{"as_of":"2026-08-11T05:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:499a90036a455691eb6c935002f0d1424f799f8fef4a0453bbb3a62398d1d832","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T11:09:53.090831Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-10T11:09:53.290081Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1912.04002","last_updated":"2019-12-09T12:41:17Z","snapshot_observed_at":"2026-08-10T20:29:52.966996Z","submitted_at":"2019-12-09T12:41:17Z","title":"Learning Sparse Representations Incrementally in Deep Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"1912.04002","doi":null,"metadata_source":"pith","pith_arxiv_id":"1912.04002","snapshot_observed_at":"2026-08-10T11:09:53.290081Z","title":"Learning Sparse Representations Incrementally in Deep Reinforcement Learning","venue":"cs.LG","work_id":"dcdbe365-1392-4ed2-81dc-13bf4ac6245b","year":2019},"citing_paper":{"arxiv_id":"2501.16729","last_updated":"2025-02-01T06:43:04Z","snapshot_observed_at":"2026-08-10T20:29:50.224973Z","submitted_at":"2025-01-28T06:13:35Z","title":"On the Interplay Between Sparsity and Training in Deep Reinforcement Learning","version":2},"reference_index":2009,"source":"pdf_text","source_observed_at":"2026-08-10T11:09:53.090831Z"},"links":{"cited_paper":"/paper/1912.04002","citing_paper":"/paper/2501.16729"},"observation_digest":"sha256:95d0d1e6d7afd612f3c717afdf7dcfb5cb356fef815efa8249b46f669bea16ed","observation_id":"6ef124e3-d861-466a-bdd7-0813c8abde34","resolution":{"observed_at":"2026-08-10T11:09:53.295584Z","resolver_source":"local_arxiv","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":"1912.04002","last_updated":"2019-12-09T12:41:17Z","snapshot_observed_at":"2026-08-10T20:29:52.966996Z","submitted_at":"2019-12-09T12:41:17Z","title":"Learning Sparse Representations Incrementally in Deep Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.04002","snapshot_observed_at":"2026-08-04T09:47:58.466503Z","title":"Learning sparse representations incrementally in deep reinforcement learning","venue":null,"work_id":null,"year":1912},"citing_paper":{"arxiv_id":"2510.13704","last_updated":"2026-06-03T03:31:14Z","snapshot_observed_at":"2026-08-04T09:47:43.934006Z","submitted_at":"2025-10-15T16:01:30Z","title":"Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents","version":2},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-04T09:47:58.466503Z"},"links":{"cited_paper":"/paper/1912.04002","citing_paper":"/paper/2510.13704"},"observation_digest":"sha256:97bcd01749017fef9074158fae324591dfcd083ba910aa8636ee8cd7e99a4540","observation_id":"52d8f243-8dde-4de3-9c9f-e0e7f8e4fca4","resolution":{"observed_at":"2026-08-04T09:47:58.466503Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1912.04002/citation-record","integrity":"/paper/1912.04002/integrity","json":"/paper/1912.04002/citation-record.json","paper":"/paper/1912.04002"},"outbound":[],"paper":{"arxiv_id":"1912.04002","last_updated":"2019-12-09T12:41:17Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-10T20:29:52.966996Z","submitted_at":"2019-12-09T12:41:17Z","title":"Learning Sparse Representations Incrementally in Deep Reinforcement 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 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1912.04002."}