P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture | Paper Citation Record

Observation 30762952-72a7-48bd-bc06-7c3a8b3e541d · outbound

This paper cites Vivit: A video vision transformer.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Vivit: A video vision transformer

Reference 1

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Observation 06fe4d81-9776-4d8d-9179-cfaee721a028 · outbound

This paper cites Hiervl: Learning hierarchical video-language embeddings.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Hiervl: Learning hierarchical video-language embeddings

Reference 2

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Observation eaf34c33-27d3-4183-832f-2c3259b86b69 · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 3

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Observation 3da0e6e3-d6c1-474f-85d2-583c6f207800 · outbound

This paper cites How much temporal long-term context is needed for action segmentation? InProceedings of the IEEE/CVF International Conference on Computer Vision, pages 10351–10361, 2023.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture How much temporal long-term context is needed for action segmentation? InProceedings of the IEEE/CVF International Conference on Computer Vision, pages 10351–10361, 2023

Reference 4

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Observation 23d89db5-1e21-4915-aeb7-475487c61feb · outbound

This paper cites My view is the best view: Procedure learning from egocentric videos.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture My view is the best view: Procedure learning from egocentric videos

Reference 5

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Observation b0c1c981-328a-4bf3-9c43-b96cdbc7e24b · outbound

This paper cites United we stand, divided we fall: Unitygraph for unsupervised procedure learning from videos.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture United we stand, divided we fall: Unitygraph for unsupervised procedure learning from videos

Reference 6

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Observation e8b411a7-43f5-43b1-9a15-60e3436c6fa6 · outbound

This paper cites Revisiting Feature Prediction for Learning Visual Representations from Video.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Revisiting Feature Prediction for Learning Visual Representations from Video

Reference 7

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Observation 8b162020-9d2a-4d11-bcfd-b631d8e2a47f · outbound

This paper cites Unified fully and timestamp supervised temporal action segmentation via sequence to sequence translation.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Unified fully and timestamp supervised temporal action segmentation via sequence to sequence translation

Reference 8

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Observation f6d52c73-000b-4da7-bb27-051020c1db05 · outbound

This paper cites an unresolved cited work.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Unresolved cited work

Reference 9

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Observation 7bbae96d-5dc0-4b67-acff-61f53883c12f · outbound

This paper cites Quo vadis, action recognition? a new model and the kinetics dataset.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Quo vadis, action recognition? a new model and the kinetics dataset

Reference 10

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Observation 88ba19b6-fd84-4cec-b005-5f0d3c09f131 · outbound

This paper cites Streaming videollms for real-time procedural video understanding.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Streaming videollms for real-time procedural video understanding

Reference 11

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Observation adfd7a1b-c00b-40d6-b48d-d34f0bb6a259 · outbound

This paper cites arXiv preprint arXiv:2512.10942 (2025).

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture arXiv preprint arXiv:2512.10942 (2025)

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:29:44.907216Z

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Observation 71aa14d4-081b-4f1c-aa51-6904dfc229d1 · outbound

This paper cites Videollm-online: Online video large language model for streaming video.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Videollm-online: Online video large language model for streaming video

Reference 13

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Observation 5364542d-b0f3-43cd-97e7-36697146a388 · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Reference 14

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Observation 00e27043-8aea-4f77-9b04-eed8cf749986 · outbound

This paper cites Unsupervised procedure learning via joint dynamic summarization.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Unsupervised procedure learning via joint dynamic summarization

Reference 15

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Observation df23605c-390b-4893-b90b-c47ee46ae557 · outbound

This paper cites Multiscale vision transformers.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Multiscale vision transformers

Reference 16

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Observation 11e5cc62-821d-420f-b000-10e97d582ceb · outbound

This paper cites Ms-tcn: Multi-stage temporal convolutional network for action segmentation.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Ms-tcn: Multi-stage temporal convolutional network for action segmentation

Reference 17

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Observation 3a446f45-2d4b-4628-a78d-1ca0422f4703 · outbound

This paper cites Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis

Reference 18

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Observation 1b034fb5-208c-4a7a-8c5f-5e15fc5b790e · outbound

This paper cites Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives

Reference 19

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Observation d7018eb6-96e9-4cf5-bf6e-6fef59e1f2cc · outbound

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

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Ma-lmm: Memory-augmented large multimodal model for long-term video understanding

