{"as_of":"2026-08-09T16:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b4f8d6563c4cfe30d334cda87356580035bf724db775c3361a9c49a79af479ce","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":"2026-08-09T06:31:02.800959+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":"2026-08-02T08:56:26.277849Z","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":"2026-05-11T14:21:05.550342Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.15292","last_updated":"2024-12-19T07:20:03Z","snapshot_observed_at":"2026-08-05T23:36:55.439875Z","submitted_at":"2024-12-19T07:20:03Z","title":"Deep reinforcement learning with time-scale invariant memory","version":1},"cited_work":{"arxiv_id":"2412.15292","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.15292","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Deep reinforcement learning with time -scale invariant memory","venue":null,"work_id":"6cf5def3-c12a-41c8-8589-38efae34d198","year":2024},"citing_paper":{"arxiv_id":"2604.21464","last_updated":"2026-04-23T09:18:25Z","snapshot_observed_at":"2026-07-06T23:08:01.670049Z","submitted_at":"2026-04-23T09:18:25Z","title":"Dynamical Priors as a Training Objective in Reinforcement Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-09T22:01:21.826493Z"},"links":{"cited_paper":"/paper/2412.15292","citing_paper":"/paper/2604.21464"},"observation_digest":"sha256:112f8da827fc6f8da02019986dc9bce30da534957c6717fdf08cf18b86090a35","observation_id":"4b007fa9-f9c7-477d-9e98-c406e616fa68","resolution":{"observed_at":"2026-05-11T14:21:05.555777Z","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":"2412.15292","last_updated":"2024-12-19T07:20:03Z","snapshot_observed_at":"2026-08-05T23:36:55.439875Z","submitted_at":"2024-12-19T07:20:03Z","title":"Deep reinforcement learning with time-scale invariant memory","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15292","snapshot_observed_at":"2026-08-02T08:56:26.277849Z","title":"Proceedings of the AAAI Conference on Artificial Intelligence , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.24798","last_updated":"2026-07-03T14:49:15Z","snapshot_observed_at":"2026-08-06T16:46:23.842438Z","submitted_at":"2026-07-03T14:49:15Z","title":"Prediction Is Not Memory: Dual-Timescale Gated Profile Writing for Persistent User Modeling","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-02T08:56:26.277849Z"},"links":{"cited_paper":"/paper/2412.15292","citing_paper":"/paper/2607.24798"},"observation_digest":"sha256:9163d7bb76ba1aa7473713864cca2224f865f922a8944962f307723d6e06c3b7","observation_id":"d208c3d0-bc21-45fb-b089-fb92cdf99bd8","resolution":{"observed_at":"2026-08-02T08:56:26.277849Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2412.15292/citation-record","integrity":"/paper/2412.15292/integrity","json":"/paper/2412.15292/citation-record.json","paper":"/paper/2412.15292"},"outbound":[],"paper":{"arxiv_id":"2412.15292","last_updated":"2024-12-19T07:20:03Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-05T23:36:55.439875Z","submitted_at":"2024-12-19T07:20:03Z","title":"Deep reinforcement learning with time-scale invariant memory"},"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 2 inbound Pith citation observations for arXiv:2412.15292."}