{"as_of":"2026-08-16T07:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:78863ed09f9fc708a8fb74f2e8b2cd70e3b1d1f36060bb9dcea13e00e063d8cf","coverage":[{"denominator":58,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":58,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T17:30:47.443824Z","state":"measured"},{"denominator":61,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":61,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-03T12:40:11.283716Z","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":"2026-07-03T12:48:11.092966Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"cited_work":{"arxiv_id":"2508.12252","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.12252","snapshot_observed_at":"2026-07-03T12:48:11.092966Z","title":"arXiv preprint arXiv:2508.12252 , year=","venue":null,"work_id":"5c2bd5a9-0382-4951-9444-3639efa57cc3","year":2025},"citing_paper":{"arxiv_id":"2606.02280","last_updated":"2026-06-01T14:05:23Z","snapshot_observed_at":"2026-07-06T23:42:44.661608Z","submitted_at":"2026-06-01T14:05:23Z","title":"Dynamics Are Learned, Not Told: Semi-Supervised Discovery of Latent Dynamics Geometries For Zero-Shot Policy Adaptation","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-06-28T14:37:01.237169Z"},"links":{"cited_paper":"/paper/2508.12252","citing_paper":"/paper/2606.02280"},"observation_digest":"sha256:b11fff3469da26a23b6659e52d10889c5bdfd22b7910845771d0b0e7d1b2c242","observation_id":"ea9dacbd-33d9-400b-a4dd-ea8d845c60b7","resolution":{"observed_at":"2026-07-01T23:06:21.288640Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"cited_work":{"arxiv_id":"2508.12252","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.12252","snapshot_observed_at":"2026-07-03T12:48:11.092966Z","title":"arXiv preprint arXiv:2508.12252 , year=","venue":null,"work_id":"5c2bd5a9-0382-4951-9444-3639efa57cc3","year":2025},"citing_paper":{"arxiv_id":"2606.28476","last_updated":"2026-06-26T16:05:10Z","snapshot_observed_at":"2026-08-15T07:37:40.322103Z","submitted_at":"2026-06-26T16:05:10Z","title":"FADA: Few-Shot Domain Adaptation via Dynamics Alignment for Humanoid Control","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-06-30T01:28:29.441778Z"},"links":{"cited_paper":"/paper/2508.12252","citing_paper":"/paper/2606.28476"},"observation_digest":"sha256:0fb525a5f96b169186aa9a10d77bcbd1a8e9278639d362821dff687990eb8eb6","observation_id":"d1a1e7ef-d564-4433-a598-c3b7b16ba780","resolution":{"observed_at":"2026-07-01T15:25:48.479963Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"cited_work":{"arxiv_id":"2508.12252","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.12252","snapshot_observed_at":"2026-07-03T12:48:11.092966Z","title":"arXiv preprint arXiv:2508.12252 , year=","venue":null,"work_id":"5c2bd5a9-0382-4951-9444-3639efa57cc3","year":2025},"citing_paper":{"arxiv_id":"2607.01651","last_updated":"2026-07-02T03:23:40Z","snapshot_observed_at":"2026-08-07T11:38:29.084253Z","submitted_at":"2026-07-02T03:23:40Z","title":"One Demonstration Is Enough for Real-World Robotic Reinforcement Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-03T12:40:11.283716Z"},"links":{"cited_paper":"/paper/2508.12252","citing_paper":"/paper/2607.01651"},"observation_digest":"sha256:522d1999b85fbc9778e6843daeb16e4e8e877851febc82d940073d6df4346d9f","observation_id":"d5dff37c-69d6-4fb0-bded-f9c65388aa07","resolution":{"observed_at":"2026-07-03T12:48:11.094715Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2508.12252/citation-record","integrity":"/paper/2508.12252/integrity","json":"/paper/2508.12252/citation-record.json","paper":"/paper/2508.12252"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.510981Z","title":null,"venue":null,"work_id":"494c036d-56ac-4551-9a8d-e9822046a087","year":2025},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.238609Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:49562d13b500a3136ee27e0b197723a8e27ad2b94078b244844ff9b60771c00c","observation_id":"d37e4d1d-4dba-42c5-95e7-7f7825a7d8d7","resolution":{"observed_at":"2026-08-15T17:30:48.514637Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.501368Z","title":null,"venue":null,"work_id":"f8d983a9-5197-47a8-acc3-3ae862e078fe","year":2025},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.242784Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:5b5f3225a6cf8d3e5a08da2c18d9936fad2e37423faf64d3e7519b0cbeecb9ad","observation_id":"f41eb466-3514-4d85-8663-48e083fba3fc","resolution":{"observed_at":"2026-08-15T17:30:48.504633Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:47.246