{"as_of":"2026-08-10T06:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5dae62a15feab22b8227456690d956583a72dbb95c782b560c809163ae6481f5","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":"2026-08-10T06:31:04.303077+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":"2026-08-07T11:05:45.470823Z","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":"2026-05-09T06:25:48.475266Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.19094","last_updated":"2024-07-17T15:29:18Z","snapshot_observed_at":"2026-08-02T07:53:30.571045Z","submitted_at":"2024-04-29T20:19:25Z","title":"In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.19094","snapshot_observed_at":"2026-08-07T11:05:45.470823Z","title":"In-context symbolic regression: Leveraging large language models for function discovery.arXiv preprint arXiv:2404.19094, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.04282","last_updated":"2025-06-04T04:52:34Z","snapshot_observed_at":"2026-08-10T00:53:03.969500Z","submitted_at":"2025-06-04T04:52:34Z","title":"DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T11:05:45.470823Z"},"links":{"cited_paper":"/paper/2404.19094","citing_paper":"/paper/2506.04282"},"observation_digest":"sha256:4c766f2575866dc25c540ed218605769ccd25d7454ea151a2527ba72850dd5f0","observation_id":"650056de-b3a7-4e46-8c94-732f3f390a96","resolution":{"observed_at":"2026-08-07T11:05:45.470823Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.19094","last_updated":"2024-07-17T15:29:18Z","snapshot_observed_at":"2026-08-02T07:53:30.571045Z","submitted_at":"2024-04-29T20:19:25Z","title":"In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery","version":2},"cited_work":{"arxiv_id":"2404.19094","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.19094","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2404.19094 , year=","venue":null,"work_id":"5488f8b0-095b-4584-9f0b-c61b5d1aba10","year":null},"citing_paper":{"arxiv_id":"2605.03101","last_updated":"2026-05-04T19:34:03Z","snapshot_observed_at":"2026-08-07T21:58:33.864402Z","submitted_at":"2026-05-04T19:34:03Z","title":"Programmatic Context Augmentation for LLM-based Symbolic Regression","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-05-08T18:26:09.810673Z"},"links":{"cited_paper":"/paper/2404.19094","citing_paper":"/paper/2605.03101"},"observation_digest":"sha256:d5961d53f1a60fa09dc23ef449b4ffa9d3231e2e1b5df2a1071144f4058c0755","observation_id":"d146b1d5-b661-482a-a228-bf56301c0fc5","resolution":{"observed_at":"2026-05-09T06:25:48.477544Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2404.19094/citation-record","integrity":"/paper/2404.19094/integrity","json":"/paper/2404.19094/citation-record.json","paper":"/paper/2404.19094"},"outbound":[],"paper":{"arxiv_id":"2404.19094","last_updated":"2024-07-17T15:29:18Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-02T07:53:30.571045Z","submitted_at":"2024-04-29T20:19:25Z","title":"In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.19094."}