{"as_of":"2026-08-07T07:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:50e9360765799308a7b4f6445ab75124fcc84c8c16c3817fa07a3ecc192c73b3","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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":"2026-05-10T11:40:26.649975Z","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":"2026-05-10T11:50:21.042826Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.17879","last_updated":"2024-06-07T12:27:03Z","snapshot_observed_at":"2026-08-07T01:31:56.817966Z","submitted_at":"2024-05-28T06:57:22Z","title":"Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree","version":2},"cited_work":{"arxiv_id":"2405.17879","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.17879","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Resisting stochastic risks in diffusion planners with the trajectory ag- gregation tree","venue":null,"work_id":"0d64e65f-7344-45a6-ab88-1968e569e909","year":2024},"citing_paper":{"arxiv_id":"2604.15308","last_updated":"2026-04-16T17:59:44Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-16T17:59:44Z","title":"RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-10T11:40:26.649975Z"},"links":{"cited_paper":"/paper/2405.17879","citing_paper":"/paper/2604.15308"},"observation_digest":"sha256:4b7aa21dd99115d98a922d27ff9dcdbc9933c193215c176401137667ebfe0ba6","observation_id":"d07e678b-9544-4407-a69c-0161020672db","resolution":{"observed_at":"2026-05-10T11:50:21.045184Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2405.17879/citation-record","integrity":"/paper/2405.17879/integrity","json":"/paper/2405.17879/citation-record.json","paper":"/paper/2405.17879"},"outbound":[],"paper":{"arxiv_id":"2405.17879","last_updated":"2024-06-07T12:27:03Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T01:31:56.817966Z","submitted_at":"2024-05-28T06:57:22Z","title":"Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2405.17879."}