Paper Citation Record · LEDGER

Are Reasoning Models More Prone to Hallucination?

As of 23 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 32 inbound Pith citation observations for arXiv:2505.23646.

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

pith.paper-citation-record.v1
2505.23646 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:45:33.187004Z

measured 75 of 75 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 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:48:29.762284Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T10:27:02.392963Z

Reference resolution

43 of 43 outbound references displayed

verified exact0
verified fuzzy24
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ca6a6621-3fb8-422b-addf-2f80b7f50d0f · outbound

This paper cites Benchmarking foundation models with language- model-as-an-examiner.

Are Reasoning Models More Prone to Hallucination? Benchmarking foundation models with language- model-as-an-examiner

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:38.902235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8630eb54-8235-433e-83f4-9041339d5d0c · outbound

This paper cites Probabilistic tree-of-thought reasoning for answering knowledge-intensive complex questions.

Are Reasoning Models More Prone to Hallucination? Probabilistic tree-of-thought reasoning for answering knowledge-intensive complex questions

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:38.563306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation db209ddc-6810-47a8-b8a4-4b1ce94e48ea · outbound

This paper cites an unresolved cited work.

Are Reasoning Models More Prone to Hallucination? Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:45:38.346192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 64e26b98-b5c2-4d45-9b75-cbc66e09165e · outbound

This paper cites Evaluating generative lan- guage models in information extraction as subjective question correction.

Are Reasoning Models More Prone to Hallucination? Evaluating generative lan- guage models in information extraction as subjective question correction

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:38.034204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e80ed950-51b2-4214-afb8-7038c270b26b · outbound

This paper cites Specializing smaller language models towards multi-step reasoning.

Are Reasoning Models More Prone to Hallucination? Specializing smaller language models towards multi-step reasoning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:37.888465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6b0dcafb-8675-45e9-9e65-2620201cd489 · outbound

This paper cites Strategic Reasoning with Language Models.

Are Reasoning Models More Prone to Hallucination? Strategic Reasoning with Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:30.195622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 438930a2-e28b-4ede-91d3-63367f19d084 · outbound

This paper cites PAL: program-aided language models.

Are Reasoning Models More Prone to Hallucination? PAL: program-aided language models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:37.656370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2b251128-fe9b-415d-b740-f052e7509b47 · outbound

This paper cites A survey of confidence estimation and calibration in large language models.

Are Reasoning Models More Prone to Hallucination? A survey of confidence estimation and calibration in large language models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:37.462066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 470596ab-9acb-4d96-8a41-7842cdde2e7f · outbound

This paper cites Glm-4-0414 model series.https://github.com/THUDM/GLM-4, 2025.

Are Reasoning Models More Prone to Hallucination? Glm-4-0414 model series.https://github.com/THUDM/GLM-4, 2025

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:37.253199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a3316b4b-0177-4d54-a433-db6f8f99dade · outbound

This paper cites Deliberative Alignment: Reasoning Enables Safer Language Models.

Are Reasoning Models More Prone to Hallucination? Deliberative Alignment: Reasoning Enables Safer Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:30.366747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91d0dfb1-318b-46ce-ae62-fc8b5fde9c48 · outbound

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

Are Reasoning Models More Prone to Hallucination? DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:30.447964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa512bf3-84d3-40c1-9c41-9a2aa9fcaaa9 · outbound

This paper cites DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning.

Are Reasoning Models More Prone to Hallucination? DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:30.515673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40c01fbe-6c3c-4c25-b7f8-ab428a258bfc · outbound

This paper cites T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling.

Are Reasoning Models More Prone to Hallucination? T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:30.579622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef403715-1aea-4d11-aea2-e423a916612e · outbound

This paper cites OpenAI o1 System Card.

Are Reasoning Models More Prone to Hallucination? OpenAI o1 System Card

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:30.651769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03549590-482c-4d85-902a-8db4f8c714f0 · outbound

This paper cites A Survey on Large Language Model Hallucination via a Creativity Perspective.

