{"as_of":"2026-08-08T04:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9dbc5fdff8957a7138ac3d9ff7976ca210a3f0c1579c6a5949453941f69e5554","coverage":[{"denominator":59,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":59,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:44:08.215410Z","state":"measured"},{"denominator":59,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":59,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2505.24156/citation-record","integrity":"/paper/2505.24156/integrity","json":"/paper/2505.24156/citation-record.json","paper":"/paper/2505.24156"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:44:03.876268Z","title":"Peract2: Benchmarking and learning for robotic bimanual manipulation tasks","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:03.876268Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:bcb1ecbb13b0f8d77e853802cf7bfebef59e3e386a2861dec8e8cb8977bb4f9f","observation_id":"2fac1c56-cc2f-4620-a7b0-064742dec1e4","resolution":{"observed_at":"2026-08-07T12:44:03.876268Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.02920","last_updated":"2025-04-16T17:31:39Z","snapshot_observed_at":"2026-07-06T19:10:34.393689Z","submitted_at":"2024-09-04T17:59:52Z","title":"RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins (early version)","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.02920","snapshot_observed_at":"2026-08-07T12:44:03.940078Z","title":"Robotwin: Dual-arm robot benchmark with generative digital twins (early version).arXiv preprint arXiv:2409.02920, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:03.940078Z"},"links":{"cited_paper":"/paper/2409.02920","citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:a7e4f67b6f3fa3fa68301cc08efd40061374279ac5a5101447ec4b8a887881b9","observation_id":"bcaf170e-95de-4a17-86b4-7433c74a3e05","resolution":{"observed_at":"2026-08-07T12:44:03.940078Z","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":"2026-08-07T12:44:12.637918Z","title":"Zhao, Vikash Kumar, Sergey Levine, and Chelsea Finn","venue":null,"work_id":"5b41987e-2af6-4d35-b951-5280a043d6ae","year":2023},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:04.004285Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:a3086bceff5b03da76fba25c3f0f0ea246569aea054dd99303f76b236b871cdd","observation_id":"a31546b0-097f-4998-86f7-64d31e6aeabb","resolution":{"observed_at":"2026-08-07T12:44:12.780640Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:44:12.481585Z","title":"Sukhatme","venue":null,"work_id":"f65ee83a-f76c-45ae-976a-223814d710bd","year":2024},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:04.057663Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:2a20b55f474754d3757c191d42dbe1407c77e3277c62f40a2370981ed2b603a2","observation_id":"54af4f5a-da69-45e5-b09f-8b5933de8208","resolution":{"observed_at":"2026-08-07T12:44:12.551504Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:44:12.346925Z","title":"Stabilize to act: Learning to coordinate for bimanual manipulation","venue":null,"work_id":"a6b5fb83-4590-454a-8e1c-8f4a3d982370","year":2023},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:04.088995Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:c54f70cad03e0f4072c79d2ee88012a23d4ed1e20eb838e2c142abac9e42b0a2","observation_id":"56c91c17-8459-4094-8113-bb94cca24cfb","resolution":{"observed_at":"2026-08-07T12:44:12.422940Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:44:04.247130Z","title":"Taco: Benchmarking generalizable bimanual tool-action-object understanding","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:04.247130Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:8ecc5b4b7d524d7b6d214c79298c2827f8441adaea288d96ee4f60d5534c9c70","observation_id":"0430fe08-44b4-4835-aae1-d6576339ab25","resolution":{"observed_at":"2026-08-07T12:44:04.247130Z","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":"2026-08-07T12:44:11.857049Z","title":"Towards human-level bimanual dexterous manipulation with reinforcement learning.Advances in Neural Information Processing Systems, 35:5150–5163, 2022","venue":null,"work_id":"0dbda67d-9317-4520-938e-b4df500e2bb5","year":2022},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:04.288605Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:664edbe9d2a6b6fb6aeba289160f87abe131fdd5c54578740aa5ea17fa943a1f","observation_id":"e137aa09-a528-4cbf-9254-a739d9d3dd01","resolution":{"observed_at":"2026-08-07T12:44:11.938001Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:44:11.687464Z","title":"Bi-touch: Bimanual tactile manipulation with sim-to-real deep reinforcement learning.IEEE Robotics