{"as_of":"2026-08-15T21:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:45b58a95a9df9723a23c9d09b1b9d8a5817c248b44e10ce1662e0986eb9f30ca","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":"2026-08-15T06:32:42.880941+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":"2026-08-07T05:25:24.724612Z","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":"2026-05-11T21:41:16.082134Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2205.05625","last_updated":"2023-09-28T00:04:13Z","snapshot_observed_at":"2026-08-13T15:45:40.914684Z","submitted_at":"2022-05-11T16:50:46Z","title":"Quantum Self-Attention Neural Networks for Text Classification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.05625","snapshot_observed_at":"2026-08-07T05:25:24.724612Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07937","last_updated":"2025-06-09T16:55:41Z","snapshot_observed_at":"2026-08-12T17:14:04.517142Z","submitted_at":"2025-06-09T16:55:41Z","title":"Quantum Graph Transformer for NLP Sentiment Classification","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T05:25:24.724612Z"},"links":{"cited_paper":"/paper/2205.05625","citing_paper":"/paper/2506.07937"},"observation_digest":"sha256:df4a995ff1c18e06e8b5e175a868ed0a72a3701ae4f8c71b009033ea8c38719b","observation_id":"e49813e6-8f94-4986-aee2-9e338f677f0a","resolution":{"observed_at":"2026-08-07T05:25:24.724612Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.05625","last_updated":"2023-09-28T00:04:13Z","snapshot_observed_at":"2026-08-13T15:45:40.914684Z","submitted_at":"2022-05-11T16:50:46Z","title":"Quantum Self-Attention Neural Networks for Text Classification","version":2},"cited_work":{"arxiv_id":"2205.05625","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2205.05625","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Quantum self-attention neural networks for text classification","venue":null,"work_id":"dd829e89-bb72-4998-a285-27acdaebb866","year":2022},"citing_paper":{"arxiv_id":"2604.23931","last_updated":"2026-07-07T02:25:59Z","snapshot_observed_at":"2026-08-13T02:31:22.579248Z","submitted_at":"2026-04-27T01:13:14Z","title":"Do Quantum Transformers Help? A Systematic VQC Architecture Comparison on Tabular Benchmarks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-08T04:35:25.754629Z"},"links":{"cited_paper":"/paper/2205.05625","citing_paper":"/paper/2604.23931"},"observation_digest":"sha256:e22ecd9adbfb0fdc3099a7378ee2f9b140f5fbbf08fe4f76ae59b9ebada43b99","observation_id":"f1d976d6-99eb-4256-8ab9-7e7d597cec97","resolution":{"observed_at":"2026-05-11T21:41:16.091016Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.05625","last_updated":"2023-09-28T00:04:13Z","snapshot_observed_at":"2026-08-13T15:45:40.914684Z","submitted_at":"2022-05-11T16:50:46Z","title":"Quantum Self-Attention Neural Networks for Text Classification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.05625","snapshot_observed_at":"2026-08-01T13:33:14.187247Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.19086","last_updated":"2026-07-21T13:23:42Z","snapshot_observed_at":"2026-08-12T07:48:37.260618Z","submitted_at":"2026-07-21T13:23:42Z","title":"Advancing Multimodal Fusion on Heterogeneous Medical Data with Hybrid Geometry Attention","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-01T13:33:14.187247Z"},"links":{"cited_paper":"/paper/2205.05625","citing_paper":"/paper/2607.19086"},"observation_digest":"sha256:d5c91cd7768f46b8dc4b90566722f99c572fd41cee2f33169909fbde3be57f8d","observation_id":"538af5e6-96d5-45ae-911e-df8b25e6dfa7","resolution":{"observed_at":"2026-08-01T13:33:14.187247Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2205.05625/citation-record","integrity":"/paper/2205.05625/integrity","json":"/paper/2205.05625/citation-record.json","paper":"/paper/2205.05625"},"outbound":[],"paper":{"arxiv_id":"2205.05625","last_updated":"2023-09-28T00:04:13Z","latest_version":2,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-13T15:45:40.914684Z","submitted_at":"2022-05-11T16:50:46Z","title":"Quantum Self-Attention Neural Networks for Text Classification"},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2205.05625."}