Are Reasoning Models More Prone to Hallucination? A Survey on Large Language Model Hallucination via a Creativity Perspective

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:30.769079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88f98a84-f86c-4f77-94b3-c474160d0bf5 · outbound

This paper cites Triviaqa: A large scale distantly supervised challenge dataset for reading comprehension.

Are Reasoning Models More Prone to Hallucination? Triviaqa: A large scale distantly supervised challenge dataset for reading comprehension

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:36.992094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 15b3dcb4-89b1-446f-948c-c88fa2e0d32f · outbound

This paper cites Large language models are zero-shot reasoners.

Are Reasoning Models More Prone to Hallucination? Large language models are zero-shot reasoners

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:36.702861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2609dbe7-4012-4e26-99a2-adf272d1856b · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Are Reasoning Models More Prone to Hallucination? Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:31.066648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e195a010-34f7-4702-a07d-a5d9fb85bac0 · outbound

This paper cites Rlaif vs.

Are Reasoning Models More Prone to Hallucination? Rlaif vs

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:36.459035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 56f1643a-2951-435a-9b6a-f71f0730259c · outbound

This paper cites DeepSeek-V3 Technical Report.

Are Reasoning Models More Prone to Hallucination? DeepSeek-V3 Technical Report

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:31.242447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64ab248d-de27-4100-85f1-cc34eff4e2a9 · outbound

This paper cites Deepscaler: Surpassing o1-preview with a 1.5 b model by scaling rl.Notion Blog, 2025.

Are Reasoning Models More Prone to Hallucination? Deepscaler: Surpassing o1-preview with a 1.5 b model by scaling rl.Notion Blog, 2025

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:36.200760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ab1aa07d-b0f7-4c67-9488-5dbead1d2b04 · outbound

This paper cites Teaching small language models to reason.

Are Reasoning Models More Prone to Hallucination? Teaching small language models to reason

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:35.936841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 67e848a8-2874-4084-b82c-7ec958502a50 · outbound

This paper cites An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning.

Are Reasoning Models More Prone to Hallucination? An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:31.525214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cd9df3c-8fb6-4597-866a-55e4efd7e386 · outbound

This paper cites Openai o3 and o4-mini system card.

Are Reasoning Models More Prone to Hallucination? Openai o3 and o4-mini system card

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:35.653094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 356ea4f8-3157-4183-a873-40998bf6cb16 · outbound

This paper cites Cooper, and Milos Hauskrecht.

Are Reasoning Models More Prone to Hallucination? Cooper, and Milos Hauskrecht

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:35.815597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ea9bd38b-ca7c-4f74-845d-307d038c7891 · outbound

This paper cites Recursive introspection: Teaching language model agents how to self-improve.

Are Reasoning Models More Prone to Hallucination? Recursive introspection: Teaching language model agents how to self-improve

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:35.352138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6d5acb81-b9bb-4419-aff8-5b27a0c3ee0e · outbound

This paper cites an unresolved cited work.

Are Reasoning Models More Prone to Hallucination? Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:45:35.506422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d414a14e-157b-421a-a581-8aa3cc26d32c · outbound

This paper cites A comprehensive survey of hallucination in large language, image, video and audio foundation models.

Are Reasoning Models More Prone to Hallucination? A comprehensive survey of hallucination in large language, image, video and audio foundation models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:34.985131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 57db818f-2ddd-4f3d-b0cb-d568fb68efb3 · outbound

This paper cites Qwen3: Think deeper, act faster.

Are Reasoning Models More Prone to Hallucination? Qwen3: Think deeper, act faster

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:35.180600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 52c00313-145e-46cf-a45c-ec4eee00a557 · outbound

This paper cites MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining.

Are Reasoning Models More Prone to Hallucination? MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:32.401267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7925b183-83ac-43d1-830b-3802800778c3 · outbound

This paper cites Mastering the game of go without human knowledge.Nat., 550:354–359, 2017.

Are Reasoning Models More Prone to Hallucination? Mastering the game of go without human knowledge.Nat., 550:354–359, 2017

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:34.806426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 91fd12a6-133e-485c-8708-0c9887561bcb · outbound

This paper cites Chi, Quoc V.

