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Paper Citation Record · LEDGER

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping

As of 6 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2601.17467.

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

pith.paper-citation-record.v1
2601.17467 v3

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-16T11:13:17.178998Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

47 of 47 outbound references displayed

  • verified exact11
  • verified fuzzy31
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 90e5267c-d618-49fe-b80a-743498eba01d · outbound

This paper cites Unraveling hallucination in large reasoning models: A topological perspective.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Unraveling hallucination in large reasoning models: A topological perspective

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 4b93c380-362b-40cc-ba0b-bf97fd2acbfa · outbound

This paper cites The internal state of an LLM knows when it’s lying.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping The internal state of an LLM knows when it’s lying

Reference 2

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raw_fallback, observed 2026-05-16T11:17:48.127109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation c2915ae9-c75b-46d8-b38c-82e0111a2340 · outbound

This paper cites Discovering latent knowledge in language models without supervision.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Discovering latent knowledge in language models without supervision

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation e463cd78-2027-406c-8f26-bc3ab36c9379 · outbound

This paper cites INSIDE: LLMs’ internal states retain the power of hallucination detection.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping INSIDE: LLMs’ internal states retain the power of hallucination detection

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation e8349387-8d49-409b-866a-4268910b555d · outbound

This paper cites LLM-based multi-hop question answering with knowledge graph integration in evolving environments.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping LLM-based multi-hop question answering with knowledge graph integration in evolving environments

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation e39d61a9-703d-403d-8ba1-b3f49baf63a5 · outbound

This paper cites Hallucination detection: Robustly discerning reliable answers in large language models.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Hallucination detection: Robustly discerning reliable answers in large language models

Reference 6

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verified fuzzy
raw_fallback, observed 2026-05-16T11:17:48.136071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation a942bfc0-665a-4857-8733-b0e7ac0768b4 · outbound

This paper cites Chain-of- thought prompting obscures hallucination cues in large language models: An empirical evaluation.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Chain-of- thought prompting obscures hallucination cues in large language models: An empirical evaluation

Reference 7

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arxiv_id, observed 2026-05-16T11:17:47.226451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation bcca5833-38fd-4e61-b88a-9e695bdfdecb · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Training Verifiers to Solve Math Word Problems

Reference 8

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verified exact
local_arxiv, observed 2026-05-16T11:17:47.216865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:9e7812f4786113e625652b7fb16cab51fb4429a4b466b492e3b3b0bcc62e6f9b

Observation 99503167-f2a8-4fcf-a3d9-21506e4629aa · outbound

This paper cites BERT: Pre-training of deep bidirectional transformers for language understanding.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping BERT: Pre-training of deep bidirectional transformers for language understanding

Reference 9

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verified fuzzy
raw_fallback, observed 2026-05-16T11:17:48.155493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:4fcbd5750d5ef23788afb66964d75bb8fc8ed540da6b9d9a0a9bd8c8e37cd777

Observation f27f1968-8919-4fe5-a017-60f9e74dbe6a · outbound

This paper cites Haloscope: Harnessing unlabeled llm generations for hallucination detection.Advances in Neural Information Processing Systems, 37:102948–102972.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Haloscope: Harnessing unlabeled llm generations for hallucination detection.Advances in Neural Information Processing Systems, 37:102948–102972

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation f6aa55ab-2b09-4f48-8bc2-7fa6987def71 · outbound

This paper cites Shifting attention to relevance: Towards the predictive uncertainty quantification of free-form large language models.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Shifting attention to relevance: Towards the predictive uncertainty quantification of free-form large language models

Reference 11

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verified fuzzy
raw_fallback, observed 2026-05-16T11:17:48.148962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 13fb767f-8480-4c19-9d0b-1fc3ea70d1ce · outbound

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

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-16T11:17:47.235810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation c936290f-7331-4236-9534-a665e14e54c0 · outbound

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

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Measuring Mathematical Problem Solving With the MATH Dataset

