{"as_of":"2026-08-09T16:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:da38346ecdf7f7224928d6746fd80bd2c71722983327813f8130d80367c27399","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":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T19:04:59.452357Z","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":"2026-07-04T11:19:49.071396Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2304.08742","last_updated":"2023-05-13T00:05:05Z","snapshot_observed_at":"2026-07-31T13:18:08.106331Z","submitted_at":"2023-04-18T05:42:53Z","title":"Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets","version":2},"cited_work":{"arxiv_id":"2304.08742","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.08742","snapshot_observed_at":"2026-07-04T11:19:49.071396Z","title":"Behavior retrieval: Few-shot imitation learning by querying unlabeled datasets","venue":null,"work_id":"eb2152d2-7d00-4c85-9290-20e1c3de9551","year":2023},"citing_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},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-11T00:26:15.163358Z"},"links":{"cited_paper":"/paper/2304.08742","citing_paper":"/paper/2405.12213"},"observation_digest":"sha256:1d5d652bbd30ab8194fb4dfbde7429160d3ede1a4e86f20bfdb21cec9cbb5ffb","observation_id":"a758246e-20a1-42f9-b7f9-d4e567c651f7","resolution":{"observed_at":"2026-05-11T00:26:15.290684Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08742","last_updated":"2023-05-13T00:05:05Z","snapshot_observed_at":"2026-07-31T13:18:08.106331Z","submitted_at":"2023-04-18T05:42:53Z","title":"Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08742","snapshot_observed_at":"2026-08-06T19:04:59.452357Z","title":"Behavior retrieval: Few-shot imitation learning by querying unlabeled datasets","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06628","last_updated":"2025-07-09T07:54:49Z","snapshot_observed_at":"2026-08-07T04:05:07.872057Z","submitted_at":"2025-07-09T07:54:49Z","title":"Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T19:04:59.452357Z"},"links":{"cited_paper":"/paper/2304.08742","citing_paper":"/paper/2507.06628"},"observation_digest":"sha256:08c44a155d854887d15e7b78b41a89b7b4a047b25abbb042fdb986c6836a0b43","observation_id":"a11048d2-ea06-46a6-b930-8b517f2be48d","resolution":{"observed_at":"2026-08-06T19:04:59.452357Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08742","last_updated":"2023-05-13T00:05:05Z","snapshot_observed_at":"2026-07-31T13:18:08.106331Z","submitted_at":"2023-04-18T05:42:53Z","title":"Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08742","snapshot_observed_at":"2026-08-06T12:52:20.070082Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.21452","last_updated":"2025-07-29T02:43:34Z","snapshot_observed_at":"2026-08-08T04:20:18.531602Z","submitted_at":"2025-07-29T02:43:34Z","title":"Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T12:52:20.070082Z"},"links":{"cited_paper":"/paper/2304.08742","citing_paper":"/paper/2507.21452"},"observation_digest":"sha256:0828c1882972a29bdd57a871d9fba6e071064d9ee0373882e9e084bfcd4549e8","observation_id":"086d347a-9c11-4716-8577-cc64bf7658f8","resolution":{"observed_at":"2026-08-06T12:52:20.070082Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08742","last_updated":"2023-05-13T00:05:05Z","snapshot_observed_at":"2026-07-31T13:18:08.106331Z","submitted_at":"2023-04-18T05:42:53Z","title":"Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08742","snapshot_observed_at":"2026-08-05T12:24:40.533025Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.01657","last_updated":"2025-09-01T17:58:41Z","snapshot_observed_at":"2026-08-09T04:27:22.694300Z","submitted_at":"2025-09-01T17:58:41Z","title":"Data Retrieval with Importance Weights for Few-Shot Imitation Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T12:24:40.533025Z"},"links":{"cited_paper":"/paper/2304.08742","citing_paper":"/paper/2509.01657"},"observation_digest":"sha256:67787de1f355330cbc376cdcf3748836338aaa9624d21b452aaebf0cba9381d6","observation_id":"f1457062-49ed-4715-a063-6af183ae1647","resolution":{"observed_at":"2026-08-05T12:24:40.533025Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08742","last_updated":"2023-05-13T00:05:05Z","snapshot_observed_at":"2026-07-31T13:18:08.106331Z","submitted_at":"2023-04-18T05:42:53Z","title":"Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets","version":2},"cited_work":{"arxiv_id":"2304.08742","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.08742","snapshot_observed_at":"2026-07-04T11:19:49.071396Z","title":"Behavior