and Automation Letters, 8(9):5472–5479, 2023","venue":null,"work_id":"60dbb802-9b71-4dab-9c91-c6833a2bf84f","year":2023},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:04.377233Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:93a926f166cff1a05836943bfb405c680424bed12d381b90179f9efe6777d4d6","observation_id":"1e851552-939d-4968-a1d5-99057804227b","resolution":{"observed_at":"2026-08-07T12:44:11.772299Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09246","last_updated":"2024-09-05T19:46:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-06-13T15:46:55Z","title":"OpenVLA: An Open-Source Vision-Language-Action Model","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.09246","snapshot_observed_at":"2026-08-07T12:44:04.482160Z","title":"Openvla: An open-source vision-language-action model.arXiv preprint arXiv:2406.09246, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:04.482160Z"},"links":{"cited_paper":"/paper/2406.09246","citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:3fa188a57577ef303e5839b5bbc0fb50a9fd52830208c341563483a9f04d097a","observation_id":"b00183a8-b25b-4217-a162-3b8d970974bf","resolution":{"observed_at":"2026-08-07T12:44:04.482160Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.24164","last_updated":"2026-01-08T17:01:05Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-10-31T17:22:30Z","title":"$\\pi_0$: A Vision-Language-Action Flow Model for General Robot Control","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.24164","snapshot_observed_at":"2026-08-07T12:44:04.565880Z","title":"π0: A vision-language-action flow model for general robot control, 2024.URL https://arxiv","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:04.565880Z"},"links":{"cited_paper":"/paper/2410.24164","citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:c9d12e7c6eda9e1cf10e0f9c62ee224498b0a62764cf824c79cd5e1e3f4e6342","observation_id":"d6a663d2-4eb8-4385-a608-6c619c808dff","resolution":{"observed_at":"2026-08-07T12:44:04.565880Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07864","last_updated":"2025-03-01T08:57:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-10-10T12:33:46Z","title":"RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07864","snapshot_observed_at":"2026-08-07T12:44:04.614233Z","title":"Rdt-1b: a diffusion foundation model for bimanual manipulation.arXiv preprint arXiv:2410.07864, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:04.614233Z"},"links":{"cited_paper":"/paper/2410.07864","citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:8d408d52a9318aaacea96d893ec5a0ab48c992e10c144c33818ba51626d621c9","observation_id":"0408ea97-8c40-43cb-9232-0a03ef86a20e","resolution":{"observed_at":"2026-08-07T12:44:04.614233Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.14734","last_updated":"2025-03-27T02:52:43Z","snapshot_observed_at":"2026-08-02T04:15:31.100670Z","submitted_at":"2025-03-18T21:06:21Z","title":"GR00T N1: An Open Foundation Model for Generalist Humanoid Robots","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.14734","snapshot_observed_at":"2026-08-07T12:44:04.662193Z","title":"Gr00t n1: An open foundation model for generalist humanoid robots.arXiv preprint arXiv:2503.14734, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:04.662193Z"},"links":{"cited_paper":"/paper/2503.14734","citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:46e966075338016b96573379b2056fff217d4eb36e8baad599dd92c57aef1a7b","observation_id":"6a5143d7-b632-43db-b835-ab8acb693f40","resolution":{"observed_at":"2026-08-07T12:44:04.662193Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.06669","last_updated":"2025-08-04T04:50:21Z","snapshot_observed_at":"2026-08-04T23:08:22.516431Z","submitted_at":"2025-03-09T15:40:29Z","title":"AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.06669","snapshot_observed_at":"2026-08-07T12:44:04.720791Z","title":"Agibot world colosseo: A large-scale manipulation platform for scalable and intelligent embodied systems.arXiv preprint arXiv:2503.06669, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:04.720791Z"},"links":{"cited_paper":"/paper/2503.06669","citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:f6aa27b3accc7b24a6494811fc98ee38448d8c2e3820e825c749e77d0d6c5fcf","observation_id":"7d75ce22-ca01-4944-ac0b-53e1aca7ee89","resolution":{"observed_at":"2026-08-07T12:44:04.720791Z","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":"2026-08-07T12:44:11.556604Z","title":"Cogvideox: Text-to-video diffusion models with an expert