{"as_of":"2026-08-13T12:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:563fcfc60a97d8121f83d39127c74d2fd46bb144de90784f2c0d4dc052ec1333","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T13:02:31.853147Z","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":"2026-06-30T08:14:25.925800Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.15904","last_updated":"2024-09-30T10:39:38Z","snapshot_observed_at":"2026-08-12T22:38:50.106376Z","submitted_at":"2024-09-24T09:20:06Z","title":"Unimotion: Unifying 3D Human Motion Synthesis and Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.15904","snapshot_observed_at":"2026-08-12T13:02:31.853147Z","title":"Unimotion: Unify- ing 3d human motion synthesis and understanding","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16575","last_updated":"2025-07-08T20:15:01Z","snapshot_observed_at":"2026-08-12T19:47:09.580070Z","submitted_at":"2024-11-25T16:59:42Z","title":"Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-12T13:02:31.853147Z"},"links":{"cited_paper":"/paper/2409.15904","citing_paper":"/paper/2411.16575"},"observation_digest":"sha256:25fb5b6934d384de7ed1c23367e4a1673dc1584e39de4675b7b53c4b25698a1b","observation_id":"1fe01da6-8023-4a15-8048-bc839497ad4b","resolution":{"observed_at":"2026-08-12T13:02:31.853147Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.15904","last_updated":"2024-09-30T10:39:38Z","snapshot_observed_at":"2026-08-12T22:38:50.106376Z","submitted_at":"2024-09-24T09:20:06Z","title":"Unimotion: Unifying 3D Human Motion Synthesis and Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.15904","snapshot_observed_at":"2026-08-11T11:16:28.193156Z","title":"arXiv preprint arXiv:2409.15904 (2024) 2, 4","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.15664","last_updated":"2024-12-20T08:25:15Z","snapshot_observed_at":"2026-08-13T06:45:15.946962Z","submitted_at":"2024-12-20T08:25:15Z","title":"SCENIC: Scene-aware Semantic Navigation with Instruction-guided Control","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T11:16:28.193156Z"},"links":{"cited_paper":"/paper/2409.15904","citing_paper":"/paper/2412.15664"},"observation_digest":"sha256:4916fc437b4167cfeefbea1e04ff0a32e273fd65f04daab8b2a1cb926738b295","observation_id":"f410eec1-cdb8-4ebc-9f09-988d61e4a030","resolution":{"observed_at":"2026-08-11T11:16:28.193156Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.15904","last_updated":"2024-09-30T10:39:38Z","snapshot_observed_at":"2026-08-12T22:38:50.106376Z","submitted_at":"2024-09-24T09:20:06Z","title":"Unimotion: Unifying 3D Human Motion Synthesis and Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.15904","snapshot_observed_at":"2026-08-09T13:32:01.210814Z","title":"Unimotion: Unifying 3d human motion synthesis and understanding","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.02063","last_updated":"2025-02-04T07:22:07Z","snapshot_observed_at":"2026-08-09T13:26:47.411612Z","submitted_at":"2025-02-04T07:22:07Z","title":"CASIM: Composite Aware Semantic Injection for Text to Motion Generation","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-09T13:32:01.210814Z"},"links":{"cited_paper":"/paper/2409.15904","citing_paper":"/paper/2502.02063"},"observation_digest":"sha256:40213bbbcea040d21c60b4ce21860f74c0ff4ac855023c03e24912b0dc94ee93","observation_id":"5c21c4bc-bf4d-4695-ac57-17a00a3a43fd","resolution":{"observed_at":"2026-08-09T13:32:01.210814Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.15904","last_updated":"2024-09-30T10:39:38Z","snapshot_observed_at":"2026-08-12T22:38:50.106376Z","submitted_at":"2024-09-24T09:20:06Z","title":"Unimotion: Unifying 3D Human Motion Synthesis and Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.15904","snapshot_observed_at":"2026-08-09T12:31:22.631985Z","title":"Unimotion: Unify- ing 3d human motion synthesis and