{"as_of":"2026-08-16T17:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:755625068bf3137e7c0d98779d8987223300d2457487e1a2b70516f91becd781","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":"2026-08-16T06:30:59.297886+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":"2026-08-15T16:44:36.584243Z","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":"2026-05-16T23:57:02.724613Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1806.05780","last_updated":"2019-09-05T02:31:13Z","snapshot_observed_at":"2026-08-14T19:03:27.034761Z","submitted_at":"2018-06-15T01:35:03Z","title":"Surprising Negative Results for Generative Adversarial Tree Search","version":4},"cited_work":{"arxiv_id":"1806.05780","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1806.05780","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Lipton, and Animashree Anandkumar","venue":null,"work_id":"89d8a872-e25f-4e79-971e-9aad2c2d136a","year":2018},"citing_paper":{"arxiv_id":"1911.08265","last_updated":"2020-02-21T18:05:30Z","snapshot_observed_at":"2026-08-13T20:33:12.542690Z","submitted_at":"2019-11-19T13:58:52Z","title":"Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-16T23:57:02.653534Z"},"links":{"cited_paper":"/paper/1806.05780","citing_paper":"/paper/1911.08265"},"observation_digest":"sha256:e2f94ff17b3cdc2f6bc955d3a38e1bc38b3615ad37e8751d6e68cbdadd54e8f9","observation_id":"f67b3ed9-2b9a-4e02-8ee7-3ffa90927141","resolution":{"observed_at":"2026-05-16T23:57:02.726748Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1806.05780","last_updated":"2019-09-05T02:31:13Z","snapshot_observed_at":"2026-08-14T19:03:27.034761Z","submitted_at":"2018-06-15T01:35:03Z","title":"Surprising Negative Results for Generative Adversarial Tree Search","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.05780","snapshot_observed_at":"2026-08-15T16:44:36.584243Z","title":"Azizzadenesheli, B","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.02528","last_updated":"2025-09-02T17:29:23Z","snapshot_observed_at":"2026-08-16T10:16:08.030860Z","submitted_at":"2025-09-02T17:29:23Z","title":"Is RL fine-tuning harder than regression? A PDE learning approach for diffusion models","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-15T16:44:36.584243Z"},"links":{"cited_paper":"/paper/1806.05780","citing_paper":"/paper/2509.02528"},"observation_digest":"sha256:67595ee79912aaca01e3b9214ff6f8325bc3a72503d0839684599681dd8cd2e9","observation_id":"2e81c948-05bc-48b6-a9c7-f80e217370dd","resolution":{"observed_at":"2026-08-15T16:44:36.584243Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1806.05780/citation-record","integrity":"/paper/1806.05780/integrity","json":"/paper/1806.05780/citation-record.json","paper":"/paper/1806.05780"},"outbound":[],"paper":{"arxiv_id":"1806.05780","last_updated":"2019-09-05T02:31:13Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-14T19:03:27.034761Z","submitted_at":"2018-06-15T01:35:03Z","title":"Surprising Negative Results for Generative Adversarial Tree Search"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1806.05780."}