{"as_of":"2026-08-21T09:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:63bfaceb842d99ba0561b8637179928e9b593e8bc5f9a7ca07f0727db2e61363","coverage":[{"denominator":26,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T11:03:12.086515Z","state":"measured"},{"denominator":34,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":34,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T00:59:56.798235Z","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":"2026-07-03T05:07:38.545525Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"cited_work":{"arxiv_id":"2510.07152","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2510.07152","snapshot_observed_at":"2026-08-04T02:39:35.287275Z","title":"Dpl: Depth-only perceptive humanoid locomotion via realistic depth synthesis and cross-attention terrain reconstruction","venue":null,"work_id":"957cdbca-3219-47d0-9113-ad78a78701ad","year":2025},"citing_paper":{"arxiv_id":"2602.06382","last_updated":"2026-05-10T02:31:22Z","snapshot_observed_at":"2026-08-21T00:43:39.898772Z","submitted_at":"2026-02-06T04:34:20Z","title":"Now You See That: Learning End-to-End Humanoid Locomotion from Raw Pixels","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-16T07:23:03.673259Z"},"links":{"cited_paper":"/paper/2510.07152","citing_paper":"/paper/2602.06382"},"observation_digest":"sha256:a0b680e223d883a886a4fc0139c00950f956853254a19addb03d8ab210840cf3","observation_id":"1b197dc8-9630-471b-9de7-d884e354eb21","resolution":{"observed_at":"2026-08-04T02:39:35.287275Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"cited_work":{"arxiv_id":"2510.07152","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2510.07152","snapshot_observed_at":"2026-08-04T02:39:35.287275Z","title":"Dpl: Depth-only perceptive humanoid locomotion via realistic depth synthesis and cross-attention terrain reconstruction","venue":null,"work_id":"957cdbca-3219-47d0-9113-ad78a78701ad","year":2025},"citing_paper":{"arxiv_id":"2602.15827","last_updated":"2026-05-06T20:45:29Z","snapshot_observed_at":"2026-07-06T22:46:12.384926Z","submitted_at":"2026-02-17T18:59:11Z","title":"Perceptive Humanoid Parkour: Chaining Dynamic Human Skills via Motion Matching","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-15T21:27:50.773345Z"},"links":{"cited_paper":"/paper/2510.07152","citing_paper":"/paper/2602.15827"},"observation_digest":"sha256:52b3b94c4edcca297014bc625922ea347401b9f9b77c409f968eeb81d98bf487","observation_id":"aba30e90-822a-4ab8-8724-66ebeca77409","resolution":{"observed_at":"2026-08-04T02:39:35.287275Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"cited_work":{"arxiv_id":"2510.07152","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2510.07152","snapshot_observed_at":"2026-08-04T02:39:35.287275Z","title":"Dpl: Depth-only perceptive humanoid locomotion via realistic depth synthesis and cross-attention terrain reconstruction","venue":null,"work_id":"957cdbca-3219-47d0-9113-ad78a78701ad","year":2025},"citing_paper":{"arxiv_id":"2605.30770","last_updated":"2026-05-29T02:54:15Z","snapshot_observed_at":"2026-08-04T01:42:42.115871Z","submitted_at":"2026-05-29T02:54:15Z","title":"SSR: Scaling Surefooted and Symmetric Humanoid Traversal to the Open World","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-28T22:36:01.564818Z"},"links":{"cited_paper":"/paper/2510.07152","citing_paper":"/paper/2605.30770"},"observation_digest":"sha256:70c4c6d1f4c42ce7ee2d613861796485017266b2330653872280b436eb2f6046","observation_id":"39b4fa17-40bf-4136-a80c-be27d4e0f093","resolution":{"observed_at":"2026-08-04T02:39:35.287275Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"cited_work":{"arxiv_id":"2510.07152","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2510.07152","snapshot_observed_at":"2026-08-04T02:39:35.287275Z","title":"Dpl: Depth-only perceptive humanoid locomotion via realistic depth synthesis and cross-attention terrain reconstruction","venue":null,"work_id":"957cdbca-3219-47d0-9113-ad78a78701ad","year":2025},"citing_paper":{"arxiv_id":"2606.00637","last_updated":"2026-08-10T00:51:25Z","snapshot_observed_at":"2026-08-15T17:22:19.299863Z","submitted_at":"2026-05-30T09:23:07Z","title":"Global-Local Attention Decomposition for Terrain Encoding in Humanoid Perceptive