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Paper Citation Record · LEDGER

RARR: Researching and Revising What Language Models Say, Using Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2210.08726.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2210.08726 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:11:00.229720Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

13
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2e4b9688-e165-475c-b58b-0730e5baaa36 · inbound

Galactica: A Large Language Model for Science cites this paper.

Galactica: A Large Language Model for Science RARR: Researching and Revising What Language Models Say, Using Language Models

Reference 97

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arxiv_id, observed 2026-05-13T05:53:22.032414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-13T05:53:21.810346Z digest=sha256:711a4773621ee54aa4acdec38bfcf0176c16b327f52ea9bb1932af0a65f11a18

Observation ccfb1027-0aaf-40a8-a067-e45c2b14136d · inbound

Galactica: A Large Language Model for Science cites this paper.

Galactica: A Large Language Model for Science RARR: Researching and Revising What Language Models Say, Using Language Models

Reference 163

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arxiv_id, observed 2026-05-13T05:53:22.138398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-13T05:53:21.810346Z digest=sha256:4e2cdbf4c3b4e6c74bd7b2e42d176e8529e0cf162f618bf635ada36bebbeb846

Observation bfbcf1f5-3f93-4d96-956c-26ec11919194 · inbound

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning cites this paper.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning RARR: Researching and Revising What Language Models Say, Using Language Models

Reference 15

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arxiv_id, observed 2026-05-24T09:14:16.490462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-24T09:13:30.054153Z digest=sha256:fb33dab979b43cd73f3ff04af425d70e88faf2e58217375084da9917e3c5d278

Observation e6144632-da99-4bce-b166-681d4f237c6e · inbound

Challenges in Guardrailing Large Language Models for Science cites this paper.

Challenges in Guardrailing Large Language Models for Science RARR: Researching and Revising What Language Models Say, Using Language Models

Reference 85

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no resolver link, observed 2026-08-12T21:54:44.327647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:54:44.327647Z digest=sha256:bbb58375b5bb0046d43c3f13619e914ccfc1bc4053d578356c4f397315f41a8f

Observation f43c40aa-3039-4a66-beac-a64ad2812eaf · inbound

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs cites this paper.

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs RARR: Researching and Revising What Language Models Say, Using Language Models

Reference 12

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no resolver link, observed 2026-08-12T10:30:28.805725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:30:28.805725Z digest=sha256:239fb4b5cf28590edaf6a4778e3b20636787158ef07336afd03de1fdea2c825b

Observation 7f6a5829-05d1-42fa-bf90-a25a72819077 · inbound

RAG Playground: A Framework for Systematic Evaluation of Retrieval Strategies and Prompt Engineering in RAG Systems cites this paper.

RAG Playground: A Framework for Systematic Evaluation of Retrieval Strategies and Prompt Engineering in RAG Systems RARR: Researching and Revising What Language Models Say, Using Language Models

Reference 4

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no resolver link, observed 2026-08-11T14:15:59.442320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:15:59.442320Z digest=sha256:262e4286565f5c8b31fff7d3b635ee76aaeba046e43dcd8f4624bf101b735bb3

Observation 6ee75b6c-1a49-4652-8cc6-e975f3821757 · inbound

HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases cites this paper.

HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases RARR: Researching and Revising What Language Models Say, Using Language Models

Reference 2022

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no resolver link, observed 2026-08-11T10:46:47.566769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:46:47.566769Z digest=sha256:05a23a1abb1663dd330e7d0d47c9e53d6f90de1bddf8c8c1af1ac630b356fbc6

Observation 5edc76d1-34e7-4549-ad06-c1124b342290 · inbound

Entailed Between the Lines: Incorporating Implication into NLI cites this paper.

Entailed Between the Lines: Incorporating Implication into NLI RARR: Researching and Revising What Language Models Say, Using Language Models

Reference 8

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no resolver link, observed 2026-08-10T20:41:35.717909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:41:35.717909Z digest=sha256:7561bbd66467a41f5283fbebd671905159722899954d329f3de63d8660af836f

Observation 96e0df4a-bc57-477d-b388-bcb0f34402be · inbound

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy cites this paper.

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy RARR: Researching and Revising What Language Models Say, Using Language Models

Reference 64

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no resolver link, observed 2026-08-10T20:05:12.172536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:05:12.172536Z digest=sha256:f8a5d728886d3623e729dc93b7312d8579a99182c8cdd46b0b933dd3e71c8ee3

Observation 186ad34e-d18a-4c71-a60a-72c58cc77117 · inbound

Fanar: An Arabic-Centric Multimodal Generative AI Platform cites this paper.

