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Paper Citation Record · LEDGER

PercepCap: Video Captioner with Structured Spatio-Temporal Perception

As of 22 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.20389.

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

pith.paper-citation-record.v1
2607.20389 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T10:02:03.322619Z

measured 43 of 43 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

43 of 43 outbound references displayed

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  • unresolved43
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation c8393da9-816f-444a-a576-4e81edcb2b57 · outbound

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

PercepCap: Video Captioner with Structured Spatio-Temporal Perception Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 1

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source=pdf_text observed=2026-08-01T10:02:03.126290Z digest=sha256:a19f6158e746e5096e17895ce6545adc6148997ebd21d16f2975e13b1aeaef85

Observation fd3d746c-0d31-4308-b2fd-fd6163347d76 · outbound

This paper cites Qwen2.5-VL Technical Report.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception Qwen2.5-VL Technical Report

Reference 2

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source=pdf_text observed=2026-08-01T10:02:03.131618Z digest=sha256:2ed085a08ad32942ba9ff777b6d4b8e5dfac4a2348bd653bfc7205816afca113

Observation e6ac68c0-9b2a-436d-a235-09b1308c211f · outbound

This paper cites Activitynet: A large- scale video benchmark for human activity understanding.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception Activitynet: A large- scale video benchmark for human activity understanding

Reference 3

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source=pdf_text observed=2026-08-01T10:02:03.136729Z digest=sha256:4ebdbb297bcfe2651c8c4b6f44ea73dd942a5cb0def34c79678c6be17cbb65e6

Observation 4a2ab20c-32cd-4207-afa5-4298ace80d12 · outbound

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

PercepCap: Video Captioner with Structured Spatio-Temporal Perception AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark

Reference 4

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source=pdf_text observed=2026-08-01T10:02:03.141536Z digest=sha256:2516bd6b07b3be78856982742592a2d8e04d7725e8d862812afda0d1e6f12d2e

Observation d7ca5978-b6db-44e8-a69b-e6aeb2321a94 · outbound

This paper cites VidCapBench: A Comprehensive Benchmark of Video Captioning for Controllable Text-to-Video Generation.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception VidCapBench: A Comprehensive Benchmark of Video Captioning for Controllable Text-to-Video Generation

Reference 5

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source=pdf_text observed=2026-08-01T10:02:03.146589Z digest=sha256:5d9e9b97f05aea1251ab1e6b5acef6a6e52a60326d8020d5cffd0cff6cc22f95

Observation 5e0cd9cf-368b-4956-b544-b5bbd374e380 · outbound

This paper cites Vidbridge-r1: Bridging QA and captioning for RL-based video understanding models with intermediate proxy tasks.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception Vidbridge-r1: Bridging QA and captioning for RL-based video understanding models with intermediate proxy tasks

Reference 6

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source=pdf_text observed=2026-08-01T10:02:03.151348Z digest=sha256:7e9ef4040d5deb8795b5d662463e7f755a5c7fa3113cee70be807b663129c456

Observation ddef46af-9b02-46dd-962e-ae0c6a8e9869 · outbound

This paper cites How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Reference 7

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source=pdf_text observed=2026-08-01T10:02:03.156349Z digest=sha256:eebd790f1099796884cc596dbf497cf6408bf188276444871b80b7a2c6edb98a

Observation 2793345b-030b-4ce0-b2ca-e126fe1c59c6 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 8

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source=pdf_text observed=2026-08-01T10:02:03.161003Z digest=sha256:29b95e840cbf847f347e81dc6d9e6daad3512ff5b1e2489821e13d7937f7c463

Observation e773c642-522a-4375-8026-1b9b52077a05 · outbound

This paper cites ARC-Hunyuan-Video-7B: Structured Video Comprehension of Real-World Shorts.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception ARC-Hunyuan-Video-7B: Structured Video Comprehension of Real-World Shorts

Reference 9

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source=pdf_text observed=2026-08-01T10:02:03.165633Z digest=sha256:ce4abbec7daba1448d1defa0210f76cdd894030e56eb909a7ce6fe60db30c6f7

Observation 60e1131a-e19f-4b5c-8192-c0af7254f2dd · outbound

This paper cites Gemini 3 Flash: frontier intelligence built for speed.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception Gemini 3 Flash: frontier intelligence built for speed

