{"as_of":"2026-08-07T14:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:18bed7613ca2b492f97e03c0610b42548ff9421cd0f9f5e61a2bf94a34f65a08","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":16,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:27:55.411725Z","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":"2026-07-04T11:09:47.113804Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.01812","last_updated":"2024-10-15T14:50:29Z","snapshot_observed_at":"2026-08-03T18:37:18.872911Z","submitted_at":"2024-07-01T21:23:26Z","title":"Equivariant Diffusion Policy","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.01812","snapshot_observed_at":"2026-08-07T10:27:55.411725Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05168","last_updated":"2025-06-05T15:43:52Z","snapshot_observed_at":"2026-08-07T10:20:47.246234Z","submitted_at":"2025-06-05T15:43:52Z","title":"Fabrica: Dual-Arm Assembly of General Multi-Part Objects via Integrated Planning and Learning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T10:27:55.411725Z"},"links":{"cited_paper":"/paper/2407.01812","citing_paper":"/paper/2506.05168"},"observation_digest":"sha256:e27aaab9e28dfbee251ec018d4f1a25fec709749c8ae19d837d5c408569e6eb6","observation_id":"4986da34-5867-40b1-b45e-2e4a7eeab8e7","resolution":{"observed_at":"2026-08-07T10:27:55.411725Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.01812","last_updated":"2024-10-15T14:50:29Z","snapshot_observed_at":"2026-08-03T18:37:18.872911Z","submitted_at":"2024-07-01T21:23:26Z","title":"Equivariant Diffusion Policy","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.01812","snapshot_observed_at":"2026-08-06T23:11:17.241970Z","title":"Equivariant diffusion policy.arXiv preprint arXiv:2407.01812, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.19269","last_updated":"2025-06-25T05:10:04Z","snapshot_observed_at":"2026-08-06T23:04:37.298588Z","submitted_at":"2025-06-24T03:03:26Z","title":"AnchorDP3: 3D Affordance Guided Sparse Diffusion Policy for Robotic Manipulation","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T23:11:17.241970Z"},"links":{"cited_paper":"/paper/2407.01812","citing_paper":"/paper/2506.19269"},"observation_digest":"sha256:ad64444bd7c1428746c573645e52b2a010cbc96e1eaa3d17fa102b677fc2aa1a","observation_id":"ab5e0372-02d9-4fd5-8f58-0763496570d6","resolution":{"observed_at":"2026-08-06T23:11:17.241970Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.01812","last_updated":"2024-10-15T14:50:29Z","snapshot_observed_at":"2026-08-03T18:37:18.872911Z","submitted_at":"2024-07-01T21:23:26Z","title":"Equivariant Diffusion Policy","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.01812","snapshot_observed_at":"2026-08-06T05:33:12.296479Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01600","last_updated":"2025-08-03T05:37:25Z","snapshot_observed_at":"2026-08-07T05:10:52.755119Z","submitted_at":"2025-08-03T05:37:25Z","title":"CLASS: Contrastive Learning via Action Sequence Supervision for Robot Manipulation","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-06T05:33:12.296479Z"},"links":{"cited_paper":"/paper/2407.01812","citing_paper":"/paper/2508.01600"},"observation_digest":"sha256:b64254fc3eb3cb6c077b39b5257618a89ff3ee9f3a9d7ffaf860fcf9a1bf810a","observation_id":"a38adeca-b396-4f2b-aa66-a5502d610e09","resolution":{"observed_at":"2026-08-06T05:33:12.296479Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.01812","last_updated":"2024-10-15T14:50:29Z","snapshot_observed_at":"2026-08-03T18:37:18.872911Z","submitted_at":"2024-07-01T21:23:26Z","title":"Equivariant Diffusion Policy","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.01812","snapshot_observed_at":"2026-08-05T17:03:21.392455Z","title":"Equivariant diffusion pol- icy.arXiv preprint arXiv:2407.01812, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.17230","last_updated":"2025-09-06T14:24:21Z","snapshot_observed_at":"2026-08-05T17:03:20.491893Z","submitted_at":"2025-08-24T07:06:56Z","title":"4D Visual Pre-training for Robot Learning","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T17:03:21.392455Z"},"links":{"cited_paper":"/paper/2407.01812","citing_paper":"/paper/2508.17230"},"observation_digest":"sha256:8f7feeab0d8e81f61852103175021507b6148754579457a680b1dca1fa8fa1a4","observation_id":"a11434cf-28ad-42a3-a12e-98d85db0e938","resolution":{"observed_at":"2026-08-05T17:03:21.392455Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.01812","last_updated":"2024-10-15T14:50:29Z","snapshot_observed_at":"2026-08-03T18:37:18.872911Z","submitted_at":"2024-07-01T21:23:26Z","title":"Equivariant