Archived 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.

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 reading2 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 2/2 claimsportfolio 2/8 · evidence 100%

> ⚠ 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 is the atomic-fact evaluation unit as described in the paper at https://aclanthology.org/2023.emnlp-main.741/?”

The atomic-fact evaluation unit is a series of atomic facts into which a generation is broken, and the evaluation computes the percentage of those atomic facts supported by a reliable knowledge source. Source text: “In this paper, we introduce FACTSCORE, a new evaluation that breaks a generation into a series of atomic facts and computes the percentage of atomic facts supported by a reliable knowledge source.”

Research target 2

Requested topic (unverified): “What would a proposed annotation row for a research-agent answer look like, based on the atomic-fact evaluation unit described in the paper?”

Source excerpts:

  • “--use_​atomic_​facts: If specified, it uses model-generated atomic facts released as part of our data instead of running the atomic fact generator.”

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.

  • “FACTSCORE: Fine-grained Atomic Evaluation of Factual ...”: The document exceeded the read-size limit. Select a specific section or smaller publisher text/PDF edition of the same version; the whole document was not read.
  • “FACTSCORE: Fine-grained Atomic Evaluation of Factual ...”: Original text was unavailable. Check the publisher URL and provide an accessible original of the same document; this failure does not establish that the document does not exist.
  • “FActScore: Metric for Factual Precision in LLMs”: HTML text extraction failed. Look for a publisher-provided text/PDF edition of the same document and version; a preview cannot replace the original content.

Supplied original source status

  • https://aclanthology.org/2023.emnlp-main.741/: Bounded text extracted from https://aclanthology.org/2023.emnlp-main.741/; 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 is the atomic-fact evaluation unit as described in the paper at https://aclanthology.org/2023.emnlp-main.741/?”

    90% estimated
    “In this paper, we introduce FACTSCORE, a new evaluation that breaks a generation into a series of atomic facts and computes the percentage of atomic facts supported by a reliable knowledge source.” [S1] FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
  2. Requested topic (unverified): “What would a proposed annotation row for a research-agent answer look like, based on the atomic-fact evaluation unit described in the paper?”

    30% estimated
    “--use_atomic_facts: If specified, it uses model-generated atomic facts released as part of our data instead of running the atomic fact generator.” [S2] GitHub - shmsw25/FActScore: A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic Evaluation of Factual Precision in
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 is the atomic-fact evaluation unit as described in the paper at https://aclanthology.org/2023.emnlp-main.741/?

    1 recorded excerpt remain.

    Inspect remaining excerpts

    “In this paper, we introduce FACTSCORE, a new evaluation that breaks a generation into a series of atomic facts and computes the percentage of atomic facts supported by a reliable knowledge source.”

    S1 · aclanthology.org · FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation · version 252641a0a48679567205b7355355e00dfeead24c214570b5958949fbc9cd6bb8

  2. What would a proposed annotation row for a research-agent answer look like, based on the atomic-fact evaluation unit described in the paper?

    1 recorded excerpt remain.

    Inspect remaining excerpts

    “--use_atomic_facts: If specified, it uses model-generated atomic facts released as part of our data instead of running the atomic fact generator.”

    S2 · github.com · GitHub - shmsw25/FActScore: A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic Evaluation of Factual Precision in · version 347f7285668b0c1e7214fe0ef64e8f60468d07e9e30a880ca0328ddccbb81c75

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] FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationPublication: aclanthology.orgPublished: Not recorded[S2] GitHub - shmsw25/FActScore: A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic Evaluation of Factual Precision inPublication: github.comPublished: Not recorded
What is the atomic-fact evaluation unit as described in the paper at https://aclanthology.org/2023.emnlp-main.741/?Recorded excerpt
Inspect 1 excerpt
In this paper, we introduce FACTSCORE, a new evaluation that breaks a generation into a series of atomic facts and computes the percentage of atomic facts supported by a reliable knowledge source.
No excerpt recorded
What would a proposed annotation row for a research-agent answer look like, based on the atomic-fact evaluation unit described in the paper?Recorded excerptNo excerpt recorded
Inspect 1 excerpt
--use_atomic_facts: If specified, it uses model-generated atomic facts released as part of our data instead of running the atomic fact generator.

Reference export

2 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?

