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Paper Citation Record · LEDGER

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models

As of 9 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2502.03199.

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

pith.paper-citation-record.v1
2502.03199 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:37:08.101085Z

measured 30 of 30 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:03:51.776155Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:03:54.481002Z

Reference resolution

29 of 29 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 383d3c87-7b76-4395-884f-f7729bd0e91b · outbound

This paper cites Qwen Technical Report.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models Qwen Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-09T05:37:07.772309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:37:07.772309Z digest=sha256:189cedb65616687efa357d9f8f132931c5e6db876aed152166e9bc0257334f0e

Observation f1545b44-4e42-4592-83d6-9dde698b240e · outbound

This paper cites In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation

Reference 2

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unresolved
no resolver link, observed 2026-08-09T05:37:07.796729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:37:07.796729Z digest=sha256:f01a2dd5e930fcab5f0f649a24880932dc3ca8ef5b06466816c222fd99d3c8db

Observation 08ea832c-22e7-40c8-93ca-85bf46c86174 · outbound

This paper cites FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 3

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unresolved
no resolver link, observed 2026-08-09T05:37:07.824917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:37:07.824917Z digest=sha256:4b47c2b8e6f291b4aca9e7c52f0aad6b35c4aaedb553ad5d62a04a509b269983

Observation 344e3ab0-2940-4832-bab9-89af480cb97a · outbound

This paper cites DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-09T05:37:07.847175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:37:07.847175Z digest=sha256:a69e396a2709985070104ad5829cddcc40c2de9ced8abe6e0d270f395403bd22

Observation 5d464585-fa4a-42ea-ac16-eae0c2fedb5a · outbound

This paper cites Overthinking the Truth: Understanding how Language Models Process False Demonstrations.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models Overthinking the Truth: Understanding how Language Models Process False Demonstrations

Reference 5

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unresolved
no resolver link, observed 2026-08-09T05:37:07.873213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:37:07.873213Z digest=sha256:7c15580a2cded8bb0ff45d179ac25fddab8288dcb7376f98910839f262d97ce9

Observation 1091a460-1ef7-4820-ae98-c9dc3c8e529a · outbound

This paper cites an unresolved cited work.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-09T05:37:08.618512Z

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=2026-08-09T05:37:07.885131Z digest=sha256:2035ddea3c7517198c4ce5f54ca0c2e19a51f2636393bd88dad62833e6407cc9

Observation 3be5c19b-3d55-4a31-8068-0d851212a0e1 · outbound

This paper cites an unresolved cited work.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models Unresolved cited work

Reference 7

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unresolved
no resolver link, observed 2026-08-09T05:37:07.892687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:37:07.892687Z digest=sha256:3b02e1f52a26f78af41866df14f79722df2555b7f3ffbfe8f65da5fa0233456f

Observation b8a61e99-5822-4730-87c7-e11b23f492ef · outbound

This paper cites Mistral 7B.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models Mistral 7B

Reference 8

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unresolved
no resolver link, observed 2026-08-09T05:37:07.897939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:37:07.897939Z digest=sha256:6cbf9f6c5bb9378540c00f246ac1060a29e8abf4780764e39146226d04ebc421

Observation 16240d6d-2c24-4f95-b73b-988201e6314c · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 9

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unresolved
no resolver link, observed 2026-08-09T05:37:07.903481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:37:07.903481Z digest=sha256:7dcd8ef192be94f988e32e8d37f45bad8068c6f588af9f489f372e3771377df1

Observation 155e39a8-3b65-4783-b050-e61b524a6595 · outbound

This paper cites an unresolved cited work.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models Unresolved cited work

Reference 10

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unresolved
no resolver link, observed 2026-08-09T05:37:07.909007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:37:07.909007Z digest=sha256:10f6f89d5eae5fcf258b34a62d6827a961a784f302cb352d34f9432cc7502946

Observation 80e2d8be-d3f0-436c-a346-829768ece3e1 · outbound

This paper cites an unresolved cited work.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models Unresolved cited work

Reference 11

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unresolved
no resolver link, observed 2026-08-09T05:37:07.914393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:37:07.914393Z digest=sha256:a00508f6f47159d783685c5fcfd3186fd5f82f24866c568f11967eb0c3989499

Observation c5570255-7bdc-4c43-b23f-5fe99d2e1078 · outbound

This paper cites Contrastive Decoding: Open-ended Text Generation as Optimization.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models Contrastive Decoding: Open-ended Text Generation as Optimization

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-09T05:37:07.919433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:37:07.919433Z digest=sha256:3d5f39ac8b91024064ebecadc67e053eac17d659636a54d0908f342739af25be

Observation d6da5d74-84f9-497a-a4d1-7e653a3f638f · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-09T05:37:07.924761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:37:07.924761Z digest=sha256:ce414cbe2bd11de64c6faa4093c9491911fa3356ceb633d4c9ad321de8626b8a

Observation 3df65717-16a5-4af0-bc62-4eba90a4ca4f · outbound

This paper cites Generating Benchmarks for Factuality Evaluation of Language Models.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models Generating Benchmarks for Factuality Evaluation of Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-09T05:37:07.929837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:37:07.929837Z digest=sha256:7634cad8af5f3a6e3d22cbce07ec256f4db5f2277d9a120d551c7924e83b635a

Observation ad91379c-a3d8-4f0d-9ac9-236f73d24513 · outbound

This paper cites GPT-4 Technical Report.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models GPT-4 Technical Report

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-09T05:37:07.935061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:37:07.935061Z digest=sha256:f56ebc376a9820d9ec3a807041de7bc6e7555e0794b4f8db76b1c95a39a663a4

