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Paper Citation Record · LEDGER

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models

As of 6 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 0 inbound Pith citation observations for arXiv:2607.22098.

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

pith.paper-citation-record.v1
2607.22098 v1

Coverage vector

measured 77 of 77 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T05:52:44.851286Z

measured 77 of 77 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

77 of 77 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved77
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 156a3108-5c90-42e6-82cb-4c6f4fd04aef · outbound

This paper cites Understanding intermediate layers using linear classifier probes.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Understanding intermediate layers using linear classifier probes

Reference 1

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source=pdf_text observed=2026-08-01T05:52:36.890901Z digest=sha256:61619e87164a7f39a32543468b4f2fbf6898ea52a776d10b84c0fc3c1c964ad2

Observation 364fedbc-77f8-4f65-ba98-9873411b16a5 · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 2

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source=pdf_text observed=2026-08-01T05:52:37.034370Z digest=sha256:383100d8949068ebfc050de40b5323579f24558e50cd85056f01d0c28bd2fe02

Observation 484ac669-5207-4252-a588-a67b25d3f648 · outbound

This paper cites Azaria and T.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Azaria and T

Reference 3

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source=pdf_text observed=2026-08-01T05:52:37.188870Z digest=sha256:4519efe5676ef4f5d9e0ce8ddcc518b8d2c8be3810b42eb7582e85bcadd3ef6e

Observation ac43aab2-ef54-45c4-9f71-cd2048fec2c2 · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 4

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source=pdf_text observed=2026-08-01T05:52:37.358553Z digest=sha256:bcddd921d52656711854127d85ac037383a3b048c62559f38a63bca73bae5c71

Observation 47daa2f5-12ac-4ee8-b9ac-46e9364f8da0 · outbound

This paper cites Bhatnagar, Y.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Bhatnagar, Y

Reference 5

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source=pdf_text observed=2026-08-01T05:52:37.475377Z digest=sha256:c60488d9262d261b40db90806252a9f6f8bcb26ebdaf1cef8ae8780e30d5024b

Observation 700712e4-fbb4-46ef-b823-4152848323a2 · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 6

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source=pdf_text observed=2026-08-01T05:52:37.596454Z digest=sha256:7cf8b03a83a48631045a52a6857d661017ad0fa3fd269ce2adf2930f1727c33e

Observation 26f7537e-e0d9-40ce-ba23-9dadd50d4cd0 · outbound

This paper cites Burns, H.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Burns, H

Reference 7

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source=pdf_text observed=2026-08-01T05:52:37.640611Z digest=sha256:9ff077763831995dedcae75cac671648dee7f96131703783d39065a7981c2d0a

Observation 2cabe78e-4bd1-4946-b159-4fadfa4f40b8 · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-01T05:52:37.715790Z digest=sha256:6a54b40f99d88adb5024dac0d8fd8866cf018893e1a322b4ad397ccaf8a4bb7d

Observation d6064582-aab4-42ae-b28e-abcd12f7b9f6 · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 9

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Observation f17b2cae-e4d7-433b-958d-cbe3ef4b7da9 · outbound

This paper cites Cheng, T.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Cheng, T

Reference 10

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Observation 4b838598-3e40-47e2-bb72-4b522cdcb11f · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Training Verifiers to Solve Math Word Problems

Reference 11

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Observation a193646a-1a00-4d29-9ebb-724d0bec2130 · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 12

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Observation a754c29b-50f7-4bb1-bd17-6b3b55e8a9fb · outbound

This paper cites Devlin, M.-W.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Devlin, M.-W

Reference 13

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Observation d04141d8-9f62-4100-8aee-6b59ae9ed1d9 · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 14

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Observation 684dc2cf-e19a-4aa9-9ccb-73078f806efe · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 15

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Observation 304fe2ee-65fa-446b-ad3d-2cd3c809b75f · outbound

This paper cites Deep Think with Confidence.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Deep Think with Confidence

