{"as_of":"2026-08-10T18:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1187255a6e7d2dcd5622742050a4fb0dfd2afe2dbdfc576507d8798777becb6f","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T23:06:33.783050Z","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":"2026-07-04T06:19:37.599626Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.12972","last_updated":"2024-06-03T21:37:15Z","snapshot_observed_at":"2026-07-06T16:35:48.413898Z","submitted_at":"2023-10-19T17:59:03Z","title":"CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.12972","snapshot_observed_at":"2026-08-05T23:06:33.783050Z","title":"Ccil: Continuity-based data augmentation for corrective imitation learning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.05941","last_updated":"2026-07-01T21:54:22Z","snapshot_observed_at":"2026-08-08T16:23:41.867796Z","submitted_at":"2025-08-08T02:07:08Z","title":"Latent Policy Barrier: Learning Robust Visuomotor Policies by Staying In-Distribution","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T23:06:33.783050Z"},"links":{"cited_paper":"/paper/2310.12972","citing_paper":"/paper/2508.05941"},"observation_digest":"sha256:ca2509fcbf1f44436a0e3ca13628950de63ca5a2c17e5bee09d2034715885ed9","observation_id":"753119fa-dd5c-4897-9c39-019c57de71f3","resolution":{"observed_at":"2026-08-05T23:06:33.783050Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.12972","last_updated":"2024-06-03T21:37:15Z","snapshot_observed_at":"2026-07-06T16:35:48.413898Z","submitted_at":"2023-10-19T17:59:03Z","title":"CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.12972","snapshot_observed_at":"2026-08-04T21:32:57.575867Z","title":"Ccil: Continuity-based data augmentation for corrective imitation learning.arXiv preprint arXiv:2310.12972, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.07953","last_updated":"2025-09-09T17:41:29Z","snapshot_observed_at":"2026-08-08T15:11:35.635416Z","submitted_at":"2025-09-09T17:41:29Z","title":"RaC: Robot Learning for Long-Horizon Tasks by Scaling Recovery and Correction","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T21:32:57.575867Z"},"links":{"cited_paper":"/paper/2310.12972","citing_paper":"/paper/2509.07953"},"observation_digest":"sha256:e88573afdf481d64bcd0eac30fc6c02271559f79cc97d3db6343ea5be1a4e85c","observation_id":"f49f0e5a-5109-4ad5-8eaa-5295b9a00c6d","resolution":{"observed_at":"2026-08-04T21:32:57.575867Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.12972","last_updated":"2024-06-03T21:37:15Z","snapshot_observed_at":"2026-07-06T16:35:48.413898Z","submitted_at":"2023-10-19T17:59:03Z","title":"CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.12972","snapshot_observed_at":"2026-08-03T03:18:42.641224Z","title":"CCIL: Continuity-based Data Augmentation for Correc- tive Imitation Learning.arXiv:2310.12972, June 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.08557","last_updated":"2026-06-30T09:31:26Z","snapshot_observed_at":"2026-08-09T14:57:06.127218Z","submitted_at":"2026-02-09T11:54:45Z","title":"Combined Constrained Sampling and Reinforcement Learning for Robotic Manipulation","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-03T03:18:42.641224Z"},"links":{"cited_paper":"/paper/2310.12972","citing_paper":"/paper/2602.08557"},"observation_digest":"sha256:9275342c4393a0f42abe073d8a71655ae1d552445bf6f6fc212bfc37af5a6349","observation_id":"8a8f1ca8-9c55-422b-9214-e9a3ef1746d9","resolution":{"observed_at":"2026-08-03T03:18:42.641224Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.12972","last_updated":"2024-06-03T21:37:15Z","snapshot_observed_at":"2026-07-06T16:35:48.413898Z","submitted_at":"2023-10-19T17:59:03Z","title":"CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.12972","snapshot_observed_at":"2026-07-14T23:46:32.301737Z","title":"Ccil: Continuity-based data augmentation for correc- tive imitation learning.arXiv preprint arXiv:2310.12972,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2603.10263","last_updated":"2026-07-01T06:52:08Z","snapshot_observed_at":"2026-08-07T08:16:48.418429Z","submitted_at":"2026-03-10T22:49:46Z","title":"From Prior to Pro: Efficient Skill Mastery via Distribution Contractive RL