{"as_of":"2026-08-08T01:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8e479e4dc006063b7175ac047971d1dbadc98ab5b62e4ba3dd5efbb38d36b23a","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":"2026-08-06T21:53:06.351425Z","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":"2026-05-18T17:01:39.973084Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.13588","last_updated":"2025-02-08T21:59:10Z","snapshot_observed_at":"2026-07-06T19:18:49.296053Z","submitted_at":"2024-09-20T15:42:33Z","title":"ChainBuddy: An AI Agent System for Generating LLM Pipelines","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.13588","snapshot_observed_at":"2026-08-06T21:53:06.351425Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.01990","last_updated":"2025-06-29T05:25:31Z","snapshot_observed_at":"2026-08-06T21:47:39.891232Z","submitted_at":"2025-06-29T05:25:31Z","title":"Integrating Large Language Models in Financial Investments and Market Analysis: A Survey","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T21:53:06.351425Z"},"links":{"cited_paper":"/paper/2409.13588","citing_paper":"/paper/2507.01990"},"observation_digest":"sha256:8e34cf926ca5af77c1294b11a1adb21ec6135e148876a8ea4f00149c28ee73dd","observation_id":"9504ba65-3620-4686-ad58-6bcb19d4bb10","resolution":{"observed_at":"2026-08-06T21:53:06.351425Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.13588","last_updated":"2025-02-08T21:59:10Z","snapshot_observed_at":"2026-07-06T19:18:49.296053Z","submitted_at":"2024-09-20T15:42:33Z","title":"ChainBuddy: An AI Agent System for Generating LLM Pipelines","version":2},"cited_work":{"arxiv_id":"2409.13588","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.13588","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"03216892-0555-4449-8b00-cd316b649768","year":2024},"citing_paper":{"arxiv_id":"2509.11206","last_updated":"2026-04-20T05:43:30Z","snapshot_observed_at":"2026-08-07T05:35:56.514953Z","submitted_at":"2025-09-14T10:24:13Z","title":"Evalet: Evaluating Large Language Models through Functional Fragmentation","version":4},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-05-18T16:57:25.259866Z"},"links":{"cited_paper":"/paper/2409.13588","citing_paper":"/paper/2509.11206"},"observation_digest":"sha256:27eedc31475304023b3c1e78014e875548d4a7d22c5a3ba9309e5a13c425d37f","observation_id":"2feafacc-48b2-4ece-95c6-58ca18e21a1c","resolution":{"observed_at":"2026-05-18T17:01:39.976160Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2409.13588/citation-record","integrity":"/paper/2409.13588/integrity","json":"/paper/2409.13588/citation-record.json","paper":"/paper/2409.13588"},"outbound":[],"paper":{"arxiv_id":"2409.13588","last_updated":"2025-02-08T21:59:10Z","latest_version":2,"primary_category":"cs.HC","snapshot_observed_at":"2026-07-06T19:18:49.296053Z","submitted_at":"2024-09-20T15:42:33Z","title":"ChainBuddy: An AI Agent System for Generating LLM Pipelines"},"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:2409.13588."}