{"as_of":"2026-08-07T16:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ef50a119f21f2ba209f50e1b4404b95c3aae6e315c46f55f14fa190927f5b00e","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T16:32:18.719380Z","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":"2502.14372","last_updated":"2025-02-20T09:05:34Z","snapshot_observed_at":"2026-07-06T20:39:37.922156Z","submitted_at":"2025-02-20T09:05:34Z","title":"Discovering highly efficient low-weight quantum error-correcting codes with reinforcement learning","version":1},"cited_work":{"arxiv_id":"2502.14372","doi":"10.48550/arxiv.2502.14372","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.14372","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Discov- ering highly efficient low-weight quantum error-correcting codes with reinforcement learning","venue":"ArXiv.org","work_id":"7a40ee9a-c327-4d30-9ddf-4ce63364da94","year":2025},"citing_paper":{"arxiv_id":"2506.11552","last_updated":"2026-04-10T07:58:08Z","snapshot_observed_at":"2026-08-04T17:13:48.279017Z","submitted_at":"2025-06-13T08:02:37Z","title":"Learning Encodings by Maximizing State Distinguishability: Variational Quantum Error Correction","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-19T09:56:45.446758Z"},"links":{"cited_paper":"/paper/2502.14372","citing_paper":"/paper/2506.11552"},"observation_digest":"sha256:01ea6f23be2cb6bec7a343a87cfb6a94f6ed0a04accbbf406db29b214ba8367e","observation_id":"5ccf63b3-618c-4e6b-b347-50eb0cb90913","resolution":{"observed_at":"2026-05-19T09:57:13.992306Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14372","last_updated":"2025-02-20T09:05:34Z","snapshot_observed_at":"2026-07-06T20:39:37.922156Z","submitted_at":"2025-02-20T09:05:34Z","title":"Discovering highly efficient low-weight quantum error-correcting codes with reinforcement learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.14372","snapshot_observed_at":"2026-08-06T16:32:18.719380Z","title":"Discov- ering highly efficient low-weight quantum error-correcting codes with reinforcement learning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.13496","last_updated":"2025-07-17T19:05:52Z","snapshot_observed_at":"2026-08-06T16:20:55.301689Z","submitted_at":"2025-07-17T19:05:52Z","title":"Growing Sparse Quantum Codes from a Seed","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T16:32:18.719380Z"},"links":{"cited_paper":"/paper/2502.14372","citing_paper":"/paper/2507.13496"},"observation_digest":"sha256:8f38bcf025525759fb66977d2ef9e483d23db61e68558aa85245cef0ae531d31","observation_id":"6e63be38-ac6e-4488-b78f-afd8caea545c","resolution":{"observed_at":"2026-08-06T16:32:18.719380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14372","last_updated":"2025-02-20T09:05:34Z","snapshot_observed_at":"2026-07-06T20:39:37.922156Z","submitted_at":"2025-02-20T09:05:34Z","title":"Discovering highly efficient low-weight quantum error-correcting codes with reinforcement learning","version":1},"cited_work":{"arxiv_id":"2502.14372","doi":"10.48550/arxiv.2502.14372","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.14372","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Discov- ering highly efficient low-weight quantum error-correcting codes with reinforcement learning","venue":"ArXiv.org","work_id":"7a40ee9a-c327-4d30-9ddf-4ce63364da94","year":2025},"citing_paper":{"arxiv_id":"2603.28846","last_updated":"2026-04-15T16:50:58Z","snapshot_observed_at":"2026-07-06T22:51:09.377351Z","submitted_at":"2026-03-30T17:59:25Z","title":"Securing Elliptic Curve Cryptocurrencies against Quantum Vulnerabilities: Resource Estimates and Mitigations","version":2},"reference_index":120,"source":"pdf_text","source_observed_at":"2026-05-14T21:29:00.763638Z"},"links":{"cited_paper":"/paper/2502.14372","citing_paper":"/paper/2603.28846"},"observation_digest":"sha256:c1d50c6f4d86b6145570dde1c57c315509b1a37c9548c575f71efa46971e94fc","observation_id":"238edd80-13e1-415d-a792-2086dc79ef30","resolution":{"observed_at":"2026-05-14T21:29:28.474651Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14372","last_updated":"2025-02-20T09:05:34Z","snapshot_observed_at":"2026-07-06T20:39:37.922156Z","submitted_at":"2025-02-20T09:05:34Z","title":"Discovering