{"as_of":"2026-08-07T07:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ca6b0123d50ef1e85aea69d60c79fecff5369fa0764c9a04ac4aad1ec24192d6","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":"2026-08-07T05:19:46.686681Z","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":3,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2307.09025","last_updated":"2023-07-18T07:34:02Z","snapshot_observed_at":"2026-08-06T22:02:08.904983Z","submitted_at":"2023-07-18T07:34:02Z","title":"qecGPT: decoding Quantum Error-correcting Codes with Generative Pre-trained Transformers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09025","snapshot_observed_at":"2026-08-07T05:19:46.686681Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.08331","last_updated":"2025-06-10T01:35:21Z","snapshot_observed_at":"2026-08-07T05:11:06.863210Z","submitted_at":"2025-06-10T01:35:21Z","title":"Correcting a noisy quantum computer using a quantum computer","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T05:19:46.686681Z"},"links":{"cited_paper":"/paper/2307.09025","citing_paper":"/paper/2506.08331"},"observation_digest":"sha256:42d4614926fa97378bba5e19eef4f7e1674b4377c98fe35b816bd43cbf0bb7d0","observation_id":"f48462b9-4e00-4760-86e3-10a4208649ba","resolution":{"observed_at":"2026-08-07T05:19:46.686681Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09025","last_updated":"2023-07-18T07:34:02Z","snapshot_observed_at":"2026-08-06T22:02:08.904983Z","submitted_at":"2023-07-18T07:34:02Z","title":"qecGPT: decoding Quantum Error-correcting Codes with Generative Pre-trained Transformers","version":1},"cited_work":{"arxiv_id":"2307.09025","doi":"10.48550/arxiv.2307.09025","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.09025","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"qecGPT: decoding quantum error- correcting codes with generative pre-trained transformers.arXiv preprint arXiv:2307.09025","venue":"arXiv (Cornell University)","work_id":"50f8a2ac-5e4c-409d-8493-eee50268981a","year":2023},"citing_paper":{"arxiv_id":"2506.16113","last_updated":"2025-06-19T08:04:04Z","snapshot_observed_at":"2026-07-06T21:44:42.748650Z","submitted_at":"2025-06-19T08:04:04Z","title":"Fully convolutional 3D neural network decoders for surface codes with syndrome circuit noise","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-19T08:42:30.694344Z"},"links":{"cited_paper":"/paper/2307.09025","citing_paper":"/paper/2506.16113"},"observation_digest":"sha256:e4035eb8a70ced3c1a03b97139dd166be572f1919976dbdfcb8921d70a676483","observation_id":"a855906e-26be-40c3-a929-4ab86e9dfea5","resolution":{"observed_at":"2026-05-19T08:43:04.589547Z","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":"2026-05-23T15:25:43.386632+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T15:25:43.386632+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09025","last_updated":"2023-07-18T07:34:02Z","snapshot_observed_at":"2026-08-06T22:02:08.904983Z","submitted_at":"2023-07-18T07:34:02Z","title":"qecGPT: decoding Quantum Error-correcting Codes with Generative Pre-trained Transformers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09025","snapshot_observed_at":"2026-08-05T05:50:37.473140Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-06T23:10:35.759751Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:37.473140Z"},"links":{"cited_paper":"/paper/2307.09025","citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:2c068dbfef6f3e709ec89c8d442c94bbb08831113ddecf8530e4b3733e42e336","observation_id":"d8dfb6f5-b888-46c9-ae4e-4bff05e7957c","resolution":{"observed_at":"2026-08-05T05:50:37.473140Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09025","last_updated":"2023-07-18T07:34:02Z","snapshot_observed_at":"2026-08-06T22:02:08.904983Z","submitted_at":"2023-07-18T07:34:02Z","title":"qecGPT: decoding Quantum Error-correcting Codes with Generative Pre-trained Transformers","version":1},"cited_work":{"arxiv_id":"2307.09025","doi":"10.48550/arxiv.2307.09025","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.09025","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"qecGPT: decoding quantum error- correcting codes with generative pre-trained transformers.arXiv preprint arXiv:2307.09025","venue":"arXiv (Cornell