{"as_of":"2026-08-08T12:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:24a7c62538b348eb6f33d34283e5c233b010df55044d782d238f55732ecfac33","coverage":[{"denominator":33,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":33,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:11:40.868023Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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":"2026-08-03T14:51:00.237466Z","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":"2026-07-03T01:37:31.172555Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"cited_work":{"arxiv_id":"2505.22514","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.22514","snapshot_observed_at":"2026-07-13T01:17:42.684128Z","title":"Pawlowski, P","venue":null,"work_id":"882f4228-639f-4d41-b92b-bdeebae982e8","year":2025},"citing_paper":{"arxiv_id":"2509.03952","last_updated":"2026-02-02T11:50:17Z","snapshot_observed_at":"2026-08-04T07:24:13.244404Z","submitted_at":"2025-09-04T07:27:11Z","title":"Quantum-inspired dynamical models on quantum and classical annealers","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-18T19:31:41.381489Z"},"links":{"cited_paper":"/paper/2505.22514","citing_paper":"/paper/2509.03952"},"observation_digest":"sha256:02b7755ec0a2fb0218aa6a63596af7f11acd191dc42cb98b3d837b447803f3ae","observation_id":"d16f9dd5-4e6f-4b9a-9764-5638ffc819ad","resolution":{"observed_at":"2026-07-13T01:17:42.684128Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"cited_work":{"arxiv_id":"2505.22514","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.22514","snapshot_observed_at":"2026-07-13T01:17:42.684128Z","title":"Pawlowski, P","venue":null,"work_id":"882f4228-639f-4d41-b92b-bdeebae982e8","year":2025},"citing_paper":{"arxiv_id":"2510.06337","last_updated":"2026-02-10T13:51:01Z","snapshot_observed_at":"2026-08-07T11:49:41.072747Z","submitted_at":"2025-10-07T18:02:29Z","title":"Recent quantum runtime (dis)advantages","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-18T08:53:10.477673Z"},"links":{"cited_paper":"/paper/2505.22514","citing_paper":"/paper/2510.06337"},"observation_digest":"sha256:0bbecc49f0d9207e1f17071b7908cf90bdf7b2dfa82cfa3e80079f1ad6d6e9a1","observation_id":"ee6c1a5d-3d8a-4664-8b3e-94e3d8deda96","resolution":{"observed_at":"2026-07-13T01:17:42.684128Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.22514","snapshot_observed_at":"2026-08-03T14:51:00.237466Z","title":"Pawlowski, P","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.19340","last_updated":"2026-06-03T08:06:31Z","snapshot_observed_at":"2026-08-08T04:48:17.021843Z","submitted_at":"2025-12-22T12:36:20Z","title":"EMU circulation planning for Silesian Railways: case study and a quantum approach","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-03T14:51:00.237466Z"},"links":{"cited_paper":"/paper/2505.22514","citing_paper":"/paper/2512.19340"},"observation_digest":"sha256:c5c97b9257406cc71ca147b1ada5f42eb07a265c4edc63f4a3819a006b87869e","observation_id":"39dddd42-6653-4a3d-8f15-7f5aa48bb067","resolution":{"observed_at":"2026-08-03T14:51:00.237466Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.22514","snapshot_observed_at":"2026-08-03T12:07:43.780274Z","title":"Pawłowski, P","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.04402","last_updated":"2026-01-07T21:18:54Z","snapshot_observed_at":"2026-08-03T12:07:40.214065Z","submitted_at":"2026-01-07T21:18:54Z","title":"Thermodynamic significance of QUBO encoding on quantum annealers","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-03T12:07:43.780274Z"},"links":{"cited_paper":"/paper/2505.22514","citing_paper":"/paper/2601.04402"},"observation_digest":"sha256:a2e36420626b9d96920ff27a1edb4285666a9d9b978c0b6920f28beb070972bb","observation_id":"c9528d3c-cda0-499d-b59c-1d9939dba552","resolution":{"observed_at":"2026-08-03T12:07:43.780274Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"cited_work":{"arxiv_id":"2505.22514","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.22514","snapshot_observed_at":"2026-07-13T01:17:42.684128Z","title":"Pawlowski, P","venue":null,"work_id":"882f4228-639f-4d41-b92b-bdeebae982e8","year":2025},"citing_paper":{"arxiv_id":"2604.01050","last_updated":"2026-04-07T10:26:32Z","snapshot_observed_at":"2026-07-06T22:51:31.209896Z","submitted_at":"2026-04-01T15:54:12Z","title":"Simulated Bifurcation Quantum