Paper Citation Record · LEDGER

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing

As of 19 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2411.19460.

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

pith.paper-citation-record.v1
2411.19460 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:18:49.027719Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:51:26.993426Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:51:30.627840Z

Reference resolution

50 of 50 outbound references displayed

verified exact0
verified fuzzy16
unresolved33
parse uncertain1
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9db3598f-9853-47f7-92c4-d2fc54454efe · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:48.804862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72076b41-50c3-43a2-94c9-56dab3c8f539 · outbound

This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Frozen in time: A joint video and image encoder for end-to-end retrieval

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:48.810075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fe1f85c-45f4-4158-8036-90da990e5da3 · outbound

This paper cites Lan- guage models are few-shot learners.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Lan- guage models are few-shot learners

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:48.814804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 130a81ae-75d5-47e6-afa2-7b1689c72968 · outbound

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

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing ShareGPT4Video: Improving Video Understanding and Generation with Better Captions

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:48.819643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b75fc56b-087f-48ca-b8c9-02b5f4d8cfaa · outbound

This paper cites Extending Context Window of Large Language Models via Positional Interpolation.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Extending Context Window of Large Language Models via Positional Interpolation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:48.825125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 032fbfcd-72d3-44fc-b461-348aa8ea2cd9 · outbound

This paper cites Training Deep Nets with Sublinear Memory Cost.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Training Deep Nets with Sublinear Memory Cost

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:48.830334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f3e0c6f-df85-4f9e-afcf-ca4858684ca2 · outbound

This paper cites VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:48.835878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f87afc0f-a902-4040-b83e-2ccdf8d83d17 · outbound

This paper cites Gonzalez, Ion Stoica, and Eric P.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Gonzalez, Ion Stoica, and Eric P

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:48.841017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d8c4342-707f-48ec-afd4-dd58f7a92bda · outbound

This paper cites InstructBLIP: Towards general-purpose vision- language models with instruction tuning.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing InstructBLIP: Towards general-purpose vision- language models with instruction tuning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:18:49.709411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d39ef85d-e66a-4939-93b6-be7430344979 · outbound

This paper cites Carbonell, Quoc V.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Carbonell, Quoc V

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:18:49.696856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ef8deede-0ef0-4dda-a51f-c4880bb54a2a · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:48.856760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c7e8b83-a8d7-49c5-af49-4116617ec714 · outbound

This paper cites an unresolved cited work.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-12T10:18:49.683720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0254b474-b400-4efc-b41a-b0ad6926d13f · outbound

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

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:48.866004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59ba5ba2-f4bf-4df5-8c52-ed6ab6216899 · outbound

This paper cites Gemini, 2023.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Gemini, 2023

Reference 14

Resolution: parse uncertain; raw_fallback, observed 2026-08-12T10:18:49.668616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c7812791-c6a1-431b-9757-69c4bd574e66 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:48.874459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 702511e1-4a83-4f5a-a365-e04a74162392 · outbound

This paper cites Ma-lmm: Memory-augmented large multimodal model for long-term video understanding.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Ma-lmm: Memory-augmented large multimodal model for long-term video understanding

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:18:49.653153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 26554f67-49de-4f01-982e-89072e98f455 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing LoRA: Low-Rank Adaptation of Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:48.883094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f403274c-bd80-484f-b457-a47c2170bd8c · outbound

This paper cites Chat-univi: Unified visual representation em- powers large language models with image and video un- derstanding.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Chat-univi: Unified visual representation em- powers large language models with image and video un- derstanding

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:18:49.638726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e2fbcb1b-fc7c-481e-ad04-a3026aca8db2 · outbound

This paper cites SALOVA: Segment-Augmented Long Video Assistant for Targeted Retrieval and Routing in Long-Form Video Analysis.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing SALOVA: Segment-Augmented Long Video Assistant for Targeted Retrieval and Routing in Long-Form Video Analysis

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:48.890691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f4ece90-3024-4099-abc0-e2a9c28d6972 · outbound

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

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing LLaVA-OneVision: Easy Visual Task Transfer

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:48.894912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c10b7af-dae0-447f-8b34-e5e2ff668878 · outbound

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

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Mvbench: A comprehensive multi-modal video understand- ing benchmark

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:18:49.623640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b12c7654-61c5-473a-b9b6-a37441062a41 · outbound

This paper cites Llama-vid: An image is worth 2 tokens in large language models.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Llama-vid: An image is worth 2 tokens in large language models

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:18:49.608876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 72dbc329-34c5-40b9-9250-cf6f1d7c0ab2 · outbound

