{"as_of":"2026-08-10T17:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:85d60c11565c77c5d5ad46d381088b52b925036e64d3330f31ed124906ef6222","coverage":[{"denominator":99,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":99,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T15:37:02.261265Z","state":"measured"},{"denominator":102,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":102,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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":"2026-08-04T07:54:13.332287Z","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":"2026-07-04T10:29:45.575829Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.15544","snapshot_observed_at":"2026-08-04T07:54:13.332287Z","title":"Effectiveness of hybrid op- timization method for quantum annealing machines,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.24237","last_updated":"2025-10-28T09:44:48Z","snapshot_observed_at":"2026-08-09T10:39:50.944997Z","submitted_at":"2025-10-28T09:44:48Z","title":"Evaluating the Performance of Direct Higher-Order Formulations in Combinatorial Optimization Problems","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T07:54:13.332287Z"},"links":{"cited_paper":"/paper/2507.15544","citing_paper":"/paper/2510.24237"},"observation_digest":"sha256:8186d1053d5ea6b9880d142491a71421571cc8be27576b919e28feaa890442b8","observation_id":"9eca6c9a-6a32-46a2-82d9-b2b19fbb520c","resolution":{"observed_at":"2026-08-04T07:54:13.332287Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"cited_work":{"arxiv_id":"2507.15544","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.15544","snapshot_observed_at":"2026-07-04T10:29:45.575829Z","title":"Effectiveness of hybrid op- timization method for quantum annealing machines","venue":null,"work_id":"fb52e50b-b6f3-4902-bb76-0c85afcf32cd","year":2025},"citing_paper":{"arxiv_id":"2601.01860","last_updated":"2026-05-13T06:27:59Z","snapshot_observed_at":"2026-07-06T22:40:41.626783Z","submitted_at":"2026-01-05T07:41:34Z","title":"High-Order Epistasis Detection Using Factorization Machine with Quadratic Optimization Annealing and MDR-Based Evaluation","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-16T17:37:18.533507Z"},"links":{"cited_paper":"/paper/2507.15544","citing_paper":"/paper/2601.01860"},"observation_digest":"sha256:1ee4d44e959ee20b750b691ee17dc9d01eab8aea636d26cf05e0a56880331bf9","observation_id":"7a58dfd1-26b0-4913-9f10-132a5caa8310","resolution":{"observed_at":"2026-05-16T17:38:10.508742Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"cited_work":{"arxiv_id":"2507.15544","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.15544","snapshot_observed_at":"2026-07-04T10:29:45.575829Z","title":"Effectiveness of hybrid op- timization method for quantum annealing machines","venue":null,"work_id":"fb52e50b-b6f3-4902-bb76-0c85afcf32cd","year":2025},"citing_paper":{"arxiv_id":"2606.23188","last_updated":"2026-06-22T11:36:27Z","snapshot_observed_at":"2026-08-08T03:21:50.011635Z","submitted_at":"2026-06-22T11:36:27Z","title":"Stage-dependent integer-binary encoding in factorization-machine black-box optimization","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-26T08:45:06.834646Z"},"links":{"cited_paper":"/paper/2507.15544","citing_paper":"/paper/2606.23188"},"observation_digest":"sha256:b7fedcbb20373329b55225c4a5a54ee634bf30571aac01bb21e996ab84d60318","observation_id":"05390d35-89c1-4463-ad3a-7d80dc6f17a7","resolution":{"observed_at":"2026-07-04T10:29:45.577687Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2507.15544/citation-record","integrity":"/paper/2507.15544/integrity","json":"/paper/2507.15544/citation-record.json","paper":"/paper/2507.15544"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:37:01.966982Z","title":"Reducibility among combinatorial problems,","venue":null,"work_id":null,"year":1972},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:01.966982Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:f316bd91e808b764908d459a6a4d64336b4ee5b0f03ce077126b66fa7d65b7d7","observation_id":"f1aaba73-bef4-4775-9883-32f1a9359d63","resolution":{"observed_at":"2026-08-06T15:37:01.966982Z","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":"2026-08-06T15:37:01.970697Z","title":"Ising machines as hardware solvers of combinatorial optimization problems,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:01.970697Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:66f7377b1eccd817006f14c0fe43dc896bbb94df0f51bd453caa9f8d7ad85db2","observation_id":"9789d513-e9ed-4197-a46a-e1dffce08dab","resolution":{"observed_at":"2026-08-06T15:37:01.970697Z","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":"2026-08-06T15:37:01.973831Z","title":"Quantum annealing for industry applications: Introduction and review,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:01.973831Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:874c85ddd8c0403a48a86bc9f8a62e9fd3608a44655f05bef205658da0ebdd1d","observation_id":"ef4b124a-b2b4-4ea7-b8ba-266a309cd68a","resolution":{"observed_at":"2026-08-06T15:37:01.973831Z","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":"2026-08-06T15:37:01.977179Z","title":"Traffic flow optimization using a quantum annealer,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:01.977179Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:3cc4db67569c69e8c00082e89dbe511c24ea96eb1369b3a3e8946988da772081","observation_id":"5015d3c6-691a-40e9-868c-56245204d636","resolution":{"observed_at":"2026-08-06T15:37:01.977179Z","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":"2026-08-06T15:37:01.980110Z","title":"Quantum annealing of vehicle routing problem with time, state and capacity,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:01.980110Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:46bff315a68541b0015bd0e6027eb17f233bd32817086746abdc4a7cfc2adc41","observation_id":"c1daf39e-1d55-419d-9056-c4d68312e08a","resolution":{"observed_at":"2026-08-06T15:37:01.980110Z","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":"2026-08-06T15:37:01.983189Z","title":"Control of auto- mated guided vehicles without collision by quantum annealer and digital devices,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:01.983189Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:f74e1864aa87908ec7d7b5cd10d58d781c36d0d82e89fb41d16f979c463ccf37","observation_id":"53419b8d-41ce-4e4e-872e-265a627b3003","resolution":{"observed_at":"2026-08-06T15:37:01.983189Z","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":"2026-08-06T15:37:01.986898Z","title":"An approach to the vehicle routing problem with balanced pick-up using Ising machines,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:01.986898Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:3c79cd3e240afae3752e521311808e83f79c0fd20b40449d31bb5879000a4806","observation_id":"5cae63ad-aca8-41b0-a530-1bea5b69cec3","resolution":{"observed_at":"2026-08-06T15:37:01.986898Z","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":"2026-08-06T15:37:01.989724Z","title":"Multi-day travel