{"as_of":"2026-08-08T20:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2814cd3eed136a85c2706b4b1cd2f72e93f6c0990b8c9cc04b4cbda7b7411061","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":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":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:51:10.821947Z","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":"2026-08-07T04:13:33.994059Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.09655","last_updated":"2025-05-08T01:53:54Z","snapshot_observed_at":"2026-07-06T19:02:11.267510Z","submitted_at":"2024-08-19T02:30:37Z","title":"Contextual Bandits for Unbounded Context Distributions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.09655","snapshot_observed_at":"2026-08-07T13:51:10.821947Z","title":"Contextual bandits for unbounded context distributions","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.23809","last_updated":"2025-06-03T07:39:21Z","snapshot_observed_at":"2026-08-07T13:42:26.146563Z","submitted_at":"2025-05-27T08:40:11Z","title":"LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T13:51:10.821947Z"},"links":{"cited_paper":"/paper/2408.09655","citing_paper":"/paper/2505.23809"},"observation_digest":"sha256:450bf2a3a9fd7f029871f83b4665c789ab2ff211b86be7f0379208a428392d80","observation_id":"84cf21c9-33f4-47b7-89ad-4104f0f57083","resolution":{"observed_at":"2026-08-07T13:51:10.821947Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.09655","last_updated":"2025-05-08T01:53:54Z","snapshot_observed_at":"2026-07-06T19:02:11.267510Z","submitted_at":"2024-08-19T02:30:37Z","title":"Contextual Bandits for Unbounded Context Distributions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.09655","snapshot_observed_at":"2026-08-07T10:16:53.168491Z","title":"Contextual Bandits for Unbounded Context Distributions","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.05873","last_updated":"2025-06-06T08:41:33Z","snapshot_observed_at":"2026-08-07T19:36:47.937714Z","submitted_at":"2025-06-06T08:41:33Z","title":"Research on Personalized Financial Product Recommendation by Integrating Large Language Models and Graph Neural Networks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T10:16:53.168491Z"},"links":{"cited_paper":"/paper/2408.09655","citing_paper":"/paper/2506.05873"},"observation_digest":"sha256:59beee2435ad0b50f6b863ef7c28aecc6754c2950d28634933fccb0df31c1129","observation_id":"371f050b-ea65-493e-8fac-6e55dcae6894","resolution":{"observed_at":"2026-08-07T10:16:53.168491Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.09655","last_updated":"2025-05-08T01:53:54Z","snapshot_observed_at":"2026-07-06T19:02:11.267510Z","submitted_at":"2024-08-19T02:30:37Z","title":"Contextual Bandits for Unbounded Context Distributions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.09655","snapshot_observed_at":"2026-08-07T12:04:54.134270Z","title":"Contextual bandits for unbounded context distributions[J]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.06336","last_updated":"2025-05-31T19:17:48Z","snapshot_observed_at":"2026-08-08T00:03:48.913120Z","submitted_at":"2025-05-31T19:17:48Z","title":"Research on E-Commerce Long-Tail Product Recommendation Mechanism Based on Large-Scale Language Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T12:04:54.134270Z"},"links":{"cited_paper":"/paper/2408.09655","citing_paper":"/paper/2506.06336"},"observation_digest":"sha256:a1dabb8eed765598256ed705514575cf8cbe9edceb7ef1bff524947a324a9606","observation_id":"3418b96b-e471-41b7-ba3b-fe1dd1d743d5","resolution":{"observed_at":"2026-08-07T12:04:54.134270Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.09655","last_updated":"2025-05-08T01:53:54Z","snapshot_observed_at":"2026-07-06T19:02:11.267510Z","submitted_at":"2024-08-19T02:30:37Z","title":"Contextual Bandits for Unbounded Context Distributions","version":2},"cited_work":{"arxiv_id":"2408.09655","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.09655","snapshot_observed_at":"2026-08-07T04:13:33.994059Z","title":"Contextual Bandits for Unbounded Context Distributions","venue":"cs.LG","work_id":"081dbe73-983f-43d4-801d-ca589cc8d146","year":2024},"citing_paper":{"arxiv_id":"2506.11421","last_updated":"2025-08-13T15:18:09Z","snapshot_observed_at":"2026-08-07T04:07:23.347386Z","submitted_at":"2025-06-13T02:39:21Z","title":"Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T04:13:33.819557Z"},"links":{"cited_paper":"/paper/2408.09655","citing_paper":"/paper/2506.11421"},"observation_digest":"sha256:9a997f707413326738f8a6227f0cab5d8950310b827fae4cec1c1ae2d4f18bd7","observation_id":"06a084de-add7-469d-8f13-b4bb40d9c499","resolution":{"observed_at":"2026-08-07T04:13:34.072529Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2408.09655/citation-record","integrity":"/paper/2408.09655/integrity","json":"/paper/2408.09655/citation-record.json","paper":"/paper/2408.09655"},"outbound":[],"paper":{"arxiv_id":"2408.09655","last_updated":"2025-05-08T01:53:54Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T19:02:11.267510Z","submitted_at":"2024-08-19T02:30:37Z","title":"Contextual Bandits for Unbounded Context Distributions"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.09655."}