Loading feedback…

Spent$0.025
To creators0%
Decisions0 bought · 2 cached · 84 skipped
llm:deepseek:deepseek-v4-prolive on Arc mainnet
Decision log · 120 steps
§ IThe decision$0.025 settled / $0.05
50%$0.025 under cap
Decompose

Breaking down: "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."

Decompose

Identified 2 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.741/ 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: 3/3 planned queries attempted, 2 succeeded, 17 public page previews/leads, 1 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 84 free public reference(s)

Pre-check

Claim-aware portfolio (exhaustive; bounded selection, not a claim of global optimality) selected 2/8 positive proposal(s): 2 free/cache selections + 0 paid fresh selections, predicting 2/2 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 (2/2); paid reading may proceed within the budget.

DecideCACHE
https://aclanthology.org/2023.emnlp-main.741/$0 · EV 90%

User-supplied original URL for the FActScore paper; unread contents likely directly describe the atomic-fact evaluation unit and could inform a proposed annotation row. - 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).

DecideCACHE
FACTSCORE: Fine-grained Atomic Evaluation of Factual ...$0 · EV 85%

ACL Anthology PDF of the FActScore paper; preview explicitly discusses atomic fact as a unit, directly relevant to target 0 and likely 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).

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

arXiv blog post about holiday schedule; unrelated to atomic-fact evaluation unit or annotation row. - free public feed reference; no purchase or creator reward.

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

arXiv blog post about philanthropic commitments; unrelated to atomic-fact evaluation unit or annotation row. - free public feed reference; no purchase or creator reward.

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

BIS working paper on stablecoins and bank deposits; unrelated to atomic-fact evaluation unit or annotation row. - free public feed reference; no purchase or creator reward.

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

BIS working paper on gold and geopolitical risks; unrelated to atomic-fact evaluation unit or annotation row. - free public feed reference; no purchase or creator reward.

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

BIS paper on leverage ratio and output floor; unrelated to atomic-fact evaluation unit or annotation row. - free public feed reference; no purchase or creator reward.

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

Chip Huyen article on open challenges in LLM research; unrelated to atomic-fact evaluation unit or annotation row. - free public feed reference; no purchase or creator reward.

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

Chip Huyen article on pitfalls in generative AI applications; unrelated to atomic-fact evaluation unit or annotation row. - free public feed reference; no purchase or creator reward.

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

Cloudflare blog post on post-quantum migration; unrelated to atomic-fact evaluation unit or annotation row. - free public feed reference; no purchase or creator reward.

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

Cloudflare blog post on issue detection for agents; unrelated to atomic-fact evaluation unit or annotation row. - free public feed reference; no purchase or creator reward.

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

Creative Commons guidance on CC licenses in AI; unrelated to atomic-fact evaluation unit or annotation row. - free public feed reference; no purchase or creator reward.

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

Creative Commons article on open heritage and AI; unrelated to atomic-fact evaluation unit or annotation row. - free public feed reference; no purchase or creator reward.

DecideSKIP
Creative Commons - Announcing Four Regional Events for CC’s 25th Anniversary$0 · EV 0%

Creative Commons announcement about regional events; unrelated to atomic-fact evaluation unit or annotation row. - free public feed reference; no purchase or creator reward.

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

DeepMind announcement about SynthID Bio; unrelated to atomic-fact evaluation unit or annotation row. - free public feed reference; no purchase or creator reward.

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

DOAJ blog post about a journal's story; unrelated to atomic-fact evaluation unit or annotation row. - free public feed reference; no purchase or creator reward.

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

DOAJ interview about open access; unrelated to atomic-fact evaluation unit or annotation row. - free public feed reference; no purchase or creator reward.

DecideSKIP
Docker - YOLO Mode: Agent Autonomy Without the Guardrails$0 · EV 0%

Docker blog post on YOLO mode; unrelated to atomic-fact evaluation unit or annotation row. - free public feed reference; no purchase or creator reward.

DecideSKIP
Docker - Building Reproducible AI Evaluation Workflows with Docker Sandboxes$0 · EV 0%

Docker blog post on reproducible AI evaluation workflows; unrelated to atomic-fact evaluation unit or annotation row. - free public feed reference; no purchase or creator reward.

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

Docker blog post on agent permissions spec; unrelated to atomic-fact evaluation unit or annotation row. - free public feed reference; no purchase or creator reward.