planning using Ising machines for real-world ap- plications,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:01.989724Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:60a973d728b7f8afd1c72e47de78a50111cc9a14b50e3aed8bfb8c08730dd661","observation_id":"f14187c8-aa6e-42bf-b69c-bce387aaa7e8","resolution":{"observed_at":"2026-08-06T15:37:01.989724Z","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":"2026-08-06T15:37:01.993018Z","title":"An Ising machine- based solver for visiting-route recommendation problems in amusement parks,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:01.993018Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:cf5d6c80ab2e007752dbc91128acedefb3e3466bc42836ecfd98496cb3b8afda","observation_id":"fd8c0fba-2284-4664-b420-99a27c8bc7a8","resolution":{"observed_at":"2026-08-06T15:37:01.993018Z","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":"2026-08-06T15:37:01.995819Z","title":"Travel time optimization on multi- AGV routing by reverse annealing,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:01.995819Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:30920bba93ed791545bd1b939e96241b565f99382493384152117fdbe02b831e","observation_id":"b21c9f90-6a39-4863-a6f6-d4b3c9bd6ea6","resolution":{"observed_at":"2026-08-06T15:37:01.995819Z","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":"2026-08-06T15:37:01.998683Z","title":"Hybrid subQUBO an- nealing with a correction process for multi-day intermodal trip planning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:01.998683Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:8a24749f89bc1ef6ef1208166d6a89c4cb5bfbfa50cf83b17570a52743d8e121","observation_id":"d54e55f4-cd04-4af4-8c1d-375d4833a66e","resolution":{"observed_at":"2026-08-06T15:37:01.998683Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.02830","last_updated":"2023-03-06T01:47:10Z","snapshot_observed_at":"2026-07-06T14:58:55.988823Z","submitted_at":"2023-03-06T01:47:10Z","title":"ISAAQ: Ising Machine Assisted Quantum Compiler","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.02830","snapshot_observed_at":"2026-08-06T15:37:02.001500Z","title":"ISAAQ: Ising machine assisted quantum compiler,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.001500Z"},"links":{"cited_paper":"/paper/2303.02830","citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:7d511114097a9f97caf2613162a75f4e74ea579f0f3695bd8d9c0aa382d8d25c","observation_id":"ed6b114c-f9ff-48fa-9ab6-bfa45b31ba34","resolution":{"observed_at":"2026-08-06T15:37:02.001500Z","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":"2026-08-06T15:37:02.005354Z","title":"Observation of topological phenomena in a programmable lattice of 1,800 qubits,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.005354Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:113125f247e67eeb091704cc26ca1a3c3d0615d236333c9a0640be594b6b277c","observation_id":"8091424d-b709-40af-9434-e991733a445d","resolution":{"observed_at":"2026-08-06T15:37:02.005354Z","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":"2026-08-06T15:37:02.008084Z","title":"Phase transitions in a programmable quantum spin glass simulator,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.008084Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:318b87039057052dcbcd3f14878eb4e07f757af870bf855ff2ae6f8d57d7e2ca","observation_id":"4dc04019-32ac-4551-b4bd-846e9d514d32","resolution":{"observed_at":"2026-08-06T15:37:02.008084Z","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":"2026-08-06T15:37:02.010814Z","title":"A quantum annealing approach to ionic diffusion in solids,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.010814Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:edea68b3e6309eec76bc7e40c479e586443b2a7b80cb48070af9e2ed92a35638","observation_id":"3a7758d3-4d62-4cad-bbfe-42049c36039a","resolution":{"observed_at":"2026-08-06T15:37:02.010814Z","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":"2026-08-06T15:37:02.013671Z","title":"A phase-field model by an Ising machine and its application to the phase-separation structure of a diblock polymer,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.013671Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:237b82ea5ff72cae129582c2caaf651518b7441c522ae30bfe87128e84e4904e","observation_id":"bfa09b0c-8363-4721-a83a-85bed09117f5","resolution":{"observed_at":"2026-08-06T15:37:02.013671Z","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":"2026-08-06T15:37:02.016448Z","title":"Quantum annealing boosts prediction of multimolecular adsorption on solid surfaces avoiding com- binatorial explosion,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.016448Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:f006bb735bcda87799bd5e5e7652c6ac47285c63694bdd661adbd27e18f8fda2","observation_id":"25dd50e0-dccf-43ee-b70c-a7f954d31702","resolution":{"observed_at":"2026-08-06T15:37:02.016448Z","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":"2026-08-06T15:37:02.019317Z","title":"Development of optimization method for truss structure by quantum annealing,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.019317Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:63ed877ccce50333376ac16533b54873abed1fdf301f641d850765f8d9d5befa","observation_id":"47918b7c-a6f7-4159-9bce-d57b9e15b123","resolution":{"observed_at":"2026-08-06T15:37:02.019317Z","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":"2026-08-06T15:37:02.022442Z","title":"Quantum annealing-assisted lattice optimization,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.022442Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:addc75b0fc0fe470e5607c6c458f4787576482863dc0d728d862ce7b708744f4","observation_id":"1f0d9447-3188-4ee9-8798-695be7425580","resolution":{"observed_at":"2026-08-06T15:37:02.022442Z","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":"2026-08-06T15:37:02.025793Z","title":"Formulation of correction term in QUBO form for phase-field model,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.025793Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:5d1a0f57f0bcf051714d201cf83737e8d483106ce564e064567eb4b76b36d6d8","observation_id":"2d182d21-626a-4765-a97c-87d91299f1f0","resolution":{"observed_at":"2026-08-06T15:37:02.025793Z","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":"2026-08-06T15:37:02.998925Z","title":"Solving the optimal trading trajectory problem using a quan- tum annealer,","venue":null,"work_id":"1ec6ec59-6e47-4fa4-8ac4-9ac05fd47719","year":2016},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.028709Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:b7d302175059de2469669105aabd2366e99cc4606619d18c73129c4cdbe6b2e2","observation_id":"ab9a903d-8d51-409a-9570-87e04c170e10","resolution":{"observed_at":"2026-08-06T15:37:03.001850Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.990640Z","title":"Application of Ising machines and a software development for Ising