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Paper Citation Record · LEDGER

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

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 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 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:54:23.175681Z

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T12:33:32.631346Z digest=sha256:856bc5cbc9da953c06ede298efd30e359d1786867a23556887f43dbf67acf70d

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-23T16:57:12.821916Z digest=sha256:c62900f483ea80fc652b014b7202974ee4acdf486f2427e049c0c5557309feb5

Observation 72fd9976-832e-4096-b3b6-aa16c8a33c17 · inbound

Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey cites this paper.

Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T23:54:23.175681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:54:23.175681Z digest=sha256:feb0593af09d2dfabb4fbadd2885e8514602f22d7c4c81542a358f50a3475a19

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-23T04:30:38.804702Z digest=sha256:2721e4275dc3b969ca5f7ead824cd0b9efa82ab80d548e32a1a3ebb9d6563025

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=sha256:945d79631d012b89c2c653c91e3ce50abfb450131ed47c8e90348010565cf139

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=sha256:9387f5e9971daf48798bf69ac5d0cece909737cc71f15c620ca9fe74cb36cdf4

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=sha256:3cc8525f9cbf5d7d7270f163d105aea3d3f25c69cd1f0233508599c4ea664aa7

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=sha256:6c04af247cc47e285bb75b8238a560790649d645d8fe866cc67464a29243ba34

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:f72a3d89a0621691dac1aebdd9806e74e9de2590ac1358ca21b05e50bfb8af97

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=sha256:7d0e97d602b3a360f8e3b972b6cc93d8c2c2d892c0ddc0d2b5c1f718a5468cde

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T18:06:50.408402Z digest=sha256:519b5a5ab5af81715ee318e7dec5f614770b9cc347bbef76df542f19c816bbdb

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T03:48:14.211240Z digest=sha256:109b8ac6ab8e13183464299b83a8bca278c17a1485180a122e01ba6b9d0bf14b

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-05T13:15:50.794969Z digest=sha256:056a8351845d6f704000c953a3c7d6a3aaef31fd6c5524c3efc2d62839216a2e

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-09T23:51:47.724033Z digest=sha256:08103f0385c2fa322b3d8c81cc654bb52287810e7cd869e9fb1a9a0110ddcd17

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-08T18:05:38.705480Z digest=sha256:4db9e1c303a1c7c0651ece362cfa27f5277571c38b76c761914d62581e336fd3

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=sha256:9fea63a4eaa9b2ef196081af334654acdd2cc5431d798610010c9c8e2a621c87