Paper Citation Record · LEDGER

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models

As of 14 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 7 inbound Pith citation observations for arXiv:2411.11066.

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

pith.paper-citation-record.v1
2411.11066 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:03:32.584154Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:37:38.250264Z

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

56 of 56 outbound references displayed

verified exact0
verified fuzzy26
unresolved30
parse uncertain0
malformed identifier0
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External citation measurements

25
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 49d949da-4101-48f5-88b1-b60044caf604 · outbound

This paper cites Qwen Technical Report.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Qwen Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T19:03:31.904212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cf08a90-6df7-4ff9-8eb8-214db30a03f9 · outbound

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

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T19:03:31.930824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25aafd0b-38a8-4169-9d1f-998625a32d2d · outbound

This paper cites Matryoshka Multimodal Models.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Matryoshka Multimodal Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T19:03:31.940342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 063c4c28-daa6-45c7-b103-b0989029fd18 · outbound

This paper cites Collecting highly parallel data for paraphrase evaluation.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Collecting highly parallel data for paraphrase evaluation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:03:33.620276Z

Source-reported events for the cited work

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Observation b467affe-0ee3-4eef-963e-26673668d44d · outbound

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

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T19:03:31.946661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3fc6f6b-dba2-4b7c-a953-ed9cda08e7cd · outbound

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

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Gonzalez, Ion Stoica, and Eric P

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:03:33.550546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 86dfe8fb-1ca0-44fa-87f5-658e4ade1cf3 · outbound

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

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models InstructBLIP: Towards general-purpose vision-language models with instruction tuning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T19:03:31.954093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d835c0fa-309c-44fd-b5cd-7cf8ca2383b5 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models An image is worth 16x16 words: Transformers for image recognition at scale

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T19:03:31.957310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6da4ce0-5e6d-4df6-b0ae-959caac389f5 · outbound

This paper cites Slowfast networks for video recognition.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Slowfast networks for video recognition

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:03:33.531487Z

Source-reported events for the cited work

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Observation 8c4402a2-4819-4d01-9714-55fafd592f34 · outbound

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

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T19:03:31.964048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 026bce24-78e3-4d60-abe2-19d7abe416a6 · outbound

This paper cites LITA: Language Instructed Temporal-Localization Assistant.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models LITA: Language Instructed Temporal-Localization Assistant

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T19:03:31.982517Z

Source-reported events for the cited work

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Observation bf677fb0-5780-4252-8d81-fc61ba1acf29 · outbound

This paper cites Mixtral of Experts.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Mixtral of Experts

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T19:03:32.019710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 629b42d8-c99d-4fbf-9987-35bcecbf71c9 · outbound

This paper cites An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T19:03:32.050286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fe6cce8-ec58-4c31-b4d5-83e2d9e174d4 · outbound

This paper cites BLIP-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models BLIP-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:03:33.523341Z

Source-reported events for the cited work

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Observation 99278d1d-5ca3-4f63-9b70-514c2e126e18 · outbound

This paper cites Inten- tqa: Context-aware video intent reasoning.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Inten- tqa: Context-aware video intent reasoning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:03:33.515890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8a26ddf1-7c2f-4a28-b60b-0d06a77b490e · outbound

This paper cites VideoChat: Chat-Centric Video Understanding.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models VideoChat: Chat-Centric Video Understanding

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T19:03:32.113190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0eba0374-34d4-4b17-ab94-035a947aa78a · outbound

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

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Mvbench: A comprehensive multi- modal video understanding benchmark

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:03:33.508446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3e925e5b-2366-479e-93be-f68f161e4f0a · outbound

This paper cites Tgif: A new dataset and benchmark on animated gif description.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Tgif: A new dataset and benchmark on animated gif description

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:03:33.487482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 48d78477-2644-40f0-8843-779fb6822449 · outbound

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

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Llama-vid: An image is worth 2 tokens in large language models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:03:33.455390Z

Source-reported events for the cited work

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Observation 966c248f-6e73-4062-bcb7-fd9abb640bb9 · outbound

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

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T19:03:32.165398Z

Source-reported events for the cited work

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Observation 065f7bc0-e07a-4975-ab56-355775f5a668 · outbound

This paper cites Visual instruction tuning.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Visual instruction tuning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:03:33.376748Z

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Observation ea3865ee-5d69-4452-8071-078583c44807 · outbound