machines,","venue":null,"work_id":"4655a600-0f20-4323-91cd-8a4872b27c21","year":2019},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.031367Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:72ad0e4372fc6d31101cf06b415f007b63c467cd481c5507ed03fc2b0af787e9","observation_id":"71ae34b8-f2e6-424a-8b53-e2f444976835","resolution":{"observed_at":"2026-08-06T15:37:02.993567Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.981827Z","title":"Real-time trading system based on selections of potentially profitable, un- correlated, and balanced stocks by NP-hard combinatorial optimization,","venue":null,"work_id":"204c1471-3fbc-4616-a728-e75083e3b7af","year":2023},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.034128Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:bef80453a465b0ee11baa01f920d030d9994137016e773a57b99912d218b9240","observation_id":"b2a181ae-8229-4b82-a044-86a8920b1d63","resolution":{"observed_at":"2026-08-06T15:37:02.984880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.973011Z","title":"Performance of objective functions and optimisation procedures for parameter estimation in system biology models,","venue":null,"work_id":"d091904e-85c4-422c-8205-9d9dd67ffe39","year":2017},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.036966Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:38b7af8fb3acfd46c2e793f494ca8cc3b8ead20f2e780804bbb7e790728c9209","observation_id":"2ac2210c-9011-450a-a2a6-fdafd1229e9a","resolution":{"observed_at":"2026-08-06T15:37:02.975876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.964922Z","title":"Quantum annealing versus classical machine learning applied to a simplified computational biology problem,","venue":null,"work_id":"fffc95bd-6231-4ca9-b607-783f8be47052","year":2018},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.039554Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:baa03f7386db5ca56f2252f0895c7bc3d138793f02ec54b3b5da424ac3a1f5ec","observation_id":"953dc121-7759-4e23-936d-4a78efd0b2d0","resolution":{"observed_at":"2026-08-06T15:37:02.967639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.955910Z","title":"Designing metamaterials with quantum annealing and factorization ma- chines,","venue":null,"work_id":"3ab07505-cb5a-449a-ab39-18e615f6af9e","year":2020},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.042323Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:1ccb5b1682e57fa8cf3e22816db37ba0d1ef655031d0adbfb507100a529289d9","observation_id":"73d71796-d171-4d3b-a56e-abfc0aee4f5a","resolution":{"observed_at":"2026-08-06T15:37:02.959202Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.946520Z","title":"Continuous black-box optimization with an Ising machine and random subspace coding,","venue":null,"work_id":"57f15283-7a33-4600-9467-21e6fba142bd","year":2022},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.045563Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:f57270b8ee42ac38d81d96d6afec63e49bbe71126df4f33e9b833ab9cd1dd732","observation_id":"8433b00e-457e-4258-a0d5-3c2696ec900e","resolution":{"observed_at":"2026-08-06T15:37:02.949707Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.937800Z","title":"Towards optimization of photonic-crystal surface-emitting lasers via quantum annealing,","venue":null,"work_id":"ab7a7c9e-79a8-4536-b54b-6133eb57b5b3","year":2022},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.048860Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:3f75c08dc2aa7f9eeef859398706d326cb9339e3037a884125fb45f0583a76aa","observation_id":"c24b1e2a-c677-4fdc-bb1b-3c63220d4391","resolution":{"observed_at":"2026-08-06T15:37:02.940839Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.01016","last_updated":"2022-09-01T09:16:51Z","snapshot_observed_at":"2026-08-09T18:34:08.578562Z","submitted_at":"2022-09-01T09:16:51Z","title":"Black-box optimization for integer-variable problems using Ising machines and factorization machines","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.01016","snapshot_observed_at":"2026-08-06T15:37:02.051686Z","title":"Black-box optimization for integer- variable problems using Ising machines and factorization machines,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.051686Z"},"links":{"cited_paper":"/paper/2209.01016","citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:4626fd804421ea44ad8a1447c9b56bc1eb0b0509c8a6fcb87f1aba2c10bee7c1","observation_id":"c6c46e74-c30e-43a0-9e70-aad72437ad09","resolution":{"observed_at":"2026-08-06T15:37:02.051686Z","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":"2026-08-06T15:37:02.929086Z","title":"Quantum annealing designs nonhemolytic antimicrobial peptides in a discrete latent space,","venue":null,"work_id":"717b1df9-b20b-472f-b153-e599c737cd17","year":2023},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.055163Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:630a649df64d2692a93d1b15362f8d2efdb88fc6de4b8442543fa04717b9cefa","observation_id":"b513bc14-b5a8-48d0-837b-63b7cb242fbd","resolution":{"observed_at":"2026-08-06T15:37:02.932067Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.919796Z","title":"Quantum annealing optimization method for the design of barrier materials in magnetic tunnel junctions,","venue":null,"work_id":"649e2f63-5578-4282-9d2c-b1fdba07a82c","year":2023},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.058105Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:fd789b21ed04cffff86641539e71277b0b30ccdf382a8a82d96289b946003c08","observation_id":"27b8e933-e519-4d5f-b938-99656a39b9eb","resolution":{"observed_at":"2026-08-06T15:37:02.923127Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.911354Z","title":"A 20k-spin Ising chip to solve combinatorial optimization problems with CMOS annealing,","venue":null,"work_id":"0ccc4c10-ab8f-4034-9f59-f6e31badae96","year":2016},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.061231Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:b72de85fac73e0c1a1f79227f82ff9c7f4454003ed6a340739784584b23d93f1","observation_id":"f4ae91d5-0509-4fab-ac37-85dfc71063d4","resolution":{"observed_at":"2026-08-06T15:37:02.914228Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.902178Z","title":"A 2 × 30k-spin multi-chip scalable CMOS annealing processor based on a processing-in-memory approach for solving large-scale combinatorial op- timization problems,","venue":null,"work_id":"c876aed9-fd60-4642-a986-9193a128aa67","year":2019},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.064930Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:29e1e9849f5728063fc4d0d5f1daa38277bd9644177732ed03adac5667b6ecea","observation_id":"6029426c-c220-4ec1-ac04-41828b52bad8","resolution":{"observed_at":"2026-08-06T15:37:02.905154Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.892402Z","title":"An Ising computer based on simulated quantum annealing by path integral Monte Carlo method,","venue":null,"work_id":"6079b3d1-d4c6-447e-9a50-566bcbcf703b","year":2017},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.067833Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:aef70b6c5c66e4cdc96383751eda4ae67d6b46cf97ba9eebe12a6a06cd6d1557","observation_id":"7f7c884e-c7b8-4b95-bea1-20073e0e6f9d","resolution":{"observed_at":"2026-08-06T15:37:02.895896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.883453Z","title":"Binary