{"as_of":"2026-08-10T11:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b2e6cf90afb2a9d7faa056ac09b59551d08d3820228250966fca69e1af87744e","coverage":[{"denominator":65,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":65,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:26:04.940645Z","state":"measured"},{"denominator":66,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":66,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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":"2026-05-10T13:10:05.119477Z","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":"2026-05-10T13:10:25.771437Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"cited_work":{"arxiv_id":"2506.05536","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.05536","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"60847c50-d4cc-46ab-b281-1c8f0bb7cf97","year":2025},"citing_paper":{"arxiv_id":"2604.13812","last_updated":"2026-04-15T12:46:40Z","snapshot_observed_at":"2026-08-02T09:56:15.338791Z","submitted_at":"2026-04-15T12:46:40Z","title":"AlphaCNOT: Learning CNOT Minimization with Model-Based Planning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-10T13:10:05.119477Z"},"links":{"cited_paper":"/paper/2506.05536","citing_paper":"/paper/2604.13812"},"observation_digest":"sha256:a562527086e3b4be8404024e345bb443507a9655490a7f28ada2e28d46db0706","observation_id":"bce42fb5-dd8d-4095-8254-7fd1deb9f7db","resolution":{"observed_at":"2026-05-10T13:10:25.773959Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.05536/citation-record","integrity":"/paper/2506.05536/integrity","json":"/paper/2506.05536/citation-record.json","paper":"/paper/2506.05536"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.897921Z","title":"From that subset, iden- tify all “active” columns and rows Ac = [ q {c(t) q , c(t+1) q }, A r = [ q {r(t) q , r(t+1) q } in that rearrangement","venue":null,"work_id":"eeea47b7-632d-4891-9222-4d20613f3c8e","year":null},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.701842Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:f722d84d2f8b1a53079d540a5b6909b8322dc35f3cfc963d25155d7b8bc4fe7f","observation_id":"ff18179b-e6d6-47a9-9e95-1500232bc221","resolution":{"observed_at":"2026-08-07T10:26:05.902358Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.886481Z","title":"6 For more details on estimating n(t) m , see Sec","venue":null,"work_id":"627ec516-53a8-4bc0-97be-8322a4d0fb19","year":null},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.706144Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:c57bf89da72ea854907e76544a16aac091ecd674caa88323c96795d39127c7fd","observation_id":"8cec22ec-8f29-4a32-a429-44d572052289","resolution":{"observed_at":"2026-08-07T10:26:05.890652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.875342Z","title":"Here, we assume that half the atoms are moved per step ϵ = 0 .5","venue":null,"work_id":"4da2758e-2989-457a-920f-146468a999bc","year":null},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.710085Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:ed200d4cd310e262f84822e9b8b303d132a728c9e53c1547f5704c6fdab69b85","observation_id":"a9ef9f06-4c2c-4236-8f8c-ff6cda063c4d","resolution":{"observed_at":"2026-08-07T10:26:05.879017Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.862916Z","title":null,"venue":null,"work_id":"93b68821-5a3c-4799-a685-995a0f93757f","year":null},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.713983Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:abda7869c298518a82287a3d061dfc9fb42d8e08709dba7ac2ae326eb52d5251","observation_id":"c2399443-4b56-4e1b-bee5-e46291d153d3","resolution":{"observed_at":"2026-08-07T10:26:05.867622Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.851865Z","title":"carved out","venue":null,"work_id":"b5d41ea8-ee15-464f-9b7a-55bdcd64e1eb","year":null},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.717624Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:bb1e175e817ef6c51cdc99fea66e9f92901edfc65d85483bed3c1ec4b6652514","observation_id":"bbaba3d8-9330-4a44-9df4-ff60a071847b","resolution":{"observed_at":"2026-08-07T10:26:05.855730Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.839303Z","title":"They are then concatenated into a vector e: e = et ⊕ ea ⊕ el (15) Finally, a multilayer perceptron is applied to e to obtain d := {dj}ngrid j=1","venue":null,"work_id":"8a2e9a28-4a76-49bd-9fa4-92144ad98104","year":null},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.721587Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:bfbc730127b3536ddae3cab6e4ac69ff2c0ce75d4c138be748ab85ece1e61778","observation_id":"684c2f89-4da5-466e-a7ed-49dab967bff7","resolution":{"observed_at":"2026-08-07T10:26:05.844432Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.828043Z","title":"The