Paper Citation Record · LEDGER

Tarsier: Recipes for Training and Evaluating Large Video Description Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 44 inbound Pith citation observations for arXiv:2407.00634.

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

pith.paper-citation-record.v1
2407.00634 v2

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measured 44 of 44 standing notices

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measured 44 of 44 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:40:23.734088Z

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Pith citing papers

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

VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 48

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Observation 0be139c6-460b-4b87-ae5c-c34e807f64df · inbound

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

LLaVA-Video: Video Instruction Tuning With Synthetic Data Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 48

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Observation f6822db5-7cbd-4ebd-8023-6aa5e8df054d · inbound

DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models cites this paper.

DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 43

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Open-Sora Plan: Open-Source Large Video Generation Model cites this paper.

Open-Sora Plan: Open-Source Large Video Generation Model Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 19

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PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation cites this paper.

PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 39

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Observation 3ee4e1f2-cd67-4798-a8a9-e436db706eac · inbound

Progress-Aware Video Frame Captioning cites this paper.

Progress-Aware Video Frame Captioning Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 61

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Observation 1f9c87a1-a224-42c3-87d2-2b5769e407f0 · inbound

LinVT: Empower Your Image-level Large Language Model to Understand Videos cites this paper.

LinVT: Empower Your Image-level Large Language Model to Understand Videos Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 64

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Observation c0db57b7-51b8-4e78-8b50-f50461a269ac · inbound

PVC: Progressive Visual Token Compression for Unified Image and Video Processing in Large Vision-Language Models cites this paper.

PVC: Progressive Visual Token Compression for Unified Image and Video Processing in Large Vision-Language Models Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 121

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Observation 0b4c1064-cd9d-4bfc-afc1-2fc19c77a335 · inbound

CaReBench: A Fine-Grained Benchmark for Video Captioning and Retrieval cites this paper.

CaReBench: A Fine-Grained Benchmark for Video Captioning and Retrieval Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 28

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BounTCHA: A CAPTCHA Utilizing Boundary Identification in Guided Generative AI-extended Videos cites this paper.

BounTCHA: A CAPTCHA Utilizing Boundary Identification in Guided Generative AI-extended Videos Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 89

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Observation 63f8375a-2a2e-47a9-a9bf-2f2200751a76 · inbound

Goku: Flow Based Video Generative Foundation Models cites this paper.

Goku: Flow Based Video Generative Foundation Models Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 80

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VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning cites this paper.

VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 25

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Observation d31b4ecc-a26f-4da3-b04f-050dde267969 · inbound

Seed1.5-VL Technical Report cites this paper.

Seed1.5-VL Technical Report Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 140

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Observation 4165373e-c41e-4f73-bb44-aa18251c6109 · inbound

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval cites this paper.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 80

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Observation e152143e-f3e1-440b-be7d-f896473bbd0b · inbound

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos cites this paper.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 51

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Observation 8f47666e-7b6c-4623-bfbb-7765955299fa · inbound

MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding cites this paper.

MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 5

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Observation c314e2d9-ad47-490c-a7b0-549e292d25e3 · inbound

VideoCap-R1: Enhancing MLLMs for Video Captioning via Structured Thinking cites this paper.

VideoCap-R1: Enhancing MLLMs for Video Captioning via Structured Thinking Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 33

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Observation 543f8e17-0ffc-4fd6-aac0-f39935557265 · inbound

LeanPO: Lean Preference Optimization for Likelihood Alignment in Video-LLMs cites this paper.

LeanPO: Lean Preference Optimization for Likelihood Alignment in Video-LLMs Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 51

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EOC-Bench: Can MLLMs Identify, Recall, and Forecast Objects in an Egocentric World? cites this paper.

EOC-Bench: Can MLLMs Identify, Recall, and Forecast Objects in an Egocentric World? Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 43

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How Important are Videos for Training Video LLMs? cites this paper.

How Important are Videos for Training Video LLMs? Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 23

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LeAdQA: LLM-Driven Context-Aware Temporal Grounding for Video Question Answering cites this paper.

LeAdQA: LLM-Driven Context-Aware Temporal Grounding for Video Question Answering Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 30

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Observation b62dbf61-4e24-4aa2-be39-3f4e90809c3f · inbound

Adapting MLLMs for Nuanced Video Retrieval cites this paper.

