 1 excerpt
Faithfulness measures whether the claims in an answer are supported by the retrieved context supplied to the model.
How does the paper distinguish citation quality from answer correctness, including any stated limitations of each measure?Recorded excerptNo excerpt recorded
Inspect 1 excerpt
Answer relevance should usually be measured separately from faithfulness, correctness, and citation quality.
Inspect 1 excerpt
Evaluation rule: a relevant citation is not automatically a supporting citation.

Reference export

3 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

Helpful?

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Spent$0.025
To creators0%
Decisions0 bought · 3 cached · 93 skipped
llm:deepseek:deepseek-v4-prolive on Arc mainnet
Decision log · 139 steps
§ IThe decision$0.025 settled / $0.05
50%$0.025 under cap
Decompose

Breaking down: "Using https://aclanthology.org/2023.emnlp-main.398/, distinguish citation quality from answer correctness for a limitations section about a research agent. Cite only material actually retrieved; keep unread sources and unsupported points explicit. Do not force a purchase or a reward."

Decompose

Identified 3 research target(s) to investigate; these are not established facts

Decompose

Deep mode: up to 4 paid/cached/public reads plus one bounded gap-expansion pass when needed.

Discover

Historical article search is unavailable for part of this run; available retained feed previews remain in discovery. No exhaustive archive search is claimed.

Discover

Supplied source URL https://aclanthology.org/2023.emnlp-main.398/ admitted as an unread discovery lead. No official authorship or evidence established; a supplied fragment requests a section but only a bounded whole-document read is supported.

Discover

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.

Discover

Discovered 2 verified creator source(s) and 94 free public reference(s)

Decide

Source selection partially withheld

Decision validation withheld 1 candidate(s) and rejected 1 row(s). Independently valid proposals continue through the existing read and payment gates. All research targets remain; proposed relevance is not verified evidence.

11 candidates · 3 targets · 11 proposal rows
11 matched · 9 actionable · 1 withheld · 1 invalid rows

Reasons: empty_targets

Pre-check

Claim-aware portfolio (exhaustive; bounded selection, not a claim of global optimality) selected 3/17 positive proposal(s): 3 free/cache selections + 0 paid fresh selections, predicting 3/3 claim(s) above the evidence floor with $0.000000/$0.025000 fetch USDC reserved.

Pre-check

Free-preview pre-check maps an actionable source to every sub-claim (3/3); paid reading may proceed within the budget.

DecideCACHE
https://aclanthology.org/2023.emnlp-main.398/$0 · EV 90%

User-supplied original URL for the ACL paper; likely contains definitions of citation quality and answer correctness and their limitations, directly relevant to all targets. - 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, 3; 0 fetch USDC, 1 attention slot).

DecideCACHE
Grounded answers: distinguish unsupported and incorrect statements | NeuraPath Academy$0 · EV 80%

Page explicitly discusses distinguishing unsupported and incorrect statements, relevant to target 2 and possibly target 0. - 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).

DecideCACHE
How to Measure Answer Relevance — Agent Engineering Digest$0 · EV 70%

Explicitly distinguishes answer relevance from citation quality and correctness, directly relevant to targets 1 and 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 2, 3; 0 fetch USDC, 1 attention slot).

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arXiv - Attention authors: temporary change to announcement schedule due to holiday$0 · EV 0%

arXiv holiday schedule announcement is unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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arXiv - We’re Hiring! Associate Production Editor$0 · EV 0%

Hiring post for production editor does not address citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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arXiv - arXiv receives Multiyear Philanthropic Commitments to Support Its Launch as an Independent Nonprofit$0 · EV 0%

Philanthropic funding announcement is irrelevant to the research targets. - free public feed reference; no purchase or creator reward.

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Bank for International Settlements - Are stablecoins and bank deposits substitutes?$0 · EV 0%

Stablecoins and bank deposits paper is unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Bank for International Settlements - Chasing El Dorado: gold under shifting geopolitical and financial conditions$0 · EV 0%

Gold and geopolitical risks paper is unrelated to the research targets. - free public feed reference; no purchase or creator reward.

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Bank for International Settlements - The leverage ratio and the output floor: complementarities and overlaps$0 · EV 0%

Leverage ratio and output floor paper is unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Chip Huyen - Open challenges in LLM research$0 · EV 0%

Open challenges in LLM research may mention hallucinations but not citation quality or answer correctness as defined in the target paper. - free public feed reference; no purchase or creator reward.

