Paper Citation Record · LEDGER

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding

As of 22 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2504.19514.

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

pith.paper-citation-record.v1
2504.19514 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:54:11.122415Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

verified exact1
verified fuzzy26
unresolved19
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 846b9a80-db67-46eb-8c1a-4f0e4cb09521 · outbound

This paper cites GPT-4 Technical Report.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

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Observation 5e5a8678-af1f-4c11-9b87-ede83a7bfaf4 · outbound

This paper cites Meteor: An auto- matic metric for mt evaluation with improved correla- tion with human judgments.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Meteor: An auto- matic metric for mt evaluation with improved correla- tion with human judgments

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:10.919808Z

Source-reported events for the cited work

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Observation f380545a-ce9a-4d0a-9a77-6ef6fc6df0d3 · outbound

This paper cites MotionLLM: Understanding Human Behaviors from Human Motions and Videos.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding MotionLLM: Understanding Human Behaviors from Human Motions and Videos

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:10.925263Z

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Observation 40791d81-a445-4ca1-9ff0-1c080246557c · outbound

This paper cites Machine and deep learning for sport- specific movement recognition: A systematic review of model development and performance.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Machine and deep learning for sport- specific movement recognition: A systematic review of model development and performance

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:11.874235Z

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Observation 55b85e3a-5bab-421a-96d8-b98f75a2454a · outbound

This paper cites Soccernet-v2: A dataset and benchmarks for holistic understanding of broad- cast soccer videos.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Soccernet-v2: A dataset and benchmarks for holistic understanding of broad- cast soccer videos

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:11.859037Z

Source-reported events for the cited work

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Observation 00e0ad13-1742-4cc9-ade6-07cf80f65a60 · outbound

This paper cites Learn- ing semantics-guided representations for scoring fig- ure skating.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Learn- ing semantics-guided representations for scoring fig- ure skating

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:11.844147Z

Source-reported events for the cited work

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Observation 4aa070b5-2d0d-4bf5-8ddb-a21626873cc4 · outbound

This paper cites Videoagent: A memory- augmented multimodal agent for video understanding.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Videoagent: A memory- augmented multimodal agent for video understanding

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:11.829099Z

Source-reported events for the cited work

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Observation a412e80c-eb99-48a6-a568-1f233f35dde9 · outbound

This paper cites Soccernet: A scalable dataset for action spotting in soccer videos.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Soccernet: A scalable dataset for action spotting in soccer videos

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:11.814094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4af2d6aa-fce4-4c73-8931-988f8dcd2ff1 · outbound

This paper cites Hu- mans in 4d: Reconstructing and tracking humans with transformers.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Hu- mans in 4d: Reconstructing and tracking humans with transformers

Reference 9

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Source-reported events for the cited work

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Observation 1b703f0a-f670-47b2-bf05-9515de4024fd · outbound

This paper cites Generating diverse and natural 3d human motions from text.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Generating diverse and natural 3d human motions from text

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:11.790125Z

Source-reported events for the cited work

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Observation f6517674-97ce-45ee-8970-b0c7d02c7b0a · outbound

This paper cites A perennial dilemma: Artistic sports in the olympic games.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding A perennial dilemma: Artistic sports in the olympic games

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:11.775407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 54e2758a-eba0-4e40-b5fd-a0e98bd63d26 · outbound

This paper cites Efficient Multimodal Learning from Data-centric Perspective.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Efficient Multimodal Learning from Data-centric Perspective

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:10.967009Z

Source-reported events for the cited work

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Observation 683ee736-ca2f-4577-bda0-2e92b6fa56c2 · outbound

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

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding LoRA: Low-Rank Adaptation of Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:10.971600Z

Source-reported events for the cited work

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Observation eb3dc277-c326-435a-9130-31a7b0d91538 · outbound

This paper cites GPT-4o System Card.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding GPT-4o System Card

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:10.976594Z

Source-reported events for the cited work

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Observation 25b88b5c-2fd9-45b4-b801-99ff405f50ac · outbound

This paper cites Motiongpt: Human motion as a foreign language.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Motiongpt: Human motion as a foreign language

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:11.760717Z

Source-reported events for the cited work

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Observation 59ecd780-0e24-4c6b-ba44-f903406ebba7 · outbound

This paper cites Chat-univi: Unified visual representation empowers large language models with image and video understanding.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Chat-univi: Unified visual representation empowers large language models with image and video understanding

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:11.745628Z

Source-reported events for the cited work

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Observation 034cb6c7-3d70-465f-9ce9-939ab0a673ac · outbound

This paper cites Seed- bench: Benchmarking multimodal large language models.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Seed- bench: Benchmarking multimodal large language models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:11.731215Z

Source-reported events for the cited work

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Observation 02bcc04c-4dd1-4344-8d39-4223dcfc7b80 · outbound

This paper cites Sports-qa: A large-scale video question answering benchmark for complex and professional sports.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Sports-qa: A large-scale video question answering benchmark for complex and professional sports

Reference 18

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Source-reported events for the cited work

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Observation 37a5eeb4-07a2-40ec-9804-6f752de5ab0a · outbound

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

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Mvbench: A comprehensive multi-modal video understanding benchmark

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:11.716338Z

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Observation bbf9727d-2b2e-49cd-933b-e4c41dfdfe0a · outbound

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

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Llama-vid: An image is worth 2 tokens in large language models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:11.700557Z

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Observation 7634c145-5ece-4f0e-8750-8e963a5571c7 · outbound

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

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 21

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Source-reported events for the cited work

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Observation a24d407e-d2df-4e81-b5f0-f372ccea5472 · outbound

