Paper Citation Record · LEDGER

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

As of 20 August 2026, this Paper Citation Record lists 100 of 235 outbound references and 32 inbound Pith citation observations for arXiv:2504.13180.

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

pith.paper-citation-record.v1
2504.13180 v3

Coverage vector

measured 100 of 235 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:19:36.917814Z

measured 132 of 132 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:35:44.870369Z

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

100 of 235 outbound references displayed

verified exact1
verified fuzzy0
unresolved99
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 16ca75ab-6316-46f7-87ef-10347eaf7f55 · outbound

This paper cites Visual instruction tuning.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Visual instruction tuning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.433312Z

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Observation 3a048876-d40d-4740-97ab-02b68cc5099d · outbound

This paper cites Sharegpt-4o: Comprehensive multimodal annotations with gpt-4o, 2024.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Sharegpt-4o: Comprehensive multimodal annotations with gpt-4o, 2024

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.439892Z

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Observation b611945f-069b-4791-9049-12a434cfeff1 · outbound

This paper cites Sharegpt4v: Improving large multi-modal models with better captions.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Sharegpt4v: Improving large multi-modal models with better captions

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.444904Z

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Observation 8a525e0e-bb21-4904-b92e-29df26792509 · outbound

This paper cites Finevideo: behind the scenes, 2024.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Finevideo: behind the scenes, 2024

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.449728Z

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Observation c492a6bb-b5d3-4bc5-87e5-ac11f57d5a76 · outbound

This paper cites Video instruction tuning with synthetic data, 2024.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Video instruction tuning with synthetic data, 2024

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.454622Z

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Observation c44d3654-2579-4e20-b1e4-fb6f56135dc3 · outbound

This paper cites ShareGPT4Video: Improving Video Understanding and Generation with Better Captions.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding ShareGPT4Video: Improving Video Understanding and Generation with Better Captions

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.459440Z

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Observation 325ab784-ef84-425f-92c9-a3c7369a4249 · outbound

This paper cites EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.465422Z

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Observation 43398dab-a72d-4441-b1e2-55da1f3df5d2 · outbound

This paper cites HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.470416Z

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Observation 14f6e097-9e1a-4291-9a8a-0ac7eeac1f9e · outbound

This paper cites Where does it exist: Spatio-temporal video grounding for multi-form sentences.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Where does it exist: Spatio-temporal video grounding for multi-form sentences

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.475449Z

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Observation d1af8518-3d95-479e-8906-9f88ae1a770f · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.479853Z

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Observation f1a6f1ea-4eb4-4391-b086-a6c76dc81130 · outbound

This paper cites Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.484457Z

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Observation 67cfed3d-5642-4c01-a041-1649df3fb22f · outbound

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

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Llava-next: Improved reasoning, ocr, and world knowledge, January 2024

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.489108Z

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Observation 142ca518-f2e4-4386-9f7b-9f524b8f3bb6 · outbound

This paper cites The Llama 3 Herd of Models.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding The Llama 3 Herd of Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.493417Z

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Observation 92330894-b3d3-4abe-b053-4f782f2550dc · outbound

This paper cites mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.498151Z

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Observation 108f75cf-f89d-4de6-8385-6eba40d76e9c · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.502746Z

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Observation b337e501-00b9-4dd9-b1d4-deac0b119bbe · outbound

This paper cites Flamingo: a Visual Language Model for Few-Shot Learning.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Flamingo: a Visual Language Model for Few-Shot Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.507718Z

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Observation 27fea407-90ae-4867-a924-29b541458a28 · outbound

This paper cites Vila: On pre- training for visual language models.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Vila: On pre- training for visual language models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.512477Z

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Observation 830a7ec6-e930-45ed-9711-0f60cdbed056 · outbound

This paper cites DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.517413Z

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Observation d3988dee-b4ee-4bf1-ad25-ca63bd140d40 · outbound

This paper cites Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.522967Z

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Observation 83d3b4f6-dbe0-4ad2-a728-7944bf161e53 · outbound