optimization by momentum annealing,","venue":null,"work_id":"c1309ba9-8d7f-45d0-998e-e353c248028d","year":2019},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.070986Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:7fb9ebf71da50c50a74cdc8d1c2afdfd086e9a590c235696e6352d32b45bf271","observation_id":"6f142756-8d9f-4c8f-af90-91a532c27a3b","resolution":{"observed_at":"2026-08-06T15:37:02.886492Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.874160Z","title":"An accelerator architecture for combinatorial optimization problems,","venue":null,"work_id":"f04f262b-91e4-465f-a287-898341958e30","year":2017},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.073665Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:33fda8122aa659b8289a503423894f10b1e6546790d4cecf550cec710cb10f67","observation_id":"b3f7de02-a9d6-4a6e-87ea-181c8e03c754","resolution":{"observed_at":"2026-08-06T15:37:02.877557Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.863866Z","title":"Ising-model optimizer with parallel-trial bit-sieve engine,","venue":null,"work_id":"a9d98ae1-4438-4b22-a18d-580c5a41fadc","year":2017},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.076427Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:d20f6ff2de9922ac7f620f9e384719023da70e24cb5d6b8bee2e8a39d9432f7a","observation_id":"826b357d-0eab-4fe6-828f-336b78168a55","resolution":{"observed_at":"2026-08-06T15:37:02.866904Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.854193Z","title":"Physics-inspired optimization for quadratic uncon- strained problems using a digital annealer,","venue":null,"work_id":"7943d218-6ad0-4108-ba3d-e8eb9c5c8259","year":2019},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.079230Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:aea0bccf25222552c69161f44cbe3110de641cdc6c7fe82d940f8e0c0f317029","observation_id":"751b2637-897a-450e-ac78-b08f5b0c166c","resolution":{"observed_at":"2026-08-06T15:37:02.857438Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.844727Z","title":"Digital annealer for high-speed solving of combinatorial optimization problems and its applications,","venue":null,"work_id":"5e9f6ce8-452e-46a0-8403-cd2286785450","year":2020},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.082300Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:782f4a1728c42666c97b114a76969cbc3a996e6dcd30d15487ee34883a6b933e","observation_id":"bb51415f-7017-49c3-9306-bf0130bc9716","resolution":{"observed_at":"2026-08-06T15:37:02.848204Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.835815Z","title":"FPGA-based simulated bi- furcation machine,","venue":null,"work_id":"72707020-6fe5-447f-a86c-a32af2faf7fd","year":2019},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.085539Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:6226e0e649960c42b6a5197b898758047cbd8521a728a7a128536d4dac7b41cd","observation_id":"7ed07427-fd6d-450b-9deb-6c8c413ed13f","resolution":{"observed_at":"2026-08-06T15:37:02.838861Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.826550Z","title":"High-performance combinatorial optimization based on classical mechanics,","venue":null,"work_id":"c8416bf0-00b4-42e1-8d96-31614e02adb7","year":2021},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.088184Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:3f7480be9177d34bd62abc5fd61defa5ee620f31537b9dd94b51aa2526cb3ee7","observation_id":"41a61aff-2763-4b61-bbe1-e544df01c7a4","resolution":{"observed_at":"2026-08-06T15:37:02.829526Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.091172Z","title":"Fixstars Amplify Annealing Engine: Fixstars Amplify,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.091172Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:63fc93a5c0f79fdfddc7bd9f3cc0cc38a1e52370469361fc26409b7fedd4ad77","observation_id":"0577e5eb-4a3d-427a-8419-b993d0c4ec8b","resolution":{"observed_at":"2026-08-06T15:37:02.091172Z","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":"2026-08-06T15:37:02.811901Z","title":"100,000-spin coherent Ising machine,","venue":null,"work_id":"f88e64bd-c304-49cd-9823-4adde2bac61f","year":2021},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.094456Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:e3bdef3bcd330d2753532cca9cf0a24b96755393c7e66ffe4f5162caa264bdb0","observation_id":"54018d54-e764-4517-bf91-86284cc60901","resolution":{"observed_at":"2026-08-06T15:37:02.814808Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.00133","last_updated":"2020-02-29T00:20:30Z","snapshot_observed_at":"2026-08-10T14:29:39.199395Z","submitted_at":"2020-02-29T00:20:30Z","title":"Next-Generation Topology of D-Wave Quantum Processors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.00133","snapshot_observed_at":"2026-08-06T15:37:02.097527Z","title":"Next-generation topol- ogy of D-Wave quantum processors,","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.097527Z"},"links":{"cited_paper":"/paper/2003.00133","citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:7e11e0b28d973a5474237905ce5aca4adaa9ab38657b3c069b96fe5d83015927","observation_id":"e34e4391-bffb-423b-a745-4f6a4a20751d","resolution":{"observed_at":"2026-08-06T15:37:02.097527Z","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":"2026-08-06T15:37:02.802691Z","title":"The advantage system: Performance update,","venue":null,"work_id":"b9573b60-d5fd-4a81-bbe1-24979451dcea","year":2021},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.100899Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:247fb575cab3789a1134f55ecc7130109b6d2b4e597e59b5f29749d868f3892e","observation_id":"9adcdac3-f169-4bea-8056-aebc1e049c09","resolution":{"observed_at":"2026-08-06T15:37:02.805959Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.794236Z","title":"Quantum annealing in the transverse Ising model,","venue":null,"work_id":"515b6f90-f260-4f6b-913e-e6ba1481fe20","year":1998},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.103617Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:77554b5e1b7c0c55fceb0ca2d14bb52ec37064b56543dd87599d4e66b7a0e904","observation_id":"79767a3f-c1d9-422f-997e-1a4c4bf8cc25","resolution":{"observed_at":"2026-08-06T15:37:02.797014Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"quant-ph/0001106","last_updated":"2000-01-28T22:12:03Z","snapshot_observed_at":"2026-07-07T07:02:58.841967Z","submitted_at":"2000-01-28T22:12:03Z","title":"Quantum Computation by Adiabatic Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"quant-ph/0001106","snapshot_observed_at":"2026-08-06T15:37:02.106616Z","title":"Quantum computation by adiabatic evolution,","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.106616Z"},"links":{"cited_paper":"/paper/quant-ph/0001106","citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:3db27a86e899b7e0990a08409aa6e6a6165649af21c8a72dc2dfd745808972c3","observation_id":"914a3d70-6592-4263-b8e9-5e708710768c","resolution":{"observed_at":"2026-08-06T15:37:02.106616Z","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":"2026-08-06T15:37:02.785224Z","title":"A