{"as_of":"2026-08-14T11:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:94b33f841235672d8b78a438d0aa0efc87b2f6f1b605e6814103fb10c48716f0","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":29,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":29,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":29,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":29,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T15:28:29.402677Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T03:39:29.096987Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20340","snapshot_observed_at":"2026-08-12T15:28:29.402677Z","title":"Motionllm: Understanding human behaviors from human motions and videos","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.14205","last_updated":"2024-11-21T15:13:38Z","snapshot_observed_at":"2026-08-14T00:55:27.245561Z","submitted_at":"2024-11-21T15:13:38Z","title":"Is this Generated Person Existed in Real-world? Fine-grained Detecting and Calibrating Abnormal Human-body","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T15:28:29.402677Z"},"links":{"cited_paper":"/paper/2405.20340","citing_paper":"/paper/2411.14205"},"observation_digest":"sha256:c2fc508bfcab7fece7d6eb133e0fa66f00d070b2e175a9ba9ae81e688f96cc9d","observation_id":"6f6dfef2-cd9a-45d5-aff0-479e14399498","resolution":{"observed_at":"2026-08-12T15:28:29.402677Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20340","snapshot_observed_at":"2026-08-12T14:20:20.987065Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.15472","last_updated":"2025-08-03T07:16:03Z","snapshot_observed_at":"2026-08-13T20:50:05.254722Z","submitted_at":"2024-11-23T06:50:11Z","title":"KinMo: Kinematic-aware Human Motion Understanding and Generation","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T14:20:20.987065Z"},"links":{"cited_paper":"/paper/2405.20340","citing_paper":"/paper/2411.15472"},"observation_digest":"sha256:151efe8507620208b0d3c30c83ffa100612bdba54d6fef1bafe23a4b162a57bd","observation_id":"5438a1b2-816d-41d1-a9a9-32d81d4ca416","resolution":{"observed_at":"2026-08-12T14:20:20.987065Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20340","snapshot_observed_at":"2026-08-12T13:13:18.222752Z","title":"Motionllm: Understanding human behaviors from human motions and videos","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16805","last_updated":"2025-03-26T04:20:11Z","snapshot_observed_at":"2026-08-12T23:43:30.022677Z","submitted_at":"2024-11-25T14:38:43Z","title":"Human Motion Instruction Tuning","version":4},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T13:13:18.222752Z"},"links":{"cited_paper":"/paper/2405.20340","citing_paper":"/paper/2411.16805"},"observation_digest":"sha256:7acebe8abe75e19e9fdeaca2a71c96a05b9e35a9c9178519b515121da9d24503","observation_id":"a233246d-6ccd-4f84-8363-eeed5e8b1729","resolution":{"observed_at":"2026-08-12T13:13:18.222752Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20340","snapshot_observed_at":"2026-08-12T12:17:48.174143Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17335","last_updated":"2025-05-26T15:27:18Z","snapshot_observed_at":"2026-08-14T02:26:50.331338Z","submitted_at":"2024-11-26T11:28:01Z","title":"VersatileMotion: A Unified Framework for Motion Synthesis and Comprehension","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T12:17:48.174143Z"},"links":{"cited_paper":"/paper/2405.20340","citing_paper":"/paper/2411.17335"},"observation_digest":"sha256:ddcaaf4a0f20a04dade4b3d15ac4b98fbd1beef13a4f284bcf8f46e888e99f82","observation_id":"db136ff7-cbf6-4773-95b2-aaaff2250ae2","resolution":{"observed_at":"2026-08-12T12:17:48.174143Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20340","snapshot_observed_at":"2026-08-12T10:13:40.506000Z","title":"Motionllm: Understanding human behaviors from human motions and videos","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.19459","last_updated":"2024-11-29T04:09:13Z","snapshot_observed_at":"2026-08-14T02:26:32.033629Z","submitted_at":"2024-11-29T04:09:13Z","title":"Fleximo: Towards Flexible Text-to-Human Motion Video