This paper cites Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.527507Z

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Observation 15a44779-8703-4016-99c9-c504bc4ec177 · outbound

This paper cites VideoChat: Chat-Centric Video Understanding.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding VideoChat: Chat-Centric Video Understanding

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.531929Z

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Observation 6aa03cf5-150d-41a0-bfb9-9eb7bdf42f01 · outbound

This paper cites VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.536792Z

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Observation aa8098cc-cf6b-4254-ad36-9324668d7b77 · outbound

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

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.541708Z

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Observation c9767c1c-77f6-449e-8e2b-03b2b93abe5d · outbound

This paper cites Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.546578Z

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Observation 59e0e807-d82b-402a-842e-9e2b9a188f77 · outbound

This paper cites LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.552155Z

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Observation cf7b1ea1-0e59-4378-bfe5-814968b28754 · outbound

This paper cites Longvlm: Efficient long video understanding via large language models.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Longvlm: Efficient long video understanding via large language models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.557090Z

Source-reported events for the cited work

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Observation 2e779e7f-4f47-466b-9110-9869485177f9 · outbound

This paper cites VideoAgent: Long-form Video Understanding with Large Language Model as Agent.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.561597Z

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Observation 3c5dbe1b-4619-4bd7-a977-98491a6aab08 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding LLaVA-OneVision: Easy Visual Task Transfer

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.566251Z

Source-reported events for the cited work

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Observation 1fab2509-b331-4909-a6cc-0558d4851560 · outbound

This paper cites Anymal: An efficient and scalable any-modality augmented language model.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Anymal: An efficient and scalable any-modality augmented language model

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.570808Z

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Observation 000576c0-9e8e-48ab-b6e4-9586afe5f8b4 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.575302Z

Source-reported events for the cited work

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Observation 0c0bb014-6a46-406a-a79a-3156e534898d · outbound

This paper cites Don't Look Twice: Faster Video Transformers with Run-Length Tokenization.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Don't Look Twice: Faster Video Transformers with Run-Length Tokenization

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.579952Z

Source-reported events for the cited work

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Observation d1862ffb-7313-4922-bce3-aaba6a4eda55 · outbound

This paper cites Gpt-4v(ision) system card, 2023.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Gpt-4v(ision) system card, 2023

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.584792Z

Source-reported events for the cited work

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Observation 338771fa-3acd-446f-bf72-03e0d55cbdb9 · outbound

This paper cites Gpt-4o system card, 2024.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Gpt-4o system card, 2024

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.590068Z

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Observation 78f2af48-f529-42b6-9720-0c198ed5e422 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Gemini: A Family of Highly Capable Multimodal Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.595350Z

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Observation 940f928e-1b35-4234-b7db-4386b4679e9c · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.600023Z

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Observation 11900aaa-fc6c-4aa7-a5d1-174a2b804596 · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding The claude 3 model family: Opus, sonnet, haiku

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.604511Z

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Observation f7c513db-7dfc-4a03-8fb9-0c44daddaa26 · outbound

This paper cites Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.609122Z

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Observation 1480b762-335e-4750-93ba-9af59537700a · outbound

This paper cites Mmbench: Is your multi-modal model an all-around player? In European conference on computer vision, pages 216–233.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Mmbench: Is your multi-modal model an all-around player? In European conference on computer vision, pages 216–233

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.613585Z

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Observation a66b0859-6aa2-4deb-a6c8-7dbe8c9448bb · outbound

This paper cites A-okvqa: A benchmark for visual question answering using world knowledge, 2022.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding A-okvqa: A benchmark for visual question answering using world knowledge, 2022

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.618270Z

Source-reported events for the cited work

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Observation b8a069c1-855d-4703-92cf-de4b0b2154bd · outbound

This paper cites Vizwiz: nearly real-time answers to visual questions.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Vizwiz: nearly real-time answers to visual questions

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.623425Z

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Observation fec5040a-9dd1-4619-b2ac-7cee39082a1e · outbound

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

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.628596Z

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Observation f68a8351-1612-4a5a-87ae-24d735c84c96 · outbound

This paper cites MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.633434Z

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Observation c5d40bcc-f888-44b8-b6f0-c21f3066f810 · outbound

This paper cites Are We on the Right Way for Evaluating Large Vision-Language Models?.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Are We on the Right Way for Evaluating Large Vision-Language Models?