Are Reasoning Models More Prone to Hallucination? Chi, Quoc V

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:34.559953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4d76b50d-83c9-4e0f-847c-9abacab27e97 · outbound

This paper cites ReFT: Reasoning with reinforced fine-tuning.

Are Reasoning Models More Prone to Hallucination? ReFT: Reasoning with reinforced fine-tuning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:34.686068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dca250df-7db1-4195-b3a4-76afdac2d293 · outbound

This paper cites Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models.

Are Reasoning Models More Prone to Hallucination? Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:32.811607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc6fa950-9580-4289-92bf-3011befb0c22 · outbound

This paper cites Measuring short-form factuality in large language models.

Are Reasoning Models More Prone to Hallucination? Measuring short-form factuality in large language models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:32.707752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5fc8152-1f1a-4c18-ae3b-65089ce0cc19 · outbound

This paper cites LIMO: Less is More for Reasoning.

Are Reasoning Models More Prone to Hallucination? LIMO: Less is More for Reasoning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:32.921079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5bc901d-aaa1-4ac1-9cf3-e7f4ac9af352 · outbound

This paper cites Qwen3 Technical Report.

Are Reasoning Models More Prone to Hallucination? Qwen3 Technical Report

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:32.858599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47dca280-4e6f-40d1-b534-ee42cd40ee70 · outbound

This paper cites STaR: Bootstrapping reasoning with reason- ing.

Are Reasoning Models More Prone to Hallucination? STaR: Bootstrapping reasoning with reason- ing

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:34.358948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d43a438e-6464-4aa2-9aca-a28846594327 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Are Reasoning Models More Prone to Hallucination? DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:32.967235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f31e1e3a-1a83-4ce2-b23a-5c58e2000c3e · outbound

This paper cites Xing, Hao Zhang, Joseph E.

Are Reasoning Models More Prone to Hallucination? Xing, Hao Zhang, Joseph E

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:34.132094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7d6740eb-ceca-4a0f-b6c2-69ceb900e18b · outbound

This paper cites Automatic chain of thought prompting in large language models.

Are Reasoning Models More Prone to Hallucination? Automatic chain of thought prompting in large language models

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:34.256802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dafcc485-78b4-4d1f-9062-b70df1e51c57 · outbound

This paper cites intelligent.

Are Reasoning Models More Prone to Hallucination? intelligent

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:34.014630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cc49eaff-0066-4a58-b321-9d53deba874a · outbound

This paper cites an unresolved cited work.

Are Reasoning Models More Prone to Hallucination? Unresolved cited work

Reference 2023

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:45:38.194148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation 79ff357a-0c48-4bb5-88cb-bc4c57d0fe2d · inbound

KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality cites this paper.

KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality Are Reasoning Models More Prone to Hallucination?

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-19T07:37:08.992804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ed7f84f3-d5b6-45a2-ae67-f400ead1c0e8 · inbound

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey cites this paper.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Are Reasoning Models More Prone to Hallucination?

Reference 225

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:17.983703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34e2174a-a21a-4f47-bbd6-334613c02e47 · inbound

Mitigating Think-Answer Mismatch in LLM Reasoning Through Noise-Aware Advantage Reweighting cites this paper.

Mitigating Think-Answer Mismatch in LLM Reasoning Through Noise-Aware Advantage Reweighting Are Reasoning Models More Prone to Hallucination?

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T23:10:24.533640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 114e4901-c09a-4c47-a19e-8362aa4a6701 · inbound

Self-Rewarding Vision-Language Model via Reasoning Decomposition cites this paper.

Self-Rewarding Vision-Language Model via Reasoning Decomposition Are Reasoning Models More Prone to Hallucination?

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-18T21:06:50.899623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c7945fe4-69a8-4bea-a893-2dd1e5b7484f · inbound

Locus: Agentic Predicate Synthesis for Directed Fuzzing cites this paper.

Locus: Agentic Predicate Synthesis for Directed Fuzzing Are Reasoning Models More Prone to Hallucination?

