Paper Citation Record · LEDGER

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing

As of 18 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 4 inbound Pith citation observations for arXiv:2505.21547.

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

pith.paper-citation-record.v1
2505.21547 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:28:01.636998Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T14:03:01.974171Z

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

45 of 45 outbound references displayed

verified exact0
verified fuzzy16
unresolved28
parse uncertain0
malformed identifier1
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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation a7f89ee4-6ae8-4666-9856-2852cbe51c38 · outbound

This paper cites Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:57.565665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bdb6fa9-9fb7-48a6-a6a5-c6fd77b1ae55 · outbound

This paper cites Self-introspective decoding: Alleviating hallucinations for large vision-language models, 2024.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Self-introspective decoding: Alleviating hallucinations for large vision-language models, 2024

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:57.604423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9c433d7-ed2d-4c60-b5d8-1a83c34e7f3b · outbound

This paper cites Code: Contrasting self-generated description to combat hallucination in large multi-modal models, 2024.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Code: Contrasting self-generated description to combat hallucination in large multi-modal models, 2024

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:57.704646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75c75daf-7572-4fd2-b662-d86aae846d75 · outbound

This paper cites Ibd: Alleviating hallucinations in large vision-language models via image-biased decoding, 2024.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Ibd: Alleviating hallucinations in large vision-language models via image-biased decoding, 2024

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:28:04.918305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8440c6d4-441b-4cdf-a847-ad540deb911f · outbound

This paper cites Opera: Alleviating hallucination in multi-modal large language models via over-trust penalty and retrospection-allocation, 2024.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Opera: Alleviating hallucination in multi-modal large language models via over-trust penalty and retrospection-allocation, 2024

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:28:04.766887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1ee8520a-95e1-46a6-ac0b-586354530e1f · outbound

This paper cites Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:57.965731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07c61a33-34b3-4c26-9db9-c3e3c10531b7 · outbound

This paper cites Chameleon: Mixed-modal early-fusion foundation models, 2024.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Chameleon: Mixed-modal early-fusion foundation models, 2024

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:28:04.583561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 13b8ce95-fa5b-4c07-a743-d632b306e3b6 · outbound

This paper cites Emu3: Next-token prediction is all you need, 2024.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Emu3: Next-token prediction is all you need, 2024

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:58.114629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3182d595-a4d8-424d-bfef-505b1a909d52 · outbound

This paper cites Janus: Decoupling visual encoding for unified multimodal understanding and generation, 2024.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Janus: Decoupling visual encoding for unified multimodal understanding and generation, 2024

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:28:04.429668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b2986500-72c7-4e5e-b484-e5994d4dc16c · outbound

This paper cites From Principles to Applications: A Comprehensive Survey of Discrete Tokenizers in Generation, Comprehension, Recommendation, and Information Retrieval.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing From Principles to Applications: A Comprehensive Survey of Discrete Tokenizers in Generation, Comprehension, Recommendation, and Information Retrieval

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:58.245006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc5a5d7e-765c-44c6-bbe2-f544bc5bb212 · outbound

This paper cites Show-o: One single transformer to unify multimodal understanding and generation, 2024.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Show-o: One single transformer to unify multimodal understanding and generation, 2024

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:58.344157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c99a107e-aab5-4161-bf49-fc6faf62405d · outbound

This paper cites Anygpt: Unified multimodal llm with discrete sequence modeling, 2024.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Anygpt: Unified multimodal llm with discrete sequence modeling, 2024

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:58.461152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71138f3d-3b55-4a3d-810b-bbe80cdb98c7 · outbound

This paper cites Janus-pro: Unified multimodal understanding and generation with data and model scaling, 2025.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Janus-pro: Unified multimodal understanding and generation with data and model scaling, 2025

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:58.537656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca3c074a-5b51-4347-af22-492564f5c003 · outbound

This paper cites Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:58.571076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa528f55-91e4-4b5c-92d6-3152234f2932 · outbound

This paper cites Analyzing and mitigating object hallucination in large vision-language models, 2024.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Analyzing and mitigating object hallucination in large vision-language models, 2024

