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Paper Citation Record · LEDGER

Woodpecker: Hallucination Correction for Multimodal Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 inbound Pith citation observations for arXiv:2310.16045.

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

pith.paper-citation-record.v1
2310.16045 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 30 of 30 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 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:22:42.225880Z

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

22
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 e7c0043e-1ea5-418f-90ad-74b90aaf598b · inbound

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models cites this paper.

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-10T20:25:34.286564Z

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=2026-05-10T20:25:33.854923Z digest=sha256:01a55868ab02ff90d1ffad751d58c647e7251a69e846a9f4d538d9c8fd051cc5

Observation 47e89d02-e270-4688-a028-7fc425b350d5 · inbound

A Survey on Multimodal Large Language Models cites this paper.

A Survey on Multimodal Large Language Models Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-16T02:56:42.590040Z

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=2026-05-16T02:56:41.658658Z digest=sha256:ad25fa83496efb3ce1c05ff8fc48de336b934228bd9bf7f8963c376bc59259e8

Observation 57850598-e704-478d-bb55-452b30d7099a · inbound

HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models cites this paper.

HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-17T01:22:04.183536Z

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=2026-05-17T01:22:04.035994Z digest=sha256:d2d3bc8556c97560394fc8664a61a96487c411e813e1eecd8627e763dce4a72e

Observation 8fd516e5-25b9-4ba0-8838-8dacf945c03b · inbound

AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation cites this paper.

AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T06:44:30.287001Z

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=2026-05-16T06:44:30.244832Z digest=sha256:06283e5060aa28e5b9f99706ff0d1bf0efa4b8016fdea88190684b3b1dc8ac66

Observation c077ccd8-cbdf-486f-9068-b4647c761539 · inbound

Video-LLaVA: Learning United Visual Representation by Alignment Before Projection cites this paper.

Video-LLaVA: Learning United Visual Representation by Alignment Before Projection Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 120

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T18:08:01.429021Z

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=2026-05-14T18:08:01.166072Z digest=sha256:2d89755d10eb9819101322614ce952e576048a0f14b4ca963c6042da3b5ec743

Observation 50199bda-905a-40ec-a079-ce965030c41e · inbound

InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model cites this paper.

InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 88

Resolution
verified exact
arxiv_id, observed 2026-05-17T05:30:27.761869Z

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=2026-05-17T05:30:27.667126Z digest=sha256:1d90e82782856bbb6b02301dc83db2b5ffd0a6872214753b9a8affa56d2de6bc

Observation 4d609954-ca36-4311-a6d4-8d58280c782d · inbound

A Survey on Hallucination in Large Vision-Language Models cites this paper.

A Survey on Hallucination in Large Vision-Language Models Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:10:10.248986Z

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=2026-05-13T22:10:10.186950Z digest=sha256:0dabb7f654b2d86870a31e90bad72908f5d48866d47cd178b8286956a2a7761f

Observation 299caee7-8eb0-4a44-b3bb-294d91d88366 · inbound

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning cites this paper.

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 180

Resolution
verified exact
arxiv_id, observed 2026-05-17T10:58:53.485788Z

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=2026-05-17T10:58:53.215887Z digest=sha256:8321c33fc74141995a223ee2566e3ee05c9cf48c29bdba92bdc3a655b986e490

Observation 0ee72709-8615-430e-8ace-e52650bbbccb · inbound

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

Hallucination of Multimodal Large Language Models: A Survey Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 192

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:33:33.269799Z

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=sha256:567fc6f43aaa1038faf6d9beee89d869c5bd41edc0b82a12876dbd534b8f8886

Observation 0471cdc9-758f-454e-a671-4ee1ae9d2a9c · inbound

ForgeryGPT: A Multimodal LLM for Interpretable Image Forgery Detection and Localization cites this paper.