quantum adiabatic evolution algorithm applied to random instances of an NP-complete problem,","venue":null,"work_id":"8489da16-451c-4a97-b63c-d9d33056a66c","year":2001},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.109743Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:ccde11cd16bbde3206b2918f5749636b77dd4dbb529625b62346c689d1e32b5a","observation_id":"16cc5d4c-cdbd-4343-9f37-b0fad3cf0a16","resolution":{"observed_at":"2026-08-06T15:37:02.788199Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.776420Z","title":"Quantum annealing for combinatorial optimization: A benchmarking study,","venue":null,"work_id":"ae4a2740-ee79-4cd6-8648-a7a2cf7b5576","year":2025},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.112939Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:1de7e3f6f4150bf0f78aba3ceb24146df46d665072c6fc1470c49a7da303c004","observation_id":"15c9a500-fc5f-457b-8054-b91262ab0b05","resolution":{"observed_at":"2026-08-06T15:37:02.779430Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.115681Z","title":"Optimization by simulated annealing,","venue":null,"work_id":null,"year":1983},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.115681Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:40eec81fb18345d400efe74ba1a25fbc907eada443a9d381c4b24a704958d36e","observation_id":"7fe16f36-8c78-4cd7-8e47-784fb7189411","resolution":{"observed_at":"2026-08-06T15:37:02.115681Z","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":"2026-08-06T15:37:02.761858Z","title":"Opti- mization by simulated annealing: An experimental evaluation; part I, graph partitioning,","venue":null,"work_id":"3bb24893-09ee-4f39-a647-4791ab168bec","year":1989},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.118493Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:2b3e77932a6f8f17c0a19ebac12c1d85c8a7aec78f0ddfcf59753b205a4790d0","observation_id":"ac9efe7d-fed7-448a-8f43-2dd017abbe98","resolution":{"observed_at":"2026-08-06T15:37:02.764737Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.753296Z","title":"Optimization by simulated annealing: An experimental evaluation; part II, graph coloring and number partitioning,","venue":null,"work_id":"17f47044-c87d-4cd9-9d73-8ba5dac7b23c","year":1991},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.121750Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:6d4b6c32571f06cb45ed54429add058ddc059eb8bb4bf2ab9b9ae26e8ac50e91","observation_id":"08c47c73-ca99-47c0-b992-3393dfae8868","resolution":{"observed_at":"2026-08-06T15:37:02.756237Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.743635Z","title":"Optimised simulated annealing for Ising spin glasses,","venue":null,"work_id":"5ff5b38d-671a-43b9-aa30-12daf7aee5cb","year":2015},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.124331Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:997c7fe752df6f1bbd13b617148898ae58855cc2a0203fdf6d5d300fbfaa4589","observation_id":"12e0b7f5-0de1-44bc-b161-b9d84736fea2","resolution":{"observed_at":"2026-08-06T15:37:02.746880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.735073Z","title":"Beitrag zur Theorie des Ferromagnetismus,","venue":null,"work_id":"edfcd024-ee62-4e88-a3ed-125818131851","year":1925},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.127078Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:590a0ff9981bdced0322e91b76ad0da7e435675f945f8f787d30e7e4fedbd515","observation_id":"5f2bfc9c-ed00-4ccf-b555-4743422d057e","resolution":{"observed_at":"2026-08-06T15:37:02.737954Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.726459Z","title":"The unconstrained binary quadratic programming problem: A survey,","venue":null,"work_id":"2b515e6d-e2dc-4911-906e-d107b0e326ec","year":2014},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.130147Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:c16eead5a1bb7ec3ef9472e6fe0ba7171e385f79a131ad08b411110003026528","observation_id":"1de62b8e-7b13-4ca5-adfa-2f74b900fafc","resolution":{"observed_at":"2026-08-06T15:37:02.729582Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.717077Z","title":"Ising formulations of many NP problems,","venue":null,"work_id":"af8dcc57-72bb-4942-825f-757ad4a175be","year":2014},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.132757Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:c15ada87da88d6df07f63b3f8d885498e7f55ea4e17e11ad2fd3f4ec1492a52d","observation_id":"33818776-486e-41cf-89d1-f4749e78d5b9","resolution":{"observed_at":"2026-08-06T15:37:02.720267Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.708267Z","title":"Tanaka, R","venue":null,"work_id":"6f683559-f298-47c3-beb2-517a4c8842b3","year":2017},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.136394Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:37cbb3dd48caf5a80c4a41905442be94806f07466c7d098c6fd8b7a64434bd82","observation_id":"d64f3d02-5471-48b7-bccd-ab6543aecb4f","resolution":{"observed_at":"2026-08-06T15:37:02.711092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.699986Z","title":"Minor-embedding in adiabatic quantum computation: II. Minor- universal graph design,","venue":null,"work_id":"45c65a02-4548-4d8c-8d59-939af3e7d1df","year":2011},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.140501Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:846b8dba36beb49151283f80aaf6f2c2c30baf27ae3fd32cdc0c03fff6b1b326","observation_id":"11414ce1-6f3f-4b75-984a-cf3728d63b8f","resolution":{"observed_at":"2026-08-06T15:37:02.702742Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1406.2741","last_updated":"2014-06-10T23:07:30Z","snapshot_observed_at":"2026-08-10T11:13:51.036136Z","submitted_at":"2014-06-10T23:07:30Z","title":"A practical heuristic for finding graph minors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1406.2741","snapshot_observed_at":"2026-08-06T15:37:02.143401Z","title":"A practical heuristic for finding graph minors,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.143401Z"},"links":{"cited_paper":"/paper/1406.2741","citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:5c19629c5e8c59eff429f82a46c5e2578ec410e1abc9d431b6013c6d8f007623","observation_id":"67bfd7b2-fc4e-42f6-a3cf-18c4b227a11d","resolution":{"observed_at":"2026-08-06T15:37:02.143401Z","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":"2026-08-06T15:37:02.691178Z","title":"A fully-connected Ising model embedding method and its evaluation for CMOS annealing machines,","venue":null,"work_id":"bacc9a6d-d8df-44c4-9ade-d687456ed34f","year":2019},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.146494Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:3c539d3710ef72f9f426662edbeb5edf6dea7f60488e3effd64f18e6df04fc94","observation_id":"33e3e306-925c-40c6-bc93-a57452aaf495","resolution":{"observed_at":"2026-08-06T15:37:02.693949Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.683169Z","title":"Improving solutions by embedding larger subproblems in a D-Wave quantum