Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T11:29:26.829574Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2607.19876.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T11:29:26.829574Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T03:23:56.001153Z
A source-named dated measurement, never combined with another source.
Source: cited_works
44 of 44 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation f0bec22c-28cb-4ef5-8840-7af2f080b0fd · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding IEEE Rransactions On Biomedical Engineering59(8), 2126–2136 (2011)
Reference 1
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Observation fb3772a2-b771-4300-a781-f829ac8e3331 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding Unresolved cited work
Reference 2
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Observation a019e91c-0bd6-4b28-ad07-f4bb6993117b · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding Unresolved cited work
Reference 3
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Observation 19ad0c21-03fc-459d-984a-100b55531edc · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding In: Forty-first International Conference on Machine Learning (2024)
Reference 4
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Observation be450e8b-9f0d-4dbd-b0aa-b71a6b0ee643 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding WorldVLA: Towards Autoregressive Action World Model
Reference 5
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Observation 4cad73c2-b0bd-4619-b4a0-2bc14a609c71 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding Large Video Planner Enables Generalizable Robot Control
Reference 6
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Observation 7865cbed-69c9-459c-b973-8b2628f0808f · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding arXiv preprint arXiv:2509.22642 (2025)
Reference 7
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Observation 4ad8e54a-074b-470e-99ae-2c2512f3e397 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding arXiv preprint arXiv:2601.15282 (2026)
Reference 8
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Observation e06e6f49-29ab-42cb-9db6-1a19174821d3 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding Advances in neural information processing systems36, 9156–9172 (2023)
Reference 9
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Observation 4f6b16c3-ef27-413f-8021-092b73b312d9 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding arXiv preprint arXiv:2601.04137 (2026)
Reference 10
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Observation 88faf3cf-5294-42b8-b025-da1dcd0f5680 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding In: Advances in Neural Information Processing Systems 31, pp
Reference 11
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Observation a31d7177-79cb-4896-874d-72d52be1f750 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding Dream to Control: Learning Behaviors by Latent Imagination
Reference 12
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Observation a6ebf574-da82-4886-a65e-68dcb783d335 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding Mastering Atari with Discrete World Models
Reference 13
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Observation 83de1698-ba60-4587-9bc8-a91ca3dd0ad7 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding Nature pp
Reference 14
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Observation a41a65f7-99e5-43ac-9080-abd52fa43302 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations
Reference 15
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Observation 6d75970b-273b-4804-a559-0ec36c3ec82d · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) KineBench 17
Reference 16
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Observation f280fe87-d591-4adc-baf5-3ef5fae0b138 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding Advances in Neural Information Processing Systems38, 156210–156256 (2026)
Reference 17
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Observation f53832a5-dc6b-4807-94ad-16d8453bf9a6 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding Scaling Laws for Neural Language Models
Reference 18
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Observation c5cc074a-d759-4299-8afb-c945b0c3beae · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding HunyuanVideo: A Systematic Framework For Large Video Generative Models
Reference 19
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Observation 3b61dd4a-ec48-420e-ba4c-5ae8faf87a76 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding In: 2017 IEEE in- ternational conference on robotics and automation (ICRA)
Reference 20
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Observation 36b9eab8-c092-4c98-a569-016b136b3b34 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding arXiv preprint arXiv:2512.00425 (2025)
Reference 21
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Observation 790171f1-ce28-409a-b05e-2b5571c2a16d · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding 2, 2022-06-27
Reference 22
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Observation a6bb9b9c-e536-4474-9195-4baa33fd05e6 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models
Reference 23
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Observation 1c0ea38c-c512-4cd2-9b03-0ab15bca8308 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding In: International Conference on Machine Learning (ICML) (2025)
Reference 24
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Observation 95d9e18f-f1f9-4a49-b280-fd1e72f266fa · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding arXiv preprint arXiv:2510.25238 (2025)
Reference 25
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Observation a47b9edb-c936-48fd-bec1-fbe836c40988 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding WorldSimBench: Towards Video Generation Models as World Simulators
Reference 26
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Observation 84e1bf0e-39e2-4539-9807-18a55528360e · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding Seedance 1.5 pro: A Native Audio-Visual Joint Generation Foundation Model
Reference 27
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Observation ede7d53e-c132-466a-b3e4-3a1bfb2260d7 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding arXiv preprint arXiv:2510.09653 (2025)
Reference 28
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Observation 8bece776-46cc-48f0-824d-7b7d5ad00448 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding Towards Accurate Generative Models of Video: A New Metric & Challenges
Reference 29
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Observation 25f40919-177f-4af2-acb5-c76986b7159c · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding Unresolved cited work
Reference 30
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Observation 7e39da80-1fd0-4122-b39b-acdd34b18e5b · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding Wan: Open and Advanced Large-Scale Video Generative Models
Reference 31
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Observation 0f70b714-765e-472a-8f79-e6d4514afba4 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details
Reference 32
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Observation 234b79e4-c8fa-4329-b7e7-56d9aa18b42e · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding IEEE transactions on image processing 13(4), 600–612 (2004)
Reference 33
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Observation 5dc0b209-5f87-4d0e-bcdf-b7d91e429c18 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding In: Proceedings of the IEEE/CVF conference on Computer Vision and Pattern Recognition
Reference 34
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Observation 7001dd7a-d22c-4300-a5e1-3d8a2e2baa32 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding HunyuanVideo 1.5 Technical Report
Reference 35
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Observation 67681acf-cad7-47c6-a62f-1bb2b9e94a49 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding Learning Interactive Real-World Simulators
Reference 36
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Observation c3d2960a-94fb-484b-a31a-58ec298d0970 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding World Action Models are Zero-shot Policies
Reference 37
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Observation c1707769-d05d-4cf9-a218-709ba8044595 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding The international journal of Robotics Research4(2), 3–9 (1985)
Reference 38
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Observation 77f54af9-dbd2-4c52-bf59-c292b9527b20 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding arXiv preprint arXiv:2510.11512 (2025)
Reference 39
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Observation 6c30d7ff-2fd4-4f96-a87c-ed9d38af38f4 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding In: The Fourteenth International Conference on Learning Representations (2026), https://openreview.net/forum?id=yDmb7xAfeb
Reference 40
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Observation f8d337b6-5052-4d5f-90e4-c93a64758e2b · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding Trans- actions on Machine Learning Research (2025),https://openreview.net/forum? id=xT8BEgXmVc
Reference 41
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Observation c273e11a-52a4-4278-9603-a60fca99db42 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding In: The Thirty- ninthAnnualConferenceonNeuralInformationProcessingSystems(2025),https: //openreview.net/forum?id=rRxFIOoEeF
Reference 42
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Observation 6ca971ab-00ad-4683-bcca-c647fd995b48 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding arXiv preprint arXiv:2512.06963 (2025)
Reference 43
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Observation 4c6b651f-4e12-4a71-b62f-0093e301ac98 · outbound
KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding arXiv preprint arXiv:2506.18241 (2025)
Reference 44
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Observation a6bb979c-cc10-458d-8091-abfef7483c15 · inbound
WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding
Reference 29
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