This paper cites Liveqa: A question answering dataset over sports live.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Liveqa: A question answering dataset over sports live

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:11.686228Z

Source-reported events for the cited work

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Observation bb3e3881-7d4e-4215-a879-a773ea02a5f7 · outbound

This paper cites Fsd-10: A fine-grained classification dataset for figure skating.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Fsd-10: A fine-grained classification dataset for figure skating

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:11.671821Z

Source-reported events for the cited work

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Observation 008a62a3-16e8-49cc-8864-4b4238ea18bf · outbound

This paper cites Tempo- ral segmentation of fine-gained semantic action: A motion-centered figure skating dataset.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Tempo- ral segmentation of fine-gained semantic action: A motion-centered figure skating dataset

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:11.656566Z

Source-reported events for the cited work

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Observation cfeefeae-c0ef-4985-bce9-070c5bfb0c47 · outbound

This paper cites Fine-grained Action Analysis: A Multi-modality and Multi-task Dataset of Figure Skating.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Fine-grained Action Analysis: A Multi-modality and Multi-task Dataset of Figure Skating

Reference 25

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Source-reported events for the cited work

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Observation e5a52a6c-9c56-450a-ac07-97f1c79a3549 · outbound

This paper cites Gleu: Automatic evaluation of sentence-level fluency.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Gleu: Automatic evaluation of sentence-level fluency

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:11.641706Z

Source-reported events for the cited work

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Observation 3e657e59-2920-42c4-b481-ef55023e1103 · outbound

This paper cites Bleu: a method for automatic evalua- tion of machine translation.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Bleu: a method for automatic evalua- tion of machine translation

Reference 27

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Source-reported events for the cited work

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Observation 9e530b4e-7859-4818-bbdd-e14233dfc3b7 · outbound

This paper cites Assessing the quality of actions.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Assessing the quality of actions

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:11.617043Z

Source-reported events for the cited work

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Observation ee108fb7-93a4-4b7f-9401-a233c16285c1 · outbound

This paper cites The kit motion-language dataset.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding The kit motion-language dataset

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:11.602273Z

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Observation 44355568-6b2e-4c40-86bd-8dabf3ec1315 · outbound

This paper cites Ro- bust speech recognition via large-scale weak supervi- sion.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Ro- bust speech recognition via large-scale weak supervi- sion

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:11.587319Z

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Observation 66006c21-24d0-4f80-bc41-d76972f3d6c7 · outbound

This paper cites A survey of content-aware video analysis for sports.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding A survey of content-aware video analysis for sports

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:11.572304Z

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Observation 6c0c9609-71f9-48ee-8882-9429fe4287fc · outbound

This paper cites Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Reference 32

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Observation 265fff58-c1b4-48fe-b5bd-11efe1377f0e · outbound

This paper cites Deep high-resolution representation learning for hu- man pose estimation.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Deep high-resolution representation learning for hu- man pose estimation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:11.556913Z

Source-reported events for the cited work

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Observation eed846bf-d5e3-4afe-a04c-43c09344539a · outbound

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

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 34

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Observation 1ded6abc-9e0c-4668-bef3-ce9ee9498aa1 · outbound

This paper cites Motion-Agent: A Conversational Framework for Human Motion Generation with LLMs.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Motion-Agent: A Conversational Framework for Human Motion Generation with LLMs

Reference 35

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Observation dad11d71-e0b2-40e2-8877-f009ccad1fd9 · outbound

This paper cites SportQA: A Benchmark for Sports Understanding in Large Language Models.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding SportQA: A Benchmark for Sports Understanding in Large Language Models

Reference 36

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Observation b429bcac-9eb1-4e81-8b6a-6d0471ebc86c · outbound

This paper cites SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:11.080481Z

Source-reported events for the cited work

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Observation a0587a50-139f-449f-baa2-5469b0598b6b · outbound

This paper cites Skating-mixer: Long-term sport audio-visual model- ing with mlps.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Skating-mixer: Long-term sport audio-visual model- ing with mlps

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:11.540157Z

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Observation a952c11e-c79e-44df-92e7-79f3969efa2d · outbound

This paper cites Simple base- lines for human pose estimation and tracking.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Simple base- lines for human pose estimation and tracking

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:11.525713Z

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Observation e5000d01-bdea-4bb7-beb4-43d0d80df475 · outbound

This paper cites Learning to score figure skating sport videos.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Learning to score figure skating sport videos

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:11.510772Z

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Observation a6f1554f-f985-40fb-a26a-e4974f65b27c · outbound

This paper cites Spatio- temporal dynamic inference network for group ac- tivity recognition.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Spatio- temporal dynamic inference network for group ac- tivity recognition

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:11.495470Z

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Observation 347edff4-aced-40d5-80ff-2565623cc1c3 · outbound

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

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:11.103133Z

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Observation a505cde5-a4a9-4fd2-a44e-f5166ec827df · outbound

This paper cites Flash-VStream: Memory-Based Real-Time Understanding for Long Video Streams.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Flash-VStream: Memory-Based Real-Time Understanding for Long Video Streams

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:11.108036Z

Source-reported events for the cited work

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Observation 901c0c72-c493-4236-a48a-30cc1dc661ea · outbound

This paper cites A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-16T05:54:11.180350Z

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Observation 92952eb3-dd25-41a7-b3e3-d98278df5db4 · outbound

This paper cites Avatargpt: All-in-one framework for motion under- standing planning generation and beyond.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding Avatargpt: All-in-one framework for motion under- standing planning generation and beyond

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:54:11.481076Z

Source-reported events for the cited work

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Observation 4b39cb37-7762-47b2-9a86-dbd033a5fc00 · outbound

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

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T05:54:11.122415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.