annealer,","venue":null,"work_id":"fdb0a309-5cf9-45be-89fa-896ccc839d84","year":2019},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.149461Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:bbd86cb27ba19936f3be51b3c36491d9f908e1fe4810eee7fb397379f8494590","observation_id":"3b6c8843-d9e0-449d-91cf-4e6e29be21e8","resolution":{"observed_at":"2026-08-06T15:37:02.685914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.674769Z","title":"Guiding principle for minor- embedding in simulated-annealing-based Ising machines,","venue":null,"work_id":"59a23d6d-caf5-4566-80e6-f99c9e25eef7","year":2020},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.152339Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:fc1d2250662d182960c3083195064ba42aa31decaa15b18bf54685c927a8de16","observation_id":"4215c236-b113-49eb-b41d-d941d5fbeeb3","resolution":{"observed_at":"2026-08-06T15:37:02.677692Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.666168Z","title":"How to reduce the bit- width of an Ising model by adding auxiliary spins,","venue":null,"work_id":"38000bdc-52ec-493a-be5a-7a60bba5917f","year":2022},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.155461Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:d055f39a9d0e54ff5465584da0b7f27614b0e466497730c64ff4cf6131c3496d","observation_id":"79c83efa-265f-4894-a83c-bc53196d2c6b","resolution":{"observed_at":"2026-08-06T15:37:02.669740Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.657477Z","title":"An efficient combined bit-width reducing method for Ising models,","venue":null,"work_id":"ee638351-365f-4ec7-9dab-9ba8d4500659","year":2023},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.158327Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:06c7a193f91aa08b8caef090a0bf94740e09826a32ccf765c5ec1b2f769c74df","observation_id":"09c3ea33-bc24-498f-84a1-a2da3a697ea8","resolution":{"observed_at":"2026-08-06T15:37:02.660300Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.648025Z","title":"Dynamical process of a bit-width reduced Ising model with simulated annealing,","venue":null,"work_id":"333bf913-25dc-4056-89cb-f89b9c43b3e7","year":2023},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.161345Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:bb55a79c06d54707885fe8fa9dead6e7b78fa738f4a3521d652579286e54debe","observation_id":"cc474287-1808-4be5-acb3-20bced6dcc98","resolution":{"observed_at":"2026-08-06T15:37:02.651555Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.638828Z","title":"Partitioning optimization problems for hybrid classical/quantum execution,","venue":null,"work_id":"f9604d43-5b97-431f-921a-d491e6c24244","year":2017},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.164004Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:5f1fea7b72abc43c70404aebf0d760ae24367dee350531f3be6c710e60e6f1b9","observation_id":"b7fa7ab6-d137-411b-b570-75817c9ed944","resolution":{"observed_at":"2026-08-06T15:37:02.642599Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.630590Z","title":"Boosting quantum annealer performance via sample persistence,","venue":null,"work_id":"dd3e40a8-a975-4e7a-a0b0-f7646252b270","year":2017},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.167456Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:b586810358d2294c7d41bf6d514bafedb6a650d3770c88113d940d6e0da110bd","observation_id":"887a97db-9b33-42ae-8c95-8f1ba92eabb5","resolution":{"observed_at":"2026-08-06T15:37:02.633225Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.622063Z","title":"Effective optimization using sample persistence: A case study on quantum annealers and various Monte Carlo optimization methods,","venue":null,"work_id":"0b672b39-0094-4490-84ab-f6616a10aa5f","year":2017},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.170243Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:1c2b8b1c2dc0b5fb630202f0b782729ab6c7431ab062e09439b56d2fd25c4426","observation_id":"85bd2e1c-babe-454e-88fd-234fd412d7ab","resolution":{"observed_at":"2026-08-06T15:37:02.624879Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.614046Z","title":"Hybrid quantum annealing via molecular dynamics,","venue":null,"work_id":"75af9c9e-e99e-4045-97e2-94f153fe166f","year":2021},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.173132Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:93efe24c61cd4ecc0230125b9d0c12787db94a4108eb5833275baa2ad3647f37","observation_id":"cf840dba-77c2-49ef-8210-5a28ba159fe5","resolution":{"observed_at":"2026-08-06T15:37:02.616785Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.605600Z","title":"Hybrid annealing method based on subQUBO model extraction with multiple solution instances,","venue":null,"work_id":"33a09fd0-8875-43a1-8843-f3bbe5c954cc","year":2022},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.176162Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:bfa180e705b438cc0c8ea963f906679ea3ea484d57ff1671d1eb873b64f56259","observation_id":"d5df3b15-83c9-4727-b555-052eb735218d","resolution":{"observed_at":"2026-08-06T15:37:02.608790Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.596795Z","title":"Trip planning based on subQUBO annealing,","venue":null,"work_id":"dd7f38e7-279c-4eb2-b2e4-6b381029be3a","year":2023},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.179333Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:1b742218f432a3b16616e6c3729e195f4ab7ab0a56c0a32bab7655702771ec1b","observation_id":"86b1d68d-cd9d-4a95-b83c-df53a09ea96e","resolution":{"observed_at":"2026-08-06T15:37:02.599861Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.588853Z","title":"Hybrid optimization method using simulated-annealing-based Ising machine and quantum annealer,","venue":null,"work_id":"d846775d-9200-4742-8e44-105319c12c9f","year":2023},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.182270Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:5726c726027fc5384c5e248622e9ab9e61ee98d423d8f43b9248fd352c0bb190","observation_id":"e8923849-4622-4dd8-a2a2-e98a17eccd35","resolution":{"observed_at":"2026-08-06T15:37:02.591582Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.580506Z","title":"Hybrid quantum annealing for larger-than-QPU lattice-structured problems,","venue":null,"work_id":"388720ab-7311-4643-bdc3-9a95e2e2776d","year":2023},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.185206Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:bf690d0ed1c4f9ff0e3acbdfcd017ebc23bbeb594bd408467db10269938fc0f0","observation_id":"1db6a715-f74e-4b1c-adc7-39e269e5603b","resolution":{"observed_at":"2026-08-06T15:37:02.583358Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.572040Z","title":"Hybrid algorithm of linear programming relaxation and quantum annealing,","venue":null,"work_id":"4b2cc497-4cbc-447e-b00a-37d779966475","year":2024},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.189216Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:238842b9b8751945c017c8d507e33480bfc32c92bc9891d9d535d0d71f367425","observation_id":"a36e8fc3-34c2-4b35-a286-0eb7896fcbe9","resolution":{"observed_at":"2026-08-06T15:37:02.574913Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.12594","last_updated":"2024-05-28T02:36:01Z","snapshot_observed_at":"2026-07-06T18:17:12.404441Z","submitted_at":"2024-05-21T08:37:28Z","title":"Statistical