ForgeryGPT: A Multimodal LLM for Interpretable Image Forgery Detection and Localization Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-23T19:08:20.541198Z

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=2026-05-23T19:06:10.198724Z digest=sha256:658f25edb722dd6f262f67c0c8c0e86add4cfc882df24fef0fe95bb178cbe215

Observation adc122ee-f6c0-4c4c-9c15-b0831f9f8a76 · inbound

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

VidHal: Benchmarking Temporal Hallucinations in Vision LLMs Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-23T16:58:12.039274Z

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=sha256:696e8f6deedf81ffcbcf7ad9cf4bd3fdcfeb6b259ff9d42b27eafde0c71dbebb

Observation 33e46bb6-e6ef-426e-88e6-f66ccd5cfa33 · inbound

The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering cites this paper.

The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-09T04:22:42.225880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T04:22:42.225880Z digest=sha256:565a4ce523e501d131aa68c3a4fa7fbf9525c878881f35f42b38842e5c6409f8

Observation 57c92872-401b-4ee9-8e28-37f8045be344 · 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 Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-08T16:44:00.734462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:44:00.734462Z digest=sha256:6a750cdba7438977d08d805e911ce2e519b382aa47d911a43b84d66686ba8fe9

Observation 5d73112b-e7f0-4497-8605-bec141936938 · inbound

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding cites this paper.

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-07T15:03:28.460838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:03:28.460838Z digest=sha256:4bf0b89c1456782492889661425adccf483099243d5d43d0b56b0592eb5bccf8

Observation 36a49089-d22f-4af3-8106-fc0699210e47 · inbound

Do You Keep an Eye on What I Ask? Mitigating Multimodal Hallucination via Attention-Guided Ensemble Decoding cites this paper.

Do You Keep an Eye on What I Ask? Mitigating Multimodal Hallucination via Attention-Guided Ensemble Decoding Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T14:50:00.550305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:50:00.550305Z digest=sha256:69bfc6eb39e05dcd66e0449bbd4aa69c018f916a160effe378f1fbd9fcbcf092

Observation 7f9b0304-50f3-4f2e-b0ec-d8cabe019404 · inbound

Seeing It or Not? Interpretable Vision-aware Latent Steering to Mitigate Object Hallucinations cites this paper.

Seeing It or Not? Interpretable Vision-aware Latent Steering to Mitigate Object Hallucinations Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T14:45:29.439784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:45:29.439784Z digest=sha256:bb5654132c5b3097d2b2c2964e29fb12d42edca655331dea09473bd255e26a16

Observation a1730016-0ce4-45c7-9ee7-4975189443ea · inbound

ChartLens: Fine-grained Visual Attribution in Charts cites this paper.

ChartLens: Fine-grained Visual Attribution in Charts Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T14:19:25.225521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:19:25.225521Z digest=sha256:ce6bfe49064cbff97cda3b107c7f77973c1380c872139c179515670c9ed544ad

Observation e83e4ae2-2457-4ed9-91c9-dba95fd3cc7a · inbound

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models cites this paper.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:08.188057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:08.188057Z digest=sha256:27366f4c9a52530715bbf392310980aa521007a8624ae927f0349b9309818fd1

Observation d96e4623-5ba0-4a39-a2e4-78bb8261499a · inbound

Understand, Think, and Answer: Advancing Visual Reasoning with Large Multimodal Models cites this paper.

Understand, Think, and Answer: Advancing Visual Reasoning with Large Multimodal Models Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-07T13:53:26.829722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:53:26.829722Z digest=sha256:67c11944e3e86dcde473443096edcb05ff92e2c8954de1dd220dc679841edc1d

Observation cc6cad01-83a6-4d43-a62b-5a840f174b44 · inbound

Mitigating Hallucination in Large Vision-Language Models via Adaptive Attention Calibration cites this paper.

Mitigating Hallucination in Large Vision-Language Models via Adaptive Attention Calibration Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T12:52:18.032167Z

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=2026-05-19T12:48:44.324236Z digest=sha256:dae18230c268ee4f5f0a80bf9637e710c96b2f4985a64e8b76b7575897d178dc

Observation 0c3c586c-1bdf-4b3f-91e5-02a2c06c0dc2 · inbound

ONLY: One-Layer Intervention Sufficiently Mitigates Hallucinations in Large Vision-Language Models cites this paper.

