{"as_of":"2026-08-07T11:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f704a4957170cc77c7c3cf1a0c2e3e73807fc77045548da7826e337bcbc61cb3","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":"2026-08-07T06:34:17.273281+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":"2026-08-01T06:08:27.109643Z","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":"2026-07-01T15:35:47.538343Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.03010","last_updated":"2025-05-15T20:42:47Z","snapshot_observed_at":"2026-08-06T18:55:22.053479Z","submitted_at":"2023-10-04T17:53:53Z","title":"Spectral alignment of stochastic gradient descent for high-dimensional classification tasks","version":2},"cited_work":{"arxiv_id":"2310.03010","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.03010","snapshot_observed_at":"2026-07-01T15:35:47.538343Z","title":null,"venue":null,"work_id":"ed58b8ca-336e-4529-8556-0456c8dd0274","year":2025},"citing_paper":{"arxiv_id":"2606.28486","last_updated":"2026-06-26T18:00:01Z","snapshot_observed_at":"2026-08-04T02:14:38.861171Z","submitted_at":"2026-06-26T18:00:01Z","title":"Spectral phase transitions and trainability in neural network learning dynamics","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-06-30T01:22:17.359656Z"},"links":{"cited_paper":"/paper/2310.03010","citing_paper":"/paper/2606.28486"},"observation_digest":"sha256:5d3f19f61d84af0dd159d036d6a17536d96a829bdde4cb04f23583c8d7c128b5","observation_id":"849239d2-ee42-4a81-a2ac-c7c1f61e0502","resolution":{"observed_at":"2026-07-01T15:35:47.539744Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.03010","last_updated":"2025-05-15T20:42:47Z","snapshot_observed_at":"2026-08-06T18:55:22.053479Z","submitted_at":"2023-10-04T17:53:53Z","title":"Spectral alignment of stochastic gradient descent for high-dimensional classification tasks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.03010","snapshot_observed_at":"2026-08-01T06:08:27.109643Z","title":"High-dimensional SGD aligns with emerging outlier eigenspaces,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.22010","last_updated":"2026-07-24T06:15:39Z","snapshot_observed_at":"2026-08-04T11:43:46.786247Z","submitted_at":"2026-07-24T06:15:39Z","title":"How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-01T06:08:27.109643Z"},"links":{"cited_paper":"/paper/2310.03010","citing_paper":"/paper/2607.22010"},"observation_digest":"sha256:a4b2bf6b6e37e39e4bde77a1326e4b88912bab6b786ea8890fa059846a20c442","observation_id":"d5a9fd55-a141-4132-94ce-b54f29e706d5","resolution":{"observed_at":"2026-08-01T06:08:27.109643Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2310.03010/citation-record","integrity":"/paper/2310.03010/integrity","json":"/paper/2310.03010/citation-record.json","paper":"/paper/2310.03010"},"outbound":[],"paper":{"arxiv_id":"2310.03010","last_updated":"2025-05-15T20:42:47Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T18:55:22.053479Z","submitted_at":"2023-10-04T17:53:53Z","title":"Spectral alignment of stochastic gradient descent for high-dimensional classification tasks"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.03010."}