transformer","venue":null,"work_id":"6fed3aff-4240-4f6f-857b-fd53a34a7b06","year":2025},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:04.806817Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:3bec29e38b40d04f785dce4b53227c77352eaf123df1df972031eb677b833819","observation_id":"c4286d83-0b49-482e-8780-22cbafe551a9","resolution":{"observed_at":"2026-08-07T12:44:11.619306Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:44:11.448093Z","title":"Open-television: Teleoperation with immersive active visual feedback","venue":null,"work_id":"273d515f-7c93-4c95-aedf-afc8746de9b7","year":2024},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:04.848490Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:ec8537da553691511aa69761d47b9a18ec4636c5d947c6f943665844e4ef8d24","observation_id":"6073b6e8-ad1b-42a6-a8d4-eb0e1cf6aa34","resolution":{"observed_at":"2026-08-07T12:44:11.489368Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.13877","last_updated":"2025-05-27T01:46:53Z","snapshot_observed_at":"2026-07-06T20:09:14.917734Z","submitted_at":"2024-12-18T14:17:16Z","title":"RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.13877","snapshot_observed_at":"2026-08-07T12:44:04.884308Z","title":"Robomind: Benchmark on multi-embodiment intelligence normative data for robot manipulation.arXiv preprint arXiv:2412.13877, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:04.884308Z"},"links":{"cited_paper":"/paper/2412.13877","citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:da977a1452329abeb2e4a0ca5b12da22c7c5cbc6dd4c70718fa74c37f1cf4f00","observation_id":"0bf92015-6fa3-4b81-869b-0b24459e896e","resolution":{"observed_at":"2026-08-07T12:44:04.884308Z","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":"2026-08-07T12:44:04.940244Z","title":"Motion-i2v: Consistent and controllable image-to-video generation with explicit motion modeling","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:04.940244Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:139a6e4ab0065ccfe5536263b57709ceecd44f683d04eb8aef6e611992984b0e","observation_id":"eb0a3954-2c33-4201-87a8-179a45056f8c","resolution":{"observed_at":"2026-08-07T12:44:04.940244Z","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":"2026-08-07T12:44:05.020864Z","title":"Raft: Recurrent all-pairs field transforms for optical flow","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:05.020864Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:66817b55452b637f93093babb3152f9200b5d24cf904559801c0b30f136451cd","observation_id":"61677f15-766e-43c4-ad4d-81e8968df44c","resolution":{"observed_at":"2026-08-07T12:44:05.020864Z","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":"2026-08-07T12:44:05.098999Z","title":"Diffusion policy: Visuomotor policy learning via action diffusion.The International Journal of Robotics Research, page 02783649241273668, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:05.098999Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:e285bf16ec8509128258b4150aef3c79c9b1c814f36b9397eac8d545e2f0e920","observation_id":"cd00a0c8-fdf3-41fc-990d-0c67755ed727","resolution":{"observed_at":"2026-08-07T12:44:05.098999Z","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":"2026-08-07T12:44:11.286925Z","title":"Learning manipulation by sequencing motor primitives with a two-armed robot","venue":null,"work_id":"fc1048c4-831f-4fd3-80b6-2597cca6aaef","year":2016},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:05.146131Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:519c1626c8542a352d40fbcfdae0a741979f74bb08d3eea283aa713b8e053661","observation_id":"2eccbf07-e555-4e86-97bf-6d047b2b7b58","resolution":{"observed_at":"2026-08-07T12:44:11.373458Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:44:11.132128Z","title":"A system for imitation learning of contact-rich bimanual manipulation policies","venue":null,"work_id":"3fe572a2-95d1-467b-b532-be95f4364d1a","year":2022},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:05.197668Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:6ebda6e12401ae09a54cf20eee7813c42d023c6a166c1262ae4d6b339df5b18b","observation_id":"f3228e6d-c88d-4ca3-8bda-a61f047d91c5","resolution":{"observed_at":"2026-08-07T12:44:11.239931Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:44:11.015294Z","title":"Deep imitation learning for bimanual robotic manipulation.Advances in neural information processing systems, 33:2327–2337, 