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.638288Z

Source-reported events for the cited work

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Observation 5b666324-d314-4bcb-9635-c0a985489d67 · outbound

This paper cites Blink: Multimodal large language models can see but not perceive.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Blink: Multimodal large language models can see but not perceive

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.643074Z

Source-reported events for the cited work

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Observation 524002db-2b40-4b4e-9d14-50f16a6f5e8a · outbound

This paper cites Realworldqa benchmark.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Realworldqa benchmark

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.648271Z

Source-reported events for the cited work

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Observation 11cfde4b-e409-404d-a7fc-9fa47b040793 · outbound

This paper cites WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.653521Z

Source-reported events for the cited work

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Observation c2c25d4d-1d58-473a-98bd-914753cb556f · outbound

This paper cites MANTIS: Interleaved Multi-Image Instruction Tuning.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding MANTIS: Interleaved Multi-Image Instruction Tuning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.658561Z

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Observation 369c0858-dd28-4ac2-9d44-11c325b56693 · outbound

This paper cites MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.663697Z

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Observation 3f6672c5-1ff3-480b-a74f-fa1c8e916947 · outbound

This paper cites Microsoft coco: Common objects in context.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Microsoft coco: Common objects in context

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.668535Z

Source-reported events for the cited work

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Observation e1506e30-27c7-4c7b-bfb5-cc69f77f826d · outbound

This paper cites Nocaps: Novel object captioning at scale.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Nocaps: Novel object captioning at scale

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.673236Z

Source-reported events for the cited work

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Observation a73ebd77-8a9d-4c79-99f3-48a282097279 · outbound

This paper cites From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.677990Z

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Observation c714fac2-7c3c-4f18-bb3e-05cdaa8dee75 · outbound

This paper cites Towards vqa models that can read.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Towards vqa models that can read

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.682652Z

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Observation 0d7a51e6-8026-4ef4-8dc2-1d0433f71800 · outbound

This paper cites an unresolved cited work.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Unresolved cited work

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.687155Z

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Observation 4c43630a-20ec-4d84-a900-3e0e80d9c64f · outbound

This paper cites Advancing Chart Question Answering with Robust Chart Component Recognition.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Advancing Chart Question Answering with Robust Chart Component Recognition

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-08-16T12:19:38.537693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation de527b50-6dbc-42b0-b065-316309f9b995 · outbound

This paper cites A diagram is worth a dozen images, 2016.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding A diagram is worth a dozen images, 2016

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.698287Z

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Observation 06f64dd8-f3d2-46e3-923f-499ee0a04cf9 · outbound

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PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Unresolved cited work

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.702889Z

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Observation 9be40560-095c-491e-9eea-0e5f9b3b3599 · outbound

This paper cites Ocrbench: on the hidden mystery of ocr in large multimodal models.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Ocrbench: on the hidden mystery of ocr in large multimodal models

Reference 57

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This paper cites SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.712171Z

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Observation 6bd37f51-f0fd-4f8b-8147-8f7e4cecb931 · outbound

This paper cites CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

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Observation aceb6ef3-34d4-49b2-8196-2d1aea9d99f3 · outbound

This paper cites From recognition to cognition: Visual commonsense reasoning.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding From recognition to cognition: Visual commonsense reasoning

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Observation b70de624-4752-41e8-b45b-e32d1a8f81e0 · outbound

This paper cites Learn to explain: Multimodal reasoning via thought chains for science question answering.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Learn to explain: Multimodal reasoning via thought chains for science question answering

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.727449Z

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Observation 4246225f-b79b-4929-995e-e7f9123c6bc3 · outbound