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-16T11:17:47.229455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:4d3388ccdf385e9f228ed0efbb314c17fdfedc44f2d281804fa7998c5af362b7

Observation 0738cf26-4a9c-4838-a196-cfd487343b55 · outbound

This paper cites T1: Advancing language model reasoning through reinforcement learning and inference scaling.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping T1: Advancing language model reasoning through reinforcement learning and inference scaling

Reference 14

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verified fuzzy
raw_fallback, observed 2026-05-16T11:17:48.153475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:a71105ae8a340cc46bb43447b1f8b3ebdc2e2e3db9e54320b9aec406eb9b78b4

Observation 293ea126-e369-4e4d-9386-b1969f383da6 · outbound

This paper cites Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning

Reference 15

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verified exact
arxiv_id, observed 2026-05-19T01:01:10.910011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 9c15f67b-489e-44de-ab23-c5464e4d76d8 · outbound

This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions.ACM Transactions on Information Systems, 43(2):1–55.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions.ACM Transactions on Information Systems, 43(2):1–55

Reference 16

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raw_fallback, observed 2026-05-16T11:17:48.157856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:500fd231f7836343b69d5fcf1ce3986f8f1f09c55974bb6040132d11f8c9e32b

Observation ea18ebe3-8677-4a8d-ab1a-a011ffbd5eca · outbound

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

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Triviaqa: A large scale distantly supervised challenge dataset for reading comprehension

Reference 17

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verified fuzzy
raw_fallback, observed 2026-05-16T11:17:48.160299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:40bfedc6ee4bee3563051a1fb6bc67264abc4b65c476da635fb4318986eb5419

Observation cfba7a34-077a-45df-8e34-24e29f897c3a · outbound

This paper cites Semantic uncertainty: Linguistic invariances for uncertainty estimation in natural language generation.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Semantic uncertainty: Linguistic invariances for uncertainty estimation in natural language generation

Reference 18

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verified fuzzy
raw_fallback, observed 2026-05-16T11:17:48.110797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:3188a2f6872f8f183f5af859e794fef7aef9f79f0c028ac79f0d9d7080678a97

Observation 98fea957-ce40-46a8-baba-d15a7bfcb413 · outbound

This paper cites Let’s verify step by step.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Let’s verify step by step

Reference 19

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raw_fallback, observed 2026-05-16T11:17:48.133791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:4210dcbb0d59ef223c0230569fa6c766f56e3f0e78437952d981ded2925bb5bd

Observation 73026b69-534f-4258-a5af-27e3235d549a · outbound

This paper cites Teaching models to express their uncertainty in words.Transactions on Machine Learning Research.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Teaching models to express their uncertainty in words.Transactions on Machine Learning Research

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 28cfd709-3196-42a3-97e7-1d25924c29c6 · outbound

This paper cites Truthfulqa: Measuring how models mimic human falsehoods.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Truthfulqa: Measuring how models mimic human falsehoods

Reference 21

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raw_fallback, observed 2026-05-16T11:17:48.124544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation ce7e7610-fc92-47cb-a1c7-d5b8ed012659 · outbound

This paper cites Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models

Reference 22

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verified exact
arxiv_id, observed 2026-05-16T11:17:47.220332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 9d26443b-a5d7-43d5-9650-2fdc4142fc27 · outbound

This paper cites Streaming hallucination detection in long chain-of-thought reasoning.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Streaming hallucination detection in long chain-of-thought reasoning

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-16T11:17:47.239438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:9dc7808816b02cb6f8278c98288294412675bf1b90cdaf70759c00bab6b2df02

Observation 64f9d873-7d68-462d-b804-243d561e0f1b · outbound

This paper cites Uncertainty estimation in autoregressive structured prediction.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Uncertainty estimation in autoregressive structured prediction

Reference 24

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raw_fallback, observed 2026-05-16T11:17:48.138090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation a22317f6-259e-4686-9d3f-aa61917bec86 · outbound

