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Paper Citation Record · LEDGER

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

As of 23 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 2026-08-23T06:30:58.430688+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=sha256:76dd737051a2a294223c26228dd2f4aa328be24e201e9fc800d2aaaa08f135fe

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=sha256:170313e07d6926f6d686a81f52aa1b2bc3c6e1dcc7e6a613244bddf9afdd8093

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=sha256:82be41579d7a7257f9485821c5b303a5f6cd9730e1d7c5ed43c61e240cc5d2e2

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=sha256:884d97bd1b45a3537ae2f6867cf36daab9357cebb6d7dbbcc903bf0c6d42ade4

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:ccefe524c3ae1058b89c1af19c8ecd52721db392844878fc00aca2cf294c56ad

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=sha256:4cd1f23c3d64cfa396a9dc68aa67055a718e1b6f8bd39f3a3ac92b5b730682ce

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=sha256:484155d4530b0063b7314c7dc200188c863c373329bd6a38d21a026906287c3c

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=sha256:8fdd9cce3b1f4db1904e6d48160dea789d147e190dc972095a7b45b18dfe552a

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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source=pdf_text observed=2026-08-01T05:52:37.772729Z digest=sha256:8aa70f4920adbb8e2e85851d1fa98b6e03cc4ad4265f621c4ee8ee253a34add1

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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source=pdf_text observed=2026-08-01T05:52:37.828736Z digest=sha256:aeee87dc757d631f520393797eca55b87e2892647bc3a3c810d5987dd5897897

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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source=pdf_text observed=2026-08-01T05:52:37.933037Z digest=sha256:7e4f8c3aa26f1b55d470cc0224b7c632a9e30f7ff88f8be6831ae9c1ca4040de

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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source=pdf_text observed=2026-08-01T05:52:38.047390Z digest=sha256:9c322f3acdde14a67bed65f0983dce48a6def72c6cc4f1c5427424d3dd56dc72

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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source=pdf_text observed=2026-08-01T05:52:38.172967Z digest=sha256:abe8b4791a6e2a7c85aa423d27382ced19bb3e2963527ebfa4d4fc22aa119bd7

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

This paper cites an unresolved cited work.

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

This paper cites an unresolved cited work.

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

This paper cites an unresolved cited work.

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

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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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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

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source=pdf_text observed=2026-08-01T05:52:41.262897Z digest=sha256:1b95622da0bf6c8ab6759b954eb4a03c74d1e4ffd3fc91f4b0d836ae77fcec54

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=sha256:32c7f1e9cd06fb3bae12b78477a4cdd45b44e6422795b86a0b648cef05350beb

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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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:b76c2cbbd8dad8f501568a93c45670c6e26f4f22b48c62a55abca7644ba21013

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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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=sha256:4372be02212bc6383f80fbee15500614758b40ac7767744ef0c3ab3a5a9ef490

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:aea1956a4dd40c2840a70c9b2f4cc47d2562422c601a7bcf5a5404aaa3d0f92d

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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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=sha256:55d97e0fe23daf2a78ac841abff9df21272a73bdca8d501eeed4164ed14778b9

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=sha256:34088450548f1e37c58fe614a782549c8ea763e029be8c23c7e456b6c636e571

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=sha256:1f79148d005276be1dbc3499ff5e60b3a389186cfb4b405a7177069722e00ff6

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:e484efa71d3c0915ee3223a14ae64ab397c87b4ca5c8ed66e6d7a420bcb90e75

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=sha256:16ff58cf642522b9d497311e81823d15771bbb5c8c3a9ac58641cc8f65e2b40d

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:baffd7a95952ecb78aa52f1a8b3865997ee086eca96a9fd55291c2ca3b23420b

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:e0daecc7d83237d6ad969dddfc539e0683418dcbd2e5ba25a30d2fb7f41f6a52

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=sha256:1e31b15ba6201f0da6499bae8065a2d2c592d0f12bc700eeb05c684df9aaa3e4

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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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=sha256:5f08823c412f37eac240ad8d3bfa723b30541baae885e1595091cd90b7a2ffe9

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:f13044bc4ec96bec93b1dd2527410adeec8b619a8b54443320db9866ec7c6ef4

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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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=sha256:55be5f3e2614aa62a85a61ba82c001135c53e997d1134c05bef5a0eabf6da7bd

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=sha256:08d26d1c483901a58daffd8c163515323f626bd772cd939e45bf59f22fa3bf47

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=sha256:637663c535a539a4c7ef15066abb0812f5caf609d4c177cc9ffdeb45c81d3da5

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=sha256:65e9824047354c72c7bbf3d7407cd1121cd16887dcb1d2c956810d06cebbec43

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?

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source=pdf_text observed=2026-08-01T05:52:44.046869Z digest=sha256:f0511052cca82942c8b1803af3416f6160a46f92a60d2e162ee49adf2c8abd69

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=sha256:95b91a6c29dbd5dc8b15e93697b1c61272f44a6807bd01ba907b616758cc811a

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:fb5e2c810f029cd170edd3e93ebdc3a9ab85f098ef9e036303bd7d1b8ffbd7d3

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=sha256:86afef9e7beae8a16be7151c631bd38ef6eb6ab24a6e0ec9fa9ed0824b2f14b0

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=sha256:34db3ab452d4a1e23e541e058b0a6aab0fdecdabdbf8819ec080f5cf8158cd6d

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:e4a740f4a69a8ece3ddb8513656fba4b6d56e6608a87d0b5640b73cc77daf933

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=sha256:9668943bb0e4e2c818a46353ac317824cdf9088008897598d7ab64cb183a388a

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=sha256:4b27755a45c9efc7a3b6a234d6085a97d6047f95fbdf9575683d6ab736a1a530

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:db15789064d2cf1bd4ba5bef2221d7a52b2be7cced5200d1eb8c9cef00ff98b1

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=sha256:639107263956911e0de829fcba209f0fe9a4d471eaad2f79038400e562947563

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=sha256:68ff44f4ce2dc86bd7b2888ba486a0e85a8dde83a36694358ea78eccfc4e5630

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=sha256:4382714a5e19cda5393ea7bbd2dbf9ca8e0dad38a83926fa5397562f51dded60

Pith citing papers

No inbound Pith citation observations are available.