Paper Citation Record · LEDGER

Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2407.00569.

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

pith.paper-citation-record.v1
2407.00569 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:32:12.152743Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T12:33:33.449569Z

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 5b3561cf-44ea-48c8-a3f1-bfc44b7e88e6 · inbound

Hallucination of Multimodal Large Language Models: A Survey cites this paper.

Hallucination of Multimodal Large Language Models: A Survey Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models

Reference 223

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:33:33.457947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d7a96450-b615-4b5f-a897-302bce6e66f9 · inbound

Safe + Safe = Unsafe? Exploring How Safe Images Can Be Exploited to Jailbreak Large Vision-Language Models cites this paper.

Safe + Safe = Unsafe? Exploring How Safe Images Can Be Exploited to Jailbreak Large Vision-Language Models Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T18:32:12.152743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac472452-9128-4b33-8b51-17f800cef2f4 · inbound

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models cites this paper.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.442741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bbe3254-050b-4a0d-8abe-bd0229721ed8 · inbound

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models cites this paper.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.993526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d5bf860-658c-4767-b3e8-e50cce7029db · inbound

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding cites this paper.

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:29.916827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44a9400c-26d2-464a-ad22-fb91b02eed8f · inbound

One for All: Update Parameterized Knowledge Across Multiple Models cites this paper.

One for All: Update Parameterized Knowledge Across Multiple Models Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:02:18.075413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f70e162-061c-4e94-ad24-f035cab3468a · inbound

CLAIM: Mitigating Multilingual Object Hallucination in Large Vision-Language Models with Cross-Lingual Attention Intervention cites this paper.

CLAIM: Mitigating Multilingual Object Hallucination in Large Vision-Language Models with Cross-Lingual Attention Intervention Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:38.929962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55b4bd6e-d3ef-4fff-bd1a-f9c422130dd4 · inbound

CAI: Caption-Sensitive Attention Intervention for Mitigating Object Hallucination in Large Vision-Language Models cites this paper.

CAI: Caption-Sensitive Attention Intervention for Mitigating Object Hallucination in Large Vision-Language Models Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T21:44:59.175357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8008bae5-a180-48ea-aea7-188653c24258 · inbound

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey cites this paper.

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-05T20:28:48.416727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e98c522-4147-40c3-807d-4ade7f7f878b · inbound

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination cites this paper.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:21.118908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.