922Z","title":"Radosavovic, T","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.246922Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:4e4a77afe5b3e09165a3f366700e772e2aac1cc313eab1f57c8300c30d9cc69a","observation_id":"968334f4-9e7c-498c-a6dd-cb1679b83093","resolution":{"observed_at":"2026-08-15T17:30:47.246922Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.492115Z","title":"Radosavovic, S","venue":null,"work_id":"dfeb5166-2750-465f-8cde-f9b30bc8680f","year":2024},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.250920Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:357856e81de0f7c3fe48d573550adcfbdefc303b10ff53cb20532805a21ebfac","observation_id":"b5a0e30d-2e2b-4382-b56c-bc80d1f746e9","resolution":{"observed_at":"2026-08-15T17:30:48.495368Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.482143Z","title":"Zhuang, S","venue":null,"work_id":"f6dc21f9-f318-401a-9f15-f6d085d6f4a1","year":2024},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.254384Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:29f83207b3e488b4cf8e797277892c962a45053e499f87a91e2ed47839b36594","observation_id":"f9939da6-5c34-4410-98d7-b0dfbd6d781f","resolution":{"observed_at":"2026-08-15T17:30:48.485495Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:47.258035Z","title":"Tobin, R","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.258035Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:aac8ca90633c15226111b7c8de75209a542ac758488d64bdd2309dcbb4ad2b2e","observation_id":"c5324bb9-50b3-499e-bf79-31b215d2b273","resolution":{"observed_at":"2026-08-15T17:30:47.258035Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1709.07871","last_updated":"2017-12-18T21:25:53Z","snapshot_observed_at":"2026-08-14T21:55:45.403341Z","submitted_at":"2017-09-22T17:54:12Z","title":"FiLM: Visual Reasoning with a General Conditioning Layer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1709.07871","snapshot_observed_at":"2026-08-15T17:30:47.261747Z","title":"Perez, F","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.261747Z"},"links":{"cited_paper":"/paper/1709.07871","citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:61c9f17b9564ffa0a750b7fa2f3be1483e72da9479fc841370ceaefcf220f7ff","observation_id":"83c56bdb-f31f-4c6e-830d-8f7d13086e37","resolution":{"observed_at":"2026-08-15T17:30:47.261747Z","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":"2026-08-15T20:26:32.102285Z","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":"2026-08-15T17:30:47.265375Z","title":"Schulman, F","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.265375Z"},"links":{"cited_paper":"/paper/1707.06347","citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:cbe89e984017ac8e0e4024d2519ec1f63e1b179919bc7e01edd44f9ea82acbb6","observation_id":"1e0c12f6-a0f2-4a30-959a-e2be77825452","resolution":{"observed_at":"2026-08-15T17:30:47.265375Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.472404Z","title":null,"venue":null,"work_id":"8bc96c9a-2733-4c98-9b18-dce07c546fa6","year":2025},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.268569Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:e0a8d8b6506c9851b639843192414d8c5b9b057f2c7aa189ef2dd982cb966010","observation_id":"3c9840ed-ebd8-4794-809d-75667a2a2342","resolution":{"observed_at":"2026-08-15T17:30:48.475851Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.462593Z","title":"Industrial robotic arm market size, share, growth trends, regional share, competitive intelligence, forecast report 2025–2037, March 2025","venue":null,"work_id":"e0e09155-a227-4ab7-8e9f-11ab0732405d","year":2025},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.271862Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:68c33cb728949783af631b0b33882ec42f5f0046547df4d9afd6b0745c7e7f76","observation_id":"ea45d224-4cf6-45b7-bb85-64ad43ea7a7d","resolution":{"observed_at":"2026-08-15T17:30:48.466195Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:47.275933Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.275933Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:a35fd36919edbbc470d316684cd957b343488ea70907758e8042bcbf9d7af4f1","observation_id":"239d04ba-3511-4340-9346-18f28822b316","resolution":{"observed_at":"2026-08-15T17:30:47.275933Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.452397Z","title":null,"venue":null,"work_id":"17ccb1d1-44b8-48a2-9381-6f1ef6b12621","year":2024},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.279354Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:1ec98779ea035d9fc5cb531bb85812ccaaf2bd0c5980f9a739f0518996