{"as_of":"2026-08-19T06:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:42fdbc47110916071daaf05f470636be4a9407445739808afb7c0dc67c8b41b6","coverage":[{"denominator":42,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":42,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T11:49:34.197572Z","state":"measured"},{"denominator":47,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":47,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T05:50:37.370376Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":1,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.14557","snapshot_observed_at":"2026-08-05T05:50:37.370376Z","title":"Campbell, H","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.04923","last_updated":"2025-09-05T08:41:24Z","snapshot_observed_at":"2026-08-17T20:24:40.929545Z","submitted_at":"2025-09-05T08:41:24Z","title":"Artificial intelligence for representing and characterizing quantum systems","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T05:50:37.370376Z"},"links":{"cited_paper":"/paper/2504.14557","citing_paper":"/paper/2509.04923"},"observation_digest":"sha256:608bfb4c04540d9f62afd4d9aa130ebbb5608ca8c44481858fd8968b80d52713","observation_id":"62ec2ce7-dd53-4216-9a30-d8737cd7f2b6","resolution":{"observed_at":"2026-08-05T05:50:37.370376Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"cited_work":{"arxiv_id":"2504.14557","doi":"10.48550/arxiv.2504.14557","metadata_source":"arxiv_reference","pith_arxiv_id":"2504.14557","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https: //arxiv.org/abs/2504.14557 15","venue":"arXiv (Cornell University)","work_id":"6f23dbec-d79b-4b75-ac0a-e24fd38ddf14","year":2025},"citing_paper":{"arxiv_id":"2604.00149","last_updated":"2026-05-10T06:05:55Z","snapshot_observed_at":"2026-08-16T02:11:54.934036Z","submitted_at":"2026-03-31T18:56:37Z","title":"Towards Verifiable and Self-Correcting AI Physicists for Quantum Many-Body Simulations","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-13T22:33:21.677835Z"},"links":{"cited_paper":"/paper/2504.14557","citing_paper":"/paper/2604.00149"},"observation_digest":"sha256:cc4ec0ff3df6de07736bc75126cdedd68c80b73f76bcdcc6026b7f7f292a2500","observation_id":"c299860b-66b4-4844-97b5-cd6ba2b461f2","resolution":{"observed_at":"2026-05-13T22:38:22.699302Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"cited_work":{"arxiv_id":"2504.14557","doi":"10.48550/arxiv.2504.14557","metadata_source":"arxiv_reference","pith_arxiv_id":"2504.14557","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https: //arxiv.org/abs/2504.14557 15","venue":"arXiv (Cornell University)","work_id":"6f23dbec-d79b-4b75-ac0a-e24fd38ddf14","year":2025},"citing_paper":{"arxiv_id":"2605.07525","last_updated":"2026-05-11T15:11:44Z","snapshot_observed_at":"2026-08-13T23:17:35.115822Z","submitted_at":"2026-05-08T09:55:50Z","title":"Can LLMs Solve Science or Just Write Code? Evaluating Quantum Solver Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-11T02:00:22.091996Z"},"links":{"cited_paper":"/paper/2504.14557","citing_paper":"/paper/2605.07525"},"observation_digest":"sha256:94e6c555bb8c4d97a37d1027a7ad1d4ee65f3f0d6f71648acf400f431ea67caa","observation_id":"3a65e72f-3c7f-4699-bd0d-d742dcf816c6","resolution":{"observed_at":"2026-05-11T04:00:56.597560Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"cited_work":{"arxiv_id":"2504.14557","doi":"10.48550/arxiv.2504.14557","metadata_source":"arxiv_reference","pith_arxiv_id":"2504.14557","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https: //arxiv.org/abs/2504.14557 15","venue":"arXiv (Cornell University)","work_id":"6f23dbec-d79b-4b75-ac0a-e24fd38ddf14","year":2025},"citing_paper":{"arxiv_id":"2605.07525","last_updated":"2026-05-11T15:11:44Z","snapshot_observed_at":"2026-08-13T23:17:35.115822Z","submitted_at":"2026-05-08T09:55:50Z","title":"Can LLMs Solve Science or Just Write Code? Evaluating Quantum Solver Generation","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-12T04:19:18.041368Z"},"links":{"cited_paper":"/paper/2504.14557","citing_paper":"/paper/2605.07525"},"observation_digest":"sha256:5793d6d7590510529ced1c0dee363644b8fb9856aa2dcc19ab9101d4f131d5e3","observation_id":"8c478350-311c-402b-881b-06e028197e40","resolution":{"observed_at":"2026-05-12T06:21:28.161969Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"cited_work":{"arxiv_id":"2504.14557","doi":"10.48550/arxiv.2504.14557","metadata_source":"arxiv_reference","pith_arxiv_id":"2504.14557","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https: //arxiv.org/abs/2504.14557 15","venue":"arXiv (Cornell University)","work_id":"6f23dbec-d79b-4b75-ac0a-e24fd38ddf14","year":2025},"citing_paper":{"arxiv_id":"2606.20173","last_updated":"2026-06-18T12:40:43Z","snapshot_observed_at":"2026-08-16T09:41:41.677616Z","submitted_at":"2026-06-18T12:40:43Z","title":"Qiskit Code Migration with LLMs","version":1},"reference_index":132,"source":"arxiv_source","source_observed_at":"2026-06-26T16:24:25.357338Z"},"links":{"cited_paper":"/paper/2504.14557","citing_paper":"/paper/2606.20173"},"observation_digest":"sha256:7fbad3b142a2c662e6b76412322d6bf886bc720274627d869fbeabace5393783","observation_id":"c0a60fa0-0a5e-47a4-bcc9-26b23ef4ba89","resolution":{"observed_at":"2026-06-26T16:29:35.466517Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2504.14557/citation-record","integrity":"/paper/2504.14557/integrity","json":"/paper/2504.14557/citation-record.json","paper":"/paper/2504.14557"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:49:34.005078Z","title":"Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.005078Z"},"links":{"citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:de889a66931c2046f444368e7687723426b98834dccb2783de69db666487db10","observation_id":"f0bd46ef-b331-4716-b588-fb8c887ff1dd","resolution":{"observed_at":"2026-08-16T11:49:34.005078Z","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":"2026-08-16T11:49:34.010983Z","title":"A survey of embodied ai: From simulators to research tasks,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.010983Z"},"links":{"citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:091da9b8791d104fa407069b136d53f0c94280813c42cc165afb4c236ae24b25","observation_id":"1da70d2c-bd8b-45aa-9bba-64bdbc4a7ad1","resolution":{"observed_at":"2026-08-16T11:49:34.010983Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.00515","last_updated":"2024-11-10T22:02:27Z","snapshot_observed_at":"2026-08-14T16:40:35.729198Z","submitted_at":"2024-06-01T17:48:15Z","title":"A Survey on Large Language Models for Code Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.00515","snapshot_observed_at":"2026-08-16T11:49:34.016620Z","title":"A survey on large language models for code generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.016620Z"},"links":{"cited_paper":"/paper/2406.00515","citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:92b6ac3aa06c0e2e6fb7074ce1e1c856e285e03be9d83ca63f4c4d36492c8e56","observation_id":"a9e4b996-1113-472f-9af2-8055aa123966","resolution":{"observed_at":"2026-08-16T11:49:34.016620Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19173","last_updated":"2024-02-29T13:53:35Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-02-29T13:53:35Z","title":"StarCoder 2 and The Stack v2: The Next Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.19173","snapshot_observed_at":"2026-08-16T11:49:34.022134Z","title":"Starcoder 2 and the stack v2: The next generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.022134Z"},"links":{"cited_paper":"/paper/2402.19173","citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:68c1c033919817a1e536ede1f8fe36bb66cdf47a87ecdd84d0ab5c7521a732bd","observation_id":"0c3a525e-ec4b-418c-a51c-9aa5473cb29b","resolution":{"observed_at":"2026-08-16T11:49:34.022134Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.12950","last_updated":"2024-01-31T19:47:26Z","snapshot_observed_at":"2026-08-18T03:59:39.242039Z","submitted_at":"2023-08-24T17:39:13Z","title":"Code Llama: Open Foundation Models for Code","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.12950","snapshot_observed_at":"2026-08-16T11:49:34.026896Z","title":"Code llama: Open foundation models for code,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.026896Z"},"links":{"cited_paper":"/paper/2308.12950","citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:03218bb7b748685a6301cddfa56d582e82685e0f93c437fc0c212be215d9bc76","observation_id":"a49b058d-6afe-4ea4-a821-14b7f2ae5395","resolution":{"observed_at":"2026-08-16T11:49:34.026896Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.13010","last_updated":"2024-05-24T11:47:24Z","snapshot_observed_at":"2026-08-14T19:02:11.924748Z","submitted_at":"2023-12-20T13:22:41Z","title":"AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.13010","snapshot_observed_at":"2026-08-16T11:49:34.031816Z","title":"Agentcoder: Multiagent-code generation with iterative testing and optimisation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.031816Z"},"links":{"cited_paper":"/paper/2312.13010","citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:69ca62e359ae709ec435daa6f800609db475f7dbc16a5cdda60fd8162dd82034","observation_id":"adb457cf-fabf-4348-ace2-de8fe6756991","resolution":{"observed_at":"2026-08-16T11:49:34.031816Z","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":"2026-08-16T13:48:02.902669Z","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":"2026-08-16T11:49:34.037808Z","title":"Qiskit code assistant: Training LLMs for generating quantum computing code,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.037808Z"},"links":{"cited_paper":"/paper/2405.19495","citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:78a6b569b0bd1aaff8721476fd70bb4c8b9a46527c3a964e34ae86e5c793967d","observation_id":"a8154119-e00d-40da-8553-26ac04a313e2","resolution":{"observed_at":"2026-08-16T11:49:34.037808Z","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":"2026-08-16T11:49:34.042828Z","title":"Chain-of-thought prompting elicits reasoning in large language models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.042828Z"},"links":{"citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:50fe8c95231293ccca98feadc3b15ea6c3b5aed111e1c17ec917a52d2797e544","observation_id":"a20f8036-3911-4299-8e75-305f5556bb9d","resolution":{"observed_at":"2026-08-16T11:49:34.042828Z","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":"2026-08-16T11:49:34.047480Z","title":"Retrieval- augmented generation for knowledge-intensive nlp tasks,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.047480Z"},"links":{"citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:fee2903d251e291ef60d760fed53c5ee7b80c6af9fc146a0da672256c6e212b3","observation_id":"8067920f-bb6d-4f9e-835c-7ff8884ca5a6","resolution":{"observed_at":"2026-08-16T11:49:34.047480Z","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":"2026-08-16T11:49:34.052176Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.052176Z"},"links":{"citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:55b1d7ec964f4dd30bd1a6a8b0c053760f2b2f66ff39d03c81f799b21108255a","observation_id":"ffefb411-d923-4ffd-bfda-288a6938b92b","resolution":{"observed_at":"2026-08-16T11:49:34.052176Z","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":"2026-08-16T11:49:34.806862Z","title":"Gpt-4 technical report,","venue":null,"work_id":"be2d05f6-0a3c-4add-bc37-f85a428b8902","year":2023},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.056718Z"},"links":{"citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:67b3b24f1932c145b1304588fe6af813282a34e8e83a1bc7384696a7f0e5d0cb","observation_id":"b593ba71-d687-4cea-ac3c-07e229645631","resolution":{"observed_at":"2026-08-16T11:49:34.811732Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.03314","last_updated":"2023-06-05T23:55:37Z","snapshot_observed_at":"2026-08-16T16:19:58.635969Z","submitted_at":"2023-06-05T23:55:37Z","title":"Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.03314","snapshot_observed_at":"2026-08-16T11:49:34.061539Z","title":"Multi-agent collaboration: Harnessing the power of intelligent llm agents,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.061539Z"},"links":{"cited_paper":"/paper/2306.03314","citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:e7a383d52fe8f4dabeab9988e43f3c63eee4ff42d1fba38ec7038b2fd3346ac3","observation_id":"6cfe5248-a694-428d-9e8d-c060a8bd5a0c","resolution":{"observed_at":"2026-08-16T11:49:34.061539Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.14294","last_updated":"2024-07-19T04:47:36Z","snapshot_observed_at":"2026-07-06T18:03:47.096406Z","submitted_at":"2024-04-22T15:53:08Z","title":"A Survey on Efficient Inference for Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.14294","snapshot_observed_at":"2026-08-16T11:49:34.067274Z","title":"A survey on efficient inference for