Paper Citation Record · LEDGER

FADE: Mitigating Hallucinations by Reducing Language-Prior Dominance in Large Vision-Language Models

As of 10 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 3 inbound Pith citation observations for arXiv:2606.29431.

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

pith.paper-citation-record.v1
2606.29431 v4

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T10:58:42.673961Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:30:26.949438Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

7 of 7 outbound references displayed

verified exact0
verified fuzzy0
unresolved6
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1e70e191-2dec-444d-aa53-2f6ecd57b0cf · outbound

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

FADE: Mitigating Hallucinations by Reducing Language-Prior Dominance in Large Vision-Language Models Hallucination of Multimodal Large Language Models: A Survey

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T10:58:42.673961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e39fcf8d-53e7-42fb-b3a7-7f5f3d64583b · outbound

This paper cites Advances in Neural Information Processing Systems, 37:133571–133599.

FADE: Mitigating Hallucinations by Reducing Language-Prior Dominance in Large Vision-Language Models Advances in Neural Information Processing Systems, 37:133571–133599

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-12T10:58:42.673961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54a0ca9b-64ac-4ec5-81f7-0a5f8d00ff8e · outbound

This paper cites InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 13872–13882.

FADE: Mitigating Hallucinations by Reducing Language-Prior Dominance in Large Vision-Language Models InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 13872–13882

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-12T10:58:42.673961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e94266b1-eb32-471d-80be-34b62c54b91b · outbound

This paper cites Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sas- try, Amanda Askell, Pamela Mishkin, Jack Clark, and 1 others.

FADE: Mitigating Hallucinations by Reducing Language-Prior Dominance in Large Vision-Language Models Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sas- try, Amanda Askell, Pamela Mishkin, Jack Clark, and 1 others

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-12T10:58:42.673961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f17dafe-b09f-42b3-baf8-c8ad7dec2fc9 · outbound

This paper cites InFindings of the Association for Computational Linguistics: ACL 2024, pages 13088–13110.

FADE: Mitigating Hallucinations by Reducing Language-Prior Dominance in Large Vision-Language Models InFindings of the Association for Computational Linguistics: ACL 2024, pages 13088–13110

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T10:58:42.673961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f02c2c7-9aa0-4dbd-a4d5-1c03898c64f4 · outbound

This paper cites Mitigating Hallucinations via Inter-Layer Consistency Aggregation in Large Vision-Language Models.

FADE: Mitigating Hallucinations by Reducing Language-Prior Dominance in Large Vision-Language Models Mitigating Hallucinations via Inter-Layer Consistency Aggregation in Large Vision-Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-12T10:58:42.673961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67315b8c-a200-412e-b7ef-9cd4f48d9263 · outbound

This paper cites In Proceedings of the ieee/cvf conference on computer vision and pattern recognition, pages 13040–13051.

FADE: Mitigating Hallucinations by Reducing Language-Prior Dominance in Large Vision-Language Models In Proceedings of the ieee/cvf conference on computer vision and pattern recognition, pages 13040–13051

Reference 7

Resolution: malformed identifier; no resolver link, observed 2026-07-12T10:58:42.673961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a008a3cb-2cf6-46fd-9ab4-74ec8ed2dc2b · inbound

SeeMe: Mitigating Hallucinations in Large Vision-Language Models through Effective Visual Token Engineering cites this paper.

SeeMe: Mitigating Hallucinations in Large Vision-Language Models through Effective Visual Token Engineering FADE: Mitigating Hallucinations by Reducing Language-Prior Dominance in Large Vision-Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-11T21:15:25.010442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4eb9ffe-a800-4909-93d5-74d7f0de2bbd · inbound

SPARK: Susceptibility-Guided Profiling and Steering of Latent Reasoning States in Large Language Models cites this paper.

SPARK: Susceptibility-Guided Profiling and Steering of Latent Reasoning States in Large Language Models FADE: Mitigating Hallucinations by Reducing Language-Prior Dominance in Large Vision-Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T12:50:33.254161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc4ec9f7-12a1-45a4-9c29-d8702dac0d2d · inbound

Better Starts, Better Ends: Bootstrapped Iterative Self-Reasoning Distillation for Compressed Reasoning cites this paper.

Better Starts, Better Ends: Bootstrapped Iterative Self-Reasoning Distillation for Compressed Reasoning FADE: Mitigating Hallucinations by Reducing Language-Prior Dominance in Large Vision-Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T22:30:26.949438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.