c6c334","observation_id":"40e18464-1ba9-4096-b405-e9a456367d0e","resolution":{"observed_at":"2026-08-15T17:30:48.455860Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.442797Z","title":null,"venue":null,"work_id":"7110abb9-4b54-4e94-ac85-cafbfa931bbb","year":2024},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.282369Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:927944644bd7e7a6dc107da4ed689250745013f4822133a48b47f5c54dc4c1b9","observation_id":"35570d82-456e-49db-80cc-85dcdd010055","resolution":{"observed_at":"2026-08-15T17:30:48.446096Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.432682Z","title":"Rudin, D","venue":null,"work_id":"ec62aff0-4ad5-45bc-b3f5-f53758ff5aaa","year":2022},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.285541Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:590958d933dc8d0d4c356c85094687baafc4b9c69b3ff01639d6dd11959463cc","observation_id":"5ad0fd6f-d9a5-47a8-93ad-f99f45ef128c","resolution":{"observed_at":"2026-08-15T17:30:48.436445Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.422469Z","title":"Cheng, K","venue":null,"work_id":"8beba11d-be38-4da4-a3cc-6ff97cb9bb54","year":2024},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.288867Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:622db3324c138977a999211fb69ad0bfef862240f58d1bb6e111fc468002c60f","observation_id":"b5f78d16-e46f-4749-83da-e5a3919d9d08","resolution":{"observed_at":"2026-08-15T17:30:48.425997Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.412540Z","title":null,"venue":null,"work_id":"9190c6db-60f4-4926-9c56-489a66a7f554","year":2018},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.295225Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:17605e7ecf24eff79644e773cadeca6aa00d1f158f67dc07366979ea68738d4f","observation_id":"c6f08d01-01e6-473d-8f28-4c72fbe77855","resolution":{"observed_at":"2026-08-15T17:30:48.415947Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.402042Z","title":null,"venue":null,"work_id":"9482596e-42b3-443b-9080-19c12d84234e","year":2023},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.298623Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:b361f6202831b0d4ee55ea2459553dd20044ee1dc7a96463864c6c19d06ffc22","observation_id":"9c331c7e-e278-4c79-ae1b-02bcee479537","resolution":{"observed_at":"2026-08-15T17:30:48.405847Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.391841Z","title":"Akkaya, M","venue":null,"work_id":"c73f6485-bac4-4806-b5b0-a0774e4ad022","year":2019},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.301961Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:658738539c4d56ed0f95eda0bb59eb8054c9ae5818fd190563284b952141ba08","observation_id":"3fbec8d8-bf90-4bf7-a7a2-bb8316c618bb","resolution":{"observed_at":"2026-08-15T17:30:48.395164Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.381612Z","title":null,"venue":null,"work_id":"18ccfdfa-8463-4284-a11d-ad0c9c5c42a5","year":null},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.305225Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:a7d5a2d21110f3e418dcf69fb5bfa4622468882cdfd552b6b852c82ec56ff150","observation_id":"f3640d43-d959-40a4-bd69-85da64deaf76","resolution":{"observed_at":"2026-08-15T17:30:48.384823Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.371759Z","title":null,"venue":null,"work_id":"4534914e-e56e-4959-a924-eb7660327322","year":2023},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.312269Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:dccf5e59fecc3890f3178301aba46f69992418f0b827e2fab8831d7d6fa24e47","observation_id":"362b0df5-864b-49d6-929f-f2860f573c0a","resolution":{"observed_at":"2026-08-15T17:30:48.375052Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.362073Z","title":null,"venue":null,"work_id":"e565543f-9da3-492b-aa89-44afdae723ce","year":2024},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.315617Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:9e1417548b3145672818c6d4a7e35ffde773fbeffd9ad6d4dd0e9549a906c44d","observation_id":"005b2106-4642-4f28-917e-27e4bf15fb12","resolution":{"observed_at":"2026-08-15T17:30:48.365376Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.351854Z","title":null,"venue":null,"work_id":"b80f2770-dce9-487e-b41a-d562cb65bb85","year":2025},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.318996Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:95166758f75e2938b7fa2ea0ad3f6b43fad2201f05617ff7685b6f26b594f773","observation_id":"3d15ee66-7e34-41ef-8bd6-c59f2774d61a","resolution":{"observed_at":"2026-08-15T17:30:48.355605Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.342206Z","title":null,"venue":null,"work_id":"e01c2f0c-0c65-4bf0-ac7a-60aa36b0a563","year":2024},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.322394Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:822b5f051266a87979e6b5baeea04d2a6431d2533d0c33aab39c2dafc8b20699","observation_id":"6c90e035-a773-44ff-bc52-23bcde027bf7","resolution":{"observed_at":"2026-08-15T17:30:48.345347Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.15607/rss.2024.xx.058","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:47.482992Z","title":"Gu, Y .