highly efficient low-weight quantum error-correcting codes with reinforcement learning","version":1},"cited_work":{"arxiv_id":"2502.14372","doi":"10.48550/arxiv.2502.14372","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.14372","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Discov- ering highly efficient low-weight quantum error-correcting codes with reinforcement learning","venue":"ArXiv.org","work_id":"7a40ee9a-c327-4d30-9ddf-4ce63364da94","year":2025},"citing_paper":{"arxiv_id":"2606.24808","last_updated":"2026-06-23T16:56:24Z","snapshot_observed_at":"2026-08-03T10:42:33.780102Z","submitted_at":"2026-06-23T16:56:24Z","title":"Large-Language-Model Discovery of Quantum LDPC Codes through Structured Concept Evolution","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-06-25T23:52:24.977996Z"},"links":{"cited_paper":"/paper/2502.14372","citing_paper":"/paper/2606.24808"},"observation_digest":"sha256:5d735e65d7bcbca1c8f7f0b62615c2d4f1c030bf68bc5203f3176e01072b5826","observation_id":"b7c27d63-2b69-4e82-9822-667412877eb8","resolution":{"observed_at":"2026-07-04T17:09:59.409702Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14372","last_updated":"2025-02-20T09:05:34Z","snapshot_observed_at":"2026-07-06T20:39:37.922156Z","submitted_at":"2025-02-20T09:05:34Z","title":"Discovering highly efficient low-weight quantum error-correcting codes with reinforcement learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.14372","snapshot_observed_at":"2026-08-01T01:20:46.272242Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25865","last_updated":"2026-07-28T15:31:26Z","snapshot_observed_at":"2026-08-03T03:26:50.763218Z","submitted_at":"2026-07-28T15:31:26Z","title":"OmniQEC: discovering practical quantum error-correcting codes by an AI scientist","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-01T01:20:46.272242Z"},"links":{"cited_paper":"/paper/2502.14372","citing_paper":"/paper/2607.25865"},"observation_digest":"sha256:313d932c0fe04b8d382629f66e1023858301f3e60a623856ffe800058792b5d1","observation_id":"f79f95a2-37e2-42ad-beb2-2a2dcb3afac8","resolution":{"observed_at":"2026-08-01T01:20:46.272242Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14372","last_updated":"2025-02-20T09:05:34Z","snapshot_observed_at":"2026-07-06T20:39:37.922156Z","submitted_at":"2025-02-20T09:05:34Z","title":"Discovering highly efficient low-weight quantum error-correcting codes with reinforcement learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.14372","snapshot_observed_at":"2026-08-05T05:17:04.878218Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.03948","last_updated":"2026-08-04T17:12:42Z","snapshot_observed_at":"2026-08-07T15:37:14.208812Z","submitted_at":"2026-08-04T17:12:42Z","title":"Real-time decoding of quantum error correction codes using high-performance computing","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T05:17:04.878218Z"},"links":{"cited_paper":"/paper/2502.14372","citing_paper":"/paper/2608.03948"},"observation_digest":"sha256:f930c71c6a956fba1dc8e1a0c8013b8c22efc43440d8ccdfbaae0855fb15edee","observation_id":"e73d1b82-00ab-43dc-8381-cd8fc70b4795","resolution":{"observed_at":"2026-08-05T05:17:04.878218Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2502.14372/citation-record","integrity":"/paper/2502.14372/integrity","json":"/paper/2502.14372/citation-record.json","paper":"/paper/2502.14372"},"outbound":[],"paper":{"arxiv_id":"2502.14372","last_updated":"2025-02-20T09:05:34Z","latest_version":1,"primary_category":"quant-ph","snapshot_observed_at":"2026-07-06T20:39:37.922156Z","submitted_at":"2025-02-20T09:05:34Z","title":"Discovering highly efficient low-weight quantum error-correcting codes with reinforcement learning"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2502.14372."}