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Paper Citation Record · LEDGER

The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2401.03205.

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

pith.paper-citation-record.v1
2401.03205 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:44:32.201925Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

9
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5412579c-fa60-4b4b-8a8f-e7a1f2ceeba3 · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 175

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:46:27.212996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:7b6871320c6cb4371e52618c9d3802d4f324f3ebd8fa247a34d0662a11b6a90a

Observation 3681077f-6895-4155-b104-4fd21bcb5911 · inbound

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:32:33.219837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-23T04:30:38.804702Z digest=sha256:8704cdeafaae215087ff27176164e53e9ea5405439b89cd8774b3275504edfad

Observation 911ec246-e3ca-4ef7-a54b-253350311b84 · inbound

The Hallucination Tax of Reinforcement Finetuning cites this paper.

The Hallucination Tax of Reinforcement Finetuning The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T15:44:32.201925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:44:32.201925Z digest=sha256:74b950adfc4d2153d64e28822b23f4ff662209df2127a42c85582d45b8a7c9ce

Observation b7df3a95-87d7-46a9-93f2-564b19cae85e · inbound

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning cites this paper.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T12:24:17.146987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:17.146987Z digest=sha256:ed45b524d5713cf5b1b3392d11b8b4a027d53640f2880f846d852a054052719c

Observation bd7a68d5-7975-45ca-9620-cc087fb97c66 · inbound

Conformal Prediction Beyond the Seen: A Missing Mass Perspective for Uncertainty Quantification in Generative Models cites this paper.

Conformal Prediction Beyond the Seen: A Missing Mass Perspective for Uncertainty Quantification in Generative Models The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T10:30:14.203931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:30:14.203931Z digest=sha256:2377ad4d47614df75f89d84c7cf3a601b6f1c42012872dc8978793f758e7b889

Observation 854b0e02-50a3-427d-b778-9b08f4113e17 · inbound

MIRAGE-Bench: LLM Agent is Hallucinating and Where to Find Them cites this paper.

MIRAGE-Bench: LLM Agent is Hallucinating and Where to Find Them The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T13:06:37.580196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:06:37.580196Z digest=sha256:73e5f385e88b8cdfbc1274d9712fac2b33d84b6df74ccea019544c28f3add3e0

Observation 18e73542-41d2-4802-aad6-c00ff42af1d7 · inbound

A comprehensive taxonomy of hallucinations in Large Language Models cites this paper.

A comprehensive taxonomy of hallucinations in Large Language Models The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T05:29:14.164189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:29:14.164189Z digest=sha256:c9c861f4905ebfa99b5eb2d0348e73eb55647e243c61a1931ddc601f63011a66

Observation afdc2096-c1d0-4626-9127-06be6a756aa1 · inbound

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality cites this paper.

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-05T15:38:46.174827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:38:46.174827Z digest=sha256:085776322f4e068ace00da65feabfc76a1dc4902167e14e204d18fa8f647619a

Observation 23af70ab-a521-4ec7-8836-1d52458a9731 · inbound

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification cites this paper.

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T05:07:43.228300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:07:43.228300Z digest=sha256:93d33370793a83fde48e60665194d68c361ad6ffed939d7fa42a35b75162c0f6

Observation 16f5bd45-5b20-40ba-a7ec-b12d7027c2d5 · inbound

ReFACT: A Benchmark for Scientific Confabulation Detection with Positional Error Annotations cites this paper.

ReFACT: A Benchmark for Scientific Confabulation Detection with Positional Error Annotations The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-18T12:56:24.462017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-18T12:54:01.717015Z digest=sha256:e1c8cf3603d0644a60fdb6182d67af01d33d54680202fc3665c616bd7d7358b7

Observation 3ae8f2ae-9dca-454e-b315-53b13e95dda9 · inbound

V2E: Validating Smart Contract Vulnerabilities through Profit-driven Exploit Generation and Execution cites this paper.

V2E: Validating Smart Contract Vulnerabilities through Profit-driven Exploit Generation and Execution The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:35:26.748787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T13:25:30.427925Z digest=sha256:a8e484ff391c59a3c3b7afd20cb4bb906d26e52f1ede819ac74479bef5fe6792

Observation 153960c2-6d96-4846-a55a-305bf9ce2c0d · inbound

From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry cites this paper.

From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T17:21:10.424632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T17:38:30.092429Z digest=sha256:86b824e77d7fffc7e20289a87097cc65db62c736b128ef93c8db47b92c89a558

Observation 64b1e04a-f972-498d-9ba0-acc78994f65a · inbound

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations cites this paper.

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 181

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:17:56.479858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-14T20:13:10.814899Z digest=sha256:239b25b1c385a08405c5d3cd6da7c2db360fc827cc1487ff41eb64d27a01d65c

Observation 672bc7a9-9046-4b56-8729-0ff2fd426598 · inbound

Quantization Undoes Alignment: Bias Emergence in Compressed LLMs Across Models and Precision Levels cites this paper.

Quantization Undoes Alignment: Bias Emergence in Compressed LLMs Across Models and Precision Levels The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T17:57:42.499733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T17:55:35.764347Z digest=sha256:21a953a7e69c540810305752c83779e0854efd4e58c3edc301211799b7dec2e5

Observation 67ee9fad-be5b-4d06-85c3-0d804757ee0d · inbound

Evaluating Deep Research Agents on Expert Consulting Work: A Benchmark with Verifiers, Rubrics, and Cognitive Traps cites this paper.

Evaluating Deep Research Agents on Expert Consulting Work: A Benchmark with Verifiers, Rubrics, and Cognitive Traps The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T12:33:16.785767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T12:32:22.536994Z digest=sha256:c69a518f8a82c450c55d49a071973216c5994d769f0ee43e7c4dd08453a8499d

Observation ee3ab6cb-bd72-48f4-a0fc-b6bae2d7b138 · inbound

Analyzing the Correlation Between Hallucinations and Knowledge Conflicts in Large Language Models cites this paper.

Analyzing the Correlation Between Hallucinations and Knowledge Conflicts in Large Language Models The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-02T22:37:26.444268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T18:43:58.988270Z digest=sha256:f961e39cb15734b16a26cedb7dcdffaa8a20f898ab042809f0b2af92f9410395

Observation 9a288006-6e93-4f3f-8317-cde45ab16e1b · inbound

Decision Protocols in Multi-Agent Large Language Model Conversations cites this paper.

Decision Protocols in Multi-Agent Large Language Model Conversations The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-11T10:52:59.410307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T10:52:59.410307Z digest=sha256:0ddecb7659689554556b73568cc88e1b5e223663301ecd48e015c277d37b2288

Observation 4795d50a-1d40-42a7-9354-f932aeafba59 · 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 The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-31T23:11:41.753048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:11:41.753048Z digest=sha256:df4370da4c12539ce10c6d1ab81ad77df78bdd707a9479e8698a0cf41d73b8a1