Finetuning","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-14T23:46:32.301737Z"},"links":{"cited_paper":"/paper/2310.12972","citing_paper":"/paper/2603.10263"},"observation_digest":"sha256:6a65dc0b15599f0cc990467fb04ea34cdbcca54ace92192f2a4641ef67d31854","observation_id":"6ad9138f-0b13-46bd-ad64-94259705c2d0","resolution":{"observed_at":"2026-07-14T23:46:32.301737Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.12972","last_updated":"2024-06-03T21:37:15Z","snapshot_observed_at":"2026-07-06T16:35:48.413898Z","submitted_at":"2023-10-19T17:59:03Z","title":"CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning","version":2},"cited_work":{"arxiv_id":"2310.12972","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.12972","snapshot_observed_at":"2026-07-04T06:19:37.599626Z","title":"arXiv preprint arXiv:2310.12972 , year=","venue":null,"work_id":"50e8314d-e0e1-49f8-bafa-bd70212c2156","year":2023},"citing_paper":{"arxiv_id":"2605.01862","last_updated":"2026-05-08T03:23:44Z","snapshot_observed_at":"2026-07-06T23:15:01.968194Z","submitted_at":"2026-05-03T13:11:28Z","title":"QHyer: Q-conditioned Hybrid Attention-mamba Transformer for Offline Goal-conditioned RL","version":2},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-05-11T01:17:48.643521Z"},"links":{"cited_paper":"/paper/2310.12972","citing_paper":"/paper/2605.01862"},"observation_digest":"sha256:176e57c8a747f70fa9ca341816e5f2e4f06190fddac258b17eb3b113a0769d94","observation_id":"8a865257-69c2-4a09-b066-d3f9d5866158","resolution":{"observed_at":"2026-05-11T04:30:58.607760Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.12972","last_updated":"2024-06-03T21:37:15Z","snapshot_observed_at":"2026-07-06T16:35:48.413898Z","submitted_at":"2023-10-19T17:59:03Z","title":"CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning","version":2},"cited_work":{"arxiv_id":"2310.12972","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.12972","snapshot_observed_at":"2026-07-04T06:19:37.599626Z","title":"arXiv preprint arXiv:2310.12972 , year=","venue":null,"work_id":"50e8314d-e0e1-49f8-bafa-bd70212c2156","year":2023},"citing_paper":{"arxiv_id":"2606.19586","last_updated":"2026-06-17T20:41:13Z","snapshot_observed_at":"2026-08-08T16:03:48.947340Z","submitted_at":"2026-06-17T20:41:13Z","title":"One Demo is Worth a Thousand Trajectories: Action-View Augmentation for Visuomotor Policies","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-26T20:30:35.868879Z"},"links":{"cited_paper":"/paper/2310.12972","citing_paper":"/paper/2606.19586"},"observation_digest":"sha256:194d2e231e595d206d896f5d21ef6b0b6482ac2d9f5ebdc3a38c77052e68d508","observation_id":"9c24af7b-5357-45a3-b408-797bebf9b27b","resolution":{"observed_at":"2026-07-04T01:19:20.788341Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.12972","last_updated":"2024-06-03T21:37:15Z","snapshot_observed_at":"2026-07-06T16:35:48.413898Z","submitted_at":"2023-10-19T17:59:03Z","title":"CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning","version":2},"cited_work":{"arxiv_id":"2310.12972","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.12972","snapshot_observed_at":"2026-07-04T06:19:37.599626Z","title":"arXiv preprint arXiv:2310.12972 , year=","venue":null,"work_id":"50e8314d-e0e1-49f8-bafa-bd70212c2156","year":2023},"citing_paper":{"arxiv_id":"2606.21406","last_updated":"2026-06-19T13:17:27Z","snapshot_observed_at":"2026-08-03T16:52:45.806990Z","submitted_at":"2026-06-19T13:17:27Z","title":"Robot Self-Improvement via Human-Video Dynamics Models","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-06-26T14:40:13.855741Z"},"links":{"cited_paper":"/paper/2310.12972","citing_paper":"/paper/2606.21406"},"observation_digest":"sha256:8331f3055cf862447239c487842adfd01e9ed9678ffe5d18bcfbedac33e53585","observation_id":"36c31a28-167e-4421-ad29-1f6e365a1cd0","resolution":{"observed_at":"2026-07-04T06:19:37.600992Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2310.12972/citation-record","integrity":"/paper/2310.12972/integrity","json":"/paper/2310.12972/citation-record.json","paper":"/paper/2310.12972"},"outbound":[],"paper":{"arxiv_id":"2310.12972","last_updated":"2024-06-03T21:37:15Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-07-06T16:35:48.413898Z","submitted_at":"2023-10-19T17:59:03Z","title":"CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2310.12972."}