large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.067274Z"},"links":{"cited_paper":"/paper/2404.14294","citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:8d66e72937333fcd3d1111ea3feb6b017cba5a7ff464d46050745b02b07f02af","observation_id":"00778896-880e-4dd3-87ba-96176be3266f","resolution":{"observed_at":"2026-08-16T11:49:34.067274Z","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":"2026-08-16T11:49:34.072122Z","title":"Large lan- guage models are zero-shot reasoners,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.072122Z"},"links":{"citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:d08ed2af039d155897ca354c53cd90c80f787c83feda8359f3ce871e5f5412ff","observation_id":"fdfbafc3-a7eb-4232-96d3-c53721e094e7","resolution":{"observed_at":"2026-08-16T11:49:34.072122Z","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":"2026-08-16T11:49:34.076436Z","title":"Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer,","venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.076436Z"},"links":{"citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:880c92066655eb5d39f59d2f25a3e68b47e3e727aa8c361737d672b95d065301","observation_id":"ed5828cd-3895-4e12-a689-13a49136bfd8","resolution":{"observed_at":"2026-08-16T11:49:34.076436Z","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":"2026-08-16T11:49:34.769122Z","title":"Shor’s factoring algorithm and modern cryptography. an illustration of the capabilities inherent in quantum computers,","venue":null,"work_id":"4600552f-5493-466a-9532-b973ac9a4e6a","year":2005},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.080858Z"},"links":{"citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:4809a484fddc829de49ff2ceed22af0343ad3de75d6b1e3a03a1f1b95c34a7f7","observation_id":"18d228ca-a169-4e3f-9238-f0ec86da64fa","resolution":{"observed_at":"2026-08-16T11:49:34.774732Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:49:34.751426Z","title":"Simple quantum error-correcting codes,","venue":null,"work_id":"c7e88a30-60af-4954-90a9-34e222ec5d42","year":1996},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.085414Z"},"links":{"citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:325d5485745c3892d761080497b1af7137a9877c65c0d3b20a85272044e9b4fa","observation_id":"9de28090-fc03-48a4-a466-59357aa74a09","resolution":{"observed_at":"2026-08-16T11:49:34.756743Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:49:34.735401Z","title":"Surface codes: Towards practical large-scale quantum computation,","venue":null,"work_id":"bb1db098-5c26-42a4-baf1-069c525781c9","year":2012},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.089687Z"},"links":{"citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:f9f08f4c12bda5acf12556ca790f60d52b72011e4dee98be5ee2f66ef86b9fd4","observation_id":"64d35165-99be-4fb6-8089-4cd8487fc5c2","resolution":{"observed_at":"2026-08-16T11:49:34.740310Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:49:34.720033Z","title":"Exploring code language models for automated hls-based hardware generation: Benchmark, infrastructure and analysis,","venue":null,"work_id":"7fa17470-e67c-4181-9687-985c5a81d156","year":2025},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.094243Z"},"links":{"citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:6b7fd377340482d5765ca416ff051edc11262b5a5884d3420731ded8d7149b7a","observation_id":"a59f6f57-8183-484f-a0d4-1676e9ff31f4","resolution":{"observed_at":"2026-08-16T11:49:34.725026Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.03374","last_updated":"2021-07-14T17:16:02Z","snapshot_observed_at":"2026-08-08T11:58:24.516369Z","submitted_at":"2021-07-07T17:41:24Z","title":"Evaluating Large Language Models Trained on Code","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.03374","snapshot_observed_at":"2026-08-16T11:49:34.098877Z","title":"Evaluating large language models trained on code,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.098877Z"},"links":{"cited_paper":"/paper/2107.03374","citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:e59f8912b2d794f94fc3bdfb86c450d8089649c4515d90c4efa86cd3776380b6","observation_id":"436f66f3-2a22-49ae-85bb-0c88bd7c65b2","resolution":{"observed_at":"2026-08-16T11:49:34.098877Z","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":"2026-08-16T11:49:34.704309Z","title":"Qiskit humaneval: An evaluation benchmark for quantum code generative