Diffusion Policy","version":3},"cited_work":{"arxiv_id":"2407.01812","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.01812","snapshot_observed_at":"2026-07-04T11:09:47.113804Z","title":"Equivariant diffusion policy","venue":null,"work_id":"9187a99a-325b-4339-a477-f1482bfbdef1","year":2024},"citing_paper":{"arxiv_id":"2510.08547","last_updated":"2026-04-29T08:33:26Z","snapshot_observed_at":"2026-08-02T09:22:46.822482Z","submitted_at":"2025-10-09T17:55:44Z","title":"R2RGEN: Real-to-Real 3D Data Generation for Spatially Generalized Manipulation","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-18T08:46:51.278024Z"},"links":{"cited_paper":"/paper/2407.01812","citing_paper":"/paper/2510.08547"},"observation_digest":"sha256:e3de7d35d9c2c978f15166c40f042cf5113ec2122ea65a6ac467a7e7ca04bbf2","observation_id":"52266f9d-2d6f-482d-bb48-d14958669274","resolution":{"observed_at":"2026-05-18T08:51:09.068950Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2407.01812","last_updated":"2024-10-15T14:50:29Z","snapshot_observed_at":"2026-08-03T18:37:18.872911Z","submitted_at":"2024-07-01T21:23:26Z","title":"Equivariant Diffusion Policy","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.01812","snapshot_observed_at":"2026-08-02T18:47:52.197023Z","title":"Equivariant diffusion policy, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.05117","last_updated":"2026-07-30T06:55:05Z","snapshot_observed_at":"2026-08-02T23:16:32.480088Z","submitted_at":"2026-03-05T12:42:53Z","title":"SeedPolicy: Horizon Scaling via Self-Evolving Diffusion Policy for Robot Manipulation","version":4},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-02T18:47:52.197023Z"},"links":{"cited_paper":"/paper/2407.01812","citing_paper":"/paper/2603.05117"},"observation_digest":"sha256:e16529fc1549bd8358133a0b35ff57f9def1ac0d620891a84a71009bbdd958f0","observation_id":"23fe1c02-80ba-4e64-ba08-7af01e64ed2b","resolution":{"observed_at":"2026-08-02T18:47:52.197023Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.01812","last_updated":"2024-10-15T14:50:29Z","snapshot_observed_at":"2026-08-03T18:37:18.872911Z","submitted_at":"2024-07-01T21:23:26Z","title":"Equivariant Diffusion Policy","version":3},"cited_work":{"arxiv_id":"2407.01812","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.01812","snapshot_observed_at":"2026-07-04T11:09:47.113804Z","title":"Equivariant diffusion policy","venue":null,"work_id":"9187a99a-325b-4339-a477-f1482bfbdef1","year":2024},"citing_paper":{"arxiv_id":"2605.13428","last_updated":"2026-05-13T12:22:40Z","snapshot_observed_at":"2026-07-06T23:25:01.951546Z","submitted_at":"2026-05-13T12:22:40Z","title":"SID: Sliding into Distribution for Robust Few-Demonstration Manipulation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-14T19:15:45.167147Z"},"links":{"cited_paper":"/paper/2407.01812","citing_paper":"/paper/2605.13428"},"observation_digest":"sha256:9b0a8ed8afb35800c6dad50073b7c693f6b10a863b71b9d2992c142b1b2b31c1","observation_id":"dcb7a15d-67c2-4813-8c20-8ead4136c112","resolution":{"observed_at":"2026-05-14T19:17:50.497860Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2407.01812","last_updated":"2024-10-15T14:50:29Z","snapshot_observed_at":"2026-08-03T18:37:18.872911Z","submitted_at":"2024-07-01T21:23:26Z","title":"Equivariant Diffusion Policy","version":3},"cited_work":{"arxiv_id":"2407.01812","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.01812","snapshot_observed_at":"2026-07-04T11:09:47.113804Z","title":"Equivariant diffusion policy","venue":null,"work_id":"9187a99a-325b-4339-a477-f1482bfbdef1","year":2024},"citing_paper":{"arxiv_id":"2605.20648","last_updated":"2026-05-20T03:09:41Z","snapshot_observed_at":"2026-07-06T23:31:13.042581Z","submitted_at":"2026-05-20T03:09:41Z","title":"Jointly Learning Predicates and Actions Enables Zero-Shot Skill Composition","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-21T05:10:49.673130Z"},"links":{"cited_paper":"/paper/2407.01812","citing_paper":"/paper/2605.20648"},"observation_digest":"sha256:9d219151e605a67a05c82301151439baf9b713943b9a6942adb09407aecfd8a5","observation_id":"b777fe55-5a7c-4e0d-a900-058ba55fb607","resolution":{"observed_at":"2026-05-21T05:13:58.580125Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2407.01812","last_updated":"2024-10-15T14:50:29Z","snapshot_observed_at":"2026-08-03T18:37:18.872911Z","submitted_at":"2024-07-01T21:23:26Z","title":"Equivariant