Generation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:40.506000Z"},"links":{"cited_paper":"/paper/2405.20340","citing_paper":"/paper/2411.19459"},"observation_digest":"sha256:68dfbf1acb694673dfc2ff7661d608243a774c298f1a67bf72a32be555b38bb3","observation_id":"07729790-99de-4d0b-82e3-90bd3ef760d0","resolution":{"observed_at":"2026-08-12T10:13:40.506000Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20340","snapshot_observed_at":"2026-08-11T21:36:19.604526Z","title":"Motionllm: Understanding human behaviors from human motions and videos","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.04343","last_updated":"2024-12-05T17:01:09Z","snapshot_observed_at":"2026-08-12T23:54:15.223132Z","submitted_at":"2024-12-05T17:01:09Z","title":"RMD: A Simple Baseline for More General Human Motion Generation via Training-free Retrieval-Augmented Motion Diffuse","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T21:36:19.604526Z"},"links":{"cited_paper":"/paper/2405.20340","citing_paper":"/paper/2412.04343"},"observation_digest":"sha256:10c23a2baa49d481e6b2c309a651f780f28d9cbb86f0badbf0b3f93e59006329","observation_id":"97492022-295e-4998-8e7d-6951bac0b6c7","resolution":{"observed_at":"2026-08-11T21:36:19.604526Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20340","snapshot_observed_at":"2026-08-11T20:47:38.174812Z","title":"Motionllm: Understanding human behaviors from human motions and videos","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.05460","last_updated":"2024-12-06T22:57:36Z","snapshot_observed_at":"2026-08-12T03:01:35.456345Z","submitted_at":"2024-12-06T22:57:36Z","title":"CigTime: Corrective Instruction Generation Through Inverse Motion Editing","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T20:47:38.174812Z"},"links":{"cited_paper":"/paper/2405.20340","citing_paper":"/paper/2412.05460"},"observation_digest":"sha256:1e076560b192341c69f8d0d06598e16dd0734ab1a223158919f0c96da49cab42","observation_id":"efcda853-e0c6-4029-b4b2-8c04e5191e84","resolution":{"observed_at":"2026-08-11T20:47:38.174812Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20340","snapshot_observed_at":"2026-08-11T12:47:17.084732Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.13845","last_updated":"2025-02-24T03:37:59Z","snapshot_observed_at":"2026-08-14T06:36:51.462678Z","submitted_at":"2024-12-18T13:38:06Z","title":"Do Language Models Understand Time?","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T12:47:17.084732Z"},"links":{"cited_paper":"/paper/2405.20340","citing_paper":"/paper/2412.13845"},"observation_digest":"sha256:64361f9e2263eb396d53e2f4253ecb88aea9f4bf8fdaf5ee375ea6139b363289","observation_id":"c189a07d-1a24-4638-b501-b92ab1a7af94","resolution":{"observed_at":"2026-08-11T12:47:17.084732Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20340","snapshot_observed_at":"2026-08-10T21:22:52.371099Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.05098","last_updated":"2025-01-09T09:37:27Z","snapshot_observed_at":"2026-08-13T18:50:06.849147Z","submitted_at":"2025-01-09T09:37:27Z","title":"Motion-X++: A Large-Scale Multimodal 3D Whole-body Human Motion Dataset","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-10T21:22:52.371099Z"},"links":{"cited_paper":"/paper/2405.20340","citing_paper":"/paper/2501.05098"},"observation_digest":"sha256:7e551a1f69b9decb1703722a6012e0d9811bf082cdd97ba739b0731fb45b589e","observation_id":"4ca3ea59-49d4-4f91-802a-5c214e755715","resolution":{"observed_at":"2026-08-10T21:22:52.371099Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20340","snapshot_observed_at":"2026-08-10T16:27:06.184345Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.13183","last_updated":"2025-01-22T19:30:28Z","snapshot_observed_at":"2026-08-14T07:33:00.380179Z","submitted_at":"2025-01-22T19:30:28Z","title":"MONA: Moving Object Detection from Videos Shot by Dynamic Camera","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-10T16:27:06.184345Z"},"links":{"cited_paper":"/paper/2405.20340","citing_paper":"/paper/2501.13183"},"observation_digest":"sha256:9e68b7ea96299dabfd43f859d3b3cd533aa9faad487dfb36a2f46a9fb2bd1f17","observation_id":"ca6bcbf5-00b7-4aa8-8117-968ff3d1926c","resolution":{"observed_at":"2026-08-10T16:27:06.184345Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20340","snapshot_observed_at":"2026-08-10T14:40:55.176113Z","title":"Motionllm: Understanding human behaviors from human motions and videos","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.15111","last_updated":"2025-01-25T07:26:37Z","snapshot_observed_at":"2026-08-13T14:25:54.211530Z","submitted_at":"2025-01-25T07:26:37Z","title":"HumanOmni: A Large Vision-Speech Language Model for Human-Centric Video Understanding","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T14:40:55.176113Z"},"links":{"cited_paper":"/paper/2405.20340","citing_paper":"/paper/2501.15111"},"observation_digest":"sha256:f7be385826730cc8ba735a7af43ea4b212a815b9c0d8e5e630c575ffa6750b9c","observation_id":"de743046-e7ae-48a9-87c3-59bfa99d8306","resolution":{"observed_at":"2026-08-10T14:40:55.176113Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20340","snapshot_observed_at":"2026-08-09T13:32:01.163004Z","title":"Motionllm: Understanding human behaviors from human motions and videos","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.02063","last_updated":"2025-02-04T07:22:07Z","snapshot_observed_at":"2026-08-13T16:52:28.507264Z","submitted_at":"2025-02-04T07:22:07Z","title":"CASIM: Composite Aware Semantic Injection for Text to Motion Generation","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-09T13:32:01.163004Z"},"links":{"cited_paper":"/paper/2405.20340","citing_paper":"/paper/2502.02063"},"observation_digest":"sha256:76d9927d7b206a6b0b7ff280c5ebe2a93469ca5f0ad77fcf87aa7f3c56d1b40c","observation_id":"d051129c-b82d-4049-80f4-6d83223506d9","resolution":{"observed_at":"2026-08-09T13:32:01.163004Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20340","snapshot_observed_at":"2026-08-07T13:48:10.244869Z","title":"Motionllm: Understanding human behaviors from human motions and videos.arXiv preprint arXiv:2405.20340, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20920","last_updated":"2025-05-27T09:10:59Z","snapshot_observed_at":"2026-08-13T10:47:41.784197Z","submitted_at":"2025-05-27T09:10:59Z","title":"HuMoCon: Concept Discovery for Human Motion Understanding","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T13:48:10.244869Z"},"links":{"cited_paper":"/paper/2405.20340","citing_paper":"/paper/2505.20920"},"observation_digest":"sha256:ded04f9276ba68d5f3198e59084eefe1d36661fcaaaa86f593e32b8abf54b06d","observation_id":"778a610e-bda4-495d-a79b-d180f7739efe","resolution":{"observed_at":"2026-08-07T13:48:10.244869Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20340","snapshot_observed_at":"2026-08-07T13:46:13.585941Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.21146","last_updated":"2025-05-27T12:57:37Z","snapshot_observed_at":"2026-08-09T16:26:02.419552Z","submitted_at":"2025-05-27T12:57:37Z","title":"IKMo: Image-Keyframed Motion Generation with Trajectory-Pose Conditioned Motion Diffusion Model","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T13:46:13.585941Z"},"links":{"cited_paper":"/paper/2405.20340","citing_paper":"/paper/2505.21146"},"observation_digest":"sha256:362ca3959e7f25a6ee7fdf762961b22acf9f846aff69f9f373ab554fab3b47c1","observation_id":"05b0f365-19fe-4908-9250-23e6dc6569f5","resolution":{"observed_at":"2026-08-07T13:46:13.585941Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20340","snapshot_observed_at":"2026-08-07T12:06:27.907738Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03191","last_updated":"2025-05-31T11:02:24Z","snapshot_observed_at":"2026-08-08T02:50:50.296059Z","submitted_at":"2025-05-31T11:02:24Z","title":"Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-07T12:06:27.907738Z"},"links":{"cited_paper":"/paper/2405.20340","citing_paper":"/paper/2506.03191"},"observation_digest":"sha256:66ddf9a7cfb4daf9fcb3075419f55e3b298f0cc470ead9b9cf6d1acd68ca3895","observation_id":"8ce634ec-3c2a-48dc-938a-0d2ab47f9bc8","resolution":{"observed_at":"2026-08-07T12:06:27.907738Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20340","snapshot_observed_at":"2026-08-06T20:29:48.674994Z","title":"Motion- llm: Understanding human behaviors from human motions and videos","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.02591","last_updated":"2025-07-23T07:25:27Z","snapshot_observed_at":"2026-08-09T23:16:14.999128Z","submitted_at":"2025-07-03T12:55:16Z","title":"AuroraLong: Bringing RNNs Back to Efficient Open-Ended Video Understanding","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T20:29:48.674994Z"},"links":{"cited_paper":"/paper/2405.20340","citing_paper":"/paper/2507.02591"},"observation_digest":"sha256:f1ad0e4af36c41b8f2fef138b83bf87d5707537528b2f8be1f3a676be3c5430f","observation_id":"54b94232-4936-4c5b-83ae-3360eb5bea48","resolution":{"observed_at":"2026-08-06T20:29:48.674994Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20340","snapshot_observed_at":"2026-08-06T17:22:08.784420Z","title":"Motionllm: Understanding human behaviors from human motions and videos","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.11102","last_updated":"2025-07-15T08:52:28Z","snapshot_observed_at":"2026-08-14T06:13:06.826406Z","submitted_at":"2025-07-15T08:52:28Z","title":"KptLLM++: Towards Generic Keypoint Comprehension with Large Language Model","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T17:22:08.784420Z"},"links":{"cited_paper":"/paper/2405.20340","citing_paper":"/paper/2507.11102"},"observation_digest":"sha256:05afe17751360fc66023f941a735a4acc9a08ca0c60713d3037e36ad7eb591b1","observation_id":"41e14b63-2c7c-442a-a5df-bdb37a9e620a","resolution":{"observed_at":"2026-08-06T17:22:08.784420Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20340","snapshot_observed_at":"2026-08-06T15:33:45.839617Z","title":"Motionllm: Understanding human behaviors from human motions and videos.arXiv preprint arXiv:2405.20340, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.15597","last_updated":"2025-07-21T13:19:09Z","snapshot_observed_at":"2026-08-06T15:25:42.125132Z","submitted_at":"2025-07-21T13:19:09Z","title":"Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-06T15:33:45.839617Z"},"links":{"cited_paper":"/paper/2405.20340","citing_paper":"/paper/2507.15597"},"observation_digest":"sha256:8c2d109bce4befba809813a8c7dd6fbd6bfe4b9b65a74355929858ed08e2826f","observation_id":"f7cd73b6-a9aa-41d4-97c9-144cc1f960c5","resolution":{"observed_at":"2026-08-06T15:33:45.839617Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20340","snapshot_observed_at":"2026-08-05T21:54:59.349922Z","title":"Motionllm: Understanding human behaviors from human motions and videos.arXiv preprint arXiv:2405.20340, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.07863","last_updated":"2025-08-11T11:26:10Z","snapshot_observed_at":"2026-08-14T11:10:09.234498Z","submitted_at":"2025-08-11T11:26:10Z","title":"Being-M0.5: A Real-Time Controllable Vision-Language-Motion Model","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T21:54:59.349922Z"},"links":{"cited_paper":"/paper/2405.20340","citing_paper":"/paper/2508.07863"},"observation_digest":"sha256:fa99eeeef055cc8e06426bcc311b853dada34badb8016b495360e7546f2c8fb7","observation_id":"c0d45bf0-6888-4ddc-82c2-125238f37983","resolution":{"observed_at":"2026-08-05T21:54:59.349922Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20340","snapshot_observed_at":"2026-08-05T19:03:09.468537Z","title":"Motionllm: Understanding human behaviors from human motions and videos","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.13692","last_updated":"2025-08-19T09:52:04Z","snapshot_observed_at":"2026-08-13T22:53:42.934950Z","submitted_at":"2025-08-19T09:52:04Z","title":"HumanPCR: Probing MLLM Capabilities in Diverse Human-Centric Scenes","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-05T19:03:09.468537Z"},"links":{"cited_paper":"/paper/2405.20340","citing_paper":"/paper/2508.13692"},"observation_digest":"sha256:b1ecde2062d235eec90132ec23b5662dc4ef85bd2227a7c20524d1b10920a04b","observation_id":"5a7c04f5-6443-4215-8b94-e45c166ae1ed","resolution":{"observed_at":"2026-08-05T19:03:09.468537Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20340","snapshot_observed_at":"2026-08-05T12:35:04.892673Z","title":"Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., Gelly, S., Uszkoreit, J., and Houlsby, N","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2509.01471","last_updated":"2025-09-01T13:39:14Z","snapshot_observed_at":"2026-08-09T07:43:47.591000Z","submitted_at":"2025-09-01T13:39:14Z","title":"Hierarchical Motion Captioning Utilizing External Text Data