{"as_of":"2026-08-19T04:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e168ad27de077f78721d98c55c33b5f98ea5bd34cd1e1361984e6e2b90382fc8","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":"2026-08-02T18:37:59.477319Z","state":"measured"},{"denominator":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-26T16:46:29.650500Z","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":"2026-07-04T04:49:34.744497Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2603.08111","last_updated":"2026-07-25T02:25:22Z","snapshot_observed_at":"2026-08-18T19:42:17.766931Z","submitted_at":"2026-03-09T08:53:11Z","title":"DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport","version":2},"cited_work":{"arxiv_id":"2603.08111","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2603.08111","snapshot_observed_at":"2026-07-28T01:21:36.841650Z","title":"Shibata, R","venue":null,"work_id":"0aaa7c62-3054-416d-ba9b-5ca2ce27105d","year":2026},"citing_paper":{"arxiv_id":"2606.20990","last_updated":"2026-06-18T23:47:27Z","snapshot_observed_at":"2026-07-06T23:56:02.397254Z","submitted_at":"2026-06-18T23:47:27Z","title":"Duet: Dual-Robot Understanding via Efficient Teaching","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-06-26T16:46:29.650500Z"},"links":{"cited_paper":"/paper/2603.08111","citing_paper":"/paper/2606.20990"},"observation_digest":"sha256:dc5d058d5b64d9a990143808d860d32a648e1f448dc1c68a57a23ceb8cb912aa","observation_id":"de9dd55c-f83d-4def-ab2a-4690756e4ef0","resolution":{"observed_at":"2026-07-28T01:21:36.841650Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2603.08111/citation-record","integrity":"/paper/2603.08111/integrity","json":"/paper/2603.08111/citation-record.json","paper":"/paper/2603.08111"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T18:37:57.133311Z","title":"Cooperative grasping and transportation using multi-agent reinforcement learning with ternary force representation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.08111","last_updated":"2026-07-25T02:25:22Z","snapshot_observed_at":"2026-08-18T19:42:17.766931Z","submitted_at":"2026-03-09T08:53:11Z","title":"DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T18:37:57.133311Z"},"links":{"citing_paper":"/paper/2603.08111"},"observation_digest":"sha256:c7f8d92c5feafbc3539ac8d59e54c7b5bf93fbea62d96a1a0442892f4d1f3ad3","observation_id":"fdcd2c87-095e-4ad2-bceb-ab84fbc789df","resolution":{"observed_at":"2026-08-02T18:37:57.133311Z","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":"2026-08-02T18:37:57.184931Z","title":"Learning multi-agent loco-manipulation for long-horizon quadrupedal pushing,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.08111","last_updated":"2026-07-25T02:25:22Z","snapshot_observed_at":"2026-08-18T19:42:17.766931Z","submitted_at":"2026-03-09T08:53:11Z","title":"DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T18:37:57.184931Z"},"links":{"citing_paper":"/paper/2603.08111"},"observation_digest":"sha256:f8d40c8aa1bcaafa514ca023f116aed0e14d203e92ae3e0d2d2b6d6c7ed7c484","observation_id":"4b9591b0-55d9-4394-88a8-89371c41dca0","resolution":{"observed_at":"2026-08-02T18:37:57.184931Z","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":"2026-08-02T18:37:57.287101Z","title":"Learning decentralized multi-biped control for payload transport,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.08111","last_updated":"2026-07-25T02:25:22Z","snapshot_observed_at":"2026-08-18T19:42:17.766931Z","submitted_at":"2026-03-09T08:53:11Z","title":"DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T18:37:57.287101Z"},"links":{"citing_paper":"/paper/2603.08111"},"observation_digest":"sha256:65c84fa9be27a9d2d93fdbf9de81cc168c28d73402fd538c4f037ba12c014bba","observation_id":"d75d8997-78a4-4e4b-aa92-42816e3a3afe","resolution":{"observed_at":"2026-08-02T18:37:57.287101Z","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":"2026-08-02T18:37:57.346960Z","title":"Deep reinforcement learning for coordinated payload transport in biped-wheeled