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Paper Citation Record · LEDGER

Unsupervised Hallucination Detection by Inspecting Reasoning Processes

As of 8 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2509.10004.

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

pith.paper-citation-record.v1
2509.10004 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:25:37.436419Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

49 of 49 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved48
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 35c39ccc-ee01-40fc-8094-d1a3f54589da · outbound

This paper cites GPT-4 Technical Report.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes GPT-4 Technical Report

Reference 1

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source=arxiv_source observed=2026-08-04T18:25:37.313309Z digest=sha256:a84ff0b13c41be4cc3d825327c961c789282696055fb0d2ceaa5ae7234f5a2c0

Observation b9f63d85-229a-444a-aad2-0973252c4a0c · outbound

This paper cites The Internal State of an LLM Knows When It's Lying.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes The Internal State of an LLM Knows When It's Lying

Reference 2

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source=arxiv_source observed=2026-08-04T18:25:37.316676Z digest=sha256:f886a4528628a52af414515cb3ded4eed66db30756a055f3278557c99ffffd18

Observation 8be0d901-3bbc-422d-aebb-564b5af7cd0c · outbound

This paper cites an unresolved cited work.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Unresolved cited work

Reference 3

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source=arxiv_source observed=2026-08-04T18:25:37.319114Z digest=sha256:786eb79ee56e44397af602e52f777e5e8bd2ecdf4a8fd49cd87c19511b3b763b

Observation 737f2084-1b16-47e0-85e0-155f7b7506aa · outbound

This paper cites Discovering Latent Knowledge in Language Models Without Supervision.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Discovering Latent Knowledge in Language Models Without Supervision

Reference 4

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source=arxiv_source observed=2026-08-04T18:25:37.321564Z digest=sha256:166f6009bbff1c4ce24b715d6d231cd786da9bc677de93356b1632bf00a2e426

Observation be56afd8-a93e-4729-8b1b-d7e56b316f85 · outbound

This paper cites INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection

Reference 5

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source=arxiv_source observed=2026-08-04T18:25:37.324899Z digest=sha256:a9814a0118dc49ef5c29d285f8b3120a51fa54d1d98fda254ff9147e14b39510

Observation fb39574a-5586-4e9c-a451-427385a32141 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Training Verifiers to Solve Math Word Problems

Reference 6

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source=arxiv_source observed=2026-08-04T18:25:37.327409Z digest=sha256:dac762f385f43641699bde46198dd986a81d42f334db2e6a3f8e5e66943352e6

Observation 72550546-99d3-43e9-8b73-8acd30903364 · outbound

This paper cites an unresolved cited work.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Unresolved cited work

Reference 7

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source=arxiv_source observed=2026-08-04T18:25:37.330197Z digest=sha256:2f72e6ac839134fdcc2a619ff451658ab3d86710d6c68bd95bcedf61250bab8c

Observation e1baf8b1-648a-4ad7-8800-a2793e56f74f · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes PaLM-E: An Embodied Multimodal Language Model

Reference 8

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source=arxiv_source observed=2026-08-04T18:25:37.332342Z digest=sha256:5bbefc188a9a2db13eb9b06daaa46d8ca32145fffed374e0c8a8d86d28ff58a7

Observation 8810b151-9153-4a96-9cf1-b5db68109979 · outbound

This paper cites an unresolved cited work.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Unresolved cited work

Reference 9

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source=arxiv_source observed=2026-08-04T18:25:37.335138Z digest=sha256:d55c3914e3d29a67c9929a6943a3497b0d529a225d65589b42f7f61189e73af8

Observation 22cb0807-07a5-4404-9d10-201ceedf4838 · outbound

This paper cites The Llama 3 Herd of Models.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes The Llama 3 Herd of Models

Reference 10

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source=arxiv_source observed=2026-08-04T18:25:37.338108Z digest=sha256:a3b300f04172e51c80065faade10af94aa10ccfc4e2c8a53eda7da9f2368684a

Observation 367aaa22-ca93-447a-ada6-5265a2388e8d · outbound

This paper cites an unresolved cited work.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Unresolved cited work