This paper cites Selfcheckgpt: Zero-resource black-box hallucination detection for generative large language models.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Selfcheckgpt: Zero-resource black-box hallucination detection for generative large language models

Reference 25

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verified fuzzy
raw_fallback, observed 2026-05-16T11:17:48.146839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 8c577250-d93d-4708-81cb-40a45ae02052 · outbound

This paper cites Self-contradictory hallucinations of large language models: Evaluation, detection and mitigation.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Self-contradictory hallucinations of large language models: Evaluation, detection and mitigation

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T11:17:48.092067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:f9bd71a6ca0888743a4cd9af6385c5578bfece0364e7b837ab5ad666bf2739f3

Observation 4a58a500-429f-485e-8a8b-186e8b95684f · outbound

This paper cites How to steer LLM latents for hallucination detection? InInternational Conference on Machine Learning.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping How to steer LLM latents for hallucination detection? InInternational Conference on Machine Learning

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T11:17:48.087867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:d1c1d9f91b38decb57cc416bce14d825eaed597719a90e7cc45c642fcf6495db

Observation 18075f1c-74a3-476c-823d-d188b498ae3f · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.Advances in neural information processing systems, 32.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Pytorch: An imperative style, high-performance deep learning library.Advances in neural information processing systems, 32

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T11:17:48.129241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:928fa84940a9e2091b3f4ef9ab5fc3ca5e20ba44c089ec7cd02d39452c54b908

Observation 6eaea48a-679f-403a-b1de-25d0c1528d7d · outbound

This paper cites ToolLLM: Facilitating large language models to master 16000+ real-world apis.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping ToolLLM: Facilitating large language models to master 16000+ real-world apis

Reference 29

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raw_fallback, observed 2026-05-16T11:17:48.095982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:a72b5b929f047e9e4cb9b97676ff9a2b3b07e541bad2fd4f32e51a2d51c44e3c

Observation c91a3b2e-1b18-4936-a349-a91512d12754 · outbound

This paper cites Out-of-distribution detection and selective generation for conditional language models.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Out-of-distribution detection and selective generation for conditional language models

Reference 30

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verified fuzzy
raw_fallback, observed 2026-05-16T11:17:48.120047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:2f8db9565b43ca47ca8765ad8065c32c4c0d0933fb25bf20b6b3ced02b8142ed

Observation 1b48a11f-06da-4d33-92c7-e78a69dc9596 · outbound

This paper cites I Can’t Believe It’s Not Better: Failure Modes in the Age of Foundation Models.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping I Can’t Believe It’s Not Better: Failure Modes in the Age of Foundation Models

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T11:17:48.094087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:19d9ea48b18ed7bd370011b97224af1ab1d9735e903777e73c39bb462dcc045b

Observation 8465ccdc-2b24-4a6b-b37e-ccbe53bf9c7d · outbound

This paper cites Bleurt: Learning robust metrics for text generation.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Bleurt: Learning robust metrics for text generation

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T11:17:48.090015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:a66e9c236d685988c8af9d6840e93b8723f556c8d0c5ae8dd930effbb8021303

Observation cc951be5-8e97-4f70-8f94-84917cac08fe · outbound

This paper cites LLM-check: Investigating detection of hallucinations in large language models.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping LLM-check: Investigating detection of hallucinations in large language models

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T11:17:48.114953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:4df4e4ae3aaeca4db5f87017624fcf1b808899826573176c601ca0bd05bc6461

Observation f90d7f25-b5b0-4e22-a9b1-e6502364a0f9 · outbound

This paper cites Unsupervised real- time hallucination detection based on the internal states of large language models.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Unsupervised real- time hallucination detection based on the internal states of large language models

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T11:17:48.112930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:0cb51bf65b6bf6c8130fa78f734ec882beb906247d6a26c2df58c3e92fe1b3fc

Observation b77cf013-9995-44dd-9377-a092a751c29f · outbound

This paper cites Detection and Mitigation of Hallucination in Large Reasoning Models: A Mechanistic Perspective.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Detection and Mitigation of Hallucination in Large Reasoning Models: A Mechanistic Perspective