robots,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.08111","last_updated":"2026-07-25T02:25:22Z","snapshot_observed_at":"2026-08-18T19:42:17.766931Z","submitted_at":"2026-03-09T08:53:11Z","title":"DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T18:37:57.346960Z"},"links":{"citing_paper":"/paper/2603.08111"},"observation_digest":"sha256:e342189581dcaad5e2ea0235b86f19b0aaf44fe1f2ada2fb4847038c23b89929","observation_id":"9118b6b8-a314-484f-b3d7-896435f4f891","resolution":{"observed_at":"2026-08-02T18:37:57.346960Z","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":"2026-08-02T18:37:57.385701Z","title":"Decentralized aerial manipulation of a cable-suspended load using multi-agent reinforcement learning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.08111","last_updated":"2026-07-25T02:25:22Z","snapshot_observed_at":"2026-08-18T19:42:17.766931Z","submitted_at":"2026-03-09T08:53:11Z","title":"DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T18:37:57.385701Z"},"links":{"citing_paper":"/paper/2603.08111"},"observation_digest":"sha256:dd1a23b5461638c425222d0f9898d91fa238c0dfd188f92f414af5f6299e3548","observation_id":"82b7230d-ed05-41c6-a752-8f831ccaf466","resolution":{"observed_at":"2026-08-02T18:37:57.385701Z","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":"2026-08-02T18:37:57.505843Z","title":"Deep reinforcement learning of event-triggered communication and consensus-based control for distributed cooperative transport,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2603.08111","last_updated":"2026-07-25T02:25:22Z","snapshot_observed_at":"2026-08-18T19:42:17.766931Z","submitted_at":"2026-03-09T08:53:11Z","title":"DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T18:37:57.505843Z"},"links":{"citing_paper":"/paper/2603.08111"},"observation_digest":"sha256:4654f4518fd3aae867fa3ab8d3d4ae886f3c010237264c5bca940fb372db8ebd","observation_id":"0be88e21-c15e-4c2d-a058-47398f6ca188","resolution":{"observed_at":"2026-08-02T18:37:57.505843Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18221","last_updated":"2025-03-23T21:48:26Z","snapshot_observed_at":"2026-08-18T06:51:58.607340Z","submitted_at":"2025-03-23T21:48:26Z","title":"Decentralized Navigation of a Cable-Towed Load using Quadrupedal Robot Team via MARL","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.18221","snapshot_observed_at":"2026-08-02T18:37:57.573740Z","title":"De- centralized navigation of a cable-towed load using quadrupedal robot team via MARL,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.08111","last_updated":"2026-07-25T02:25:22Z","snapshot_observed_at":"2026-08-18T19:42:17.766931Z","submitted_at":"2026-03-09T08:53:11Z","title":"DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T18:37:57.573740Z"},"links":{"cited_paper":"/paper/2503.18221","citing_paper":"/paper/2603.08111"},"observation_digest":"sha256:e1d3020f5054e7049b3a5830260d8d621d6bc79005a42284b9003c02bf49bc90","observation_id":"98fcb70c-79b0-4f26-9ca5-6780a9c7b472","resolution":{"observed_at":"2026-08-02T18:37:57.573740Z","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":"2026-08-02T18:37:57.678617Z","title":"Multi-agent actor-critic for mixed cooperative-competitive environments,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2603.08111","last_updated":"2026-07-25T02:25:22Z","snapshot_observed_at":"2026-08-18T19:42:17.766931Z","submitted_at":"2026-03-09T08:53:11Z","title":"DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T18:37:57.678617Z"},"links":{"citing_paper":"/paper/2603.08111"},"observation_digest":"sha256:a53bef0a983d7b456575a4d8e0706cfa14e0b67eadab156244a51027c4941155","observation_id":"151c332e-5237-43ab-a8bf-c15201532121","resolution":{"observed_at":"2026-08-02T18:37:57.678617Z","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":"2026-08-02T18:37:57.769573Z","title":"Multi-robot object transport motion planning with a deformable sheet,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2603.08111","last_updated":"2026-07-25T02:25:22Z","snapshot_observed_at":"2026-08-18T19:42:17.766931Z","submitted_at":"2026-03-09T08:53:11Z","title":"DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T18:37:57.769573Z"},"links":{"citing_paper":"/paper/2603.08111"},"observation_digest":"sha256:c92f9f997263ebf0b0322e11ea32230251c3fedcec110e79095b0903193546b6","observation_id":"d3826b25-0675-4a9e-b972-338fa0e253d2","resolution":{"observed_at":"2026-08-02T18:37:57.769573Z","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":"2026-08-02T18:37:57.847817Z","title":"Coopera- tive