Reference 10

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source=pdf_text observed=2026-08-01T10:02:03.170486Z digest=sha256:137dc98712deb068bb252c8e107b7ce8f54432137e259306d09acbbb0ebbd507

Observation 94bdbe3d-c78a-48d8-9813-755d914c131b · outbound

This paper cites MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models

Reference 11

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source=pdf_text observed=2026-08-01T10:02:03.174754Z digest=sha256:73891800c177f6b45680bbec0b6384e66b76f2574482ffa72b5fe33edcfbe5cc

Observation d82e4985-eb75-4f10-b1a4-a9ed2fb4d011 · outbound

This paper cites VIDEOP2R: Video Understanding from Perception to Reasoning.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception VIDEOP2R: Video Understanding from Perception to Reasoning

Reference 12

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source=pdf_text observed=2026-08-01T10:02:03.179245Z digest=sha256:138e06fe8a5a3d3b99cfc441b991e22409c77e83e430cde0b337c1db29355809

Observation da513b2d-6f92-4f17-b154-02f62604a93d · outbound

This paper cites Kimi-VL Technical Report.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception Kimi-VL Technical Report

Reference 13

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source=pdf_text observed=2026-08-01T10:02:03.183827Z digest=sha256:da3a098fb2fa9fd83a2c134110eb491ad336b575bd0b6ba6f8030e319d5c4b8b

Observation e0b71761-28b1-4e0c-94a8-e8ab46ebfcca · outbound

This paper cites LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Reference 14

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source=pdf_text observed=2026-08-01T10:02:03.188685Z digest=sha256:ddbda2caad9183c711a2fe11d3aabb12646b9c5ffe2b5562b016b4ac679065d1

Observation d0afa628-5378-4971-a9fa-dec576fd2943 · outbound

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

PercepCap: Video Captioner with Structured Spatio-Temporal Perception VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning

Reference 15

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source=pdf_text observed=2026-08-01T10:02:03.193696Z digest=sha256:b228200df51b5273d48b1d1605515a8e4ab663e3f09953135e614113b478570e

Observation 138fd2ab-267f-4afa-8eab-76f6fbbcd211 · outbound

This paper cites Video-llava: Learning united visual representation by alignment before projection.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception Video-llava: Learning united visual representation by alignment before projection

Reference 16

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source=pdf_text observed=2026-08-01T10:02:03.198541Z digest=sha256:c0f4ac05519462e232c7d2da71dfc6358d869f433b94ca0dd11ea95b595a08bc

Observation 03a3248e-05ee-4294-9b22-3a62ec7e38fd · outbound

This paper cites MiMo-VL technical report, 2025.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception MiMo-VL technical report, 2025

Reference 17

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source=pdf_text observed=2026-08-01T10:02:03.203392Z digest=sha256:e28347b2807b3ae021c649150b4b196b4b7ad2aeac9b30bfdf846857a0044f25

Observation 32461e25-5782-49b6-a010-1cc41b265953 · outbound

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

PercepCap: Video Captioner with Structured Spatio-Temporal Perception VideoCap-R1: Enhancing MLLMs for Video Captioning via Structured Thinking

Reference 18

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source=pdf_text observed=2026-08-01T10:02:03.207694Z digest=sha256:a5cf295f0ddbb48b5ebe28bee226e0a21434e61d9fb01202b0346de661ef1c97

Observation 53729e25-2423-4d2d-9905-c59511a9fde8 · outbound

This paper cites an unresolved cited work.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception Unresolved cited work

Reference 19

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source=pdf_text observed=2026-08-01T10:02:03.212359Z digest=sha256:d8fab7f7642c6eec3ec59a6fd0e0bca806895e3a8529a6d7ded740206b13ea22

Observation a389b9d5-8ab3-4146-9ff9-23a00909d5e7 · outbound

This paper cites Qwen3.5: Towards native multimodal agents, 2026.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception Qwen3.5: Towards native multimodal agents, 2026

Reference 20

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source=pdf_text observed=2026-08-01T10:02:03.216944Z digest=sha256:639ab24313087da6e40a668df2ae7201ddd38e0e1bea37a929c8fbde23aa9888

Observation fe942059-c849-4b64-9137-101848421199 · outbound

This paper cites Timechat: A time-sensitive multimodal large language model for long video understanding.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception Timechat: A time-sensitive multimodal large language model for long video understanding

