Pith. sign in

Paper Citation Record · LEDGER

MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 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 19 of 19 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 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:34:42.884194Z

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T12:33:32.631346Z digest=sha256:7f4466fa65dc8c0a97221a53f35472b49a2d1b96241341b63b8a2f1df42f66ed

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=sha256:48fd73ebc2d410c295729ad6921e9bba00cfbf2fc91cc935971160688bc19fe1

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=sha256:666754f6197c70596b9a0f9b57555c5b749256493d39114573ca78a62bf97e70

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=sha256:7c8b4a9bd35d308dbbaa93ab271772fb1c9e614bab773e4c2298799a0cfc87dc

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=sha256:70295b52fc0847ac3dc9b3e68e41408aad94eb31eceda3ccb82bf2772d798305

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:bff0e019ee2f691f01aa8a5be97c5e771b877606005c58681f2020ad2ed223ea

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=sha256:76157789086ac9bc8153f6928636af50f52e48f0a50d2bb1945198e8ed476060

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=sha256:91329a9b19428978291f2d2544a3479cc905579f5619d8f5044dbb28d354a403

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=sha256:0805236c9e499c527f8301edab46149c2e9dd0c26666773517c8836a7d9cb0e8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T21:05:11.117495Z digest=sha256:286af3c3f6a7176d171172ce59ccc45085996407356b5034968b2ce6e514d9f0

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T17:07:09.330134Z digest=sha256:73b701a532d957dfac8002876c424db7710c8955943969b452cd29468e84bed8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:13:49.239474Z digest=sha256:4b836ea271b22d9a865f7ecaa0fe7f3c1b4f7808383562164ea5edf9d1cbc555

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T05:10:45.144421Z digest=sha256:6a684f9a352c8b5b035af8f11397e3bb584328828afa126c1d18a11ed2ff7736

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-09T23:51:47.724033Z digest=sha256:322cdb093b3a625739cc5bba5bee5b3ef4139a13610d3df9dc3b4750ac93e0ca

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T22:11:40.905814Z digest=sha256:2911ada57c2022b26adee279ecd20218a4e990d0fef03f0a808f0d232cc818b0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T17:00:36.574362Z digest=sha256:99adb792166df5fb3de7958c4a13d81bad91b249f6e6125a00e11df17f94945d

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T04:48:21.798287Z digest=sha256:b557e165e012d85165b4336b403101fcba2b41ad20ba2882d53ff04c84c682dd

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-29T13:29:33.614965Z digest=sha256:ae058ad7650926bcae5ac173719034e918a64c77da1f0a0fd31d5d01aa24cadf

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=sha256:365e6685d0a0c207bf65a08b756280e422bb6df6cb535636a6cc71539333dd01