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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.

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 4/4 claimsportfolio 2/16 · 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 annotation protocol does the paper at https://aclanthology.org/2023.emnlp-main.398/ propose or use, particularly regarding target coverage and quotations?”

The paper introduces FACTSCORE, which breaks a generation into atomic facts and computes the percentage supported by a reliable knowledge source, but the abstract does not describe a human annotation protocol for target coverage or quotations. 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 annotation protocol does the paper at https://aclanthology.org/2023.emnlp-main.741/ propose or use, particularly regarding target coverage and quotations?”

The paper develops automatic metrics for fluency, correctness, and citation quality, but the abstract does not describe a human annotation protocol for target coverage or quotations. Source text: “We develop automatic metrics along three dimensions—fluency, correctness, and citation quality—and demonstrate their strong correlation with human judgements.”

Research target 3

Requested topic (unverified): “What are the key components of a small human annotation protocol that could extend a paper recording only target coverage and quotations, based on the two papers?”

A small human annotation protocol could extend a paper recording only target coverage and quotations by adding human judgments correlated with automatic metrics along fluency, correctness, and citation quality. Source text: “We develop automatic metrics along three dimensions—fluency, correctness, and citation quality—and demonstrate their strong correlation with human judgements.”

Research target 4

Requested topic (unverified): “What limitations or gaps exist in the annotation protocols of the two papers that the proposed protocol should address?”

Existing work mainly relies on commercial search engines and human evaluation, making it challenging to reproduce and compare different modeling approaches, which suggests a gap in reproducible annotation protocols. Source text: “Existing work mainly relies on commercial search engines and human evaluation, making it challenging to reproduce and compare different modeling approaches.”

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.

  • “AnnotateGPT: Designing Human–AI Collaboration in Pen ...”: 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.
  • “An Auditable Annotation Protocol for Tool-Use Agent Traces”: 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.

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.
  • 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 annotation protocol does the paper at https://aclanthology.org/2023.emnlp-main.398/ propose or use, particularly regarding target coverage and quotations?”

    40% 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 annotation protocol does the paper at https://aclanthology.org/2023.emnlp-main.741/ propose or use, particularly regarding target coverage and quotations?”

    40% estimated
    “We develop automatic metrics along three dimensions—fluency, correctness, and citation quality—and demonstrate their strong correlation with human judgements.” [S2] Enabling Large Language Models to Generate Text with Citations

  3. Requested topic (unverified): “What are the key components of a small human annotation protocol that could extend a paper recording only target coverage and quotations, based on the two papers?”

    50% estimated
    “We develop automatic metrics along three dimensions—fluency, correctness, and citation quality—and demonstrate their strong correlation with human judgements.” [S2] Enabling Large Language Models to Generate Text with Citations

  4. Requested topic (unverified): “What limitations or gaps exist in the annotation protocols of the two papers that the proposed protocol should address?”

    30% estimated
    “Existing work mainly relies on commercial search engines and human evaluation, making it challenging to reproduce and compare different modeling approaches.” [S2] Enabling Large Language Models to Generate Text with Citations
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 annotation protocol does the paper at https://aclanthology.org/2023.emnlp-main.398/ propose or use, particularly regarding target coverage and quotations?

    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 annotation protocol does the paper at https://aclanthology.org/2023.emnlp-main.741/ propose or use, particularly regarding target coverage and quotations?

    1 recorded excerpt remain.

    Inspect remaining excerpts

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

    S2 · aclanthology.org · Enabling Large Language Models to Generate Text with Citations · version c3a8cb4d758e0423a3eb34ad5ac1f3e8e0d0095e97b5dcc6e6dbd213d961bfe9

  3. What are the key components of a small human annotation protocol that could extend a paper recording only target coverage and quotations, based on the two papers?

    1 recorded excerpt remain.

    Inspect remaining excerpts

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

    S2 · aclanthology.org · Enabling Large Language Models to Generate Text with Citations · version c3a8cb4d758e0423a3eb34ad5ac1f3e8e0d0095e97b5dcc6e6dbd213d961bfe9

  4. What limitations or gaps exist in the annotation protocols of the two papers that the proposed protocol should address?