DecideSKIP
DuckDB - Agent Mode in the DuckDB CLI$0 · EV 0%

DuckDB article on agent mode in CLI; unrelated to atomic-fact evaluation unit or annotation row. - free public feed reference; no purchase or creator reward.

DecideSKIP
DuckDB - Faster String Aggregations with Dimension Tables$0 · EV 0%

DuckDB article about string aggregations and dimension tables; unrelated to atomic-fact evaluation or annotation rows. - free public feed reference; no purchase or creator reward.

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

Evaluating long-context QA systems may discuss evaluation metrics, but no evidence it covers atomic-fact units from the specified ACL paper. - free public feed reference; no purchase or creator reward.

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

Go blog about SIMD; unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

DecideSKIP
The Go Blog - Size-Specialized Memory Allocation$0 · EV 0%

Go blog about memory allocation; unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

DecideSKIP
The Go Blog - Goroutine Leak Profiles$0 · EV 0%

Go blog about goroutine leaks; unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

DecideSKIP
Google Research - Unlocking Earth AI’s planetary geospatial foundation models for global public health$0 · EV 0%

Google Research article on geospatial models; unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

DecideSKIP
Lilian Weng - Reward Hacking in Reinforcement Learning$0 · EV 0%

Reward hacking in RL; unrelated to atomic-fact evaluation units. - free public feed reference; no purchase or creator reward.

DecideSKIP
Microsoft Research - Introducing Quine: An AI research system designed for the complexity of biology$0 · EV 0%

Microsoft Research article on Quine biology system; unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

DecideSKIP
Microsoft Research - Simulating student learning for better AI tutoring$0 · EV 0%

Microsoft Research article on AI tutoring simulation; unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

DecideSKIP
Microsoft Research - Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses$0 · EV 0%

Microsoft Research article on Agent Lightning RL framework; unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

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

Netlify article on Ask mode; unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

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

Netlify article on Edge Functions; unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

DecideSKIP
Netlify - New clarifying questions in Agent Runners$0 · EV 0%

Netlify article on clarifying questions; unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

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

Ollama announcement on decision models; unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

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

OpenAI Developers plugin guide; unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

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

OpenAlex article on linking research to code; unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

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

OpenAlex article on topic classifier; unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

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

PostgreSQL article on Dasha dashboard; unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

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

PostgreSQL article on BM25 index; unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

DecideSKIP
PostgreSQL - pg_plan_filter 1.0.0 released$0 · EV 0%

PostgreSQL article on plan filter; unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

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

PyTorch article on CI integration; unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

DecideSKIP
PyTorch - Optimizing Jagged Flash Attention with TLX: The Road Toward SOTA FA4 on Blackwell$0 · EV 0%

Topic is PyTorch attention kernel optimization, unrelated to atomic-fact evaluation in the ACL paper. - free public feed reference; no purchase or creator reward.

DecideSKIP
PyTorch - Session-Aware Agentic Inference with NVIDIA Dynamo$0 · EV 0%

Topic is session-aware agentic inference serving, unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

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

Topic is GitHub Actions secret leakage in Rust, unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

DecideSKIP
Rust Blog - Announcing our first Maintainers in Residence$0 · EV 0%

Topic is Rust maintainer announcements, unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

DecideSKIP
Rust Blog - Announcing a Maintainer in Residence: Scott Schafer for the Cargo team$0 · EV 0%

Topic is Rust Cargo maintainer announcement, unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

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

Topic is MiMo architecture and training, unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

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

Topic is OpenAI Astra and looped transformers, unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

DecideSKIP
Sebastian Raschka - GPT-6 Astra, Looped Transformers, and Hidden Reasoning$0 · EV 0%

Topic is GPT-6 Astra and hidden reasoning, unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

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

Topic is Bayesian A/B testing at Spotify, unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

DecideSKIP
Spotify Engineering - Introducing: Spotify Technology. Proven at Spotify, now yours.$0 · EV 0%

Topic is Spotify Technology product announcement, unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

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

Topic is Claude Code token usage reduction, unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

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

Topic is token billing pricing model, unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

DecideSKIP
Stripe Blog - Helping personal agents shop more intelligently and reliably with Link$0 · EV 0%

Topic is personal agents shopping with Link, unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

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

Topic is Postgres scaling, unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

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

Topic is Supabase .NET SDK, unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

DecideSKIP
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 atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

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

Topic is sovereign AI infrastructure, unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

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

Topic is code maintainability metaphor, unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

DecideSKIP
Vicki Boykis - Running local models is good now$0 · EV 0%

Topic is running local models, unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

DecideSKIP
Vicki Boykis - Antidote$0 · EV 0%

Topic is personal essay on building, unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

DecideSKIP
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 atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

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

Topic is KV transfer for multi-turn workloads, unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

DecideSKIP
vLLM - Announcing vllm-metal: Concurrent Serving on Apple Silicon$0 · EV 0%

Topic is vllm-metal on Apple Silicon, unrelated to atomic-fact evaluation. - free public feed reference; no purchase or creator reward.