Reference 21

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source=pdf_text observed=2026-08-01T10:02:03.221848Z digest=sha256:529087241e35050882abc4787a5ca92dfba3e29c7051a18af127cf8336967121

Observation 4a40ff84-6af1-4376-960f-a9988d8681c8 · outbound

This paper cites Qwen3 technical report, 2025.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception Qwen3 technical report, 2025

Reference 22

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source=pdf_text observed=2026-08-01T10:02:03.226653Z digest=sha256:734c5676ad873ea26f588d430c529742a60388188815f38c2a24d64127817886

Observation 2c0f1f7c-4481-4f16-9324-f6b1129e406d · outbound

This paper cites Gemini 3.1 pro: A smarter model for your most complex tasks, 2026.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception Gemini 3.1 pro: A smarter model for your most complex tasks, 2026

Reference 23

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source=pdf_text observed=2026-08-01T10:02:03.230903Z digest=sha256:9c1e36e04866c8bf906df9a46e70bfa7f4c5a496f82d2ddf430a9bddfa8aa72b

Observation 4bef3798-b3c7-487e-941a-c8e92139deae · outbound

This paper cites Reft: Reasoning with reinforced fine-tuning.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception Reft: Reasoning with reinforced fine-tuning

Reference 24

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source=pdf_text observed=2026-08-01T10:02:03.235083Z digest=sha256:d456cd3e07c8495db31f79567ec27858a305bb31bcf61ac51909974336491f82

Observation 922b3bc3-e978-43ae-b0ff-2453d87e706f · outbound

This paper cites GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Reference 25

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source=pdf_text observed=2026-08-01T10:02:03.239135Z digest=sha256:3de7ac55031e278817bed126ccee14fc6f6c1e4397f49b004b1d044579f079f3

Observation 0f4661c7-a4c4-4aeb-8791-76af60bd4357 · outbound

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

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

Reference 26

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source=pdf_text observed=2026-08-01T10:02:03.243631Z digest=sha256:d2aba28416624c194475c54d7dc94375e6b8fabf40a11c31582f029b56a73ebf

Observation a5cf8e40-d2b5-4a4b-acff-aa37c7d95ec2 · outbound

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

PercepCap: Video Captioner with Structured Spatio-Temporal Perception Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 27

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source=pdf_text observed=2026-08-01T10:02:03.248142Z digest=sha256:058bdc0f3e548ae8def3c9bfb632ec8b8dc3e204b7d350e0aac69187df2ca0f3

Observation f6a1186f-f177-43b6-91e8-07412c4b0314 · outbound

This paper cites YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark

Reference 28

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source=pdf_text observed=2026-08-01T10:02:03.252658Z digest=sha256:e5f3fa5a0cd588127a5347cc355ce418dd7f2a17009162115565ab8a38cdc2ba

Observation 403360a5-3898-4e15-b88c-8971218457de · outbound

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

PercepCap: Video Captioner with Structured Spatio-Temporal Perception CaReBench: A Fine-Grained Benchmark for Video Captioning and Retrieval

Reference 29

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source=pdf_text observed=2026-08-01T10:02:03.257559Z digest=sha256:2b8ecbab565de9bf7735025704196e63227486461eb7dad99c596ad1137f1dd0

Observation d0a9f074-7e9a-4d3e-b4f4-83053fe8869b · outbound

This paper cites Videochat-r1.5: Visual test-time scaling to reinforce multimodal reasoning by iterative perception.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception Videochat-r1.5: Visual test-time scaling to reinforce multimodal reasoning by iterative perception

Reference 30

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source=pdf_text observed=2026-08-01T10:02:03.262030Z digest=sha256:1fa7bbf462b7283058374d35294f1b5521d33f6f3957784984dd9ff06d8301bb

Observation 7deff422-86ba-4f42-a199-15919089ae58 · outbound

This paper cites TimeChat-Captioner: Scripting Multi-Scene Videos with Time-Aware and Structural Audio-Visual Captions.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception TimeChat-Captioner: Scripting Multi-Scene Videos with Time-Aware and Structural Audio-Visual Captions

Reference 31

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source=pdf_text observed=2026-08-01T10:02:03.266407Z digest=sha256:913a2f3fdc0215a497cd544c889e6738643ac8f8c35861b65d8f3bbede3f6ff8