-J","venue":null,"work_id":"e3a36883-ba86-4682-b8c2-4d79b916707d","year":2024},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.325760Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:9efe7405530332ff1479116792d23daf564544e28ad6a7848e2f54e662618c68","observation_id":"71aab0ef-ca1a-4c6c-b2c8-216f244ef453","resolution":{"observed_at":"2026-08-15T17:30:47.486718Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1126/sciro","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:47.470693Z","title":"Haarnoja, B","venue":null,"work_id":"7d3ee166-2601-4072-b7d9-0f4a521d2f48","year":2024},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.329298Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:865346a9a6cbcfc6585c6200440c472e107dc227f38d7a59b3c012ccd4b8609e","observation_id":"75044096-4563-4aec-8718-ebc873d26e13","resolution":{"observed_at":"2026-08-15T17:30:47.475757Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:47.332964Z","title":"Chebotar, A","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.332964Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:1e50f71261fb5ee727c8f75d7843f17e126d4b84d44ce99d992127c0f191f1eb","observation_id":"7effc648-d84c-4594-94aa-cad0434d7e01","resolution":{"observed_at":"2026-08-15T17:30:47.332964Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.326634Z","title":null,"venue":null,"work_id":"4a3e56e5-2c5c-4a12-9327-6010bbc14a73","year":2023},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.340494Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:af3259505b46d87c0c5b2adaba67423d988a7c656c5968fa0f3bd1bb1767ea9b","observation_id":"4594d7a6-2660-4202-8a24-36a184897cc3","resolution":{"observed_at":"2026-08-15T17:30:48.329914Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.317293Z","title":"Huang, X","venue":null,"work_id":"903d8581-9046-4510-840b-7618ee1d8df8","year":2023},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.343765Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:3975a81b2d27f893f74b3863b0dd1680a02a5a040c12b01251b91029e1d7d0b7","observation_id":"2c988812-ad24-46eb-a598-4e21d3ba1634","resolution":{"observed_at":"2026-08-15T17:30:48.320569Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2020.93408","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:47.856607Z","title":"Schoettler, A","venue":null,"work_id":"41953293-665b-43d4-aa9f-9b6057d935e3","year":2020},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.347182Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:dd23676599078829e348183936d7f7bccbaa0662a447605e607f3a90cf2d1478","observation_id":"76a9b329-a1b5-4a6a-921c-86b6c23e5ef7","resolution":{"observed_at":"2026-08-15T17:30:47.861898Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.307855Z","title":"Kumar, Z","venue":null,"work_id":"bac396f5-4085-4afe-95d5-6d8cf77dc594","year":2021},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.350785Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:f3c5dbbb260e924830cd550369e9e78f85958c879afa5217e1252ca27118732b","observation_id":"b706cc61-59a9-4e04-8bbb-782f2aa96d53","resolution":{"observed_at":"2026-08-15T17:30:48.311130Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.298494Z","title":null,"venue":null,"work_id":"8845c264-db1d-4c48-b218-a49ae002b687","year":2022},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.354172Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:7c2377113d77d5aafee3860cb5e978af55877bde2e2d8c8b9b57f35aeac5daec","observation_id":"873c65de-f2f3-4303-9c32-f320f8768a07","resolution":{"observed_at":"2026-08-15T17:30:48.301902Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:47.357450Z","title":"Kumar, Z","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.357450Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:c1117371e3044161951d8b68673d3032c8ee5a243977e9b771a0961013f42327","observation_id":"a12e9ed7-7076-4192-bdfc-1cadc6ae3705","resolution":{"observed_at":"2026-08-15T17:30:47.357450Z","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