{"as_of":"2026-08-09T19:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2de321091a8660cc96021d8ccfb465b78c26ffa24a8333e22d2a091feff45e0b","coverage":[{"denominator":30,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":30,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:22:51.543891Z","state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-26T16:24:25.357338Z","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":"2026-07-10T12:15:01.137692Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"cited_work":{"arxiv_id":"2506.14535","doi":"10.48550/arxiv.2506.14535","metadata_source":"arxiv_reference","pith_arxiv_id":"2506.14535","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Automatic","venue":null,"work_id":"4c44b21e-9178-48bd-91c9-2dbe631df6ee","year":null},"citing_paper":{"arxiv_id":"2606.20173","last_updated":"2026-06-18T12:40:43Z","snapshot_observed_at":"2026-07-06T23:55:20.134506Z","submitted_at":"2026-06-18T12:40:43Z","title":"Qiskit Code Migration with LLMs","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-06-26T16:24:25.357338Z"},"links":{"cited_paper":"/paper/2506.14535","citing_paper":"/paper/2606.20173"},"observation_digest":"sha256:cf45f4879d248b19554c1eb17316e2ac08b7f0f27fc58e410b7a011253a70474","observation_id":"187c8305-8013-4150-a985-8c8cba30c56d","resolution":{"observed_at":"2026-06-26T16:29:35.423658Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.14535/citation-record","integrity":"/paper/2506.14535/integrity","json":"/paper/2506.14535/citation-record.json","paper":"/paper/2506.14535"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.16151","last_updated":"2024-09-25T18:17:06Z","snapshot_observed_at":"2026-08-09T15:51:44.047778Z","submitted_at":"2024-08-28T22:03:54Z","title":"Automatic Library Migration Using Large Language Models: First Results","version":3},"cited_work":{"arxiv_id":"2408.16151","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.16151","snapshot_observed_at":"2026-08-07T00:22:51.759997Z","title":"Automatic Library Migration Using Large Language Models: First Results","venue":"cs.SE","work_id":"c726dae5-55af-4e2e-ab2f-9f9f84e91cce","year":2024},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:48.735741Z"},"links":{"cited_paper":"/paper/2408.16151","citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:c88c4bc6888e65cb0fdeac785512fe4edd14125f1f1e8e4bb1de5ee7463e2124","observation_id":"fe26b40f-164d-4255-909d-163be24f8ba6","resolution":{"observed_at":"2026-08-07T00:22:51.859884Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.02497","last_updated":"2026-04-16T18:11:21Z","snapshot_observed_at":"2026-07-06T20:46:27.988338Z","submitted_at":"2025-03-04T11:04:35Z","title":"A PennyLane-Centric Dataset to Enhance LLM-based Quantum Code Generation using RAG","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.02497","snapshot_observed_at":"2026-08-07T00:22:48.843284Z","title":"PennyLang: Pioneering LLM- Based Quantum Code Generation with a Novel PennyLane-Centric Dataset, March 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:48.843284Z"},"links":{"cited_paper":"/paper/2503.02497","citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:cf2053db2ab8f599bf3653c29355bf188f276bceab1554754fbabdebcc429f15","observation_id":"4a89cd6e-c0f7-41ea-970c-82e4dfea0865","resolution":{"observed_at":"2026-08-07T00:22:48.843284Z","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":"2026-08-07T00:22:54.288902Z","title":"AI-Driven Refactoring: A Pipeline for Identifying and Correcting Data Clumps in Git Repositories","venue":null,"work_id":"42d02948-f661-4639-b5fc-11374a113140","year":2024},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:48.928621Z"},"links":{"citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:bb227cabb16d7df641d788c247f58886f59e5a8f485237d86a979dc0e3123375","observation_id":"fe34f565-2932-473d-93f0-b43285c44c14","resolution":{"observed_at":"2026-08-07T00:22:54.365377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:22:54.120501Z","title":"An Empirical Study on the Code Refactoring Capability of Large Language Models, November","venue":null,"work_id":"11d9bb37-fb34-4f7e-9f11-7b1e03f2c0c6","year":null},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:49.059619Z"},"links":{"citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:a828e3fdb7db8e0107678a0a7c0fad61f6bb38552ec140962f17e4a151558ed5","observation_id":"1e9bd08d-6b08-446f-944c-28178e57f9d9","resolution":{"observed_at":"2026-08-07T00:22:54.187783Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:22:54.003192Z","title":"Explor- ing