ONLY: One-Layer Intervention Sufficiently Mitigates Hallucinations in Large Vision-Language Models Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T21:13:14.989837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:13:14.989837Z digest=sha256:143202cc1fd53538ee8d88ca437b4e046b7f03aa41380db4cb63034e78edd220

Observation e6e736bd-4e93-43c0-b1b6-97b0e7215400 · inbound

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

Energy-Guided Decoding for Object Hallucination Mitigation Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T18:39:30.046782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:39:30.046782Z digest=sha256:be4f99f20aa4d76ca76a31e884da782bfef983240ddc9da4f01f8fe426096028

Observation 1dadae72-8f9d-4a43-98a3-363fc9f4b752 · inbound

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

Controlling Multimodal LLMs via Reward-guided Decoding Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-05T19:52:50.351452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:52:50.351452Z digest=sha256:f237541a29a95512fdaae57bafcb3700f9f0f477394acc66d909cec566dfe3fb

Observation 41e5556c-9b7b-416f-a987-812599f4eeac · inbound

Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation cites this paper.

Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 144

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T00:34:47.830718Z

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=2026-05-10T00:33:39.960170Z digest=sha256:9d7abbacaa911e4adb668ebc2e8d24ffee738e9282516d794ef03933fa5e89fa

Observation 55069ce5-55ba-4b8c-b471-930e564833dd · inbound

Vocabulary Hijacking in LVLMs: Unveiling Critical Attention Heads by Excluding Inert Tokens to Mitigate Hallucination cites this paper.

Vocabulary Hijacking in LVLMs: Unveiling Critical Attention Heads by Excluding Inert Tokens to Mitigate Hallucination Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 52

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T05:16:24.277730Z

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=2026-05-12T05:15:34.156717Z digest=sha256:40a81970af4603fe6c85effbe343b325cd5bedd231b3262db703f4105b9f9381

Observation 70676449-ac19-4d05-8fc8-ffe2e263a691 · inbound

Dual-Pathway Circuits of Object Hallucination in Vision-Language Models cites this paper.

Dual-Pathway Circuits of Object Hallucination in Vision-Language Models Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:19:23.899818Z

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=2026-05-14T19:18:41.987533Z digest=sha256:dd6b1a2173fdaf2a5fac11a792b557a07b83aa789dc329b03aa323934e2014c8

Observation 91e84dcb-0f13-4740-ad3c-f10bfff18015 · inbound

Deep Pre-Alignment for VLMs cites this paper.

Deep Pre-Alignment for VLMs Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T16:27:39.556664Z

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=2026-05-19T16:26:41.094936Z digest=sha256:2cc3066799008b23489e932bd418a4bffcb22e26c7a42a70e145676695e49488

Observation d8941e03-670d-41bf-a096-1afb2571652b · inbound

A Nash Equilibrium Framework For Training-Free Multimodal Step Verification cites this paper.

A Nash Equilibrium Framework For Training-Free Multimodal Step Verification Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T06:13:05.258310Z

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=2026-05-20T06:10:36.290559Z digest=sha256:9ad5e6f39cd4354384fd4189ac63cfb92ef924dc8d10391169e81796cf91d9d3

Observation 55a1bdd9-3c6e-4879-8b3d-c6f28d14f29f · inbound

C-PTQ: Fisher-weighted Channel-wise Sensitivity for Post-training Quantization of MLLMs cites this paper.

C-PTQ: Fisher-weighted Channel-wise Sensitivity for Post-training Quantization of MLLMs Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 145

Resolution
unresolved
no resolver link, observed 2026-08-01T08:36:02.040356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T08:36:02.040356Z digest=sha256:1bf38863c3446775169087d3c5f2c61913fe021671f3f3051e2302f01cc64eaa

Observation 7fb642a5-c5d5-4275-9bb6-46359ae2ec2a · inbound

Witness Evidence Portfolios: Single-Prefill Risk Detection for Closed Multimodal Answers cites this paper.

Witness Evidence Portfolios: Single-Prefill Risk Detection for Closed Multimodal Answers Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T03:42:52.859007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:42:52.859007Z digest=sha256:55efd65bcc49cdf37e7990d586966d05fbde69ee43f1a0fc6d9b5a06b5ffe988