{"as_of":"2026-08-16T05:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:981af99ade64398bd31f61317c73cd6ab5379c6c08c46cff464fd9f24a033fab","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":"2026-08-15T06:32:42.880941+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":"2026-08-11T11:48:09.212743Z","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":"2026-05-10T11:30:18.700885Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.01795","last_updated":"2025-04-16T05:30:34Z","snapshot_observed_at":"2026-08-13T14:32:04.445396Z","submitted_at":"2024-10-02T17:53:08Z","title":"Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.01795","snapshot_observed_at":"2026-08-11T11:48:09.212743Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.14999","last_updated":"2025-01-26T17:25:06Z","snapshot_observed_at":"2026-08-13T13:05:49.363459Z","submitted_at":"2024-12-19T16:08:23Z","title":"Accessing the topological properties of human brain functional sub-circuits in Echo State Networks","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-11T11:48:09.212743Z"},"links":{"cited_paper":"/paper/2410.01795","citing_paper":"/paper/2412.14999"},"observation_digest":"sha256:bbc8eaff4b40ef00c1d0e54ca798b3e75858dc2bc521dbbabf7991d2b8e830b3","observation_id":"47c8ed68-25ed-48c0-8d7c-191d4c65a767","resolution":{"observed_at":"2026-08-11T11:48:09.212743Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.01795","last_updated":"2025-04-16T05:30:34Z","snapshot_observed_at":"2026-08-13T14:32:04.445396Z","submitted_at":"2024-10-02T17:53:08Z","title":"Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models","version":2},"cited_work":{"arxiv_id":"2410.01795","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.01795","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Knowledge-driven feature selection and engineering for genotype data with large language models","venue":null,"work_id":"cf2e554d-0063-4d39-895c-01f2d1afe529","year":2025},"citing_paper":{"arxiv_id":"2604.14334","last_updated":"2026-04-17T04:42:54Z","snapshot_observed_at":"2026-08-14T14:50:18.577755Z","submitted_at":"2026-04-15T18:39:46Z","title":"Mamba-SSM with LLM Reasoning for Feature Selection: Faithfulness-Aware Biomarker Discovery","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-05-10T11:28:04.724476Z"},"links":{"cited_paper":"/paper/2410.01795","citing_paper":"/paper/2604.14334"},"observation_digest":"sha256:978e578d881f4472abe4a4ea4ecb90b8c84d092ed345d1a608f929914d1e1e47","observation_id":"edc55a22-10ed-480f-8f78-cf72196eed99","resolution":{"observed_at":"2026-05-10T11:30:18.703048Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2410.01795/citation-record","integrity":"/paper/2410.01795/integrity","json":"/paper/2410.01795/citation-record.json","paper":"/paper/2410.01795"},"outbound":[],"paper":{"arxiv_id":"2410.01795","last_updated":"2025-04-16T05:30:34Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T14:32:04.445396Z","submitted_at":"2024-10-02T17:53:08Z","title":"Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models"},"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 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.01795."}