output from those components is combined and processed in the readout layer","venue":null,"work_id":"1084c97d-0f3e-4cb0-ae0b-e5fbd4ec7898","year":null},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.725417Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:25fe64e4b06fcb2778eba7f660bcbcba93a44dd6d3b8c6e3a0255b983b91c007","observation_id":"e3249994-7444-4959-b91c-6c3fbe9c7ba8","resolution":{"observed_at":"2026-08-07T10:26:05.831931Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.817238Z","title":"We also describe how the value function is constructed for the actor-critic type RL algorithm","venue":null,"work_id":"29010e4b-663c-4072-9aea-5a23f8da94da","year":null},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.729058Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:d6a93ec4a6ad73aef710e4876e9a1995fb03f048211e74309170b5f780450c25","observation_id":"ba005bc7-3482-4597-97f2-c3dd0aaa777d","resolution":{"observed_at":"2026-08-07T10:26:05.821317Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.709962Z","title":"Parallel implementation of high-fidelity multiqubit gates with neutral atoms,","venue":null,"work_id":"0ac35645-97a2-460a-b430-57e875f8fd5f","year":2019},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.766634Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:384c2b1a3bd501c31ce87fdef56d82f29629f97c868c70728be4fc50251cf0f1","observation_id":"945a0a0e-8050-4518-97c3-4ac89712000b","resolution":{"observed_at":"2026-08-07T10:26:05.713406Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.794239Z","title":"Ghallab, D","venue":null,"work_id":"019183c7-2de6-4584-b666-21aa9cc19708","year":2004},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.736298Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:918538fa9ab631c4714d76825850338872299c50f91d940062e27092a1b12d35","observation_id":"0af130db-1f1b-4938-bb98-8fc745c384c6","resolution":{"observed_at":"2026-08-07T10:26:05.797774Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.783335Z","title":null,"venue":null,"work_id":"18c64882-ca7b-4048-b286-6c48b4e9cad3","year":2014},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.740036Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:baef85839697b4bc6bf795f9d631b039b11901ce5f45d3c7e51e333860ccb986","observation_id":"d8e20eed-20c9-4239-88b0-b5aea0987865","resolution":{"observed_at":"2026-08-07T10:26:05.786975Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.772015Z","title":"Pddl— the planning domain def- inition language,","venue":null,"work_id":"c86b8306-7f1f-4582-9e7e-86d7335af4ab","year":1998},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.743777Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:d29b06df4dff77da7b694969ae1727460df0ce9c90149444be410421901c7c40","observation_id":"b6fad40a-ef3c-410b-a7f1-4b5f495dbed4","resolution":{"observed_at":"2026-08-07T10:26:05.775760Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.761303Z","title":"The formal semantics of processes in pddl,","venue":null,"work_id":"c9c0d783-4da6-4e2b-9730-9ca6c0ef83d7","year":2003},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.747379Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:94d224ed53c39ffd02befdd18d0095d7bd6277c5ee7e83d28683fd648a148161","observation_id":"362c3491-4fd8-4346-ab81-fd196e73686f","resolution":{"observed_at":"2026-08-07T10:26:05.765236Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.751306Z","title":"Reinforcement learning: An introduc- tion,","venue":null,"work_id":"12aa1d19-bf24-4df9-8bbe-c825cab9f22b","year":2018},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.750893Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:5deeb30b39583177b3a8d03af41bcff8ed8842395284547888b89feded3cce99","observation_id":"b0d3ab67-898a-46ac-8f1d-a6a512f6d385","resolution":{"observed_at":"2026-08-07T10:26:05.754839Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.740961Z","title":"An introduction to deep rein- forcement learning,","venue":null,"work_id":"0e26801b-78de-4af3-9d21-684410b28c56","year":2018},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.755775Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:18492ccbe67619a041ea3350cc59cd8708833ca57c520b786f2180c83c39c41d","observation_id":"393ae498-0e50-4f49-af5e-cdaace4e4e29","resolution":{"observed_at":"2026-08-07T10:26:05.744469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.730741Z","title":"Mastering the game of go with deep neural networks and tree