Observation 4d029fae-5f19-4212-bc91-06069993e36f · outbound

This paper cites Self-critiquing models for assisting human evaluators.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models Self-critiquing models for assisting human evaluators

Reference 16

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unresolved
no resolver link, observed 2026-08-09T05:37:07.939989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:37:07.939989Z digest=sha256:a7c4511f95d5dd29ce5515e6feb35e59d40f1cb25f287344b6c0a289300464f7

Observation 133cc4c3-4ac1-4935-b923-bc055480cc3c · outbound

This paper cites an unresolved cited work.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models Unresolved cited work

Reference 17

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unresolved
no resolver link, observed 2026-08-09T05:37:07.945638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:37:07.945638Z digest=sha256:51f51e79c46313a48d9a65cc48325045d458c0b52d37cb00713c67a47de5a858

Observation f425bbaa-f995-447c-97e7-ba5e02887d86 · outbound

This paper cites Aligning Large Multimodal Models with Factually Augmented RLHF.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models Aligning Large Multimodal Models with Factually Augmented RLHF

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-09T05:37:07.950296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:37:07.950296Z digest=sha256:bdef6240e7d07d82bc33a6eff076789ffb7806db9be8624b1b6a9eb599fd6ad0

Observation 0aa5a76e-e2d8-4f12-9138-fe0b2fcedd27 · outbound

This paper cites Fine-tuning Language Models for Factuality.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models Fine-tuning Language Models for Factuality

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-09T05:37:07.956445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:37:07.956445Z digest=sha256:08ccff40ee9f0f9e3d7503ccc7a95f619eb4e2f712f037e41d9fc92a1063bd2b

Observation ee18bf01-159d-4864-8493-e4f6a2331134 · outbound

This paper cites an unresolved cited work.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models Unresolved cited work

Reference 20

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unresolved
no resolver link, observed 2026-08-09T05:37:07.963232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:37:07.963232Z digest=sha256:18aab3e4d3744d4f80e39ee764a54a7eeb578b7ef175f9a8415f93abb2717e67

Observation e2212c5a-857b-4970-8202-6b6948cd88bf · outbound

This paper cites Alignment for Honesty.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models Alignment for Honesty

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-09T05:37:07.969114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:37:07.969114Z digest=sha256:e01065e4e049b85cf12df5f1f0d36023f5bd8c8c155a66b82a1658516ac11c81

Observation fa713c8c-c207-4f65-a914-a36f57955b2f · outbound

This paper cites TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T05:37:07.975587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:37:07.975587Z digest=sha256:fbe09c6f5f317e6b9bb7c39e534bdb2f65aa26234e35ce94eef5ea7372a9b213

Observation 0b5bb8a2-444c-4bf0-a349-6f59ddff52dd · outbound

This paper cites Alleviating Hallucinations of Large Language Models through Induced Hallucinations.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models Alleviating Hallucinations of Large Language Models through Induced Hallucinations

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-09T05:37:07.981258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:37:07.981258Z digest=sha256:3a1222873080f4734c39cddd61685d091c2616c46de46af0ee34e798011a9c1b

Observation f644b3c8-2efe-4c09-84d2-345b8f106a4c · outbound

This paper cites Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-09T05:37:08.009863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:37:08.009863Z digest=sha256:a9260fd19619f9d573cb7913d391a446572bc2520dd225a5afad16d13f0a355e

Observation 0493c035-1b40-4400-aeef-c21b84a0cc2b · outbound

This paper cites A Survey of Large Language Models.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models A Survey of Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-09T05:37:08.036458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:37:08.036458Z digest=sha256:a3c74af47c733b85c4e81fd7661d393d00b81872eb1cacab7344748a1a76d599

Observation 3403ff4b-7bdb-41a7-9c2f-47619137907d · outbound

This paper cites an unresolved cited work.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models Unresolved cited work

Reference 26

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unresolved
no resolver link, observed 2026-08-09T05:37:08.059403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:37:08.059403Z digest=sha256:c15aa9dae1dacd5404e3a0b1f2ccdf7bae22b31ed6d3e2b20608241736b5bbd7

Observation f6cbe259-95f2-49c5-b3a8-9b8de72d8edc · outbound

This paper cites Representation Engineering: A Top-Down Approach to AI Transparency.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models Representation Engineering: A Top-Down Approach to AI Transparency

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-09T05:37:08.079678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:37:08.079678Z digest=sha256:207567ddef09302d4a48c202b7cb457adf3ccbf6b6018485d586825d10c9efa7

Observation d99054be-b7e7-44b4-8edc-accdc6ee98c9 · outbound

This paper cites online" 'onlinestring :=.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models online" 'onlinestring :=

Reference 28

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unresolved
no resolver link, observed 2026-08-09T05:37:08.094630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:37:08.094630Z digest=sha256:bb5be978569192af9fe2e9b6da08c3aaecd09f213daef2606915b036b9f6bc22

Observation ba760566-c1cd-4fe1-bfc9-85d5fbc5495a · outbound

This paper cites write newline.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models write newline

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-09T05:37:08.101085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:37:08.101085Z digest=sha256:90b4888f009133584b9ad9aaa1c7aa66ad36bceabe2aba83e79436b8f8f31d73

Pith citing papers

Observation d0ca70b8-6a9a-47a6-a82a-3e7f1a288594 · inbound

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models cites this paper.

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:03:54.577021Z

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=2026-08-06T20:03:51.776155Z digest=sha256:6fcdcbedb4a752c6d8b04266aca891f137b4c429b693222ddef7e587e6060a2b