Locomotion","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-28T18:46:55.142681Z"},"links":{"cited_paper":"/paper/2510.07152","citing_paper":"/paper/2606.00637"},"observation_digest":"sha256:093f3c0adbc88c79462b001d2d48b60589866cbbd57c99aa0b810fe1a1717056","observation_id":"ba81bf06-9d22-4ee0-97e5-3a57c4266e0f","resolution":{"observed_at":"2026-08-04T02:39:35.287275Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"cited_work":{"arxiv_id":"2510.07152","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2510.07152","snapshot_observed_at":"2026-08-04T02:39:35.287275Z","title":"Dpl: Depth-only perceptive humanoid locomotion via realistic depth synthesis and cross-attention terrain reconstruction","venue":null,"work_id":"957cdbca-3219-47d0-9113-ad78a78701ad","year":2025},"citing_paper":{"arxiv_id":"2606.05880","last_updated":"2026-06-04T08:52:56Z","snapshot_observed_at":"2026-08-15T06:30:45.193891Z","submitted_at":"2026-06-04T08:52:56Z","title":"TAGA: Terrain-aware Active Gaze Learning for Generalizable Agile Humanoid Locomotion","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-28T01:19:16.753735Z"},"links":{"cited_paper":"/paper/2510.07152","citing_paper":"/paper/2606.05880"},"observation_digest":"sha256:143736d09a689817b8d0b915daae0e7f0200779ee5223ab645dcfa9449d40eb8","observation_id":"36ceadeb-4a6b-4519-a8bf-8f334d439420","resolution":{"observed_at":"2026-08-04T02:39:35.287275Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"cited_work":{"arxiv_id":"2510.07152","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2510.07152","snapshot_observed_at":"2026-08-04T02:39:35.287275Z","title":"Dpl: Depth-only perceptive humanoid locomotion via realistic depth synthesis and cross-attention terrain reconstruction","venue":null,"work_id":"957cdbca-3219-47d0-9113-ad78a78701ad","year":2025},"citing_paper":{"arxiv_id":"2606.09286","last_updated":"2026-06-08T09:52:55Z","snapshot_observed_at":"2026-08-12T09:20:25.758399Z","submitted_at":"2026-06-08T09:52:55Z","title":"VAIC: Vision-Guided Humanoid Agile Object Interaction Control via Decoupled Commands","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-06-27T16:38:21.947099Z"},"links":{"cited_paper":"/paper/2510.07152","citing_paper":"/paper/2606.09286"},"observation_digest":"sha256:299f2dddd9a5cbcc773baf07093fec4e2a912bf0a5ba5ce9426f5971dd7a40bb","observation_id":"133eb90c-2b82-4602-acca-d95ed2b51aad","resolution":{"observed_at":"2026-08-04T02:39:35.287275Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"cited_work":{"arxiv_id":"2510.07152","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2510.07152","snapshot_observed_at":"2026-08-04T02:39:35.287275Z","title":"Dpl: Depth-only perceptive humanoid locomotion via realistic depth synthesis and cross-attention terrain reconstruction","venue":null,"work_id":"957cdbca-3219-47d0-9113-ad78a78701ad","year":2025},"citing_paper":{"arxiv_id":"2606.10288","last_updated":"2026-06-09T01:21:26Z","snapshot_observed_at":"2026-08-14T02:13:50.086256Z","submitted_at":"2026-06-09T01:21:26Z","title":"MARCH: Model-Assisted Reinforcement Learning for the Perceptive Control of Humanoids over Sparse Footholds","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-27T13:28:36.443684Z"},"links":{"cited_paper":"/paper/2510.07152","citing_paper":"/paper/2606.10288"},"observation_digest":"sha256:40aa14793b6df977a6cb2a30a667d5d9c1b2aa2b73759d3ccd348bb6920703a9","observation_id":"b43fa27c-9b63-42d6-b895-4d3151576149","resolution":{"observed_at":"2026-08-04T02:39:35.287275Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2510.07152","snapshot_observed_at":"2026-08-05T00:59:56.798235Z","title":"Dpl: Depth-only perceptive humanoid lo- comotion via realistic depth synthesis and cross-attention terrain reconstruction,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.02653","last_updated":"2026-08-01T06:38:55Z","snapshot_observed_at":"2026-08-15T15:18:24.075396Z","submitted_at":"2026-08-01T06:38:55Z","title":"Light-Loco-Parkour: Versatile Perceptive Whole-Body Locomotion via Multi-Skill