search,","venue":null,"work_id":"2c089553-96dd-4d1e-ac0e-6f9f3bf6b1ed","year":2016},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.759585Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:ed5db74d33e97d8afbbeac95d1a9254d9f2a97daa5e9e466207c7473c730fb88","observation_id":"39cdbeb0-6c30-44ed-aafd-3c5d0cffed54","resolution":{"observed_at":"2026-08-07T10:26:05.734284Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.720131Z","title":"Human-level control through deep reinforcement learning,","venue":null,"work_id":"3a81ae88-4e2c-4ce0-aa60-14482961fd83","year":2015},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.763030Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:1e004f11472d33137593c9988fdd6bd6ad8744a5a0093185c3ae118730de35a9","observation_id":"20dc4aa3-d06f-401a-b9c2-17bed7d6d1b8","resolution":{"observed_at":"2026-08-07T10:26:05.724162Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:04.800024Z","title":"Artificial intelligence for quantum com- puting,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.800024Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:d7069139dbe3c686344d54f4544d14b5e43642c1fd9d2e72f8deedacf20a0510","observation_id":"0671054e-c90a-41cb-afb5-73e95f373b12","resolution":{"observed_at":"2026-08-07T10:26:04.800024Z","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":"2026-08-07T10:26:05.700259Z","title":"Logical quantum processor based on reconfigurable atom arrays,","venue":null,"work_id":"12cd0325-0ebc-4676-a5c8-9cf2ea25a7e3","year":2024},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.770429Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:1c30202cfa4944a4613ff52c296ee43d733f7eea7a8d9d7f5002dbbfbba7496d","observation_id":"5be27c48-a26c-4db1-827f-382a316976d0","resolution":{"observed_at":"2026-08-07T10:26:05.703720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.689873Z","title":"High-fidelity parallel entan- gling gates on a neutral-atom quantum computer,","venue":null,"work_id":"961e622c-ae72-4158-8547-de0356e9ad26","year":2023},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.773859Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:3c0b0786459ba21cefdb357934ecbfc6ff91feb6c728235272dc945742bd53e3","observation_id":"63ca549a-73da-4f9a-9fce-cf7ee9ba362e","resolution":{"observed_at":"2026-08-07T10:26:05.693290Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.679785Z","title":"Quantum error correction below the surface code threshold,","venue":null,"work_id":"2bf9fed4-f937-415a-968e-599ea4365958","year":2024},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.777375Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:b80ff5161acdb12e4ec0dae1d9e773fbba302e7f34863f644418489f22a790ba","observation_id":"75fc0446-7177-4345-b1c3-0149734c2978","resolution":{"observed_at":"2026-08-07T10:26:05.683317Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.669964Z","title":"Experiments with the four-dimensional surface code on a quantum charge-coupled device quantum computer,","venue":null,"work_id":"f84dc409-3b33-4070-a7c3-af2967645dae","year":2024},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.781043Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:398f8dc987c6e12449b9d58f25ce5d2adc960fe3cf2f306b62c789c487f8ffd2","observation_id":"c0360544-72e4-4b20-acab-d72f55a57426","resolution":{"observed_at":"2026-08-07T10:26:05.673495Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:04.784569Z","title":"Scaling and logic in the color code on a superconducting quantum processor,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.784569Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:5c75af0f749e49ac800c9751a8120cf4cea3e53b17c1085b0d1f684bc51ef903","observation_id":"7baf33a9-201f-44d9-8917-22c593007a40","resolution":{"observed_at":"2026-08-07T10:26:04.784569Z","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":"2026-08-07T10:26:05.658895Z","title":"Scaling and network- 14 ing a modular photonic quantum computer,","venue":null,"work_id":"fe54f7a3-e4ae-4c7e-946e-a7e4f4866206","year":2025},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.788289Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:a0069d17433241a3951c71a427b57c8f3e1fa3401b6475e3f26746f0c044c517","observation_id":"ce454866-9f58-4a58-bae3-f80bab498dbf","resolution":{"observed_at":"2026-08-07T10:26:05.662826Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.648070Z","title":"Optimality study of existing quan- tum computing layout synthesis