Annealing","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-13T22:04:32.564906Z"},"links":{"cited_paper":"/paper/2505.22514","citing_paper":"/paper/2604.01050"},"observation_digest":"sha256:79d1378f9819e2141d9cd59239d77e64089eee8804b591db519088233d40ae9b","observation_id":"b7726957-c63d-4dc6-b61d-1c70eed11a4e","resolution":{"observed_at":"2026-07-13T01:17:42.684128Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"cited_work":{"arxiv_id":"2505.22514","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.22514","snapshot_observed_at":"2026-07-13T01:17:42.684128Z","title":"Pawlowski, P","venue":null,"work_id":"882f4228-639f-4d41-b92b-bdeebae982e8","year":2025},"citing_paper":{"arxiv_id":"2606.09773","last_updated":"2026-06-08T17:33:15Z","snapshot_observed_at":"2026-08-02T04:35:43.968395Z","submitted_at":"2026-06-08T17:33:15Z","title":"From Pauli Strings to Quantum Dynamics: A Unified Characterization","version":1},"reference_index":236,"source":"pdf_text","source_observed_at":"2026-06-27T16:24:42.160089Z"},"links":{"cited_paper":"/paper/2505.22514","citing_paper":"/paper/2606.09773"},"observation_digest":"sha256:873b849ca5870019f6142f64de55eecac2ed2147450f64331b0c28fe988a6477","observation_id":"350581f5-8d95-4a32-8912-5a020afcacc4","resolution":{"observed_at":"2026-07-13T01:17:42.684128Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.22514/citation-record","integrity":"/paper/2505.22514/integrity","json":"/paper/2505.22514/citation-record.json","paper":"/paper/2505.22514"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:11:12.303661Z","title":"Munoz-Bauza and D","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:12.303661Z"},"links":{"citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:2e57d6739ee0a857388fd1c0a63622cb84afee59fdd2511cdbb9fe2946f29281","observation_id":"656e9fbb-93ac-40a6-9b7f-80056cc9491e","resolution":{"observed_at":"2026-08-07T13:11:12.303661Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:11:37.789330Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:37.789330Z"},"links":{"citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:94fb2d1fd575df721db607082f6d8d4f0f82333eaedd4aa9ebaf4785b04cc6f9","observation_id":"2bd99eaf-a3e6-4ea9-af53-5be549586a1c","resolution":{"observed_at":"2026-08-07T13:11:37.789330Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:11:37.827730Z","title":"Boixo, S","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:37.827730Z"},"links":{"citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:cfc1bea45f3de2a9a4ae3565b916b795e0c8ca2d018e5f2cd3ee72e46e81fe88","observation_id":"02536bdb-bfa9-4c82-99f9-b96575e20358","resolution":{"observed_at":"2026-08-07T13:11:37.827730Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:11:44.178107Z","title":"Morvan, B","venue":null,"work_id":"ffb751bc-5dcb-4850-a779-78a429749fac","year":2024},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:37.944587Z"},"links":{"citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:18ce682b33f4f81abaf1516210ff177a5c736377fcfda22daff4485cf613f9fa","observation_id":"c7abd6c1-20c9-4138-8e85-29a0a1cc509a","resolution":{"observed_at":"2026-08-07T13:11:44.270516Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:11:38.101087Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:38.101087Z"},"links":{"citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:1f2ac3c74a64729c179978acaaec09f1598786681d06618a130a610596b1e1e0","observation_id":"c9285a7d-b050-49d8-8854-cd22220e87c2","resolution":{"observed_at":"2026-08-07T13:11:38.101087Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2405.00789","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:11:41.594911Z","title":"Tanggara, M","venue":null,"work_id":"b50db420-2b03-49d5-9db0-7675f2b1a933","year":2024},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:38.147537Z"},"links":{"citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:1fbfdb195293b496555a83753440f3e42eb5751a00dd0d2dbd5a1a0ca2e62edd","observation_id":"90a79a67-cd6d-43ea-9aa4-b42af157c446","resolution":{"observed_at":"2026-08-07T13:11:41.711053Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:11:43.984337Z","title":"Aharonov, X","venue":null,"work_id":"d126db40-5121-416d-930f-63308b58a8a0","year":2023},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:38.205461Z"},"links":{"citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:1f0ad56d7d174913b799293bd3685670ed1c4a1aa1ae24516bf8aa096e248867","observation_id":"bdd18d1c-1af2-4649-abcc-eb2ef96b2317","resolution":{"observed_at":"2026-08-07T13:11:44.068565Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:11:43.795730Z","title":"Tindall, M","venue":null,"work_id":"a0b2d743-db44-49fe-9654-9407ef0d70a1","year":2024},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:38.293181Z"},"links":{"citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:6a049695d6a3fd997ce56cd0b5c9dd15d2715833b5311819cc19e6881e2f1d92","observation_id":"47bb7acc-6079-4ca9-a5ea-319f7b12ac10","resolution":{"observed_at":"2026-08-07T13:11:43.897494Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:11:38.363187Z","title":"Arute, K","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:38.363187Z"},"links":{"citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:42b4f5ad25f93a98c4857af3ddd9d55aaf3263243bb23455e219d9d167976027","observation_id":"089ec82d-6dfb-41e4-a026-1fde0e42b32c","resolution":{"observed_at":"2026-08-07T13:11:38.363187Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:11:43.614609Z","title":null,"venue":null,"work_id":"2ff449e8-cbdb-4b7b-b32a-3621b8ca54fd","year":2021},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:38.412783Z"},"links":{"citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:b1cc19e6d6edb35449624c26b40055cedbff4a4c9eb036bb6e50a7b093869e4a","observation_id":"06da5408-3de7-451a-8733-262d99d9f237","resolution":{"observed_at":"2026-08-07T13:11:43.709803Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:11:38.469615Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:38.469615Z"},"links":{"citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:d84d669e30c37666922f2ce4e7aee39048d432ca4b77d7b7d6bbd0e6d64cead3","observation_id":"4222cf9b-9cda-49b6-890f-57ea2030e536","resolution":{"observed_at":"2026-08-07T13:11:38.469615Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:11:38.603901Z","title":"Preskill, Quantum Computing in the NISQ era and beyond, Quantum2, 79 (2018)","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:38.603901Z"},"links":{"citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:2ca63dbb54c493bfbb5753b2e27dd79a923aad0bc538e8cdd7d9dbf3c7b632ea","observation_id":"5b1d4dff-5e7a-4a8b-8aff-a593f3cd4053","resolution":{"observed_at":"2026-08-07T13:11:38.603901Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:11:38.744206Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:38.744206Z"},"links":{"citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:80c69eeba8793b32be57e74dc0df15d18874fe5c8809f1362c08518bc655a65a","observation_id":"8926acfb-c9db-4367-a9af-e05d719670bf","resolution":{"observed_at":"2026-08-07T13:11:38.744206Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.08247","last_updated":"2025-03-11T10:09:37Z","snapshot_observed_at":"2026-08-07T17:13:40.316232Z","submitted_at":"2025-03-11T10:09:37Z","title":"Challenging the Quantum Advantage Frontier with Large-Scale Classical Simulations of Annealing Dynamics","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.08247","snapshot_observed_at":"2026-08-07T13:11:38.937457Z","title":"Mauron and G","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:38.937457Z"},"links":{"cited_paper":"/paper/2503.08247","citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:5b10014d95952daa2ebff989e348ee1a1f47e1da8bedaa10d0b3da6b38725476","observation_id":"c7c93a7e-ada8-4625-bd52-3985f23da47e","resolution":{"observed_at":"2026-08-07T13:11:38.937457Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.05693","last_updated":"2026-05-27T20:25:50Z","snapshot_observed_at":"2026-08-07T17:21:19.339412Z","submitted_at":"2025-03-07T18:58:03Z","title":"Dynamics of disordered quantum systems with two- and three-dimensional tensor networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.05693","snapshot_observed_at":"2026-08-07T13:11:39.042279Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:39.042279Z"},"links":{"cited_paper":"/paper/2503.05693","citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:e63242cac8f0dee503a84cdb6ad2220a46e0c2e3755bbd85577f40b6f4a9e1fd","observation_id":"147f7ee1-e91e-43d9-9d9d-7900229ff6f9","resolution":{"observed_at":"2026-08-07T13:11:39.042279Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:11:39.114625Z","title":"Glover, G","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:39.114625Z"},"links":{"citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:a1773ddfcf02b8b3417068a27ee7af130d4a7a7fbb08d764be463517792deed3","observation_id":"2ebc8933-e7e5-469c-9c36-10ee46ef2413","resolution":{"observed_at":"2026-08-07T13:11:39.114625Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:11:39.241625Z","title":"Boothby, A","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:39.241625Z"},"links":{"citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:0e3520f1bc2811b546ef5a260c851edb26e27b8a0cee13ec60d1856a87b5157b","observation_id":"bd97395f-cf5a-478c-a1a7-b69f159c84ef","resolution":{"observed_at":"2026-08-07T13:11:39.241625Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:11:39.335625Z","title":"Kochenberger, J.