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Chip Huyen - Common pitfalls when building generative AI applications$0 · EV 0%

Common pitfalls in generative AI applications is not focused on citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Chip Huyen - Building A Generative AI Platform$0 · EV 0%

Building a generative AI platform does not address citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Chip Huyen - Predictive Human Preference: From Model Ranking to Model Routing$0 · EV 0%

Predictive human preference is unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Cloudflare Workers - Using AI to chart a course for our post-quantum migration$0 · EV 0%

Post-quantum migration blog is unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Cloudflare Workers - Detect and send production issues straight to your agent$0 · EV 0%

Production issue detection for agents is unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Cloudflare Workers - The Cloudflare Blog — brought to you by EmDash$0 · EV 0%

Cloudflare blog redesign is unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Cloudflare Workers - Next.js applications, powered by Vite: introducing Vinext 1.0$0 · EV 0%

Vinext 1.0 release is unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Creative Commons - Guidance on Using CC Licenses in an AI Ecosystem$0 · EV 0%

CC license guidance in AI ecosystem is unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Creative Commons - Openness & Digital Sovereignty: Who Sustains the Commons?$0 · EV 0%

Digital sovereignty event summary is unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Creative Commons - Open Heritage in the Age of Artificial Intelligence$0 · EV 0%

Open heritage and AI is unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Google DeepMind - Introducing SynthID Bio$0 · EV 0%

SynthID Bio announcement is unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Directory of Open Access Journals - The story behind the journal: International Social Research Nexus (ISRN)$0 · EV 0%

Journal founder interview is unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Directory of Open Access Journals - Paradise Lost, Knowledge Regained: Jan Erik Frantsvåg on reclaiming open access (Part 1)$0 · EV 0%

Interview about open access publishing infrastructure; no relevance to citation quality or answer correctness in a research agent. - free public feed reference; no purchase or creator reward.

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Directory of Open Access Journals - Sustaining trusted open access infrastructure: Thank you to our publisher and data user supporters$0 · EV 0%

DOAJ supporter thank-you post; unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Docker - Docker and CNCF partner on an open spec for agent permissions$0 · EV 0%

Docker/CNCF agent permissions spec; not about citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Docker Cloud Sandboxes launch; unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Docker Cloud Sandboxes introduction; unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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DuckDB CLI agent mode; not about citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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LLM source code security; unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Eugene Yan - Patterns for Building Cybersecurity Evals$0 · EV 0%

Cybersecurity evals; unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Eugene Yan - Evaluating Long-Context Question & Answer Systems$0 · EV 0%

Long-context QA evaluation; may touch answer correctness but not citation quality, and not the specific paper. - free public feed reference; no purchase or creator reward.

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The Go Blog - Arch-specific SIMD in Go$0 · EV 0%

Go SIMD blog; unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Go goroutine leak profiles; unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Lilian Weng - Thinking about High-Quality Human Data$0 · EV 0%

High-quality human data; not about citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Lilian Weng - Extrinsic Hallucinations in LLMs$0 · EV 0%

Extrinsic hallucinations; not about citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Agent Lightning RL framework; unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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AI tutoring simulation; unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Microsoft Research - Improving synthesis prediction of small molecules at scale with RetroChimera$0 · EV 0%

Retrosynthesis model; unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Netlify - Ask mode: consult an agent before making changes$0 · EV 0%

Netlify Ask mode; unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Netlify - 5x faster Edge Functions: v8 isolates to Unikraft MicroVMs$0 · EV 0%

Edge Functions performance; unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Netlify - Choosing an AI model: one prompt, 11 models, very different results$0 · EV 0%

AI model comparison; unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Ollama - Ollama now supports Jev-style decision models$0 · EV 0%

Ollama decision models; unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Ollama - Ollama's highest performance on Apple Silicon yet with MLX$0 · EV 0%

Ollama MLX performance announcement is unrelated to citation quality or answer correctness in the ACL paper. - free public feed reference; no purchase or creator reward.

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OpenAI Developers - API deployment checklist$0 · EV 0%

OpenAI deployment checklist is about API production settings, not citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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OpenAI Developers - OpenAI Developers plugin$0 · EV 0%

OpenAI Developers plugin guide is unrelated to the ACL paper's citation quality and answer correctness measures. - free public feed reference; no purchase or creator reward.