2020","venue":null,"work_id":"84724624-9f01-4004-a0d1-635cd74f7458","year":2020},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:05.285339Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:fa9397c48eb4f38b9d97100215cb5fff54cdbc0171d160f10053ab7120d571e6","observation_id":"5d8336de-a3bf-4548-87df-43ea6ebf4ae6","resolution":{"observed_at":"2026-08-07T12:44:11.068028Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.10506","last_updated":"2024-06-18T18:11:07Z","snapshot_observed_at":"2026-08-04T05:16:12.953751Z","submitted_at":"2024-03-15T17:45:44Z","title":"HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.10506","snapshot_observed_at":"2026-08-07T12:44:05.423644Z","title":"Humanoid- bench: Simulated humanoid benchmark for whole-body locomotion and manipulation.arXiv preprint arXiv:2403.10506, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:05.423644Z"},"links":{"cited_paper":"/paper/2403.10506","citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:576151251fcc89113f9353e4ee7f2c414d8d9802ee970d8bd1369b057826f048","observation_id":"15afa95b-f4d9-4901-969a-88adc9cd4342","resolution":{"observed_at":"2026-08-07T12:44:05.423644Z","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":"2026-08-07T12:44:10.871100Z","title":"Bigym: A demo-driven mobile bi-manual manipulation benchmark","venue":null,"work_id":"64e5dddf-d898-48fc-95f3-da968c356fad","year":null},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:05.507727Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:cf64ca25c6829f73e41d124542a1e7ec8ed933c71fcf06c73a718c79a9e10793","observation_id":"a5e7fb93-c5d5-4fa0-b5da-c3a0372b47c6","resolution":{"observed_at":"2026-08-07T12:44:10.942838Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:44:10.589985Z","title":"Zhao, and Chelsea Finn","venue":null,"work_id":"8c078da4-f502-4b6f-8b8c-c4ad30dbb4cc","year":2024},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:05.693363Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:0d023888467589dfba5d755b8616fa87bdf6fb59928308065e3473326f167608","observation_id":"1c11c2fe-234f-4b6c-8226-0a098b1da6b1","resolution":{"observed_at":"2026-08-07T12:44:10.670542Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:44:10.365537Z","title":"Mimicgen: A data generation system for scalable robot learning using human demonstrations","venue":null,"work_id":"7773b85f-82d3-4ab0-b10b-9a717fa8a9a2","year":2023},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:05.753884Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:de134eb1351d22e56ca130a433991419b5457d706c5e40c6eda580bbdd080888","observation_id":"167d60bd-69cf-4f17-82e8-9cd07240c600","resolution":{"observed_at":"2026-08-07T12:44:10.514527Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:44:10.026549Z","title":"Dexmimicgen: Automated data generation for bimanual dexterous manipulation via imitation learning","venue":null,"work_id":"e3630f74-4975-4aeb-8128-986ebdabdfa4","year":2025},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:05.795213Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:ff2b8d92ed0070a370df440d55290bcb99500af961354dd827f18ee8e0ba6458","observation_id":"d272dfd6-bcb4-4c07-a694-0a90644aaa95","resolution":{"observed_at":"2026-08-07T12:44:10.167669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:44:12.015702Z","title":"Bi-kvil: Keypoints-based visual imitation learning of bimanual manipulation tasks","venue":null,"work_id":"a4efc23d-f6a9-425d-a67e-efd2fb244e82","year":2024},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:05.857117Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:1c1c068adc8b9fcccc4166dad9edec8ea5b4ae2631af0993fcb4f8455aba44ec","observation_id":"1eb90710-51fb-4167-9347-2ce984bc88d0","resolution":{"observed_at":"2026-08-07T12:44:12.095500Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:44:12.163116Z","title":"Interactive imitation learning of bimanual movement primitives.IEEE/ASME Transactions on Mechatronics, 2023","venue":null,"work_id":"b348ccb8-396d-4ad7-a02f-13effab4d6be","year":2023},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:05.939426Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:4a3fd424d6910df5c11b7d6844ff250ed487fa832c2f4c27a34ee9278c4c1991","observation_id":"1dd43b64-256b-4be9-9f06-9c35b259422b","resolution":{"observed_at":"2026-08-07T12:44:12.265045Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:44:09.732103Z","title":"InterACT: Inter-dependency aware action chunking with hierarchical attention transformers for bimanual manipulation","venue":null,"work_id":"9d053ca0-810e-4cb8-9855-950ce43b1cae","year":2024},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:05.991148Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:df5d87ddaf539cd9db6dce7ab0c59664e7024cd75e22649a8844ecbea994d6be","observation_id":"60c6a14d-e412-4b26-9edf-55b1e1b1aa56","resolution":{"observed_at":"2026-08-07T12:44:09.833950Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.12213","last_updated":"2024-05-26T19:55:26Z","snapshot_observed_at":"2026-07-06T18:16:51.116432Z","submitted_at":"2024-05-20T17:57:01Z","title":"Octo: An Open-Source Generalist Robot Policy","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.12213","snapshot_observed_at":"2026-08-07T12:44:06.059408Z","title":"Octo: An open-source generalist robot policy.arXiv preprint arXiv:2405.12213, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:06.059408Z"},"links":{"cited_paper":"/paper/2405.12213","citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:153a8e3460a6b3402f6a11e9cb8d2fbb116bab46d563bd01c3fa15ce874ae47d","observation_id":"c28b8204-994e-4025-a49b-910d8f7ab99d","resolution":{"observed_at":"2026-08-07T12:44:06.059408Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.15830","last_updated":"2025-05-19T02:40:18Z","snapshot_observed_at":"2026-07-06T20:26:31.558337Z","submitted_at":"2025-01-27T07:34:33Z","title":"SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.15830","snapshot_observed_at":"2026-08-07T12:44:06.124651Z","title":"Spatialvla: Exploring spatial representations for visual-language-action model","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:06.124651Z"},"links":{"cited_paper":"/paper/2501.15830","citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:a1b773fe679976e5836e6ff7905279d51c241759a73eb4afdd0402e4aeae236c","observation_id":"5b935397-c482-4cc6-9d71-910456882a75","resolution":{"observed_at":"2026-08-07T12:44:06.124651Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.19650","last_updated":"2024-11-29T12:06:03Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-11-29T12:06:03Z","title":"CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.19650","snapshot_observed_at":"2026-08-07T12:44:06.193883Z","title":"Cogact: A foundational vision-language-action model for synergizing cognition and action in robotic manipulation.arXiv preprint arXiv:2411.19650, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:06.193883Z"},"links":{"cited_paper":"/paper/2411.19650","citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:9ec425944b469b27b5a03d20b98a048a35a9eeaa77ac898b670ce723422b2077","observation_id":"231118b3-8f9b-4594-a547-cde708953bfe","resolution":{"observed_at":"2026-08-07T12:44:06.193883Z","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":"2026-08-07T12:44:06.269803Z","title":"Dexgraspvla: A vision-language-action framework towards general dexterous grasping.arXiv preprint arXiv:2502.20900, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:06.269803Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:5887ab602e969f9cdb361831cd5f197a6f1bbb77baac1fe675af816d3177d910","observation_id":"3e83782f-60aa-4ab7-a5c5-87baef0780f6","resolution":{"observed_at":"2026-08-07T12:44:06.269803Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.20384","last_updated":"2025-04-14T11:39:39Z","snapshot_observed_at":"2026-08-07T16:36:01.318021Z","submitted_at":"2025-03-26T10:05:38Z","title":"MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.20384","snapshot_observed_at":"2026-08-07T12:44:06.343233Z","title":"Mole-vla: Dynamic layer-skipping vision language action model via mixture-of-layers for efficient robot manipulation.arXiv preprint arXiv:2503.20384, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:06.343233Z"},"links":{"cited_paper":"/paper/2503.20384","citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:51bf4ec7cde1fb5855969df916625aac9d35aa46d6314313cfe6d5f2d5a06139","observation_id":"6f11c451-0ad3-4ec4-acac-2e7d5d3fa5d5","resolution":{"observed_at":"2026-08-07T12:44:06.343233Z","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":"2026-08-07T12:44:06.440163Z","title":"Learning an actionable dis- crete diffusion policy via large-scale actionless video pre-training","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:06.440163Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:e2c0f6feeacfdb83e4a5de493eca58cc9923ddbd0586e9565c10ecd1304dc779","observation_id":"18a086b1-d1e2-4298-95f8-2b4e561103c0","resolution":{"observed_at":"2026-08-07T12:44:06.440163Z","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":"2026-08-07T12:44:06.539740Z","title":"Video diffusion models.Advances in Neural Information Processing Systems, 35:8633–8646, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:06.539740Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:b9a47cbe456c8b78478941b81e5d26a613dc266590374e8b8e8373684b4afd9b","observation_id":"bee84a65-eff2-407f-86dd-eab3fd439225","resolution":{"observed_at":"2026-08-07T12:44:06.539740Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.15868","last_updated":"2022-05-29T19:02:15Z","snapshot_observed_at":"2026-07-06T13:15:58.303738Z","submitted_at":"2022-05-29T19:02:15Z","title":"CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.15868","snapshot_observed_at":"2026-08-07T12:44:06.609040Z","title":"Cogvideo: Large-scale pretraining for text-to-video generation via transformers.arXiv preprint arXiv:2205.15868, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:06.609040Z"},"links":{"cited_paper":"/paper/2205.15868","citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:d0cc83cc42973dd6050d579cd34ca97aa3e4bdbcd02e776391e40c1d8e141255","observation_id":"5bcbadb6-88c3-414d-8bb9-ca315084392a","resolution":{"observed_at":"2026-08-07T12:44:06.609040Z","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":"2026-08-07T12:44:06.677872Z","title":"Learning universal policies via text-guided video generation.Advances in neural information processing systems, 36:9156–9172, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:06.677872Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:ef950a8cbc2648cad7800d6f53247a9614791a0d7b39c2e6c8369f2dda669283","observation_id":"da57f813-7684-47be-ac5b-b5790e4c2d0f","resolution":{"observed_at":"2026-08-07T12:44:06.677872Z","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":"2026-08-07T12:44:09.619154Z","title":"Tenenbaum","venue":null,"work_id":"429000c6-8939-4ffe-a31d-a234016c3af0","year":2024},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:06.744303Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:07bee04ed6afc086c4731312ded001562281185818a0915dc1f7f137dae68575","observation_id":"5c371ed9-8661-4b74-bd73-2598e2f92313","resolution":{"observed_at":"2026-08-07T12:44:09.653079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:44:09.518605Z","title":"Grounding video models to actions through goal conditioned exploration","venue":null,"work_id":"4fe29b73-f654-430e-a54a-31025b423154","year":2025},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:06.847418Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:9227bb84c34c39ea60e4171274df07ae64024259240fa7cdce83ce36c875d03b","observation_id":"d116d889-5c4c-4831-b474-abd130333a4f","resolution":{"observed_at":"2026-08-07T12:44:09.592222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:44:09.178839Z","title":"Robodreamer: Learning compositional world models for robot imagination","venue":null,"work_id":"f9503ec2-350a-4672-b4be-13a538ca7af7","year":2024},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:06.922885Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:30780f07e0bcdd2900cd17ce3bc90dea67cc2aec9cba3faeacf8401eff428926","observation_id":"34c42fec-0338-40a2-9cf2-cdec63d56755","resolution":{"observed_at":"2026-08-07T12:44:09.299336Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:44:09.137199Z","title":"Vidman: Exploiting implicit dynamics from video diffusion model for effective robot manipulation.Advances in Neural Information Processing Systems, 37:41051–41075, 2024","venue":null,"work_id":"f5200275-9749-4cb9-b288-d24473036634","year":2024},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:07.016998Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:42aeb42f41d01e728a84e196dd94841e0906e75726b4a4e1bf6ff5012eb430d9","observation_id":"3cefc23a-d791-41c4-a1b5-45c13c0bb7ff","resolution":{"observed_at":"2026-08-07T12:44:09.148044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.20404","last_updated":"2024-12-29T08:52:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-29T08:52:49Z","title":"Open-Sora: Democratizing Efficient Video Production for All","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.20404","snapshot_observed_at":"2026-08-07T12:44:07.109191Z","title":"Open-sora: Democratizing efficient video production for all.arXiv preprint arXiv:2412.20404, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:07.109191Z"},"links":{"cited_paper":"/paper/2412.20404","citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:e9ca7f75a1c819b67eb45fae97b9ef32ba4e03d7a81905cdeb28d1f5410ac7be","observation_id":"3d7bb084-2812-4bb6-9c60-6fdca5151224","resolution":{"observed_at":"2026-08-07T12:44:07.109191Z","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":"2026-08-07T12:44:07.210196Z","title":"Open x-embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration 0","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:07.210196Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:9aa3df5215822ee8cdb30b9a5405cdaa4c59848b4d6eb80e8551cfa3a772eff7","observation_id":"2768bf18-0f9c-4e5f-8f63-771cb17a482c","resolution":{"observed_at":"2026-08-07T12:44:07.210196Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.14540","last_updated":"2025-07-29T16:48:03Z","snapshot_observed_at":"2026-08-06T20:16:51.288291Z","submitted_at":"2024-06-20T17:50:16Z","title":"IRASim: A Fine-Grained World Model for Robot Manipulation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.14540","snapshot_observed_at":"2026-08-07T12:44:07.307769Z","title":"Irasim: Learning interactive real-robot action simulators.arXiv preprint arXiv:2406.14540, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:07.307769Z"},"links":{"cited_paper":"/paper/2406.14540","citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:15571977c8f88c8c29449ce098acaa2fddb977403ff8bca00056a14b90d24b8e","observation_id":"d80fbe2f-7cd1-40ee-9807-32de246ad89f","resolution":{"observed_at":"2026-08-07T12:44:07.307769Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12822","last_updated":"2024-11-24T19:37:04Z","snapshot_observed_at":"2026-07-06T19:34:46.714277Z","submitted_at":"2024-10-01T13:48:31Z","title":"AVID: Adapting Video Diffusion Models to World Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.12822","snapshot_observed_at":"2026-08-07T12:44:07.372300Z","title":"Avid: Adapting video diffusion models to world models.arXiv preprint arXiv:2410.12822, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:07.372300Z"},"links":{"cited_paper":"/paper/2410.12822","citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:029cc77e4100aea3706b67be0f0a9be82980eb97b57ecc06724fb931a1ea23ed","observation_id":"34e5f4aa-5e0c-4837-8273-c8eea0c9a849","resolution":{"observed_at":"2026-08-07T12:44:07.372300Z","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":"2026-08-07T12:44:08.931957Z","title":"AdaWM: Adaptive world model based planning for autonomous driving","venue":null,"work_id":"81ecc4d7-ef80-42a7-b6e6-d3f9730d6084","year":2025},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:07.423391Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:f76bc77d865405469db88b031ff4184a8e3e53b8877501110c1cbff1b94b91e0","observation_id":"e1c12c8f-e986-43f3-8d92-73890d0503f6","resolution":{"observed_at":"2026-08-07T12:44:09.049168Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:44:08.757386Z","title":"Flowformer++: Masked cost volume autoencoding for pretraining optical flow estimation","venue":null,"work_id":"740e4e20-8356-4c52-9c49-f74af7d366b2","year":2023},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:07.497484Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:d86064f13d52fbee5814dc0588c510da8f5b302067637a8e21edf83734580a18","observation_id":"8d20f82c-8c48-4edd-a587-1ff4ce3d668d","resolution":{"observed_at":"2026-08-07T12:44:08.813360Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.03954","last_updated":"2024-09-27T02:43:48Z","snapshot_observed_at":"2026-08-01T16:34:39.855742Z","submitted_at":"2024-03-06T18:58:49Z","title":"3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.03954","snapshot_observed_at":"2026-08-07T12:44:07.559077Z","title":"3d diffusion policy: Generalizable visuomotor policy learning via simple 3d representations.arXiv preprint arXiv:2403.03954, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:07.559077Z"},"links":{"cited_paper":"/paper/2403.03954","citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:071f8dd4bc0f9e92602422046a76258b7b67543a597d1f1a4965287ae74927de","observation_id":"650addb1-45ad-418b-9f65-ca3a1138b024","resolution":{"observed_at":"2026-08-07T12:44:07.559077Z","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":"2026-08-07T12:44:07.632798Z","title":"Image quality metrics: Psnr vs","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:07.632798Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:bb2615c0f32099a4f7eb16246b050df2d73f3004a68e5cad874150ac29987e8c","observation_id":"3a264020-d2e0-4d8d-a3a7-a8611b32084e","resolution":{"observed_at":"2026-08-07T12:44:07.632798Z","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":"2026-08-07T12:44:07.718410Z","title":"Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:07.718410Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:a06f933b431cf64dade3186cd71ce4a69c653fd315341efb61567c8dbb072c5c","observation_id":"a590c559-8eca-4f32-a6a0-249a978f4b86","resolution":{"observed_at":"2026-08-07T12:44:07.718410Z","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":"2026-08-07T12:44:07.790593Z","title":"The unreasonable effectiveness of deep features as a perceptual