LLM-Driven Explanations for Quantum Algorithms","venue":null,"work_id":"c6b7e5dd-dec2-4520-94b1-07ab01f3316c","year":2024},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:49.302064Z"},"links":{"citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:33bf3a58a4f6c5cc89ba2ae7bb27620a234c9b160ffe17f6bd65ad6a0a81e7d1","observation_id":"4fb12a1d-938f-451e-aaec-aeb8f2bd8d2c","resolution":{"observed_at":"2026-08-07T00:22:54.047830Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.04205","last_updated":"2024-04-18T23:49:56Z","snapshot_observed_at":"2026-07-06T16:44:23.357719Z","submitted_at":"2023-11-07T18:43:34Z","title":"Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.04205","snapshot_observed_at":"2026-08-07T00:22:49.409497Z","title":"Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves, April 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:49.409497Z"},"links":{"cited_paper":"/paper/2311.04205","citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:33708e27665bd8106d16a7ee51b096f158635a5f3626387d960e8850f0a9a93a","observation_id":"e8694535-1e80-4547-8b12-b8791f89d7ed","resolution":{"observed_at":"2026-08-07T00:22:49.409497Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.19495","last_updated":"2024-05-29T20:21:00Z","snapshot_observed_at":"2026-08-06T00:24:41.792920Z","submitted_at":"2024-05-29T20:21:00Z","title":"Qiskit Code Assistant: Training LLMs for generating Quantum Computing Code","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.19495","snapshot_observed_at":"2026-08-07T00:22:49.516103Z","title":"Qiskit Code Assistant: Training LLMs for generating Quantum Com- puting Code, May 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:49.516103Z"},"links":{"cited_paper":"/paper/2405.19495","citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:fc7936aa8d4ede85e43126677a4db42e8b76ecc847b0a61cfbf9460219510939","observation_id":"acd1a604-4681-401f-8b08-59258d5201da","resolution":{"observed_at":"2026-08-07T00:22:49.516103Z","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":"2026-08-07T00:22:53.864620Z","title":"A Survey On Large Language Models For Code Generation","venue":null,"work_id":"cbe7c901-c797-4cc6-a999-cf5e6031e0f4","year":2025},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:49.624395Z"},"links":{"citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:d2fd166bc71667c19ada12a885c6023104732a31ff58ba358bfef70861102237","observation_id":"af384443-e366-427a-8ffb-7a6d01b785d3","resolution":{"observed_at":"2026-08-07T00:22:53.925397Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.08810","last_updated":"2024-06-19T01:39:44Z","snapshot_observed_at":"2026-07-06T18:14:20.889736Z","submitted_at":"2024-05-14T17:55:32Z","title":"Quantum computing with Qiskit","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.08810","snapshot_observed_at":"2026-08-07T00:22:49.694630Z","title":"Wood, Jake Lishman, Julien Gacon, Simon Martiel, Paul D","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:49.694630Z"},"links":{"cited_paper":"/paper/2405.08810","citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:331f84d5dc98a16c8a5b2b18f9268c68419bf1d6640f81a4cbb0828b4a8ec1c7","observation_id":"b557eeea-5da1-4fa3-b96e-b6eaa772e22f","resolution":{"observed_at":"2026-08-07T00:22:49.694630Z","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":"2026-08-07T00:22:53.716440Z","title":"Code generation for classical-quantum software systems modeled in UML","venue":null,"work_id":"ea666922-3661-4c68-b5a7-fce975a70f97","year":2025},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:49.785870Z"},"links":{"citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:89d693bf8f4cd403b4241ba60c4ad4a2446e942779de9eb83e95c5a140040221","observation_id":"0ad43e4e-b287-43e6-9545-d4e8ced22387","resolution":{"observed_at":"2026-08-07T00:22:53.776806Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.20545","last_updated":"2025-07-08T09:46:27Z","snapshot_observed_at":"2026-08-07T07:24:17.397326Z","submitted_at":"2024-12-29T18:34:10Z","title":"The Impact of Prompt Programming on Function-Level