Paper Citation Record · LEDGER

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models

As of 8 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2505.20767.

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

pith.paper-citation-record.v1
2505.20767 v4

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:53:12.867294Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-02T13:06:48.136587Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T13:06:58.367109Z

Reference resolution

44 of 44 outbound references displayed

verified exact0
verified fuzzy1
unresolved43
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 944b5611-8f5a-40dc-994f-22b70ee7d096 · outbound

This paper cites GPT-4 Technical Report.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:08.452384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b60bacc6-41fa-485e-8f00-87efc1603da0 · outbound

This paper cites Luna: An Evaluation Foundation Model to Catch Language Model Hallucinations with High Accuracy and Low Cost.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Luna: An Evaluation Foundation Model to Catch Language Model Hallucinations with High Accuracy and Low Cost

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:08.580242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cc7bdbd-d41a-492a-ac21-fa0dd2df9dc9 · outbound

This paper cites O'Reilly Media, Inc.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models O'Reilly Media, Inc

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:08.704189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7db04cb-2d0c-4042-b10a-91ee5d01cdb9 · outbound

This paper cites an unresolved cited work.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:53:15.744755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0479ffb5-8bc1-4dea-988d-4633d255de67 · outbound

This paper cites Language Models are Few-Shot Learners.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Language Models are Few-Shot Learners

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:08.950703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bb4b3ac-8af8-49fe-964d-e18696685638 · outbound

This paper cites an unresolved cited work.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:09.086545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d9c4b50-b4bc-4e0a-9bea-d831c73e1cfe · outbound

This paper cites an unresolved cited work.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:09.246384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea80b5d5-598a-4bb8-a231-2f9b8b7ebbd5 · outbound

This paper cites A Survey on In-context Learning.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models A Survey on In-context Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:09.393210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2a05738-e36d-4718-b0d6-955a339e2ba3 · outbound

This paper cites an unresolved cited work.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:09.515514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89947769-ed9b-4fa4-b978-6784eb53bced · outbound

This paper cites an unresolved cited work.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:09.615007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24fdcf5b-0761-4775-9947-fb7f6fbb2ac6 · outbound

This paper cites an unresolved cited work.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:09.730446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 661989e3-ab8a-47d1-946c-f6084ce6771d · outbound

This paper cites an unresolved cited work.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:53:15.534600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e2a8feaa-8720-459a-a4d6-04ae9a7cba30 · outbound

This paper cites The Llama 3 Herd of Models.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models The Llama 3 Herd of Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:10.033684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44907fb3-54ae-4e8b-b397-6a26ee88bd8a · outbound

This paper cites XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:10.176702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9da80049-6dd8-4336-9e98-a535c836dbdd · outbound

This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:53:15.252265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9731320e-1dc7-412b-bab9-f54493f88d05 · outbound

This paper cites an unresolved cited work.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:53:15.042721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 90c4a806-0b95-4ca0-93b1-8bc2431bd291 · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Gonzalez, Hao Zhang, and Ion Stoica

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:10.507259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2f6c147-4cc6-4ee8-b332-0c3176687ca8 · outbound

This paper cites an unresolved cited work.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:53:14.792722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 414b8cd1-042e-4aaf-a9ed-021901d41f96 · outbound

This paper cites u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:10.657469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ad0e4ae-154d-4a48-bbdc-7dd327200b2a · outbound

This paper cites an unresolved cited work.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:10.760010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9fd9633-c27e-4827-abdd-7ad4f9af2743 · outbound

This paper cites HalluDial: A Large-Scale Benchmark for Automatic Dialogue-Level Hallucination Evaluation.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models HalluDial: A Large-Scale Benchmark for Automatic Dialogue-Level Hallucination Evaluation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:10.831637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77b4d2ad-8fcc-4390-97c2-357f9706a1aa · outbound

This paper cites an unresolved cited work.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:10.923975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd680cc0-a9fe-417f-8d0d-40806512a882 · outbound

This paper cites an unresolved cited work.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:11.012964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03d1bbf7-b2f6-424e-8155-36b4ef16bc4e · outbound

This paper cites Fine-grained Hallucination Detection and Editing for Language Models.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Fine-grained Hallucination Detection and Editing for Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:11.123548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e4e6f05-0bfb-489d-b8b3-a2a858cf4355 · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models WebGPT: Browser-assisted question-answering with human feedback

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:11.199171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec54e90b-7818-42e6-8ac8-6125611b876f · outbound

This paper cites an unresolved cited work.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:53:14.555449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2afc853f-ccba-4a01-9b85-e0822050f523 · outbound

This paper cites RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:11.395541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30f9e564-f99b-482a-90e7-64a990fa35f5 · outbound

This paper cites an unresolved cited work.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:53:14.374660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 56bcfde9-c6c2-4584-b80d-dba7c7e17161 · outbound

This paper cites QuestEval: Summarization Asks for Fact-based Evaluation.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models QuestEval: Summarization Asks for Fact-based Evaluation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:11.597401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cdb5e12-4b31-4435-be1b-987cd981f521 · outbound

This paper cites Get To The Point: Summarization with Pointer-Generator Networks.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Get To The Point: Summarization with Pointer-Generator Networks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:11.698812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b491bdc-0854-46db-8fac-7455a3c337c7 · outbound

This paper cites an unresolved cited work.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:53:14.207115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation be9b3108-56a1-4918-8741-d6d92690bab9 · outbound

This paper cites an unresolved cited work.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:11.908324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46a68bb9-9044-44be-92b7-18108499b23f · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:12.001674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b2aa7e1-7586-4895-9733-5c00d4e59fd2 · outbound

This paper cites an unresolved cited work.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:53:14.050786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a0b22b3c-634d-4e85-8db2-8def45981b0c · outbound

This paper cites an unresolved cited work.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:53:13.884152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ee926452-85f2-4f28-a780-94d5c1588125 · outbound

This paper cites an unresolved cited work.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:12.235852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b402cef-be2e-4554-b7bc-b3395c6a1495 · outbound

This paper cites an unresolved cited work.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:53:13.683885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation afe79740-abfa-44dc-a403-5fe0b96dab89 · outbound

This paper cites Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:12.413207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c004a5c6-3608-4d74-af87-b905a83718d4 · outbound

This paper cites RefGPT: Dialogue Generation of GPT, by GPT, and for GPT.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models RefGPT: Dialogue Generation of GPT, by GPT, and for GPT

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:12.493121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf6febb4-99b1-4246-a2f1-9130f885d2a9 · outbound

This paper cites an unresolved cited work.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:53:13.524801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 321f94a1-7798-488e-ae52-0e6ab6530c7d · outbound

This paper cites an unresolved cited work.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Unresolved cited work

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:12.663036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a69147bb-052f-4998-9262-e5e4f5086bc3 · outbound

This paper cites CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:12.741030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b0b4a71-57bc-4e1d-b3db-18e13955e721 · outbound

This paper cites online" 'onlinestring :=.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models online" 'onlinestring :=

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:12.810987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 257636d5-a203-4fb3-b9d0-aea1509f1144 · outbound

This paper cites write newline.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models write newline

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:12.867294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 5605e944-40f9-47e8-88dd-197005a25ce7 · inbound

Faithful by Definition: Emotion Analysis via Natural Semantic Metalanguage Explications cites this paper.

Faithful by Definition: Emotion Analysis via Natural Semantic Metalanguage Explications CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:06:58.368763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.