":"2026-08-15T17:30:47.361177Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.361177Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:c3fb96d1edb3340dff5df69a4c9b30c32df66465d479f0cd94d4d3604b68cc57","observation_id":"8cc4ef6e-2177-47f1-a950-e0c6c7822e64","resolution":{"observed_at":"2026-08-15T17:30:47.361177Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.289007Z","title":"Zhang, L","venue":null,"work_id":"08089f3c-c54e-4a60-ba94-4657f24db287","year":2023},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.364767Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:0bf446f5f0db9a6a9a6f878ddd5e633cf481a731a1c48e48afdfaa69f6ae732d","observation_id":"9ccaed51-65be-4678-a6c4-26680fa46111","resolution":{"observed_at":"2026-08-15T17:30:48.292248Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.279355Z","title":null,"venue":null,"work_id":"1522657c-9895-4848-9cfa-b3e98585d79e","year":2023},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.368283Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:d50f24dcb842a7c986b0357d8d10a2e15aab6097768ab7d81693d31c37d6ecc2","observation_id":"2f915a04-24f3-4785-9a51-c8c520b94092","resolution":{"observed_at":"2026-08-15T17:30:48.282832Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.269662Z","title":"Xiong, R","venue":null,"work_id":"25ff24b6-6922-4e5d-abd2-7993fa67b5c2","year":2024},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.371895Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:dcae35142f67ef9d6e6199cadc00b2a988cc70c2ae186c0507c0b94141ca82f1","observation_id":"12025c06-e099-4625-a20e-9b147c563d68","resolution":{"observed_at":"2026-08-15T17:30:48.273004Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.259558Z","title":"Jiang, C","venue":null,"work_id":"37576dc0-33d2-4e4c-9be6-6220f56090f8","year":2024},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.375113Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:46e2828f0cbbeb9f68cb76ffdbec08146c82e7b878f737858eaf9584688573ad","observation_id":"e8e5dce2-2f4a-498b-8fe0-1cc134e84f1a","resolution":{"observed_at":"2026-08-15T17:30:48.263242Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.248958Z","title":null,"venue":null,"work_id":"5f7e00e1-8768-4175-ad40-306987ba1176","year":2025},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.378516Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:3e64358aa9131f73f98d1cf9351513bfa6138fa4b919dc07e7e987c95d2e62d3","observation_id":"6a661b1a-84bc-4ede-b854-34eda987ecc4","resolution":{"observed_at":"2026-08-15T17:30:48.252509Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1802.07245","last_updated":"2018-02-20T18:40:57Z","snapshot_observed_at":"2026-08-14T19:44:03.547523Z","submitted_at":"2018-02-20T18:40:57Z","title":"Meta-Reinforcement Learning of Structured Exploration Strategies","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.07245","snapshot_observed_at":"2026-08-15T17:30:47.381761Z","title":"Gupta, R","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.381761Z"},"links":{"cited_paper":"/paper/1802.07245","citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:fed7e9855d833e46533a43bb374f88747dfc5e02738ebf296218ffca32fc93d2","observation_id":"b0f8de91-dd9a-4916-8aa5-9e57315a01c2","resolution":{"observed_at":"2026-08-15T17:30:47.381761Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1903.08254","last_updated":"2019-03-19T20:51:04Z","snapshot_observed_at":"2026-08-16T02:21:39.614277Z","submitted_at":"2019-03-19T20:51:04Z","title":"Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.08254","snapshot_observed_at":"2026-08-15T17:30:47.386032Z","title":"Rakelly, A","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.386032Z"},"links":{"cited_paper":"/paper/1903.08254","citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:56cf0a7db456ba51481cb0ca8a0d6b0208f18190a7e6363db9b8baf560b1235a","observation_id":"e6582a89-3d1e-4e84-a0fa-295e8966074a","resolution":{"observed_at":"2026-08-15T17:30:47.386032Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.12995","last_updated":"2020-02-16T03:26:57Z","snapshot_observed_at":"2026-07-06T08:25:22.422928Z","submitted_at":"2019-09-28T00:57:58Z","title":"Learning Fast Adaptation with Meta Strategy Optimization","version":2},"cited_work":{"arxiv_id":"1909.12995","doi":null,"metadata_source":"pith","pith_arxiv_id":"1909.12995","snapshot_observed_at":"2026-08-15T17:30:47.675194Z","title":"Learning Fast Adaptation with Meta Strategy