{"as_of":"2026-08-12T08:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:38f694bc1245a16a547813804df9b08eb9e3fb4460d2266a71cf9a02f0c32b6e","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-30T09:55:19.804589Z","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":"2026-07-04T18:30:01.557405Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2304.12877","last_updated":"2023-04-25T14:49:34Z","snapshot_observed_at":"2026-08-08T18:35:34.296107Z","submitted_at":"2023-04-25T14:49:34Z","title":"Proximal Curriculum for Reinforcement Learning Agents","version":1},"cited_work":{"arxiv_id":"2304.12877","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.12877","snapshot_observed_at":"2026-07-04T18:30:01.557405Z","title":"Proximal curriculum for reinforcement learning agents","venue":null,"work_id":"3ce922ea-609e-413a-8854-eaf2fe8de7ab","year":2023},"citing_paper":{"arxiv_id":"2502.12272","last_updated":"2026-04-30T11:57:30Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-17T19:16:37Z","title":"Learning to Reason at the Frontier of Learnability","version":6},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-23T02:41:21.571824Z"},"links":{"cited_paper":"/paper/2304.12877","citing_paper":"/paper/2502.12272"},"observation_digest":"sha256:e1d12e10b9244b72799808208c8e89a7e47e52e2b7a6728412d6f2e9c7f3465a","observation_id":"f494981d-ec13-4c91-babe-835993ab72ce","resolution":{"observed_at":"2026-05-23T02:42:26.073171Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.12877","last_updated":"2023-04-25T14:49:34Z","snapshot_observed_at":"2026-08-08T18:35:34.296107Z","submitted_at":"2023-04-25T14:49:34Z","title":"Proximal Curriculum for Reinforcement Learning Agents","version":1},"cited_work":{"arxiv_id":"2304.12877","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.12877","snapshot_observed_at":"2026-07-04T18:30:01.557405Z","title":"Proximal curriculum for reinforcement learning agents","venue":null,"work_id":"3ce922ea-609e-413a-8854-eaf2fe8de7ab","year":2023},"citing_paper":{"arxiv_id":"2606.25178","last_updated":"2026-06-27T02:34:55Z","snapshot_observed_at":"2026-08-10T23:29:37.651575Z","submitted_at":"2026-06-23T21:10:29Z","title":"Transferability for General Reasoning: An Automated Curriculum for Multi-Domain RLVR","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-06-25T22:47:09.330723Z"},"links":{"cited_paper":"/paper/2304.12877","citing_paper":"/paper/2606.25178"},"observation_digest":"sha256:f9e9419b5a02ee06572419ae0e4877047be2a35828ef7a1f974bcc954da076ff","observation_id":"28d17f0b-e7b1-421e-8a32-d94eff4bf878","resolution":{"observed_at":"2026-07-04T18:30:01.558975Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.12877","last_updated":"2023-04-25T14:49:34Z","snapshot_observed_at":"2026-08-08T18:35:34.296107Z","submitted_at":"2023-04-25T14:49:34Z","title":"Proximal Curriculum for Reinforcement Learning Agents","version":1},"cited_work":{"arxiv_id":"2304.12877","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.12877","snapshot_observed_at":"2026-07-04T18:30:01.557405Z","title":"Proximal curriculum for reinforcement learning agents","venue":null,"work_id":"3ce922ea-609e-413a-8854-eaf2fe8de7ab","year":2023},"citing_paper":{"arxiv_id":"2606.25178","last_updated":"2026-06-27T02:34:55Z","snapshot_observed_at":"2026-08-10T23:29:37.651575Z","submitted_at":"2026-06-23T21:10:29Z","title":"Transferability for General Reasoning: An Automated Curriculum for Multi-Domain RLVR","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-06-30T09:55:19.804589Z"},"links":{"cited_paper":"/paper/2304.12877","citing_paper":"/paper/2606.25178"},"observation_digest":"sha256:a70fc0eae3014db2fb3c3b2f548bdaca07ea1f6783f95a68825a96ad9694bfd0","observation_id":"cc97a9c2-9ffe-44e0-86f3-9a5efa503ca7","resolution":{"observed_at":"2026-06-30T12:54:40.449446Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2304.12877/citation-record","integrity":"/paper/2304.12877/integrity","json":"/paper/2304.12877/citation-record.json","paper":"/paper/2304.12877"},"outbound":[],"paper":{"arxiv_id":"2304.12877","last_updated":"2023-04-25T14:49:34Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-08T18:35:34.296107Z","submitted_at":"2023-04-25T14:49:34Z","title":"Proximal Curriculum for Reinforcement Learning Agents"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2304.12877."}