Pith. sign in

Paper Citation Record · LEDGER

Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2402.15300.

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

pith.paper-citation-record.v1
2402.15300 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:44:00.603815Z

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

3
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 276b6fce-68e5-4ac7-98c1-aff2008ad923 · inbound

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

Hallucination of Multimodal Large Language Models: A Survey Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:33:33.696406Z

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=sha256:2ae3ae48455e5e4fa3cb6d8ce5ee0878fc341ca42e1926635f6600c294c8d5d9

Observation 19836e82-2759-4388-8322-f5942fcc9886 · inbound

Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models cites this paper.

Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-08T16:44:00.603815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:44:00.603815Z digest=sha256:a253fb6e4bfa04abdb480f7729e015bcdc823b9e3c09a216ee146568c8a6ca14

Observation f5ce18c0-7c9d-47af-861d-958057782d70 · inbound

Mitigating Behavioral Hallucination in Multimodal Large Language Models for Sequential Images cites this paper.

Mitigating Behavioral Hallucination in Multimodal Large Language Models for Sequential Images Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:30.548053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:43:30.548053Z digest=sha256:5bbbe49820831fa3f2e705e1aff74b0173c49975383b713ab81d4a36e0073a6e

Observation 5381a6ff-955e-46b2-a247-d81895bd4159 · inbound

MDSAM:Memory-Driven Sparse Attention Matrix for LVLMs Hallucination Mitigation cites this paper.

MDSAM:Memory-Driven Sparse Attention Matrix for LVLMs Hallucination Mitigation Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T23:34:55.164743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:34:55.164743Z digest=sha256:264e78d5877ce472eff9069b90453e15f95128416eba10b645cf082521a2497b

Observation 941699a5-a68d-4549-b759-f20cd207bae8 · inbound

PostAlign: Multimodal Grounding as a Corrective Lens for MLLMs cites this paper.

PostAlign: Multimodal Grounding as a Corrective Lens for MLLMs Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:19.317381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:19.317381Z digest=sha256:23522ce91bb3152e3edd6bd6eb7199c7b24fb82836cf7fc23354f2b2a6a65cbe

Observation b6c7de87-202f-49b0-8533-ae977cac582d · inbound

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

Energy-Guided Decoding for Object Hallucination Mitigation Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T18:39:26.430472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:39:26.430472Z digest=sha256:fcf2204507f5b32239536bbea3a7a477168c75ecaf60fa9b92a79a517044fe7a

Observation 23f798c5-7cbc-48d7-b969-29589930f9ff · inbound

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey cites this paper.

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding

Reference 192

Resolution
unresolved
no resolver link, observed 2026-08-05T20:29:02.294753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:29:02.294753Z digest=sha256:767970180cd860ae0deb5966f7903bd19b1d4ee79ede600c2c8b2cabee5a0fff

Observation d48f62ed-f031-4991-b33f-ff70f1455e3b · inbound

Controlling Multimodal LLMs via Reward-guided Decoding cites this paper.

Controlling Multimodal LLMs via Reward-guided Decoding Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T19:52:50.201207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:52:50.201207Z digest=sha256:7a74eedfe27c748184bd63e2a8cb83e42a69a08472fcae7b4d89fa862c6d20d8

Observation 653d45f7-7fba-41c5-a78e-1ee12a079363 · inbound

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

Challenges in Understanding Modality Conflict in Vision-Language Models Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-05T11:26:17.281990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T11:26:17.281990Z digest=sha256:30a654ab055296a3fa4c3c16532cb89bdeb7c363cf7ad72b2c1d32fb0a26e990

Observation ea2c41b8-dc81-47d6-b52f-5f968b0f6deb · inbound

See Fair, Speak Truth: Equitable Attention Improves Grounding and Reduces Hallucination in Vision-Language Alignment cites this paper.

See Fair, Speak Truth: Equitable Attention Improves Grounding and Reduces Hallucination in Vision-Language Alignment Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T08:26:00.624204Z

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=2026-05-10T16:38:51.797197Z digest=sha256:577829e1e3ec2b6af073032e7aede88d2c2ae71861d3062cbfe5e62971e7ea91

Observation 099a0af0-a94e-4112-b53f-20dce5d25ab5 · inbound

Deep Pre-Alignment for VLMs cites this paper.

Deep Pre-Alignment for VLMs Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding

Reference 109

Resolution
verified exact
arxiv_id, observed 2026-05-19T16:27:39.109040Z

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=2026-05-19T16:26:41.094936Z digest=sha256:4cf5d8094a6aa9bdac95872a2bd93aa57420f8d52063c59a4cbff7835628b2f1

Observation 0dc8bd54-10e0-473b-a2ba-3e324d564d0d · inbound

GAVEL: Grounded Caption Error Verification and Localization cites this paper.

GAVEL: Grounded Caption Error Verification and Localization Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding

Reference 90

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T13:59:52.212267Z

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=2026-06-26T04:44:48.346335Z digest=sha256:50c2a8efc4702238c77f1744f32b26c687974d3a3d4c14ecb1de99cb811a691b

Observation dc442174-122a-4377-9d77-9f60e890fc8b · inbound

Constraint-Anchored Reasoning Traces cites this paper.

Constraint-Anchored Reasoning Traces Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T20:14:07.511863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:14:07.511863Z digest=sha256:7726e0f0fee49b4d5673fc1ac30a08318e24640de4205deec0e3db8779eca3e4

Observation 2c2f2ce1-1f90-4cf9-8cb7-9cafd2c99811 · inbound

MissingBench-Verified: Probing Vision-Language Models' Inability to Detect Missing Object Parts cites this paper.

MissingBench-Verified: Probing Vision-Language Models' Inability to Detect Missing Object Parts Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-01T14:44:05.933781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T14:44:05.933781Z digest=sha256:e1e61d14e3bf3e2a3be7d96edf3bae572cdc3e7b3912e73b9e387714b79043d2