Optimization","venue":"cs.RO","work_id":"22021655-f1ac-4f48-8fea-b002c3807dfd","year":2019},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.390195Z"},"links":{"cited_paper":"/paper/1909.12995","citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:c4a15d42db78f43ceedbd59d2d079a09ad1b9ad48a2deded78acc94384356227","observation_id":"e22770a7-cd73-483e-84f4-8e9d1d459e4c","resolution":{"observed_at":"2026-08-15T17:30:47.678993Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.00784","last_updated":"2020-07-21T00:59:24Z","snapshot_observed_at":"2026-08-10T20:40:29.635669Z","submitted_at":"2020-04-02T02:56:16Z","title":"Learning Agile Robotic Locomotion Skills by Imitating Animals","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.00784","snapshot_observed_at":"2026-08-15T17:30:47.393858Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.393858Z"},"links":{"cited_paper":"/paper/2004.00784","citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:7a3c16a22343e67daf934f63714032ba91f00e335d089a84ffcd2ff45da5d1b6","observation_id":"4d432c3d-ef69-4828-bbb6-7b0732dcdc0f","resolution":{"observed_at":"2026-08-15T17:30:47.393858Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1903.01390","last_updated":"2019-08-25T21:21:05Z","snapshot_observed_at":"2026-08-14T17:07:40.451194Z","submitted_at":"2019-03-04T17:37:43Z","title":"Sim-to-Real Transfer for Biped Locomotion","version":2},"cited_work":{"arxiv_id":"1903.01390","doi":null,"metadata_source":"pith","pith_arxiv_id":"1903.01390","snapshot_observed_at":"2026-08-15T17:30:47.650850Z","title":"Sim-to-Real Transfer for Biped Locomotion","venue":"cs.RO","work_id":"75e1a499-54f9-499f-8524-cfcefb829610","year":2019},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.397602Z"},"links":{"cited_paper":"/paper/1903.01390","citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:d420081be5663645200d1d2a930176b77a4263840ae9e8f9c613c572fa6f6c9e","observation_id":"ebd9c970-5feb-4211-a91c-8b71ed150709","resolution":{"observed_at":"2026-08-15T17:30:47.655543Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.239251Z","title":"Huang, Z","venue":null,"work_id":"8ed26cd5-7776-44d7-88d6-1034b1b0ea91","year":2024},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.401207Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:bd9858dcd3d7ddc6cda83d379614b6ccbe7dacf2071beae7718368bff5dabe2a","observation_id":"010b27c3-4c1a-47dc-8d4b-5812403aae1b","resolution":{"observed_at":"2026-08-15T17:30:48.242605Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:47.404534Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.404534Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:5fee7569f39d2447923b2ba1b74405fe0964f9ca89a6f4a9704ac56a109e2a7f","observation_id":"392ba3d7-f554-4dcf-95b1-e562534909f5","resolution":{"observed_at":"2026-08-15T17:30:47.404534Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.229441Z","title":"Mendonca, E","venue":null,"work_id":"edbcf714-1419-4f63-8270-8aeaa6092778","year":2025},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.407769Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:545bf2a54664f3e2fa37642f34364f916dea03f2215a98cea162b5fd21cec7bd","observation_id":"538ccfa4-410e-4e7a-b367-5de25c014983","resolution":{"observed_at":"2026-08-15T17:30:48.232719Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.219279Z","title":null,"venue":null,"work_id":"bb8efd56-f7f9-4467-b0e3-57a1708945d1","year":2020},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.410932Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:fdcff0b2eb40e20de88321b022156a225e0d9bb5b1c667a21cc6af2ecf128c0c","observation_id":"306647f7-cc4e-4172-bcc1-aff4a81347ad","resolution":{"observed_at":"2026-08-15T17:30:48.222731Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.208958Z","title":"Smith, I","venue":null,"work_id":"7ba229ab-a246-453f-ba97-756e5d2f3dbc","year":2022},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.414738Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:cf09e5ecacb2cf4286285385342c257107aeae41e1367b0c82560f9c3752db89","observation_id":"f05fe392-6314-41d1-a490-5b2dc110742c","resolution":{"observed_at":"2026-08-15T17:30:48.212596Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.198207Z","title":null,"venue":null,"work_id":"54e123dc-580d-417c-8392-5220371ea2d9","year":2023},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.418660Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:c1408b5cb33b1182e8af22eea60240a12f5cb3dddaef171c42b60c02bf22c01a","observation_id":"6271e74c-cf73-4d76-833f-58c66ac519ed","resolution":{"observed_at":"2026-08-15T17:30:48.201870Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.17634","last_updated