{"as_of":"2026-08-15T21:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ff35a27d68c834b81c39b04167aca9d864f473d1b48c762b65fcaef1dc9e4f02","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":"2026-08-15T06:32:42.880941+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":"2026-08-15T15:56:21.604893Z","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":"2026-05-24T05:13:56.856662Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.19912","last_updated":"2023-05-31T14:45:25Z","snapshot_observed_at":"2026-08-15T01:37:08.865159Z","submitted_at":"2023-05-31T14:45:25Z","title":"Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data","version":1},"cited_work":{"arxiv_id":"2305.19912","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.19912","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Structure- aware language model pretraining improves dense retrieval on struc- tured data","venue":null,"work_id":"879f2f8e-9da6-42fe-ac96-35cd173e7b30","year":2023},"citing_paper":{"arxiv_id":"2312.10997","last_updated":"2024-03-27T09:16:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-18T07:47:33Z","title":"Retrieval-Augmented Generation for Large Language Models: A Survey","version":5},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-05-24T05:10:25.171044Z"},"links":{"cited_paper":"/paper/2305.19912","citing_paper":"/paper/2312.10997"},"observation_digest":"sha256:dede7c71ba7ecc431a5cc7d4732490270dd18d60a680f75d784cac3a442f5f50","observation_id":"44152f23-ba88-43ec-b6b0-12c588fc7a80","resolution":{"observed_at":"2026-05-24T05:13:56.859760Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.19912","last_updated":"2023-05-31T14:45:25Z","snapshot_observed_at":"2026-08-15T01:37:08.865159Z","submitted_at":"2023-05-31T14:45:25Z","title":"Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.19912","snapshot_observed_at":"2026-08-11T13:04:20.157883Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.13582","last_updated":"2024-12-18T08:04:57Z","snapshot_observed_at":"2026-08-12T16:05:46.582881Z","submitted_at":"2024-12-18T08:04:57Z","title":"EvoWiki: Evaluating LLMs on Evolving Knowledge","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:20.157883Z"},"links":{"cited_paper":"/paper/2305.19912","citing_paper":"/paper/2412.13582"},"observation_digest":"sha256:b9933184b38950110ae555bf9afd9bc0fd69120ce9862e9e5bdcdf5aeda8d887","observation_id":"54958c8b-0cba-4544-b9dc-01ed3ac504cf","resolution":{"observed_at":"2026-08-11T13:04:20.157883Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.19912","last_updated":"2023-05-31T14:45:25Z","snapshot_observed_at":"2026-08-15T01:37:08.865159Z","submitted_at":"2023-05-31T14:45:25Z","title":"Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.19912","snapshot_observed_at":"2026-08-10T21:30:51.740527Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.04652","last_updated":"2025-07-16T21:23:37Z","snapshot_observed_at":"2026-08-14T13:29:44.104827Z","submitted_at":"2025-01-08T18:05:30Z","title":"Multi-task retriever fine-tuning for domain-specific and efficient RAG","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T21:30:51.740527Z"},"links":{"cited_paper":"/paper/2305.19912","citing_paper":"/paper/2501.04652"},"observation_digest":"sha256:70bc4338ba84ba4d1aa3647e837d3281503ac50a4d86f88f8207ecf3115ec6c6","observation_id":"deff9d20-eea3-4450-8737-6d4d36fa4700","resolution":{"observed_at":"2026-08-10T21:30:51.740527Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.19912","last_updated":"2023-05-31T14:45:25Z","snapshot_observed_at":"2026-08-15T01:37:08.865159Z","submitted_at":"2023-05-31T14:45:25Z","title":"Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.19912","snapshot_observed_at":"2026-08-15T15:56:21.604893Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.10697","last_updated":"2025-09-12T21:25:25Z","snapshot_observed_at":"2026-08-15T20:41:10.361202Z","submitted_at":"2025-09-12T21:25:25Z","title":"A Survey on Retrieval And Structuring Augmented Generation with Large Language Models","version":1},"reference_index":136,"source":"pdf_text","source_observed_at":"2026-08-15T15:56:21.604893Z"},"links":{"cited_paper":"/paper/2305.19912","citing_paper":"/paper/2509.10697"},"observation_digest":"sha256:9d3abba1e36df7ec770fdaad6cc63c48a0bbda254756142dc2365a8dec8100c7","observation_id":"16edce94-cacf-4220-8647-03ddb085570d","resolution":{"observed_at":"2026-08-15T15:56:21.604893Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2305.19912/citation-record","integrity":"/paper/2305.19912/integrity","json":"/paper/2305.19912/citation-record.json","paper":"/paper/2305.19912"},"outbound":[],"paper":{"arxiv_id":"2305.19912","last_updated":"2023-05-31T14:45:25Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-15T01:37:08.865159Z","submitted_at":"2023-05-31T14:45:25Z","title":"Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data"},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.19912."}