{"as_of":"2026-08-08T04:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:39fbadddde138948b93c1a23dc08c4c064a69b6b6222b6de4ec49f98e01ea007","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":"2026-08-07T06:34:17.273281+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":"2026-08-02T09:42:49.685666Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.07321","last_updated":"2025-06-12T03:39:58Z","snapshot_observed_at":"2026-07-06T18:43:59.807904Z","submitted_at":"2024-07-10T02:33:09Z","title":"Benchmarking LLMs for Environmental Review and Permitting","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.07321","snapshot_observed_at":"2026-08-01T17:08:05.207139Z","title":"Benchmarking LLMs for environmental review and permitting","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17745","last_updated":"2026-07-20T09:39:56Z","snapshot_observed_at":"2026-08-05T14:38:17.493079Z","submitted_at":"2026-07-20T09:39:56Z","title":"WuYu-EnvLE-Bench: A Benchmark for Evaluating Large Language Models in Environmental Law Enforcement","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:05.207139Z"},"links":{"cited_paper":"/paper/2407.07321","citing_paper":"/paper/2607.17745"},"observation_digest":"sha256:32210bfe80581e9653ce4d95059a959cd5c8db04ee26f5486081180069dd64c8","observation_id":"68a5bc4d-dc4a-4e14-9894-fc2bf8c2e11e","resolution":{"observed_at":"2026-08-01T17:08:05.207139Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.07321","last_updated":"2025-06-12T03:39:58Z","snapshot_observed_at":"2026-07-06T18:43:59.807904Z","submitted_at":"2024-07-10T02:33:09Z","title":"Benchmarking LLMs for Environmental Review and Permitting","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.07321","snapshot_observed_at":"2026-08-02T09:42:49.685666Z","title":"RAG vs. Long Context: Examining Frontier Large Language Models for Environmental Review Document Comprehen- sion,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.24791","last_updated":"2026-06-28T14:11:03Z","snapshot_observed_at":"2026-08-06T08:30:40.617333Z","submitted_at":"2026-06-28T14:11:03Z","title":"From Naive RAG to Deep Agentic Retrieval: An Evolving Context Engineering Pipeline for Regulatory Compliance","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T09:42:49.685666Z"},"links":{"cited_paper":"/paper/2407.07321","citing_paper":"/paper/2607.24791"},"observation_digest":"sha256:ee013f13289e4c63d12175d6fdff0478d0749f9f5bdf1183cde130456d9f62be","observation_id":"8d864654-ec3d-4c48-925d-e721fe4d5ea4","resolution":{"observed_at":"2026-08-02T09:42:49.685666Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2407.07321/citation-record","integrity":"/paper/2407.07321/integrity","json":"/paper/2407.07321/citation-record.json","paper":"/paper/2407.07321"},"outbound":[],"paper":{"arxiv_id":"2407.07321","last_updated":"2025-06-12T03:39:58Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T18:43:59.807904Z","submitted_at":"2024-07-10T02:33:09Z","title":"Benchmarking LLMs for Environmental Review and Permitting"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.07321."}