tools,","venue":null,"work_id":"ede905e5-3fd1-4539-a2c5-7589ea80ea9a","year":2021},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.791872Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:88ab5a0a3792399d105c6fbf53577209b595da8e3e9f0d737417060e901d4a18","observation_id":"74d250d5-af3b-4e49-88df-8ef4cee1cfb4","resolution":{"observed_at":"2026-08-07T10:26:05.651590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.637928Z","title":"Using reinforcement learning to perform qubit routing in quantum compilers,","venue":null,"work_id":"e361a2b5-b8c9-46d9-b2e8-994611acb65a","year":2022},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.795335Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:be118ddff19b124577da6436c21dff1e37139fd02908a0efe6be4ba1d0dd325f","observation_id":"32ed0d0c-55a0-4506-90e2-bf3baf0671fe","resolution":{"observed_at":"2026-08-07T10:26:05.641560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.587413Z","title":"Optimality study of existing quan- tum computing layout synthesis tools,","venue":null,"work_id":"f9e77f5e-8a28-4563-b572-0dff81e1f185","year":2020},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.834249Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:310cbe1009f01b914c5a8a261c3bf968db1ef3d47b6030489604372798ee91b2","observation_id":"1ff53f5b-a2d9-4393-81e8-b6ff97d9d281","resolution":{"observed_at":"2026-08-07T10:26:05.591079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.628755Z","title":"Optimized compilation of aggregated instructions for realistic quantum comput- ers,","venue":null,"work_id":"ed7fe778-caaa-4b00-84e0-4ed8deb5d6c4","year":2019},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.803907Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:ad1b2b20a4d7f225a8a8827ad5d1761ff162baa8fee568b53b44ae8d55197939","observation_id":"49e36a30-a188-492d-b0dd-f77a4c123238","resolution":{"observed_at":"2026-08-07T10:26:05.632045Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.15095","last_updated":"2024-11-02T05:11:35Z","snapshot_observed_at":"2026-08-07T09:10:19.495355Z","submitted_at":"2024-05-23T22:57:49Z","title":"Compilation for Dynamically Field-Programmable Qubit Arrays with Efficient and Provably Near-Optimal Scheduling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.15095","snapshot_observed_at":"2026-08-07T10:26:04.808196Z","title":"Compilation for dy- namically field-programmable qubit arrays with efficient and provably near-optimal scheduling,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.808196Z"},"links":{"cited_paper":"/paper/2405.15095","citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:ae5038ab51671070d81515bbc91b952f2a49b407452250faf4a31ae0436b3e81","observation_id":"bf2a5d52-0aca-4241-90b9-71727fc392e6","resolution":{"observed_at":"2026-08-07T10:26:04.808196Z","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":"2026-08-07T10:26:05.618537Z","title":"Elementary gates for quantum compu- tation,","venue":null,"work_id":"2fb9c266-f789-4db0-b429-5dd90bb8c1e3","year":1995},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.812345Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:0d7caa32493972149d5503275cf1303fcb402c1f8fe40d08b48697ebc8e67a03","observation_id":"9aea6a1b-a9ad-4d0f-985f-de370867472f","resolution":{"observed_at":"2026-08-07T10:26:05.622106Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.608097Z","title":"Efficient discrete approximations of quantum gates,","venue":null,"work_id":"c903dab9-2a2d-4796-9c95-7ad3cea252da","year":2002},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.815711Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:9327f82044c1b968989e5e4d86c94c87a38fa24d8b22c8a4910fc767c56b02a8","observation_id":"ccdcf5df-98c6-4582-9b02-c87b20607e74","resolution":{"observed_at":"2026-08-07T10:26:05.611805Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"quant-ph/0505030","last_updated":"2005-08-23T01:12:00Z","snapshot_observed_at":"2026-07-07T07:19:07.719177Z","submitted_at":"2005-05-06T00:55:45Z","title":"The Solovay-Kitaev algorithm","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"quant-ph/0505030","snapshot_observed_at":"2026-08-07T10:26:04.818974Z","title":"The solovay-kitaev algorithm,","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.818974Z"},"links":{"cited_paper":"/paper/quant-ph/0505030","citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:919fc547e5c0e54f2fff6704c88789df73142a260e4dc068fdfdb6391d7c28fb","observation_id":"b206f5c7-f3a6-47d7-a1f8-75c24b7a20a5","resolution":{"observed_at":"2026-08-07T10:26:04.818974Z","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":"2026-08-07T10:26:05.597784Z","title":"Quan- tum compiling by deep reinforcement