Distillation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T00:59:56.798235Z"},"links":{"cited_paper":"/paper/2510.07152","citing_paper":"/paper/2608.02653"},"observation_digest":"sha256:60ca5a321cc886249f6a05cd4c20fa9e2c130d8adaca914897ea81d978cedaef","observation_id":"c36aab81-59bd-4fe3-ade4-e51c187bf779","resolution":{"observed_at":"2026-08-05T00:59:56.798235Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2510.07152/citation-record","integrity":"/paper/2510.07152/integrity","json":"/paper/2510.07152/citation-record.json","paper":"/paper/2510.07152"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2309.05665","last_updated":"2023-09-12T03:01:55Z","snapshot_observed_at":"2026-08-16T15:01:38.241828Z","submitted_at":"2023-09-11T17:59:17Z","title":"Robot Parkour Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.05665","snapshot_observed_at":"2026-08-04T11:03:08.702539Z","title":"Robot parkour learning,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T11:03:08.702539Z"},"links":{"cited_paper":"/paper/2309.05665","citing_paper":"/paper/2510.07152"},"observation_digest":"sha256:48d3543a1c2d2c38a46e02d93db22f1ebe7eab9b0cafb3d71a603b56a0dcd21b","observation_id":"45e1818d-07fa-4078-9889-bb3ff77b2101","resolution":{"observed_at":"2026-08-04T11:03:08.702539Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.10759","last_updated":"2024-09-26T11:13:10Z","snapshot_observed_at":"2026-08-18T19:37:12.438052Z","submitted_at":"2024-06-15T23:21:10Z","title":"Humanoid Parkour Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.10759","snapshot_observed_at":"2026-08-04T11:03:08.789406Z","title":"Humanoid parkour learning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T11:03:08.789406Z"},"links":{"cited_paper":"/paper/2406.10759","citing_paper":"/paper/2510.07152"},"observation_digest":"sha256:0a15e8f1e6f181e8bad9e3adae5d91457837ac1f3519c4b70ee43c81970f5391","observation_id":"e2c302d4-e975-42c1-b342-9c32b64bf6d1","resolution":{"observed_at":"2026-08-04T11:03:08.789406Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.15692","last_updated":"2025-03-03T08:59:56Z","snapshot_observed_at":"2026-08-19T14:10:01.942078Z","submitted_at":"2024-09-24T03:11:02Z","title":"Walking with Terrain Reconstruction: Learning to Traverse Risky Sparse Footholds","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.15692","snapshot_observed_at":"2026-08-04T11:03:08.970672Z","title":"Walking with terrain reconstruction: Learning to traverse risky sparse footholds,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T11:03:08.970672Z"},"links":{"cited_paper":"/paper/2409.15692","citing_paper":"/paper/2510.07152"},"observation_digest":"sha256:1acddd55c0029793aa8f912fccef0d2d4d8e4f9fbb338ec19bdb4af84db0ad81","observation_id":"750b9ad7-8a3d-4ac5-9dd1-c379cc0694fb","resolution":{"observed_at":"2026-08-04T11:03:08.970672Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T11:03:09.105256Z","title":"Pie: Parkour with implicit-explicit learning framework for legged robots,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T11:03:09.105256Z"},"links":{"citing_paper":"/paper/2510.07152"},"observation_digest":"sha256:9fe8518534ee396b07fe9b542cdb55e1000251cc6d1f9356b4633dcdb930906b","observation_id":"7acb9633-b695-4d69-b2a6-09416380ff52","resolution":{"observed_at":"2026-08-04T11:03:09.105256Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.11164","last_updated":"2025-05-16T12:07:37Z","snapshot_observed_at":"2026-08-18T20:49:47.599499Z","submitted_at":"2025-05-16T12:07:37Z","title":"Parkour in the Wild: Learning a General and Extensible Agile Locomotion Policy Using Multi-expert Distillation and RL Fine-tuning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.11164","snapshot_observed_at":"2026-08-04T11:03:09.201754Z","title":"Parkour in the wild: Learn- ing a general and extensible agile locomotion policy using multi-expert distillation and rl fine-tuning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T11:03:09.201754Z"},"links":{"cited_paper":"/paper/2505.11164","citing_paper":"/paper/2510.07152"},"observation_digest":"sha256:0e87983fe0cad42e498f376ec9adf80822395a4e090b44b1ca8277fc7e31fb41","observation_id":"f9319583-d7fd-4216-b40e-48e121620e32","resolution":{"observed_at":"2026-08-04T11:03:09.201754Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T11:03:09.314621Z","title":"Learning vision-based bipedal locomotion for challenging