Reference 16

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Observation 2e5561b8-2458-4886-94c6-d7172913f3f5 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 17

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Observation febbde75-9b94-4a44-8c6a-83508f6018c6 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Measuring Mathematical Problem Solving With the MATH Dataset

Reference 18

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Observation da34f14f-1eb2-4c8a-b17e-61b507ed6563 · outbound

This paper cites Ho, A.-K.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Ho, A.-K

Reference 19

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Observation e799d051-da08-462e-bcf9-d4834e6e3641 · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 20

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Observation 435f76c9-dd1c-485c-ad3a-5c597122f878 · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 21

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Observation e9abd1eb-c58b-458a-b3a8-2b01b222500b · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 22

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Observation a34f6bb4-3f3d-4832-bf04-99911bffb130 · outbound

This paper cites ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning

Reference 23

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Observation c0f1c5dd-69ac-4338-9a02-5571a6d235d2 · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 24

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Observation 90b7a53a-ab9b-439f-b561-0c5728ca9a86 · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 25

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Observation 2c5a8b22-7165-46ec-b96b-ee07b86b22b7 · outbound

This paper cites Huggingfaceh4/aime_2024, 2025.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Huggingfaceh4/aime_2024, 2025

Reference 26

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Observation c684eb02-d10e-44ac-b010-0b776a6a0a72 · outbound

This paper cites OpenAI o1 System Card.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models OpenAI o1 System Card

Reference 27

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Observation 99efdc81-dffd-4f8d-bcec-555ff37efd67 · outbound

This paper cites Jain and B.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Jain and B

Reference 28

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Observation 68f26ce7-1bb6-4af5-aeb5-9d78ae072e5f · outbound

This paper cites Language Models (Mostly) Know What They Know.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Language Models (Mostly) Know What They Know

Reference 29

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Observation 3373a1df-58f4-4d05-b717-9f6be25ef983 · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 30

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Observation 9dc13e06-5064-4b15-8376-5b2365c1dbcf · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 31

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Observation 174100e7-9535-4afe-a269-542750a473aa · outbound

This paper cites Lee, K.-H.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Lee, K.-H

Reference 32

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Observation 1ec85857-55fc-4f61-8766-1e2746682d48 · outbound

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Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 33

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Observation db274579-f4ab-49f3-89af-df888c27d4a1 · outbound

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Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 34

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Observation 7671029b-d977-40d9-83a7-96f557255bbf · outbound

This paper cites Liang, B.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Liang, B

Reference 35

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Observation d3b88367-8fff-4744-8326-66ee764c5d09 · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 36

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Observation 19a71003-0daa-44db-a852-1eccd3dafb27 · outbound

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Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 37

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Observation 2f0936e9-1ebb-4190-8e73-c3ac11789301 · outbound

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Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 38

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Observation e919e2ab-ec11-457b-a56e-10df717bb8a9 · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 39

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Observation fec39895-ab42-4233-8b2f-1f78570aa24f · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 40

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Observation d4a4ffee-9d3e-49ff-9cc9-318a3f86aa79 · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 41

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source=pdf_text observed=2026-08-01T05:52:41.127783Z digest=sha256:12dba327170ff846355785c1217f76dfd3345b04b1b8f4ee67269ec5f9653871

Observation db846c40-245a-4275-aaab-0b1171dde93b · outbound

This paper cites Deconstructing Long Chain-of-Thought: A Structured Reasoning Optimization Framework for Long CoT Distillation.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Deconstructing Long Chain-of-Thought: A Structured Reasoning Optimization Framework for Long CoT Distillation

Reference 42

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source=pdf_text observed=2026-08-01T05:52:41.262897Z digest=sha256:fde01877dd0b0a6687e94d84cbf7deb41df1609d9cf41b4213df8f8dc75ea456

Observation 7d687b72-435a-4357-9412-756e7dcca6cf · outbound

This paper cites Manakul, A.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Manakul, A

