Paper Citation Record · LEDGER

CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMs

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.10433.

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

pith.paper-citation-record.v1
2408.10433 v1

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 2026-08-13T06:32:02.005865+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:42:49.232514Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T04:40:52.938072Z

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 fd6427e1-1030-4dc9-bea9-b48249d23e54 · inbound

Efficient Self-Improvement in Multimodal Large Language Models: A Model-Level Judge-Free Approach cites this paper.

Efficient Self-Improvement in Multimodal Large Language Models: A Model-Level Judge-Free Approach CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMs

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T12:42:49.232514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a01c689-0a65-4792-a615-43632b72ecfa · inbound

Do You Keep an Eye on What I Ask? Mitigating Multimodal Hallucination via Attention-Guided Ensemble Decoding cites this paper.

Do You Keep an Eye on What I Ask? Mitigating Multimodal Hallucination via Attention-Guided Ensemble Decoding CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMs

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T14:49:59.501257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e80fe90f-eb56-4a2a-ad73-9dc5113bdcd4 · 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 CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMs

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T18:55:17.688107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 401cf949-c917-4b04-acf3-493a219529fc · inbound

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

Energy-Guided Decoding for Object Hallucination Mitigation CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMs

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T18:39:29.087461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0777f18-fd1f-40f2-a272-c506ba2c871e · inbound

NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation cites this paper.

NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMs

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-18T04:40:52.940437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ccc2cff0-a9e8-4675-b4bb-8d0cbf3e13b0 · inbound

S2H-DPO: Hardness-Aware Preference Optimization for Vision-Language Models cites this paper.

S2H-DPO: Hardness-Aware Preference Optimization for Vision-Language Models CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMs

Reference 66

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T05:41:02.277080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.