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Paper Citation Record · LEDGER

MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2410.11779.

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

pith.paper-citation-record.v1
2410.11779 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T10:47:44.034645Z

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 f0fe23bc-dbdc-4a40-bd63-8a7c61623dd6 · inbound

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

Hallucination of Multimodal Large Language Models: A Survey MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

Reference 162

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:33:33.077337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-11T12:33:32.631346Z digest=sha256:d656113ac9ff373815dd152a2a455c2d5f757493494f7eb0d3095fc7a3b05814

Observation a18cd2b1-401e-46a9-a9ed-6ccf3ad43396 · inbound

Fast Large Language Model Collaborative Decoding via Speculation cites this paper.

Fast Large Language Model Collaborative Decoding via Speculation MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-09T19:34:42.884194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:34:42.884194Z digest=sha256:3a97e6bb4e793640af8e461d43fb0048a5d0c7f4236ea114b7b350a35805d256

Observation 43205d59-3c73-42a1-9d82-00a90eeafa2e · inbound

From Visuals to Vocabulary: Establishing Equivalence Between Image and Text Token Through Autoregressive Pre-training in MLLMs cites this paper.

From Visuals to Vocabulary: Establishing Equivalence Between Image and Text Token Through Autoregressive Pre-training in MLLMs MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T22:43:59.463154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T22:43:59.463154Z digest=sha256:41956b5041ff42f4dd5525f5c64742856b0904733fa6e158d1f8defe68194cab

Observation d284adb0-9e97-4de5-903e-d4142296ef5c · 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 MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T14:18:39.471606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:39.471606Z digest=sha256:70c7d8eba209a76ac58e35154c146fbdcf78d48fcebf51daf18d9b169e17b244

Observation 311beac4-0ceb-43c2-acdf-9bd79457968a · 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 MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:34.142890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:43:34.142890Z digest=sha256:27b3c22b686e59474d64fad7dd00e0602e62c8eef4997f5bb41e8d6d740286b2

Observation a0289201-04d8-4b11-abd7-52c0fd50dc5c · inbound

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

PostAlign: Multimodal Grounding as a Corrective Lens for MLLMs MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:19.322266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:19.322266Z digest=sha256:6add729ab0e1cd77636a8e2276ab8f8d1659a773cafabb2aed581d19653d0945

Observation 3d1fcd93-d40d-4938-9cb3-0713876ef7b7 · inbound

Extracting Visual Facts from Intermediate Layers for Mitigating Hallucinations in Multimodal Large Language Models cites this paper.

Extracting Visual Facts from Intermediate Layers for Mitigating Hallucinations in Multimodal Large Language Models MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T15:32:34.517821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:32:34.517821Z digest=sha256:06f8f4deab1616d8d33d430c9bcd916da1b98d9fa59fca993ffe2912a09df64a

Observation 99c603a1-5bdf-47ac-96ca-544df02d5534 · inbound

Modality Bias in LVLMs: Analyzing and Mitigating Object Hallucination via Attention Lens cites this paper.

Modality Bias in LVLMs: Analyzing and Mitigating Object Hallucination via Attention Lens MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T05:04:25.638936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:04:25.638936Z digest=sha256:4581b2676598e2ebbccca6cabb5f5b2503ab37e8513c689964671168d1f66cd2

Observation 6f147be7-e61c-4e8b-8103-9c192ac89fc8 · 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 MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-04T08:14:36.931127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:14:36.931127Z digest=sha256:931f5d580636c1c08fca8b82c04385f30ca22c17ceeb267e11ed985f7d7711ed

Observation b55f3dec-b8fd-4443-91d8-8040b8d8acaa · inbound

EAGLE: Expert-Augmented Attention Guidance for Tuning-Free Industrial Anomaly Detection in Multimodal Large Language Models cites this paper.

EAGLE: Expert-Augmented Attention Guidance for Tuning-Free Industrial Anomaly Detection in Multimodal Large Language Models MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-15T21:06:38.111607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T21:05:11.117495Z digest=sha256:ebcbf8f66b3a448a01052d8c6cf9200475bd907cd8fd24ff4c5d32032eb7ee1a

Observation 85929084-feb2-4cdd-af5a-e0eb7c8a9b8a · inbound

Spotlight and Shadow: Attention-Guided Dual-Anchor Introspective Decoding for MLLM Hallucination Mitigation cites this paper.

