{"as_of":"2026-08-13T23:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a764e0ffb1b0b885888e8ae9dee259b9029d4e27bb7897d2d92b645f60964ff9","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":"2026-08-13T06:32:02.005865+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":"2026-08-06T20:45:12.759929Z","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":"2026-05-20T22:29:09.366507Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.04846","last_updated":"2025-05-07T22:50:23Z","snapshot_observed_at":"2026-08-07T15:48:59.213035Z","submitted_at":"2025-05-07T22:50:23Z","title":"HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.04846","snapshot_observed_at":"2026-08-06T20:45:12.759929Z","title":"Hiperrag: High-performance retrieval augmented generation for scientific insights.arXiv preprint arXiv:2505.04846, Jun 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.01903","last_updated":"2025-08-05T16:19:40Z","snapshot_observed_at":"2026-08-08T04:30:09.801268Z","submitted_at":"2025-07-02T17:19:20Z","title":"AI4Research: A Survey of Artificial Intelligence for Scientific Research","version":2},"reference_index":244,"source":"pdf_text","source_observed_at":"2026-08-06T20:45:12.759929Z"},"links":{"cited_paper":"/paper/2505.04846","citing_paper":"/paper/2507.01903"},"observation_digest":"sha256:9d8727a80dbccacbde4b0d2a104418b8fd75e4a2b24b3a629d067a7c56eab02e","observation_id":"52a3747a-3ee1-4785-a22a-ccff096c74ca","resolution":{"observed_at":"2026-08-06T20:45:12.759929Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.04846","last_updated":"2025-05-07T22:50:23Z","snapshot_observed_at":"2026-08-07T15:48:59.213035Z","submitted_at":"2025-05-07T22:50:23Z","title":"HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.04846","snapshot_observed_at":"2026-08-06T20:19:43.070661Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.03241","last_updated":"2025-07-04T01:18:08Z","snapshot_observed_at":"2026-08-12T01:21:28.351895Z","submitted_at":"2025-07-04T01:18:08Z","title":"KinyaColBERT: A Lexically Grounded Retrieval Model for Low-Resource Retrieval-Augmented Generation","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T20:19:43.070661Z"},"links":{"cited_paper":"/paper/2505.04846","citing_paper":"/paper/2507.03241"},"observation_digest":"sha256:e1b9261b4fb16d350ebe9fb10fb57f01ebfee9238b6ebc0e039eca552ed79b77","observation_id":"9866f486-2d53-4d25-8def-10b67245a18b","resolution":{"observed_at":"2026-08-06T20:19:43.070661Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.04846","last_updated":"2025-05-07T22:50:23Z","snapshot_observed_at":"2026-08-07T15:48:59.213035Z","submitted_at":"2025-05-07T22:50:23Z","title":"HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights","version":1},"cited_work":{"arxiv_id":"2505.04846","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.04846","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"aea6dd41-c75f-44a3-948e-32c30e4f93f4","year":2025},"citing_paper":{"arxiv_id":"2605.16347","last_updated":"2026-05-08T03:54:45Z","snapshot_observed_at":"2026-08-12T22:04:51.507800Z","submitted_at":"2026-05-08T03:54:45Z","title":"HPC-LLM: Practical Domain Adaptation and Retrieval-Augmented Generation for HPC Support","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-20T22:27:03.128590Z"},"links":{"cited_paper":"/paper/2505.04846","citing_paper":"/paper/2605.16347"},"observation_digest":"sha256:a4784d6ef415e19d7a5d921cf2debd29022147aab5093962927a4ad4caf7c4ca","observation_id":"f66aa4a4-7018-41ab-81a3-4a9fa5203fae","resolution":{"observed_at":"2026-05-20T22:29:09.369456Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.04846/citation-record","integrity":"/paper/2505.04846/integrity","json":"/paper/2505.04846/citation-record.json","paper":"/paper/2505.04846"},"outbound":[],"paper":{"arxiv_id":"2505.04846","last_updated":"2025-05-07T22:50:23Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-07T15:48:59.213035Z","submitted_at":"2025-05-07T22:50:23Z","title":"HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2505.04846."}