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

Wikimedia Diff article about SICSS Kenya is unrelated to the atomic-fact evaluation unit in the FActScore paper. - free public feed reference; no purchase or creator reward.

DecideSKIP
Wikimedia Diff - Meet MEOW: An Easier Way to Discover Wikimedia Learning Resources$0 · EV 0%

Wikimedia Diff article about MEOW learning resources is unrelated to the atomic-fact evaluation unit. - free public feed reference; no purchase or creator reward.

DecideSKIP
x402 - Introducing x402 Batch Settlement: High-velocity Agentic Commerce$0 · EV 0%

x402 batch settlement article is unrelated to the atomic-fact evaluation unit. - free public feed reference; no purchase or creator reward.

DecideSKIP
x402 - Introducing x402 V2: Evolving the Standard for Internet-native Payments$0 · EV 0%

x402 V2 article is unrelated to the atomic-fact evaluation unit. - free public feed reference; no purchase or creator reward.

DecideSKIP
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation - ACL Anthology$0 · EV 85%

ACL Anthology page for the same paper; likely contains the abstract and metadata, and may include full text or link to PDF describing the atomic-fact unit. - 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
GitHub - searchsim-org/sigir26-nuggetindex: Reproducibility artefacts for "NuggetIndex: Governed Atomic Retrieval for Maintainable RAG" — annotation tool, RQ runners, baselines, and evaluation scripts$0 · EV 0%

GitHub repo for NuggetIndex is about a different paper and system, not the FActScore atomic-fact evaluation unit. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
[PDF] Fact in Fragments: Deconstructing Complex Claims via LLM-based Atomic Fact Extraction and Verification | Semantic Scholar$0 · EV 0%

Semantic Scholar page for a different paper on atomic fact extraction and verification, not the specific FActScore paper. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
GitHub - shmsw25/FActScore: A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic Evaluation of Factual Precision in$0 · EV 80%

Official GitHub implementation of FActScore; likely contains code and documentation describing atomic facts and annotation format, useful for 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
AI Agent Frontier Research Weekly: Papers, Labs, and Evaluation Progress, May 4-10 2026$0 · EV 0%

Weekly research blog post about AI agent evaluation; not the FActScore paper and unlikely to provide the specific atomic-fact definition or annotation row. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
[2305.14251] FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation$0 · EV 85%

arXiv abstract page for the FActScore paper; likely contains abstract and link to full text, directly relevant to both targets. - 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
[PDF] Dissecting Atomic Facts: Visual Analytics for Improving Fact Annotations in Language Model Evaluation | Semantic Scholar$0 · EV 0%

Semantic Scholar page for a visual analytics paper on fact annotations, not the FActScore paper itself. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
FactScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation | Research - AI at Meta$0 · EV 80%

Meta AI research page for FActScore; likely provides an official summary and possibly details on atomic facts, relevant to both targets. - 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
AtomEval: Atomic Evaluation of Adversarial Claims in Fact Verification - Paper Detail$0 · EV 0%

AtomEval paper about adversarial claims and SROM atoms, not the FActScore atomic-fact evaluation unit. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
FActScore: Metric for Factual Precision in LLMs$0 · EV 80%

Emergent Mind topic page on FActScore; preview describes atomic facts and the decompose-then-verify pipeline, directly relevant to both targets. - 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
MAD-Fact: A Multi-Agent Debate Framework for Long-Form Factuality Evaluation in LLMs - Paper Summary$0 · EV 0%

MAD-Fact paper about multi-agent debate for factuality evaluation, not the FActScore paper. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
FACTSCORE: Fine-grained Atomic Evaluation of Factual ...$0 · EV 85%