This paper cites Mathverse: Does your multi-modal llm truly see the diagrams in visual math problems? In European Conference on Computer Vision, pages 169–186, 2025.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Mathverse: Does your multi-modal llm truly see the diagrams in visual math problems? In European Conference on Computer Vision, pages 169–186, 2025

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.732217Z

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Observation 1f3ceeac-ffca-461d-8a67-d4095ac5b3b1 · outbound

This paper cites MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.737233Z

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Observation 2ed44cf2-e708-48a7-b235-535dcb997b59 · outbound

This paper cites Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset

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Observation 750f8264-b226-4935-b8ae-ca15a37c60bd · outbound

This paper cites Revisiting Referring Expression Comprehension Evaluation in the Era of Large Multimodal Models.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Revisiting Referring Expression Comprehension Evaluation in the Era of Large Multimodal Models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.748237Z

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Observation 8f746fb6-72f7-48a5-9544-af59859f16b3 · outbound

This paper cites Visual genome: Connecting language and vision using crowdsourced dense image annotations.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Visual genome: Connecting language and vision using crowdsourced dense image annotations

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.752963Z

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This paper cites Hallusionbench: an advanced diagnostic suite for entangled language hallucination and visual illusion in large vision-language models.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Hallusionbench: an advanced diagnostic suite for entangled language hallucination and visual illusion in large vision-language models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.757707Z

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This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Evaluating Object Hallucination in Large Vision-Language Models

Reference 68

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Observation a92d91a9-eed8-4b6e-bb55-8b476e87e987 · outbound

This paper cites Next-qa: Next phase of question-answering to explaining temporal actions.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Next-qa: Next phase of question-answering to explaining temporal actions

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.767843Z

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Observation 13d48eb5-8296-4901-9411-78349347a32b · outbound

This paper cites Mvbench: A comprehensive multi-modal video understanding benchmark.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Mvbench: A comprehensive multi-modal video understanding benchmark

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.773067Z

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This paper cites Perception test: A diagnostic benchmark for multimodal video models.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Perception test: A diagnostic benchmark for multimodal video models

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.777598Z

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Observation b6c9ba23-dfd0-416a-86bc-897eb47a4de9 · outbound

This paper cites Star: A benchmark for situated reasoning in real-world videos.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Star: A benchmark for situated reasoning in real-world videos

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.782318Z

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Observation c749c94c-1f2b-4c7f-9d96-db90b140502c · outbound

This paper cites Tgif-qa: Toward spatio- temporal reasoning in visual question answering.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Tgif-qa: Toward spatio- temporal reasoning in visual question answering

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.786825Z

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Observation 950d872f-70aa-491e-ab8b-9a6241880bdd · outbound

This paper cites TVQA: Localized, Compositional Video Question Answering.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding TVQA: Localized, Compositional Video Question Answering

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.791298Z

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Observation a16e8d0c-ca51-4034-9d34-8f68480ce1d5 · outbound

This paper cites Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.796176Z

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Observation a8843b2a-2896-4094-b6ea-0a3e5c1062b1 · outbound

This paper cites Activitynet-qa: A dataset for understanding complex web videos via question answering.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Activitynet-qa: A dataset for understanding complex web videos via question answering

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.801127Z

Source-reported events for the cited work

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Observation 99046912-b16a-4197-9d4e-81770bcf636e · outbound

This paper cites Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.805570Z

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Observation a6f04011-2e93-4114-a36c-edf06bd2dc7b · outbound

This paper cites Vinoground: Scrutinizing LMMs over Dense Temporal Reasoning with Short Videos.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Vinoground: Scrutinizing LMMs over Dense Temporal Reasoning with Short Videos

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.810695Z

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Observation bab3da26-6402-45d4-aecf-bf17ed42d31b · outbound

This paper cites MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.815801Z

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Observation eb4cdb90-95e4-4514-9f5a-af4e447517b5 · outbound

This paper cites Lost in Time: A New Temporal Benchmark for VideoLLMs.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Lost in Time: A New Temporal Benchmark for VideoLLMs

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.820475Z

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Observation e3cb6c5c-ddec-4d68-8ebf-7798c51c6767 · outbound