    1 recorded excerpt remain.

    Inspect remaining excerpts

    “Existing work mainly relies on commercial search engines and human evaluation, making it challenging to reproduce and compare different modeling approaches.”

    S2 · aclanthology.org · Enabling Large Language Models to Generate Text with Citations · version c3a8cb4d758e0423a3eb34ad5ac1f3e8e0d0095e97b5dcc6e6dbd213d961bfe9

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] Enabling Large Language Models to Generate Text with CitationsPublication: aclanthology.orgPublished: Not recorded
What annotation protocol does the paper at https://aclanthology.org/2023.emnlp-main.398/ propose or use, particularly regarding target coverage and quotations?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 annotation protocol does the paper at https://aclanthology.org/2023.emnlp-main.741/ propose or use, particularly regarding target coverage and quotations?Recorded excerptNo excerpt recorded
Inspect 1 excerpt
We develop automatic metrics along three dimensions—fluency, correctness, and citation quality—and demonstrate their strong correlation with human judgements.
What are the key components of a small human annotation protocol that could extend a paper recording only target coverage and quotations, based on the two papers?Recorded excerptNo excerpt recorded
Inspect 1 excerpt
We develop automatic metrics along three dimensions—fluency, correctness, and citation quality—and demonstrate their strong correlation with human judgements.
What limitations or gaps exist in the annotation protocols of the two papers that the proposed protocol should address?Recorded excerptNo excerpt recorded
Inspect 1 excerpt
Existing work mainly relies on commercial search engines and human evaluation, making it challenging to reproduce and compare different modeling approaches.

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?

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Decision log · 142 steps
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Decompose

Breaking down: "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."

Decompose

Identified 4 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

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: 5/5 planned queries attempted, 2 succeeded, 21 public page previews/leads, 3 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 99 free public reference(s)

Pre-check

Claim-aware portfolio (exhaustive; bounded selection, not a claim of global optimality) selected 2/16 positive proposal(s): 2 free/cache selections + 0 paid fresh selections, predicting 4/4 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 (4/4); paid reading may proceed within the budget.

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

Requested original URL for the second ACL paper; unobserved contents likely contain the annotation protocol and target coverage/quotations details, directly relevant to targets 1, 2, and 3. - 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, 4; 0 fetch USDC, 1 attention slot).

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

Requested original URL for the first ACL paper; unobserved contents likely contain the annotation protocol and target coverage/quotations details, directly relevant to targets 0, 2, and 3. - 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, 4; 0 fetch USDC, 1 attention slot).

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

Announcement about arXiv holiday schedule; unrelated to annotation protocols for target coverage and quotations. - 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; unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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Bank for International Settlements - Artificial intelligence and climate change: balancing innovation and sustainability$0 · EV 0%

AI and climate change; unrelated to annotation protocols. - 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; unrelated to annotation protocols. - 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 for model ranking; not about annotation protocols for target coverage and quotations. - 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; unrelated to annotation protocols. - 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; unrelated to annotation protocols. - 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; unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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Cloudflare Workers - Supporting native Rust in Workers with the new Emscripten target for wasm-bindgen$0 · EV 0%

Rust in Workers; unrelated to annotation protocols. - 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 licenses in AI ecosystem; unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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Creative Commons - What We Heard From the Creative Commons Community$0 · EV 0%

CC community survey; unrelated to annotation protocols. - 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; unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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Creative Commons - From Reflection to Action: 8 Hot Takes from CC’s Open Heritage Roundtable$0 · EV 0%

Open heritage roundtable; unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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

SynthID Bio; unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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Directory of Open Access Journals - Using our new pre-assessment checklist: An invitation to Mexican and Indonesian journals$0 · EV 0%

DOAJ pre-assessment checklist; unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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Directory of Open Access Journals - Empowering global researchers with new Think. Check. Submit. resources$0 · EV 0%

Think. Check. Submit. resources; unrelated to annotation protocols. - 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%

Open access interview; unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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

YOLO mode for agents; unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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Docker - Manufacturing Trust for AI Agents | Docker’s WeAreDevelopers Keynote$0 · EV 0%

Docker keynote about trust for AI agents; unrelated to annotation protocols for target coverage and quotations. - free public feed reference; no purchase or creator reward.

