Paper Citation Record · LEDGER

VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2411.15839.

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

pith.paper-citation-record.v1
2411.15839 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:09:09.645932Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:20:06.357196Z

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 e70a9b16-99a0-4e47-ae50-006dee619c2a · inbound

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

Hallucination of Multimodal Large Language Models: A Survey VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding

Reference 163

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:33:33.092363Z

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.

Observation a17ce182-7c35-4914-8e42-e257f91fb604 · inbound

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models cites this paper.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T18:09:09.645932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ed0382d-e4fe-4882-8e73-e2a81bd260af · inbound

Two Causes, Not One: Rethinking Omission and Fabrication Hallucinations in MLLMs cites this paper.

Two Causes, Not One: Rethinking Omission and Fabrication Hallucinations in MLLMs VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T13:44:12.219337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edc14937-629f-47b1-b776-1df37a0fe805 · inbound

Training-free Uncertainty Guidance for Complex Visual Tasks with MLLMs cites this paper.

Training-free Uncertainty Guidance for Complex Visual Tasks with MLLMs VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T13:27:57.747048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41980164-c128-435e-9dad-1caf011b4cf8 · inbound

MLLMs Get It Right, Then Get It Wrong: Tracing and Correcting Late-Layer Textual Bias cites this paper.

MLLMs Get It Right, Then Get It Wrong: Tracing and Correcting Late-Layer Textual Bias VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T20:18:56.610425Z

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.

Observation c049eb4d-46ee-4336-b398-c8f4068818f9 · inbound

Omni-Perception Policy Optimization for Multimodal Emotion Reasoning cites this paper.

Omni-Perception Policy Optimization for Multimodal Emotion Reasoning VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:20:06.359489Z

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.