Paper Citation Record · LEDGER

Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2411.16724.

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

pith.paper-citation-record.v1
2411.16724 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:22:38.815007Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 27e3db79-4f22-4ca6-9cad-af91b5866b2b · 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 Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:38.815007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a485711-a658-4265-8685-3089ac696e31 · inbound

Energy-Guided Decoding for Object Hallucination Mitigation cites this paper.

Energy-Guided Decoding for Object Hallucination Mitigation Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T18:39:27.700032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 235586a9-09bb-4037-b1d9-882a2f8f9c89 · inbound

Modality Bias in LVLMs: Analyzing and Mitigating Object Hallucination via Attention Lens cites this paper.

Modality Bias in LVLMs: Analyzing and Mitigating Object Hallucination via Attention Lens Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T05:04:23.314967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56fe9606-cbb1-4eb2-9601-588ed72eff14 · inbound

SAVER: Mitigating Hallucinations in Large Vision-Language Models via Style-Aware Visual Early Revision cites this paper.

SAVER: Mitigating Hallucinations in Large Vision-Language Models via Style-Aware Visual Early Revision Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T04:42:37.262710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3081177e-7ba2-4319-b1bf-aeecfdc0d251 · inbound

Why and When Visual Token Pruning Fails? A Study on Relevant Visual Information Shift in MLLMs Decoding cites this paper.

Why and When Visual Token Pruning Fails? A Study on Relevant Visual Information Shift in MLLMs Decoding Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:31:01.421189Z

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.

Observation b7a277c3-88e9-4bd0-a5dd-728fa86507e8 · inbound

HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering cites this paper.

HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens

Reference 276

Resolution: verified exact; arxiv_id, observed 2026-05-09T23:54:45.676745Z

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.

Observation 0a6210a5-fcc6-462a-be07-c6a7766504ef · inbound

Grounded or Guessing? LVLM Confidence Estimation via Blind-Image Contrastive Ranking cites this paper.

Grounded or Guessing? LVLM Confidence Estimation via Blind-Image Contrastive Ranking Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:46:47.139577Z

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.

Observation 6edd1f80-e02e-4c04-9c09-1b61a8c3abc0 · inbound

Grounded or Guessing? LVLM Confidence Estimation via Blind-Image Contrastive Ranking cites this paper.

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:12:41.136474Z

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.

Observation 6c8b6a24-f2ca-453a-b294-e6c1cd764c2d · inbound

Verbalizable Representations Form a Global Workspace in Language Models cites this paper.

Verbalizable Representations Form a Global Workspace in Language Models Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-01T23:15:25.901469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.