Qubit Freezing Extending Physical Limit of Quantum Annealers","version":2},"cited_work":{"arxiv_id":"2405.12594","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.12594","snapshot_observed_at":"2026-08-06T15:37:02.300318Z","title":"Statistical Qubit Freezing Extending Physical Limit of Quantum Annealers","venue":"quant-ph","work_id":"83afa77d-e26e-4436-b1d4-0acf367d5105","year":2024},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.192232Z"},"links":{"cited_paper":"/paper/2405.12594","citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:eba585c781848a792c15ceb18f2b4994c69d821097fedf7e292dff1ae476151a","observation_id":"df44dcf6-3474-4a46-b49d-8ca1b7189640","resolution":{"observed_at":"2026-08-06T15:37:02.305421Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.563735Z","title":"Annealing-assisted column generation for inequality-constrained combinatorial optimization problems,","venue":null,"work_id":"969267e0-a783-40bd-b2c2-d85f86ea7cc4","year":2024},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.195609Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:f1d36e38eecf64109b155c3668f59d37433232613e0492c902a32718572c088a","observation_id":"dcebec91-83df-48c6-8cb5-0eccb8862b6a","resolution":{"observed_at":"2026-08-06T15:37:02.566695Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.555512Z","title":"Equation of state calculations by fast computing machines,","venue":null,"work_id":"f3112102-6fc4-4a06-a363-0c930aca2926","year":1953},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.198718Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:b257594886a182e51b6e7e70622a8d587f768006b5608d6069c59d7fa52d6298","observation_id":"36de8dca-1eeb-4d1b-af94-29381c163976","resolution":{"observed_at":"2026-08-06T15:37:02.558269Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.547109Z","title":"Monte Carlo sampling methods using Markov chains and their applications,","venue":null,"work_id":"846563c5-cff5-4e18-86bf-7978de88bcfc","year":1970},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.201939Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:2d9d94d660cd771e5f918f5d18112e3cac405db84b8fc4165e70079c8ca09644","observation_id":"05f26278-2175-451c-9c8b-f8b46fa780c0","resolution":{"observed_at":"2026-08-06T15:37:02.550015Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.538514Z","title":"Time-dependent statistics of the Ising model,","venue":null,"work_id":"0f2eb4b7-7566-4685-a52f-593fafdbf2c3","year":1963},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.204937Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:879a5f7fa91765e49f3f0db8924aa953d55bdc7bb8b807ca73a6d9daca2ecc28","observation_id":"de81b34e-8ae2-4cac-a552-72964bcd9f82","resolution":{"observed_at":"2026-08-06T15:37:02.541729Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.529520Z","title":"Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images,","venue":null,"work_id":"732f100b-f432-4b41-88fa-a31fcc075bc5","year":1984},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.207479Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:8c97f7c048fa636acfdbc34c7d9dad744733271905f147add7b921da2bd82bbc","observation_id":"7a6d08c9-0ace-448b-a53c-8603ba7eb081","resolution":{"observed_at":"2026-08-06T15:37:02.532829Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.520681Z","title":"On the adiabatic theorem of quantum mechanics,","venue":null,"work_id":"ccd97559-559d-4549-bece-21a37f84713a","year":1950},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.210210Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:7c7ba8d740d2bdc9ef6b01564f53adef4bae3f7d9335185b10b0b5b844e645ba","observation_id":"fb858b7d-d825-48be-8924-6f974851bc48","resolution":{"observed_at":"2026-08-06T15:37:02.523792Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.511331Z","title":"Messiah, Quantum mechanics","venue":null,"work_id":"9cc7211a-070f-4779-a780-2bbce11527a1","year":1962},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.213179Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:59ea0fb05e75cce7c3467424e82c3370a24af44021feadc4ee201f6ba8fc7fdc","observation_id":"4d778913-cabd-469b-8af4-a73fe3cd14c2","resolution":{"observed_at":"2026-08-06T15:37:02.514153Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.501808Z","title":"Bounds for the adiabatic approxi- mation with applications to quantum computation,","venue":null,"work_id":"0860c146-8a18-43ae-a267-453645f7f419","year":2007},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.216229Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:82a9748107a135405475dd1f4ee964c5e1054541ccbb71ca5d95b36b041db034","observation_id":"5c07615a-8af1-4d66-ab06-f66dfde5a4de","resolution":{"observed_at":"2026-08-06T15:37:02.505213Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.493120Z","title":"Solver parameters - D-Wave system documentation,","venue":null,"work_id":"7f7bf232-c5e4-4f71-9170-f602f5bd7c83","year":null},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.219464Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:665af97e7eaaf887537c2986ad749634e3a406b299ddf1c0eb040e6f4de6793b","observation_id":"fbb76185-5380-4552-b93d-b58fff1fe6bb","resolution":{"observed_at":"2026-08-06T15:37:02.496117Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1901.07636","last_updated":"2019-01-22T22:46:13Z","snapshot_observed_at":"2026-07-06T07:28:22.817476Z","submitted_at":"2019-01-22T22:46:13Z","title":"Pegasus: The second connectivity graph for large-scale quantum annealing hardware","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.07636","snapshot_observed_at":"2026-08-06T15:37:02.222459Z","title":"Pegasus: The second connec- tivity graph for large-scale quantum annealing hardware,","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.222459Z"},"links":{"cited_paper":"/paper/1901.07636","citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:3cc5c941e8e787b5b42d3d7d789f8cb003f099bdfac89ea1b76b9ca713850801","observation_id":"1731ae78-2ee3-499f-8131-e739cfdf016d","resolution":{"observed_at":"2026-08-06T15:37:02.222459Z","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":"2026-08-06T15:37:02.483714Z","title":"The Advantage system: Performance update,","venue":null,"work_id":"576be4a8-fe05-44a5-99a3-e00f983599e4","year":null},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.225357Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:e9813f004a3a662788c8e647b0b563e8b42d4022ecb853eda8dc2a56766f183b","observation_id":"9559de97-4a80-4af5-aae0-23438d0bc44d","resolution":{"observed_at":"2026-08-06T15:37:02.486887Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.474517Z","title":"Ordering in certain statistical systems of Ising spins,","venue":null,"work_id":"714cc677-b965-4095-b23e-019b1941e2f9","year":1968},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.228042Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:60a73aff84bc588be5c0f19ba79c7868637cded09b1a3d232863b41668a1b074","observation_id":"fd2e6c7f-fd29-477c-ad92-f55952ef6264","resolution":{"observed_at":"2026-08-06T15:37:02.477630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.464992Z","title":"A