mod- els,","venue":null,"work_id":"c1254cc4-7b59-49c7-b3e7-d7fce3b60ea8","year":2024},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.103250Z"},"links":{"citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:a2619b0e88d52ee7d02eb7371294283b571be61f8aa02865acd330f2b0f251b3","observation_id":"61adc7eb-ec0c-4558-b47b-a253ff1ab7d0","resolution":{"observed_at":"2026-08-16T11:49:34.709670Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:49:34.687518Z","title":"Qiskit machine learning,","venue":null,"work_id":"a2a3ba59-7ac2-42f6-906e-2e139d0eccfd","year":2023},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.108253Z"},"links":{"citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:46013e151471c109715451cc31fecf486ab556d94d6261a9f64080ecddd6aa14","observation_id":"11b2659a-44c3-4d15-a2e9-0ed3c8f20b7e","resolution":{"observed_at":"2026-08-16T11:49:34.692841Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:49:34.112660Z","title":"A fast quantum mechanical algorithm for database search,","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.112660Z"},"links":{"citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:855b5cb5059de727d42467a27cf26ca1f94401117ef0c705cd4b224d1c61588d","observation_id":"0167adae-5b24-406d-917e-abff34a741e7","resolution":{"observed_at":"2026-08-16T11:49:34.112660Z","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":"2026-08-16T11:49:34.116981Z","title":"Experimental quantum teleportation,","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.116981Z"},"links":{"citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:4336b687075feabb7e5e1bdef3bf05aa3525bf0e12fe56e2571eb091409b1577","observation_id":"778adafa-26f1-4818-a0d7-7b9eab9c731a","resolution":{"observed_at":"2026-08-16T11:49:34.116981Z","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":"2026-08-16T11:49:34.653013Z","title":"Quantum walk based search algorithms,","venue":null,"work_id":"df796ff3-8770-4fbe-8642-4dd55e96c2ae","year":2008},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.121132Z"},"links":{"citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:eb0a7e7be0ab55d937c1db7fedc493c880e97cfc07377df20c963b96763cbb11","observation_id":"6ecd2982-810e-4928-873e-5be1e0726a49","resolution":{"observed_at":"2026-08-16T11:49:34.658074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:49:34.637718Z","title":"Quantum annealing: A new method for minimizing multidimensional functions,","venue":null,"work_id":"e14e8a3d-e39f-4a4c-9390-b42037d550ca","year":1994},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.125434Z"},"links":{"citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:1eaca33d9677eb6939c63fbb5bd9b3d45218ae754e9bf249a2419a280ab8ed6b","observation_id":"dd4c54c7-8e0e-4cd5-88be-1344e53a34d3","resolution":{"observed_at":"2026-08-16T11:49:34.642470Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:49:34.619917Z","title":"Re- inforcement learning decoders for fault-tolerant quantum computation,","venue":null,"work_id":"420ccfc5-9419-436f-bc94-f6e66ae31e12","year":2021},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.129755Z"},"links":{"citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:cf72cfeb6829ff05d3f2d9a5586afa101fcf885672826bb05b03536da4552845","observation_id":"4bb3bf60-7f57-40e1-895c-f6a048726194","resolution":{"observed_at":"2026-08-16T11:49:34.624670Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:49:34.134490Z","title":"Structured chain-of-thought prompting for code generation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.134490Z"},"links":{"citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:c65fe227f630d9d16be23de29913e113397294f70cde62c883dff1d239e82bf4","observation_id":"7a2fe7d8-e545-47a4-b597-451b8ef67531","resolution":{"observed_at":"2026-08-16T11:49:34.134490Z","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":"2026-08-16T11:49:34.138759Z","title":"LangChain,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.138759Z"},"links":{"citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:f19622e03593f70b3fc37b9c0590785dcc129c63d7f93a73cf21c7c02bdcf0e6","observation_id":"36359dd8-a718-43c6-b7fc-208fcef9d2cb","resolution":{"observed_at":"2026-08-16T11:49:34.138759Z","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":"2026-08-16T11:49:34.584139Z","title":"Ragatouille: State-of-the-art document retrieval,","venue":null,"work_id":"075b79ab-55d0-4f8b-bc96-9a29bd7538d3","year":2024},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.143213Z"},"links":{"citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:85e40c59fbc42adad5d4904e85a12e9a75484d884a52d317403d999355be8051","observation_id":"8986b212-6a9c-4c14-a02d-0ec5216c5697","resolution":{"observed_at":"2026-08-16T11:49:34.589249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.06161","last_updated":"2023-12-13T14:44:10Z","snapshot_observed_at":"2026-07-06T15:25:35.930688Z","submitted_at":"2023-05-09T08:16:42Z","title":"StarCoder: may the source be with you!","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.06161","snapshot_observed_at":"2026-08-16T11:49:34.147704Z","title":"Starcoder: may the source be with you!","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.147704Z"},"links":{"cited_paper":"/paper/2305.06161","citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:c8812da80f0f25c80d4e518f8714449a9f124b6a168bdcba2da4e0fba0d61ed6","observation_id":"2fcf02b7-b30e-4e3a-90f7-a441d5b8f0c7","resolution":{"observed_at":"2026-08-16T11:49:34.147704Z","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":"2026-08-16T11:49:34.152526Z","title":"Transformers: State- of-the-art natural language processing,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.152526Z"},"links":{"citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:ef5d1feb1ed1ea03b48b41990a5553a874497ee08b1a7322b33aebba183cf262","observation_id":"f1bc4376-aa06-48b4-8555-1b3e244e716e","resolution":{"observed_at":"2026-08-16T11:49:34.152526Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09685","last_updated":"2021-10-16T18:40:34Z","snapshot_observed_at":"2026-08-17T18:04:53.578114Z","submitted_at":"2021-06-17T17:37:18Z","title":"LoRA: Low-Rank Adaptation of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.09685","snapshot_observed_at":"2026-08-16T11:49:34.157271Z","title":"Lora: Low-rank adaptation of large language models,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.157271Z"},"links":{"cited_paper":"/paper/2106.09685","citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:2247aa42958644efe43be3fa17c053e08d7ae6ee451661d598f7570c83a0983c","observation_id":"4470ac0f-7698-4504-a28b-67e6f2382d0b","resolution":{"observed_at":"2026-08-16T11:49:34.157271Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.14255","last_updated":"2022-07-28T17:40:47Z","snapshot_observed_at":"2026-08-12T15:32:23.741504Z","submitted_at":"2022-07-28T17:40:47Z","title":"Efficient Training of Language Models to Fill in the Middle","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.14255","snapshot_observed_at":"2026-08-16T11:49:34.162073Z","title":"Efficient training of language models to fill in the middle,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.162073Z"},"links":{"cited_paper":"/paper/2207.14255","citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:222df1f32114c77432a33ad2986d4cb2abc13a521b9a2c70945b368aed8d8b15","observation_id":"2667d575-ca6c-4e8d-9fb1-b02503ca2f5f","resolution":{"observed_at":"2026-08-16T11:49:34.162073Z","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":"2026-08-16T11:49:34.166556Z","title":"Rapid solution of problems by quantum computation,","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.166556Z"},"links":{"citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:daeb316041af0fe542def26267394ae162145263f4093d1ac0a32a1f4c4393b5","observation_id":"caf9e738-ffca-42c8-bea6-165e491b8f9d","resolution":{"observed_at":"2026-08-16T11:49:34.166556Z","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":"2026-08-16T11:49:34.547884Z","title":"Ibm quantum brisbane backend,","venue":null,"work_id":"580972fa-9617-4551-8c07-46308f657831","year":2024},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.171395Z"},"links":{"citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:41e9557d3d0a44be5399f2de8937f4e4661860a1035b2082aafac2b649708148","observation_id":"0677b59c-240b-42b7-a6ed-87a1034466ee","resolution":{"observed_at":"2026-08-16T11:49:34.553471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.07431","last_updated":"2024-10-03T13:07:25Z","snapshot_observed_at":"2026-08-16T13:19:22.764524Z","submitted_at":"2024-09-11T17:21:59Z","title":"Synthetic