Fanar: An Arabic-Centric Multimodal Generative AI Platform RARR: Researching and Revising What Language Models Say, Using Language Models

Reference 7

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no resolver link, observed 2026-08-10T19:05:53.636988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:05:53.636988Z digest=sha256:5f01f62731f3de72cc5e14e9cd1df01e3eb4722529e031b7a98d65fbd28a123d

Observation 51f64367-981e-4fae-a793-c797a1c422f9 · inbound

LIMO: Less is More for Reasoning cites this paper.

LIMO: Less is More for Reasoning RARR: Researching and Revising What Language Models Say, Using Language Models

Reference 128

Resolution
verified exact
arxiv_id, observed 2026-05-17T02:11:37.539508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-17T02:11:36.932541Z digest=sha256:12c00507cfa316e5a877be45ba02170ad0547ab61f754310c41c3da7fe46966a

Observation ab7d608e-2a07-474c-ac2b-dd61b7486713 · inbound

SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models cites this paper.

SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models RARR: Researching and Revising What Language Models Say, Using Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T20:57:07.587117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:57:07.587117Z digest=sha256:5c810e3373442ceb0949a374c8f6b962fe9764e4705e12dd1cdcd010a490f9d4

Observation 014ee5a4-8988-4f39-a547-dbebbfee2707 · inbound

ZeroSearch: Incentivize the Search Capability of LLMs without Searching cites this paper.

ZeroSearch: Incentivize the Search Capability of LLMs without Searching RARR: Researching and Revising What Language Models Say, Using Language Models

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-17T17:44:13.382526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-17T17:44:13.310155Z digest=sha256:65e40ff02990ffece4126d7fe3024d20df46a521f3203202a8574435172aad00

Observation 118043ca-bc29-4d0d-a07e-4ca7552b19c4 · inbound

ZeroSearch: Incentivize the Search Capability of LLMs without Searching cites this paper.

ZeroSearch: Incentivize the Search Capability of LLMs without Searching RARR: Researching and Revising What Language Models Say, Using Language Models

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-22T16:06:46.036250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-22T16:05:04.715678Z digest=sha256:819a30ecf04cb19c4016acb87df80b6ede05524a3116b766587fb5456cd8691b

Observation ac5c868c-1b68-475c-ae10-d71076ccd14e · inbound

On the Merits of LLM-Based Corpus Enrichment cites this paper.

On the Merits of LLM-Based Corpus Enrichment RARR: Researching and Revising What Language Models Say, Using Language Models

Reference 21

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no resolver link, observed 2026-08-07T06:06:35.998452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:06:35.998452Z digest=sha256:2f20eec92c39620386b7ad752e837eeec58404b2fab3979a25c43a9d9d2ac0ef

Observation 5de6cffd-9ebf-401e-92c1-3372ad60c9b0 · inbound

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs cites this paper.

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs RARR: Researching and Revising What Language Models Say, Using Language Models

Reference 160

Resolution
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no resolver link, observed 2026-08-07T10:17:27.083752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:17:27.083752Z digest=sha256:91f059d78239f4499bf630b4ee9496b0f2a1e8f270f7d34a9b0bc6d1009282d3

Observation 1b9101ef-605d-406c-bbfa-0c155a83c7c2 · inbound

TokenShapley: Token Level Context Attribution with Shapley Value cites this paper.

TokenShapley: Token Level Context Attribution with Shapley Value RARR: Researching and Revising What Language Models Say, Using Language Models

Reference 11

Resolution
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no resolver link, observed 2026-08-06T23:53:18.199796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:53:18.199796Z digest=sha256:8745f8ab1d8731c63fa5ac3583d6ca38d9ad23d7e6e1cc1dd924c406deb149cb

Observation 203ce50a-051b-4620-9a07-382191bbfa13 · inbound

Can External Validation Tools Improve Annotation Quality for LLM-as-a-Judge? cites this paper.

Can External Validation Tools Improve Annotation Quality for LLM-as-a-Judge? RARR: Researching and Revising What Language Models Say, Using Language Models

Reference 11

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no resolver link, observed 2026-08-06T15:02:21.701968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:02:21.701968Z digest=sha256:84aa697bd990daef4abb7302071895a89450d1b176252b5fc4b549023f1d0007

Observation 805b5789-1a70-4d85-b745-e34ffbeffc53 · inbound

Uncertainty-Aware Web-Conditioned Scientific Fact-Checking cites this paper.

Uncertainty-Aware Web-Conditioned Scientific Fact-Checking RARR: Researching and Revising What Language Models Say, Using Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:56:03.203477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T16:23:17.293800Z digest=sha256:816cd83deccd2d6a59ae0508cbe0c057881be77aaea48c93608c395deb140452

Observation ff47918f-709e-4767-baae-f9a27190bf78 · inbound

HalluScan: A Systematic Benchmark for Detecting and Mitigating Hallucinations in Instruction-Following LLMs cites this paper.

