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Paper Citation Record · LEDGER

Unsupervised Hallucination Detection by Inspecting Reasoning Processes

As of 21 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 2026-08-21T06:32:19.484+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=sha256:82d102382b6a9a9bd8faa2093b56ab47675244448d87e4fe18837d1a4b22ca8d

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:e74b82ffa17478245b7f2b4c053248ae804ccaa4f8df435c8f2ae91da6b5fbf7

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=sha256:7e6ccd5797820fb9e5109282d27e40d4c1e7c404b76432b3ceb5801d6bf6e265

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=sha256:3b6789026b3b9a91a06b307c62e3927d99f4c7196229fc8186f9a266b19b496c

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=sha256:8cc1c0d7ec18c5d7fbae452639d7a11ae5615bd10625332e157ce6767be6d64a

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=sha256:0c7c556c056b7fbae562d0f81552a607be408832eba16b084aa6d4d1b22bc7ab

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:c7130434393e2b84809d05aea727665bc069558a4c433638807a76278e80eb0d

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:ebc990d91ea4b8ed72150c3c711577e494b202715d850c5f477f45832d1361c2

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:d2578cc4c70b4c2f99fa63620e34ac9ba46c818a66cb1dce136a4c80a3fdb46a

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=sha256:884cba73d46ad32f55a4ca78733296a81c41f2ba87a2044b7901d145600ffd2d

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:ff9d6c4537d78fb24ec1903d8c01f51ae6fcdd31c6d9cf35e867e8030099f5fd

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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source=arxiv_source observed=2026-08-04T18:25:37.344037Z digest=sha256:fc3cc185323ecb3950ca95b543ca4bcd22b2181b71e4ca8736761acfd946382b

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=sha256:735b76e5985122d9d0260b450b42ed27e26a85875aaf0d7edcb00a1df810d3ac

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:a652f2840f8f9bc6313f6c078eacaeb47156602ef612864a7a08f1dd185acd9a

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=sha256:2a079e73e5c864313564bb66d6ea3e75b692703d24d4ff1c395041be7d5a7eca

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=sha256:0ed61768636d79e141796fc97fa229ab73ffb54879c00e4865aaacfbe16ddc8b

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:f9403a38ab723879ae26f9b5de0c40398e583881639ac83b5233ec88b5981f5a

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=sha256:76fb141a3d8b5aca36cd6140b099935ddb327653d5f492fc2ff6cc65ffc64307

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=sha256:975672b4d72778302968cb0320656ab9cc0b6c0e09d19a378daf92f6cc14603d

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=sha256:9273731098fd934b679f5b1f36d0ba8ac87899f4f0b5fe6d6999c708a8d41064

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=sha256:1b01585615b72ab317a5339a499d4700df06093753592888859bcb6106f39fc7

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:afa1ab77b952b6dc7df2f3f63ec5b2280c11aaa546e1acf3b6148c51f680cca0

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=sha256:86571b408f9d5b66e1885a7d5ac514d2c013d48cfacdb0e6d47d53817dd0086e

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:c2f27e615978b2ba9cfc3d916f9474270a57287cf0527a85eb171a5a5c352abe

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:a20d5aa6b8a1fcf9ca256f2eb87cd6648e9a2f650c8df703f82e25307dd8f62e

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:c35038042547d5cfa7b8783c5f64b503f0130335ec7acabd104e4a1228fdfd0f

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=sha256:80a1f1009a208a2f0948c02c0bb71028ede55a7547be3471378d0a32a0e931f0

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=sha256:556de758543538b3fadb529b1408619b46660417c8a84852b70d320a069ead99

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=sha256:2fd7428c552b4595d076ae004c8e61dd7509286e52cfce46386cfb6ee287151f

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=sha256:9c632650472ee346c11d462153147a81615782d35d57d25e010cf87ff272d570

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:e57ef06b6d87b76a9aec224dc61e37e07316b62e3a26d5232823a7a227fe9b28

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=sha256:71701924f0199601584fbad6a27ea4d7021e3ba65a5fa4bca00256d14df209d8

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=sha256:2d4f29f6f25afb541efc471154d99f784f0aa52c7103f78ca9da38d27c006433

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=sha256:7960ff327565a73301d6803a34e13792b9f828b79257c29ba57e97d2bfb9acca

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=sha256:2b2e83bc6a37919c9691a16d315b8a917e1860d4804751bf4bf6843ac2dd7234

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=sha256:1328a7043748c6aa0f56e2ae46a2ab508da5c454486b23db5858e99d138e3e76

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:ddbd26b8cf22742a1556b746f6ea63bc0dff52c1677e1f39b459229d241d0a6f

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=sha256:1f39ef509ad5e25031aacf72596ca698062f5e486aa1208932ce4931ae9fb019

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 2026-08-21T06:32:19.484+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=sha256:8a81f2a83ac830ecac49f91af2816fdfa96e0b673a560846467046c1afd9e001

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:c09b73b90e2fe789fc81c908f20ccda42d1ab161e09954d05e55cdf217917e1f

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.

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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.

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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=sha256:8c13f1657989875c1b20d67d6d41ac0ef0572ae83db21da72b62f591dd3bab61

Pith citing papers

No inbound Pith citation observations are available.