{"as_of":"2026-08-22T04:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:edd491bd57b3e23c125ee4c24df6906a50c94bb7fe54de0130185eb1c30ee7a3","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":"2026-08-21T06:32:19.484+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":"2026-08-15T23:23:11.322748Z","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":"2026-05-21T07:59:51.040502Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1907.04108","last_updated":"2022-04-12T14:31:47Z","snapshot_observed_at":"2026-08-21T13:52:37.091873Z","submitted_at":"2019-07-09T12:17:03Z","title":"Scaling Limit of Neural Networks with the Xavier Initialization and Convergence to a Global Minimum","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.04108","snapshot_observed_at":"2026-08-15T23:23:11.322748Z","title":"Sirignano and Konstantinos Spiliopoulos","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2505.04915","last_updated":"2025-05-08T03:11:58Z","snapshot_observed_at":"2026-08-18T18:24:53.840867Z","submitted_at":"2025-05-08T03:11:58Z","title":"GlyphMastero: A Glyph Encoder for High-Fidelity Scene Text Editing","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T23:23:11.322748Z"},"links":{"cited_paper":"/paper/1907.04108","citing_paper":"/paper/2505.04915"},"observation_digest":"sha256:403470a1c8483921d91ed0bfc25914769c90b5eb8105d59010596240a50788a1","observation_id":"5f781628-15fd-402a-a363-be4b156c1025","resolution":{"observed_at":"2026-08-15T23:23:11.322748Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.04108","last_updated":"2022-04-12T14:31:47Z","snapshot_observed_at":"2026-08-21T13:52:37.091873Z","submitted_at":"2019-07-09T12:17:03Z","title":"Scaling Limit of Neural Networks with the Xavier Initialization and Convergence to a Global Minimum","version":3},"cited_work":{"arxiv_id":"1907.04108","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1907.04108","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Sirignano and K","venue":null,"work_id":"494d75d5-5fb8-4477-9356-e78e5d0e1920","year":1907},"citing_paper":{"arxiv_id":"2605.08352","last_updated":"2026-05-20T17:52:58Z","snapshot_observed_at":"2026-08-18T18:47:04.178939Z","submitted_at":"2026-05-08T18:02:37Z","title":"Convergence Analysis of Newton's Method for Neural Networks in the Overparameterized Limit","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-12T01:14:56.813216Z"},"links":{"cited_paper":"/paper/1907.04108","citing_paper":"/paper/2605.08352"},"observation_digest":"sha256:f4ea3e6f400758a46c7ede6e0db9b15140581ffd1a8d0a768f061c945ce9e6d7","observation_id":"6c3467b0-84d0-4916-98a4-9e1517e79583","resolution":{"observed_at":"2026-05-12T08:21:23.833817Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.04108","last_updated":"2022-04-12T14:31:47Z","snapshot_observed_at":"2026-08-21T13:52:37.091873Z","submitted_at":"2019-07-09T12:17:03Z","title":"Scaling Limit of Neural Networks with the Xavier Initialization and Convergence to a Global Minimum","version":3},"cited_work":{"arxiv_id":"1907.04108","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1907.04108","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Sirignano and K","venue":null,"work_id":"494d75d5-5fb8-4477-9356-e78e5d0e1920","year":1907},"citing_paper":{"arxiv_id":"2605.08352","last_updated":"2026-05-20T17:52:58Z","snapshot_observed_at":"2026-08-18T18:47:04.178939Z","submitted_at":"2026-05-08T18:02:37Z","title":"Convergence Analysis of Newton's Method for Neural Networks in the Overparameterized Limit","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-21T07:54:54.486338Z"},"links":{"cited_paper":"/paper/1907.04108","citing_paper":"/paper/2605.08352"},"observation_digest":"sha256:de9ac7a7850b01954decb225dae27be62ce39300f40219c23be0159feff9e0de","observation_id":"88ee573e-4a0b-4103-acad-123150e972cf","resolution":{"observed_at":"2026-05-21T07:59:51.042335Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1907.04108/citation-record","integrity":"/paper/1907.04108/integrity","json":"/paper/1907.04108/citation-record.json","paper":"/paper/1907.04108"},"outbound":[],"paper":{"arxiv_id":"1907.04108","last_updated":"2022-04-12T14:31:47Z","latest_version":3,"primary_category":"math.PR","snapshot_observed_at":"2026-08-21T13:52:37.091873Z","submitted_at":"2019-07-09T12:17:03Z","title":"Scaling Limit of Neural Networks with the Xavier Initialization and Convergence to a Global Minimum"},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1907.04108."}