{"as_of":"2026-08-08T00:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6e408af74992e5c6fa3255cf38e78e82ce94d1cafcaf6ae0369b98ef78059aa2","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T04:31:00.254927Z","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":"2026-07-03T01:37:31.349429Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2006.04678","last_updated":"2021-03-17T11:43:36Z","snapshot_observed_at":"2026-07-06T09:27:00.982430Z","submitted_at":"2020-06-08T15:30:11Z","title":"Primal Wasserstein Imitation Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.04678","snapshot_observed_at":"2026-08-07T04:31:00.254927Z","title":"doi: 10.1017/CBO9780511804441","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.10629","last_updated":"2025-06-12T12:13:58Z","snapshot_observed_at":"2026-08-07T04:19:08.043815Z","submitted_at":"2025-06-12T12:13:58Z","title":"Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning","version":1},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-07T04:31:00.254927Z"},"links":{"cited_paper":"/paper/2006.04678","citing_paper":"/paper/2506.10629"},"observation_digest":"sha256:644abae9c5a4dbe1ba06a1b1a2b0393d848414d3be1b6c9f971bca66bcc8b971","observation_id":"1d280e65-99a7-48d4-9950-55ccffc929dd","resolution":{"observed_at":"2026-08-07T04:31:00.254927Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.04678","last_updated":"2021-03-17T11:43:36Z","snapshot_observed_at":"2026-07-06T09:27:00.982430Z","submitted_at":"2020-06-08T15:30:11Z","title":"Primal Wasserstein Imitation Learning","version":2},"cited_work":{"arxiv_id":"2006.04678","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2006.04678","snapshot_observed_at":"2026-07-03T01:37:31.349429Z","title":"Primal wasserstein imita- tion learning.arXiv preprint arXiv:2006.04678","venue":null,"work_id":"f1bbf67c-0573-42ee-ab3e-97cedd6da567","year":2006},"citing_paper":{"arxiv_id":"2509.26627","last_updated":"2026-05-20T11:23:00Z","snapshot_observed_at":"2026-07-06T22:31:15.349221Z","submitted_at":"2025-09-30T17:58:20Z","title":"TimeRewarder: Learning Dense Reward from Passive Videos via Frame-wise Temporal Distance","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-21T21:57:15.285757Z"},"links":{"cited_paper":"/paper/2006.04678","citing_paper":"/paper/2509.26627"},"observation_digest":"sha256:bcaa703844d5bd711f57fa7cad3d385f7690ea3e810c4428061a04519cd0d259","observation_id":"e3e2db50-4835-4f94-aa4e-94135a9d6440","resolution":{"observed_at":"2026-05-21T22:00:41.936990Z","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":"2006.04678","last_updated":"2021-03-17T11:43:36Z","snapshot_observed_at":"2026-07-06T09:27:00.982430Z","submitted_at":"2020-06-08T15:30:11Z","title":"Primal Wasserstein Imitation Learning","version":2},"cited_work":{"arxiv_id":"2006.04678","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2006.04678","snapshot_observed_at":"2026-07-03T01:37:31.349429Z","title":"Primal wasserstein imita- tion learning.arXiv preprint arXiv:2006.04678","venue":null,"work_id":"f1bbf67c-0573-42ee-ab3e-97cedd6da567","year":2006},"citing_paper":{"arxiv_id":"2604.13788","last_updated":"2026-04-15T12:27:32Z","snapshot_observed_at":"2026-07-06T23:01:41.643335Z","submitted_at":"2026-04-15T12:27:32Z","title":"Failure Identification in Imitation Learning Via Statistical and Semantic Filtering","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-10T13:40:04.811242Z"},"links":{"cited_paper":"/paper/2006.04678","citing_paper":"/paper/2604.13788"},"observation_digest":"sha256:d1f0473e9b5053a1839807eba147dfd2f4a5a980be38f3fae99b0e0f723c15e1","observation_id":"c2660fe2-e6ff-4bf9-986e-1096839a1241","resolution":{"observed_at":"2026-05-10T13:40:26.575609Z","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":"2006.04678","last_updated":"2021-03-17T11:43:36Z","snapshot_observed_at":"2026-07-06T09:27:00.982430Z","submitted_at":"2020-06-08T15:30:11Z","title":"Primal Wasserstein Imitation Learning","version":2},"cited_work":{"arxiv_id":"2006.04678","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2006.04678","snapshot_observed_at":"2026-07-03T01:37:31.349429Z","title":"Primal wasserstein imita- tion learning.arXiv preprint arXiv:2006.04678","venue":null,"work_id":"f1bbf67c-0573-42ee-ab3e-97cedd6da567","year":2006},"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":25,"source":"pdf_text","source_observed_at":"2026-06-27T16:22:44.813127Z"},"links":{"cited_paper":"/paper/2006.04678","citing_paper":"/paper/2606.09381"},"observation_digest":"sha256:33d1950152ee7766b5c71a3790dd6691f4d75cd6230e2d42af906f9b53fd3ece","observation_id":"ba402668-8c7e-41c1-ae75-25b5fab4ef91","resolution":{"observed_at":"2026-07-03T01:37:31.351081Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2006.04678/citation-record","integrity":"/paper/2006.04678/integrity","json":"/paper/2006.04678/citation-record.json","paper":"/paper/2006.04678"},"outbound":[],"paper":{"arxiv_id":"2006.04678","last_updated":"2021-03-17T11:43:36Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T09:27:00.982430Z","submitted_at":"2020-06-08T15:30:11Z","title":"Primal Wasserstein 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":"2026-08-07T06:34:17.273281+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 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2006.04678."}