-K","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:39.335625Z"},"links":{"citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:7677f69b2edcb7160dba597ab8350521fe1c2f8db8e771db7d3a166902620fa6","observation_id":"a61d60b5-db7e-480a-bd93-717f7ad32e08","resolution":{"observed_at":"2026-08-07T13:11:39.335625Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:11:39.422224Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:39.422224Z"},"links":{"citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:6184681b44d861fa46379f46cb9c0f1b8f875adf1a8c38fb13f0b5240bb01e16","observation_id":"7cc06677-cc24-464f-be49-49d2e31bd310","resolution":{"observed_at":"2026-08-07T13:11:39.422224Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:11:39.523197Z","title":"Delahaye, S","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:39.523197Z"},"links":{"citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:3348d3baeb2551bc9f5a2d7f20f402c0f4fe981f39186286ead94f88a05a5b57","observation_id":"1151f952-c03a-4efc-9c83-a715d588da3e","resolution":{"observed_at":"2026-08-07T13:11:39.523197Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:11:43.362299Z","title":null,"venue":null,"work_id":"ddf92e31-c407-4b73-a205-dab17556e9cc","year":2019},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:39.638593Z"},"links":{"citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:831fc9715e6435c0fa98692d85411f88a62079c1835e23688992d6af1ec8fbd4","observation_id":"43252ecd-2638-4936-8a20-667a095870eb","resolution":{"observed_at":"2026-08-07T13:11:43.454745Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:11:43.005881Z","title":null,"venue":null,"work_id":"8d5f5b6f-e553-495e-b1e5-756e0ef06367","year":2021},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:39.739101Z"},"links":{"citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:dacf68bb913514cfc4d9bc93ae8efe873f0b73939264e7bd2c50b64cae572cbb","observation_id":"b1ca7792-041c-482f-a8e7-53961918b3a9","resolution":{"observed_at":"2026-08-07T13:11:43.120056Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:11:39.829541Z","title":"Goto, Bifurcation-based adiabatic quantum computa- tion with a nonlinear oscillator network, Scientific Re- ports6, 21686 (2016)","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:39.829541Z"},"links":{"citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:8a0d4139b8e1d3fc59b8fc0046def092b829f3adfe59ab78e32754e85123d703","observation_id":"ad92cfa1-ceb3-47de-8810-f7f80bc55b0f","resolution":{"observed_at":"2026-08-07T13:11:39.829541Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:11:42.745922Z","title":null,"venue":null,"work_id":"34bf2aa5-cc12-47fb-a901-78bef02935a8","year":2025},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:39.962979Z"},"links":{"citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:981d68bbe515766a722b5940b974a9b20536262993df32b17dd6af96dacfaf0a","observation_id":"af66126a-85b1-4ef9-9a28-ed1592afc3f8","resolution":{"observed_at":"2026-08-07T13:11:42.874762Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:11:42.489737Z","title":null,"venue":null,"work_id":"f1ba1abd-cb20-4096-b96f-c0d48b88daee","year":2014},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:40.030196Z"},"links":{"citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:9a91f05ed15013cb5a9bef377419ae2f0c596e6e7443ad0a7a38b8ad968a04b5","observation_id":"69aad37b-3309-453f-a417-6092bafd83fe","resolution":{"observed_at":"2026-08-07T13:11:42.582680Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:11:40.137836Z","title":"Munoz Bauza and