{"as_of":"2026-08-15T12:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1881da50a68c1d662e7ac7db9afb776cd74e9416772439cea65a9e1899c45cb6","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T12:05:57.551761Z","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":"2026-05-11T19:26:09.094596Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1807.02004","last_updated":"2018-08-06T07:52:56Z","snapshot_observed_at":"2026-08-14T18:55:22.226277Z","submitted_at":"2018-07-05T13:46:37Z","title":"Calamari - A High-Performance Tensorflow-based Deep Learning Package for Optical Character Recognition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.02004","snapshot_observed_at":"2026-08-09T12:05:57.551761Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.04351","last_updated":"2025-02-04T16:54:23Z","snapshot_observed_at":"2026-08-12T17:43:59.332740Z","submitted_at":"2025-02-04T16:54:23Z","title":"NER4all or Context is All You Need: Using LLMs for low-effort, high-performance NER on historical texts. A humanities informed approach","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-09T12:05:57.551761Z"},"links":{"cited_paper":"/paper/1807.02004","citing_paper":"/paper/2502.04351"},"observation_digest":"sha256:83caf273c6d722ced546bb05c3c109c1a1d9b8cb4a2c9cd869ceceee2573f890","observation_id":"9e927678-9194-41c9-a2a9-397c3015864f","resolution":{"observed_at":"2026-08-09T12:05:57.551761Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1807.02004","last_updated":"2018-08-06T07:52:56Z","snapshot_observed_at":"2026-08-14T18:55:22.226277Z","submitted_at":"2018-07-05T13:46:37Z","title":"Calamari - A High-Performance Tensorflow-based Deep Learning Package for Optical Character Recognition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.02004","snapshot_observed_at":"2026-08-03T04:01:49.719988Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2602.06223","last_updated":"2026-07-08T21:07:11Z","snapshot_observed_at":"2026-08-14T05:12:56.870071Z","submitted_at":"2026-02-05T22:01:50Z","title":"Scaling Mobile Chaos Testing with AI-Driven Test Execution","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-03T04:01:49.719988Z"},"links":{"cited_paper":"/paper/1807.02004","citing_paper":"/paper/2602.06223"},"observation_digest":"sha256:78d2d59612b30909bea18423f8670e6ecc7d139437652579a4782354920b8ee7","observation_id":"5ffea423-0f72-44a3-aca4-9941c4541fb5","resolution":{"observed_at":"2026-08-03T04:01:49.719988Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1807.02004","last_updated":"2018-08-06T07:52:56Z","snapshot_observed_at":"2026-08-14T18:55:22.226277Z","submitted_at":"2018-07-05T13:46:37Z","title":"Calamari - A High-Performance Tensorflow-based Deep Learning Package for Optical Character Recognition","version":3},"cited_work":{"arxiv_id":"1807.02004","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1807.02004","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Figure 3","venue":null,"work_id":"f5d72b63-f6d9-4387-a3b4-88158a263be5","year":2026},"citing_paper":{"arxiv_id":"2604.22880","last_updated":"2026-04-24T03:34:06Z","snapshot_observed_at":"2026-08-02T08:51:24.416482Z","submitted_at":"2026-04-24T03:34:06Z","title":"TexOCR: Advancing Document OCR Models for Compilable Page-to-LaTeX Reconstruction","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-08T11:57:17.933165Z"},"links":{"cited_paper":"/paper/1807.02004","citing_paper":"/paper/2604.22880"},"observation_digest":"sha256:0550045c05bd9628fe6e2975f9de53eeb871043e8a4c57a1944769d0ae360c09","observation_id":"8f47523b-4127-42fd-aff2-44e9d591ec98","resolution":{"observed_at":"2026-05-11T19:26:09.096814Z","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/1807.02004/citation-record","integrity":"/paper/1807.02004/integrity","json":"/paper/1807.02004/citation-record.json","paper":"/paper/1807.02004"},"outbound":[],"paper":{"arxiv_id":"1807.02004","last_updated":"2018-08-06T07:52:56Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T18:55:22.226277Z","submitted_at":"2018-07-05T13:46:37Z","title":"Calamari - A High-Performance Tensorflow-based Deep Learning Package for Optical Character Recognition"},"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 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1807.02004."}