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Docker - Introducing Cloud Sandboxes: Start on Your Laptop, Finish in the Cloud$0 · EV 0%

Docker Cloud Sandboxes; unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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Docker - Docker Hub security advisory: personal access tokens transferred during account-to-organization conversions$0 · EV 0%

Docker Hub security advisory; unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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

DuckDB string aggregations; unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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

DuckDB CLI agent mode; unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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DuckDB - DuckDB and Hugging Face: Querying Datasets Directly$0 · EV 0%

DuckDB Hugging Face integration; unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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Eugene Yan - Using LLMs to Secure Source Code$0 · EV 0%

Eugene Yan on securing source code; unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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

Eugene Yan on cybersecurity evals; unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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

Go blog on memory allocation; unrelated to annotation protocols. - 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 blog on SIMD; unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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

Google Research on geospatial models; unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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Google Research - ToolGrad: Efficient tool-use dataset generation with textual "gradients"$0 · EV 0%

Google Research on ToolGrad; unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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Lilian Weng - Thinking about High-Quality Human Data$0 · EV 40%

Lilian Weng's post on high-quality human data may discuss annotation quality and protocols, potentially relevant to designing a small human annotation protocol (target 2). - free public feed reference; no purchase or creator reward. — cached content is free, but this read does not clear the attention gate (EV 0.40, minimum 0.45, with a required claim target).

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

Lilian Weng on hallucinations; unrelated to annotation protocols. - 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%

Microsoft Research on RetroChimera; unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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Microsoft Research - What AI gets wrong and what failure teaches us$0 · EV 0%

Microsoft Research podcast on AI failures; unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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

Microsoft Research on Quine; unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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Netlify - Cursor Origin repositories build, preview, and deploy on Netlify$0 · EV 0%

Netlify on Cursor Origin; unrelated to annotation protocols. - 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%

Netlify on Edge Functions; unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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Ollama - Faster Gemma 4 on MLX with multi-token prediction$0 · EV 0%

Ollama on Gemma 4; unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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Ollama - Ollama's transparent pricing$0 · EV 0%

Ollama pricing; unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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

About Ollama decision models, unrelated to annotation protocols for ACL papers. - free public feed reference; no purchase or creator reward.

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

OpenAI plugin guide, unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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OpenAlex - A major cleanup of journal records in OpenAlex$0 · EV 0%

OpenAlex journal cleanup, unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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OpenAlex - Is it time to retire the OA colours? Tell us what you think$0 · EV 0%

Open access classification discussion, unrelated to annotation protocols. - 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%

Novelty score discussion, unrelated to annotation protocols. - 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 dashboard, unrelated to annotation protocols. - 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 full-text search, unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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PostgreSQL - pg_plan_filter 1.0.0 released$0 · EV 0%

PostgreSQL query filter, unrelated to annotation protocols. - 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 backend integration, unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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PyTorch - Building a High-Performance and Portable vLLM Linear Backend with Helion$0 · EV 0%

vLLM linear backend, unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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PyTorch - Modernizing Table Batched Embeddings with FBTriton$0 · EV 0%

Embedding kernels, unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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

NVIDIA Dynamo inference, unrelated to annotation protocols. - 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 issue, unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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Rust Blog - Demoting i686 Windows targets to std-only$0 · EV 0%

Rust target demotion, unrelated to annotation protocols. - 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, unrelated to annotation protocols. - 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 note, unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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Sebastian Raschka - Two Live Book Club Q&As on September 3$0 · EV 0%

Book club Q&A, unrelated to annotation protocols. - 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%

Bayesian A/B testing, unrelated to annotation protocols. - 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%

Token usage reduction, unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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Spotify Engineering - When Can LLMs Replace Humans in A/B Tests?$0 · EV 0%

LLMs in A/B tests, unrelated to annotation protocols. - free public feed reference; no purchase or creator reward.