learning,","venue":null,"work_id":"d02e9aee-a29f-4aa4-921c-81df4c11f974","year":2021},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.822901Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:487553eabfdbe3e08a674b9393fd5cb72111a90356c9b40cd66db09e90dcd470","observation_id":"c3ef3e91-bb9f-4c89-9a71-c06efcd68b39","resolution":{"observed_at":"2026-08-07T10:26:05.601566Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.07585","last_updated":"2021-03-13T00:49:51Z","snapshot_observed_at":"2026-08-09T09:41:08.515997Z","submitted_at":"2021-03-13T00:49:51Z","title":"Quantum circuit optimization with deep reinforcement learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.07585","snapshot_observed_at":"2026-08-07T10:26:04.826357Z","title":"Quantum circuit optimization with deep reinforcement learning,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.826357Z"},"links":{"cited_paper":"/paper/2103.07585","citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:2dc45bbc7ae054d5475d5629c301088a1b09bdc51b8fd1d73a0aa0f2fe6796cd","observation_id":"fb0c0fe5-f6eb-497e-a449-d47089e201f7","resolution":{"observed_at":"2026-08-07T10:26:04.826357Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.13196","last_updated":"2025-02-26T15:38:25Z","snapshot_observed_at":"2026-08-06T14:14:40.195625Z","submitted_at":"2024-05-21T20:59:12Z","title":"Practical and efficient quantum circuit synthesis and transpiling with Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.13196","snapshot_observed_at":"2026-08-07T10:26:04.830488Z","title":"Practical and efficient quantum circuit synthesis and transpiling with reinforcement learning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.830488Z"},"links":{"cited_paper":"/paper/2405.13196","citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:9ac235a3608864ff236d4c4dd703b79c8940b4e0c33583db29dfcda56a006747","observation_id":"2299ef54-55ac-4e2e-95db-f53d6d2e5fa2","resolution":{"observed_at":"2026-08-07T10:26:04.830488Z","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":"2026-08-07T10:26:05.501079Z","title":"An abstract model and efficient routing for logical entan- gling gates on zoned neutral atom architectures,","venue":null,"work_id":"1ce90c06-b2be-4677-b682-604a835dd6ff","year":2024},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.867122Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:5eacda7c84f4c07ebb23c5fd2e9dcdd359167c385eed2378669f7a507f78c8dc","observation_id":"b795ee73-08c1-4048-9a5f-57289cef43b0","resolution":{"observed_at":"2026-08-07T10:26:05.504620Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.575935Z","title":"A quantum processor based on coherent transport of entangled atom arrays,","venue":null,"work_id":"90cb5353-3abb-44b9-9e3b-d31750de881c","year":2022},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.838051Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:a773f0e6012c40e92415363b2c9ea4fdac7a2099be01f774d071935f35ec11a3","observation_id":"a1056c28-4dfd-4d5e-9974-d03aa013f147","resolution":{"observed_at":"2026-08-07T10:26:05.579849Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.565263Z","title":"Dispersive optical systems for scalable raman driving of hyperfine qubits,","venue":null,"work_id":"4f49c745-c856-43bb-ac55-232ebea0711d","year":2022},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.841491Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:d47ba272b16f20a17aa4cfca641d4ac055b2326680142ef25ba64bb33cb5f38c","observation_id":"d7e9ac5e-c7b6-4639-8372-887a8bb32e6b","resolution":{"observed_at":"2026-08-07T10:26:05.569022Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.554027Z","title":"Nmr tech- niques for quantum control and computation,","venue":null,"work_id":"560fcbe0-0cd4-4f3b-bf7a-ef6061c1fed3","year":2005},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.844853Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:a8aa9bab5904b9b7663db5e91b19f34c4ec7a51d1c59bc19525621583b803606","observation_id":"885e0319-5ac3-4001-b4a0-966b1f85e935","resolution":{"observed_at":"2026-08-07T10:26:05.558116Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.543697Z","title":"Optimal layout synthesis for quan- tum computing,","venue":null,"work_id":"d5e0cc3c-9cc2-4e89-8a30-27a2ba8d4c22","year":2020},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.848250Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:b0498f3205af60380935eb1ebb30d2462ddb0828b69d7343b110cba2d8882c51","observation_id":"8c15cf74-7c60-42d0-a01e-db6b43f71248","resolution":{"observed_at":"2026-08-07T10:26:05.547176Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.533361Z","title":"Qubit mapping for reconfigurable atom