This paper cites Msr-vtt: A large video description dataset for bridging video and language.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Msr-vtt: A large video description dataset for bridging video and language

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.825402Z

Source-reported events for the cited work

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Observation 14823033-ad53-4c92-9094-18d84c93a1ae · outbound

This paper cites Collecting highly parallel data for paraphrase evaluation.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Collecting highly parallel data for paraphrase evaluation

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.830109Z

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Observation ab77670a-6332-4abf-91d1-a345d88ece21 · outbound

This paper cites Towards automatic learning of procedures from web instructional videos.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Towards automatic learning of procedures from web instructional videos

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.834759Z

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Observation d279b101-bf4c-4bd8-94ac-18a0610e604d · outbound

This paper cites Vatex: A large-scale, high-quality multilingual dataset for video-and-language research.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Vatex: A large-scale, high-quality multilingual dataset for video-and-language research

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.839341Z

Source-reported events for the cited work

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Observation c503fa1c-0df3-4971-b880-a5973c11678d · outbound

This paper cites Dense-captioning events in videos.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Dense-captioning events in videos

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.843968Z

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Observation 5bc87307-2b8a-4df9-b86e-d9a42f27b391 · outbound

This paper cites Tarsier: Recipes for Training and Evaluating Large Video Description Models.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Tarsier: Recipes for Training and Evaluating Large Video Description Models

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.848557Z

Source-reported events for the cited work

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Observation 24faaf20-db2e-40d4-8566-e87b52a3e902 · outbound

This paper cites AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.853647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39150a31-3698-4398-b3eb-dc88c042dacf · outbound

This paper cites VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.859384Z

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Observation ec2fe659-1e9f-4afc-8c91-c673d2b17594 · outbound

This paper cites Eventhallusion: Diagnosing event hallucinations in video llms.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Eventhallusion: Diagnosing event hallucinations in video llms

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.864178Z

Source-reported events for the cited work

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Observation 22f2f325-5907-4713-8906-369d2cdd9d25 · outbound

This paper cites Egoschema: A diagnostic benchmark for very long-form video language understanding.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Egoschema: A diagnostic benchmark for very long-form video language understanding

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.868641Z

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Observation 5d9bd916-b723-42d8-add9-51debe881cef · outbound

This paper cites CinePile: A Long Video Question Answering Dataset and Benchmark.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding CinePile: A Long Video Question Answering Dataset and Benchmark

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.873240Z

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Observation 8f7aaed4-1cf8-4b8d-8b51-692555e12207 · outbound

This paper cites LVBench: An Extreme Long Video Understanding Benchmark.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding LVBench: An Extreme Long Video Understanding Benchmark

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.877967Z

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Observation da3c861c-1a44-475d-9f38-e90afe065029 · outbound

This paper cites Movieqa: Understanding stories in movies through question-answering.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Movieqa: Understanding stories in movies through question-answering

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.882703Z

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Observation 2c6d55e2-6d24-42ea-b596-0d77650b80a5 · outbound

This paper cites Longvideobench: A benchmark for long-context interleaved video-language understanding.Advances in Neural Information Processing Systems, 37:28828– 28857, 2025.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Longvideobench: A benchmark for long-context interleaved video-language understanding.Advances in Neural Information Processing Systems, 37:28828– 28857, 2025

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.887130Z

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Observation b0cc2070-28b6-4b01-a9d2-7f5f2fd686ac · outbound

This paper cites Moviechat: From dense token to sparse memory for long video understanding.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Moviechat: From dense token to sparse memory for long video understanding

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.892235Z

Source-reported events for the cited work

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Observation 80e9632d-b4d5-4aaa-9e94-687a4322bdcf · outbound

This paper cites MLVU: Benchmarking Multi-task Long Video Understanding.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding MLVU: Benchmarking Multi-task Long Video Understanding

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.897692Z

Source-reported events for the cited work

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Observation e4cd5b5c-dcb8-464a-b26e-baa7c1ec1267 · outbound