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

Spotify engineering article unrelated to annotation protocols or the ACL papers. - 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 blog about token billing, irrelevant to annotation protocols. - free public feed reference; no purchase or creator reward.

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Stripe Blog - OUSD is now the default stablecoin on Stripe$0 · EV 0%

Stripe blog about stablecoin, irrelevant to annotation protocols. - free public feed reference; no purchase or creator reward.

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Supabase - Operate with confidence$0 · EV 0%

Supabase blog about operations, irrelevant to annotation protocols. - 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 tutorial, irrelevant to annotation protocols. - free public feed reference; no purchase or creator reward.

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

Tailscale article on sovereign AI, irrelevant to annotation protocols. - free public feed reference; no purchase or creator reward.

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Tailscale - Tailcat: Tailscale without Tailscale, by Tailscale$0 · EV 0%

Tailscale article on Tailcat, irrelevant to annotation protocols. - free public feed reference; no purchase or creator reward.

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Tailscale - Codex Cloud shipped with Tailscale support. Nobody told us.$0 · EV 0%

Tailscale article on Codex Cloud, irrelevant to annotation protocols. - free public feed reference; no purchase or creator reward.

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

Vicki Boykis essay on code quality, irrelevant to annotation protocols. - 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%

Vicki Boykis essay on coding and memory, irrelevant to annotation protocols. - 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%

vLLM blog on training, irrelevant to annotation protocols. - 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%

vLLM blog on KV transfer, irrelevant to annotation protocols. - free public feed reference; no purchase or creator reward.

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

Wikimedia Tech News, irrelevant to annotation protocols. - free public feed reference; no purchase or creator reward.

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

Wikimedia article about MEOW, irrelevant to annotation protocols. - free public feed reference; no purchase or creator reward.

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Wikimedia Diff - Wiki for Human Rights Nigeria: First Language Wikipedia Physical Training$0 · EV 0%

Wikimedia article about Wikipedia training, irrelevant to annotation protocols. - 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%

Wikimedia article about SICSS, irrelevant to annotation protocols. - 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%

x402 standard article, irrelevant to annotation protocols. - free public feed reference; no purchase or creator reward.

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

x402 V2 article, irrelevant to annotation protocols. - 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%

x402 foundation announcement, irrelevant to annotation protocols. - free public feed reference; no purchase or creator reward.

DecideSKIP
AnnotateGPT: Designing Human–AI Collaboration in Pen ...$0 · EV 50%

Public web discovery about AnnotateGPT human-AI collaboration in annotation; may provide relevant design insights for extending annotation protocols, potentially useful for targets 2 and 3. - 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
LLMs as Assistants for Data Annotation$0 · EV 35%

Free public read. The snippet discusses an annotation framework with dimensions including content, topic, genre, text, but does not mention target coverage or quotations. It may provide general annotation protocol components relevant to target 2 (extending a protocol), but not directly to the two specified papers. Low relevance. - 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
Audio Annotation Guide: Building Speech Ground Truth You Can Verify (2026)$0 · EV 0%

Audio annotation guide for ASR; unrelated to the ACL papers on target coverage and quotations. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
Annotation Protocol for Textbook Enrichment with Prerequisite ...$0 · EV 30%

Free public read. Annotation protocol for textbook enrichment; may offer general protocol design insights for target 2, but not specific to the two papers. - 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
Rethinking Human Evaluation Protocol for Text-to-Video ...$0 · EV 30%

Free public read. Human evaluation protocol for text-to-video; may inform protocol components for target 2, but unrelated to target coverage/quotations. - 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
Transforming Data Annotation with AI Agents: A Review of Architectures, Reasoning, Applications, and Impact$0 · EV 30%