Reference 43

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source=pdf_text observed=2026-08-01T05:52:41.373820Z digest=sha256:7b7ea3522669f59bab0396e7786b66ec51ca0ec941d4c634ce6235f5a372b161

Observation 8412a5cf-e563-4fe2-b39a-5b3ca2ebbb76 · outbound

This paper cites Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection

Reference 44

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source=pdf_text observed=2026-08-01T05:52:41.504404Z digest=sha256:135f1809514d52b82055c8ac0dc3b3fb7f2883ab67eed873940fe5a4712b6e81

Observation e9e75927-f729-4d47-925e-401fc1a55808 · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 45

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source=pdf_text observed=2026-08-01T05:52:41.662716Z digest=sha256:db4e1f3d39f46e291bfbd5244b624d84464964e9ae2a29b6bbbc0da708732409

Observation 33042b10-f3df-43c0-9ffa-f4a8f1ec49bc · outbound

This paper cites AIME 2025 dataset, 2025.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models AIME 2025 dataset, 2025

Reference 46

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source=pdf_text observed=2026-08-01T05:52:41.810950Z digest=sha256:99493ffcbc53355e20b88606ac057c96b9ad7942bd95589eed53f897349d7ecc

Observation 5342f5db-dc67-4595-a707-332bbfbe0c48 · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 47

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source=pdf_text observed=2026-08-01T05:52:41.899127Z digest=sha256:0ee6560b4b701e0638b8339ae837ef4a1b2eb7af1700fcdc39a95a7015e520e0

Observation 501868bc-d9fe-4239-a5bc-753fcac8f8a3 · outbound

This paper cites Press, M.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Press, M

Reference 48

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source=pdf_text observed=2026-08-01T05:52:42.017847Z digest=sha256:74f3e1f65ebe44f818570235a81c3ffe022b707859d82b67116ae9ba8fd85aba

Observation 55439718-bb99-4fd1-9316-b29d5bf06fa2 · outbound

This paper cites CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings

Reference 49

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source=pdf_text observed=2026-08-01T05:52:42.177022Z digest=sha256:524dff9158a47085f117309078a792c0add00de4e4b3bb0ee73a77ef8dab8058

Observation 5392700f-514d-43de-9a50-358e604e0654 · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 50

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source=pdf_text observed=2026-08-01T05:52:42.298857Z digest=sha256:a1b85d5d91b208c352a5840d7a73bad84d27079ac03f914e98e1fabab6d5c97b

Observation bb1b0df9-5ffc-4fc8-a7c8-c4a02efb544e · outbound

This paper cites Santosh, Y.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Santosh, Y

Reference 51

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source=pdf_text observed=2026-08-01T05:52:42.434803Z digest=sha256:b4f27f728fca820fded556866a5dad66b0e071f1e971bfd94b5934e7b0a3c68b

Observation 9e582825-86a5-49dc-af23-65fca6471afb · outbound

This paper cites Sellam, D.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Sellam, D

Reference 52

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source=pdf_text observed=2026-08-01T05:52:42.582356Z digest=sha256:c5b65d89fc3b0959a13642ad011a890d7b6c687a2a078d18cd1bce07a06eded4

Observation 789818a2-667b-46b7-9e0a-8c23878bdba5 · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 53

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source=pdf_text observed=2026-08-01T05:52:42.761635Z digest=sha256:4d935f379991d30cae233e1a4205b57b29e58eac6a23fcf49ded3ea7436779b8

Observation 921168f4-3cff-4886-9b45-f772f171e7ac · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 54

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source=pdf_text observed=2026-08-01T05:52:42.880434Z digest=sha256:08e54bcb9130d82e920999314160d799ea8bfd524a7ef4828b8c9a7e2a04199a

Observation 82568413-f613-4ccf-8f1f-9285daf5da74 · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 55

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source=pdf_text observed=2026-08-01T05:52:43.053600Z digest=sha256:60a617b29c8ffd42c45f04d5a225fa2cdb7e12a8e51e1ff4559c07d3be1d08bc