Reference 20

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Observation b061230b-40aa-434d-a92a-4c5602cf849b · outbound

This paper cites What Changed and What Could Have Changed? State-Change Counterfactuals for Procedure-Aware Video Representation Learning.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture What Changed and What Could Have Changed? State-Change Counterfactuals for Procedure-Aware Video Representation Learning

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:29:44.910139Z

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Observation 7d9afdd9-8058-4dfc-bf36-35fc5bb7caed · outbound

This paper cites Video token merging for long video understanding.Advances in Neural Information Processing Systems, 37:13851–13871, 2024.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Video token merging for long video understanding.Advances in Neural Information Processing Systems, 37:13851–13871, 2024

Reference 22

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Observation 0162f33f-b6be-4529-becb-9eabebc5d2fa · outbound

This paper cites Temporal Reasoning Transfer from Text to Video.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Temporal Reasoning Transfer from Text to Video

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:29:44.917793Z

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Observation 5bbda93a-6220-42db-bad6-88ebc778d723 · outbound

This paper cites IEEE Trans- actions on Pattern Analysis and Machine Intelligence pp.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture IEEE Trans- actions on Pattern Analysis and Machine Intelligence pp

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-26T08:59:15.355133Z

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Observation f8fab75e-9cfe-40ad-9448-f9d310d6324c · outbound

This paper cites Tsm: Temporal shift module for efficient video understanding.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Tsm: Temporal shift module for efficient video understanding

Reference 25

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Observation 9f976101-5c0b-4d29-a98c-06ede3757fb5 · outbound

This paper cites TempCompass: Do Video LLMs Really Understand Videos?.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture TempCompass: Do Video LLMs Really Understand Videos?

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-07-04T10:29:44.912158Z

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Observation 1b79aa2e-9f30-45db-92e4-78d5dd7a1f0b · outbound

This paper cites Video swin transformer.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Video swin transformer

Reference 27

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Observation a546a6aa-27a6-4418-b6c9-32ae967c7b36 · outbound

This paper cites Fact: Frame-action cross-attention temporal modeling for efficient action segmentation.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Fact: Frame-action cross-attention temporal modeling for efficient action segmentation

Reference 28

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Observation fead2f64-dc68-4440-8ad1-adfa1389bf70 · outbound

This paper cites Streamer: Streaming representation learning and event segmentation in a hierarchical manner.Advances in Neural Information Processing Systems, 36: 45694–45715, 2023.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Streamer: Streaming representation learning and event segmentation in a hierarchical manner.Advances in Neural Information Processing Systems, 36: 45694–45715, 2023

Reference 29

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Observation 9476243b-aa54-45e4-85f3-ef0d67dc355f · outbound

This paper cites V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-07-04T10:29:44.926386Z

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Observation 83678f8d-02ef-4142-8e04-514bee9b5d4d · outbound

This paper cites Video transformer network.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Video transformer network

Reference 31

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Observation c11bbe3b-a71b-4b30-b643-19820b9c79e8 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Representation Learning with Contrastive Predictive Coding

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-07-04T10:29:44.912567Z

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Observation c51aedc1-5ff2-4ddc-bc71-e78bd51f5680 · outbound

This paper cites Hiero: understanding the hierarchy of human behavior enhances reasoning on egocentric videos.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Hiero: understanding the hierarchy of human behavior enhances reasoning on egocentric videos

Reference 33

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Observation 4ce97aa0-80c5-4523-80a0-8eaf7a7406b0 · outbound

This paper cites Omnia de egotempo: Benchmarking temporal understanding of multi-modal llms in egocentric videos.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Omnia de egotempo: Benchmarking temporal understanding of multi-modal llms in egocentric videos

Reference 34

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Observation cd01ca72-9e9d-4e0a-822e-3a5f0a10473f · outbound

This paper cites Egovlpv2: Egocentric video-language pre-training with fusion in the backbone.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Egovlpv2: Egocentric video-language pre-training with fusion in the backbone

Reference 35

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Observation 6bca6163-4a9e-44c0-9974-be842e71cff4 · outbound

This paper cites Learning from untrimmed videos: Self-supervised video representation learning with hierarchical consistency.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Learning from untrimmed videos: Self-supervised video representation learning with hierarchical consistency