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-16T11:17:47.249388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:0444366854018693ae000f08451f417f7b1e2e3e7f54c7341c9a2e693b026934

Observation 95eadcaa-a9bc-4e11-a965-d229adc126e2 · outbound

This paper cites Joint evaluation of answer and reasoning consistency for hallucination detection in large reasoning models.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Joint evaluation of answer and reasoning consistency for hallucination detection in large reasoning models

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-16T11:17:47.223362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:dc814054fa8c44c78784cdbcd35620fc6e85d4b7c5e6754ebb8995ef1302503b

Observation 950cff2e-e3b5-4ce5-9399-c17aa905bf47 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T11:17:48.142517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:aa370b942f872f6b77c422f7dbc8f4308f1e821aa54ad7cdf414224195675556

Observation ac9157a3-24e6-4c44-962f-aa536649b2ec · outbound

This paper cites Can LLMs express their uncertainty? an empirical evaluation of confidence elicitation in LLMs.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Can LLMs express their uncertainty? an empirical evaluation of confidence elicitation in LLMs

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T11:17:48.101823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:1a771e08baeae36266bbf29d5eacd204d8a9f17eaba7a9377b79b9adfb08a06f

Observation ad23e62f-99ef-4d2b-9945-237dd170d613 · outbound

This paper cites Qwen3 Technical Report.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Qwen3 Technical Report

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-16T11:17:47.232730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:3394a5e65b8c21d81702035437189baf0027ee97264f896fe579cef8a509c7ac

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

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

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:518632ffeea9f9dcb05355c5c65f7f56d04a0c8ec27e2e5c3f9aebb224fb1cbc

Observation 74d8e6d3-f829-442a-992e-d92984e8f4f2 · outbound

This paper cites Siren’s song in the ai ocean: A survey on hallucination in large language models.Computational Linguistics, pages 1–46.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Siren’s song in the ai ocean: A survey on hallucination in large language models.Computational Linguistics, pages 1–46

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T11:17:48.162508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:1173c559b4accfb67202eff8ba6b96c93f50645e2279174ca7525fb3edb9eb9b

Observation 51a1c791-3ea5-4277-8ca0-a5e1a284013f · outbound

This paper cites CORRECT".

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping CORRECT"

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T11:17:48.099810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:c17be62e3259be6e133d29cabc6118483bb55c4c535feba263483238c4da262e

Observation 53cc4a62-409f-48ab-b324-3105f0ac1d55 · outbound

This paper cites an unresolved cited work.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-05-16T11:17:48.103714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:652e5363c9b6e83963456bd24fe55877ca35743c0d7acb7a95fcbfb15ea04324

Observation 241110c3-e751-4834-bf2d-ec195df238b1 · outbound

This paper cites an unresolved cited work.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-05-16T11:17:48.117605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:48ffd2d86a716fafece99017f17fd34dcbc2c6b7b5a8f93a2f9fb7e106a67719

Observation 0fc7185b-8436-4de0-a509-5565b9dc69dc · outbound

This paper cites an unresolved cited work.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-05-16T11:17:48.144474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:9c1933c2479d30f7c013abf574a9b18e877d5f00cbca54bc7097557207ed26f0

Observation 74f5ece1-2067-413f-bc25-3ce37663a27a · outbound

This paper cites an unresolved cited work.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-05-16T11:17:48.105975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:06915ba72f3fa6dd3b67a001df9362841ef0c48c5a9fbc84dee69f3aba9e3573

Observation a85ff560-3f39-4b7b-8f44-97d219838b69 · outbound

This paper cites Yes" or.

Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Yes" or

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-16T11:17:47.246063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T11:13:17.178998Z digest=sha256:708bae520a7c2a09eefb2e3c6fd75d3e56e5279c792e6e221c0b3ef8125c1791

Pith citing papers

No inbound Pith citation observations are available.