Code Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.20545","snapshot_observed_at":"2026-08-07T00:22:49.875457Z","title":"The Impact of Prompt Programming on Function- Level Code Generation, December 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:49.875457Z"},"links":{"cited_paper":"/paper/2412.20545","citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:566e128ee3a18e5bebdd27243138ad8f187430db0e819b3a75e4e0d269db9e58","observation_id":"52b29d2f-4c75-4426-8dc9-18873f7a1036","resolution":{"observed_at":"2026-08-07T00:22:49.875457Z","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":"2026-08-07T00:22:49.970331Z","title":"Large language models are zero-shot reasoners","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:49.970331Z"},"links":{"citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:7880bce3202c784aa7b2cfbeb427b7da7be0e3b6a3e849c923fc2892447726ae","observation_id":"aefbfc8f-9c6d-40d7-bf15-bcfdf9aa7e65","resolution":{"observed_at":"2026-08-07T00:22:49.970331Z","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":"2026-08-07T00:22:53.531318Z","title":"Retrieval- augmented generation for knowledge-intensive nlp tasks, 2021","venue":null,"work_id":"68d9290f-926c-4c9b-855b-96056647ed96","year":2021},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:50.059821Z"},"links":{"citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:10709c69c788f72f1edb0fa9505fefd808d919ce10f6027736e7cc13a8f8ec40","observation_id":"da553df5-3290-4d20-b97c-51b7d22b6cfb","resolution":{"observed_at":"2026-08-07T00:22:53.620444Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.20329","last_updated":"2024-02-28T15:47:11Z","snapshot_observed_at":"2026-07-06T16:41:03.157136Z","submitted_at":"2023-10-31T10:15:35Z","title":"InstructCoder: Instruction Tuning Large Language Models for Code Editing","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.20329","snapshot_observed_at":"2026-08-07T00:22:50.160228Z","title":"InstructCoder: Instruction Tuning Large Language Models for Code Editing, February 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:50.160228Z"},"links":{"cited_paper":"/paper/2310.20329","citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:139de853dfee44550809ec1bd5d13deb7e07cea659b461a2def44352790ae360","observation_id":"366d38e8-bb68-45ea-957e-120c546776ba","resolution":{"observed_at":"2026-08-07T00:22:50.160228Z","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":"2026-08-07T00:22:53.386466Z","title":"Nation, Abdullah Ash Saki, Sebastian Brandhofer, Luciano Bello, Shelly Garion, Matthew Treinish, and Ali Javadi-Abhari","venue":null,"work_id":"734d7ae8-9084-4bc8-9a37-6611acf2a57f","year":null},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:50.281945Z"},"links":{"citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:7180f30065d53dc828013c14855dbf156c51ec6fd55fc9913a21c3f94e81c8b6","observation_id":"f4ab2487-f708-4610-b5bd-f6a64e495ef1","resolution":{"observed_at":"2026-08-07T00:22:53.465016Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1801.00862","last_updated":"2018-07-31T21:46:33Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2018-01-02T23:43:08Z","title":"Quantum Computing in the NISQ era and beyond","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1801.00862","snapshot_observed_at":"2026-08-07T00:22:50.472833Z","title":"Quantum Computing in the NISQ era and beyond","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:50.472833Z"},"links":{"cited_paper":"/paper/1801.00862","citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:db8bf455cb5ebb5a34b15ff59a23113a8747521c6035354e8eceb22e1a45cbcb","observation_id":"71228beb-06a7-4129-ae3d-fe2f8fd1ea7d","resolution":{"observed_at":"2026-08-07T00:22:50.472833Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.13719","last_updated":"2023-07-16T17:25:01Z","snapshot_observed_at":"2026-07-06T13:04:49.115605Z","submitted_at":"2022-04-28T18:00:10Z","title":"MQT Bench: Benchmarking Software and Design Automation Tools for Quantum Computing","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.13719","snapshot_observed_at":"2026-08-07T00:22:50.595262Z","title":"MQT Bench: Benchmarking Software and Design Automation Tools for Quantum