terrain,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T11:03:09.314621Z"},"links":{"citing_paper":"/paper/2510.07152"},"observation_digest":"sha256:f4933a56ca76ff1d5605d8005f6c74f91867d8d2a0462a0f674017aa9221cf50","observation_id":"30f7bdca-31f8-40cc-aec0-00ed36db7b1b","resolution":{"observed_at":"2026-08-04T11:03:09.314621Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T11:03:09.485842Z","title":"Attention-based map encoding for learning generalized legged loco- motion,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T11:03:09.485842Z"},"links":{"citing_paper":"/paper/2510.07152"},"observation_digest":"sha256:ca9bed5f1cbfd86fd7f544a27ea638980486003ee9a6c8bf306bd644fbb6e718","observation_id":"a1dd4e64-68ac-416b-ac0f-8a7a5b03197e","resolution":{"observed_at":"2026-08-04T11:03:09.485842Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.03729","last_updated":"2025-08-29T05:22:52Z","snapshot_observed_at":"2026-08-20T12:31:51.120686Z","submitted_at":"2025-05-06T17:57:12Z","title":"Visual Imitation Enables Contextual Humanoid Control","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.03729","snapshot_observed_at":"2026-08-04T11:03:09.602028Z","title":"Visual imitation en- ables contextual humanoid control,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T11:03:09.602028Z"},"links":{"cited_paper":"/paper/2505.03729","citing_paper":"/paper/2510.07152"},"observation_digest":"sha256:5e894778632068339f1a60eca95d76b47a58ae0f1c10e588b23eefa2d28f0856","observation_id":"3e4a7f56-62af-4e0f-b593-503ef742488a","resolution":{"observed_at":"2026-08-04T11:03:09.602028Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.00692","last_updated":"2025-04-02T03:59:04Z","snapshot_observed_at":"2026-08-16T12:53:56.644326Z","submitted_at":"2025-03-02T02:08:06Z","title":"Learning Perceptive Humanoid Locomotion over Challenging Terrain","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.00692","snapshot_observed_at":"2026-08-04T11:03:09.723069Z","title":"Learning perceptive humanoid locomotion over challenging terrain,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T11:03:09.723069Z"},"links":{"cited_paper":"/paper/2503.00692","citing_paper":"/paper/2510.07152"},"observation_digest":"sha256:e41eb62939ca1aaa6d8b44075ff30cbdb1451c7e7e69b198c378e1541ee9a3a6","observation_id":"329c950a-a309-4bb6-883e-6725119e013c","resolution":{"observed_at":"2026-08-04T11:03:09.723069Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T11:03:09.833985Z","title":"Learning humanoid locomotion with perceptive internal model,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T11:03:09.833985Z"},"links":{"citing_paper":"/paper/2510.07152"},"observation_digest":"sha256:f0c2034af578633cc21256bfe518bccee06bfef6c47d46542ac1228e01a3b9f2","observation_id":"c521ed07-525d-4bbf-8bcb-4bc57dbbc8cb","resolution":{"observed_at":"2026-08-04T11:03:09.833985Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.10363","last_updated":"2025-04-27T13:49:42Z","snapshot_observed_at":"2026-08-17T04:46:22.999663Z","submitted_at":"2025-02-14T18:42:42Z","title":"BeamDojo: Learning Agile Humanoid Locomotion on Sparse Footholds","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.10363","snapshot_observed_at":"2026-08-04T11:03:09.984936Z","title":"Beamdojo: Learning agile humanoid locomotion on sparse footholds,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T11:03:09.984936Z"},"links":{"cited_paper":"/paper/2502.10363","citing_paper":"/paper/2510.07152"},"observation_digest":"sha256:8474deb57e36f3fdf2c277c69fdc10285ffdefc12099d04f73fca25607ef9e3a","observation_id":"d3d47bbe-c27f-45b9-b8a1-ec8d1973e904","resolution":{"observed_at":"2026-08-04T11:03:09.984936Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T11:03:10.144902Z","title":"Vision-guided quadrupedal locomotion in the wild with multi-modal delay randomization,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T11:03:10.144902Z"},"links":{"citing_paper":"/paper/2510.07152"},"observation_digest":"sha256:b254d559410115c9b44c83e9a1f4213b185609750dda66bd1dcce157dca59128","observation_id":"87a9e6f9-65d3-4e2c-b030-9f2e68854e54","resolution":{"observed_at":"2026-08-04T11:03:10.144902Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.03996","last_updated":"2022-05-26T04:39:01Z","snapshot_observed_at":"2026-08-20T10:49:37.757714Z","submitted_at":"2021-07-08T17:41:55Z","title":"Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.03996","snapshot_observed_at":"2026-08-04T11:03:10.266412Z","title":"Learning