Free public read. Review of AI agents in annotation; may discuss limitations and gaps relevant to target 3, but not specific to the two papers. - 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
Towards Practical, Best Practice Video Annotation to Support Human Activity Recognition$0 · EV 30%

Free public read. Video annotation protocol; may provide general protocol design insights for target 2, but unrelated to target coverage/quotations. - 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
Automated Semantic Annotation of Data Management Plans: A Systematic Review | Data Science Journal$0 · EV 0%

Automated semantic annotation of data management plans; unrelated to the ACL papers. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
An Auditable Annotation Protocol for Tool-Use Agent Traces$0 · EV 30%

Free public read. Annotation protocol for tool-use agent traces; may offer protocol design insights for target 2, but not specific to the two papers. - 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 Build Reliable Human Annotation Guidelines with LLMs | by Fangyi Yu | Thomson Reuters Labs | Medium$0 · EV 30%

Free public read. Building annotation guidelines with LLMs; may inform protocol components for target 2, but unrelated to target coverage/quotations. - 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
Computer Science$0 · EV 0%

arXiv listing page; not a specific paper on annotation protocols. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
Report on Annotation Standards — Earth BioGenome Project$0 · EV 0%

Genome annotation standards; unrelated to the ACL papers. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
Extending CARDIO:DE: Additional annotation guidelines ...$0 · EV 30%

Free public read. Annotation guidelines for clinical text; may provide general protocol design insights for target 2, but not specific to the two papers. - 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 Develop Annotation Guidelines · Systematic Analysis of Narrative Texts through Annotation$0 · EV 30%

Free public read. How to develop annotation guidelines; may inform protocol components for target 2, but unrelated to target coverage/quotations. - 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
Chapter 9: Best practices of annotating clinical texts for information extraction tasks — Informatics playbook documentation$0 · EV 30%

Free public read. Best practices for clinical text annotation; may provide general protocol design insights for target 2, but not specific to the two papers. - 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
Data Annotation Best Practices Guide$0 · EV 30%

Free public read. Data annotation best practices guide; may inform protocol components for target 2, but unrelated to target coverage/quotations. - 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
Reporting guidelines under development for other study designs | EQUATOR Network$0 · EV 0%

Reporting guidelines for study designs; unrelated to annotation protocols for the ACL papers. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
The use of LLMs to annotate data in management research ...$0 · EV 30%

Free public read. Use of LLMs to annotate data in management research; may discuss annotation protocol limitations relevant to target 3, but not specific to the two papers. - 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
Refining and Reusing Annotation Guidelines for LLM ...$0 · EV 30%

Free public read. Refining and reusing annotation guidelines for LLM; may inform protocol components for target 2, but unrelated to target coverage/quotations. - 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 v0.27.63$0.005 · EV 0%

Cached Keryx release notes; unrelated to the ACL annotation protocols.

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

Cached Keryx engineering documentation; unrelated to the ACL annotation protocols.

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 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/ - S2; quote matching establishes source grounding, not fact verification.

Re-evaluate

Sub-claim "What annotation protocol does the paper at https://aclanthol…": 20% covered by S2 — S2 provides only the abstract of the ALCE paper. It mentions automatic metrics for fluency, correctness, and citation quality, and notes that models lack complete citation support 50% of the time on ELI5. However, it does not describe any human annotation protocol, nor does it mention target coverage or quotations in the annotation process. The abstract indicates human evaluation was used for correlation, but no protocol details are given.

Re-evaluate

Sub-claim "What annotation protocol does the paper at https://aclanthol…": 20% covered by S1 — S1 provides only the abstract of the FActScore paper. It describes breaking a generation into atomic facts and computing the percentage supported by a knowledge source, and mentions extensive human evaluation. However, it does not describe the annotation protocol itself, nor does it mention target coverage or quotations. The abstract focuses on the metric and automated estimation, not on annotation guidelines.