This paper cites Improved baselines with visual instruction tuning.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Improved baselines with visual instruction tuning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:03:33.298728Z

Source-reported events for the cited work

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Observation 6a8855a7-698c-492d-b184-4795c63dc146 · outbound

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

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6fdb8bc3-08c8-4df8-8837-be660e658518 · outbound

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

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models St-llm: Large language models are effective tem- poral learners

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:03:33.171618Z

Source-reported events for the cited work

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Observation 8b501599-1bf7-4069-90dc-9a65dee36862 · outbound

This paper cites Vista-llama: Reducing hallucination in video language models via equal distance to visual tokens.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Vista-llama: Reducing hallucination in video language models via equal distance to visual tokens

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:03:33.163744Z

Source-reported events for the cited work

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Observation 80b922fb-32be-4c83-9ae1-26c6f76d7b00 · outbound

This paper cites Video-ChatGPT: Towards detailed video un- derstanding via large vision and language models.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Video-ChatGPT: Towards detailed video un- derstanding via large vision and language models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:03:33.155251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dfa5c33a-bcac-4d8b-ac98-b59275345f64 · outbound

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

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Egoschema: A diagnostic benchmark for very long- form video language understanding

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:03:33.146272Z

Source-reported events for the cited work

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Observation 4d65746e-6007-420e-885f-691aa1ddb11d · outbound

This paper cites DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs

Reference 28

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Observation 64b4855d-4bd5-437b-a49b-481ba80a0497 · outbound

This paper cites Nous-hermes-2-yi-34b model card, 2023.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Nous-hermes-2-yi-34b model card, 2023

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:03:33.136959Z

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Observation f44c9f46-5076-4aaa-b059-05d27b8992af · outbound

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

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Gpt-4v(ision) system card, 2023

Reference 30

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Source-reported events for the cited work

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Observation 52ae98c6-b9ae-429d-85f0-971bf09715f3 · outbound

This paper cites GPT-4 Technical Report.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models GPT-4 Technical Report

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T19:03:32.195669Z

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Observation 062d0e32-bcfd-44f0-b41a-f06eeae5b588 · outbound

This paper cites Introducing routing functions to vision-language parameter- efficient fine-tuning with low-rank bottlenecks.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Introducing routing functions to vision-language parameter- efficient fine-tuning with low-rank bottlenecks

Reference 32

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Source-reported events for the cited work

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Observation 86c645ed-e928-4f3b-b381-1124b575ed83 · outbound

This paper cites Learning transferable visual models from natural language supervision.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Learning transferable visual models from natural language supervision

Reference 33

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Observation 8dadc60d-6921-45fb-945e-4233ee06fd1a · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Direct preference optimization: Your language model is secretly a reward model

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T19:03:32.204134Z

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Observation 07b575ed-eb43-4530-9b83-7eb9ad6cbc9f · outbound

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

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Moviechat: From dense token to sparse memory for long video understanding

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:03:32.997350Z

Source-reported events for the cited work

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Observation c59ad5fa-7152-4191-9dd5-9fa4c2acdc0d · outbound

This paper cites MovieChat+: Question-aware Sparse Memory for Long Video Question Answering.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models MovieChat+: Question-aware Sparse Memory for Long Video Question Answering

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T19:03:32.209929Z

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Observation 357115af-0b2a-40e2-b44d-f4237438b1d1 · outbound

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

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T19:03:32.245623Z

Source-reported events for the cited work

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Observation 30c069cb-d8a1-4ee6-b41d-681485490811 · outbound

This paper cites Videoagent: Long-form video understanding with large language model as agent.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Videoagent: Long-form video understanding with large language model as agent

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:03:32.966106Z

Source-reported events for the cited work

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Observation bd605700-9e6c-4c29-8b8d-1dabd561fca6 · outbound

This paper cites Videotree: Adaptive tree-based video representation for llm reasoning on long videos.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Videotree: Adaptive tree-based video representation for llm reasoning on long videos

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:03:32.940983Z

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Observation df1c2007-d344-4dd7-9213-d609fb4ed462 · outbound

This paper cites FreeVA: Offline MLLM as Training-Free Video Assistant.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models FreeVA: Offline MLLM as Training-Free Video Assistant