multi-robot object transportation system based on hierarchical quadratic programming,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2603.08111","last_updated":"2026-07-25T02:25:22Z","snapshot_observed_at":"2026-08-18T19:42:17.766931Z","submitted_at":"2026-03-09T08:53:11Z","title":"DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T18:37:57.847817Z"},"links":{"citing_paper":"/paper/2603.08111"},"observation_digest":"sha256:13badf50753c3c2242fd739ae38119b599acf59a69a6fdf1265f3f981d814d67","observation_id":"18fefd00-d123-48aa-a6cd-7cfe245b4186","resolution":{"observed_at":"2026-08-02T18:37:57.847817Z","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":"2026-08-02T18:37:57.925659Z","title":"Payload-aware trajectory optimisa- tion for non-holonomic mobile multi-robot manipulation with tip-over avoidance,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.08111","last_updated":"2026-07-25T02:25:22Z","snapshot_observed_at":"2026-08-18T19:42:17.766931Z","submitted_at":"2026-03-09T08:53:11Z","title":"DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T18:37:57.925659Z"},"links":{"citing_paper":"/paper/2603.08111"},"observation_digest":"sha256:06ac8dc23d7d8695696545a3cc8e332e86d83d040ab59fc09866a7c1ffd101d4","observation_id":"7110fce4-6429-43e6-a3ce-c65b0f1fc6a5","resolution":{"observed_at":"2026-08-02T18:37:57.925659Z","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":"2026-08-02T18:37:58.021448Z","title":"Nonlinear model predictive control for coop- erative transportation and manipulation of cable suspended payloads with multiple quadrotors,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2603.08111","last_updated":"2026-07-25T02:25:22Z","snapshot_observed_at":"2026-08-18T19:42:17.766931Z","submitted_at":"2026-03-09T08:53:11Z","title":"DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T18:37:58.021448Z"},"links":{"citing_paper":"/paper/2603.08111"},"observation_digest":"sha256:8f901a232dcbf11bc357784bf48ee00354dc7ec57928cb9207dd2d174ee503a7","observation_id":"7ee8ca7b-375a-4121-99dc-0b02a6aaebbb","resolution":{"observed_at":"2026-08-02T18:37:58.021448Z","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":"2026-08-02T18:37:58.085034Z","title":"Agile and cooperative aerial manipulation of a cable-suspended load,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.08111","last_updated":"2026-07-25T02:25:22Z","snapshot_observed_at":"2026-08-18T19:42:17.766931Z","submitted_at":"2026-03-09T08:53:11Z","title":"DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T18:37:58.085034Z"},"links":{"citing_paper":"/paper/2603.08111"},"observation_digest":"sha256:8f5d21f4e9854eb20a122fd1b238d1e35f48860b1a1eea4d0453d6e5c6e897db","observation_id":"a5fb7df3-f966-4e54-af26-f24768c53e90","resolution":{"observed_at":"2026-08-02T18:37:58.085034Z","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":"2026-08-02T18:37:58.170054Z","title":"Distributed data-driven predictive control for multi-agent collabora- tive legged locomotion,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2603.08111","last_updated":"2026-07-25T02:25:22Z","snapshot_observed_at":"2026-08-18T19:42:17.766931Z","submitted_at":"2026-03-09T08:53:11Z","title":"DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T18:37:58.170054Z"},"links":{"citing_paper":"/paper/2603.08111"},"observation_digest":"sha256:b8526adc30819cdda3e3951dac480ab405b25d7dd1f5c607f5180f17d074608f","observation_id":"81464fd3-4d4c-4351-a99e-000351f3d0d4","resolution":{"observed_at":"2026-08-02T18:37:58.170054Z","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":"2026-08-02T18:37:58.261476Z","title":"Distributed NMPC for cooperative aerial manipulation of cable-suspended