{"as_of":"2026-08-20T16:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d28f3b442984ec143c38fa4129b121403d721dd2de508264b972e3d32d918f53","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":"2026-08-20T06:33:59.587034+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":"2026-08-16T11:18:45.200037Z","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":"2026-08-06T15:30:42.271356Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.01281","last_updated":"2025-05-20T04:52:21Z","snapshot_observed_at":"2026-08-19T16:45:34.025232Z","submitted_at":"2025-04-02T01:16:10Z","title":"Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decoding","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.01281","snapshot_observed_at":"2026-08-16T11:18:45.200037Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2504.15909","last_updated":"2025-04-24T12:39:35Z","snapshot_observed_at":"2026-08-17T16:59:38.075315Z","submitted_at":"2025-04-22T13:55:13Z","title":"Synergizing RAG and Reasoning: A Systematic Review","version":2},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-16T11:18:45.200037Z"},"links":{"cited_paper":"/paper/2504.01281","citing_paper":"/paper/2504.15909"},"observation_digest":"sha256:6a89fc417136a6d4430e75cd224956524ef3667cf95f59449b1c0f564268e447","observation_id":"1ab7120a-5e85-4636-8ed1-09bef95bb101","resolution":{"observed_at":"2026-08-16T11:18:45.200037Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.01281","last_updated":"2025-05-20T04:52:21Z","snapshot_observed_at":"2026-08-19T16:45:34.025232Z","submitted_at":"2025-04-02T01:16:10Z","title":"Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decoding","version":3},"cited_work":{"arxiv_id":"2504.01281","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.01281","snapshot_observed_at":"2026-08-06T15:30:42.271356Z","title":"Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decoding","venue":"cs.LG","work_id":"d49ebabe-61c8-4917-937d-c5934ebef80c","year":2025},"citing_paper":{"arxiv_id":"2507.15759","last_updated":"2025-07-21T16:15:18Z","snapshot_observed_at":"2026-08-13T23:36:20.086860Z","submitted_at":"2025-07-21T16:15:18Z","title":"Interaction as Intelligence: Deep Research With Human-AI Partnership","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-08-06T15:30:41.236978Z"},"links":{"cited_paper":"/paper/2504.01281","citing_paper":"/paper/2507.15759"},"observation_digest":"sha256:29c348d747ecabff120cd048cb7b1a9afd68edfa1a2be8574be6d61cd84898d2","observation_id":"757e0aeb-e9ad-4c7c-ac32-d0a6c46cb809","resolution":{"observed_at":"2026-08-06T15:30:42.277271Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2504.01281/citation-record","integrity":"/paper/2504.01281/integrity","json":"/paper/2504.01281/citation-record.json","paper":"/paper/2504.01281"},"outbound":[],"paper":{"arxiv_id":"2504.01281","last_updated":"2025-05-20T04:52:21Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-19T16:45:34.025232Z","submitted_at":"2025-04-02T01:16:10Z","title":"Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decoding"},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.01281."}