University)","work_id":"50f8a2ac-5e4c-409d-8493-eee50268981a","year":2023},"citing_paper":{"arxiv_id":"2605.12046","last_updated":"2026-05-12T12:26:43Z","snapshot_observed_at":"2026-07-06T23:23:48.960874Z","submitted_at":"2026-05-12T12:26:43Z","title":"Rethink the Role of Neural Decoders in Quantum Error Correction","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-05-13T04:54:29.757965Z"},"links":{"cited_paper":"/paper/2307.09025","citing_paper":"/paper/2605.12046"},"observation_digest":"sha256:50d680532ae08706817c017248dc7774e94dc86877f8833653674c9e86394707","observation_id":"7aa15e7c-94a0-4c74-8621-9cdd0a2c550b","resolution":{"observed_at":"2026-05-13T04:57:17.499656Z","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":"2026-05-23T15:25:43.386632+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T15:25:43.386632+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09025","last_updated":"2023-07-18T07:34:02Z","snapshot_observed_at":"2026-08-06T22:02:08.904983Z","submitted_at":"2023-07-18T07:34:02Z","title":"qecGPT: decoding Quantum Error-correcting Codes with Generative Pre-trained Transformers","version":1},"cited_work":{"arxiv_id":"2307.09025","doi":"10.48550/arxiv.2307.09025","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.09025","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"qecGPT: decoding quantum error- correcting codes with generative pre-trained transformers.arXiv preprint arXiv:2307.09025","venue":"arXiv (Cornell University)","work_id":"50f8a2ac-5e4c-409d-8493-eee50268981a","year":2023},"citing_paper":{"arxiv_id":"2605.17230","last_updated":"2026-05-17T02:32:52Z","snapshot_observed_at":"2026-08-06T14:31:21.021745Z","submitted_at":"2026-05-17T02:32:52Z","title":"Maximum Likelihood Decoding of Quantum Error Correction Codes","version":1},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-05-20T13:54:35.583388Z"},"links":{"cited_paper":"/paper/2307.09025","citing_paper":"/paper/2605.17230"},"observation_digest":"sha256:644eddb401c1209d2555502fd33b15658d2a7f68a714a540a125f72710370fe8","observation_id":"514b1244-b381-456c-ab1c-0ba86a28e708","resolution":{"observed_at":"2026-05-20T13:58:20.512969Z","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":"2026-05-23T15:25:43.386632+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T15:25:43.386632+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09025","last_updated":"2023-07-18T07:34:02Z","snapshot_observed_at":"2026-08-06T22:02:08.904983Z","submitted_at":"2023-07-18T07:34:02Z","title":"qecGPT: decoding Quantum Error-correcting Codes with Generative Pre-trained Transformers","version":1},"cited_work":{"arxiv_id":"2307.09025","doi":"10.48550/arxiv.2307.09025","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.09025","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"qecGPT: decoding quantum error- correcting codes with generative pre-trained transformers.arXiv preprint arXiv:2307.09025","venue":"arXiv (Cornell University)","work_id":"50f8a2ac-5e4c-409d-8493-eee50268981a","year":2023},"citing_paper":{"arxiv_id":"2605.17230","last_updated":"2026-05-17T02:32:52Z","snapshot_observed_at":"2026-08-06T14:31:21.021745Z","submitted_at":"2026-05-17T02:32:52Z","title":"Maximum Likelihood Decoding of Quantum Error Correction Codes","version":1},"reference_index":101,"source":"pdf_text","source_observed_at":"2026-05-20T13:54:35.583388Z"},"links":{"cited_paper":"/paper/2307.09025","citing_paper":"/paper/2605.17230"},"observation_digest":"sha256:eb00b860f7a10dfcde35320487acccd2d34f7bfe07ed1aba42621992626cb06f","observation_id":"bd27c8d0-980c-4c96-8bfc-cde60c31c1b6","resolution":{"observed_at":"2026-05-20T13:58:20.225679Z","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":"2026-05-23T15:25:43.386632+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T15:25:43.386632+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2307.09025/citation-record","integrity":"/paper/2307.09025/integrity","json":"/paper/2307.09025/citation-record.json","paper":"/paper/2307.09025"},"outbound":[],"paper":{"arxiv_id":"2307.09025","last_updated":"2023-07-18T07:34:02Z","latest_version":1,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-06T22:02:08.904983Z","submitted_at":"2023-07-18T07:34:02Z","title":"qecGPT: decoding Quantum Error-correcting Codes with Generative Pre-trained Transformers"},"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:2307.09025."}