":"2023-10-26T17:51:46Z","snapshot_observed_at":"2026-08-13T05:39:37.478814Z","submitted_at":"2023-10-26T17:51:46Z","title":"Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.17634","snapshot_observed_at":"2026-08-15T17:30:47.422280Z","title":"Smith, Y","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.422280Z"},"links":{"cited_paper":"/paper/2310.17634","citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:a7ea00c9df579410eddc7e86688718583300a2473e2f5a17e17542c1d9776095","observation_id":"247a93df-ba07-4820-b7e1-182055958d70","resolution":{"observed_at":"2026-08-15T17:30:47.422280Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.187865Z","title":"Bloesch, J","venue":null,"work_id":"fd8de12d-3c60-4d11-8eb8-849362cafe3a","year":2022},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.425779Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:b10792f7a171052f5666abf8503e7a7a2acb13d655db438d37c3148b354f93b6","observation_id":"0b4aca1f-ca57-4229-9fa7-d45a7f598f58","resolution":{"observed_at":"2026-08-15T17:30:48.191518Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.177532Z","title":"ROBOTIS OP3 e-Manual","venue":null,"work_id":"02c48c16-977b-4618-92ab-1d7784b013c8","year":2024},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.429123Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:3001b8bdc3a64a7406f6239a2d3086cf21a18193020ae32a435741bfae4423aa","observation_id":"3f6a04bf-98b0-48ad-95b6-d8bea14a7926","resolution":{"observed_at":"2026-08-15T17:30:48.181109Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:47.436554Z","title":"Maples and J","venue":null,"work_id":null,"year":1986},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.436554Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:b015a9ede9cacbbc6b078c9f893f76781bbf778bde234515e5c2add582dabf7b","observation_id":"da8b53df-09e7-472e-b669-921d70efa3c7","resolution":{"observed_at":"2026-08-15T17:30:47.436554Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.163164Z","title":null,"venue":null,"work_id":"d72f8db9-a444-4198-8ef7-4038ae69d586","year":2025},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.440117Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:bc440dbec5629ca3f40d653f2b3740a6d2eaffde323f507487532422c86e73e4","observation_id":"babeb17d-7682-41c5-b5d2-6449d5601f2e","resolution":{"observed_at":"2026-08-15T17:30:48.166595Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:48.152386Z","title":"Ground Truth","venue":null,"work_id":"32144b1b-f3dc-42cb-8456-f78c80a48841","year":2024},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.443824Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:93275d016b152f41d1e057c704fcb3c77e75c5c2677cf7f9d43aee2523e40637","observation_id":"366b1d46-dcd3-41d9-9605-e3460b3704aa","resolution":{"observed_at":"2026-08-15T17:30:48.156115Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:30:47.337310Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.337310Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:6039c7647347188cf88c68c3019e3725aebb2a081a0b4aa0cfd35ddb15ace141","observation_id":"e1526a1b-6b16-46b8-b251-92cb4582d7b0","resolution":{"observed_at":"2026-08-15T17:30:47.337310Z","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":"2026-08-15T17:30:47.308759Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.308759Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:b2d70fd61f8b15b9b88b60180cd2b5a64e8cf000d14fede0d54efb0901823075","observation_id":"e4dd0581-0ade-4c68-aa84-8ff18796156b","resolution":{"observed_at":"2026-08-15T17:30:47.308759Z","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":"2026-08-15T17:30:47.292052Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-15T17:30:47.292052Z"},"links":{"citing_paper":"/paper/2508.12252"},"observation_digest":"sha256:141eca2da21814c11532f859686e1e6633509299329084da1a5cc55dbc9a1d78","observation_id":"ebca5cb5-7f21-4995-9d3f-98db6954476b","resolution":{"observed_at":"2026-08-15T17:30:47.292052Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.12252","last_updated":"2025-08-26T03:21:20Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-16T02:22:03.549626Z","submitted_at":"2025-08-17T06:17:06Z","title":"Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids"},"reference_resolution":{"displayed":58,"state_counts":{"malformed_identifier":2,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":36,"verified_exact":3,"verified_fuzzy":16},"total_outbound_references":58},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 3 inbound Pith citation observations for arXiv:2508.12252."}