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Paper Citation Record · LEDGER

Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2501.09695.

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

pith.paper-citation-record.v1
2501.09695 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 2026-08-06T18:55:17.717469Z

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

1
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 fe31c02e-cccb-49f6-842c-5824dc8c4b81 · inbound

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

Hallucination of Multimodal Large Language Models: A Survey Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key

Reference 187

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:33:33.236473Z

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.

source=pdf_text observed=2026-05-11T12:33:32.631346Z digest=sha256:26b9eb23a44fbd2a6555e1101af09809b9a5b18987ca1ba67088e4031d42dd56

Observation ef38660f-38ae-4928-9a1b-60b42e4376b4 · inbound

CheXPO: Preference Optimization for Chest X-ray VLMs with Counterfactual Rationale cites this paper.

CheXPO: Preference Optimization for Chest X-ray VLMs with Counterfactual Rationale Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T18:55:17.717469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:55:17.717469Z digest=sha256:d2a04a4f866acbbdbc797717eafb7c616aebbe5f57a1a9e5974a687fda1a9a68

Observation 33cfd47e-d5b3-4823-b6b4-d8363730ad96 · 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 Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key

Reference 250

Resolution
verified exact
arxiv_id, observed 2026-05-09T23:54:45.317588Z

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.

source=arxiv_source observed=2026-05-09T23:51:47.724033Z digest=sha256:eb55d703207f9e2feb061779e2e1b51bb010e6bd316a58160ab9d84c6b72ddfc

Observation 3c217c3a-5f0c-41d5-8711-5dfd85e60f74 · inbound

Self-Captioning Multimodal Interaction Tuning: Amplifying Exploitable Redundancies for Robust Vision Language Models cites this paper.

Self-Captioning Multimodal Interaction Tuning: Amplifying Exploitable Redundancies for Robust Vision Language Models Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-12T01:46:14.886071Z

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.

source=arxiv_source observed=2026-05-12T01:38:02.328722Z digest=sha256:c3008cc99b4719447d35cc65176d3ff52007a86ef3ee22d078f1fab556862c4c

Observation a8db81a4-0bd8-45aa-8a80-ffbc685a1d5a · inbound

Analyzing and Improving Fine-grained Preference Optimization in Medical LVLMs cites this paper.

Analyzing and Improving Fine-grained Preference Optimization in Medical LVLMs Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:48:02.094195Z

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.

source=pdf_text observed=2026-06-27T09:52:20.508013Z digest=sha256:57816aeba4d8c2f226843dd20ab3b559e983c95964f1f3f0500fc0af7328c760

Observation a3da02ca-4b98-4583-88b2-3700299ab982 · inbound

Vision-driven Preference Synthesis for Mitigating Hallucinations in VLMs cites this paper.

Vision-driven Preference Synthesis for Mitigating Hallucinations in VLMs Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:35:47.652225Z

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.

source=pdf_text observed=2026-06-30T01:22:16.176398Z digest=sha256:2a390879e97cb398b034fff958b52026df4f5488a4659976d1cf36c6e0d7c048