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OpenAI Developers - Realtime prompting guide$0 · EV 0%

Realtime prompting guide is about voice agents, not citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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OpenAlex - Linking the world’s research to the code it runs on$0 · EV 0%

OpenAlex blog post about software citation is tangential; it does not define citation quality or answer correctness for a research agent. - free public feed reference; no purchase or creator reward.

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OpenAlex - Same topics, better assignments: a new topic classifier for OpenAlex$0 · EV 0%

OpenAlex topic classifier post is about topic assignments, not citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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OpenAlex - Should OpenAlex publish a novelty score? A vibe check$0 · EV 0%

OpenAlex novelty score discussion is about research novelty, not citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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PostgreSQL - Dasha 1.8: index recommendations, I/O analysis, schema checks and log insights$0 · EV 0%

PostgreSQL Dasha dashboard is unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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PostgreSQL - pgx-bm25 1.0: BM25 ranked full-text search as a native PostgreSQL index$0 · EV 0%

PostgreSQL BM25 search index is unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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PyTorch - From Upstream Changes to Downstream Confidence: Inside Torch Spyre’s Integration with PyTorch CRCR$0 · EV 0%

PyTorch CRCR integration is about CI testing, not citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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PyTorch - Building Spyre as a Native PyTorch Device$0 · EV 0%

PyTorch Spyre device integration is unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Rust Blog - GitHub Actions leaking secrets when Miri output is cached$0 · EV 0%

Rust security advisory about Miri caching is unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Rust Blog - Announcing Rust 1.99.0$0 · EV 0%

Rust 1.99.0 release notes are unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Sebastian Raschka - MiMo-V2.6 Pro Architecture and Training Notes$0 · EV 0%

MiMo architecture notes are about model training, not citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Sebastian Raschka - OpenAI Astra and Looped Transformers$0 · EV 0%

OpenAI Astra and looped transformers note is unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Spotify Engineering - Why Spotify Is Not Using Bayesian A/B Testing$0 · EV 0%

Spotify Bayesian A/B testing post is unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Spotify Engineering - AI Changed How Spotify Builds. What We Learned (and Fixed) About Quality at Higher Velocity$0 · EV 0%

Spotify AI quality post is about engineering velocity, not citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Spotify Engineering - Portal by Spotify cut my Claude Code token usage by 90%$0 · EV 0%

Spotify Portal token usage post is unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Stripe Blog - What Stripe data shows about fraud at AI startups$0 · EV 0%

Stripe fraud analysis is unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Stripe Blog - Why I tried to kill token billing (and why we kept it)$0 · EV 0%

Stripe token billing post is unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Supabase - Scale without limits: Multigres, OrioleDB, and dbarena$0 · EV 0%

Supabase scale post is unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Supabase - Getting started with the Supabase .NET SDK$0 · EV 0%

Supabase .NET SDK guide is unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Supabase - Enterprise-managed auth for the Supabase MCP server$0 · EV 0%

Supabase MCP auth post is unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Tailscale - Your agent, your network: How Meta’s Muse agent works with Tailscale$0 · EV 0%

Topic is Meta's Muse agent networking, unrelated to citation quality or answer correctness in the ACL paper. - free public feed reference; no purchase or creator reward.

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Tailscale - Sovereign AI starts with open infrastructure$0 · EV 0%

Topic is sovereign AI infrastructure, unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Vicki Boykis - Bad code is kudzu$0 · EV 0%

Topic is code maintenance, unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Vicki Boykis - We should be more tired than the model$0 · EV 0%

Topic is agentic code generation and cognitive load, unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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vLLM - How we trained the fastest DSpark for Kimi-K3 using GB300 NVL72$0 · EV 0%

Topic is DSpark training for Kimi-K3, unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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vLLM - Improve TTFT for Multi-Turn Agentic Workloads with Bi-Directional KV Transfer in vLLM$0 · EV 0%

Topic is KV transfer optimization for vLLM, unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Wikimedia Diff - Tech News 2026 – Issue 42$0 · EV 0%

Topic is Wikimedia tech news, unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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Wikimedia Diff - Bringing Wiki Projects to the 2026 Summer Institute in Computational Social Science in Kenya$0 · EV 0%

Topic is Wikimedia community outreach, unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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x402 - x402: An open standard for internet-native payments$0 · EV 0%

Topic is x402 payment standard, unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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x402 - Linux Foundation Announces Operational Launch of x402 Foundation to Standardize Internet-Native Payments for AI Agents and Applications$0 · EV 0%

Topic is x402 Foundation launch, unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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x402 - Linux Foundation Appoints Michael Hursta as Executive Director of the x402 Foundation$0 · EV 0%

Topic is x402 Foundation executive appointment, unrelated to citation quality or answer correctness. - free public feed reference; no purchase or creator reward.

