{"as_of":"2026-08-08T22:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1d1c0d684ebdcbcdfc18c393dc89263dc02cd53410b15139662a1543e79882cb","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":"2026-08-08T06:32:00.761636+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":"2026-08-05T22:11:07.736791Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-05T22:11:07.863933Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.21022","last_updated":"2024-12-30T15:44:05Z","snapshot_observed_at":"2026-07-06T20:14:45.295346Z","submitted_at":"2024-12-30T15:44:05Z","title":"Text Classification: Neural Networks VS Machine Learning Models VS Pre-trained Models","version":1},"cited_work":{"arxiv_id":"2412.21022","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.21022","snapshot_observed_at":"2026-08-05T22:11:07.863933Z","title":"Text Classification: Neural Networks VS Machine Learning Models VS Pre-trained Models","venue":"cs.LG","work_id":"51e5e1d0-a8f0-4d83-9654-03d583c4a249","year":2024},"citing_paper":{"arxiv_id":"2508.07486","last_updated":"2025-08-10T21:07:20Z","snapshot_observed_at":"2026-08-05T22:11:06.391740Z","submitted_at":"2025-08-10T21:07:20Z","title":"Extracting Overlapping Microservices from Monolithic Code via Deep Semantic Embeddings and Graph Neural Network-Based Soft Clustering","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T22:11:07.736791Z"},"links":{"cited_paper":"/paper/2412.21022","citing_paper":"/paper/2508.07486"},"observation_digest":"sha256:0e1a3e3f7934caf957e27bf4b793c43891ee8d008c8515b858b5b33b27839018","observation_id":"1744a607-172b-4539-8857-8938aab0307a","resolution":{"observed_at":"2026-08-05T22:11:07.867598Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.21022","last_updated":"2024-12-30T15:44:05Z","snapshot_observed_at":"2026-07-06T20:14:45.295346Z","submitted_at":"2024-12-30T15:44:05Z","title":"Text Classification: Neural Networks VS Machine Learning Models VS Pre-trained Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.21022","snapshot_observed_at":"2026-07-12T02:18:02.324242Z","title":"arXiv preprint arXiv:2412.21022 , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.03466","last_updated":"2026-07-03T16:25:35Z","snapshot_observed_at":"2026-08-03T10:07:46.103285Z","submitted_at":"2026-07-03T16:25:35Z","title":"CaresAI at SMM4H-HeaRD 2026: Predicting TNM Staging","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-07-12T02:18:02.324242Z"},"links":{"cited_paper":"/paper/2412.21022","citing_paper":"/paper/2607.03466"},"observation_digest":"sha256:bd1485a3f146811dfe09d04d96bf002959d955813aa64f2aedd8610c8e40a8dc","observation_id":"504f37ed-667f-43cc-b948-9a141674ef24","resolution":{"observed_at":"2026-07-12T02:18:02.324242Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2412.21022/citation-record","integrity":"/paper/2412.21022/integrity","json":"/paper/2412.21022/citation-record.json","paper":"/paper/2412.21022"},"outbound":[],"paper":{"arxiv_id":"2412.21022","last_updated":"2024-12-30T15:44:05Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T20:14:45.295346Z","submitted_at":"2024-12-30T15:44:05Z","title":"Text Classification: Neural Networks VS Machine Learning Models VS Pre-trained 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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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:2412.21022."}