Diffusion Policy","version":3},"cited_work":{"arxiv_id":"2407.01812","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.01812","snapshot_observed_at":"2026-07-04T11:09:47.113804Z","title":"Equivariant diffusion policy","venue":null,"work_id":"9187a99a-325b-4339-a477-f1482bfbdef1","year":2024},"citing_paper":{"arxiv_id":"2606.19784","last_updated":"2026-06-18T04:36:57Z","snapshot_observed_at":"2026-08-01T20:09:52.472703Z","submitted_at":"2026-06-18T04:36:57Z","title":"EquiVLA: A General Framework for Rotationally Equivariant Vision-Language-Action Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-26T17:29:08.456346Z"},"links":{"cited_paper":"/paper/2407.01812","citing_paper":"/paper/2606.19784"},"observation_digest":"sha256:2ea657687776c3053e61fb9addadb12e38440a313fad57f65d6021f0e1e762d5","observation_id":"ec976707-ba9b-4026-9106-a99c4e44c7f0","resolution":{"observed_at":"2026-07-04T03:59:32.876846Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2407.01812","last_updated":"2024-10-15T14:50:29Z","snapshot_observed_at":"2026-08-03T18:37:18.872911Z","submitted_at":"2024-07-01T21:23:26Z","title":"Equivariant Diffusion Policy","version":3},"cited_work":{"arxiv_id":"2407.01812","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.01812","snapshot_observed_at":"2026-07-04T11:09:47.113804Z","title":"Equivariant diffusion policy","venue":null,"work_id":"9187a99a-325b-4339-a477-f1482bfbdef1","year":2024},"citing_paper":{"arxiv_id":"2606.20135","last_updated":"2026-06-18T11:58:30Z","snapshot_observed_at":"2026-08-05T06:15:01.339328Z","submitted_at":"2026-06-18T11:58:30Z","title":"Frequency-Aware Flow Matching for Continuous and Consistent Robotic Action Generation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-26T17:17:45.015151Z"},"links":{"cited_paper":"/paper/2407.01812","citing_paper":"/paper/2606.20135"},"observation_digest":"sha256:98dfc4540d7dd38d9b28f676ea1605558bbaafcbc42be91717a5f4fc0f6e3cbb","observation_id":"b014cf84-b782-4d72-8c2c-0d4723389464","resolution":{"observed_at":"2026-07-04T03:59:34.208878Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2407.01812","last_updated":"2024-10-15T14:50:29Z","snapshot_observed_at":"2026-08-03T18:37:18.872911Z","submitted_at":"2024-07-01T21:23:26Z","title":"Equivariant Diffusion Policy","version":3},"cited_work":{"arxiv_id":"2407.01812","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.01812","snapshot_observed_at":"2026-07-04T11:09:47.113804Z","title":"Equivariant diffusion policy","venue":null,"work_id":"9187a99a-325b-4339-a477-f1482bfbdef1","year":2024},"citing_paper":{"arxiv_id":"2606.21672","last_updated":"2026-06-19T18:23:24Z","snapshot_observed_at":"2026-08-06T18:21:47.690787Z","submitted_at":"2026-06-19T18:23:24Z","title":"Imitation from Heterogeneous Demonstrations using Grounded Latent-Action World Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-26T14:07:31.139419Z"},"links":{"cited_paper":"/paper/2407.01812","citing_paper":"/paper/2606.21672"},"observation_digest":"sha256:c249e1bf5c2e0ce9ee2b66b969c8e104e3899c7a28a59c088db251f1329e41c7","observation_id":"58a31280-9e14-4f3c-98fa-1878add34247","resolution":{"observed_at":"2026-07-04T06:49:38.532577Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2407.01812","last_updated":"2024-10-15T14:50:29Z","snapshot_observed_at":"2026-08-03T18:37:18.872911Z","submitted_at":"2024-07-01T21:23:26Z","title":"Equivariant Diffusion Policy","version":3},"cited_work":{"arxiv_id":"2407.01812","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.01812","snapshot_observed_at":"2026-07-04T11:09:47.113804Z","title":"Equivariant diffusion policy","venue":null,"work_id":"9187a99a-325b-4339-a477-f1482bfbdef1","year":2024},"citing_paper":{"arxiv_id":"2606.23625","last_updated":"2026-06-22T17:19:57Z","snapshot_observed_at":"2026-07-06T23:58:20.975630Z","submitted_at":"2026-06-22T17:19:57Z","title":"Learning to See While Learning to Act: Diffusion Models for Active Perception in Robot Imitation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-26T08:08:48.779570Z"},"links":{"cited_paper":"/paper/2407.01812","citing_paper":"/paper/2606.23625"},"observation_digest":"sha256:b82d76e6514eb415a5cb81d6255b1e55551697f52aa42e29c977dc918a424198","observation_id":"384d6171-0b52-4301-b7c8-455d5e9687a1","resolution":{"observed_at":"2026-07-04T11:09:47.115557Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2407.01812","last_updated":"2024-10-15T14:50:29Z","snapshot_observed_at":"2026-08-03T18:37:18.872911Z","submitted_at":"2024-07-01T21:23:26Z","title":"Equivariant