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-05T14:29:50.250976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0fcb64b-11b0-4b10-b200-be3b69dc526a · inbound

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models cites this paper.

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models Are Reasoning Models More Prone to Hallucination?

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-05T10:39:03.278036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d28b91a-807b-4a7a-b5eb-a770dad92f72 · inbound

Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards cites this paper.

Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards Are Reasoning Models More Prone to Hallucination?

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T14:26:28.313285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 282775bc-914d-45ce-aea7-297bedbd6a00 · inbound

Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards cites this paper.

Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards Are Reasoning Models More Prone to Hallucination?

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T15:48:29.762284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 758909d7-aa6d-4bbc-bd79-e0202cbcc304 · inbound

Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models cites this paper.

Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models Are Reasoning Models More Prone to Hallucination?

Reference 106

Resolution: unresolved; no resolver link, observed 2026-08-04T08:15:58.184947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60341ed6-5f9a-4de9-a7a8-82da20180792 · inbound

PBFuzz: Agentic Directed Fuzzing for PoV Generation cites this paper.

PBFuzz: Agentic Directed Fuzzing for PoV Generation Are Reasoning Models More Prone to Hallucination?

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-03T18:37:51.147107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b7115f5-31ec-486b-9c22-ed39e9f1025f · inbound

Reasoning Model Is Superior LLM-Judge, Yet Suffers from Biases cites this paper.

Reasoning Model Is Superior LLM-Judge, Yet Suffers from Biases Are Reasoning Models More Prone to Hallucination?

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-16T17:21:07.939527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3e4fe3b4-ed41-4d16-bc35-8a88ed25d06a · inbound

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping cites this paper.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Are Reasoning Models More Prone to Hallucination?

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T11:17:47.252671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e50f1400-c5c4-46d5-b9ce-6c0a75ab3b27 · inbound

UCPO: Uncertainty-Aware Policy Optimization cites this paper.

UCPO: Uncertainty-Aware Policy Optimization Are Reasoning Models More Prone to Hallucination?

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T06:34:30.368552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27992434-6342-4116-b2a6-5907ad0eb5c4 · inbound

NeuReasoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-Neurons cites this paper.

NeuReasoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-Neurons Are Reasoning Models More Prone to Hallucination?

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-13T19:43:11.307056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation aba974ce-b8c6-41a4-9e01-b5d9368eb48d · inbound

BAS: A Decision-Theoretic Approach to Evaluating Large Language Model Confidence cites this paper.

BAS: A Decision-Theoretic Approach to Evaluating Large Language Model Confidence Are Reasoning Models More Prone to Hallucination?

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T19:53:11.918326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fe891fbc-123a-42a4-bf03-069b89b471aa · inbound

Beyond Stochastic Exploration: What Makes Training Data Valuable for Agentic Search cites this paper.

Beyond Stochastic Exploration: What Makes Training Data Valuable for Agentic Search Are Reasoning Models More Prone to Hallucination?

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T06:55:59.694025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7187730e-26da-4f9a-b3d7-8260a7ff84d0 · inbound

FAITH: Factuality Alignment through Integrating Trustworthiness and Honestness cites this paper.

FAITH: Factuality Alignment through Integrating Trustworthiness and Honestness Are Reasoning Models More Prone to Hallucination?

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:50:58.732571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 677574fe-79b8-4105-89bb-00f98ea3646e · inbound

Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges cites this paper.

Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges Are Reasoning Models More Prone to Hallucination?

Reference 138

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T14:00:28.670229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 45ed1154-8614-4d01-b251-a9cd28c96142 · inbound

Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.

Rethinking Agentic Reinforcement Learning In Large Language Models Are Reasoning Models More Prone to Hallucination?

Reference 112

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:21:29.678824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d4143ac8-7883-4f55-b155-9408091fb061 · inbound

Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.

Rethinking Agentic Reinforcement Learning In Large Language Models Are Reasoning Models More Prone to Hallucination?

Reference 112

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:11:17.437737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6ad3ffb4-9c23-48b7-97a4-f5d30d2a6067 · inbound

Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.

