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Paper Citation Record · LEDGER

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation

As of 2 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 1 inbound Pith citation observation for arXiv:2604.12424.

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

pith.paper-citation-record.v1
2604.12424 v1

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:17:39.344348Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-01T06:32:01.292127+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T04:55:07.011418Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

66 of 66 outbound references displayed

  • verified exact25
  • verified fuzzy27
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch11

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fde33f16-4efa-4a1b-b26a-eda316cbd225 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.840846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:4ad3ecec18fa23d77c99853f5a6c456ab880b068d7009826b80741a0a18242be

Observation fbd797ed-c0c0-42e6-81c6-b45d78d01c09 · outbound

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

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Hallucination of Multimodal Large Language Models: A Survey

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:33:34.237418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:9d66c5bd364ab937e77c132b1b86f63be37795420660108dda0ad0f84556eb6b

Observation 1ed1429f-73e0-4cae-be1a-7a1f56b90912 · outbound

This paper cites arXiv preprint arXiv:2506.21509 (2025).

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2506.21509 (2025)

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:03.651345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:77513f17e8dd997a2cd2c1dd0b64c8c71ec5ee6bea1b661e5e5ff7a0d8bd78d9

Observation 7674b572-4e72-45a2-bde9-21a335f2ed96 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.843475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:4531146b437dea3509b74b56e2ddf776f13227e5f3e870cb3f442d0af4cc729f

Observation 8f3d0084-6a47-4140-8739-8eb03110e2d7 · outbound

This paper cites In: Eu- ropean Conference on Computer Vision.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Eu- ropean Conference on Computer Vision

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.835222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:452fc8d1ccdaf69f84a566e4e90e99c73ff528c1bcbbce0152cafd9e6ef2f1a9

Observation 86072198-1425-4b5d-9bec-e3dd5f6b254c · outbound

This paper cites arXiv preprint arXiv:2504.08809 (2025).

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2504.08809 (2025)

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:03.642587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:2cd0ef9f6ecd840d3cb7f31a8afcc451d09adc0dd85782008a6b8f2654abc78a

Observation 9f3042bf-ced5-462d-a37d-a71897749799 · outbound

This paper cites arXiv preprint (2025).

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint (2025)

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.831825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:199a822680b3421b7059a7a83a6518e4b87cef87c724ec5bc9781fc13faf4bb9

Observation a9053ca5-cef3-4608-9e71-c73787829db0 · outbound

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

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Do You Keep an Eye on What I Ask? Mitigating Multimodal Hallucination via Attention-Guided Ensemble Decoding

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:03.564111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:79f5a9b95f78461053cae14634c6d51c69d116a737dc6beea9410ccd48e9d48c

Observation 33e330bd-cddc-4f1c-ae65-28c7b0bf6c24 · outbound

This paper cites Advances in neural information processing systems36, 49250–49267 (2023).

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Advances in neural information processing systems36, 49250–49267 (2023)

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.825563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:a151f330b6e7e1f50bccc27e645b50b8068d8f8866d941e75b6f394047f6d6fb

Observation 632b84b8-b999-4417-ac5f-ea45e0418dbc · outbound

This paper cites A benchmark for ultra-high-resolution remote sensing mllms.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation A benchmark for ultra-high-resolution remote sensing mllms

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T10:51:03.495097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:56a8f7dfafc157da3bf23eb404245914ca670374f4ca244d21df17d48aa04650

Observation 9cc7f7da-6544-40b0-adf0-35f3224306a5 · outbound

This paper cites PaMi-VDPO: Mitigating Video Hallucinations by Prompt-Aware Multi-Instance Video Preference Learning.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation PaMi-VDPO: Mitigating Video Hallucinations by Prompt-Aware Multi-Instance Video Preference Learning

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:03.504789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:294a2949077d086466e40a6ba40a7b5f92e3e843fb97412fb17e4bd4f80b376d

Observation d528e179-c55b-4ce4-9a82-8708222d3d20 · outbound

This paper cites Truthprint: Miti- gating lvlm object hallucination via latent truthful-guided pre- intervention.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Truthprint: Miti- gating lvlm object hallucination via latent truthful-guided pre- intervention

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T10:51:03.721039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:e775bd2ca0945378c9352548211639a2d8480bc783932000ec32caa37b6d2a02

Observation fa057b77-f958-498c-8037-580762983962 · outbound

This paper cites arXiv preprint arXiv:2505.19678 (2025).