OpenReview PDF of the FActScore paper; preview explicitly mentions breaking a generation into atomic facts, directly relevant to both targets. - 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
(PDF) Experimental Evaluation of Ontology-Based Test Generation for Multi-agent Systems$0 · EV 0%

Academia.edu paper on ontology-based test generation for multi-agent systems, unrelated to the atomic-fact evaluation unit. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
The Research That Can Answer Questions About AI Evaluation Composability – Working Paper$0 · EV 0%

The preview concerns AI evaluation composability and benchmarks, not the atomic-fact evaluation unit from the ACL paper. No target is worth investigating with this source. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
The Usability of the Annotation (2016)$0 · EV 0%

The preview is about sign language corpus annotation usability, unrelated to the atomic-fact evaluation unit or research-agent answer annotation. No target is worth investigating with this source. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
Keryx owner release notes — first-party validation — Keryx v0.27.50$0.005 · EV 0%

Keryx release notes about citation scores and mobile UI do not address the atomic-fact evaluation unit or annotation row for a research-agent answer. No target is worth investigating with this source.

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

Keryx engineering documentation on recovering a paid research job is unrelated to the atomic-fact evaluation unit or annotation row. No target is worth investigating with this source.

Fetch

READ https://aclanthology.org/2023.emnlp-main.741/ - selected original public page, 0 USDC; not a cache hit.

Fetch

Read extracted public text from https://aclanthology.org/2023.emnlp-main.741/ - S1; quote matching establishes source grounding, not fact verification.

Fetch

READ FACTSCORE: Fine-grained Atomic Evaluation of Factual ... - selected original public page, 0 USDC; not a cache hit.

Fetch

Public page unavailable (article-byte-limit); no evidence admitted. Continuing research.

Re-evaluate

Sub-claim "What is the atomic-fact evaluation unit as described in the …": 70% covered by S1 — S1's abstract explicitly states that FActScore 'breaks a generation into a series of atomic facts and computes the percentage of atomic facts supported by a reliable knowledge source.' This directly answers the core definition: the atomic-fact evaluation unit is a series of atomic facts derived from a generation, with factuality measured by the percentage supported by a knowledge source. However, the excerpt does not define what constitutes an 'atomic fact' (e.g., whether it is a clause, a single claim, or a short context-independent statement), nor does it describe the procedure for breaking a generation into atomic facts. These details are likely in the full paper but are not present in the supplied passages. Thus, the answer is direct but incomplete regarding the precise nature and construction of atomic facts.

Re-evaluate

Sub-claim "What would a proposed annotation row for a research-agent an…": 0% covered — No gathered passage provides an example annotation row or schema for a research-agent answer. The abstract only mentions breaking a generation into atomic facts and computing support percentage; it does not show how individual atomic facts are annotated (e.g., columns for atomic fact, support label, evidence source). The question asks for a proposed annotation row, which would require details from the paper's methodology or examples, but none are included in the excerpt. Therefore, this sub-claim is entirely unsupported by the retrieved content.

Re-evaluate

The first sub-claim is partially covered (0.7) but lacks details on what constitutes an atomic fact and how it is extracted. The second sub-claim is completely uncovered (0.0) because no annotation example is provided. The skipped sources include the full paper PDF (public:web:db9617613b11ebed7872f9a0c6ce138f8905936e74966d824c9fc28f319f812e), a summary that mentions atomic facts are 'short, context-independent factual statements' (public:web:cf6f815941904f069b57205309ac8ba8b157c1458481f68dd0b32ed188a0066a), and the official GitHub repository with implementation details (public:web:390986d1b2b786c585be9c752579c91ba4a03e9476180ac16b36af8b3aa33b19). All are free (price 0), so they fit within the remaining budget of 0.025. Buying these sources would likely provide the missing definition and an example annotation row, improving coverage for both sub-claims.

Re-evaluate

Public gap read unavailable (transport-unavailable); claim remains unknown.

Re-evaluate

Public gap read unavailable (html-extraction-unavailable); claim remains unknown.