understanding","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.02358","last_updated":"2025-07-22T13:47:07Z","snapshot_observed_at":"2026-08-12T00:25:29.571475Z","submitted_at":"2025-02-04T14:43:26Z","title":"MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm","version":5},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-09T12:31:22.631985Z"},"links":{"cited_paper":"/paper/2409.15904","citing_paper":"/paper/2502.02358"},"observation_digest":"sha256:67442b754d81ca53561eacc7cfa3b92e3dc3d8d560f1515400ce5f030796ac0f","observation_id":"1629a825-5459-4744-8b4e-0f9931b6dad3","resolution":{"observed_at":"2026-08-09T12:31:22.631985Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.15904","last_updated":"2024-09-30T10:39:38Z","snapshot_observed_at":"2026-08-12T22:38:50.106376Z","submitted_at":"2024-09-24T09:20:06Z","title":"Unimotion: Unifying 3D Human Motion Synthesis and Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.15904","snapshot_observed_at":"2026-08-03T16:24:07.113970Z","title":"Unimotion: Unifying 3d human motion synthesis and understanding.arXiv preprint arXiv:2409.15904, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.13840","last_updated":"2026-07-13T14:30:21Z","snapshot_observed_at":"2026-08-08T16:03:16.377859Z","submitted_at":"2025-12-15T19:22:40Z","title":"MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-03T16:24:07.113970Z"},"links":{"cited_paper":"/paper/2409.15904","citing_paper":"/paper/2512.13840"},"observation_digest":"sha256:c1a8fb4ad8f6c9d69401e3357aa92d0704b46c2dbcd554d985591f8d19cc88e4","observation_id":"95b75009-b807-4610-b64f-2ec81da94412","resolution":{"observed_at":"2026-08-03T16:24:07.113970Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.15904","last_updated":"2024-09-30T10:39:38Z","snapshot_observed_at":"2026-08-12T22:38:50.106376Z","submitted_at":"2024-09-24T09:20:06Z","title":"Unimotion: Unifying 3D Human Motion Synthesis and Understanding","version":2},"cited_work":{"arxiv_id":"2409.15904","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.15904","snapshot_observed_at":"2026-06-30T08:14:25.925800Z","title":"arXiv preprint arXiv:2409.15904 , year=","venue":null,"work_id":"67f9439e-07a3-4f25-8c8c-81238e0f5d5c","year":null},"citing_paper":{"arxiv_id":"2606.29148","last_updated":"2026-06-28T02:05:11Z","snapshot_observed_at":"2026-07-07T00:03:07.870153Z","submitted_at":"2026-06-28T02:05:11Z","title":"GPC: Large-Scale Generative Pretraining for Transferable Motor Control","version":1},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-06-30T08:04:26.007026Z"},"links":{"cited_paper":"/paper/2409.15904","citing_paper":"/paper/2606.29148"},"observation_digest":"sha256:47cba009ec51a9a1f36a267ba4b21f5e8606c4e6550c071d85e64f8a56f0bcb4","observation_id":"705b3c03-1af4-438f-b42a-d5f07ab2ac1b","resolution":{"observed_at":"2026-06-30T08:14:25.927481Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.15904","last_updated":"2024-09-30T10:39:38Z","snapshot_observed_at":"2026-08-12T22:38:50.106376Z","submitted_at":"2024-09-24T09:20:06Z","title":"Unimotion: Unifying 3D Human Motion Synthesis and Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.15904","snapshot_observed_at":"2026-08-03T12:14:47.724416Z","title":"arXiv preprint arXiv:2409.15904 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.29180","last_updated":"2026-07-31T09:01:25Z","snapshot_observed_at":"2026-08-07T10:50:51.981505Z","submitted_at":"2026-07-31T09:01:25Z","title":"MoRAE: Flow-Friendly Self-Supervised Latents for Text-to-Motion Generation","version":1},"reference_index":107,"source":"arxiv_source","source_observed_at":"2026-08-03T12:14:47.724416Z"},"links":{"cited_paper":"/paper/2409.15904","citing_paper":"/paper/2607.29180"},"observation_digest":"sha256:5724aaab0718bde6655169463e7efada2ae4975322f6440a7685fa59b3916e46","observation_id":"c36b6e61-f0ef-494c-8143-fbb35c9bbfc6","resolution":{"observed_at":"2026-08-03T12:14:47.724416Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2409.15904/citation-record","integrity":"/paper/2409.15904/integrity","json":"/paper/2409.15904/citation-record.json","paper":"/paper/2409.15904"},"outbound":[],"paper":{"arxiv_id":"2409.15904","last_updated":"2024-09-30T10:39:38Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T22:38:50.106376Z","submitted_at":"2024-09-24T09:20:06Z","title":"Unimotion: Unifying 3D Human Motion Synthesis and Understanding"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2409.15904."}