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Paper Citation Record · LEDGER

Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2305.15852.

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

pith.paper-citation-record.v1
2305.15852 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:44:22.150186Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T21:26:16.392205Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7facd0a0-3b86-4c5d-ba8d-8f3461067e5c · inbound

DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models cites this paper.

DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-16T13:21:24.346839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-16T13:21:24.297836Z digest=sha256:379335ac9383d0cbbd86fa7231f2842eb4a1c6e83e1ebc6150686f9c10cb7b2f

Observation 62ef91e2-aee3-46a4-be6d-0b28507e451d · inbound

A Survey of Hallucination in Large Foundation Models cites this paper.

A Survey of Hallucination in Large Foundation Models Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

Reference 138

Resolution
verified exact
arxiv_id, observed 2026-05-16T15:21:00.965373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-16T15:21:00.778049Z digest=sha256:ac99b94965f54b6afb708725fb54ad9f3c8a7044b72f8012c038a4845e3b1331

Observation 404d6195-ed50-4233-b1b4-6c313d14a9dc · inbound

A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models cites this paper.

A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:15:13.323213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-15T19:15:12.378496Z digest=sha256:045bf2165ad63b0b7ec01dfc9f96ea0838afed1762d9d140ab11a94306ed16d4

Observation 6d56a6ce-e2df-4faf-9cf4-6731e21b439f · inbound

Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs cites this paper.

Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T00:52:02.553235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T00:52:02.421389Z digest=sha256:201e1d10810bfd8fac69cbbd34a99bb70e056aae24453a56ce6290e6cb17a703

Observation 307c6eef-a58a-4956-b45f-77ede79c1c99 · inbound

Pretrained LLMs Learn Multiple Types of Uncertainty cites this paper.

Pretrained LLMs Learn Multiple Types of Uncertainty Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T13:44:22.150186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:44:22.150186Z digest=sha256:6955944e79a7c40b20b8dd92e1cf2851874d9f5d1322fc1054f817b73c34757c

Observation 73e1ed46-6118-40d5-a2fd-1fdb429ac23c · inbound

HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMs cites this paper.

HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMs Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T12:34:06.787964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:34:06.787964Z digest=sha256:2c36dcdc2b2eff59d8d2c93f1ca9891aa1459974054e21810e534eb4da871605

Observation dd7a3d85-84cf-4bd9-9108-d6a711271719 · inbound

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations cites this paper.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-07T11:23:46.895068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:23:46.895068Z digest=sha256:4a1fbe42c0dea042aef3585dd70976afacb645d85ad3c769b1d1feaff9080045

Observation 68a25084-bb5a-4f50-ad2d-6a5e45d3ab3e · inbound

Beyond Facts: Evaluating Intent Hallucination in Large Language Models cites this paper.

Beyond Facts: Evaluating Intent Hallucination in Large Language Models Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T05:59:44.405689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:44.405689Z digest=sha256:5ae4b0a1a3d406f141435fb6f5228e16101a8a1c739eb299c8bb8a1000914f5b

Observation 5482b807-caf5-4449-8f8e-4d65c0db404c · inbound

LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO cites this paper.

LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T04:55:05.447861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:55:05.447861Z digest=sha256:e00b368db08114b450fb89af71ad4bbb76a4309e3a67e93b626cfaa33d09215e

Observation 677535d9-3f7e-4f2a-8496-43bf21fd6585 · inbound

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models cites this paper.

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:55.991834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:55.991834Z digest=sha256:78b5fd56c1f2cd1968b73bccd6ff56dcbc09e326703b39ce20da64ada5d4d139

Observation 56c2d156-ecd7-45b9-a733-2594d1b1f19c · inbound

A Mathematical Theory of Discursive Networks cites this paper.

A Mathematical Theory of Discursive Networks Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T19:08:18.826831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:08:18.826831Z digest=sha256:1817c1ab19845877c2f5cd83d4b674fb1dd846950e29bc97546b465e64674414

Observation 94d06134-d812-4eea-8618-3082cdef62c0 · inbound

Automating Expert-Level Medical Reasoning Evaluation of Large Language Models cites this paper.

Automating Expert-Level Medical Reasoning Evaluation of Large Language Models Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T18:30:58.427520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:30:58.427520Z digest=sha256:4440cca5f2a5feec7de1d76fd570955a73afa9e71ae2487899935a9f752a5c2e

Observation edfe7cc7-b11d-4ca6-8c8b-12ed9af6667a · inbound

Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning cites this paper.

Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T14:20:39.507841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:20:39.507841Z digest=sha256:85a4930bf69da63f28a938333fd40d32e3d655910ec71952d0aacb912d76d01e

Observation 8c77bbeb-fa8d-4694-912c-f443495ca9fb · inbound

Enhancing Hallucination Detection via Future Context cites this paper.

Enhancing Hallucination Detection via Future Context Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:22:00.839417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T03:20:00.756092Z digest=sha256:0a8a7bd9680fd6509efd7f8edd93cefa40c5e3669fa2cd1f5e4920aacdf1c856

Observation 2eaaaebb-8ce4-4fd2-91aa-f526ad67bdb1 · inbound

Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models cites this paper.

Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T14:54:28.182028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:54:28.182028Z digest=sha256:9d65986f3d6f3b25f28415cf9395b59eac4e4115c647ec7b5a3ac7cb2e4873a1

Observation 07457250-3932-43d0-93c1-d55cecb01e60 · inbound

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection cites this paper.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T10:18:02.871590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:18:02.871590Z digest=sha256:25dcc0d431db6cf025244a815ebb60d653ce0428d88ab717987397bb15244018

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

Unsupervised Hallucination Detection by Inspecting Reasoning Processes cites this paper.

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

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-04T18:25:37.377440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Observation 84e9fd00-88f7-4d68-9944-69a8ba80a76d · inbound

Benchmarking LLM-Assisted Blue Teaming via Standardized Threat Hunting cites this paper.

Benchmarking LLM-Assisted Blue Teaming via Standardized Threat Hunting Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T14:42:58.510053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:58.510053Z digest=sha256:f40ce2085c95a2e1208d692960cd179f3fdf8823e13fef9087d3fd0401082530

Observation 7c0aa374-2669-4442-a798-2098547c3e87 · inbound

HalluClear: Diagnosing, Evaluating and Mitigating Hallucinations in GUI Agents cites this paper.

HalluClear: Diagnosing, Evaluating and Mitigating Hallucinations in GUI Agents Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:31:30.918801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T06:27:19.717895Z digest=sha256:55e663b35ab5366b20fcff500d59f9b15f9fca1d0349c8eb17e8a6d95b9e943f

Observation aeec92de-3df1-4694-9e3d-859ce9e9fddc · inbound

HalluScan: A Systematic Benchmark for Detecting and Mitigating Hallucinations in Instruction-Following LLMs cites this paper.

HalluScan: A Systematic Benchmark for Detecting and Mitigating Hallucinations in Instruction-Following LLMs Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:50:28.067953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T06:49:16.755597Z digest=sha256:212d771073b0adecd553ee7fb1011df0dd5e4be053840577308219d816d4a49d

Observation 468be048-b4ae-4989-8307-ffe44d5ceb9d · inbound

Dive into Ambiguity: A*-Inspired Multi-Agents Commonsense Obfuscation Attack on LLM Prompts cites this paper.

Dive into Ambiguity: A*-Inspired Multi-Agents Commonsense Obfuscation Attack on LLM Prompts Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:26:16.393692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T16:54:12.354178Z digest=sha256:51d92a8bc8c4afce9f5fd15a6e8b817125e3aff4b636e240314b092d5c1d94ee