Re-evaluate

READ original public page https://github.com/shmsw25/factscore, 0 USDC - S2

Sufficiency

Final check — "What is the atomic-fact evaluation unit as described in the …": 90% assessed by S1

Sufficiency

Final check — "What would a proposed annotation row for a research-agent an…": 30% assessed by S1, S2

Sufficiency

Final coverage assessment — S1 abstract explicitly defines atomic facts as breaking a generation into a series of atomic facts and computing the percentage supported by a reliable knowledge source. S2 confirms the package and mentions model-generated atomic facts, but no retrieved passage gives a concrete annotation row example. Therefore the first sub-claim is directly answered, while the second is only partially supported by the definition and lacks a proposed row format. The assessment does not establish a complete supported answer for every requested part.

Synthesize

Synthesizing a grounded answer from 2 source(s)…

Evidence

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

Evidence

Delivering 1 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 100% (estimate, not entailment): “In this paper, we introduce FACTSCORE, a new evaluation that breaks a generation into a series of atomic facts and computes the percentage o…”

Evidence

Source-matched public excerpt (no creator reward) — S2, research target 2, proposed support 40% (estimate, not entailment): “--use_atomic_facts: If specified, it uses model-generated atomic facts released as part of our data instead of running the atomic fact gener…”

Synthesize

Prepared a sentence-cited summary from 2 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 60% - free public reference; reward share withheld

Attribute

github.com contributed 40% - 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
7960573dd16b414c61e0ffbb16c2f881c13d8c886034960a98173c31224dba44

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
SKIP81
CACHE0
FREE5
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: 0 · Candidate rounds with continuing checks only: 0

CandidateRead roundModel proposedSelected planCheckpointCode resultReason / rule
680CACHECACHEselectionCONTINUEselected-plan
710CACHECACHEselectionCONTINUEselected-plan
10SKIPSKIPselectionSKIPplan-skip
20SKIPSKIPselectionSKIPplan-skip
30SKIPSKIPselectionSKIPplan-skip
40SKIPSKIPselectionSKIPplan-skip
50SKIPSKIPselectionSKIPplan-skip
60SKIPSKIPselectionSKIPplan-skip
70SKIPSKIPselectionSKIPplan-skip
80SKIPSKIPselectionSKIPplan-skip
90SKIPSKIPselectionSKIPplan-skip
100SKIPSKIPselectionSKIPplan-skip
110SKIPSKIPselectionSKIPplan-skip
120SKIPSKIPselectionSKIPplan-skip
130SKIPSKIPselectionSKIPplan-skip
140SKIPSKIPselectionSKIPplan-skip
150SKIPSKIPselectionSKIPplan-skip
160SKIPSKIPselectionSKIPplan-skip
170SKIPSKIPselectionSKIPplan-skip
180SKIPSKIPselectionSKIPplan-skip
190SKIPSKIPselectionSKIPplan-skip
200SKIPSKIPselectionSKIPplan-skip
210SKIPSKIPselectionSKIPplan-skip
220SKIPSKIPselectionSKIPplan-skip
230SKIPSKIPselectionSKIPplan-skip
240SKIPSKIPselectionSKIPplan-skip
250SKIPSKIPselectionSKIPplan-skip
260SKIPSKIPselectionSKIPplan-skip
270SKIPSKIPselectionSKIPplan-skip
280SKIPSKIPselectionSKIPplan-skip
290SKIPSKIPselectionSKIPplan-skip
300SKIPSKIPselectionSKIPplan-skip
310SKIPSKIPselectionSKIPplan-skip
320SKIPSKIPselectionSKIPplan-skip
330SKIPSKIPselectionSKIPplan-skip
340SKIPSKIPselectionSKIPplan-skip
350SKIPSKIPselectionSKIPplan-skip
360SKIPSKIPselectionSKIPplan-skip
370SKIPSKIPselectionSKIPplan-skip
380SKIPSKIPselectionSKIPplan-skip
390SKIPSKIPselectionSKIPplan-skip
400SKIPSKIPselectionSKIPplan-skip
410SKIPSKIPselectionSKIPplan-skip
420SKIPSKIPselectionSKIPplan-skip
430SKIPSKIPselectionSKIPplan-skip
440SKIPSKIPselectionSKIPplan-skip
450SKIPSKIPselectionSKIPplan-skip
460SKIPSKIPselectionSKIPplan-skip
470SKIPSKIPselectionSKIPplan-skip
480SKIPSKIPselectionSKIPplan-skip
490SKIPSKIPselectionSKIPplan-skip
500SKIPSKIPselectionSKIPplan-skip
510SKIPSKIPselectionSKIPplan-skip
520SKIPSKIPselectionSKIPplan-skip
530SKIPSKIPselectionSKIPplan-skip
540SKIPSKIPselectionSKIPplan-skip
550SKIPSKIPselectionSKIPplan-skip
560SKIPSKIPselectionSKIPplan-skip
570SKIPSKIPselectionSKIPplan-skip
580SKIPSKIPselectionSKIPplan-skip
590SKIPSKIPselectionSKIPplan-skip
600SKIPSKIPselectionSKIPplan-skip
610SKIPSKIPselectionSKIPplan-skip
620SKIPSKIPselectionSKIPplan-skip
630SKIPSKIPselectionSKIPplan-skip
640SKIPSKIPselectionSKIPplan-skip
650SKIPSKIPselectionSKIPplan-skip
660SKIPSKIPselectionSKIPplan-skip
670SKIPSKIPselectionSKIPplan-skip
690CACHESKIPselectionSKIPplan-skip
700SKIPSKIPselectionSKIPplan-skip
720SKIPSKIPselectionSKIPplan-skip
730CACHESKIPselectionSKIPplan-skip
740SKIPSKIPselectionSKIPplan-skip
750CACHESKIPselectionSKIPplan-skip
760SKIPSKIPselectionSKIPplan-skip
770CACHESKIPselectionSKIPplan-skip
780SKIPSKIPselectionSKIPplan-skip
790CACHESKIPselectionSKIPplan-skip
800SKIPSKIPselectionSKIPplan-skip
810CACHESKIPselectionSKIPplan-skip
820SKIPSKIPselectionSKIPplan-skip
830SKIPSKIPselectionSKIPplan-skip
840SKIPSKIPselectionSKIPplan-skip
850SKIPSKIPselectionSKIPplan-skip
860SKIPSKIPselectionSKIPplan-skip
680CACHECACHEduplicateCONTINUEduplicate
680CACHECACHEpublic-routeFREEpublic-channel
710CACHECACHEduplicateCONTINUEduplicate
710CACHECACHEpublic-routeFREEpublic-channel
Run context0——expansionCONTINUEexpansion
Run context1——attentionCONTINUEattention
Run context1——recommendationCONTINUEengine-recommendation
Run context1——recommendationCONTINUEengine-recommendation
811BUYSKIPduplicateCONTINUEduplicate
811BUYSKIPdiscussionCONTINUEdiscussion
811BUYSKIPattentionCONTINUEattention
811BUYSKIPpublic-routeFREEpublic-channel
791BUYSKIPduplicateCONTINUEduplicate
791BUYSKIPdiscussionCONTINUEdiscussion
791BUYSKIPattentionCONTINUEattention
791BUYSKIPpublic-routeFREEpublic-channel
731BUYSKIPduplicateCONTINUEduplicate
731BUYSKIPdiscussionCONTINUEdiscussion
731BUYSKIPattentionCONTINUEattention
731BUYSKIPpublic-routeFREEpublic-channel