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

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:48.907774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60fa7ac8-2a5b-4a0c-be7c-00968b382655 · outbound

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

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Vila: On pre-training for vi- sual language models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:48.912065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24f6934b-25ae-4e31-8863-b41f7f2144b4 · outbound

This paper cites Improved Baselines with Visual Instruction Tuning.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Improved Baselines with Visual Instruction Tuning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:48.916464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cc0fa21-6e0e-4470-add8-3ec019072f18 · outbound

This paper cites Visual instruction tuning.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Visual instruction tuning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:18:49.585250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 375c1fb3-0bd4-4be5-a08e-3478fb860253 · outbound

This paper cites Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:18:49.571689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d22fb7ad-5e82-4d75-9f09-38732f86db06 · outbound

This paper cites St-llm: Large language models are effective tem- poral learners.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing St-llm: Large language models are effective tem- poral learners

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:18:49.556981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation df05a570-1c62-4d11-b7ad-2696d90c3d61 · outbound

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

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:48.935134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84a7696c-fb1a-49f3-8dae-f8e67e313c6c · outbound

This paper cites an unresolved cited work.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-12T10:18:49.540791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 318d6140-e45d-4adf-8505-73b2dc1ca5e3 · outbound

This paper cites Gpt-4 technical report, 2023.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Gpt-4 technical report, 2023

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:18:49.527375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a05b3b41-1cc9-46d1-8e1e-ac0d238245fa · outbound

This paper cites GPT-4V(ision) System Card, 2023.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing GPT-4V(ision) System Card, 2023

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:18:49.514325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0b310332-44b2-44df-9697-3ab7728a8237 · outbound

This paper cites Hello gpt-4o, 2024.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Hello gpt-4o, 2024

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:18:49.500726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d7e09123-524b-4721-ab18-e10a330f4c1f · outbound

This paper cites Per- ception test: A diagnostic benchmark for multimodal video models.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Per- ception test: A diagnostic benchmark for multimodal video models

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:18:49.486239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 09d38a4e-fc63-47d0-abeb-2b0ef6059c06 · outbound

This paper cites Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:48.961665Z

Source-reported events for the cited work

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Observation c7364031-9522-42c9-bd11-01cc2acc7562 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Learning transferable visual models from natural language supervi- sion

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:48.966731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5fe7973-96b5-444b-9284-9a4716d729d0 · outbound

This paper cites Zero: Memory optimizations toward training trillion parameter models.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Zero: Memory optimizations toward training trillion parameter models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:48.970446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 789174ea-bc8d-40b0-ae0a-b48751e13b74 · outbound

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

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:48.974203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3890664-597c-4466-b583-b757d81a20a9 · outbound

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

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Moviechat: From dense token to sparse memory for long video understanding

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:18:49.453690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ba598f2d-d3f2-4e3f-aefa-3cf25108b366 · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:48.981971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38878d5f-5a09-4f6b-8070-c769f23e7f2a · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing LLaMA: Open and Efficient Foundation Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:48.986058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation def39225-2242-4f4b-bb55-28bd1a1a49ca · outbound

This paper cites Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:48.990518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19b2aced-f036-4763-b2fc-8a0db721a5dd · outbound

This paper cites LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:48.994759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a3a4d02-a354-4c08-bae7-3a324569d062 · outbound

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

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Next-qa: Next phase of question-answering to explaining temporal actions

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:18:49.428747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d15fe8d8-4572-4417-b33e-e6dc7cc13461 · outbound

This paper cites PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:49.003350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 249bb2d6-462a-4700-affa-8237952600de · outbound

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

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Activitynet-qa: A dataset for understanding complex web videos via question answering

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:18:49.413523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ea51b055-9ed7-4a4e-8877-40140064e02c · outbound

This paper cites Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:49.013908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 014dcff1-068b-4b01-aed4-565e544efa92 · outbound

This paper cites Long Context Transfer from Language to Vision.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Long Context Transfer from Language to Vision

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:49.018500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2145f0f-e25a-4d12-88ab-d7495dd6e669 · outbound

This paper cites LLaVA-Video: Video Instruction Tuning With Synthetic Data.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing LLaVA-Video: Video Instruction Tuning With Synthetic Data

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:49.023170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e61ed9f-6618-42e0-922a-6d32942ed904 · outbound

This paper cites Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models.

Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:49.027719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 183b11b8-f18f-4977-97fe-0a930ed3a14f · inbound

ReFoCUS: Reinforcement-guided Frame Optimization for Contextual Understanding cites this paper.

ReFoCUS: Reinforcement-guided Frame Optimization for Contextual Understanding Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:51:30.674736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.