arrays,","venue":null,"work_id":"749e241a-96cd-4154-ba37-fb9643322fad","year":2022},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.851791Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:a271c02b3dd3ebd8bea4eb84961c5859a837c0037af8cde4ac790f8fb126b8be","observation_id":"179921e8-552a-4be2-a05f-d63aa1910b00","resolution":{"observed_at":"2026-08-07T10:26:05.536809Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.12263","last_updated":"2024-11-19T06:22:57Z","snapshot_observed_at":"2026-07-06T19:52:24.945260Z","submitted_at":"2024-11-19T06:22:57Z","title":"PowerMove: Optimizing Compilation for Neutral Atom Quantum Computers with Zoned Architecture","version":1},"cited_work":{"arxiv_id":"2411.12263","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.12263","snapshot_observed_at":"2026-08-07T10:26:05.155601Z","title":"PowerMove: Optimizing Compilation for Neutral Atom Quantum Computers with Zoned Architecture","venue":"quant-ph","work_id":"cec56c18-94c3-4f97-8b28-0cd8f22d813f","year":2024},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.855249Z"},"links":{"cited_paper":"/paper/2411.12263","citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:d3b225189d6b18e3dfc5852065aaefdcc6e6435d527de66bee1e9d10c3a0f690","observation_id":"f5618a65-7468-4ffe-bbbe-d679d741b97c","resolution":{"observed_at":"2026-08-07T10:26:05.163062Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.522927Z","title":"Parallax: A compiler for neutral atom quantum computers under hardware constraints,","venue":null,"work_id":"60622ba4-9c30-4070-b8b5-047536edf1f1","year":2024},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.859449Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:4b69f63df2156d721eb70c6be3e1f3cfe338564fb818445d4609865389395754","observation_id":"3781e3f4-d3ae-4c6c-934e-656c899cbd27","resolution":{"observed_at":"2026-08-07T10:26:05.526609Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.511498Z","title":"Reuse-aware compi- lation for zoned quantum architectures based on neutral atoms,","venue":null,"work_id":"e32c75e4-b811-4156-a783-02e18a72dffb","year":2025},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.862786Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:4e538d26f4a5760ec46920990703a548ab80ff528612d937cd2d93dd4c3a1a1d","observation_id":"55ba511e-f49e-4def-ab91-9c601488e465","resolution":{"observed_at":"2026-08-07T10:26:05.515771Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.425853Z","title":"Surface code quantum computing by lattice surgery,","venue":null,"work_id":"de9e065e-4760-4df5-879d-b14eb4a8a382","year":2012},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.900461Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:7cce2eeaf93668804263fab3793bf983baac2cb2a2a1a89324288ba6db836d3b","observation_id":"ecb2e1ad-771f-4239-b9cc-5c15db801154","resolution":{"observed_at":"2026-08-07T10:26:05.429268Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:04.871346Z","title":"Routing- aware placement for zoned neutral atom-based quantum computing,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.871346Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:7c63301c42ea3eb1665a87493b0e75a50a1382bd1f0f6f92d1dbd702fff20a6e","observation_id":"b466c79c-0af2-47e7-98c0-c62e4a5704ce","resolution":{"observed_at":"2026-08-07T10:26:04.871346Z","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":"2026-08-07T10:26:05.490316Z","title":"Constant-overhead fault-tolerant quantum computation with reconfigurable atom arrays,","venue":null,"work_id":"bc2d06e9-a8a6-42c0-bdff-6b5b7837847f","year":2024},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.874995Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:2abc5bf46d3647a0922e98c1e339d41737b7c32848e0d56e9faf59dfa23d7815","observation_id":"3df887ec-b695-4d65-97f7-42d15900892c","resolution":{"observed_at":"2026-08-07T10:26:05.493910Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.477272Z","title":null,"venue":null,"work_id":"4d8ba923-116d-4f9a-b78d-b2a2a349b44d","year":null},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.878015Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:12412994e4b8c1c68b3a9418fb22f004e2497e947e185bd760f6f9cedf8ff87c","observation_id":"8c7ff1d6-e4e8-4fc0-b63f-8f12b946cd4a","resolution":{"observed_at":"2026-08-07T10:26:05.480723Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.466888Z","title":"On colouring the nodes of a network,","venue":null,"work_id":"fa3faa6c-cb93-45f9-b3d6-63bf3413549d","year":1941},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.881491Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:6d9e224c1756202f08f969591996322695057780288c51e7b5981399bb1be4c3","observation_id":"5abf8e8f-8720-439f-9642-31f1c8951a21","resolution":{"observed_at":"2026-08-07T10:26:05.470507Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:04.885648Z","title":"Experimental