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RAG metrics: answer correctness$0 · EV 70%

RAG metrics answer correctness page likely defines answer correctness, relevant to target 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.

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Answer correctness$0 · EV 70%

Answer correctness definition page likely relevant to target 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.

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How Do I Measure RAG Faithfulness and Citation Quality? | DocuShell$0 · EV 80%

Page discusses measuring RAG faithfulness and citation quality, relevant to 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.

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Answer correctness - Ragas$0 · EV 70%

Ragas answer correctness documentation likely relevant to target 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.

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Measure Local RAG Recall, Precision, and Citation Coverage – Zima Store Online$0 · EV 80%

Page discusses citation coverage and correctness, relevant to 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.

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Correctness$0 · EV 70%

Correctness metric page likely relevant to target 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.

DecideSKIP
publications - Tool to distinguish the paper citation by type - Academia Stack Exchange$0 · EV 0%

Stack Exchange question about tools to distinguish paper citation types, not about citation quality vs answer correctness in the ACL paper. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
Answer correctness - TP, FP, FN, factual F1 and the ...$0 · EV 70%

Answer correctness page with TP/FP/FN likely relevant to target 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.

DecideSKIP
publications - Tool to distinguish the paper citation by type - Academia Stack Exchange$0 · EV 0%

Duplicate Stack Exchange question about citation types, not relevant to the ACL paper's definitions. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
Answer Correctness Metric | DeepEval - The LLM Evaluation Framework$0 · EV 70%

DeepEval's answer correctness metric page likely defines answer correctness and may contrast it with citation quality, relevant to targets 1 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.

DecideSKIP
What Is Correctness | Arize AI$0 · EV 70%

Arize glossary defines correctness and contrasts it with faithfulness, useful for target 1 and possibly 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.

DecideSKIP
How does "Answer Correctness" differ from "Faithfulness" in RAG evaluatio..$0 · EV 50%

Q&A about answer correctness vs faithfulness in RAG evaluation may clarify answer correctness, relevant to target 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.

DecideSKIP
Answer relevance evaluation for LLM applications - Langfuse$0 · EV 70%

Langfuse article explicitly contrasts answer relevance and answer correctness, relevant to targets 1 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.

DecideSKIP
APMs Traditionally Don't Measure Correctness — Here's What Does - DEV Community$0 · EV 50%

Discusses measuring correctness in AI systems, potentially relevant to target 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.

DecideSKIP
Evaluating Correctness and Faithfulness of Instruction ...$0 · EV 60%

Academic paper on evaluating correctness and faithfulness, likely defines answer correctness, relevant to target 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.

DecideSKIP
How to Measure Correctness of AI Generated Code Quality – Exceeds AI Blog$0 · EV 0%

Focuses on AI-generated code quality, not answer correctness in research agents; not relevant to the targets. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
How Correct Is Your Answer? A Semantic Correctness ...$0 · EV 60%

Semantic correctness framework for open QA evaluation may define answer correctness, relevant to target 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.

DecideSKIP
Keryx owner release notes — first-party validation — Keryx v0.27.50$0.005 · EV 40%

Cached release notes mention citation scores and answer failures, potentially relevant to target 0 and 2. — cached content is free, but this read does not clear the attention gate (EV 0.40, minimum 0.45, with a required claim target).

DecideSKIP
Keryx Engineering (first-party) — Recovering a Keryx paid research job$0.002 · EV 0%

Selection validator withheld this source (empty_targets); no read authorized.

Fetch

READ https://aclanthology.org/2023.emnlp-main.398/ - selected original public page, 0 USDC; not a cache hit.

Fetch

Read extracted public text from https://aclanthology.org/2023.emnlp-main.398/ - S1; quote matching establishes source grounding, not fact verification.

Fetch

READ Grounded answers: distinguish unsupported and incorrect statements | NeuraPath Academy - selected original public page, 0 USDC; not a cache hit.