loads,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.08111","last_updated":"2026-07-25T02:25:22Z","snapshot_observed_at":"2026-08-18T19:42:17.766931Z","submitted_at":"2026-03-09T08:53:11Z","title":"DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T18:37:58.261476Z"},"links":{"citing_paper":"/paper/2603.08111"},"observation_digest":"sha256:970b606a5a5c91e400348fad21b1247c817ad2041c8918a855cdd6c2d00320db","observation_id":"742e88f0-5988-4387-91a7-60ac61141a5d","resolution":{"observed_at":"2026-08-02T18:37:58.261476Z","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":"2026-08-02T18:37:58.347214Z","title":"Decentralized adaptive control for collaborative manipulation of rigid bodies,","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2603.08111","last_updated":"2026-07-25T02:25:22Z","snapshot_observed_at":"2026-08-18T19:42:17.766931Z","submitted_at":"2026-03-09T08:53:11Z","title":"DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T18:37:58.347214Z"},"links":{"citing_paper":"/paper/2603.08111"},"observation_digest":"sha256:a086b6647a1e236179e9b70bb2ce990dc3f208cd6b0bb2915df77b978117e427","observation_id":"a2502e44-0b16-4e70-a2af-95d605724d10","resolution":{"observed_at":"2026-08-02T18:37:58.347214Z","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":"2026-08-02T18:37:58.442336Z","title":"Decentralized ability-aware adaptive control for multi-robot collaborative manipulation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2603.08111","last_updated":"2026-07-25T02:25:22Z","snapshot_observed_at":"2026-08-18T19:42:17.766931Z","submitted_at":"2026-03-09T08:53:11Z","title":"DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T18:37:58.442336Z"},"links":{"citing_paper":"/paper/2603.08111"},"observation_digest":"sha256:e9e8164c307db5477bbdad66fd7a348d687fd08d4824073ad9e0803d28425144","observation_id":"47f79737-b0bb-46be-b996-ed4ada089081","resolution":{"observed_at":"2026-08-02T18:37:58.442336Z","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":"2026-08-02T18:37:58.535852Z","title":"Hierarchical adaptive control for collaborative manipulation of a rigid object by quadrupedal robots,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2603.08111","last_updated":"2026-07-25T02:25:22Z","snapshot_observed_at":"2026-08-18T19:42:17.766931Z","submitted_at":"2026-03-09T08:53:11Z","title":"DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T18:37:58.535852Z"},"links":{"citing_paper":"/paper/2603.08111"},"observation_digest":"sha256:9b15e222c19adea694b66e5aff0c8479b649285f2a9a969e1c993b5c7a2e30ab","observation_id":"09807a52-79a0-4268-8681-af662ea0a95d","resolution":{"observed_at":"2026-08-02T18:37:58.535852Z","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":"2026-08-02T18:37:58.650856Z","title":"Sim-to- real transfer of robotic control with dynamics randomization,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2603.08111","last_updated":"2026-07-25T02:25:22Z","snapshot_observed_at":"2026-08-18T19:42:17.766931Z","submitted_at":"2026-03-09T08:53:11Z","title":"DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-02T18:37:58.650856Z"},"links":{"citing_paper":"/paper/2603.08111"},"observation_digest":"sha256:83c538e00f79099de5b953187344aca27887520ed78b8975e50ec3714bf71f1b","observation_id":"8ab27012-fd08-4970-a8db-92971a323005","resolution":{"observed_at":"2026-08-02T18:37:58.650856Z","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":"2026-08-02T18:37:58.792977Z","title":"COCOI: Contact-aware online context inference for generalizable non-planar pushing,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2603.08111","last_updated":"2026-07-25T02:25:22Z","snapshot_observed_at":"2026-08-18T19:42:17.766931Z","submitted_at":"2026-03-09T08:53:11Z","title":"DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T18:37:58.792977Z"},"links":{"citing_paper":"/paper/2603.08111"},"observation_digest":"sha256:4f5ef886f4f52321526f5f5b8ea99867a43a3ac6b01cd7c4c0d1747a5f9677c7","observation_id":"aa06db7b-a53f-4a00-b4b4-32ede191bba6","resolution":{"observed_at":"2026-08-02T18:37:58.792977Z","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":"2026-08-02T18:37:58.913024Z","title":"Dynamic object goal pushing with mobile manipulators through model-free constrained reinforcement