demonstra- tion of logical magic state distillation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.885648Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:38dfc4c809de19711de74430cce4e230620fa51dd961af520610de244fcb6bf5","observation_id":"02f53b91-0c19-45ea-bd49-405d8baa4ed2","resolution":{"observed_at":"2026-08-07T10:26:04.885648Z","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":"2026-08-07T10:26:05.456628Z","title":"Fault-tolerant quantum computation by anyons,","venue":null,"work_id":"f8918d2a-a1cb-46b6-9912-21686707d152","year":2003},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.890194Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:f9a0c2fdb0b0f77563b6ce3b614e419e141eb3ea7fb15904f68007a4e75f7b60","observation_id":"b7240425-800b-4b85-9806-f21fc412a64d","resolution":{"observed_at":"2026-08-07T10:26:05.460309Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.446503Z","title":"Non-abelian anyons and topological quantum computation,","venue":null,"work_id":"1d391157-6140-41e1-baf6-bb80b2e9d432","year":2008},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.893604Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:5b805ce82c51611abf4271ed9b3c60185a62336eb01d84e75bab87288c7ab8db","observation_id":"634b6d1f-cfcb-48fd-b744-ad412c2bf459","resolution":{"observed_at":"2026-08-07T10:26:05.450075Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.435480Z","title":"Fault-tolerant quan- tum computation with high threshold in two dimen- sions,","venue":null,"work_id":"46097466-048d-4385-9b12-a4650cba0264","year":2007},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.897074Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:96446eb536dbf115f64ffa8055c1930cffd899a7a443e9d89838da732f1fc5d2","observation_id":"c6572743-f4d2-452f-ac61-8b50f1005d53","resolution":{"observed_at":"2026-08-07T10:26:05.439295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.804960Z","title":"The other hyper-parameters are listed in Appendix A","venue":null,"work_id":"4c6680dc-897d-40a7-81e3-c80bc96778cf","year":2000},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.732546Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:abb1ba311bd5b879b9c36b0afe72dd4e573e757f35c63116b78b28cfbfdc36ef","observation_id":"c05c71ef-9fec-41af-961a-324d4d5d5dee","resolution":{"observed_at":"2026-08-07T10:26:05.810224Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.415214Z","title":"A game of surface codes: Large-scale quan- tum computing with lattice surgery,","venue":null,"work_id":"c16c5516-53da-44ff-92ab-eeffd7d97923","year":2019},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.903933Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:c9787461808ad559f726bd72185562e58c968fa941fadd8e54c72eae95ce7575","observation_id":"01a56964-be1d-4a57-83a8-579a87b05218","resolution":{"observed_at":"2026-08-07T10:26:05.419088Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.403820Z","title":"Opensurgery for topological assemblies,","venue":null,"work_id":"a31866b6-b7f6-4c91-8acb-1e0a0cb91e69","year":2020},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.907427Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:30d6e8da332ce37dcee94e811adc68504322057979d480ea97cf938eff865cb5","observation_id":"b3869f46-7fe6-4fb9-8225-abedddf01e7c","resolution":{"observed_at":"2026-08-07T10:26:05.407938Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.392087Z","title":"Surface code compilation via edge-disjoint paths,","venue":null,"work_id":"cceeb91c-ccf1-48a6-9c6f-79168cbb5d97","year":2022},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.910851Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:c250db61768bd3c5ad091595412ed9988a94af3409200c4d0504dad217345c89","observation_id":"05e6ca46-3024-449e-92aa-a56e53f8cc77","resolution":{"observed_at":"2026-08-07T10:26:05.396084Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.379445Z","title":"A high performance compiler for very large scale surface code computations,","venue":null,"work_id":"2b13b372-dbc7-4de6-bf95-e9cac48c0744","year":2024},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.914221Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:d4f18d6854559943acee4b7dc82085ef7e234f7b2247209bb208e049f4deb857","observation_id":"35b8e837-8835-492d-a0ed-8207202f06e0","resolution":{"observed_at":"2026-08-07T10:26:05.384362Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.369073Z","title":"Mlp-mixer: An all-mlp