{"as_of":"2026-08-09T09:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:81516c2fa89d4c9334ae830d25f1b6cceff78848bacdacd3e96336c9d52f46ef","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":"2026-08-09T06:31:02.800959+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":"2026-08-06T18:08:32.686334Z","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":"2026-07-03T01:37:31.249782Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.05676","last_updated":"2024-03-08T21:09:20Z","snapshot_observed_at":"2026-08-01T15:22:40.277705Z","submitted_at":"2024-03-08T21:09:20Z","title":"PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design","version":1},"cited_work":{"arxiv_id":"2403.05676","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.05676","snapshot_observed_at":"2026-07-03T01:37:31.249782Z","title":"CoRR abs/2403.05676 (2024)","venue":null,"work_id":"c1e8e3c9-65f2-41ee-ae39-cce36f96b0bd","year":2024},"citing_paper":{"arxiv_id":"2404.10981","last_updated":"2024-08-23T00:17:02Z","snapshot_observed_at":"2026-07-06T18:01:18.745347Z","submitted_at":"2024-04-17T01:27:42Z","title":"A Survey on Retrieval-Augmented Text Generation for Large Language Models","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-05-24T02:15:05.379583Z"},"links":{"cited_paper":"/paper/2403.05676","citing_paper":"/paper/2404.10981"},"observation_digest":"sha256:3340fcacc73c3b287c1089ca1060a31311e70d4900348515d258444c971d3b67","observation_id":"a8e38d75-c03c-4ac7-87bd-9ae13e33b887","resolution":{"observed_at":"2026-05-24T02:15:55.458237Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05676","last_updated":"2024-03-08T21:09:20Z","snapshot_observed_at":"2026-08-01T15:22:40.277705Z","submitted_at":"2024-03-08T21:09:20Z","title":"PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design","version":1},"cited_work":{"arxiv_id":"2403.05676","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.05676","snapshot_observed_at":"2026-07-03T01:37:31.249782Z","title":"CoRR abs/2403.05676 (2024)","venue":null,"work_id":"c1e8e3c9-65f2-41ee-ae39-cce36f96b0bd","year":2024},"citing_paper":{"arxiv_id":"2407.13193","last_updated":"2026-05-19T15:04:52Z","snapshot_observed_at":"2026-07-06T18:48:16.629078Z","submitted_at":"2024-07-18T06:06:53Z","title":"Retrieval-Augmented Generation for Natural Language Processing: A Survey","version":4},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-05-23T23:06:41.081461Z"},"links":{"cited_paper":"/paper/2403.05676","citing_paper":"/paper/2407.13193"},"observation_digest":"sha256:629d8fe508b900340dfce988367e3bd621c87d66930d3a44f1601dacf14cc58e","observation_id":"8f34abb9-e96d-4439-beaf-e81e20efe4bd","resolution":{"observed_at":"2026-05-23T23:08:35.548769Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05676","last_updated":"2024-03-08T21:09:20Z","snapshot_observed_at":"2026-08-01T15:22:40.277705Z","submitted_at":"2024-03-08T21:09:20Z","title":"PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05676","snapshot_observed_at":"2026-08-06T18:08:32.686334Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.09138","last_updated":"2025-07-12T04:42:43Z","snapshot_observed_at":"2026-08-07T07:03:50.116606Z","submitted_at":"2025-07-12T04:42:43Z","title":"HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T18:08:32.686334Z"},"links":{"cited_paper":"/paper/2403.05676","citing_paper":"/paper/2507.09138"},"observation_digest":"sha256:8c459d5e8ce03ad9f3b1a2199956241e143641ed0634fb1ded91ebdd2ace8518","observation_id":"1d756630-5985-4b91-913e-9c2a02d991c6","resolution":{"observed_at":"2026-08-06T18:08:32.686334Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05676","last_updated":"2024-03-08T21:09:20Z","snapshot_observed_at":"2026-08-01T15:22:40.277705Z","submitted_at":"2024-03-08T21:09:20Z","title":"PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design","version":1},"cited_work":{"arxiv_id":"2403.05676","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.05676","snapshot_observed_at":"2026-07-03T01:37:31.249782Z","title":"CoRR abs/2403.05676 (2024)","venue":null,"work_id":"c1e8e3c9-65f2-41ee-ae39-cce36f96b0bd","year":2024},"citing_paper":{"arxiv_id":"2606.09441","last_updated":"2026-06-08T12:50:13Z","snapshot_observed_at":"2026-08-03T04:43:09.780812Z","submitted_at":"2026-06-08T12:50:13Z","title":"SIFT: Selective-Index For Fast Compute of RAG Prefill by Exploiting Attention Invariance","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-27T16:24:31.109508Z"},"links":{"cited_paper":"/paper/2403.05676","citing_paper":"/paper/2606.09441"},"observation_digest":"sha256:50d8bbda52e811dd0cd319f3953c775ab144fe385fa06e83f8e33c324dc9afb9","observation_id":"7d78e725-485f-4386-bae5-ed895992966a","resolution":{"observed_at":"2026-07-03T01:37:31.251401Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2403.05676/citation-record","integrity":"/paper/2403.05676/integrity","json":"/paper/2403.05676/citation-record.json","paper":"/paper/2403.05676"},"outbound":[],"paper":{"arxiv_id":"2403.05676","last_updated":"2024-03-08T21:09:20Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-01T15:22:40.277705Z","submitted_at":"2024-03-08T21:09:20Z","title":"PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.05676."}