{"as_of":"2026-08-09T21:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bc4831735de8fee0fb0a3657b4b61be734d5649c7ff4413695b66c48007edfcb","coverage":[{"denominator":34,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":34,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-12T04:14:43.579131Z","state":"measured"},{"denominator":34,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":34,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.03193/citation-record","integrity":"/paper/2607.03193/integrity","json":"/paper/2607.03193/citation-record.json","paper":"/paper/2607.03193"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":"Yu, Jay Gambetta, A","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:4a77be7a8d3da19bb5017edee524f4741f58ef7db68d93e5b418db446a3003f4","observation_id":"8a1d4fe6-d200-49c0-87d8-f533a02ba130","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":"Grimsmo, S","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:6ec5bf8f0c8c2f870204e6860208e819eac1cbffc59342713a33bacd3eee7e3c","observation_id":"b09738b4-98cc-4c59-b436-37466c981680","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":"Orlando, Simon Gustavsson, and William D","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:3414b5fbe9eded076f18624628f891c436d631420e325fd82eba4be3d4024759","observation_id":"09ce83f5-b5ff-4b9b-8184-9256afd6aed5","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":"Motzoi, J","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:bed4d5d4337df498013332c481b016a4259fb65de95994643b4dce5a5675eddb","observation_id":"bc31b17c-3982-4054-b37f-1323bb637ec1","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:e1a0e3aa06af9e9c51dc87d00eaf0f0d0b6ae0c449c5b1ab8550445f399b1247","observation_id":"6f3ea694-d620-4880-a768-0ca9da55365a","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:56d8601bb42cacb6f453a93b3f486784deee4e007c7cad559e175cba35fc0f9e","observation_id":"328887f9-9f14-49a3-b14e-2a8cbe0a8411","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","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":"10.1103/physreva.1","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:18:29.015312Z","title":"Cross, Lev S","venue":null,"work_id":"f082a72d-fada-4b59-b2f2-53eebc7768dd","year":2019},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:40d8da7038a6d6718a7f2a8973cb6b61afc4976f611702d544250ba16b742674","observation_id":"cd60ebc7-c72d-4b32-aa30-68eb17a8cae9","resolution":{"observed_at":"2026-07-12T04:18:29.017036Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-07-13T20:19:53.194078+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-13T20:19:53.194078+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":"Isakov, Vadim N","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:7b320155cc740ff96079363cf52bd1ac7151039d0fe615d9b4b28e00d448e633","observation_id":"92776cad-8d31-436a-b650-bf7d48ed16a6","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":"Bardin, Rami Barends, et al","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:e471466fe83c224efe4c9c8068b38a687514e09dd0f450f30b0118e7f5af924c","observation_id":"ae8c89ed-93f8-4f3d-a958-ba4a642195e2","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.14108","last_updated":"2021-10-28T17:52:43Z","snapshot_observed_at":"2026-08-09T13:20:23.376454Z","submitted_at":"2021-10-27T01:13:27Z","title":"Quality, Speed, and Scale: three key attributes to measure the performance of near-term quantum computers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.14108","snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":"Gambetta, and Blake R","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"cited_paper":"/paper/2110.14108","citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:c7445c4ff4e5021f910839b037b69d2e292c210c1872a68191805c6ab7d72803","observation_id":"492e35ea-aaff-481d-b9dc-2a99093b3da1","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":"Egger, Stefan Filipp, Frank K","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:5c89ac784cde23b63c2a7e0164b6d069d914a89e4b1326fa3430640a92b5b246","observation_id":"8f8720c3-f08f-4f76-9f56-0a6aba6e4cda","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:a201706cb4922f3e39c9131d06aa727d2b08c0d60eceba36b1263306fba02c7f","observation_id":"dd840118-a0a6-4f34-8611-06f69942a955","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2606.22376","last_updated":"2026-06-21T07:53:54Z","snapshot_observed_at":"2026-08-02T13:42:52.378665Z","submitted_at":"2026-06-21T07:53:54Z","title":"Vibe Calibration: Autonomous Bring-up of a 112-Qubit Superconducting Quantum Processor by a Skill-Orchestrating Language Agent","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2606.22376","snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":"Vibe calibration: Autonomous bring- up of a 112-qubit superconducting quantum processor by a skill-orchestrating language agent, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"cited_paper":"/paper/2606.22376","citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:1a3f624b9f5c425f473b6dc1102ae205e74b921d3c5466e4eaa54759aa47754c","observation_id":"500f5035-89d8-4cbc-826a-0310e0f18363","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.25884","last_updated":"2026-04-28T17:28:33Z","snapshot_observed_at":"2026-08-03T15:40:02.849060Z","submitted_at":"2026-04-28T17:28:33Z","title":"QCalEval: Benchmarking Vision-Language Models for Quantum Calibration Plot Understanding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.25884","snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":"Beysengulov, Daniel C","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"cited_paper":"/paper/2604.25884","citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:37994de85108cc8cf0c5ba58571f4eff606f1f24abeb47b626bcddf12984abd5","observation_id":"ba1b1432-2785-411d-aae9-f20a4bd919ca","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":"ReAct: Synergizing reasoning and acting in language models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:69a2c2c7807b68887f806df7a3049790735dc4b835a1c234663751b639ee6a4e","observation_id":"876f75dd-e778-4e0e-b8c6-21d49f7c165c","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:d94e042a01966e0a8d9b290b97cb1630aafc5b5b752deb8ebec37b442f1eec73","observation_id":"775a3ac8-170f-4edc-8e83-aa9e8ae4f800","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":"Toolformer: Language models can teach themselves to use tools","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:6c5df0874d6648a5fcbb7f9d436a58203b9511030db1394478c825f2f81368e2","observation_id":"9f3245ec-38d0-46ef-ab4a-fa14ca7b7b05","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":"Patil, Tianjun Zhang, Xin Wang, and Joseph E","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:0f9a63564c9c3c2432d810173296530ad85e5ad0cf3f0fd3d0d696981522ef68","observation_id":"4af87f71-31e3-4546-8b27-68d961d0588d","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":"ToolLLM: Facilitating large language models to master 16000+ real-world APIs","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:c11728928976a289a424016a9d2fa00a2ba3154902bfc74db8d4b75211a0fb53","observation_id":"34b33d78-40e8-49ce-ace2-8f9006e47166","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":"Bran, Sam Cox, Oliver Schilter, Carlo Baldassari, Andrew D","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:951fdf5d730c9d89003f80e205b11df5f494f0fbc1fa1bb3d155d6c90ad59f33","observation_id":"795af38f-d36f-46ea-8514-0cc6a958028e","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":"Boiko, Robert MacKnight, Ben Kline, and Gabe Gomes","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:15d6900d427bc311588d375232ce2482a13b5789dfbef7c73cbea786efd543cd","observation_id":"a2e7b032-e810-47f1-8080-50259486347e","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","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":"10.1016/j.cpc.2012.02","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:18:29.007082Z","title":null,"venue":null,"work_id":"a77753ce-3223-4cd2-aae3-b109d5f618aa","year":2012},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:d89bf109e2d73b97f09fac5f73189a83090b09f2aff82768e1dc23be1cb3bdd8","observation_id":"8e2c6831-bbf7-4a18-9759-478b22ceaf2c","resolution":{"observed_at":"2026-07-12T04:18:29.008563Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-07-13T20:19:54.39022+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-13T20:19:54.39022+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:d5cede57c296a13564b9a8bda46659a0261038f724dc2b645bd24aa812c70945","observation_id":"2a1bd633-4814-45fb-8165-b13862771710","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":"scqubits: a Python package for superconducting qubits.Quantum, 5:583,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:424fe8a8df64213f768fbc9351dc0cb4de171a3d014dba27eac5e7fdf719778f","observation_id":"701ec72c-da57-459e-ae9f-dae08b299f12","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:c111db2e93ae78bfb3e3b458e00f86167a68a067dae9912545889885e7074bc3","observation_id":"1d8d7795-4cd4-4521-a58c-4ddb803340d4","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:01a19a2148fc6227d50758cdbabebc109463f3cd6fa21b03060a4be72fa6bbbd","observation_id":"e96422fe-bc1a-42d7-b42d-aaf2f298c24e","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.15895","last_updated":"2026-04-17T09:47:17Z","snapshot_observed_at":"2026-07-06T23:03:21.422544Z","submitted_at":"2026-04-17T09:47:17Z","title":"Digital Predistortion for Flux Control of Tunable Superconducting Qubits","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.15895","snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"cited_paper":"/paper/2604.15895","citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:590994774aaf33be244ad6dc686f9a6ddb4de541bfe33eaec1d0ab137b918cc3","observation_id":"f37abdbf-e756-48d0-a894-5e82d6a702fe","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:d11d4a2dea630e67470857a8d99244e49dfaeb35fdde6d6a9112dc06060f8cb0","observation_id":"76c44d3b-073c-45f5-9626-967bea178584","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:229b864443911a636c1ceee418714953641e09d450ef131d27ba192667e53123","observation_id":"ecf72c25-c48d-43bf-9571-f901d69382ed","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":"Ithier, E","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:ea4a3ad41f8d8e1f7dd42cd2e0f7637f7e164aa4c428bbfdd6ece18742d41cad","observation_id":"cc122f0a-3da2-44c4-8353-b68c768b91d0","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":"Reflexion: Language agents with verbal reinforcement learning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:60cd284060c3d64b0fea1fd9cf83360c3cebdeb6b155264ff3465c23dad928e5","observation_id":"ace00196-c706-489b-9fdd-c9cac7ca32ab","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:759a53cba6823054d5f7560acf4943cd9e1a1b9a180e936822c45046eb6a2885","observation_id":"e0128331-0b4c-4eaf-a539-d63c947bcf7e","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":"Optimizing generative AI by backpropagating language model feedback.Nature, 639:609–616, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:2763bbdf7c896d7505d73b59a23cb7ffd8fc1ecd3f3ec1f45d30fc57ef5c9008","observation_id":"7703737b-e6d7-4035-90eb-f4f35940a1b9","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11805","last_updated":"2025-05-09T21:04:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-19T02:39:27Z","title":"Gemini: A Family of Highly Capable Multimodal Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.11805","snapshot_observed_at":"2026-07-12T04:14:43.579131Z","title":"I know / I need / Next","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-12T04:14:43.579131Z"},"links":{"cited_paper":"/paper/2312.11805","citing_paper":"/paper/2607.03193"},"observation_digest":"sha256:54366b22552cf0ebf49f8252bc10a1bcce671917287c39bec9fdc7386c5b3bb7","observation_id":"7da49d77-2d1d-463a-ae75-cb6af22685a6","resolution":{"observed_at":"2026-07-12T04:14:43.579131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.03193","last_updated":"2026-07-03T10:54:28Z","latest_version":1,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-09T16:04:48.125603Z","submitted_at":"2026-07-03T10:54:28Z","title":"Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment"},"reference_resolution":{"displayed":34,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":32,"verified_exact":2,"verified_fuzzy":0},"total_outbound_references":34},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2607.03193."}