Reference 40

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Observation d8aa5db7-4889-491b-9f80-ac9b2b609948 · outbound

This paper cites Audiovisual SlowFast Networks for Video Recognition.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Audiovisual SlowFast Networks for Video Recognition

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T19:03:32.416966Z

Source-reported events for the cited work

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Observation 9e9814f2-3e7a-495e-96e7-e2c7504d0be3 · outbound

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

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Next-qa: Next phase of question-answering to explaining temporal actions

Reference 42

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Source-reported events for the cited work

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Observation 454efdcd-bade-450b-947b-92cdef74de9b · outbound

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

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Msr-vtt: A large video description dataset for bridging video and language

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:03:32.897591Z

Source-reported events for the cited work

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Observation 960ececd-5f18-4a8c-8b78-dfb1f4466133 · outbound

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

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T19:03:32.426845Z

Source-reported events for the cited work

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Observation 90f4958e-b8eb-4ca9-80d1-ca51d38a00e1 · outbound

This paper cites SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models

Reference 45

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Source-reported events for the cited work

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Observation 6bf81f57-f298-49cd-a8ba-365e17bce8b4 · outbound

This paper cites mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 46

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Source-reported events for the cited work

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Observation f7504c50-82e8-4672-a0e5-d1691be65961 · outbound

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

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Activitynet-qa: A dataset for understanding complex web videos via question answering

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:03:32.888047Z

Source-reported events for the cited work

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Observation 0c2cd52a-0aeb-411f-8a50-df560546a403 · outbound

This paper cites A Simple LLM Framework for Long-Range Video Question-Answering.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models A Simple LLM Framework for Long-Range Video Question-Answering

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T19:03:32.439057Z

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TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Video-LLaMA: An instruction-tuned audio-visual language model for video un- derstanding

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This paper cites Long Context Transfer from Language to Vision.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Long Context Transfer from Language to Vision

Reference 50

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TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models LLaMA-adapter: Efficient fine-tuning of large language models with zero- initialized attention

Reference 51

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This paper cites Llava- next: A strong zero-shot video understanding model, 2024.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Llava- next: A strong zero-shot video understanding model, 2024

Reference 52

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

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models MLVU: Benchmarking Multi-task Long Video Understanding

Reference 53

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This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 54

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This paper cites Each frame is resized accordingly to fit within the resulting 336 ×336 thumbnail image.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models Each frame is resized accordingly to fit within the resulting 336 ×336 thumbnail image

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:03:32.850844Z

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This paper cites We start with additional experiments conducted for the study on compression strategies.

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models We start with additional experiments conducted for the study on compression strategies

Reference 56

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Pith citing papers

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IPFormer-VideoLLM: Enhancing Multi-modal Video Understanding for Multi-shot Scenes cites this paper.

IPFormer-VideoLLM: Enhancing Multi-modal Video Understanding for Multi-shot Scenes TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models

Reference 43

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Direct RNA sequence design under codon constraints using expressive tensor-based secondary structure models cites this paper.

Direct RNA sequence design under codon constraints using expressive tensor-based secondary structure models TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models

Reference 10

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WindowQuant: Mixed-Precision KV Cache Quantization based on Window-Level Similarity for VLMs Inference Optimization cites this paper.

WindowQuant: Mixed-Precision KV Cache Quantization based on Window-Level Similarity for VLMs Inference Optimization TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models

Reference 35

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Enhancing Visual Token Representations for Video Large Language Models via Training-Free Spatial-Temporal Pooling and Gridding cites this paper.

Enhancing Visual Token Representations for Video Large Language Models via Training-Free Spatial-Temporal Pooling and Gridding TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models

Reference 8

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Zero-Shot 3D Question Answering via Hierarchical View-to-Token Transportation cites this paper.

Zero-Shot 3D Question Answering via Hierarchical View-to-Token Transportation TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models

Reference 79

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MemoryCard: Topic-Aware Multi-Modal Clue Compression for Long-Video Question Answering cites this paper.

MemoryCard: Topic-Aware Multi-Modal Clue Compression for Long-Video Question Answering TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models

Reference 33

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TreeSoc: Tree-Structured Dynamic Reasoning and Tool Synergy for Soccer Video Understanding cites this paper.

TreeSoc: Tree-Structured Dynamic Reasoning and Tool Synergy for Soccer Video Understanding TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models

Reference 20

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