Observation de40401e-a909-464c-817d-d64cb75620bf · outbound

This paper cites Timelens: Rethinking video temporal grounding with multimodal llms.CoRR, abs/2512.14698, 2025.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception Timelens: Rethinking video temporal grounding with multimodal llms.CoRR, abs/2512.14698, 2025

Reference 32

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Observation 4aa51a07-7303-412e-9152-bd644c668234 · outbound

This paper cites perception.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception perception

Reference 33

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Observation f72a2dfa-011d-49dc-a372-c0d2efa55601 · outbound

This paper cites an unresolved cited work.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception Unresolved cited work

Reference 34

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source=pdf_text observed=2026-08-01T10:02:03.280832Z digest=sha256:7e655ba358d4c1c4c88880d743c52c62c9ef68a60b602261c9db726a29427bcb

Observation 516049fe-0bb4-49ef-a319-813a14a8e89d · outbound

This paper cites These extracted textual contents define which entities and events must appear in the perception trace.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception These extracted textual contents define which entities and events must appear in the perception trace

Reference 35

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Observation 46c5d169-24b9-4bae-85e2-2b1f2ae60a82 · outbound

This paper cites 14 Figure 5: Constructed training example from Caption-Anchored Perception Data Construction.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception 14 Figure 5: Constructed training example from Caption-Anchored Perception Data Construction

Reference 36

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source=pdf_text observed=2026-08-01T10:02:03.290370Z digest=sha256:bd7622b3439f9e23c1b24d4e345d07ae08a1cb75b861fb7d79d7388a35e593d4

Observation 20d487d8-a1ea-47bf-9f0b-2becda677cf1 · outbound

This paper cites objects". - The value of.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception objects". - The value of

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-01T10:02:03.294926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:02:03.294926Z digest=sha256:a21e811008a361dd1bbda55b465b8bf64902bae7ec779354177fd764daab3193

Observation 70a5bb5e-573c-4fb4-95cb-3cb8e7635d20 · outbound

This paper cites - The same real-world instance MUST keep the same id across frames.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception - The same real-world instance MUST keep the same id across frames

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-01T10:02:03.299431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:02:03.299431Z digest=sha256:46564ffdb735954e1e949cf2b0103d90e6e174bdcce54b7bfc0f4fe901ddbacd

Observation ec7877d2-57b9-4db1-8847-142a7023c16f · outbound

This paper cites an unresolved cited work.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception Unresolved cited work

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-01T10:02:03.304452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:02:03.304452Z digest=sha256:5f082b00783bd09ebbf929e78a8c69b9ebf0b34dac3b508af9d657b864dde9f3

Observation b0e5937c-4035-4979-9a5f-42c853934163 · outbound

This paper cites - bbox_2d: [xmin, ymin, xmax, ymax] in relative pixel coordinates, range [0, 1000].

PercepCap: Video Captioner with Structured Spatio-Temporal Perception - bbox_2d: [xmin, ymin, xmax, ymax] in relative pixel coordinates, range [0, 1000]

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-01T10:02:03.309760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:02:03.309760Z digest=sha256:1b66d20d6a0b0632801079319357d672f6bc01a71bdd97ae54686ef3f985cb36

Observation eefe8180-7335-4187-a559-1eab0c4047e6 · outbound

This paper cites an unresolved cited work.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-01T10:02:03.313844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:02:03.313844Z digest=sha256:aec73d55e13765ba3cc53ab4d8eff28fa421078bf648743c73557bbd9449613e

Observation 06653c42-c7b0-4e5d-8f5c-a112c2d4dcfd · outbound

This paper cites an unresolved cited work.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-01T10:02:03.318125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:02:03.318125Z digest=sha256:63c6dfcc6ee4be5f50003329c75acb53e6a3be494582caf2ba396e388264e5af

Observation c8b9f358-5f34-4e56-be07-028c06531626 · outbound

This paper cites objects":[{.

PercepCap: Video Captioner with Structured Spatio-Temporal Perception objects":[{

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-01T10:02:03.322619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:02:03.322619Z digest=sha256:cd57cba3cd4b22d1e092972bcf28b6bb7b58962029d227c16468b275b3a47616

Pith citing papers

No inbound Pith citation observations are available.