learning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.08111","last_updated":"2026-07-25T02:25:22Z","snapshot_observed_at":"2026-08-18T19:42:17.766931Z","submitted_at":"2026-03-09T08:53:11Z","title":"DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-02T18:37:58.913024Z"},"links":{"citing_paper":"/paper/2603.08111"},"observation_digest":"sha256:12e628bd23603ac84d01b9816845a95d36f06a6a198dc91ea3b7313d734c7561","observation_id":"541ef4ef-e959-4463-99e3-417855b7bc06","resolution":{"observed_at":"2026-08-02T18:37:58.913024Z","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":"2026-08-02T18:37:59.006592Z","title":"Learning whole-body manipulation for quadrupedal robot,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.08111","last_updated":"2026-07-25T02:25:22Z","snapshot_observed_at":"2026-08-18T19:42:17.766931Z","submitted_at":"2026-03-09T08:53:11Z","title":"DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-02T18:37:59.006592Z"},"links":{"citing_paper":"/paper/2603.08111"},"observation_digest":"sha256:bbe3cd9ebc8d33f35533bf863228cd8b4368438b63733e1c374732734e18e672","observation_id":"cc109f62-55e4-4b98-8ed5-6293c35e0151","resolution":{"observed_at":"2026-08-02T18:37:59.006592Z","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":"2026-08-02T18:37:59.149543Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2603.08111","last_updated":"2026-07-25T02:25:22Z","snapshot_observed_at":"2026-08-18T19:42:17.766931Z","submitted_at":"2026-03-09T08:53:11Z","title":"DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-02T18:37:59.149543Z"},"links":{"citing_paper":"/paper/2603.08111"},"observation_digest":"sha256:36bd10fc4fd34d3c6dd110fc958eb03e71ef81fcd4de2b4f69bc77406d67cb2f","observation_id":"779bb29d-40ef-4481-8607-566e2a7e435e","resolution":{"observed_at":"2026-08-02T18:37:59.149543Z","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":"2026-08-02T18:37:59.234547Z","title":"The surprising effectiveness of PPO in cooperative multi- agent games,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2603.08111","last_updated":"2026-07-25T02:25:22Z","snapshot_observed_at":"2026-08-18T19:42:17.766931Z","submitted_at":"2026-03-09T08:53:11Z","title":"DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-02T18:37:59.234547Z"},"links":{"citing_paper":"/paper/2603.08111"},"observation_digest":"sha256:6230beaf47a3cb98097833b049070b3f4d59c358227e260791ae201353eae535","observation_id":"68300e13-ce31-48a0-96d0-b7b8f411eda9","resolution":{"observed_at":"2026-08-02T18:37:59.234547Z","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":"2026-08-02T18:37:59.364261Z","title":"Proximal policy optimization algorithms,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2603.08111","last_updated":"2026-07-25T02:25:22Z","snapshot_observed_at":"2026-08-18T19:42:17.766931Z","submitted_at":"2026-03-09T08:53:11Z","title":"DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-02T18:37:59.364261Z"},"links":{"cited_paper":"/paper/1707.06347","citing_paper":"/paper/2603.08111"},"observation_digest":"sha256:f598aad97ded603c78586732a6c636cd35798e764e09a08d2ad1b39ac75e098e","observation_id":"1b8a31ab-4c84-4e3e-a717-3a577c007405","resolution":{"observed_at":"2026-08-02T18:37:59.364261Z","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":"2026-08-02T18:37:59.477319Z","title":"Domain randomization via entropy maximization,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.08111","last_updated":"2026-07-25T02:25:22Z","snapshot_observed_at":"2026-08-18T19:42:17.766931Z","submitted_at":"2026-03-09T08:53:11Z","title":"DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-02T18:37:59.477319Z"},"links":{"citing_paper":"/paper/2603.08111"},"observation_digest":"sha256:1b259935dae7becd527c87a1286dc76f48fc2c1da99446f64f108f89a300eea7","observation_id":"7a599cf4-2243-40d1-a188-48f2388fce19","resolution":{"observed_at":"2026-08-02T18:37:59.477319Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2603.08111","last_updated":"2026-07-25T02:25:22Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-18T19:42:17.766931Z","submitted_at":"2026-03-09T08:53:11Z","title":"DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2603.08111."}