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2505.19678 (2025)

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:03.528132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:98a7910c9e800367d7cf07a9e143c89b5981c3993f18f1dea19e5cb00ad04c27

Observation d053b36e-308b-474a-a990-95989a370908 · outbound

This paper cites MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T10:51:03.774184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:f226fdea73e228504deb68a42994637b4ab2026c03cf0d6f14502e33cb9bc716

Observation 9c323f4d-a216-4647-83fb-1ecc98382195 · outbound

This paper cites LingoLoop Attack: Trapping MLLMs via Linguistic Context and State Entrapment into Endless Loops.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation LingoLoop Attack: Trapping MLLMs via Linguistic Context and State Entrapment into Endless Loops

Reference 15

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T10:51:03.485687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:33f48e1923d9f416c58a92cc8e7b405313a4f1b759e97a9ffe75264b6e7dad6f

Observation 6b2dddf4-5547-4be8-83f8-e9b2665c6e24 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.822513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:11c4dea22505c443a2a5614f716349beb69cdb94579170c8787a125813a98615

Observation 7a4be3a8-d7e5-420e-8037-2961667936bc · outbound

This paper cites In: The Thirty-ninth Annual Con- ference on Neural Information Processing Systems (NA).

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: The Thirty-ninth Annual Con- ference on Neural Information Processing Systems (NA)

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.829018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:e223a51eef0d285b43923fd016a0c5c328b6a1485ea09592a8eaaa6e81c46992

Observation ffa2f628-f6d5-452e-a250-8ad0f3dee4fc · outbound

This paper cites HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:03.746901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:636145b2de56a4893e3c4d36ab6dac1a92f2eab892dbdc57dcef146ee43b1e7e

Observation b592fb28-6c85-4597-ad91-ffa2970e0b98 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.837912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:37f3c744f6d7ceaac188ee4abc5db446569899ba5ecd0c5ba917b3a6579014f3

Observation f5404b34-b618-44f3-abfb-7bb95a1cdbc0 · outbound

This paper cites arXiv preprint arXiv:2509.21057 (2025).

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2509.21057 (2025)

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:03.608391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:e439a063aca65cd987915eb3ab377a2652782bdb247ae9a631a7d64256858820

Observation 64e51bcd-af99-4f0b-aafe-eaa4ed04194e · outbound

This paper cites Attention-space Contrastive Guidance for Efficient Hallucination Mitigation in LVLMs.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Attention-space Contrastive Guidance for Efficient Hallucination Mitigation in LVLMs

Reference 21

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T10:51:03.537046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:78ad0ea1f7aae7345b4268d56037bd11fb706162a4095fcac9557d99f597810c

Observation 32f58ed1-ceb5-4640-a052-b998fe002314 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.846189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:052108f7bd34d00f1236b08418a88d3dafe0f7c6159a24a1e4077ac7a5d02d7a

Observation dc53b29f-c187-4c9c-a36a-5dc55425bd31 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.848925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:675f0ac20334bd60167540d4a17f859f9a552812f00bf81f641521458b381a0e

Observation 9dbb3ad3-b3ac-4d2b-abde-55dbdd764b30 · outbound

This paper cites Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:03.657775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:7bc8e29d8c0f42ed1396c9da26ca018681cd221eb0de051df068a9792634da16

Observation 9f29c669-de04-4008-bffc-5a8b13541705 · outbound

This paper cites In: Proceedings of the 2023 conference on empirical methods in natural language processing.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Proceedings of the 2023 conference on empirical methods in natural language processing

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.809876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:d18b8933649cd511e2d713a4daed52f044358ed8b7b7b3447d53d95446656af1

Observation 77c24fc9-38b3-48cc-8175-6d3e5b729e9e · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.812948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:cee868f5c3b6a00c22c5bbb80b9607be93bb297c5fbe45bfe224bd638f287b43

Observation 6f9405e0-e620-47a2-a94d-98c3346e14c0 · outbound

This paper cites Advances in neural information processing systems36, 34892–34916 (2023).