Source","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-05T12:35:04.892673Z"},"links":{"cited_paper":"/paper/2405.20340","citing_paper":"/paper/2509.01471"},"observation_digest":"sha256:4105cfd086da454e42884e66c649302e4af5863b83489ad9c73301e7178b9fef","observation_id":"65a20522-797f-474f-bae5-05e15825bd9c","resolution":{"observed_at":"2026-08-05T12:35:04.892673Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","version":1},"cited_work":{"arxiv_id":"2405.20340","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.20340","snapshot_observed_at":"2026-07-04T03:39:29.096987Z","title":"Motionllm: Understanding human behaviors from human motions and videos","venue":null,"work_id":"8fefb27e-4d05-4ce7-8de7-944336c1288d","year":2024},"citing_paper":{"arxiv_id":"2511.18373","last_updated":"2026-04-11T05:44:20Z","snapshot_observed_at":"2026-08-11T05:10:55.239779Z","submitted_at":"2025-11-23T09:43:44Z","title":"MASS: Motion-Aware Spatial-Temporal Grounding for Physics Reasoning and Comprehension in Vision-Language Models","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-17T05:55:11.495430Z"},"links":{"cited_paper":"/paper/2405.20340","citing_paper":"/paper/2511.18373"},"observation_digest":"sha256:62b178e90b66d59b05dd9a81bfbf4c8250256da60bb9381e5fe68fcc96c57568","observation_id":"05ee7cd5-197e-498a-9d01-c2db73514fbb","resolution":{"observed_at":"2026-05-17T05:59:08.668703Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20340","snapshot_observed_at":"2026-08-03T05:29:27.699878Z","title":"Motionllm: Understanding human behaviors from human motions and videos.arXiv preprint arXiv:2405.20340, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.02401","last_updated":"2026-07-07T06:51:43Z","snapshot_observed_at":"2026-08-13T10:34:19.282675Z","submitted_at":"2026-02-02T17:59:01Z","title":"Superman: Unifying Skeleton and Vision for Human Motion Perception and Generation","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T05:29:27.699878Z"},"links":{"cited_paper":"/paper/2405.20340","citing_paper":"/paper/2602.02401"},"observation_digest":"sha256:61eef36d0c8c8389c145f36a637b0000b602d5e3e969f5dc42bb126b04ff7670","observation_id":"a3a45041-6704-43b5-98d6-654eeb4c829f","resolution":{"observed_at":"2026-08-03T05:29:27.699878Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20340","snapshot_observed_at":"2026-07-13T20:17:37.389126Z","title":"arXiv preprint arXiv:2405.20340 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.22282","last_updated":"2026-06-27T20:51:08Z","snapshot_observed_at":"2026-08-13T09:04:30.176044Z","submitted_at":"2026-03-23T17:59:48Z","title":"UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-13T20:17:37.389126Z"},"links":{"cited_paper":"/paper/2405.20340","citing_paper":"/paper/2603.22282"},"observation_digest":"sha256:07140cbfb14c0166de74a7cdc3d430f269b2d38a9e07152df96d18e66d660ae6","observation_id":"ca3d3740-6eab-443e-9fd9-2dfdf2a49c07","resolution":{"observed_at":"2026-07-13T20:17:37.389126Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","version":1},"cited_work":{"arxiv_id":"2405.20340","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.20340","snapshot_observed_at":"2026-07-04T03:39:29.096987Z","title":"Motionllm: Understanding human behaviors from human motions and videos","venue":null,"work_id":"8fefb27e-4d05-4ce7-8de7-944336c1288d","year":2024},"citing_paper":{"arxiv_id":"2604.21926","last_updated":"2026-04-23T17:59:16Z","snapshot_observed_at":"2026-08-11T11:36:37.131793Z","submitted_at":"2026-04-23T17:59:16Z","title":"Seeing Without Eyes: 4D Human-Scene Understanding from Wearable IMUs","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-09T21:59:00.442135Z"},"links":{"cited_paper":"/paper/2405.20340","citing_paper":"/paper/2604.21926"},"observation_digest":"sha256:acb1ebaa06a0554cef864eac3ab756f4631ca728e2a7b51ea3c2cedb563390de","observation_id":"76407d53-ee9b-4346-81d1-5900af9b42db","resolution":{"observed_at":"2026-05-11T14:21:07.101462Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","version":1},"cited_work":{"arxiv_id":"2405.20340","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.20340","snapshot_observed_at":"2026-07-04T03:39:29.096987Z","title":"Motionllm: Understanding human behaviors from human motions and