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Paper Citation Record · LEDGER

Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.16449.

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

pith.paper-citation-record.v1
2406.16449 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:15:20.794862Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:05:22.945602Z

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 d8c9da9f-a4d6-47db-b73e-c87f540b507f · inbound

Unveiling the Response of Large Vision-Language Models to Visually Absent Tokens cites this paper.

Unveiling the Response of Large Vision-Language Models to Visually Absent Tokens Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T11:15:20.794862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T11:15:20.794862Z digest=sha256:85a1c7d372c9b3c039642d9fd12c8548a85e47587382a435075e94c80c80c183

Observation 6ea5f735-273b-4a80-8435-74f5e68ef2f7 · inbound

When Relations Break: Analyzing Relation Hallucination in Vision-Language Model Under Rotation and Noise cites this paper.

When Relations Break: Analyzing Relation Hallucination in Vision-Language Model Under Rotation and Noise Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:21:09.145381Z

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.

source=pdf_text observed=2026-05-08T17:40:14.089081Z digest=sha256:56a3ec35549b671bc16996faa2149dede4b73c39c1ea117eadf65c0d9c1ac3cd

Observation e69e1d21-8613-4bc1-8527-e5ed276fccd3 · inbound

When Relations Break: Analyzing Relation Hallucination in Vision-Language Model Under Rotation and Noise cites this paper.

When Relations Break: Analyzing Relation Hallucination in Vision-Language Model Under Rotation and Noise Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:51:29.252786Z

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.

source=pdf_text observed=2026-05-12T03:52:44.531016Z digest=sha256:8139cf368f87f3bc14c0be80069a07cacd4bc5e1c9de6fc4cf3bd3b808f0f2a0

Observation 66ff9c21-16bf-433f-bcc9-7cd8bf05d30e · inbound

CHASD: Language Increment-Calibrated Contrastive Decoding against Hallucination in LVLMs cites this paper.

CHASD: Language Increment-Calibrated Contrastive Decoding against Hallucination in LVLMs Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:05:22.948766Z

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.

source=pdf_text observed=2026-05-25T05:02:46.566951Z digest=sha256:7c1e49408aec57649dbb2b7f597dbae9eb6ab84fcc9ccba967094f1c29165a9d