Computing","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:50.595262Z"},"links":{"cited_paper":"/paper/2204.13719","citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:412f8a9d05a32fa2f27e6ccda81f2f7c1bcced6542afea0bf563d4abde077d50","observation_id":"9e56a773-4039-49e6-848c-7c993d84ce3a","resolution":{"observed_at":"2026-08-07T00:22:50.595262Z","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":"2026-08-07T00:22:53.170212Z","title":"A Systematic Survey of Prompt Engineer- ing in Large Language Models: Techniques and Applications, February","venue":null,"work_id":"3f22d4f6-f37d-4000-a664-8fcb41956fb8","year":null},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:50.673333Z"},"links":{"citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:4f1230d31e45181729c87808db5def28770eb9d928c3e2a4da3ec761dc93edf8","observation_id":"5a4758b4-17a2-4e6a-94c0-9f8707b7fa37","resolution":{"observed_at":"2026-08-07T00:22:53.298518Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:22:52.959793Z","title":"Taxonomy of migration scenarios for qiskit refactoring using llms","venue":null,"work_id":"2a0d7a96-f6c7-4ef9-aeac-71aceaf8cf77","year":2025},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:50.845241Z"},"links":{"citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:9476937a3444a9e725b2271fa85c60ba86ad74cbbe0359688035636b9cc12d15","observation_id":"4bf89e8a-df00-475e-8dd9-8a12a1c17902","resolution":{"observed_at":"2026-08-07T00:22:53.064873Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:22:52.772276Z","title":"Software associated to automatic qiskit code refac- toring using large language models","venue":null,"work_id":"daa664e1-c183-48de-8dc4-f2352b5ef90f","year":2025},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:50.944144Z"},"links":{"citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:86cf7035eb59a6e0f59adfbccbd41eb3322ef606ad1772694721e94aad0ebe0b","observation_id":"d886c84b-bcb1-4d0f-a6a4-aabd6de6e19d","resolution":{"observed_at":"2026-08-07T00:22:52.868156Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.07927","last_updated":"2025-03-16T06:23:34Z","snapshot_observed_at":"2026-08-05T17:55:26.008016Z","submitted_at":"2024-02-05T19:49:13Z","title":"A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.07927","snapshot_observed_at":"2026-08-07T00:22:50.772714Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:50.772714Z"},"links":{"cited_paper":"/paper/2402.07927","citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:8d5f9cbabae61e95d42feeb89e6b6547378737c92f83ce55debcf64e1a09b61b","observation_id":"44580b60-8f55-48ee-97eb-5b49584ae4d2","resolution":{"observed_at":"2026-08-07T00:22:50.772714Z","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":"2026-08-07T00:22:52.149813Z","title":"Zhang, Mark Harman, Don Syme, Joost Noppen, and Detlef Nauck","venue":null,"work_id":"96a65de7-b2dd-4dbe-ba92-eeca889fe0cf","year":2025},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:51.154810Z"},"links":{"citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:b40f8c4f414c7fa75fe8ea6dc5a3223e8b9e6d0ff7098a80ac8474118e4b5d94","observation_id":"6ea96c89-1a1b-4227-9f80-d3239028f63a","resolution":{"observed_at":"2026-08-07T00:22:52.254345Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.19894","last_updated":"2026-04-07T14:20:20Z","snapshot_observed_at":"2026-07-06T19:24:17.628876Z","submitted_at":"2024-09-30T02:53:03Z","title":"TransAgent: Enhancing LLM-Based Code Translation via Fine-Grained Execution Alignment","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.19894","snapshot_observed_at":"2026-08-07T00:22:51.251332Z","title":"TRANSAGENT: An LLM-Based Multi-Agent System for Code Translation, October 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:51.251332Z"},"links":{"cited_paper":"/paper/2409.19894","citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:678b46f131b93bc257619327b2eb2c16a07dd6568a1c7b08268fa9fe9cbb6de1","observation_id":"3ec91dd4-1ab9-4ee1-9136-839b458abee7","resolution":{"observed_at":"2026-08-07T00:22:51.251332Z","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":"2026-08-07T00:22:52.592970Z","title":"RefactoringMiner 2.0","venue":null,"work_id":"a1183dfd-6599-4fbe-a9da-bf99d085633d","year":null},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:50.995836Z"},"links":{"citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:a3981945d6526c886ab476b6eb30aea088c21fe714f3bbbd4f357c95919fa9d0","observation_id":"63f1c0d0-6653-4594-9bd8-c2ed3f057796","resolution":{"observed_at":"2026-08-07T00:22:52.653077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:22:51.953549Z","title":"Migrating