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Advances in neural information processing systems36, 34892–34916 (2023)

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.817689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:fa30a655662c8c117e8e59d93bb887caec9784b6c1c1b0556fbd385c785eced2

Observation aaa877e6-f580-48d3-8796-01d9fefd90ac · outbound

This paper cites an unresolved cited work.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-05-18T04:12:23.767077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:c8b4717228d81c1fbd49c69c551bd556ec1b4a2a32ba7b68353fa2e908aeb962

Observation d6f58737-9ea2-411f-94df-b9c4c334869b · outbound

This paper cites In: The Thirteenth International Conference on Learning Representations (2025).

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: The Thirteenth International Conference on Learning Representations (2025)

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.793983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:8ba7fc163710f909bd39df1a84cc454d8478d0990d54abc7134b73c82a2cbfa6

Observation 072a712e-7b36-4387-874a-cbeb096ca640 · outbound

This paper cites arXiv preprint arXiv:2601.05144 (2026).

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2601.05144 (2026)

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:03.727200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:f9999183afb4f044f4cc25d141182d0545d00c0c38825b40e82ea2355c8a02e1

Observation 992ad29c-f1ce-4315-88c4-039fe42d8106 · outbound

This paper cites A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:03.573608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:3305c17fa0d6c0d06a0894473abb2218887032919b62cc7f1f4509cc74cd2f76

Observation 88308eed-84fd-41d0-b291-7e84831249e0 · outbound

This paper cites arXiv preprint arXiv:2601.05159 (2026) DeP 17.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2601.05159 (2026) DeP 17

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:03.673684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:fafb3a25f710d41603c2c8804eb0a6308381adad9ee92044af0c9d906774969a

Observation 37e1ac53-6d8a-4042-92d3-bcf807509e83 · outbound

This paper cites arXiv preprint arXiv:2507.14067 (2025).

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2507.14067 (2025)

Reference 33

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verified exact
arxiv_id, observed 2026-05-11T10:51:03.710591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:cbd7ec36ef6e0a4792a716a5b96bef18d0cd2d07fc996564c525011c50e53a27

Observation 69d9053c-0f0a-40ed-b2ab-7ca0f17542b7 · outbound

This paper cites Advances in Neural Information Processing Systems37, 122811–122832 (2024).

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Advances in Neural Information Processing Systems37, 122811–122832 (2024)

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.790701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:49328ef74d9b0cb9705fc10bf144ba68d34fedeb466f6f4658ce17ab56015548

Observation 68cbc437-c342-442b-becb-5b4a2b1491bc · outbound

This paper cites Computers in Biology and Medicine200, 111347 (2026).

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Computers in Biology and Medicine200, 111347 (2026)

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.784861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:fb5b742603e58eedf130e492b618d5a03ba970875cc6e77a0bc127164ddeba33

Observation 5c22f7f1-9d17-4162-a69a-64ddf896879b · outbound

This paper cites Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:03.752279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:77dffe9895a2ff353bc01b340a3371e6f263bb4c64a49cc6d15a3af455bdf589

Observation 5ceac95d-a141-4a07-9a87-c8ba6b754111 · outbound

This paper cites arXiv preprint arXiv:2601.06224 (2026).

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2601.06224 (2026)

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:03.666662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:fa34a5c210d69456c9cfd5bb9b040126c1fe3624734d7fc88183a2d11b8e6693

Observation 7a95a883-c7af-4c86-94c3-96873cc436c0 · outbound

This paper cites Omnisync: Towards universal lip synchronization via diffusion transformers.arXiv preprint arXiv:2505.21448.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Omnisync: Towards universal lip synchronization via diffusion transformers.arXiv preprint arXiv:2505.21448

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:03.596450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:46731c276f50c6ed7ec3e577664e885382938c5119af283c679df52b89342cfa

Observation 86734174-c227-4479-b319-9f5f5748cb1d · outbound

This paper cites In: Inter- national Conference on Sustainable Computing and Intelligent Systems.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Inter- national Conference on Sustainable Computing and Intelligent Systems

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.798285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:adabad1f4de86805d8543063775b58d468ae91a320fbf97c8c7aa64c4bc93f4d

Observation 22a90efd-48a4-4b3d-8e9f-51ac8e6496dc · outbound

This paper cites arXiv preprint arXiv:2601.23041 (2026).

