{"as_of":"2026-08-09T14:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ac6645e55f5cdb16068d77c9878d96257574521c59a7cb89be4d25cd165eee79","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T18:03:19.495282Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.14663","last_updated":"2025-01-24T17:35:18Z","snapshot_observed_at":"2026-07-06T20:25:40.715105Z","submitted_at":"2025-01-24T17:35:18Z","title":"End-to-end workflow for machine learning-based qubit readout with QICK and hls4ml","version":1},"cited_work":{"arxiv_id":"2501.14663","doi":"10.48550/arxiv.2501.14663","metadata_source":"arxiv_reference","pith_arxiv_id":"2501.14663","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"End-to-end workflow for machine learning-based qubit readout with qick and hls4ml","venue":"ArXiv.org","work_id":"28b324f6-9b75-43f2-bfc6-b93e72a5baca","year":2025},"citing_paper":{"arxiv_id":"2507.19205","last_updated":"2026-04-18T12:46:44Z","snapshot_observed_at":"2026-08-02T12:33:39.794463Z","submitted_at":"2025-07-25T12:19:57Z","title":"Physics-Informed Graph Neural Networks for Transverse Momentum Estimation in CMS Trigger Systems","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-19T02:47:37.470291Z"},"links":{"cited_paper":"/paper/2501.14663","citing_paper":"/paper/2507.19205"},"observation_digest":"sha256:0d75c50f04b4d1630c5c7167e83f2d5b2353cbefe3d07a67712a737bd49dab30","observation_id":"ac98fe58-7988-4584-a339-0d2b5cd2dd70","resolution":{"observed_at":"2026-05-19T02:51:59.748222Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.14663","last_updated":"2025-01-24T17:35:18Z","snapshot_observed_at":"2026-07-06T20:25:40.715105Z","submitted_at":"2025-01-24T17:35:18Z","title":"End-to-end workflow for machine learning-based qubit readout with QICK and hls4ml","version":1},"cited_work":{"arxiv_id":"2501.14663","doi":"10.48550/arxiv.2501.14663","metadata_source":"arxiv_reference","pith_arxiv_id":"2501.14663","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"End-to-end workflow for machine learning-based qubit readout with qick and hls4ml","venue":"ArXiv.org","work_id":"28b324f6-9b75-43f2-bfc6-b93e72a5baca","year":2025},"citing_paper":{"arxiv_id":"2604.25863","last_updated":"2026-06-19T10:55:36Z","snapshot_observed_at":"2026-08-08T20:08:07.076361Z","submitted_at":"2026-04-28T17:00:53Z","title":"MCMit: Mid-Circuit Measurement Error Mitigation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-07T16:35:31.846027Z"},"links":{"cited_paper":"/paper/2501.14663","citing_paper":"/paper/2604.25863"},"observation_digest":"sha256:317be7250e0f4962e43259617ce482f217413c0af7aaddcd319752fa6d7c2f3e","observation_id":"351627ef-d614-44d0-b1cc-9fce4ca906fa","resolution":{"observed_at":"2026-05-11T23:36:39.702512Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.14663","last_updated":"2025-01-24T17:35:18Z","snapshot_observed_at":"2026-07-06T20:25:40.715105Z","submitted_at":"2025-01-24T17:35:18Z","title":"End-to-end workflow for machine learning-based qubit readout with QICK and hls4ml","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.14663","snapshot_observed_at":"2026-08-02T02:37:17.118222Z","title":"Di Guglielmoet al., End-to-End Workflow for Machine- Learning-Based Qubit Readout With QICK and hls4ml, IEEE Trans","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.14293","last_updated":"2026-07-15T18:56:46Z","snapshot_observed_at":"2026-08-06T06:00:17.150575Z","submitted_at":"2026-07-15T18:56:46Z","title":"Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T02:37:17.118222Z"},"links":{"cited_paper":"/paper/2501.14663","citing_paper":"/paper/2607.14293"},"observation_digest":"sha256:f0ac103a9131501efab41b54b79883d4b5de3d0f5475a1ada0c6788c1207acf9","observation_id":"f6310275-a98b-4f03-811a-d4f337c48e07","resolution":{"observed_at":"2026-08-02T02:37:17.118222Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.14663","last_updated":"2025-01-24T17:35:18Z","snapshot_observed_at":"2026-07-06T20:25:40.715105Z","submitted_at":"2025-01-24T17:35:18Z","title":"End-to-end workflow for machine learning-based qubit readout with QICK and hls4ml","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.14663","snapshot_observed_at":"2026-08-04T18:03:19.495282Z","title":"Dixit, Farah Fahim, Zhaxylyk Kudy- shev, Santiago Lopez, Ruichao Ma, Gabriel N","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.01939","last_updated":"2026-08-03T09:13:15Z","snapshot_observed_at":"2026-08-07T03:08:59.025659Z","submitted_at":"2026-08-03T09:13:15Z","title":"Oraqle: An Empirical Analysis of Qubit Readout and Discriminators in Quantum Error Correction","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T18:03:19.495282Z"},"links":{"cited_paper":"/paper/2501.14663","citing_paper":"/paper/2608.01939"},"observation_digest":"sha256:2eb91851e80dcfe3e857c03e0ba56bf67bc95c774feab672aaf154c3b0be558d","observation_id":"cfc7e0d7-14d6-4667-a6e7-5cb0f4d67fa9","resolution":{"observed_at":"2026-08-04T18:03:19.495282Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2501.14663/citation-record","integrity":"/paper/2501.14663/integrity","json":"/paper/2501.14663/citation-record.json","paper":"/paper/2501.14663"},"outbound":[],"paper":{"arxiv_id":"2501.14663","last_updated":"2025-01-24T17:35:18Z","latest_version":1,"primary_category":"quant-ph","snapshot_observed_at":"2026-07-06T20:25:40.715105Z","submitted_at":"2025-01-24T17:35:18Z","title":"End-to-end workflow for machine learning-based qubit readout with QICK and hls4ml"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2501.14663."}