Spotlight and Shadow: Attention-Guided Dual-Anchor Introspective Decoding for MLLM Hallucination Mitigation MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:35:57.311696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-10T17:07:09.330134Z digest=sha256:088ee13cd97d840ee970a2153e8860784b28220533858db1ada68291114001f6

Observation fc2fa8a8-9939-4f1a-9970-5cba5fc11b6f · inbound

HTDC: Hesitation-Triggered Differential Calibration for Mitigating Hallucination in Large Vision-Language Models cites this paper.

HTDC: Hesitation-Triggered Differential Calibration for Mitigating Hallucination in Large Vision-Language Models MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:01:04.037336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T15:13:49.239474Z digest=sha256:23ba2c31eb8c39b11421cce2e92526634a74e4450f20791d8efc869ed7b21618

Observation cd2eb07e-184e-49e3-864c-3e6dcaf556d9 · inbound

Mitigating Multimodal Hallucination via Phase-wise Self-reward cites this paper.

Mitigating Multimodal Hallucination via Phase-wise Self-reward MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:38:43.248232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T05:10:45.144421Z digest=sha256:7d2951f537ef26abef4b0e22dd4d8fd0a4eea28712946491a3912fab49b654d2

Observation e623ac95-ccae-42d1-8779-85e3ab5bfdc1 · 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 MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

Reference 287

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T23:54:45.411520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-09T23:51:47.724033Z digest=sha256:1ac80127412121b17bfd3d5b134f144cc6786bf137b0fa396bee843466adacf4

Observation a8f8bbc4-6aa9-4eb6-bcc7-a650ccd18426 · inbound

When Prompts Override Vision: Prompt-Induced Hallucinations in LVLMs cites this paper.

When Prompts Override Vision: Prompt-Induced Hallucinations in LVLMs MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

Reference 39

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T22:54:16.706225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-09T22:11:40.905814Z digest=sha256:25f60031860125064247b52a09959d3c8751e22bdfd2b0355e8485b21d371ab2

Observation e5b52bbe-2bf1-47e1-8a1f-c08e94df4895 · inbound

Uncertainty-Aware Exploratory Direct Preference Optimization for Multimodal Large Language Models cites this paper.

Uncertainty-Aware Exploratory Direct Preference Optimization for Multimodal Large Language Models MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:51:09.404661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-08T17:00:36.574362Z digest=sha256:1bfdb9072d2a6b164b44f9ce4ba2f0722bf025d35e9d26c7a61698e481e6fa3b

Observation 83ba0e82-3534-4385-b525-f0f9793578f6 · inbound

Not Blind but Silenced: Rebalancing Vision and Language via Adversarial Counter-Commonsense Equilibrium cites this paper.

Not Blind but Silenced: Rebalancing Vision and Language via Adversarial Counter-Commonsense Equilibrium MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T05:56:25.099611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-12T04:48:21.798287Z digest=sha256:b2123b060803d928adc5898b672863a9237faed51893332b2a1b35cfefebd2c9

Observation bc6ce06f-e4a5-4f86-ad81-806d93d5b788 · inbound

Rethinking Visual Neglect: Steering via Context-Preference for MLLM Hallucination Mitigation cites this paper.

Rethinking Visual Neglect: Steering via Context-Preference for MLLM Hallucination Mitigation MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-06-29T13:33:28.028552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-29T13:29:33.614965Z digest=sha256:679b08a4da6a0d33ff146b3281ccee288f8b392acf02e933892c528ce82790ec

Observation 92afc358-f664-430e-a548-9a712500d23c · inbound

Trace, Verify, and Correct: A Training-Free Framework for Spatial Reasoning in Multimodal LLMs cites this paper.

Trace, Verify, and Correct: A Training-Free Framework for Spatial Reasoning in Multimodal LLMs MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T17:22:33.626317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:22:33.626317Z digest=sha256:2e6e5b776b40fedf3dbbb98149e78e7aeb684bf63cfd7b1f5fa1f8fe85d8b767

Observation 649df8aa-6029-4b67-a3ca-17bab84bd5be · inbound

Same Attention, Different Truths: Put Logit-Lens over Visual Attention to Detect and Mitigate LVLM Object Hallucination cites this paper.

Same Attention, Different Truths: Put Logit-Lens over Visual Attention to Detect and Mitigate LVLM Object Hallucination MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T10:47:44.034645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T10:47:44.034645Z digest=sha256:876646ada78cfc5322710e61d791415c7d07cf7d12abc9c48e65ad5b5db7e3ef