Observation 957d9ab9-5501-4a7d-8d2a-3c56417c040a · outbound

This paper cites Trivedi, N.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Trivedi, N

Reference 56

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source=pdf_text observed=2026-08-01T05:52:43.223235Z digest=sha256:fb71d09140fb88971c434c55f178707e0254ecae24904f4e797ced6b4a507dfa

Observation d059c0a0-1ef9-44d7-bdba-a1a245b69a80 · outbound

This paper cites DeepPrune: Parallel Scaling without Inter-trace Redundancy.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models DeepPrune: Parallel Scaling without Inter-trace Redundancy

Reference 57

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source=pdf_text observed=2026-08-01T05:52:43.363221Z digest=sha256:da35f452337b5fcba4815f4c822bf248824d6fb4e81a0e95531eb5f4d8fc1ddd

Observation 108fd41d-c83b-47b2-99a0-9315a2a9306d · outbound

This paper cites A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 58

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source=pdf_text observed=2026-08-01T05:52:43.452222Z digest=sha256:b5c005862a23e7f97b86cb28089e34507034209ddce3857440e5e23bb8a241bb

Observation 27fd44e3-9856-4dab-9171-f5ea50bb788f · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 59

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source=pdf_text observed=2026-08-01T05:52:43.519850Z digest=sha256:3327b0a447ff758d3c07c8b3b12bc5668fa30e95464f8c6f3e140fa07247bcf4

Observation 1de23589-34db-45bf-8a0c-48d90f16b0d1 · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 60

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source=pdf_text observed=2026-08-01T05:52:43.578258Z digest=sha256:05bd8d1ed0f8a10d65cb90283d579e0b42871363218e02a8f88489a3b8984ade

Observation ca4476f6-a292-4d56-a8d8-9deb12aef4ec · outbound

This paper cites Wiegreffe and Y.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Wiegreffe and Y

Reference 61

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source=pdf_text observed=2026-08-01T05:52:43.630414Z digest=sha256:558b5a64c8489b38dce44b33acf0c0b2338c421a8561a4e11bfa07b7ec35103e

Observation 4a7fdb8a-91db-46a8-8a68-1d99b97e2342 · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 62

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source=pdf_text observed=2026-08-01T05:52:43.682540Z digest=sha256:cbe92659ea239b0600f79d26763b669d9fc00eb17137497b7de5b994506d8b6f

Observation 2d18f5a9-dfa7-49e3-9f20-61f7ccdc1116 · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 63

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source=pdf_text observed=2026-08-01T05:52:43.735639Z digest=sha256:e91317ed4cb6eaccc623301cc02186e5b41c2406d82d24950168f7abcf7110be

Observation fcb9423e-2b91-4b7c-873d-f5b3f1f83d8e · outbound

This paper cites Qwen3 Technical Report.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Qwen3 Technical Report

Reference 64

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source=pdf_text observed=2026-08-01T05:52:43.812752Z digest=sha256:9c80badfc62cdd077163ba5bbc5f9fd1c4138736bf5eb92e5bca899e172d40d4

Observation a1107203-e0c9-48c4-9bcc-2ee277069068 · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 65

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source=pdf_text observed=2026-08-01T05:52:43.902208Z digest=sha256:f8e445683241c218e1c25c02871ca3001675dcb7fb7dcd1fbc7b3af9f5b9ee9d

Observation 879461cf-adfa-493d-85a8-48b0f912a921 · outbound

This paper cites Are Reasoning Models More Prone to Hallucination?.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Are Reasoning Models More Prone to Hallucination?