Diffusion Policy","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.01812","snapshot_observed_at":"2026-07-14T09:52:25.940408Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10706","last_updated":"2026-07-12T10:58:06Z","snapshot_observed_at":"2026-08-06T06:06:36.146640Z","submitted_at":"2026-07-12T10:58:06Z","title":"Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-14T09:52:25.940408Z"},"links":{"cited_paper":"/paper/2407.01812","citing_paper":"/paper/2607.10706"},"observation_digest":"sha256:3faa7654b9250fd08922d97dc974b24edeb31129157497257001d77674cc27a5","observation_id":"5a701e70-f703-4b60-9dcc-afef005c51f9","resolution":{"observed_at":"2026-07-14T09:52:25.940408Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.01812","last_updated":"2024-10-15T14:50:29Z","snapshot_observed_at":"2026-08-03T18:37:18.872911Z","submitted_at":"2024-07-01T21:23:26Z","title":"Equivariant Diffusion Policy","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.01812","snapshot_observed_at":"2026-07-14T06:33:12.974578Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.11167","last_updated":"2026-07-13T07:03:29Z","snapshot_observed_at":"2026-08-04T12:27:56.327233Z","submitted_at":"2026-07-13T07:03:29Z","title":"Pix2Act: Image-Space Manipulation Policies with Equivariant Augmentation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-14T06:33:12.974578Z"},"links":{"cited_paper":"/paper/2407.01812","citing_paper":"/paper/2607.11167"},"observation_digest":"sha256:0a9e8359e8286dc9a71f915059ea3ed838ecc6295aa660a076c9336e7b652beb","observation_id":"e081c9e0-eeba-49e7-bdcc-d16c77ce9bd0","resolution":{"observed_at":"2026-07-14T06:33:12.974578Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.01812","last_updated":"2024-10-15T14:50:29Z","snapshot_observed_at":"2026-08-03T18:37:18.872911Z","submitted_at":"2024-07-01T21:23:26Z","title":"Equivariant Diffusion Policy","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.01812","snapshot_observed_at":"2026-07-31T23:37:14.065390Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.27890","last_updated":"2026-07-30T09:05:04Z","snapshot_observed_at":"2026-08-03T02:07:52.914193Z","submitted_at":"2026-07-30T09:05:04Z","title":"Static In, Dynamic Out: Counterfactual Action Augmentation for Moving Object Manipulation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-31T23:37:14.065390Z"},"links":{"cited_paper":"/paper/2407.01812","citing_paper":"/paper/2607.27890"},"observation_digest":"sha256:442f2b92d124d43462ff69ca71949de34e0a64e17f7e0c05689b2099a74ad380","observation_id":"558ac2b9-87ec-43d1-a1d9-08a0408634b8","resolution":{"observed_at":"2026-07-31T23:37:14.065390Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.01812","last_updated":"2024-10-15T14:50:29Z","snapshot_observed_at":"2026-08-03T18:37:18.872911Z","submitted_at":"2024-07-01T21:23:26Z","title":"Equivariant Diffusion Policy","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.01812","snapshot_observed_at":"2026-08-04T19:45:35.284365Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.01851","last_updated":"2026-08-03T07:58:35Z","snapshot_observed_at":"2026-08-07T09:36:29.490823Z","submitted_at":"2026-08-03T07:58:35Z","title":"Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills","version":1},"reference_index":249,"source":"pdf_text","source_observed_at":"2026-08-04T19:45:35.284365Z"},"links":{"cited_paper":"/paper/2407.01812","citing_paper":"/paper/2608.01851"},"observation_digest":"sha256:af32c5682eeb5bc32f9b2318c1b65eb8ad8e246129640e56f80fbf5ada7b531e","observation_id":"331ed59e-f1bc-46a4-8a2d-dd642356c279","resolution":{"observed_at":"2026-08-04T19:45:35.284365Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2407.01812/citation-record","integrity":"/paper/2407.01812/integrity","json":"/paper/2407.01812/citation-record.json","paper":"/paper/2407.01812"},"outbound":[],"paper":{"arxiv_id":"2407.01812","last_updated":"2024-10-15T14:50:29Z","latest_version":3,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-03T18:37:18.872911Z","submitted_at":"2024-07-01T21:23:26Z","title":"Equivariant Diffusion Policy"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2407.01812."}