HalluScan: A Systematic Benchmark for Detecting and Mitigating Hallucinations in Instruction-Following LLMs RARR: Researching and Revising What Language Models Say, Using Language Models

Reference 17

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verified exact
arxiv_id, observed 2026-05-25T06:50:28.084415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-25T06:49:16.755597Z digest=sha256:906f3326463c8c91a1d92d022d9a81e41b051255a5e34fd0a9344f9815f6e4df

Observation 2151308a-aea9-48b4-95d3-eccef7cd9129 · inbound

AI Assistance for Human Review of Default Judgments cites this paper.

AI Assistance for Human Review of Default Judgments RARR: Researching and Revising What Language Models Say, Using Language Models

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:19:12.721930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-07-04T00:16:26.404880Z digest=sha256:a9b5bf049ec79e42f354582252520346fe756c3a5a60e90f5da227ec0ee9285c

Observation 93ee5b2e-b8dd-4f05-bd71-f175c11ac3c0 · inbound

Do You Need a Frontier Model as a Citation Verifier? Benchmarking Rubric LLMs for Deep-Research Source Attribution cites this paper.

Do You Need a Frontier Model as a Citation Verifier? Benchmarking Rubric LLMs for Deep-Research Source Attribution RARR: Researching and Revising What Language Models Say, Using Language Models

Reference 29

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T02:56:43.489338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-07-10T02:51:46.641192Z digest=sha256:9feff10857f3990cc6f5feff78e60a0f35eab322b6757ef5eed595dc15d33922

Observation 586a4146-f38b-486c-b89f-2d8a9053c1a7 · inbound

Deceptive Grounding: Entity Attribution Failure in Clinical Retrieval-Augmented Generation cites this paper.

Deceptive Grounding: Entity Attribution Failure in Clinical Retrieval-Augmented Generation RARR: Researching and Revising What Language Models Say, Using Language Models

Reference 9

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no resolver link, observed 2026-07-13T03:42:52.628930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T03:42:52.628930Z digest=sha256:bbc11d17175c2614226aeb82a80413087c79c606a6cf62ae34fdef9c1a932bac

Observation 5b388f33-e9b8-4264-b6c9-b20fe9d87ccf · inbound

ConsistencyGate: Preventing Memory Contamination in LLM Agents via Self-Consistency Admission Control cites this paper.

ConsistencyGate: Preventing Memory Contamination in LLM Agents via Self-Consistency Admission Control RARR: Researching and Revising What Language Models Say, Using Language Models

Reference 31

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no resolver link, observed 2026-08-01T04:05:37.570933Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T04:05:37.570933Z digest=sha256:0363a234ef5e937055748dd39c871d0a495d02fc5c83d84d90d2340a702ecd3a

Observation 7ed8e8aa-22b2-4bbb-bb86-2363f68fcf02 · inbound

The Cost of Knowing: A Resource-Aware Protocol for Benchmarking Hallucination Beyond Static Leaderboards cites this paper.

The Cost of Knowing: A Resource-Aware Protocol for Benchmarking Hallucination Beyond Static Leaderboards RARR: Researching and Revising What Language Models Say, Using Language Models

Reference 17

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no resolver link, observed 2026-07-31T23:11:42.079340Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:11:42.079340Z digest=sha256:d940d022504619ff40316cf0990d819d0a0fb738ddb71767f5dfcb67fe568b27

Observation e29ba290-4904-4f62-b87d-e94f26302cea · inbound

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges cites this paper.

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges RARR: Researching and Revising What Language Models Say, Using Language Models

Reference 255

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no resolver link, observed 2026-08-03T00:55:38.764692Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:55:38.764692Z digest=sha256:56748532af3a48cd84aceafcd02bf2f845432f61ec520369ce97d8015d151f38

Observation 3f3b8bd6-d887-4c7e-9f4a-1894d2b724f6 · inbound

When Memory Updates but Behavior Does Not: Repairing Implicit Stale Dependencies in Personalized Agent Responses cites this paper.

When Memory Updates but Behavior Does Not: Repairing Implicit Stale Dependencies in Personalized Agent Responses RARR: Researching and Revising What Language Models Say, Using Language Models

Reference 6

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no resolver link, observed 2026-08-15T15:11:00.229720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:11:00.229720Z digest=sha256:dbc97f6e8708f4b86e9a6b02d46ebce4bb04bd59cea3311db1e3ebd053b2e628