{"as_of":"2026-08-05T22:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:132e61456aa656ea37b7c2ba11a184f5d6b50ee316ffc329c17f2aea5d1c8121","coverage":[{"denominator":3,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-30T21:40:35.352456Z","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":"2026-08-05T06:32:48.257954+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-26T09:02:13.340365Z","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":"2026-07-04T10:19:47.089780Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2605.13230","last_updated":"2026-05-28T10:13:36Z","snapshot_observed_at":"2026-08-05T08:58:23.481391Z","submitted_at":"2026-05-13T09:20:03Z","title":"Teacher-Guided Policy Optimization for On-Policy Reasoning Distillation under Large Policy Divergence","version":2},"cited_work":{"arxiv_id":"2605.13230","doi":null,"metadata_source":"pith","pith_arxiv_id":"2605.13230","snapshot_observed_at":"2026-07-04T10:19:47.089780Z","title":"Teacher-Guided Policy Optimization for On-Policy Reasoning Distillation under Large Policy Divergence","venue":"cs.LG","work_id":"ba2ed3a3-2c03-4645-a563-7d3889d4f95c","year":2026},"citing_paper":{"arxiv_id":"2606.22793","last_updated":"2026-06-22T03:09:21Z","snapshot_observed_at":"2026-07-06T23:57:38.036151Z","submitted_at":"2026-06-22T03:09:21Z","title":"A Formula-Driven Survey and Research Agenda for On-Policy Distillation","version":1},"reference_index":103,"source":"arxiv_source","source_observed_at":"2026-06-26T09:02:13.340365Z"},"links":{"cited_paper":"/paper/2605.13230","citing_paper":"/paper/2606.22793"},"observation_digest":"sha256:5b83f96d042fb52a2631848cf6609aa61e341cb48bc6de985b8bfca30939a770","observation_id":"dd24189c-5ee3-4ea7-a349-00938aeccf5d","resolution":{"observed_at":"2026-07-04T10:19:47.090950Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2605.13230/citation-record","integrity":"/paper/2605.13230/integrity","json":"/paper/2605.13230/citation-record.json","paper":"/paper/2605.13230"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.12599","last_updated":"2025-06-03T02:14:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-22T02:48:14Z","title":"Kimi k1.5: Scaling Reinforcement Learning with LLMs","version":4},"cited_work":{"arxiv_id":"2501.12599","doi":"10.48550/arxiv.2501.12599","metadata_source":"pith","pith_arxiv_id":"2501.12599","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Kimi k1.5: Scaling Reinforcement Learning with LLMs","venue":"cs.AI","work_id":"bff96ab1-bd6a-4585-be23-74fdb51969c7","year":2025},"citing_paper":{"arxiv_id":"2605.13230","last_updated":"2026-05-28T10:13:36Z","snapshot_observed_at":"2026-08-05T08:58:23.481391Z","submitted_at":"2026-05-13T09:20:03Z","title":"Teacher-Guided Policy Optimization for On-Policy Reasoning Distillation under Large Policy Divergence","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-30T21:40:35.352456Z"},"links":{"cited_paper":"/paper/2501.12599","citing_paper":"/paper/2605.13230"},"observation_digest":"sha256:21e23458dd36bbc6636ce3fb6421b9eb829ef514d8c1f58f8a9a29be2f0aa333","observation_id":"33ecf086-7e61-457a-94ae-77ae915cdb95","resolution":{"observed_at":"2026-07-01T14:25:46.075949Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-07-09T10:48:38.585868+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-09T10:48:38.585868+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2601.02780","last_updated":"2026-01-08T05:52:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-01-06T07:31:47Z","title":"MiMo-V2-Flash Technical Report","version":2},"cited_work":{"arxiv_id":"2601.02780","doi":"10.48550/arxiv.2601.02780","metadata_source":"pith","pith_arxiv_id":"2601.02780","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"MiMo-V2-Flash Technical Report","venue":"cs.CL","work_id":"1f3df90c-4bc3-49b1-ad9b-7f3b34e4ffba","year":2026},"citing_paper":{"arxiv_id":"2605.13230","last_updated":"2026-05-28T10:13:36Z","snapshot_observed_at":"2026-08-05T08:58:23.481391Z","submitted_at":"2026-05-13T09:20:03Z","title":"Teacher-Guided Policy Optimization for On-Policy Reasoning Distillation under Large Policy Divergence","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-30T21:40:35.352456Z"},"links":{"cited_paper":"/paper/2601.02780","citing_paper":"/paper/2605.13230"},"observation_digest":"sha256:5e55ef355614fffd25d2c42e5d2bb4cd04222ecf0c282bc4d54664b1a3922c29","observation_id":"ff0b5ac5-51da-4593-8c40-71a4454950d8","resolution":{"observed_at":"2026-07-01T14:25:46.075530Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-23T10:52:49.766877+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T10:52:49.766877+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2601.18734","last_updated":"2026-03-20T15:40:19Z","snapshot_observed_at":"2026-08-05T07:13:28.092224Z","submitted_at":"2026-01-26T17:56:50Z","title":"Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models","version":3},"cited_work":{"arxiv_id":"2601.18734","doi":"10.18653/v1/2025.emnlp-main.125.https://aclanthology.org/2025.emnlp-main.125/","metadata_source":"pith","pith_arxiv_id":"2601.18734","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models","venue":"cs.LG","work_id":"bae00e84-9b0d-433d-a066-20b951f0b4d0","year":2026},"citing_paper":{"arxiv_id":"2605.13230","last_updated":"2026-05-28T10:13:36Z","snapshot_observed_at":"2026-08-05T08:58:23.481391Z","submitted_at":"2026-05-13T09:20:03Z","title":"Teacher-Guided Policy Optimization for On-Policy Reasoning Distillation under Large Policy Divergence","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-30T21:40:35.352456Z"},"links":{"cited_paper":"/paper/2601.18734","citing_paper":"/paper/2605.13230"},"observation_digest":"sha256:b953596751e8967dac1984300f255b989282ccb89330e2f1d1f419cc28a07f9b","observation_id":"0c9f348f-1aa4-44b6-a05c-7892bf7582d3","resolution":{"observed_at":"2026-07-01T14:25:46.073496Z","resolver_source":"local_arxiv","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.13230","last_updated":"2026-05-28T10:13:36Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-05T08:58:23.481391Z","submitted_at":"2026-05-13T09:20:03Z","title":"Teacher-Guided Policy Optimization for On-Policy Reasoning Distillation under Large Policy Divergence"},"reference_resolution":{"displayed":3,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":0,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":3},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 1 inbound Pith citation observation for arXiv:2605.13230."}