Adapting MLLMs for Nuanced Video Retrieval Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 69

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CamReasoner: Reinforcing Camera Movement Understanding via Structured Spatial Reasoning cites this paper.

CamReasoner: Reinforcing Camera Movement Understanding via Structured Spatial Reasoning Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 44

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SCP: Spatial Causal Prediction in Video cites this paper.

SCP: Spatial Causal Prediction in Video Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 44

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Progressive Video Condensation with MLLM Agent for Long-form Video Understanding cites this paper.

Progressive Video Condensation with MLLM Agent for Long-form Video Understanding Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 9

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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 Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 61

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Observation 97a2f1b6-2f1e-4d05-bab6-e6c6324a2baa · inbound

Bridging Brain and Semantics: A Hierarchical Framework for Semantically Enhanced fMRI-to-Video Reconstruction cites this paper.

Bridging Brain and Semantics: A Hierarchical Framework for Semantically Enhanced fMRI-to-Video Reconstruction Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 100

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CaMo: Camera Motion Grounded Evaluation and Training for Vision-Language Models cites this paper.

CaMo: Camera Motion Grounded Evaluation and Training for Vision-Language Models Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 46

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Observation c55f7ec3-6104-41fc-870c-a9ab35371b3e · inbound

VCap: Hypergeometric Rewards for Weak-to-Strong Visual Captioning cites this paper.

VCap: Hypergeometric Rewards for Weak-to-Strong Visual Captioning Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 46

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Observation 779d8d9e-b6f3-4051-86a8-a7c4d19b3f41 · inbound

UNIVID: Unified Vision-Language Model for Video Moderation cites this paper.

UNIVID: Unified Vision-Language Model for Video Moderation Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 24

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Observation d58a1299-f53b-4cbb-8f78-1f7c9e333eba · inbound

MotionEnhancer: Leveraging Video Diffusion for Motion-Enhanced Vision-Language Models cites this paper.

MotionEnhancer: Leveraging Video Diffusion for Motion-Enhanced Vision-Language Models Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 23

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Watch, Remember, Reason: Human-View Video Understanding with MLLMs cites this paper.

Watch, Remember, Reason: Human-View Video Understanding with MLLMs Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 92

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AVI-Bench: Toward Human-like Audio-Visual Intelligence of Omni-MLLMs cites this paper.

AVI-Bench: Toward Human-like Audio-Visual Intelligence of Omni-MLLMs Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 80

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Counterfactual Reasoning for Fine-Grained Evidence Disentanglement in VideoQA cites this paper.

Counterfactual Reasoning for Fine-Grained Evidence Disentanglement in VideoQA Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 2

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CapRL++: Unified Reinforcement Learning with Verifiable Rewards for Dense Image and Video Captioning cites this paper.

CapRL++: Unified Reinforcement Learning with Verifiable Rewards for Dense Image and Video Captioning Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 76

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InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning cites this paper.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 297

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CineCap: Structured Reasoning with Spatio-Temporal Anchors for Cinematographic Video Captioning cites this paper.

CineCap: Structured Reasoning with Spatio-Temporal Anchors for Cinematographic Video Captioning Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 48

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Observation 87c325a0-12db-4fe8-b67c-73b20cc29f7e · inbound

From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models cites this paper.

From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 1

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MotionAtlas: Detailed Region Captioning for Motion-Centric Videos cites this paper.

MotionAtlas: Detailed Region Captioning for Motion-Centric Videos Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:24:21.158963Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Temporal and Cross-Modal Alignment for Enhanced Audiovisual Video Captioning cites this paper.

Temporal and Cross-Modal Alignment for Enhanced Audiovisual Video Captioning Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 56

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T16:38:39.648627Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1a17a28f-d18a-4b89-92f5-7f5b45e0daa2 · inbound

MentalThink: Shaping Thoughts in Mental SVG World cites this paper.

MentalThink: Shaping Thoughts in Mental SVG World Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 167

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PercepCap: Video Captioner with Structured Spatio-Temporal Perception cites this paper.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 26

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RefCaptioner: Multi-Reference Image-Grounded Video Captioning cites this paper.

RefCaptioner: Multi-Reference Image-Grounded Video Captioning Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 26

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AVCap: Reinforcing Audio-Video Joint Caption with Detail-Aware Reward cites this paper.

AVCap: Reinforcing Audio-Video Joint Caption with Detail-Aware Reward Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 8

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Unavailable: canonical work link unavailable.