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2601.23041 (2026)

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:03.695158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:c55e1b9d3feede00f185ca597f0766ff53e93573080fcf4132a749a0c58ad884

Observation 00ef46e0-d459-4948-83e8-d0444e5af3fc · outbound

This paper cites an unresolved cited work.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-05-18T04:12:23.805662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:73d624f1ffa082d9ae7194c25aeccb367a703ac20655489a8890f95863ddfe95

Observation f0e50048-0a47-4b78-b041-9f2d82c33952 · outbound

This paper cites In: Proceedings of the 63rd Annual Meeting of the Asso- ciation for Computational Linguistics (Volume 1: Long Papers).

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Proceedings of the 63rd Annual Meeting of the Asso- ciation for Computational Linguistics (Volume 1: Long Papers)

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.778402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:56812a467b49da0dd40c3fb67e0798197bbd771e716b4307f9c9dc92b77a2adb

Observation 5a5393ad-af59-4ca6-b3e5-f7c6c3a8f9a8 · outbound

This paper cites In: Ku, L.W., Martins, A., Srikumar, V.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Ku, L.W., Martins, A., Srikumar, V

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.786627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:90717ca4e1ea4fab16f595dbd0706fb4edad4ba9f5fde634f6fe3277eb58b9f4

Observation 11ae3c8b-3106-4869-bb0d-54d219c13e81 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.774274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:c88751973807bfd1ccc2abb5fab57094726e87f65f6d9569dc433153dc731579

Observation 9f55d9b0-1279-4e46-a265-fe5ae8369c83 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.797605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:1fc21b7870d6827b9fb74c9792881a2b3715701c26a5c4e4aa59dc5081d03d25

Observation cf87b4ba-86fc-4e39-b3a3-1678dd70f45e · outbound

This paper cites arXiv preprint arXiv:2504.13169 , year=.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2504.13169 , year=

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:03.635141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:d326d4f7f9d8c67211ba3c52e59bf98c85c4b666df31d159a47ade178338b7ab

Observation 499af4ec-1437-4056-a428-d5a2548865f2 · outbound

This paper cites an unresolved cited work.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-05-18T04:12:23.764742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:e955390a670d32b37c5c31431c564b6d477bd8d360240aad4b1fbfbd923a851c

Observation f0ffe181-c90a-4845-8004-85fe8dfc07d2 · outbound

This paper cites MACD: Model-Aware Contrastive Decoding via Counterfactual Data.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation MACD: Model-Aware Contrastive Decoding via Counterfactual Data

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-06-08T02:04:45.760376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:1557e4fc37784bb171439946bbf3010cebf51a9d86bbb40e2eb7eeba30d5742e

Observation 4a88dbe3-0b0a-47b6-a97a-31cd96ea2497 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.767902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:35d7a01cc15253e097ed0e2f6159ad7ab2a1cbb52baac4551e53ac0a36af513a

Observation 84aaf3e9-4696-4faf-a22f-8e6961c24d22 · outbound

This paper cites arXiv preprint arXiv:2506.22283 (2025).

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2506.22283 (2025)

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:03.589481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:2f3ac649005c0a72e69405e3f90c0bb6cd42d40f27d8484d4fc35d0dd1b35e8c

Observation b44070c8-efdf-4068-ba0d-3b2824a0ad36 · outbound

This paper cites In: Pro- ceedings of the Computer Vision and Pattern Recognition Conference.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Pro- ceedings of the Computer Vision and Pattern Recognition Conference

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.783230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:40185049d75a4446c2fa0621dac5bed3388822ec63cf897364d4c76fe45ff9d1

Observation 07f54347-ea8d-48a0-84cc-0820e084e454 · outbound

This paper cites arXiv preprint arXiv:2512.02981 (2025).

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2512.02981 (2025)

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:03.580028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:a0e4679ce7705d41948530380bce325c43aa92a240748ea295ae720e99896ad4

Observation 3e133cd2-5652-485e-afa5-8e0a2974f305 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.802112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:090759d6d1d9c7495c2a995b87d15c60c34df21ffb3abb2694e9760ff894e5c8

Observation 6885d958-151b-47fd-8472-ae30deba940f · outbound

This paper cites Science China Information Sciences67(12), 220105 (2024).

