Paper Citation Record · LEDGER

Detecting and Preventing Hallucinations in Large Vision Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2308.06394.

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

pith.paper-citation-record.v1
2308.06394 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:28:00.419075Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T16:27:39.551772Z

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 7b631a88-d2c9-490a-9809-daf757035df6 · inbound

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

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models Detecting and Preventing Hallucinations in Large Vision Language Models

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T14:21:16.502471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d2118742-d634-465e-b7dc-c2d26b048508 · inbound

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

A Survey of Hallucination in Large Foundation Models Detecting and Preventing Hallucinations in Large Vision Language Models

Reference 121

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:21:00.902712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a1559b26-52ec-4964-ab3f-1493c732d9b2 · inbound

Analyzing and Mitigating Object Hallucination in Large Vision-Language Models cites this paper.

Analyzing and Mitigating Object Hallucination in Large Vision-Language Models Detecting and Preventing Hallucinations in Large Vision Language Models

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T22:46:52.857789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7cfe5193-155a-4ba2-a1ae-7aa708ac0ad0 · inbound

HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models cites this paper.

HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models Detecting and Preventing Hallucinations in Large Vision Language Models

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T01:22:04.251895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 459bf274-98c1-4d7b-b3e8-413cfd70a66c · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions Detecting and Preventing Hallucinations in Large Vision Language Models

Reference 112

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:46:27.583529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8c07c8cd-fb6a-4391-8e50-37ab43adedc0 · inbound

AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation cites this paper.

AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation Detecting and Preventing Hallucinations in Large Vision Language Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:44:30.269162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 42e62587-55ad-4472-a0b6-54e4f4e63b51 · inbound

A Survey on Hallucination in Large Vision-Language Models cites this paper.

A Survey on Hallucination in Large Vision-Language Models Detecting and Preventing Hallucinations in Large Vision Language Models

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T22:10:10.282992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 76449b1a-149f-43e0-b9bc-edab796cc5b9 · inbound

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models cites this paper.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Detecting and Preventing Hallucinations in Large Vision Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:05.910372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f939dc7-ba98-489f-9e64-6bae9995da69 · inbound

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing cites this paper.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Detecting and Preventing Hallucinations in Large Vision Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:28:00.419075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9564df1-5d3f-4762-8b9e-b811eebcc27f · inbound

State Beyond Appearance: Diagnosing and Improving State Consistency in Dial-Based Measurement Reading cites this paper.

State Beyond Appearance: Diagnosing and Improving State Consistency in Dial-Based Measurement Reading Detecting and Preventing Hallucinations in Large Vision Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:16:26.496456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8fa3f52a-59c6-4bab-a4e5-7cd1d1cb728c · inbound

Deep Pre-Alignment for VLMs cites this paper.

Deep Pre-Alignment for VLMs Detecting and Preventing Hallucinations in Large Vision Language Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-19T16:27:39.553509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.