vision-guided quadrupedal locomotion end-to-end with cross-modal transformers,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T11:03:10.266412Z"},"links":{"cited_paper":"/paper/2107.03996","citing_paper":"/paper/2510.07152"},"observation_digest":"sha256:6419053bb4d2bfcf857fe20aa8f9df87b712cecc92dd265b60be859e207c7a1a","observation_id":"a177f7bf-6549-45b0-95e0-a475bdf6090f","resolution":{"observed_at":"2026-08-04T11:03:10.266412Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T11:03:10.446324Z","title":"Extreme parkour with legged robots,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T11:03:10.446324Z"},"links":{"citing_paper":"/paper/2510.07152"},"observation_digest":"sha256:9cf792dd7cfd8c5938c9a480cc45aa772f0552ea38bf2e9bc6cd8fca887f6b6d","observation_id":"6ebafe9d-f0dd-4993-8419-a4f2070f3a4b","resolution":{"observed_at":"2026-08-04T11:03:10.446324Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.08299","last_updated":"2025-03-11T11:10:33Z","snapshot_observed_at":"2026-08-16T12:51:10.153192Z","submitted_at":"2025-03-11T11:10:33Z","title":"Distillation-PPO: A Novel Two-Stage Reinforcement Learning Framework for Humanoid Robot Perceptive Locomotion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.08299","snapshot_observed_at":"2026-08-04T11:03:10.563965Z","title":"Distillation-ppo: A novel two-stage reinforcement learning framework for humanoid robot perceptive locomotion,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T11:03:10.563965Z"},"links":{"cited_paper":"/paper/2503.08299","citing_paper":"/paper/2510.07152"},"observation_digest":"sha256:89567a6a96a231f4cf31b0cd5b47f0e3b0c94dce93a52d9b7c5687d6d7fb7a74","observation_id":"522cdbdd-760a-46ad-b5e2-7003e268af78","resolution":{"observed_at":"2026-08-04T11:03:10.563965Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T11:03:10.678017Z","title":"Anymal parkour: Learning agile navigation for quadrupedal robots,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T11:03:10.678017Z"},"links":{"citing_paper":"/paper/2510.07152"},"observation_digest":"sha256:682d00c14fc2fbfc55b1a207fe15a584414be77b7e9f5eea8312006af78f0601","observation_id":"7c53a4c3-2f66-4714-9156-bf8f6ecf7b9d","resolution":{"observed_at":"2026-08-04T11:03:10.678017Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T11:03:10.848037Z","title":"Neural scene representation for locomotion on structured terrain,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T11:03:10.848037Z"},"links":{"citing_paper":"/paper/2510.07152"},"observation_digest":"sha256:65128a2e26347b3436657b8da60a62bfd8282671414d44fd8998ef56c91edef1","observation_id":"ccddef0d-df01-4b92-a894-7f4bc2a56677","resolution":{"observed_at":"2026-08-04T11:03:10.848037Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T11:03:10.969386Z","title":"Learning autonomous and safe quadruped traversal of complex terrains using multi-layer elevation maps,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T11:03:10.969386Z"},"links":{"citing_paper":"/paper/2510.07152"},"observation_digest":"sha256:f0e977af1d63d2f8cda7f844b562409620346b74669a4f6c66e510a8f41433a8","observation_id":"1d7ff9b3-0bb0-4d03-bf87-bb3457f8641b","resolution":{"observed_at":"2026-08-04T11:03:10.969386Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T11:03:11.135116Z","title":"Amp: Adversarial motion priors for stylized physics-based character con- trol,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T11:03:11.135116Z"},"links":{"citing_paper":"/paper/2510.07152"},"observation_digest":"sha256:81216bf6158366b03a0df98fb6cde5ae566888a25ac5a529c06513be194db049","observation_id":"4ced6b35-67af-40b0-86ec-1bf9698c651f","resolution":{"observed_at":"2026-08-04T11:03:11.135116Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.18294","last_updated":"2024-08-26T14:32:33Z","snapshot_observed_at":"2026-08-20T10:53:33.910598Z","submitted_at":"2024-02-28T12:38:49Z","title":"Whole-body Humanoid Robot Locomotion with Human Reference","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.18294","snapshot_observed_at":"2026-08-04T11:03:11.250326Z","title":"Whole-body humanoid robot locomotion with human