architecture for vision,","venue":null,"work_id":"30b72f08-9304-4248-851b-b80cc5bec058","year":2021},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.917768Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:d2db178b58b781ec22c0da34aad5c6a10c6d5f187f2d90fade8d8b1acbfc9810","observation_id":"7009fb3f-5866-4c87-8d24-3b84db3a8504","resolution":{"observed_at":"2026-08-07T10:26:05.372357Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.358778Z","title":"Attention is all you need,","venue":null,"work_id":"afc94d6e-b0a7-45c1-83a5-226e147dd595","year":2017},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.921607Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:39ede26db90bb8d028bb6ab232f60b24bf87f07d3ed0b84f1e5e30d8d1944a25","observation_id":"d1ab2425-e381-45c3-99a3-166b1df0dbb5","resolution":{"observed_at":"2026-08-07T10:26:05.362023Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.347901Z","title":"MQT Bench: Benchmarking software and design automa- tion tools for quantum computing,","venue":null,"work_id":"2c152545-996a-426d-b29f-484ba841f322","year":2023},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.925838Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:eed5c738c906f37cb1ea387aa00c9b83e3a8121e90b69b06d9f534aa5e1c6518","observation_id":"8156f62f-0fe0-4f8c-b0c1-0a4e6ff22b4a","resolution":{"observed_at":"2026-08-07T10:26:05.351414Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.07965","last_updated":"2020-10-15T18:15:57Z","snapshot_observed_at":"2026-07-06T10:04:55.122236Z","submitted_at":"2020-10-15T18:15:57Z","title":"Observation of separated dynamics of charge and spin in the Fermi-Hubbard model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.07965","snapshot_observed_at":"2026-08-07T10:26:04.929309Z","title":"Observation of separated dynamics of charge and spin in the fermi-hubbard model,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.929309Z"},"links":{"cited_paper":"/paper/2010.07965","citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:f86c5c7232b81fd03ca66bd0a802b15a2cf05c1f657d7ce5c95736ac6b597833","observation_id":"5da6f857-fade-49d2-ad94-3e9cb882f1a2","resolution":{"observed_at":"2026-08-07T10:26:04.929309Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1707.06347","last_updated":"2017-08-28T09:20:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-07-20T02:32:33Z","title":"Proximal Policy Optimization Algorithms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.06347","snapshot_observed_at":"2026-08-07T10:26:04.933262Z","title":"Proximal policy optimization algorithms,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.933262Z"},"links":{"cited_paper":"/paper/1707.06347","citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:e6d2e1caf658867dee15827609d39d23743baac370a152980b53d9c9dcb1d418","observation_id":"1df36a10-4171-4622-8b63-b88ba88f41c5","resolution":{"observed_at":"2026-08-07T10:26:04.933262Z","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":"2026-08-07T10:26:05.338311Z","title":"Model architecture, training, and experimental parameters","venue":null,"work_id":"f31a0897-aa1b-45eb-a5bb-73ca83884f34","year":null},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.936889Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:0fc198a15b19cde97fc8074a259cbd043bbbc7fd9ff1b1ae2d4998c08d59bfdc","observation_id":"dae5996f-ce40-4b75-b160-8b8dedc18ed5","resolution":{"observed_at":"2026-08-07T10:26:05.341524Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:05.328058Z","title":"The list of the size of the grids in each benchmark experiment","venue":null,"work_id":"39c0e6ec-3789-4e07-aa0a-d25e7ea72baf","year":null},"citing_paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:04.940645Z"},"links":{"citing_paper":"/paper/2506.05536"},"observation_digest":"sha256:4e0ff83df50e65988862c60b50377885fc9e43ad11dfa1204a63bbccd001f9ed","observation_id":"8607e066-d364-40e7-a9b2-432778907b03","resolution":{"observed_at":"2026-08-07T10:26:05.331834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.05536","last_updated":"2025-06-05T19:34:01Z","latest_version":1,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-09T09:42:31.959367Z","submitted_at":"2025-06-05T19:34:01Z","title":"Quantum circuits as a game: A reinforcement learning agent for quantum compilation and its application to reconfigurable neutral atom arrays"},"reference_resolution":{"displayed":65,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":1,"verified_fuzzy":50},"total_outbound_references":65},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 1 inbound Pith citation observation for arXiv:2506.05536."}