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:28:04.156595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f1ab180f-d3cb-4eb6-aa88-90abf58f5909 · outbound

This paper cites Visual commonsense r-cnn, 2020.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Visual commonsense r-cnn, 2020

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:28:04.015454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3dc14a1c-bff5-4318-8d7c-d8b166c3f94e · outbound

This paper cites MacQueen.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing MacQueen

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:58.843833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daa1d573-0ee2-45df-82a6-c733af7d3eac · outbound

This paper cites Object hallucination in image captioning, 2019.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Object hallucination in image captioning, 2019

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:28:03.903963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2f1fe67d-4edb-4a46-b477-f3beb4ae5965 · outbound

This paper cites Evaluating object hallucination in large vision-language models, 2023.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Evaluating object hallucination in large vision-language models, 2023

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:58.993497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9674c5f7-15b7-49a1-b19c-93fb61f50c38 · outbound

This paper cites Contrastive decoding: Open-ended text generation as optimization, 2023.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Contrastive decoding: Open-ended text generation as optimization, 2023

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:28:03.773229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fc61362c-e981-4bdb-9083-9c66bae216f2 · outbound

This paper cites Improved baselines with visual instruction tuning, 2024.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Improved baselines with visual instruction tuning, 2024

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:59.235205Z

Source-reported events for the cited work

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Observation b746a2f3-02fc-4ac3-acf7-60c0d316104a · outbound

This paper cites Investigating and mitigating object hallucinations in pretrained vision-language (clip) models, 2024.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Investigating and mitigating object hallucinations in pretrained vision-language (clip) models, 2024

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:28:03.617743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d290a7c4-74f8-47dd-abc4-6ee9cd13dadd · outbound

This paper cites Neural discrete representation learning, 2018.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Neural discrete representation learning, 2018

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:59.434393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dc29557-bc34-4842-9399-c6f9662c3fa5 · outbound

This paper cites Taming transformers for high-resolution image synthesis, 2021.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Taming transformers for high-resolution image synthesis, 2021

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:59.506999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 753a32f4-dd31-47ea-b15c-4844b9d83ea8 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:59.601721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43c7ea7e-0584-47d2-88ce-fccab49a8b7b · outbound

This paper cites Lawrence Zitnick, and Piotr Dollár.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Lawrence Zitnick, and Piotr Dollár

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:59.720731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7749e5a5-5b12-4fd7-9c1d-c6419684f7a8 · outbound

This paper cites How attentive are graph attention networks?, 2022.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing How attentive are graph attention networks?, 2022

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:28:03.477293Z

Source-reported events for the cited work

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Observation b1d0d87c-989d-46b7-8962-78310d944334 · outbound

This paper cites Representation learning with contrastive predictive coding, 2019.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Representation learning with contrastive predictive coding, 2019

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:59.939449Z

Source-reported events for the cited work

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Observation f7d20a56-dad9-454e-84ee-ce2440358537 · outbound

This paper cites Amber: An llm-free multi-dimensional benchmark for mllms hallucination evaluation, 2024.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Amber: An llm-free multi-dimensional benchmark for mllms hallucination evaluation, 2024

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:28:03.368498Z

Source-reported events for the cited work

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Observation 07e8f622-0b2d-446e-a608-8452ff67726e · outbound

This paper cites Rlaif-v: Open-source ai feedback leads to super gpt-4v trustworthiness, 2024.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Rlaif-v: Open-source ai feedback leads to super gpt-4v trustworthiness, 2024

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:28:00.139817Z

Source-reported events for the cited work

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Observation 8ff935af-12e1-4405-972d-6f519d351131 · outbound

This paper cites Mme: A comprehensive evaluation benchmark for multimodal large language models, 2024.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Mme: A comprehensive evaluation benchmark for multimodal large language models, 2024

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:28:00.220061Z

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Observation 8c0b4a55-ff0f-4e1e-961c-f2eac5669d50 · outbound

This paper cites Rlhf-v: Towards trustworthy mllms via behavior alignment from fine-grained correctional human feedback, 2024.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Rlhf-v: Towards trustworthy mllms via behavior alignment from fine-grained correctional human feedback, 2024