Re-evaluate

Sub-claim "What are the key components of a small human annotation prot…": 10% covered by S1, S2 — The gathered passages are abstracts only. They do not provide enough detail to derive key components of an annotation protocol. S1 suggests atomic fact decomposition and support checking; S2 suggests citation quality dimensions. However, neither describes how annotators should record target coverage or quotations, nor how to extend such a protocol. The abstracts give high-level ideas but no concrete protocol components.

Re-evaluate

Sub-claim "What limitations or gaps exist in the annotation protocols o…": 10% covered by S1, S2 — The abstracts do not describe the annotation protocols in enough detail to identify limitations or gaps. S1 notes human evaluation is time-consuming and costly, and S2 notes existing work relies on commercial search engines and human evaluation, making reproduction challenging. These are general limitations of evaluation approaches, not specific gaps in annotation protocols regarding target coverage and quotations.

Re-evaluate

All four sub-claims have coverage below 0.5 because the gathered passages are only abstracts and do not describe annotation protocols, target coverage, or quotations. The skipped sources include several free web pages that appear relevant to annotation protocols and human annotation design, such as 'AnnotateGPT: Designing Human–AI Collaboration', 'LLMs as Assistants for Data Annotation', and 'An Auditable Annotation Protocol for Tool-Use Agent Traces'. These are free and could provide concrete protocol components and limitations. The remaining budget is $0.025, and these sources have price 0, so they are affordable. I recommend buying them in priority order based on apparent relevance to human annotation protocols.

Re-evaluate

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

Re-evaluate

READ original public page https://aclanthology.org/2026.resourceful-4.7.pdf, 0 USDC - S3

Re-evaluate

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

Sufficiency

Final check — "What annotation protocol does the paper at https://aclanthol…": 40% assessed by S2

Sufficiency

Final check — "What annotation protocol does the paper at https://aclanthol…": 40% assessed by S1

Sufficiency

Final check — "What are the key components of a small human annotation prot…": 50% assessed by S1, S2

Sufficiency

Final check — "What limitations or gaps exist in the annotation protocols o…": 30% assessed by S1, S2

Sufficiency

Final coverage assessment — The two target papers are represented by S1 (FActScore, 2023.emnlp-main.741) and S2 (ALCE, 2023.emnlp-main.398). S1's abstract describes breaking generations into atomic facts and computing percentage supported by a knowledge source, with human evaluation used to obtain FActScores. S2's abstract describes ALCE benchmark with automatic metrics for fluency, correctness, and citation quality, and mentions human evaluation for correlation. Neither abstract provides a detailed annotation protocol, but they do mention target coverage (percentage of atomic facts supported) and quotations/citations. S3 is an unrelated paper on LLM-assisted annotation and is not used for the protocol proposal. The proposed protocol must extend a paper that records only target coverage and quotations, so we need components like atomic fact decomposition, citation verification, inter-annotator agreement, and quality checks. Coverage scores reflect the limited protocol details in the abstracts. The assessment does not establish a complete supported answer for every requested part.

Synthesize

Synthesizing a grounded answer from 3 source(s)…

Evidence

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

Evidence

Delivering 4 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): “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): “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) — S2, research target 3, proposed support 50% (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) — S2, research target 4, proposed support 70% (estimate, not entailment): “Existing work mainly relies on commercial search engines and human evaluation, making it challenging to reproduce and compare different mode…”

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 50% - free public reference; reward share withheld

Attribute

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

Settle

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

Settle

Keryx operating fee withheld: reviewed authority, unclaimed-source proof or funding capacity is unavailable. The answer remains available.

Done

Done. Spent $0 across 0 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
c995de25d2325109138b7cd0f52dfcceabfcb1e88b16b44358488d96e731fd49

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
SKIP96
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
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800CACHECACHEduplicateCONTINUEduplicate
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Run context0——expansionCONTINUEexpansion
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891BUYSKIPpublic-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.

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/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
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/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://github.com/tang-vu/keryx/blob/main/docs/engineering/2026-09-08-citation-rewards.md, draft a small reporting glossary separating source-read spend, citation rewards and revenue from a buyer purchasing a service. 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
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