continued pretraining","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.07431","snapshot_observed_at":"2026-08-16T11:49:34.175672Z","title":"Synthetic continued pretraining,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.175672Z"},"links":{"cited_paper":"/paper/2409.07431","citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:4daea2a9bd0037f6a6b576c2ed459353f4b0276ba514e71a7369c71bbe628429","observation_id":"dc9863b1-3a37-49da-8953-008570f09beb","resolution":{"observed_at":"2026-08-16T11:49:34.175672Z","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":"2026-08-16T11:49:34.529953Z","title":"CLUES: Collab- orative private-domain high-quality data selection for llms via training dynamics,","venue":null,"work_id":"4f69a8c0-a723-439e-ac18-b56d12f59925","year":2024},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.180116Z"},"links":{"citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:c7185d9d113ceaa495b46dcb431e47736b721e7c1a503687c5bf1da6d9f67399","observation_id":"0db9ebfc-7d52-423e-8fda-c8aadbdd9b75","resolution":{"observed_at":"2026-08-16T11:49:34.536170Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:49:34.511751Z","title":"Breaking physical and linguistic borders: Multilingual federated prompt tuning for low-resource languages,","venue":null,"work_id":"1c2bbbf0-fb79-4ce1-b0d7-7dd41f2881dc","year":2024},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.184611Z"},"links":{"citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:06fb2d0d98f36a944a5e5d04cbc88f2b79201735681f9428ef84c2d20bdfb12e","observation_id":"5dc82a49-e6e8-49dc-842b-cf3660aca323","resolution":{"observed_at":"2026-08-16T11:49:34.518912Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.03314","last_updated":"2024-08-06T17:35:05Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-08-06T17:35:05Z","title":"Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.03314","snapshot_observed_at":"2026-08-16T11:49:34.188878Z","title":"Scaling LLM test-time compute optimally can be more effective than scaling model parameters,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.188878Z"},"links":{"cited_paper":"/paper/2408.03314","citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:d4e20ac26910f23fc0ceb44757a20b9a92f5f1500268e60e4f4be67e4154816d","observation_id":"94f55748-98da-4d45-9b25-d60490faacfc","resolution":{"observed_at":"2026-08-16T11:49:34.188878Z","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":"2026-08-16T11:49:34.193336Z","title":"Hardware-aware parallel prompt decoding for memory-efficient acceleration of LLM inference,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.193336Z"},"links":{"citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:9cb4e8e8518567552cce180f78bd2a8ec53f5d47029c402588cfd2c7c1a4df8a","observation_id":"3f255054-a3dc-42e1-9450-42b9bf22cf81","resolution":{"observed_at":"2026-08-16T11:49:34.193336Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13461","last_updated":"2025-02-27T11:13:19Z","snapshot_observed_at":"2026-08-16T13:08:27.419970Z","submitted_at":"2024-10-17T11:46:33Z","title":"Progressive Mixed-Precision Decoding for Efficient LLM Inference","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.13461","snapshot_observed_at":"2026-08-16T11:49:34.197572Z","title":"Progressive mixed-precision decoding for efficient LLM inference,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-16T11:49:34.197572Z"},"links":{"cited_paper":"/paper/2410.13461","citing_paper":"/paper/2504.14557"},"observation_digest":"sha256:d90bdb9ab00ee5e320ab7892fe7808491839ab0f87cd754bcdcf12ab69930f4e","observation_id":"f643c4c5-644e-492a-bfa1-5b04d583fcc4","resolution":{"observed_at":"2026-08-16T11:49:34.197572Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2504.14557","last_updated":"2025-07-02T20:14:19Z","latest_version":2,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-16T11:43:58.081201Z","submitted_at":"2025-04-20T10:06:37Z","title":"Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction"},"reference_resolution":{"displayed":42,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":28,"verified_exact":0,"verified_fuzzy":14},"total_outbound_references":42},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 5 inbound Pith citation observations for arXiv:2504.14557."}