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.

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/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
From https://github.com/tang-vu/keryx/blob/main/docs/engineering/2026-09-08-citation-rewards.md, write a creator FAQ distinguishing paying to read a source from a reward for a qualifying citation. Cite only material actually retrieved; keep unread sources and unsupported points explicit. Do not force a purchase or a reward.
1 source cited$0.0270 recorded creator rewards
Dispatch
From https://github.com/tang-vu/keryx/blob/main/docs/engineering/2026-09-08-buyer-recovery.md, prepare an operator checklist for a paid research request whose HTTP response was lost: what must be retained and how should the existing job be recovered? Cite only material actually retrieved; keep unread sources and unsupported points explicit. Do not force a purchase or a reward.
1 source cited$0.0270 recorded creator rewards
Dispatch
I am an India-based startup analyst evaluating paid research reliability. Read the verified, registered Keryx Engineering (first-party) article "Recovering a Keryx paid research job" at https://github.com/tang-vu/keryx/blob/main/docs/engineering/2026-09-08-buyer-recovery.md. Give a concise English buyer note explaining what the documented resume command does after a connection failure, whether resume signs or replays a new purchase, and why deleting the journal and buying again can risk a second debit. Cite the actual article and identify its documented revision and first-party status. Use the eligible registered source within 0.05 USDC for access and citation rewards. Disclose access and citation payments separately in the receipt; do not actually purchase a second research package as part of this question.
1 source cited$0.0020 recorded creator rewards