{"as_of":"2026-08-11T03:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:607ea5a979c23f7711e23217f5fc579304953e3f6af0788280a631b5f9128fd5","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":"2026-08-10T06:31:04.303077+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":"2026-08-02T00:55:30.470447Z","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":"2026-05-11T04:15:58.120854Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.17107","last_updated":"2025-05-26T10:30:56Z","snapshot_observed_at":"2026-07-31T18:36:20.612604Z","submitted_at":"2024-09-25T17:21:09Z","title":"Non-asymptotic convergence analysis of the stochastic gradient Hamiltonian Monte Carlo algorithm with discontinuous stochastic gradient with applications to training of ReLU neural networks","version":2},"cited_work":{"arxiv_id":"2409.17107","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.17107","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2409.17107 (2024)","venue":null,"work_id":"33b3d4ef-4ce5-4d16-9cbd-1f612f50743b","year":2024},"citing_paper":{"arxiv_id":"2605.06868","last_updated":"2026-05-07T19:10:48Z","snapshot_observed_at":"2026-07-06T23:19:15.382283Z","submitted_at":"2026-05-07T19:10:48Z","title":"When Descent Is Too Stable: Event-Triggered Hamiltonian Learning to Optimize","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-11T01:52:21.146199Z"},"links":{"cited_paper":"/paper/2409.17107","citing_paper":"/paper/2605.06868"},"observation_digest":"sha256:46f975a55916881b6f1eec5d40ff41b6b80cffa7f8ab61281b1e9e5b38074ed9","observation_id":"07d8b33f-be3b-4a61-a824-ed5f0cc9c681","resolution":{"observed_at":"2026-05-11T04:15:58.124465Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.17107","last_updated":"2025-05-26T10:30:56Z","snapshot_observed_at":"2026-07-31T18:36:20.612604Z","submitted_at":"2024-09-25T17:21:09Z","title":"Non-asymptotic convergence analysis of the stochastic gradient Hamiltonian Monte Carlo algorithm with discontinuous stochastic gradient with applications to training of ReLU neural networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.17107","snapshot_observed_at":"2026-08-02T00:55:30.470447Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.14862","last_updated":"2026-07-16T11:36:00Z","snapshot_observed_at":"2026-08-10T14:22:08.879244Z","submitted_at":"2026-07-16T11:36:00Z","title":"Tamed Stochastic Gradient Hamiltonian Monte Carlo","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-02T00:55:30.470447Z"},"links":{"cited_paper":"/paper/2409.17107","citing_paper":"/paper/2607.14862"},"observation_digest":"sha256:09d85153abccc79cc7603a12fcc1a9a3c59d3e0b321a93649e216958121fb527","observation_id":"587a3068-fb79-47ff-9d58-8bd071a98a93","resolution":{"observed_at":"2026-08-02T00:55:30.470447Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2409.17107/citation-record","integrity":"/paper/2409.17107/integrity","json":"/paper/2409.17107/citation-record.json","paper":"/paper/2409.17107"},"outbound":[],"paper":{"arxiv_id":"2409.17107","last_updated":"2025-05-26T10:30:56Z","latest_version":2,"primary_category":"math.OC","snapshot_observed_at":"2026-07-31T18:36:20.612604Z","submitted_at":"2024-09-25T17:21:09Z","title":"Non-asymptotic convergence analysis of the stochastic gradient Hamiltonian Monte Carlo algorithm with discontinuous stochastic gradient with applications to training of ReLU neural networks"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.17107."}