Reference 11

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source=arxiv_source observed=2026-08-04T18:25:37.340539Z digest=sha256:f7dfe8a5bdb2263068e74e6155eaaf40b5774f32bd12d320b02f0d029374487e

Observation 25873bea-b6df-43b4-8fc5-b8e015fe32dc · outbound

This paper cites LM-Polygraph: Uncertainty Estimation for Language Models.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes LM-Polygraph: Uncertainty Estimation for Language Models

Reference 12

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Observation de276d83-5949-401b-acdb-b3efa4d2b51b · outbound

This paper cites GPTScore: Evaluate as You Desire.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes GPTScore: Evaluate as You Desire

Reference 13

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source=arxiv_source observed=2026-08-04T18:25:37.347013Z digest=sha256:51dd3dc3b7deaf0540c4dd3d14afff628c3f38d85437bd1f18f5ea9827da603a

Observation b9d33c01-fbc0-49f4-ba05-3acb7d940bb5 · outbound

This paper cites an unresolved cited work.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Unresolved cited work

Reference 14

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source=arxiv_source observed=2026-08-04T18:25:37.350005Z digest=sha256:c85f76c503524730f9d8fa4d1c9ac78a45da0f97952cb338a9dcb80f7aada036

Observation ee820fa1-2f75-45f1-886e-3f0dca6552cb · outbound

This paper cites an unresolved cited work.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Unresolved cited work

Reference 15

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source=arxiv_source observed=2026-08-04T18:25:37.352868Z digest=sha256:1cf0874d351563008e264fc28c2eb8814b619d6f3136d73ee89b0cd1780906bb

Observation 12552ecb-57c5-4397-9bf8-8c495753f0fa · outbound

This paper cites Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

Reference 16

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source=arxiv_source observed=2026-08-04T18:25:37.355400Z digest=sha256:cd899ba96b24477f48ebcd5fa24ed21d14ec2931df425329ff141f4adea31f66

Observation cf69b318-8183-4d8f-96b0-66ec62c85f26 · outbound

This paper cites an unresolved cited work.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Unresolved cited work

Reference 17

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source=arxiv_source observed=2026-08-04T18:25:37.357660Z digest=sha256:bc294f4c89ef22eb308c62da28dd65c77a3c17872c89d41be39e89f4c4b3bc22

Observation 18583b4e-062f-48ff-b65e-90f89c92154a · outbound

This paper cites an unresolved cited work.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Unresolved cited work

Reference 18

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source=arxiv_source observed=2026-08-04T18:25:37.359661Z digest=sha256:072edd44cb9d682cf74cd443473f5b84ec3251b78174642c217cb82e506e75a7

Observation b083b523-d29d-4fc0-967a-960f6cee68c1 · outbound

This paper cites an unresolved cited work.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Unresolved cited work

Reference 19

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source=arxiv_source observed=2026-08-04T18:25:37.362780Z digest=sha256:d8792dfa6dfa4daacc83d953cb1807d5b47c6b772fc4a89dc821e91e0b08f388

Observation 0bd3209a-4940-48a5-aba3-31dd0e183f0a · outbound

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

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models

Reference 20

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source=arxiv_source observed=2026-08-04T18:25:37.365378Z digest=sha256:c54b5fca1b4b42d69dc795ca38a0bc74de23eaf155d77d1f920c31589138b829

Observation 3383d49b-5420-43b4-9aa0-32cc84682d00 · outbound

This paper cites an unresolved cited work.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Unresolved cited work

Reference 21

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source=arxiv_source observed=2026-08-04T18:25:37.367706Z digest=sha256:f9d6d435ceb922f1b8b7d6e7f674e78cabf5aabe0af1a438f8e2b7c8210b5737

Observation e81f919d-ce04-42b0-a3f8-7d76a9303184 · outbound

This paper cites SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

Reference 22

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source=arxiv_source observed=2026-08-04T18:25:37.369844Z digest=sha256:7a37d0889738b3a66273c99ddcfb59f3367521f2c24d1bb3d4850ae12bc77bdc