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:28:03.239667Z

Source-reported events for the cited work

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Observation 9f939dc7-ba98-489f-9e64-6bae9995da69 · outbound

This paper cites Detecting and Preventing Hallucinations in Large Vision Language Models.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Detecting and Preventing Hallucinations in Large Vision Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:28:00.419075Z

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Observation 33fc3616-d7f2-4208-8b10-2f96a8de2036 · outbound

This paper cites Improving autoregressive visual generation with cluster-oriented token prediction, 2025.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Improving autoregressive visual generation with cluster-oriented token prediction, 2025

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:28:00.534874Z

Source-reported events for the cited work

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Observation 025eb8f8-29af-405d-b8c3-3c8e436fc15e · outbound

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Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Unresolved cited work

Reference 35

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Source-reported events for the cited work

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Observation 9a84deff-d46b-4a13-bcc3-f97233d9048e · outbound

This paper cites xformers: A modular and hack- able transformer modelling library.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing xformers: A modular and hack- able transformer modelling library

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T14:28:00.731846Z

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Observation 16fa03d4-baf2-4ebf-832f-d4ab1b5bc399 · outbound

This paper cites Towards understanding how knowledge evolves in large vision-language models, 2025.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Towards understanding how knowledge evolves in large vision-language models, 2025

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:28:03.040706Z

Source-reported events for the cited work

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Observation de194522-6d68-42d0-8d0f-da12efce2775 · outbound

This paper cites Eliciting latent predictions from transformers with the tuned lens, 2023.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Eliciting latent predictions from transformers with the tuned lens, 2023

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T14:28:00.969597Z

Source-reported events for the cited work

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Observation 8b324683-1ab2-465b-baef-2262df2af643 · outbound

This paper cites Llava-next: Improved reasoning, ocr, and world knowledge, January 2024.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Llava-next: Improved reasoning, ocr, and world knowledge, January 2024

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T14:28:01.049963Z

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Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Describe this image

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:28:02.887498Z

Source-reported events for the cited work

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Observation 0db4d7b4-cc36-4e1b-8d83-f68d860a0716 · outbound

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Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:28:02.748382Z

Source-reported events for the cited work

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Observation 2528ea71-57a6-456d-987c-7eb536a251f9 · outbound

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Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:28:02.580041Z

Source-reported events for the cited work

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Observation 04b546da-c988-4f3c-9889-3b96439ae016 · outbound

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Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing as part of the object name in your result

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:28:02.436217Z

Source-reported events for the cited work

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Observation 8b50245c-21ca-45bb-be74-8f60c41aa8a1 · outbound

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Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing object 1

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:28:02.196414Z

Source-reported events for the cited work

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Observation e70a4590-37cd-4bb1-a6e4-6b2b491e44bd · outbound

This paper cites The image displays.

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing The image displays

Reference 45

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Source-reported events for the cited work

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Pith citing papers

Observation 8cf7a9e4-c225-45e5-afff-a84c3271eeba · inbound

The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook cites this paper.

The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing

Reference 224

Resolution: unresolved; no resolver link, observed 2026-07-13T14:03:01.974171Z

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Observation e63476e1-3440-4969-808d-cdea61c1ca4f · inbound

FeynmanBench: Benchmarking Multimodal LLMs on Diagrammatic Physics Reasoning cites this paper.

FeynmanBench: Benchmarking Multimodal LLMs on Diagrammatic Physics Reasoning Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-13T16:52:59.443243Z

Source-reported events for the cited work

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Observation 4eb6bd6e-b563-46a8-808c-58cbcfca0bcb · inbound

FeynmanBench: Benchmarking Multimodal LLMs on Diagrammatic Physics Reasoning cites this paper.

FeynmanBench: Benchmarking Multimodal LLMs on Diagrammatic Physics Reasoning Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-13T12:10:53.720348Z

Source-reported events for the cited work

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Observation 12eb500d-62b4-4d9f-aa2d-6fbc85357130 · inbound

Visual Latents Know More Than They Say: Unsilencing Latent Reasoning in MLLMs cites this paper.

Visual Latents Know More Than They Say: Unsilencing Latent Reasoning in MLLMs Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:36:09.558238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.