Code At Scale With LLMs At Google, April","venue":null,"work_id":"9ff4bfb4-b34b-43a5-873b-f098b47a48fb","year":null},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:51.407168Z"},"links":{"citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:40946a49d3ea81a5884810e24c29bd7d94df19f8eca0da36e0309745cb3e76e3","observation_id":"97c12c2e-1aa3-4655-8ad9-ab3a550e16ef","resolution":{"observed_at":"2026-08-07T00:22:52.031865Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.10517","last_updated":"2023-06-18T10:15:37Z","snapshot_observed_at":"2026-07-06T15:43:54.377120Z","submitted_at":"2023-06-18T10:15:37Z","title":"On Refactoring Quantum Programs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.10517","snapshot_observed_at":"2026-08-07T00:22:51.319593Z","title":"On Refactoring Quantum Programs, June 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:51.319593Z"},"links":{"cited_paper":"/paper/2306.10517","citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:bbf942e4fb247ddeffb666d858138eb630ae9e6e05edd46e2ef4689a7ed25dae","observation_id":"9752cdf1-3022-44b7-97ff-9415c33cbbf4","resolution":{"observed_at":"2026-08-07T00:22:51.319593Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.09691","last_updated":"2025-04-13T18:52:44Z","snapshot_observed_at":"2026-08-07T16:06:06.446412Z","submitted_at":"2025-04-13T18:52:44Z","title":"Migrating Code At Scale With LLMs At Google","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.09691","snapshot_observed_at":"2026-08-07T00:22:51.543891Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:51.543891Z"},"links":{"cited_paper":"/paper/2504.09691","citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:7d4ef5e27dbaa74979f37b932cb30565e5eb5c40d2b8506052516db6aeba08f5","observation_id":"678abd2a-0ac4-44d2-b330-1bde7a4d9d99","resolution":{"observed_at":"2026-08-07T00:22:51.543891Z","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":"2026-08-07T00:22:52.392050Z","title":null,"venue":null,"work_id":"ffd27450-f066-4b53-8e34-237407c2dd55","year":null},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:51.090514Z"},"links":{"citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:59a3edc3c808f52c190b623cac3d8252b80ca0949728821b3604bd0c9e168ed9","observation_id":"78802281-bef2-4103-98d7-49b3538fdd71","resolution":{"observed_at":"2026-08-07T00:22:52.489343Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.02320","last_updated":"2024-11-04T17:46:20Z","snapshot_observed_at":"2026-08-04T11:37:37.551344Z","submitted_at":"2024-11-04T17:46:20Z","title":"An Empirical Study on the Code Refactoring Capability of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.02320","snapshot_observed_at":"2026-08-07T00:22:49.181710Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:49.181710Z"},"links":{"cited_paper":"/paper/2411.02320","citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:506fa35215320c3a6e148ce40ec9703d09ef65cff7798844b41bd232fea7d68b","observation_id":"37d51472-bd03-4e2d-93ef-76f54e6bc0bf","resolution":{"observed_at":"2026-08-07T00:22:49.181710Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.08844","last_updated":"2025-02-16T12:51:16Z","snapshot_observed_at":"2026-07-06T19:15:00.165369Z","submitted_at":"2024-09-13T14:03:09Z","title":"Benchmarking the performance of quantum computing software","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.08844","snapshot_observed_at":"2026-08-07T00:22:50.368490Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:50.368490Z"},"links":{"cited_paper":"/paper/2409.08844","citing_paper":"/paper/2506.14535"},"observation_digest":"sha256:e8e627f6db56b9ca1a0a3e9cb19cb8cd41af2089f6f6f3505bfcc07a9d2ced1d","observation_id":"2ef1c962-2800-45bc-bf52-8ee614b789ce","resolution":{"observed_at":"2026-08-07T00:22:50.368490Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.14535","last_updated":"2025-06-17T14:00:48Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-08T23:06:56.906624Z","submitted_at":"2025-06-17T14:00:48Z","title":"Automatic Qiskit Code Refactoring Using Large Language Models"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":16,"verified_exact":1,"verified_fuzzy":13},"total_outbound_references":30},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2506.14535."}