videos","venue":null,"work_id":"8fefb27e-4d05-4ce7-8de7-944336c1288d","year":2024},"citing_paper":{"arxiv_id":"2604.23264","last_updated":"2026-04-25T12:16:37Z","snapshot_observed_at":"2026-08-12T15:52:10.211175Z","submitted_at":"2026-04-25T12:16:37Z","title":"MotionHiFlow: Text-to-motion via hierarchical flow matching","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-08T08:28:42.524111Z"},"links":{"cited_paper":"/paper/2405.20340","citing_paper":"/paper/2604.23264"},"observation_digest":"sha256:5183f7159d98134b35d4214ef1e3e2f1b8ccca733d0bfbcfd2efb2d3ccab1657","observation_id":"5735b75f-2e32-4b48-8fbb-c2bace7baf84","resolution":{"observed_at":"2026-05-11T20:36:10.922429Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","version":1},"cited_work":{"arxiv_id":"2405.20340","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.20340","snapshot_observed_at":"2026-07-04T03:39:29.096987Z","title":"Motionllm: Understanding human behaviors from human motions and videos","venue":null,"work_id":"8fefb27e-4d05-4ce7-8de7-944336c1288d","year":2024},"citing_paper":{"arxiv_id":"2605.14070","last_updated":"2026-05-13T19:47:07Z","snapshot_observed_at":"2026-08-14T00:57:37.619110Z","submitted_at":"2026-05-13T19:47:07Z","title":"WirelessSenseLLM: Zero-Shot Human Activity Understanding by Bridging Wireless Signals and Human Language","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-15T02:26:59.318141Z"},"links":{"cited_paper":"/paper/2405.20340","citing_paper":"/paper/2605.14070"},"observation_digest":"sha256:8df15f1efa4aa72a0cda46fd70da8461b76f087122f8ce9e5adde4b776fa3b8c","observation_id":"4d25b8dc-0f5e-4756-b49e-222cac66069f","resolution":{"observed_at":"2026-05-15T02:28:30.749765Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","version":1},"cited_work":{"arxiv_id":"2405.20340","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.20340","snapshot_observed_at":"2026-07-04T03:39:29.096987Z","title":"Motionllm: Understanding human behaviors from human motions and videos","venue":null,"work_id":"8fefb27e-4d05-4ce7-8de7-944336c1288d","year":2024},"citing_paper":{"arxiv_id":"2606.04773","last_updated":"2026-06-03T11:53:57Z","snapshot_observed_at":"2026-08-07T06:09:02.341844Z","submitted_at":"2026-06-03T11:53:57Z","title":"NextMotionQA: Benchmarking and Judging Human Motion Understanding with Vision-Language Models","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-06-28T06:55:22.332372Z"},"links":{"cited_paper":"/paper/2405.20340","citing_paper":"/paper/2606.04773"},"observation_digest":"sha256:fbffd75fe0705ae16059cf112d86acab31d72a0dcbefefdd4b7d42b73706cee6","observation_id":"b8cca54f-72ac-49c7-bfe2-839abf946976","resolution":{"observed_at":"2026-07-02T07:26:46.201459Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos","version":1},"cited_work":{"arxiv_id":"2405.20340","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.20340","snapshot_observed_at":"2026-07-04T03:39:29.096987Z","title":"Motionllm: Understanding human behaviors from human motions and videos","venue":null,"work_id":"8fefb27e-4d05-4ce7-8de7-944336c1288d","year":2024},"citing_paper":{"arxiv_id":"2606.20888","last_updated":"2026-06-18T19:31:56Z","snapshot_observed_at":"2026-08-04T06:10:35.180878Z","submitted_at":"2026-06-18T19:31:56Z","title":"Fine-grained Human Motion Understanding with Language Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-26T17:55:49.866744Z"},"links":{"cited_paper":"/paper/2405.20340","citing_paper":"/paper/2606.20888"},"observation_digest":"sha256:b62d739f9791a429a0fc86c83c203e338c2fdb8d76f070dba05725c96d7ba3de","observation_id":"871a9618-42eb-4be6-9d14-4a500309b68d","resolution":{"observed_at":"2026-07-04T03:39:29.100697Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2405.20340/citation-record","integrity":"/paper/2405.20340/integrity","json":"/paper/2405.20340/citation-record.json","paper":"/paper/2405.20340"},"outbound":[],"paper":{"arxiv_id":"2405.20340","last_updated":"2024-05-30T17:59:50Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T00:54:56.814837Z","submitted_at":"2024-05-30T17:59:50Z","title":"MotionLLM: Understanding Human Behaviors from Human Motions and Videos"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:2405.20340."}