reference,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T11:03:11.250326Z"},"links":{"cited_paper":"/paper/2402.18294","citing_paper":"/paper/2510.07152"},"observation_digest":"sha256:12dd2b3baf9c769fa9eabd66961e4abc44874eac4b590c095283dff2e788d874","observation_id":"01542688-ca58-4496-9a44-fa74d4c19426","resolution":{"observed_at":"2026-08-04T11:03:11.250326Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1707.06347","last_updated":"2017-08-28T09:20:06Z","snapshot_observed_at":"2026-08-20T07:04:06.309989Z","submitted_at":"2017-07-20T02:32:33Z","title":"Proximal Policy Optimization Algorithms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.06347","snapshot_observed_at":"2026-08-04T11:03:11.422429Z","title":"Proximal policy optimization algorithms,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T11:03:11.422429Z"},"links":{"cited_paper":"/paper/1707.06347","citing_paper":"/paper/2510.07152"},"observation_digest":"sha256:0f3b3d6af0d3c19068af4b4240f5241758045912b1acf590c53214eeba5ab502","observation_id":"7a89780c-c74a-4958-b89a-d7df0d3f5ada","resolution":{"observed_at":"2026-08-04T11:03:11.422429Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T11:03:11.561454Z","title":"Modeling kinect sensor noise for improved 3d reconstruction and tracking,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T11:03:11.561454Z"},"links":{"citing_paper":"/paper/2510.07152"},"observation_digest":"sha256:ce0164aa8e8f98e0278818f635d19e7282ac6c529133040f4b5a29c87178c14c","observation_id":"38086e23-da6e-4e78-95ed-44e3c4bf14da","resolution":{"observed_at":"2026-08-04T11:03:11.561454Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T11:03:11.711540Z","title":"Accuracy and resolution of kinect depth data for indoor mapping applications,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T11:03:11.711540Z"},"links":{"citing_paper":"/paper/2510.07152"},"observation_digest":"sha256:a1375c805702c64288b9c1e9fa98518cd50893021992376ffe13e4509c7153ad","observation_id":"dd7656f4-8f14-4cf5-8abb-2aa63ea14079","resolution":{"observed_at":"2026-08-04T11:03:11.711540Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T11:03:11.833088Z","title":"Characterizations of noise in kinect depth images: A review,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T11:03:11.833088Z"},"links":{"citing_paper":"/paper/2510.07152"},"observation_digest":"sha256:8a1883d5a4cde0492de0307fabc60b1c0e58277fecabd8904a896ade026de642","observation_id":"9de47eba-d232-4536-bf61-43ab9e20ad3d","resolution":{"observed_at":"2026-08-04T11:03:11.833088Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.10470","last_updated":"2021-08-25T23:42:59Z","snapshot_observed_at":"2026-07-06T11:40:56.544714Z","submitted_at":"2021-08-24T01:38:11Z","title":"Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.10470","snapshot_observed_at":"2026-08-04T11:03:11.981504Z","title":"Isaac gym: High performance gpu-based physics simulation for robot learning,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-04T11:03:11.981504Z"},"links":{"cited_paper":"/paper/2108.10470","citing_paper":"/paper/2510.07152"},"observation_digest":"sha256:b8e64693e0b15daa7e4aec0cee00dae236f528c023e92f7ed5595cf0c3914e7c","observation_id":"d0b693dc-6839-4cd3-b0f5-3d18ca798a65","resolution":{"observed_at":"2026-08-04T11:03:11.981504Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T11:03:12.086515Z","title":"Elevation mapping for locomotion and navigation using gpu,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T11:03:12.086515Z"},"links":{"citing_paper":"/paper/2510.07152"},"observation_digest":"sha256:dcca1fa10f0137fa7cac363ac7e9da222761c8926f073d97d7cce52255eff31a","observation_id":"c3dd0ce1-8665-4a91-a307-6e9591c50bc5","resolution":{"observed_at":"2026-08-04T11:03:12.086515Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2510.07152","last_updated":"2026-08-03T09:26:59Z","latest_version":3,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-16T15:34:55.764811Z","submitted_at":"2025-10-08T15:51:36Z","title":"DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction"},"reference_resolution":{"displayed":26,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":26,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":26},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 8 inbound Pith citation observations for arXiv:2510.07152."}