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Paper Citation Record · LEDGER

Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2410.04780.

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

pith.paper-citation-record.v1
2410.04780 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:39.299002Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a94baec0-77ea-4bcc-a700-7c8e1a00b16d · inbound

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

Hallucination of Multimodal Large Language Models: A Survey Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality

Reference 228

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:33:33.476729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T12:33:32.631346Z digest=sha256:0b91014e524fe773e004c0b70251683052634017d0a30ab4f16f335bbce9dd86

Observation 4d615f04-20b2-43d8-b896-0407068cc379 · inbound

VidHal: Benchmarking Temporal Hallucinations in Vision LLMs cites this paper.

VidHal: Benchmarking Temporal Hallucinations in Vision LLMs Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-23T16:58:12.111001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T16:57:12.821916Z digest=sha256:14f2b0f391cb0349f0af60e631f5c8383e2d03454d867ff867207a20521af15c

Observation 605d02e0-1b23-443a-b55b-67460e75688e · inbound

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality

Reference 265

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:32:32.615873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-23T04:30:38.804702Z digest=sha256:54c2b2b57664f262b84d49195ce67f1afa3137f0a421018af4adba69745eb6ca

Observation 05eb66c5-f76f-48d5-8ef2-64654d802620 · inbound

CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring cites this paper.

CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:39.299002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:39.299002Z digest=sha256:0ad7d7df3a230706956876256d993a2485409ab65a47f39af08daa47b67a8020

Observation e211eaa5-aa6a-4bed-bb69-287dd4e0061b · inbound

Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis cites this paper.

Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T15:39:21.951738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:39:21.951738Z digest=sha256:0a72e21237ea9a2b8284f31e236096e1688dbc073e1bc1499ac3a4c0d5261974

Observation 60c69dda-7610-4e4f-99bf-92abdeafcb71 · inbound

Enhancing Visual Reliance in Text Generation: A Bayesian Perspective on Mitigating Hallucination in Large Vision-Language Models cites this paper.

Enhancing Visual Reliance in Text Generation: A Bayesian Perspective on Mitigating Hallucination in Large Vision-Language Models Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T14:18:41.382368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:41.382368Z digest=sha256:0971e10a703b8086d5b2643e6ef6b7dc41e4afec2ad9005c093acfe872e3c6f1

Observation 699bf05f-075b-44a6-bef9-9b74f47bf162 · inbound

CAI: Caption-Sensitive Attention Intervention for Mitigating Object Hallucination in Large Vision-Language Models cites this paper.

CAI: Caption-Sensitive Attention Intervention for Mitigating Object Hallucination in Large Vision-Language Models Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T21:44:59.261993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:44:59.261993Z digest=sha256:e1b3b4393391ea3416d374a3098e50291c98068a11829208628b0772a9071e45

Observation c1ea2965-4634-4d89-a77e-972496730135 · inbound

IKOD: Mitigating Visual Attention Degradation in Large Vision-Language Models cites this paper.

IKOD: Mitigating Visual Attention Degradation in Large Vision-Language Models Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T04:29:55.035299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:29:55.035299Z digest=sha256:b8e1b45beffdced0ff4606bae34f7cfdaeb3c88dda1bfde06306edee07dacb3d

Observation 6f4ec23f-1288-4294-b199-8d0cecb1c5b1 · inbound

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability cites this paper.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T01:00:28.956589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T01:00:28.956589Z digest=sha256:b7c0ed20875226bed553ca3b897946cde9bed6ed8a02ff70eb6a9eb119e19de1

Observation 572c2e21-003c-4009-a5cc-d0cdc8b2664a · inbound

Rethinking Entropy Allocation in LLM-based ASR: Understanding the Dynamics between Speech Encoders and LLMs cites this paper.

Rethinking Entropy Allocation in LLM-based ASR: Understanding the Dynamics between Speech Encoders and LLMs Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:30:57.155885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:06:50.408402Z digest=sha256:776aaf5a3f510b48ea1db84b3b4fead7816dc4d5d06c479fdef48bf4419e8d80

Observation ffae2089-297a-4bd4-92a1-598928f89bfb · inbound

NIM4-ASR: Towards Efficient, Robust, and Customizable Real-Time LLM-Based ASR cites this paper.

NIM4-ASR: Towards Efficient, Robust, and Customizable Real-Time LLM-Based ASR Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:21:05.844795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T03:48:14.211240Z digest=sha256:ce5d039cf1c0674795956ab2e4c2038f570ca2223b9a842882357e0fd8716e20

Observation 5a678cfb-b67b-406b-9a82-6671bb536cb2 · inbound

NIM4-ASR: Towards Efficient, Robust, and Customizable Real-Time LLM-Based ASR cites this paper.

NIM4-ASR: Towards Efficient, Robust, and Customizable Real-Time LLM-Based ASR Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-07-05T13:21:06.217010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-05T13:15:50.794969Z digest=sha256:e36e08f9f23818bb72df48a1e56cd2581597f166896d1a5772696b1991b7dc85

Observation 1754f74c-e867-4227-995c-b17b82636fdb · 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 Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality

Reference 286

Resolution
verified exact
arxiv_id, observed 2026-05-09T23:54:45.327436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-09T23:51:47.724033Z digest=sha256:1c6f0771af0d9291108cdf63e3ad1a876c071b12f149000bbb1f0cddaac183df

Observation 9dd75682-62d5-4ea0-b1bd-e215dcde5263 · inbound

CAST: Mitigating Object Hallucination in Large Vision-Language Models via Caption-Guided Visual Attention Steering cites this paper.

CAST: Mitigating Object Hallucination in Large Vision-Language Models via Caption-Guided Visual Attention Steering Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality

Reference 70

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T06:50:40.286115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T18:05:38.705480Z digest=sha256:b21145940f532b852bdf54156b72c544bae8adfdd71c3cc3f18d01609c54138c

Observation 9132ab38-a4d7-415c-a9d1-22346fd44ec7 · inbound

Disentangling Semantic Attention from Structural Bias in the Attention Manifold cites this paper.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality

Reference 39

Resolution
unresolved
no resolver link, observed 2026-07-31T23:19:56.163706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:19:56.163706Z digest=sha256:7daa309d622bd9dd6b68aa449284285cfbed73c82470c21f7af8d2d75242f38a