retrieval: Few-shot imitation learning by querying unlabeled datasets","venue":null,"work_id":"eb2152d2-7d00-4c85-9290-20e1c3de9551","year":2023},"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":8,"source":"pdf_text","source_observed_at":"2026-05-14T19:15:45.167147Z"},"links":{"cited_paper":"/paper/2304.08742","citing_paper":"/paper/2605.13428"},"observation_digest":"sha256:8c613505528e9e925e5f38abb6520aeb26a2b3164bc2b779757e7203856170ba","observation_id":"7ac11cb6-61c2-4e3b-9b6a-5a5ac72369f1","resolution":{"observed_at":"2026-05-14T19:17:50.301061Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08742","last_updated":"2023-05-13T00:05:05Z","snapshot_observed_at":"2026-07-31T13:18:08.106331Z","submitted_at":"2023-04-18T05:42:53Z","title":"Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets","version":2},"cited_work":{"arxiv_id":"2304.08742","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.08742","snapshot_observed_at":"2026-07-04T11:19:49.071396Z","title":"Behavior retrieval: Few-shot imitation learning by querying unlabeled datasets","venue":null,"work_id":"eb2152d2-7d00-4c85-9290-20e1c3de9551","year":2023},"citing_paper":{"arxiv_id":"2606.09381","last_updated":"2026-06-08T11:57:17Z","snapshot_observed_at":"2026-08-06T02:03:21.014332Z","submitted_at":"2026-06-08T11:57:17Z","title":"ReGIL: Retrieval-Guided Imitation Learning from a Single Demonstration","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-27T16:22:44.813127Z"},"links":{"cited_paper":"/paper/2304.08742","citing_paper":"/paper/2606.09381"},"observation_digest":"sha256:4255a631e81124ca976305a4879f672466b899630a7bc3af005e5e0b8b55b48b","observation_id":"79f949bc-1f0c-4850-a946-8de98e25ce34","resolution":{"observed_at":"2026-07-03T01:37:31.348301Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08742","last_updated":"2023-05-13T00:05:05Z","snapshot_observed_at":"2026-07-31T13:18:08.106331Z","submitted_at":"2023-04-18T05:42:53Z","title":"Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08742","snapshot_observed_at":"2026-08-02T11:22:20.567581Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.15587","last_updated":"2026-07-15T04:55:13Z","snapshot_observed_at":"2026-08-07T05:34:11.340890Z","submitted_at":"2026-06-14T04:15:29Z","title":"Perfect Demo Makes Poor Teacher: Learning Robust Alignment from Critical Motion Segments","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-02T11:22:20.567581Z"},"links":{"cited_paper":"/paper/2304.08742","citing_paper":"/paper/2606.15587"},"observation_digest":"sha256:f3a21043ccd4dc6a4c06cc8b427a410ad2fb8cebf4d33b77b8f5421c15f3c4c3","observation_id":"16fe3cf8-f921-4f2e-8b9f-27322f829f2b","resolution":{"observed_at":"2026-08-02T11:22:20.567581Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08742","last_updated":"2023-05-13T00:05:05Z","snapshot_observed_at":"2026-07-31T13:18:08.106331Z","submitted_at":"2023-04-18T05:42:53Z","title":"Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets","version":2},"cited_work":{"arxiv_id":"2304.08742","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.08742","snapshot_observed_at":"2026-07-04T11:19:49.071396Z","title":"Behavior retrieval: Few-shot imitation learning by querying unlabeled datasets","venue":null,"work_id":"eb2152d2-7d00-4c85-9290-20e1c3de9551","year":2023},"citing_paper":{"arxiv_id":"2606.23371","last_updated":"2026-06-22T14:06:04Z","snapshot_observed_at":"2026-08-07T04:27:19.343399Z","submitted_at":"2026-06-22T14:06:04Z","title":"TSD: A Physics-Inspired Trajectory Saliency Detector for Efficient Imitation Learning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-26T08:06:00.057747Z"},"links":{"cited_paper":"/paper/2304.08742","citing_paper":"/paper/2606.23371"},"observation_digest":"sha256:52e8c1cd8ac00e4edf27b1d943bcccff0d5b9f4abd08597ce08da117853394a1","observation_id":"5eee392a-5a8b-41b4-bcb1-30a93253e54f","resolution":{"observed_at":"2026-07-04T11:19:49.073268Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2304.08742/citation-record","integrity":"/paper/2304.08742/integrity","json":"/paper/2304.08742/citation-record.json","paper":"/paper/2304.08742"},"outbound":[],"paper":{"arxiv_id":"2304.08742","last_updated":"2023-05-13T00:05:05Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-07-31T13:18:08.106331Z","submitted_at":"2023-04-18T05:42:53Z","title":"Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2304.08742."}