Observation f5c1bdf8-a0a6-4fee-9701-26d6c71c2677 · outbound

This paper cites FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

Reference 23

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source=arxiv_source observed=2026-08-04T18:25:37.372131Z digest=sha256:549cb5624e194cf762e02d95abcc278f4d31a44faf34c6e68244b4b16d84bc06

Observation b1e40b15-6630-4fd3-be83-f648f93f7266 · outbound

This paper cites an unresolved cited work.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Unresolved cited work

Reference 24

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source=arxiv_source observed=2026-08-04T18:25:37.375116Z digest=sha256:b1ad3365433a68a90b9323f48a2fbb1260bd265177b51f53f96e6c508d0609fd

Observation a4b9216c-2372-4148-a4d7-ff3c8ff0f729 · outbound

This paper cites Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

Reference 25

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source=arxiv_source observed=2026-08-04T18:25:37.377440Z digest=sha256:490284bfd2f557f34f76ee6ff98364d3c61213ea65f381dddf226c6997066a8b

Observation 3a7a156f-dd3b-4a17-8d28-20a714521fbf · outbound

This paper cites an unresolved cited work.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Unresolved cited work

Reference 26

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source=arxiv_source observed=2026-08-04T18:25:37.379770Z digest=sha256:29bf5f31b8eca615cdffa03610e0f994c6b811fc2c3f0de6bc576218a946ee7a

Observation 142f0695-4db9-498c-b8e0-ddf7d7b57f27 · outbound

This paper cites Training Deep Neural Networks on Noisy Labels with Bootstrapping.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Training Deep Neural Networks on Noisy Labels with Bootstrapping

Reference 27

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source=arxiv_source observed=2026-08-04T18:25:37.382318Z digest=sha256:0c1b052b73df0220f52ed05ce824fab4b7346465bea7671351033ce26e5fd699

Observation 56f1fd65-40fd-4754-86c3-612c0eb7813d · outbound

This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 28

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source=arxiv_source observed=2026-08-04T18:25:37.385055Z digest=sha256:31f223c617566f80238aea8f0a77a92f48d9675e94fa22ebb0e1222011e69515

Observation d646a580-4b84-4df0-a312-473b436ceb9b · outbound

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

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Self-critiquing models for assisting human evaluators

Reference 29

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source=arxiv_source observed=2026-08-04T18:25:37.388337Z digest=sha256:e8e1349bc615f57f877e23a514cc553fc025132d1dbd4b5881aacc9447ba8cf2

Observation a7e9704f-82f6-41c0-b972-bb79ac355beb · outbound

This paper cites Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models

Reference 30

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source=arxiv_source observed=2026-08-04T18:25:37.390857Z digest=sha256:4d18be33602d6a318f46774112b59d7087d097fad0c5e6c168056a2ba1a35899

Observation 6af8266c-4bf5-4722-9483-fc653b770f7d · outbound

This paper cites Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 31

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source=arxiv_source observed=2026-08-04T18:25:37.393238Z digest=sha256:1575191c3f58f7c650cc8b35525acaf7b3d5a71d36091a8534e565fb736a29b6

Observation d8c8b0ab-365a-4721-b9a3-be03e1b8e26a · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 32

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source=arxiv_source observed=2026-08-04T18:25:37.395439Z digest=sha256:3f21355727beba941b6511ba5e3bda440ca385395cf208a36954c1d87e1ccf73

Observation 16bdd560-2b56-4f63-843a-11b340eb77c9 · outbound

This paper cites an unresolved cited work.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Unresolved cited work

Reference 33

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source=arxiv_source observed=2026-08-04T18:25:37.397588Z digest=sha256:821bd68483b250e88d75c9dec4eb8226c91ecf68551e7e274152bd5826106cc6

Observation 60f2fd52-ff00-4b2e-8a5f-7777d4228231 · outbound

This paper cites an unresolved cited work.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Unresolved cited work

Reference 34

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source=arxiv_source observed=2026-08-04T18:25:37.399595Z digest=sha256:e5124ab2acb2f2e07c31a1e32e9074ccec9dfb43e4e55448f67476a5c574d5e8