This paper cites CG-Bench: Clue-grounded Question Answering Benchmark for Long Video Understanding.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding CG-Bench: Clue-grounded Question Answering Benchmark for Long Video Understanding

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.902360Z

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Observation d565190c-c7ad-4575-ad02-0d6476b5a4a0 · outbound

This paper cites Apollo: An Exploration of Video Understanding in Large Multimodal Models.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Apollo: An Exploration of Video Understanding in Large Multimodal Models

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Observation 9658c1c3-82cd-45bc-8251-b58c942b3496 · outbound

This paper cites TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.911916Z

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Observation 37b008b2-5910-4ab5-a082-1123a2b09afa · outbound

This paper cites TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.917814Z

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Pith citing papers

Observation f51e9682-09fb-47b3-8924-32619f16dc8f · inbound

Perception Encoder: The best visual embeddings are not at the output of the network cites this paper.

Perception Encoder: The best visual embeddings are not at the output of the network PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

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Resolution: verified exact; arxiv_id, observed 2026-05-13T22:21:15.817065Z

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Observation 36bbce6e-2e67-485a-90eb-aae6f5bd0c0e · inbound

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VideoMathQA: Benchmarking Mathematical Reasoning via Multimodal Understanding in Videos PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

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Resolution: unresolved; no resolver link, observed 2026-08-07T10:25:36.240386Z

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BYO-Eval: Build Your Own Dataset for Fine-Grained Visual Assessment of Multimodal Language Models PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

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Resolution: unresolved; no resolver link, observed 2026-08-07T10:35:44.870369Z

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Observation ab285409-aff3-450c-b2d9-708aa346803f · inbound

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CausalVQA: A Physically Grounded Causal Reasoning Benchmark for Video Models PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T04:44:59.009056Z

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V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

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Resolution: verified exact; arxiv_id, observed 2026-05-11T00:33:50.751197Z

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Observation 254383df-acec-4f27-a082-f36dbfe6d5b6 · inbound

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Group Relative Augmentation for Data Efficient Action Detection PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

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Resolution: unresolved; no resolver link, observed 2026-08-06T12:55:37.435979Z

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Observation 048c6c3c-bdd1-4fc5-86b3-6ebce32f8450 · inbound

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Strefer: Empowering Video LLMs with Space-Time Referring and Reasoning via Synthetic Instruction Data PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T10:58:15.783270Z

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SAM 3: Segment Anything with Concepts PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:25:11.567661Z

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Observation 28b1ff73-f9ff-4cb7-8a2a-d35a64972510 · inbound

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NarrativeTrack: Evaluating Entity-Centric Reasoning for Narrative Understanding PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Reference 9

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Observation c87468a0-646d-48e9-baee-b10aa5b2c2b6 · inbound

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NarrativeTrack: Evaluating Entity-Centric Reasoning for Narrative Understanding PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T06:36:33.788629Z

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Observation 5638f5c9-e25e-49de-bf42-b0e8b754930e · inbound

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Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

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Resolution: verified exact; arxiv_id, observed 2026-05-16T04:21:29.849841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3ab36bd7-1861-4b62-bfd4-6b1b14d6faa5 · inbound

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InstrAct: Towards Action-Centric Understanding in Instructional Videos PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:35:56.793965Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 303a81e6-0a18-414c-a1da-9dcd0f3f3662 · inbound

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Don't Show Pixels, Show Cues: Unlocking Visual Tool Reasoning in Language Models via Perception Programs PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:26:02.000635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Building a Precise Video Language with Human-AI Oversight cites this paper.

Building a Precise Video Language with Human-AI Oversight PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:46:04.390564Z

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Observation f0a3f67e-6673-468f-b957-ee4e6c81beb8 · inbound

Don't Pause! Every prediction matters in a streaming video cites this paper.

Don't Pause! Every prediction matters in a streaming video PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:41:17.822135Z

Source-reported events for the cited work

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ZAYA1-VL-8B Technical Report cites this paper.

ZAYA1-VL-8B Technical Report PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:21:23.368911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Learning to See What You Need: Gaze Attention for Multimodal Large Language Models cites this paper.

