{"as_of":"2026-08-17T05:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f135a75205c3748a66398311abd6d4728aa2c13047ee5016be4c48f019b939f3","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":"2026-08-16T06:30:59.297886+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":"2026-08-15T16:42:42.562291Z","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":"2026-08-10T18:16:17.926450Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1808.00418","last_updated":"2018-08-01T17:00:43Z","snapshot_observed_at":"2026-08-14T18:45:26.627052Z","submitted_at":"2018-08-01T17:00:43Z","title":"Stock Chart Pattern recognition with Deep Learning","version":1},"cited_work":{"arxiv_id":"1808.00418","doi":"10.48550/arxiv.1808.00418","metadata_source":"pith","pith_arxiv_id":"1808.00418","snapshot_observed_at":"2026-08-10T18:16:17.926450Z","title":"Stock Chart Pattern recognition with Deep Learning","venue":"cs.LG","work_id":"6ed0a4ac-91b0-4654-97ca-a394772e824a","year":2018},"citing_paper":{"arxiv_id":"2501.12239","last_updated":"2025-01-21T15:59:21Z","snapshot_observed_at":"2026-08-16T12:09:45.752710Z","submitted_at":"2025-01-21T15:59:21Z","title":"Investigating Market Strength Prediction with CNNs on Candlestick Chart Images","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T17:23:48.295994Z"},"links":{"cited_paper":"/paper/1808.00418","citing_paper":"/paper/2501.12239"},"observation_digest":"sha256:4a1d4f087d900daf1a4974d370da2a6049f38b151ad9514e94840b770ca8baf1","observation_id":"5edd0c61-cd57-428c-bef6-f6936b774048","resolution":{"observed_at":"2026-08-10T17:23:48.381579Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1808.00418","last_updated":"2018-08-01T17:00:43Z","snapshot_observed_at":"2026-08-14T18:45:26.627052Z","submitted_at":"2018-08-01T17:00:43Z","title":"Stock Chart Pattern recognition with Deep Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1808.00418","snapshot_observed_at":"2026-08-15T16:42:42.562291Z","title":"Stock chart pattern recognition with deep learning","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.02308","last_updated":"2025-09-02T13:31:10Z","snapshot_observed_at":"2026-08-15T16:36:16.466341Z","submitted_at":"2025-09-02T13:31:10Z","title":"Exploring Diffusion Models for Generative Forecasting of Financial Charts","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T16:42:42.562291Z"},"links":{"cited_paper":"/paper/1808.00418","citing_paper":"/paper/2509.02308"},"observation_digest":"sha256:9145a25fd11b24e264a75998d15a97fd1dd4015e51aaf3484370b25081983fcc","observation_id":"44c3f4d1-f544-49d9-8bf9-d19a5b3f3102","resolution":{"observed_at":"2026-08-15T16:42:42.562291Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1808.00418/citation-record","integrity":"/paper/1808.00418/integrity","json":"/paper/1808.00418/citation-record.json","paper":"/paper/1808.00418"},"outbound":[],"paper":{"arxiv_id":"1808.00418","last_updated":"2018-08-01T17:00:43Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-14T18:45:26.627052Z","submitted_at":"2018-08-01T17:00:43Z","title":"Stock Chart Pattern recognition with Deep Learning"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1808.00418."}