Observation b510a387-15ed-47a1-88a6-b57b83f83285 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 35

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source=arxiv_source observed=2026-08-04T18:25:37.402269Z digest=sha256:948bb413e9a0ef88772178c6c423cb69087cfdd4209527857d7585de39623465

Observation f1c50e38-643a-4b2d-923d-5ec5c9045088 · outbound

This paper cites an unresolved cited work.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Unresolved cited work

Reference 36

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source=arxiv_source observed=2026-08-04T18:25:37.404396Z digest=sha256:cf22afcf33310b392477c267dfbb39ddd559c9f557d82913d9b8973a04456e0e

Observation 1026233f-fd3e-4ac8-9e46-19ca6780313a · outbound

This paper cites an unresolved cited work.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Unresolved cited work

Reference 37

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source=arxiv_source observed=2026-08-04T18:25:37.406443Z digest=sha256:4d35ef0411dbbfe4d3e490d75e0f01d7480e2cd602356fb356642105559c83c6

Observation fc378cd4-d001-44b5-98fd-4880a08afbb8 · outbound

This paper cites Sailing by the Stars: A Survey on Reward Models and Learning Strategies for Learning from Rewards.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Sailing by the Stars: A Survey on Reward Models and Learning Strategies for Learning from Rewards

Reference 38

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source=arxiv_source observed=2026-08-04T18:25:37.408457Z digest=sha256:d1d0f0f97e9e4224a83de86490520493ac61259f7e95ac486c0c781c2698b552

Observation 9940b2c3-48de-4215-a3bd-7b8273dd8834 · outbound

This paper cites Effective Neural Topic Modeling with Embedding Clustering Regularization.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Effective Neural Topic Modeling with Embedding Clustering Regularization

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d1c4f202-07ac-4125-beae-82a69d0f4a24 · outbound

This paper cites an unresolved cited work.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Unresolved cited work

Reference 40

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 108452e8-186e-49ea-a2b0-630595563ee1 · outbound

This paper cites an unresolved cited work.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-04T18:25:37.416857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6c70ee03-72c1-4c6c-a797-bc1bd4faa81d · outbound

This paper cites an unresolved cited work.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-04T18:25:37.418967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2914fcd0-1bb7-4891-8466-c0ab429a039d · outbound

This paper cites AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-04T18:25:37.421225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:25:37.421225Z digest=sha256:b8f6cdbddb1f9adf25ef2c44df19f6091c505f6968098d8b250ce4644a8ed1c9

Observation 0c422acd-e7d4-467d-a261-088fdaed0162 · outbound

This paper cites Qwen2.5 Technical Report.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Qwen2.5 Technical Report

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-04T18:25:37.423768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:25:37.423768Z digest=sha256:427c69535355c57ff269ee9f9d24c65aea0e70bf4aaddd038a28dd7094bbaf8d

Observation 5390b525-7511-46bc-8ecc-6e1f708a4273 · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-04T18:25:37.426268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1e352a7a-67da-4696-83c5-0eec9c0789cf · outbound

This paper cites Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-04T18:25:37.429018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 24e0d3ab-98ed-4f46-b8fb-fd3a51da426e · outbound

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

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-04T18:25:37.431247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:25:37.431247Z digest=sha256:cccfc40bfe2a4942ba3162eeb1f7ca27bf48ade246d743b57c2299cf2da76123

Observation fd261fe9-bd5a-4827-95e7-ddbcea66d00d · outbound

This paper cites online" 'onlinestring :=.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes online" 'onlinestring :=

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-04T18:25:37.433500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:25:37.433500Z digest=sha256:3da7ddb4b108e029246309b3fe8673efdc508ed0213d7ea387158ada842a3cf7

Observation cb048b93-7729-4d7d-ad3d-f06f3cb607eb · outbound

This paper cites write newline.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes write newline

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-04T18:25:37.436419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:25:37.436419Z digest=sha256:c460921e7ba675869e42fc556538a7aa0aae06e6c4591fdc5d114db3ccdf4022

Pith citing papers

No inbound Pith citation observations are available.