{"as_of":"2026-08-09T03:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c70a0cb835ecb36c586d3ba4b19cb3caba846820d7cbcfd48625b7bfc13effc0","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T23:17:52.930033Z","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":"2026-05-19T09:17:14.083544Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2111.00210","last_updated":"2021-12-12T04:24:08Z","snapshot_observed_at":"2026-07-06T12:03:42.294180Z","submitted_at":"2021-10-30T09:13:39Z","title":"Mastering Atari Games with Limited Data","version":2},"cited_work":{"arxiv_id":"2111.00210","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2111.00210","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Mastering Atari games with limited data","venue":null,"work_id":"f5547f77-eb97-4f72-9925-97d16c2d0931","year":2021},"citing_paper":{"arxiv_id":"2506.10137","last_updated":"2026-04-19T14:49:08Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-06-11T19:32:41Z","title":"Self-Predictive Representations for Combinatorial Generalization in Behavioral Cloning","version":3},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-19T09:15:45.511104Z"},"links":{"cited_paper":"/paper/2111.00210","citing_paper":"/paper/2506.10137"},"observation_digest":"sha256:8539f9b6676f18f88d7defa9542c2e09f1a9c8f998b45e9a02f64f53d640b20e","observation_id":"3a3aecfb-b37b-4851-9d85-e0e1d2b7c524","resolution":{"observed_at":"2026-05-19T09:17:14.088501Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.00210","last_updated":"2021-12-12T04:24:08Z","snapshot_observed_at":"2026-07-06T12:03:42.294180Z","submitted_at":"2021-10-30T09:13:39Z","title":"Mastering Atari Games with Limited Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.00210","snapshot_observed_at":"2026-08-04T23:17:52.930033Z","title":"Mastering atari games with limited data,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.06714","last_updated":"2025-09-08T14:09:33Z","snapshot_observed_at":"2026-08-06T16:13:38.071970Z","submitted_at":"2025-09-08T14:09:33Z","title":"RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T23:17:52.930033Z"},"links":{"cited_paper":"/paper/2111.00210","citing_paper":"/paper/2509.06714"},"observation_digest":"sha256:4b0c25bea432024bbc1b34f98bc9814d708da9f25eafed4231a1b90d233e0c46","observation_id":"4c6c90fd-7ab9-4913-afb6-a314dfb57db7","resolution":{"observed_at":"2026-08-04T23:17:52.930033Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.00210","last_updated":"2021-12-12T04:24:08Z","snapshot_observed_at":"2026-07-06T12:03:42.294180Z","submitted_at":"2021-10-30T09:13:39Z","title":"Mastering Atari Games with Limited Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.00210","snapshot_observed_at":"2026-08-04T16:58:12.995957Z","title":"We ran experiments in a MiniGrid3×3environment with two lava tiles and a5×5envi- ronment with four lava tiles","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.11233","last_updated":"2025-09-14T12:20:38Z","snapshot_observed_at":"2026-08-08T02:03:50.303567Z","submitted_at":"2025-09-14T12:20:38Z","title":"TransZero: Parallel Tree Expansion in MuZero using Transformer Networks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T16:58:12.995957Z"},"links":{"cited_paper":"/paper/2111.00210","citing_paper":"/paper/2509.11233"},"observation_digest":"sha256:051538c2ccafcf02aa2b9e8320003a143df8f7793449eb94907893dc7fc53727","observation_id":"1035d515-0ad5-4e1a-ba4b-5a59695ffcd6","resolution":{"observed_at":"2026-08-04T16:58:12.995957Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.00210","last_updated":"2021-12-12T04:24:08Z","snapshot_observed_at":"2026-07-06T12:03:42.294180Z","submitted_at":"2021-10-30T09:13:39Z","title":"Mastering Atari Games with Limited Data","version":2},"cited_work":{"arxiv_id":"2111.00210","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2111.00210","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Mastering Atari games with limited data","venue":null,"work_id":"f5547f77-eb97-4f72-9925-97d16c2d0931","year":2021},"citing_paper":{"arxiv_id":"2605.01694","last_updated":"2026-05-03T03:19:42Z","snapshot_observed_at":"2026-07-06T23:14:52.417213Z","submitted_at":"2026-05-03T03:19:42Z","title":"Latent State Design for World Models under Sufficiency Constraints","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-05-10T15:55:31.825583Z"},"links":{"cited_paper":"/paper/2111.00210","citing_paper":"/paper/2605.01694"},"observation_digest":"sha256:63a9465394464bee86dbca4f646ee11fb3c932e05a08be638e62fbb168653334","observation_id":"bde0b20e-b4be-430a-9665-34a003054ef0","resolution":{"observed_at":"2026-05-11T09:36:04.450366Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.00210","last_updated":"2021-12-12T04:24:08Z","snapshot_observed_at":"2026-07-06T12:03:42.294180Z","submitted_at":"2021-10-30T09:13:39Z","title":"Mastering Atari Games with Limited Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.00210","snapshot_observed_at":"2026-07-30T16:13:36.605308Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.26946","last_updated":"2026-07-29T14:15:29Z","snapshot_observed_at":"2026-08-06T07:38:34.566865Z","submitted_at":"2026-07-29T14:15:29Z","title":"Belief-Guided Decision Making with Uncertainty Gating in the Game of Go","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-30T16:13:36.605308Z"},"links":{"cited_paper":"/paper/2111.00210","citing_paper":"/paper/2607.26946"},"observation_digest":"sha256:77ed13cd1b76404f8ebd01629541b6bea53eb73be2e5c76fb1078fa71f775e83","observation_id":"adad86c0-e889-4bee-9dcd-8fbd9c0d94c8","resolution":{"observed_at":"2026-07-30T16:13:36.605308Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.00210","last_updated":"2021-12-12T04:24:08Z","snapshot_observed_at":"2026-07-06T12:03:42.294180Z","submitted_at":"2021-10-30T09:13:39Z","title":"Mastering Atari Games with Limited Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.00210","snapshot_observed_at":"2026-08-04T19:45:35.401052Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.01851","last_updated":"2026-08-03T07:58:35Z","snapshot_observed_at":"2026-08-07T23:22:57.641630Z","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":289,"source":"pdf_text","source_observed_at":"2026-08-04T19:45:35.401052Z"},"links":{"cited_paper":"/paper/2111.00210","citing_paper":"/paper/2608.01851"},"observation_digest":"sha256:f6d9caf2363d355f4f10b4e195d0e1a0d8f82e50a6053b53aaf2bc5b965a7e47","observation_id":"2a08c1d0-a830-4317-8b6e-3850e0c6debb","resolution":{"observed_at":"2026-08-04T19:45:35.401052Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2111.00210/citation-record","integrity":"/paper/2111.00210/integrity","json":"/paper/2111.00210/citation-record.json","paper":"/paper/2111.00210"},"outbound":[],"paper":{"arxiv_id":"2111.00210","last_updated":"2021-12-12T04:24:08Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T12:03:42.294180Z","submitted_at":"2021-10-30T09:13:39Z","title":"Mastering Atari Games with Limited Data"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2111.00210."}