Reference 66

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source=pdf_text observed=2026-08-01T05:52:44.046869Z digest=sha256:c55604e0febe0100d5345c598411fad24182185a1e901ee50d805caab6639d07

Observation f01dba94-f337-4884-9884-42c8d2ea697f · outbound

This paper cites Not All Tokens Are What You Need In Thinking.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Not All Tokens Are What You Need In Thinking

Reference 67

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source=pdf_text observed=2026-08-01T05:52:44.121978Z digest=sha256:5633b5856f09adfd4da50fc29297dacd9545810ef61e5d9d72ca15e6e1a6a446

Observation 36b63059-eee1-49ab-b13b-2e1ee4e9e368 · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 68

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source=pdf_text observed=2026-08-01T05:52:44.159127Z digest=sha256:159af5b337de5b975f5407ae8b5fa97d70ebef22e5ad980079ea042b35c6f571

Observation 3aa98601-6722-4a4b-829f-736f763be723 · outbound

This paper cites an unresolved cited work.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Unresolved cited work

Reference 69

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source=pdf_text observed=2026-08-01T05:52:44.217296Z digest=sha256:4a5b4df3410beffb0b42467aa97ecd5b7c7fc66c91c66645afba806c77b80c50

Observation 066daf25-cf43-49bb-a0bd-a4936f289db5 · outbound

This paper cites Zhang, B.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Zhang, B

Reference 70

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source=pdf_text observed=2026-08-01T05:52:44.297447Z digest=sha256:677b3b1c43bf2b7f30cc7b71008bf0d004bab5f528f5367ca3a6ea9861957b75

Observation ecd38bee-b07d-467c-a7ce-5242b6851284 · outbound

This paper cites Zhang, Y.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Zhang, Y

Reference 71

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source=pdf_text observed=2026-08-01T05:52:44.476605Z digest=sha256:19b9523ca2d0b3b3e24e864506c8da3cc016d0b5142b4d0b3e24a91c73d3df8b

Observation 58c8a165-3257-4c32-b5fb-bcdf88401178 · outbound

This paper cites Zheng, W.-L.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Zheng, W.-L

Reference 72

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source=pdf_text observed=2026-08-01T05:52:44.561840Z digest=sha256:42cb4eaab02b53f21d0d0de037e6aca2a85d87aefb6e7c348e3315d920d8ce69

Observation 5184a8dc-9f2d-4e67-81ab-cbc7b5582dbd · outbound

This paper cites You are a factual question answering expert. Provide one concise and direct final answer.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models You are a factual question answering expert. Provide one concise and direct final answer

Reference 73

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source=pdf_text observed=2026-08-01T05:52:44.631816Z digest=sha256:df98845d4da34224e0e1009d9a9b4f7d84f743afd295f2d7b1eeef2cfe00871e

Observation 86271597-dc72-4fc5-91d7-182bbe070fad · outbound

This paper cites This supports our default choice of computing the step score from the last answer token at the final transformer layer.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models This supports our default choice of computing the step score from the last answer token at the final transformer layer

Reference 74

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source=pdf_text observed=2026-08-01T05:52:44.713910Z digest=sha256:ea1f7b6c1988c287304e56249172b12268e4819fc6c303568e0f62e48154a0b2

Observation 0e83629d-3901-4cb9-bc17-e3033900cd3b · outbound

This paper cites REDE(proxy).

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models REDE(proxy)

Reference 77

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source=pdf_text observed=2026-08-01T05:52:44.851286Z digest=sha256:257a188f2c30526f5cc0fb1ca94e942c6f42cecd33c93d581c2669e24a1938df

Observation 5a48bf20-f04f-4b47-b3e3-a5a8d2bdd0ce · outbound

This paper cites Find m + n + p.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models Find m + n + p

Reference 89

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source=pdf_text observed=2026-08-01T05:52:44.773666Z digest=sha256:38b5475e6932bdb216ec42fb9382d59fa8bca1d8d673419736d5a33fd3a37716

Observation a8eb095b-e6d3-4fbc-bb3e-5b2e6b2bd5e2 · outbound

This paper cites S25 sin2 C = 189/445.

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models S25 sin2 C = 189/445

Reference 445

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source=pdf_text observed=2026-08-01T05:52:44.781307Z digest=sha256:e0e93f11468b2ea2efaf835fd2b73da5cca4b7d36d1049c16b4debfe4aa7932a

Pith citing papers

No inbound Pith citation observations are available.