Learning to See What You Need: Gaze Attention for Multimodal Large Language Models PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Reference 155

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Flat-Pack Bench: Evaluating Spatio-Temporal Understanding in Large Vision-Language Models through Furniture Assembly cites this paper.

Flat-Pack Bench: Evaluating Spatio-Temporal Understanding in Large Vision-Language Models through Furniture Assembly PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:21:20.656335Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Learning Spatiotemporal Sensitivity in Video LLMs via Counterfactual Reinforcement Learning cites this paper.

Learning Spatiotemporal Sensitivity in Video LLMs via Counterfactual Reinforcement Learning PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-22T07:46:14.843460Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Zamba2-VL Technical Report cites this paper.

Zamba2-VL Technical Report PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:26:00.682259Z

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AdaCodec: A Predictive Visual Code for Video MLLMs cites this paper.

AdaCodec: A Predictive Visual Code for Video MLLMs PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-06-28T15:22:19.555545Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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AMALIA-VL: A Native European Portuguese Open-Source Vision and Language Model cites this paper.

AMALIA-VL: A Native European Portuguese Open-Source Vision and Language Model PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:19:12.972644Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 84eb08e2-7c7b-4151-adec-6a76caa51cbb · inbound

AMALIA-VL: A Native European Portuguese Open-Source Vision and Language Model cites this paper.

AMALIA-VL: A Native European Portuguese Open-Source Vision and Language Model PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-01T07:35:28.798366Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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AMALIA-VL: A Native European Portuguese Open-Source Vision and Language Model cites this paper.

AMALIA-VL: A Native European Portuguese Open-Source Vision and Language Model PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:17:25.000055Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 73f2b3c5-bdef-455f-ac15-b2fe8c5fe847 · inbound

DiffusionBench: On Holistic Evaluation of Diffusion Transformers cites this paper.

DiffusionBench: On Holistic Evaluation of Diffusion Transformers PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Reference 82

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T16:59:58.135042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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SSMNBench: Diagnosing Image-based Cross-View Human-Object Understanding via Single-View Sufficiency and Multi-View Necessity cites this paper.

SSMNBench: Diagnosing Image-based Cross-View Human-Object Understanding via Single-View Sufficiency and Multi-View Necessity PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T19:50:10.224238Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9bc7a457-a71c-40a0-b29b-1d5a706ad9e7 · inbound

Graph it first! Enabling Reasoning on Long-form Egocentric Videos through Scene Graphs cites this paper.

Graph it first! Enabling Reasoning on Long-form Egocentric Videos through Scene Graphs PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T19:50:11.284082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 070e822c-dcc7-4a43-8b9f-8a33109367ae · inbound

DataComp-VLM: Improved Open Datasets for Vision-Language Models cites this paper.

DataComp-VLM: Improved Open Datasets for Vision-Language Models PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:45:47.690264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 115430e1-3ed7-4c6d-be2e-554e0056aa28 · inbound

DataComp-VLM: Improved Open Datasets for Vision-Language Models cites this paper.

DataComp-VLM: Improved Open Datasets for Vision-Language Models PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-07-02T21:17:24.161656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 22c24511-54df-4f63-ba2a-427fe098fd85 · inbound

VisReflect: Latent Visual Reflection for Fine-Grained Perception in Long Visual Context cites this paper.

VisReflect: Latent Visual Reflection for Fine-Grained Perception in Long Visual Context PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T06:04:21.260794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0d9a6198-a0f5-4191-9a08-107af9fc74e1 · inbound

MoHallBench: A Benchmark for Motion Hallucination in Video Large Language Models cites this paper.

MoHallBench: A Benchmark for Motion Hallucination in Video Large Language Models PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T13:46:58.655990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e667046c-a725-4642-b587-c2328b08047c · inbound

VideoChat3: Fully Open Video MLLM for Efficient and Generalist Video Understanding cites this paper.

VideoChat3: Fully Open Video MLLM for Efficient and Generalist Video Understanding PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T00:44:40.660990Z

Source-reported events for the cited work

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