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Science China Information Sciences67(12), 220105 (2024)

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.760978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:d99255296537347755b1b914aaa9461cf963a425396cd39ae3c1dd758c8889ca

Observation 159c0420-4dc4-4e6c-bd8d-dbef1ae14588 · outbound

This paper cites Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models

Reference 55

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T10:51:03.628937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:41d7b9767d9ebfebac440451b71ef6a0fa560a57562692943aeb310ae7b6b559

Observation 025c814b-a7d3-41c8-9605-dc232678a373 · outbound

This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 56

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T19:53:25.827023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:dcc450a0a5eca53820b00ac68257b79b2e41ed5ca312761f2c1b3d3784f27dd5

Observation fb8ce0cb-0b20-441f-9049-f40fabb79b70 · outbound

This paper cites CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:03.758373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:b0b7f13dd20fd6bf42c6ac65e28bc2e01abfe444de6a85e82c1792119bf6e1e5

Observation 20012935-d1c2-443b-80fa-068d43593357 · outbound

This paper cites arXiv preprint arXiv:2601.20279 (2026).

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2601.20279 (2026)

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:03.546569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:4e62b2a5b1fe95165410c56af326621ddc9b6216ba545b80003c2e3cb67efb92

Observation 4fd40dad-e259-44af-8477-a5422eadcb23 · outbound

This paper cites MM-RLHF: The Next Step Forward in Multimodal LLM Alignment.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 59

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T10:51:03.556344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:ec308ea4f29ae3496b8b268b541504056676b31b5cb654aa196e7c914a292821

Observation f9fcdeff-0e90-4112-9980-c9f656317e04 · outbound

This paper cites arXiv preprint arXiv:2510.02342 (2025).

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2510.02342 (2025)

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:03.517933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:400617d3a4a06d3e9933a85f9ea4e010b8aa3079b6e4d33cb4678a83c15c4612

Observation e45be96c-5183-4dad-a844-9f794b75f495 · outbound

This paper cites In: 2025 IEEE 8th International Conference on Multimedia Information Processing and Retrieval (MIPR).

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: 2025 IEEE 8th International Conference on Multimedia Information Processing and Retrieval (MIPR)

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.753542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:62b5d5a5a57936266d392d08f77a503471754d4015bc867517e7c2ce66c0e7df

Observation 36a31652-ca4f-46f5-997f-8cff612692f8 · outbound

This paper cites arXiv preprint arXiv:2505.14257 (2025) DeP 19.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2505.14257 (2025) DeP 19

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:03.768877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:dcc88a70980a3968b1bacb3e06b0d540f3650c1d1e0600eb1759fe7c61589708

Observation e3f67f33-8da7-4572-8ff8-6da33d57a920 · outbound

This paper cites Cross- image contrastive decoding: Precise, lossless suppression of language priors in large vision-language models.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Cross- image contrastive decoding: Precise, lossless suppression of language priors in large vision-language models

Reference 63

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T10:51:03.602521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:c6c6249435042304ddbf9c3d3aaf1a58d1af059d2c7fdb23b0a2db326d451335

Observation a7df3263-2e3f-4ecb-b9fa-e610c366f56d · outbound

This paper cites Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization

Reference 64

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T10:52:37.519567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:b651a62b0bd6f22cf0f9fbb475c63d8cc15ee963e69c12b00437b6efe5b07e70

Observation 3f262b26-d366-42b6-b866-222bc81c9aa9 · outbound

This paper cites arXiv preprint arXiv:2601.07291 (2026).

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation arXiv preprint arXiv:2601.07291 (2026)

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:03.689039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:472c94620223bddf581b537fe1be53f915a56ee73c7a95d59bcf40923cf32aeb

Observation 742519c1-02cc-4d0c-96a5-40cdfdfb5c69 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:12:23.757113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:3c5c63513d822a79355de6212a3126f1402ee106b530228274985c37ad0ee01d

Pith citing papers

Observation aaebe2bc-360c-48e9-a3d6-c8491c072051 · inbound

Beyond Frame Selection: Generative Latent Evidence Aggregation for Long-Video Understanding cites this paper.

Beyond Frame Selection: Generative Latent Evidence Aggregation for Long-Video Understanding Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-31T04:55:07.011418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T04:55:07.011418Z digest=sha256:58521ba4a1431b2580edd67f4eb3bc156e700b3857be7733a1a41e7bae5d4751