{"as_of":"2026-08-11T13:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f06b9839a70c6974d5cf04bcdb48cbb05fff7a7ad30aea8836a8b767d0105d6d","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:44:22.342479Z","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":"2026-08-07T14:44:24.109402Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.03030","last_updated":"2025-03-05T04:37:07Z","snapshot_observed_at":"2026-08-09T21:55:57.056988Z","submitted_at":"2024-10-03T22:24:54Z","title":"Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness","version":2},"cited_work":{"arxiv_id":"2410.03030","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.03030","snapshot_observed_at":"2026-08-07T14:44:24.109402Z","title":"Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness","venue":"cs.CV","work_id":"f94fde97-fb9d-4d04-bb7c-e8af1405ffba","year":2024},"citing_paper":{"arxiv_id":"2505.17909","last_updated":"2025-05-23T13:53:21Z","snapshot_observed_at":"2026-08-07T18:19:48.354728Z","submitted_at":"2025-05-23T13:53:21Z","title":"NeuroTrails: Training with Dynamic Sparse Heads as the Key to Effective Ensembling","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-07T14:44:22.342479Z"},"links":{"cited_paper":"/paper/2410.03030","citing_paper":"/paper/2505.17909"},"observation_digest":"sha256:cff5c949779219631f05bd9251fa5213a384eacda22fb83dd2a9d35a257c1e84","observation_id":"a93aa535-4cb6-49d9-a8d2-eb4c852f792c","resolution":{"observed_at":"2026-08-07T14:44:24.210999Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2410.03030/citation-record","integrity":"/paper/2410.03030/integrity","json":"/paper/2410.03030/citation-record.json","paper":"/paper/2410.03030"},"outbound":[],"paper":{"arxiv_id":"2410.03030","last_updated":"2025-03-05T04:37:07Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-09T21:55:57.056988Z","submitted_at":"2024-10-03T22:24:54Z","title":"Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2410.03030."}