metric","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:07.790593Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:b47507d0fb663dafadf0ca4d40293e52032ff3ab785a8c809cab043e961339a7","observation_id":"031ffeed-379c-4cf0-b6be-1a3a8a29b77e","resolution":{"observed_at":"2026-08-07T12:44:07.790593Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1812.01717","last_updated":"2019-03-27T16:43:17Z","snapshot_observed_at":"2026-07-06T07:19:11.957225Z","submitted_at":"2018-12-03T03:57:42Z","title":"Towards Accurate Generative Models of Video: A New Metric & Challenges","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.01717","snapshot_observed_at":"2026-08-07T12:44:07.872644Z","title":"Towards accurate generative models of video: A new metric & challenges.arXiv preprint arXiv:1812.01717, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:07.872644Z"},"links":{"cited_paper":"/paper/1812.01717","citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:074fb6561225cf3366139fadb04e6ac92061cdfe26dc3d70e587db42e1ccab3e","observation_id":"7927f42b-564d-48ce-9124-096462d42db5","resolution":{"observed_at":"2026-08-07T12:44:07.872644Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.03162","last_updated":"2024-07-03T14:35:35Z","snapshot_observed_at":"2026-08-03T10:58:14.357760Z","submitted_at":"2024-07-03T14:35:35Z","title":"Bunny-VisionPro: Real-Time Bimanual Dexterous Teleoperation for Imitation Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.03162","snapshot_observed_at":"2026-08-07T12:44:07.953294Z","title":"Bunny-visionpro: Real-time bimanual dexterous teleoperation for imitation learning.arXiv preprint arXiv:2407.03162, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:07.953294Z"},"links":{"cited_paper":"/paper/2407.03162","citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:c93ad0f5ede3f7b200048860e526711cbd815933a63a365870f5c96c17d76fdc","observation_id":"46889b61-55be-4ffa-b472-269bd1302727","resolution":{"observed_at":"2026-08-07T12:44:07.953294Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.08858","last_updated":"2024-06-13T06:44:46Z","snapshot_observed_at":"2026-08-06T19:58:25.663767Z","submitted_at":"2024-06-13T06:44:46Z","title":"OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.08858","snapshot_observed_at":"2026-08-07T12:44:08.033340Z","title":"Omnih2o: Universal and dexterous human-to-humanoid whole-body teleoperation and learning.arXiv preprint arXiv:2406.08858, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:08.033340Z"},"links":{"cited_paper":"/paper/2406.08858","citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:b2bcb27a808f7caacd54d59868ea4599c4b1f47766430901dae5b49108106279","observation_id":"1cd04788-5a2c-48be-ba50-222e4c3e00a0","resolution":{"observed_at":"2026-08-07T12:44:08.033340Z","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":"2026-08-07T12:44:08.139200Z","title":"Using apple vision pro to train and control robots, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:08.139200Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:0ed7421e9a5b0f256eab413bc2f00440a98c00e8c4325e5ff8807efebc04da60","observation_id":"179cb5ee-4512-475f-b9e9-989c0d8982f7","resolution":{"observed_at":"2026-08-07T12:44:08.139200Z","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":"2026-08-07T12:44:08.543249Z","title":"Grasp the rope on the box and pull together to bring the box closer","venue":null,"work_id":"653df9f3-f7e3-47f2-94d4-0f894320c6b6","year":2019},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:08.215410Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:9f532d00e764d386d36f35891717387bec436aa266867f48bbb17c95f20e012c","observation_id":"ac0e4fe9-bc07-4976-9e0c-bfabf194b869","resolution":{"observed_at":"2026-08-07T12:44:08.641167Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:44:10.729788Z","title":null,"venue":null,"work_id":"171a7702-8ef6-4cae-a379-b99ba5ecaa1f","year":null},"citing_paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:05.600471Z"},"links":{"citing_paper":"/paper/2505.24156"},"observation_digest":"sha256:1409f77ccd7e4d2a329d39f9ec048c9ea46705296e671506fd67dc42bbbc463c","observation_id":"2b3325ee-2e6d-4d9a-9643-4f982f124578","resolution":{"observed_at":"2026-08-07T12:44:10.796678Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.24156","last_updated":"2025-05-30T03:01:21Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T12:29:44.351768Z","submitted_at":"2025-05-30T03:01:21Z","title":"Towards a Generalizable Bimanual Foundation Policy via Flow-based Video Prediction"},"reference_resolution":{"displayed":59,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":35,"verified_exact":0,"verified_fuzzy":24},"total_outbound_references":59},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2505.24156."}