Rethinking Agentic Reinforcement Learning In Large Language Models Are Reasoning Models More Prone to Hallucination?

Reference 112

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:02:40.698512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5806770e-c06e-409f-a0fe-baf9db39e955 · inbound

Hallucinations Undermine Trust; Metacognition is a Way Forward cites this paper.

Hallucinations Undermine Trust; Metacognition is a Way Forward Are Reasoning Models More Prone to Hallucination?

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:56:07.176649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2504cb78-6ca1-4f22-acb6-21ed89de941e · inbound

Evaluating Reasoning Models for Queries with Presuppositions cites this paper.

Evaluating Reasoning Models for Queries with Presuppositions Are Reasoning Models More Prone to Hallucination?

Reference 7

Resolution: malformed identifier; arxiv_id, observed 2026-05-09T06:20:41.972090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b9742955-5b8b-46e9-a93a-aa4885be5a1d · inbound

Better Accuracies, Worse Reasoning: A Step-Level Audit of Medical Chain-of-Thought Distillation cites this paper.

Better Accuracies, Worse Reasoning: A Step-Level Audit of Medical Chain-of-Thought Distillation Are Reasoning Models More Prone to Hallucination?

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:03:26.587768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 19f04b23-eba5-4293-a7d0-3b07fc25ec0c · inbound

Enhancing LLM Metacognition via Cognitive Pairwise Training cites this paper.

Enhancing LLM Metacognition via Cognitive Pairwise Training Are Reasoning Models More Prone to Hallucination?

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:02:33.919996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 965f2cd2-5d36-4710-9627-2afc8ea65394 · inbound

Proxy Reward Internalization and Mechanistic Exploitation: A Learned Precursor to Reward Hacking and Its Generalization cites this paper.

Proxy Reward Internalization and Mechanistic Exploitation: A Learned Precursor to Reward Hacking and Its Generalization Are Reasoning Models More Prone to Hallucination?

Reference 174

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T01:37:30.555820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2d016cd4-6b3b-4e58-b145-e291fe739942 · inbound

CheckRLM: Effective Knowledge-Thought Coherence Checking in Retrieval-Augmented Reasoning cites this paper.

CheckRLM: Effective Knowledge-Thought Coherence Checking in Retrieval-Augmented Reasoning Are Reasoning Models More Prone to Hallucination?

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:28:31.099163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5d2ff7b9-f1d2-465b-bcd3-d1115e9ac8f4 · inbound

Mitigating Factual Hallucination in Large Reasoning Models via Mixed-Mode Advantage Regularization cites this paper.

Mitigating Factual Hallucination in Large Reasoning Models via Mixed-Mode Advantage Regularization Are Reasoning Models More Prone to Hallucination?

Reference 20

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T22:25:39.514165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8edf9088-37b5-46e0-baac-89efd84421d0 · inbound

Different Teachers, Different Capabilities: Sub-1B On-Device Distillation for Structured Text Enrichment cites this paper.

Different Teachers, Different Capabilities: Sub-1B On-Device Distillation for Structured Text Enrichment Are Reasoning Models More Prone to Hallucination?

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-07-10T10:27:02.394320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 915d4965-0699-44e7-a84b-74a7ef59f8f4 · inbound

Reasoning Error from Known Fact: Step-Level Self-Consistency Group Relative Policy Optimization for LLM cites this paper.

Reasoning Error from Known Fact: Step-Level Self-Consistency Group Relative Policy Optimization for LLM Are Reasoning Models More Prone to Hallucination?

Reference 6

Resolution: malformed identifier; no resolver link, observed 2026-08-01T14:01:27.035947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models cites this paper.

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

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-01T05:52:44.046869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af72fec2-53b4-4675-a088-0530417934f5 · inbound

REIN: Bridging the Gap between Reasoning and Reliability via Reflection and Abstention Alignment cites this paper.

REIN: Bridging the Gap between Reasoning and Reliability via Reflection and Abstention Alignment Are Reasoning Models More Prone to Hallucination?

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T00:45:42.564555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.