Reference 36

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Observation 0a58456e-931f-4ce1-a837-dae08856644d · outbound

This paper cites Understanding Long Videos with Multimodal Language Models.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Understanding Long Videos with Multimodal Language Models

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:29:44.915306Z

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Observation bc406de2-06fd-4ddc-bae5-ee79b19bb3d7 · outbound

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

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Timechat: A time-sensitive multimodal large language model for long video understanding

Reference 38

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Observation ef084bf9-244c-42c1-98ff-a33632dfc924 · outbound

This paper cites Assembly101: A large-scale multi-view video dataset for understanding procedural activities.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Assembly101: A large-scale multi-view video dataset for understanding procedural activities

Reference 39

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Observation 3931da6f-60a2-49af-9c11-1c12b3e661a4 · outbound

This paper cites Video-xl: Extra-long vision language model for hour-scale video understanding.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Video-xl: Extra-long vision language model for hour-scale video understanding

Reference 40

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Observation d22fa270-00bf-4df9-9cdb-f4902d7533be · outbound

This paper cites C2f-tcn: A framework for semi-and fully-supervised temporal action segmentation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(10): 11484–11501, 2023.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture C2f-tcn: A framework for semi-and fully-supervised temporal action segmentation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(10): 11484–11501, 2023

Reference 41

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Observation 46b509a0-3dd0-476b-807d-d1fe345c9914 · outbound

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

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Moviechat: From dense token to sparse memory for long video understanding

Reference 42

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Observation 123104cd-b2ce-440a-8f35-f9ac36f28727 · outbound

This paper cites Moviechat+: Question- aware sparse memory for long video question answering.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Moviechat+: Question- aware sparse memory for long video question answering.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025

Reference 43

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Observation b2b77dd9-732d-48b1-90ab-5559d9311043 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024

Reference 44

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Observation df19cd4c-1f83-4b27-97c6-3020bc27712c · outbound

This paper cites Koala: Key frame-conditioned long video-llm.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Koala: Key frame-conditioned long video-llm

Reference 45

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Observation a501836b-12c1-4f49-8374-bbf318a41535 · outbound

This paper cites Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training.Advances in neural information processing systems, 35: 10078–10093, 2022.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training.Advances in neural information processing systems, 35: 10078–10093, 2022

Reference 46

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Observation a7d9282e-2770-4d41-8c3b-578a1d32c1c9 · outbound

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

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-07-04T10:29:44.917802Z

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Observation d6c02184-a138-4520-95a1-de0289740a77 · outbound

This paper cites Longvideobench: A benchmark for long-context interleaved video-language understanding.Advances in Neural Information Processing Systems, 37: 28828–28857, 2024.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Longvideobench: A benchmark for long-context interleaved video-language understanding.Advances in Neural Information Processing Systems, 37: 28828–28857, 2024

Reference 48

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Observation 0c7eca5d-c4c6-47f5-abb5-08d848f2ad82 · outbound

This paper cites Videollm-mod: Efficient video-language streaming with mixture- of-depths vision computation.Advances in Neural Information Processing Systems, 37:109922–109947, 2024.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Videollm-mod: Efficient video-language streaming with mixture- of-depths vision computation.Advances in Neural Information Processing Systems, 37:109922–109947, 2024

Reference 49

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Observation beb185d8-738a-44b3-a01f-5ef2ba2254cb · outbound

This paper cites Hierarchical self-supervised representation learning for movie understanding.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Hierarchical self-supervised representation learning for movie understanding

Reference 50

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Observation 4f24f1a1-63c1-4daf-b518-729a621678e3 · outbound

This paper cites ASFormer: Transformer for Action Segmentation.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture ASFormer: Transformer for Action Segmentation

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:29:44.923552Z

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Observation 77c22baa-aadc-4027-8c66-000783c501fc · outbound

This paper cites Learning procedure-aware video representation from instructional videos and their narrations.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Learning procedure-aware video representation from instructional videos and their narrations

Reference 52

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Observation b063b89b-3244-4784-9e16-80dc3c6b9334 · outbound

This paper cites Procedure-aware pretraining for instructional video understanding.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Procedure-aware pretraining for instructional video understanding

Reference 53

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Observation 7d1a366b-694e-4372-a3c8-d2394234f837 · outbound

This paper cites an unresolved cited work.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Unresolved cited work

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:29:44.929335Z

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