Paper Citation Record · LEDGER

Debiasing Multimodal Large Language Models via Penalization of Language Priors

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2403.05262.

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

pith.paper-citation-record.v1
2403.05262 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:54:22.817270Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T18:45:00.171549Z

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 9b8e230d-c4d2-435c-a71a-d0fa08ac5c48 · inbound

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

VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding Debiasing Multimodal Large Language Models via Penalization of Language Priors

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T13:54:22.817270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da4ce379-8a1f-4957-b71b-6372f400c90f · inbound

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment cites this paper.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Debiasing Multimodal Large Language Models via Penalization of Language Priors

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.524073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48a07fd0-6595-4230-a234-f4278ffaa336 · inbound

MLLMs are Deeply Affected by Modality Bias cites this paper.

MLLMs are Deeply Affected by Modality Bias Debiasing Multimodal Large Language Models via Penalization of Language Priors

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:30:22.104648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e1a01d2-90d0-423f-8f87-8bbf4d5a852a · inbound

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

Energy-Guided Decoding for Object Hallucination Mitigation Debiasing Multimodal Large Language Models via Penalization of Language Priors

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T18:39:30.197599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9e1e679-3bc3-4c5a-b887-117e93837ff0 · inbound

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI cites this paper.

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI Debiasing Multimodal Large Language Models via Penalization of Language Priors

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T10:22:23.283748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 717b65be-3908-4eb5-bce7-600d2bd89b7c · inbound

Challenges in Understanding Modality Conflict in Vision-Language Models cites this paper.

Challenges in Understanding Modality Conflict in Vision-Language Models Debiasing Multimodal Large Language Models via Penalization of Language Priors

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T11:26:18.034754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62835c2e-a1ee-4832-8abc-d6737303a147 · inbound

Capturing Gaze Shifts for Guidance: Cross-Modal Fusion Enhancement for VLM Hallucination Mitigation cites this paper.

Capturing Gaze Shifts for Guidance: Cross-Modal Fusion Enhancement for VLM Hallucination Mitigation Debiasing Multimodal Large Language Models via Penalization of Language Priors

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T08:14:37.477584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a37ce52-8733-493f-b003-98be2b8f06a8 · inbound

Cross-Modal Attention Analysis and Optimization in Vision-Language Models: A Study on Visual Reliability cites this paper.

Cross-Modal Attention Analysis and Optimization in Vision-Language Models: A Study on Visual Reliability Debiasing Multimodal Large Language Models via Penalization of Language Priors

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:11:53.470966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2a457179-0e6f-4588-8435-468bc613a07d · inbound

Vision Inference Former: Sustaining Visual Consistency in Multimodal Large Language Models cites this paper.

Vision Inference Former: Sustaining Visual Consistency in Multimodal Large Language Models Debiasing Multimodal Large Language Models via Penalization of Language Priors

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:38:14.452941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0c955181-b5c0-42bf-a4c1-188d71d286fc · inbound

Vision Inference Former: Sustaining Visual Consistency in Multimodal Large Language Models cites this paper.

Vision Inference Former: Sustaining Visual Consistency in Multimodal Large Language Models Debiasing Multimodal Large Language Models via Penalization of Language Priors

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:45:00.173083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.