Fetch

Read extracted public text from https://neurapath.in/blog/grounded-answers-distinguish-unsupported-and-incorrect-statements - S2; quote matching establishes source grounding, not fact verification.

Fetch

READ How to Measure Answer Relevance — Agent Engineering Digest - selected original public page, 0 USDC; not a cache hit.

Fetch

Read extracted public text from https://agentengineeringdigest.com/knowledge-base/evaluation-and-quality/how-to-measure-answer-relevance/ - S3; quote matching establishes source grounding, not fact verification.

Re-evaluate

Sub-claim "What does the paper define or measure as citation quality?": 60% covered by S1 — S1 states ALCE develops automatic metrics along three dimensions—fluency, correctness, and citation quality—and demonstrates strong correlation with human judgements, but the excerpt does not define the specific components or operationalization of citation quality. S2 and S3 mention citation quality only in passing and do not provide the paper's definition.

Re-evaluate

Sub-claim "What does the paper define or measure as answer correctness?": 60% covered by S1 — S1 lists correctness as one of the three automatic metrics in ALCE, but does not define how correctness is measured or what it entails. S2 and S3 discuss answer correctness in general RAG contexts, not the paper's specific definition.

Re-evaluate

Sub-claim "How does the paper distinguish citation quality from answer …": 30% covered by S1 — S1 only states that ALCE has metrics along three dimensions and that current systems lack complete citation support 50% of the time on ELI5; it does not explicitly distinguish citation quality from answer correctness or discuss limitations of each measure. S2 and S3 provide general distinctions between support/citation and correctness, but not from this paper.

Re-evaluate

The primary source (S1) is an abstract that mentions citation quality and correctness but does not define or distinguish them. The skipped sources include two free web pages that explicitly discuss citation quality and correctness distinctions in RAG contexts, which could help fill the gap for the third sub-claim. However, they are not the paper itself, so they may not provide the paper's specific definitions; still, they are affordable and could improve coverage of the conceptual distinction. No paid sources are recommended because the remaining budget is low and the free sources are more relevant.

Re-evaluate

READ original public page https://docushell.com/blog/how-do-i-measure-rag-faithfulness-and-citation-quality, 0 USDC - S4

Re-evaluate

Attention budget reached 4 source(s); stopping gap expansion.

Sufficiency

Final check — "What does the paper define or measure as citation quality?": 40% assessed by S1

Sufficiency

Final check — "What does the paper define or measure as answer correctness?": 40% assessed by S1

Sufficiency

Final check — "How does the paper distinguish citation quality from answer …": 10% assessed by S1

Sufficiency

Final coverage assessment — S1 provides the paper's abstract, which explicitly defines citation quality as one of three automatic metrics (fluency, correctness, citation quality) and mentions answer correctness as another metric, but does not detail how they are measured or distinguished. S2, S3, and S4 are secondary sources that discuss separating citation quality from answer correctness, but they are not the paper itself and do not provide the paper's definitions or limitations. Therefore, the paper's specific definitions and distinctions are only partially covered by S1, and the limitations of each measure are not covered at all. The assessment does not establish a complete supported answer for every requested part.

Synthesize

Synthesizing a grounded answer from 4 source(s)…

Evidence

Relevance review returned; only checked excerpts can retain support, and review cannot raise it.

Evidence

Delivering 5 summary sentence(s), each tied to one checked verbatim excerpt; complete synthesis remains unverified.

Evidence

Source-matched public excerpt (no creator reward) — S1, research target 1, proposed support 40% (estimate, not entailment): “We develop automatic metrics along three dimensions—fluency, correctness, and citation quality—and demonstrate their strong correlation with…”

Evidence

Source-matched public excerpt (no creator reward) — S4, research target 1, proposed support 90% (estimate, not entailment): “Measure citation quality by checking whether the cited source directly supports the nearby claim and opens to the correct page or region.”

Evidence

Below support/reward gate — S1, research target 2, proposed support 30% (estimate, not entailment): “We develop automatic metrics along three dimensions—fluency, correctness, and citation quality—and demonstrate their strong correlation with…”

Evidence

Source-matched public excerpt (no creator reward) — S4, research target 2, proposed support 80% (estimate, not entailment): “Faithfulness measures whether the claims in an answer are supported by the retrieved context supplied to the model.”

