{"as_of":"2026-08-16T19:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a7a2da2a7eac59001a9d1d502b3b1e81823dfceab278dbd4af9b5fdc6245f996","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":"2026-08-16T06:30:59.297886+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":"2026-08-16T04:12:58.164914Z","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":"2026-08-06T00:32:50.600323Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.17098","last_updated":"2024-05-27T12:12:39Z","snapshot_observed_at":"2026-08-16T13:49:04.706761Z","submitted_at":"2024-05-27T12:12:39Z","title":"Q-value Regularized Transformer for Offline Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17098","snapshot_observed_at":"2026-08-16T04:12:58.164914Z","title":"Q-value regularized transformer for offline reinforcement learning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.02010","last_updated":"2025-05-04T06:41:43Z","snapshot_observed_at":"2026-08-16T04:01:41.501689Z","submitted_at":"2025-05-04T06:41:43Z","title":"Meta-Black-Box-Optimization through Offline Q-function Learning","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-16T04:12:58.164914Z"},"links":{"cited_paper":"/paper/2405.17098","citing_paper":"/paper/2505.02010"},"observation_digest":"sha256:01faa3daea84148aca5b299794ebdf470bf6652093b79bb07e6813f008414bf4","observation_id":"53ed532d-424c-4a5f-892b-86071331d325","resolution":{"observed_at":"2026-08-16T04:12:58.164914Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17098","last_updated":"2024-05-27T12:12:39Z","snapshot_observed_at":"2026-08-16T13:49:04.706761Z","submitted_at":"2024-05-27T12:12:39Z","title":"Q-value Regularized Transformer for Offline Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17098","snapshot_observed_at":"2026-08-15T17:50:32.476494Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.20327","last_updated":"2025-08-17T04:33:11Z","snapshot_observed_at":"2026-08-16T07:27:38.201247Z","submitted_at":"2025-07-27T15:36:13Z","title":"TADT-CSA: Temporal Advantage Decision Transformer with Contrastive State Abstraction for Generative Recommendation","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-15T17:50:32.476494Z"},"links":{"cited_paper":"/paper/2405.17098","citing_paper":"/paper/2507.20327"},"observation_digest":"sha256:900b91bef871427a95c925a8dac218770c903dd4cdea541f75de092c07e86cd4","observation_id":"d9217a24-972a-44a9-807b-cb1ceba3f30b","resolution":{"observed_at":"2026-08-15T17:50:32.476494Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17098","last_updated":"2024-05-27T12:12:39Z","snapshot_observed_at":"2026-08-16T13:49:04.706761Z","submitted_at":"2024-05-27T12:12:39Z","title":"Q-value Regularized Transformer for Offline Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2405.17098","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.17098","snapshot_observed_at":"2026-08-06T00:32:50.600323Z","title":"Q-value Regularized Transformer for Offline Reinforcement Learning","venue":"cs.LG","work_id":"a9b04d70-7530-4c0b-b744-b6e562fa111a","year":2024},"citing_paper":{"arxiv_id":"2608.01205","last_updated":"2026-08-02T12:42:20Z","snapshot_observed_at":"2026-08-14T18:42:23.604803Z","submitted_at":"2026-08-02T12:42:20Z","title":"ReBRAC-v2: The Return of the King","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-06T00:32:39.434750Z"},"links":{"cited_paper":"/paper/2405.17098","citing_paper":"/paper/2608.01205"},"observation_digest":"sha256:e6f28189e2da75ad06356d1a85515c47eaf6d71f1a6080e8541041ecb61943c3","observation_id":"a55c75ea-3bd8-4b18-b862-1cdb3b77e738","resolution":{"observed_at":"2026-08-06T00:32:50.620183Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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"}}],"links":{"evidence":"/evidence","html":"/paper/2405.17098/citation-record","integrity":"/paper/2405.17098/integrity","json":"/paper/2405.17098/citation-record.json","paper":"/paper/2405.17098"},"outbound":[],"paper":{"arxiv_id":"2405.17098","last_updated":"2024-05-27T12:12:39Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T13:49:04.706761Z","submitted_at":"2024-05-27T12:12:39Z","title":"Q-value Regularized Transformer for Offline Reinforcement Learning"},"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 3 inbound Pith citation observations for arXiv:2405.17098."}