D","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:40.137836Z"},"links":{"citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:a0b11b09a2355fb556d41307271c71c013838dc96ecdff225116631c86732a8f","observation_id":"902452bb-74a7-4535-9453-1966d0d3997d","resolution":{"observed_at":"2026-08-07T13:11:40.137836Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:11:40.254423Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:40.254423Z"},"links":{"citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:bccbc8bab4927417d793486d6ed29d6b56dd264f657f4543d4c8ce0e297c84fb","observation_id":"17562f31-5b5a-4253-8b7d-ccfff4ab1f73","resolution":{"observed_at":"2026-08-07T13:11:40.254423Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:11:40.352234Z","title":"Lucas, Ising formulations of many np problems, Fron- tiers in Physics2, 10.3389/fphy.2014.00005 (2014)","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:40.352234Z"},"links":{"citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:c15cc55a8cb43b583f5093ecfc5f1e6f21781e04d0e4897903362bc241546eb7","observation_id":"81ae28fb-aef1-4115-a3aa-fea362fc1ab9","resolution":{"observed_at":"2026-08-07T13:11:40.352234Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:11:42.215176Z","title":null,"venue":null,"work_id":"83ade68e-c257-469a-b8d3-5c2d7f1bca7f","year":null},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:40.431168Z"},"links":{"citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:cc13c70b2837380a5232402991b27d33be326cf65d22f98b15957956f734e04e","observation_id":"e0554f7a-779a-4673-91cd-68c3c50e8290","resolution":{"observed_at":"2026-08-07T13:11:42.313075Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.15427","last_updated":"2025-09-02T18:03:22Z","snapshot_observed_at":"2026-08-07T16:51:13.784312Z","submitted_at":"2025-03-19T17:08:55Z","title":"Direct comparison of stochastic driven nonlinear dynamical systems for combinatorial optimization","version":3},"cited_work":{"arxiv_id":"2503.15427","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.15427","snapshot_observed_at":"2026-08-07T13:11:41.108521Z","title":"Direct comparison of stochastic driven nonlinear dynamical systems for combinatorial optimization","venue":"quant-ph","work_id":"9da36d22-435d-4792-8620-124fb3ebc3b2","year":2025},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:40.514534Z"},"links":{"cited_paper":"/paper/2503.15427","citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:d3e220de8f54ffd39697b6512e5a376c993a3ee5d8546621428eccd1dc8b9369","observation_id":"8410546f-7836-4527-a3c3-927e8a94e4ba","resolution":{"observed_at":"2026-08-07T13:11:41.330874Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.19221","last_updated":"2026-05-04T14:14:47Z","snapshot_observed_at":"2026-07-31T09:31:03.127566Z","submitted_at":"2025-01-31T15:27:50Z","title":"VeloxQ: A Fast and Efficient QUBO Solver","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.19221","snapshot_observed_at":"2026-08-07T13:11:40.687551Z","title":"Pawlowski, J","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:40.687551Z"},"links":{"cited_paper":"/paper/2501.19221","citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:2b3eb010cff5e89d4ad940b7e6f8eb14c8c4dd0c83edc7f7a5b7066037e38ea6","observation_id":"80968262-37d2-47a3-b618-478ac95eb354","resolution":{"observed_at":"2026-08-07T13:11:40.687551Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:11:40.776637Z","title":"Zhang and J","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:40.776637Z"},"links":{"citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:22c8e548d1f4e81cc19550f4bf0792a97df1e7c409558d9cc68e818ae69ef4d1","observation_id":"1795a214-5674-43da-87c1-061afe8ef9fc","resolution":{"observed_at":"2026-08-07T13:11:40.776637Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:11:41.869591Z","title":null,"venue":null,"work_id":"f9d75788-b5fc-4a8b-a561-e300df8f7790","year":2025},"citing_paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T13:11:40.868023Z"},"links":{"citing_paper":"/paper/2505.22514"},"observation_digest":"sha256:4ae006270274af771e86466286160b3ab26372a90182d9c547117f6644e12bf8","observation_id":"98efaae4-5d77-46dd-9d90-739a756c56d7","resolution":{"observed_at":"2026-08-07T13:11:42.031507Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.22514","last_updated":"2026-07-10T06:46:06Z","latest_version":2,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-07T13:02:58.824788Z","submitted_at":"2025-05-28T16:02:57Z","title":"Toward quantum scaling advantage in approximate optimization"},"reference_resolution":{"displayed":33,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":28,"verified_exact":2,"verified_fuzzy":3},"total_outbound_references":33},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 6 inbound Pith citation observations for arXiv:2505.22514."}