Evidence

Source-matched public excerpt (no creator reward) — S4, research target 3, proposed support 70% (estimate, not entailment): “Evaluation rule: a relevant citation is not automatically a supporting citation.”

Evidence

Source-matched public excerpt (no creator reward) — S3, research target 3, proposed support 60% (estimate, not entailment): “Answer relevance should usually be measured separately from faithfulness, correctness, and citation quality.”

Synthesize

Prepared a sentence-cited summary from 3 source(s)

Verdict

Confidence: Low — Each summary sentence is tied to a verbatim excerpt and model-checked; completeness and independent factual correctness remain unverified. Evidence assessment: 1 sub-claim remains below the evidence threshold.

Attribute

aclanthology.org contributed 50% - free public reference; reward share withheld

Attribute

agentengineeringdigest.com contributed 20% - free public reference; reward share withheld

Attribute

docushell.com contributed 30% - free public reference; reward share withheld

Settle

Keryx operating allocation $0.025000 for unclaimed public citations; sponsored by Keryx, separate from creator rewards.

Settle

Settled $0.025000 Keryx operating fee for unclaimed public citations.

Done

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
e3dd5c18910cd215c3ba9fc08080db131365996a0ded722a3520ae99a9025ae8

Keep this digest separately from the downloaded sidecar. The offline audit command uses it as the expected digest.

Model proposal → selected plan → code checkpoint

BUY0
SKIP92
CACHE0
FREE4
ESCALATE0
UNKNOWN0

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

CandidateRead roundModel proposedSelected planCheckpointCode resultReason / rule
750CACHECACHEselectionCONTINUEselected-plan
770CACHECACHEselectionCONTINUEselected-plan
870CACHECACHEselectionCONTINUEselected-plan
10SKIPSKIPselectionSKIPplan-skip
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960SKIPSKIPselectionSKIPplan-skip
750CACHECACHEduplicateCONTINUEduplicate
750CACHECACHEpublic-routeFREEpublic-channel
770CACHECACHEduplicateCONTINUEduplicate
770CACHECACHEpublic-routeFREEpublic-channel
870CACHECACHEduplicateCONTINUEduplicate
870CACHECACHEpublic-routeFREEpublic-channel
Run context0——expansionCONTINUEexpansion
Run context1——attentionCONTINUEattention
Run context1——recommendationCONTINUEengine-recommendation
Run context1——recommendationCONTINUEengine-recommendation
791BUYSKIPduplicateCONTINUEduplicate
791BUYSKIPdiscussionCONTINUEdiscussion
791BUYSKIPattentionCONTINUEattention
791BUYSKIPpublic-routeFREEpublic-channel
811BUYSKIPduplicateCONTINUEduplicate
811BUYSKIPdiscussionCONTINUEdiscussion
811BUYSKIPattentionSTOPattention

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.

View JSON ↗Download
Manage question privacy

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.

Ask a follow-upNew dispatch · creators paid again

Carries this dispatch’s question as context — never its answer. The next dispatch is read from sources bought for it.

From the archive

Related dispatches

Dispatch
Using https://aclanthology.org/2024.eacl-demo.16/, summarize which retrieval-augmented generation evaluation dimensions are described and identify limitations of treating them as direct truth labels. Cite only material actually retrieved; keep unread sources and unsupported points explicit. Do not force a purchase or a reward.
1 source cited$0.0000 recorded creator rewards
Dispatch
Using https://aclanthology.org/2023.emnlp-main.398/, make a table of the evaluation dimensions reported for generated answers with citations. Mark whether full paper text was read. Cite only material actually retrieved; keep unread sources and unsupported points explicit. Do not force a purchase or a reward.
1 source cited$0.0000 recorded creator rewards
Dispatch
Using https://aclanthology.org/2023.emnlp-main.398/ and https://aclanthology.org/2023.emnlp-main.741/, propose a small human annotation protocol for a paper that currently records only target coverage and quotations. Cite only material actually retrieved; keep unread sources and unsupported points explicit. Do not force a purchase or a reward.
2 sources cited$0.0000 recorded creator rewards
Dispatch
Using https://aclanthology.org/2023.emnlp-main.741/, describe the atomic-fact evaluation unit and give a proposed annotation row for a research-agent answer. Cite only material actually retrieved; keep unread sources and unsupported points explicit. Do not force a purchase or a reward.
2 sources cited$0.0000 recorded creator rewards
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