{"as_of":"2026-08-13T01:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e681911bffebb9dfae25797d08eb26bc3a5ee29f1c97f47bf1eda24647eb1968","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":"2026-08-12T06:34:41.77262+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":"2026-08-12T00:17:28.611354Z","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":"2026-07-03T19:58:54.806922Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2107.11828","last_updated":"2022-03-02T08:51:04Z","snapshot_observed_at":"2026-08-04T05:37:19.147787Z","submitted_at":"2021-07-25T15:25:21Z","title":"Probing criticality with deep learning in relativistic heavy-ion collisions","version":2},"cited_work":{"arxiv_id":"2107.11828","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2107.11828","snapshot_observed_at":"2026-07-03T19:58:54.806922Z","title":"2107.11828 , archiveprefix =","venue":null,"work_id":"68eaa745-2065-4a86-947c-e3c3dbfaef11","year":null},"citing_paper":{"arxiv_id":"2607.01354","last_updated":"2026-07-01T18:11:57Z","snapshot_observed_at":"2026-08-12T12:40:33.993995Z","submitted_at":"2026-07-01T18:11:57Z","title":"Local Conformal Predictions for Calibrated Surrogates","version":1},"reference_index":253,"source":"arxiv_source","source_observed_at":"2026-07-03T19:29:34.070294Z"},"links":{"cited_paper":"/paper/2107.11828","citing_paper":"/paper/2607.01354"},"observation_digest":"sha256:888d970a1dd81e822b6e437d7a584f4dcc8cb39d90596afec5aaf87694826ae8","observation_id":"e3c34e7d-7247-479f-9b34-a87b0d842c0c","resolution":{"observed_at":"2026-07-03T19:58:54.808245Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.11828","last_updated":"2022-03-02T08:51:04Z","snapshot_observed_at":"2026-08-04T05:37:19.147787Z","submitted_at":"2021-07-25T15:25:21Z","title":"Probing criticality with deep learning in relativistic heavy-ion collisions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.11828","snapshot_observed_at":"2026-08-12T00:17:28.611354Z","title":"Huang, L.-G","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.08259","last_updated":"2026-08-08T17:42:49Z","snapshot_observed_at":"2026-08-13T01:12:29.476197Z","submitted_at":"2026-08-08T17:42:49Z","title":"Topological analysis of scale-invariant spatial fluctuations in ultrarelativistic heavy-ion collisions","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-12T00:17:28.611354Z"},"links":{"cited_paper":"/paper/2107.11828","citing_paper":"/paper/2608.08259"},"observation_digest":"sha256:553fa6a871f14666fee602dea07bf76b68cd4b052a15a04ea6077c2a24a7f3bf","observation_id":"73020c7e-a0f4-4523-909e-2cf1e815c921","resolution":{"observed_at":"2026-08-12T00:17:28.611354Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2107.11828/citation-record","integrity":"/paper/2107.11828/integrity","json":"/paper/2107.11828/citation-record.json","paper":"/paper/2107.11828"},"outbound":[],"paper":{"arxiv_id":"2107.11828","last_updated":"2022-03-02T08:51:04Z","latest_version":2,"primary_category":"nucl-th","snapshot_observed_at":"2026-08-04T05:37:19.147787Z","submitted_at":"2021-07-25T15:25:21Z","title":"Probing criticality with deep learning in relativistic heavy-ion collisions"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2107.11828."}