decorated Ising lattice with three transition temperatures,","venue":null,"work_id":"248b272a-7481-490f-aa39-b864bf5dd0a1","year":1968},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.230780Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:057267062a58a990509bec7118f5774ad30acc13805e206a98f86ff1bda9dc28","observation_id":"6fc74897-4fbc-44d1-aa1a-356648a78727","resolution":{"observed_at":"2026-08-06T15:37:02.468203Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.455908Z","title":"Ising models with several phase transi- tions,","venue":null,"work_id":"b6dc1ebe-9634-4439-a2f9-b1ba4e3212e7","year":1976},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.233795Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:bfd6c93b29bd6baf003264ddcb8e06af953c50281c7dc2d4b11a5592c2b29844","observation_id":"be418170-d955-40dd-8a16-4eb6ce1ad108","resolution":{"observed_at":"2026-08-06T15:37:02.458852Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.445532Z","title":"Spin correlation functions on frustrated lattices,","venue":null,"work_id":"d2ca7950-6a83-4548-be53-60be24798af8","year":1983},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.236379Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:b8e13d44448297f2b4277513327945bce2b0fbd630ca921bd3883126e2c2b503","observation_id":"20220610-8348-44f8-8d4c-4a9421c8ef2e","resolution":{"observed_at":"2026-08-06T15:37:02.448943Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.435324Z","title":"Reentrant phase transitions in the two-dimensional Ising model with competing nearest neighbour interactions,","venue":null,"work_id":"b9b38ea1-9294-43e3-90fc-8da4af31188c","year":1985},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.239423Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:7bbccbdc7584f1aeb96bf2dfa35d84614f3b87409e30783215645bd2587ce697","observation_id":"654f333c-41b4-4811-a741-cfc584ffc196","resolution":{"observed_at":"2026-08-06T15:37:02.438472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.426362Z","title":"Dynamical properties of temperature chaos and memory effect,","venue":null,"work_id":"fecc8949-c804-45a5-9e4e-91024cd6e2a4","year":2005},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.242376Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:79ef04edc4a488923f7f8873196c0746ff76de600b56a682cf6ea0fe8a49f045","observation_id":"e5abade9-865e-4f6c-bb94-898d235782ba","resolution":{"observed_at":"2026-08-06T15:37:02.429570Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.416878Z","title":"Nonmonotonic relaxation in systems with reentrant-type interaction,","venue":null,"work_id":"a1542d2c-7493-4a36-bbfa-bfb2f99f130e","year":2007},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.245252Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:087dc22c6771823075cbbd659f518db14283c2cd113764870acf45e405ec084d","observation_id":"a8fb4b07-0430-4df6-a557-3adec395366f","resolution":{"observed_at":"2026-08-06T15:37:02.420156Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.407063Z","title":"Nonmonotonic dynamics in a frustrated Ising model with time-dependent transverse field,","venue":null,"work_id":"e125f750-8fb3-4c26-b343-eb1f7caa44ad","year":2010},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.247879Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:c474390a87b3b674331037f296dd64f98c2364d4e8742e7ad1914db3df759493","observation_id":"0c239fb9-dfc6-4620-8f20-2b0294bf2a3c","resolution":{"observed_at":"2026-08-06T15:37:02.410340Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.397131Z","title":"Advantages of fixing spins in quantum annealing,","venue":null,"work_id":"e51f9a2b-aead-4ecb-be3a-c38d64aad2e8","year":2025},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.250612Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:6c553cb713685a6257803faac71bd25aa90891ebe1e586d52a5bbba6154349dd","observation_id":"1c8aafa8-f155-46d6-9837-0a7f0ed5aa0e","resolution":{"observed_at":"2026-08-06T15:37:02.400464Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.386812Z","title":"QuTiP: An open-source Python framework for the dynamics of open quantum systems,","venue":null,"work_id":"b1dc8399-f98a-4eea-a932-3d84818df448","year":2012},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.253336Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:960cfaf63da4e0ccf0ca170168cdadb4fe20fd5aa7f9a776dc1274d477b64528","observation_id":"f44a54af-2ebd-4497-98ea-f7faedc064c5","resolution":{"observed_at":"2026-08-06T15:37:02.390077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.376801Z","title":"QuTiP 2: A Python framework for the dynamics of open quantum systems,","venue":null,"work_id":"9ae13526-6b83-495f-bb71-ab695d3cc46a","year":2013},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.255860Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:22c133f70123a9dd25bf6adb92621deaf20002cdcc75b08d4eda6a7a9d1fdcdd","observation_id":"6fa44da9-432b-481d-9a70-6f1946024efb","resolution":{"observed_at":"2026-08-06T15:37:02.380223Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.366974Z","title":"Experimental investigation of performance differences between coherent Ising machines and a quantum annealer,","venue":null,"work_id":"997945da-ba78-4837-9892-9c0455f6e8f4","year":2019},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.258539Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:b9273b81242a9f32cfa5712cf9184fa4f9f401a1beec28e4e9615ed3f49fc9ae","observation_id":"220d8d88-fc62-4322-84c2-bcb3b979f503","resolution":{"observed_at":"2026-08-06T15:37:02.370206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T15:37:02.357250Z","title":"Quantum critical VOLUME 4, 2016 15 Kikuchi et al.: Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines dynamics in a 5,000-qubit programmable spin glass,","venue":null,"work_id":"4ce78ee2-3de3-4288-8909-3feb4855b32d","year":2016},"citing_paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines","version":1},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-06T15:37:02.261265Z"},"links":{"citing_paper":"/paper/2507.15544"},"observation_digest":"sha256:bf52a31c9330376d7084afe3f0e328bd88a83f12c5fc23fbc032df715c3d8e17","observation_id":"5b932a51-035f-496e-924f-7ca769ae2518","resolution":{"observed_at":"2026-08-06T15:37:02.360326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.15544","last_updated":"2025-07-21T12:17:51Z","latest_version":1,"primary_category":"cond-mat.stat-mech","snapshot_observed_at":"2026-08-09T18:46:30.739882Z","submitted_at":"2025-07-21T12:17:51Z","title":"Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines"},"reference_resolution":{"displayed":99,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":27,"verified_exact":1,"verified_fuzzy":71},"total_outbound_references":99},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 99 of 99 outbound references and 3 inbound Pith citation observations for arXiv:2507.15544."}