{"as_of":"2026-08-10T17:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b091d1cb6db528d94adfec8820a0841935680c04d6eb558cb00a971d50ec2c16","coverage":[{"denominator":102,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-12T17:41:08.458807Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2607.05400/citation-record","integrity":"/paper/2607.05400/integrity","json":"/paper/2607.05400/citation-record.json","paper":"/paper/2607.05400"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T17:41:08.458807Z","title":"2021 , eprint=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:2c610bb8bc64e3e7a410378147c2c195e8629a2e94efc864c56808bbc8260650","observation_id":"f6c9748c-87dd-436a-a461-67c4224011d7","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"2025 , journal=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:6ec84565b52c19c4e38144c2dbf13bc0996a6ce49b8536534a8b542da9bfc3d4","observation_id":"12aeddc2-268c-4a8b-877a-3036abb26eee","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"2021 , publisher =","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:3c3422901f6010f66e085cd7767a8099628a2833cc68b396a37285b6ee30cf35","observation_id":"85aa9895-4c6e-42ab-84b3-ec20611a91ae","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"2022 , url =","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:bd37fccb9ddf7aebcd183c4f648a774f49c04c60657ad15d173f556679d80c8a","observation_id":"f7009518-3828-4947-bc6d-924880f9876b","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":", title =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:0e05be4f1d71ec99db55489859acc260b9e1f771ae3f237d27ebbaf75989b562","observation_id":"4ee67d28-1198-4aa1-b600-f608fdf938bb","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"2021 , isbn =","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:f3aa333e6fa875721d92275a20f1b93969432ee1b47d272a6bef472fa1ae2e8f","observation_id":"d2a6e961-e118-4510-a025-ffafc284e36d","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"9951.359759","doi":"10.1145/3569951.3597597","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"and Chen, Jiunn-Yeu and Duarte, Javier M","venue":"Practice and Experience in Advanced Research Computing","work_id":"0578defc-6f58-426c-bb12-21284f033f48","year":2023},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:319d315453914bdfddc613153b77e913dcef988be915d81f5f13bed9e87d21e4","observation_id":"064cdd28-15fd-4978-809c-eeb310336528","resolution":{"observed_at":"2026-07-12T17:48:59.028056Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T17:41:08.458807Z","title":"2021 , howpublished =","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:4ed2935d5e8810038e853f489f3e363ac5a43f74e0d276cabde6a3f771d64f58","observation_id":"f1212ab9-8b0b-4eb4-9795-86ca1044b1b4","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"Proceedings of the AAAI Symposium Series , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:bcae8d29550f699dc299127fbf9418be4731ceea460926a9b04d7bb7b0368988","observation_id":"2a6a32e5-dccb-4aa9-9a93-99d7ef7ee0cf","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.03599","last_updated":"2024-12-03T04:52:41Z","snapshot_observed_at":"2026-07-06T20:01:45.826971Z","submitted_at":"2024-12-03T04:52:41Z","title":"CPTQuant - A Novel Mixed Precision Post-Training Quantization Techniques for Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.03599","snapshot_observed_at":"2026-07-12T17:41:08.458807Z","title":"arXiv preprint arXiv:2412.03599 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"cited_paper":"/paper/2412.03599","citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:22d48608a5bd73d29c096e7270954985ebf0df2da4f90c11551600416fdf74df","observation_id":"a3ac4a52-b326-47de-89f6-3bca642a12ad","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.06196","last_updated":"2025-03-23T14:51:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-02-09T05:37:09Z","title":"Large Language Models: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.06196","snapshot_observed_at":"2026-07-12T17:41:08.458807Z","title":"arXiv preprint arXiv:2402.06196 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"cited_paper":"/paper/2402.06196","citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:482e206b0393644c5e7ebb293f66b9fd76cfce9beb55d281740e892d9f342d1b","observation_id":"ef4357e5-2687-4806-9c96-a84853b2d064","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"IEEE transactions on knowledge and data engineering , volume=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:8d82b548edac4551308bc44d3146f2d886928fa2afe8b2342e180ed43888574c","observation_id":"92cde7e2-1a5e-418c-b610-feb983939803","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"Abril and Robert Plant","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:fa348b7ada055669b00c2d7c2e54cb67d4884c2dffd1fff667ca2a80bc1e26dc","observation_id":"a9ba7650-97d0-4317-ac74-cd0d1cdc3fd3","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"Deciding equivalances among conjunctive aggregate queries","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:76e5dfa93d2a67bc40f29438dc0e1f019338d67cb7ae783be3c838fbc77b550f","observation_id":"d083775c-db7a-4699-bb2d-161ccfdb7ee3","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":null,"venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:64f397552444f343bff16167ac2c8ea8264d3b9a229d630b10f95796c92749ce","observation_id":"a721d790-0c47-418a-a28f-0225edb9ce48","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"Understanding Policy-Based Networking","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:59b25418420316a283b56f4024d0283f36d7d20a7d60f519dec6f7ae3f3573bf","observation_id":"ae7abb0b-6a68-4c26-b031-3cbcfff88ba1","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"doi:10.1007/3-540-09237-4","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:9d17cb8ed5ef5b805afba8961b82206e0e2d2836aba35ba591a0c3bcdb0cd07d","observation_id":"f4f2fd86-4f5e-4353-a11d-cdb916d208bb","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:bedb8596ce50b1cb433e6a1ffffca864aec5dcff8687b6b6b0f18f1d11564cc4","observation_id":"89bbc797-ff89-43d9-803e-e833374039e6","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"Douglass and David Harel and Mark B","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:61f7d792e89bfe8707779b787ef2ffd9b8977f688e7560bd16829878cc744fff","observation_id":"9cc423eb-3edc-45e0-832b-aef1bdbb2aef","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:684ac8f362a276bf9be132ec5f64a23584caa5594fd16d4bd658488b0450f08e","observation_id":"c98c146c-f8b9-47c9-83cf-855a7df5c7a8","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:ca0559847cd8a90c72580e8712df7cb93d3520313dc78bac445dc5ce56890624","observation_id":"80ecd2f3-aa00-489b-9652-d2e3abb96a2c","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"Structured Variational Inference Procedures and their Realizations (as incol)","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:f56c035aa1fc1ac58e0385ddae521a49567950280136232f3d3380fa99542391","observation_id":"1578b48a-a517-457c-ad6d-e39bbbd08dc6","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:085edf81ca2f88d613a1a2566b7333b885269393fd691c3ec87c1f9940f5cfbf","observation_id":"88a26383-4104-47c0-a119-b574fd154c5d","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"Catch me, if you can: Evading network signatures with web-based polymorphic worms","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:d5fc195394ff17003506a22a317cb4fce202406ef56d1d1b35d8a785e518444b","observation_id":"f1dd1009-4366-45fb-8c69-d0c874c4f83a","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"Predicate Path expressions","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:97028143b9438c9ef188aa969987a3d1017fe6a13a58002a6897c59d1de3a061","observation_id":"8c3a8836-e87b-49cb-9339-4bcc99e72dd4","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"LOGICS of Programs: AXIOMATICS and DESCRIPTIVE POWER","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:fae725dcb957dfc374230db73bef51abe461199eb851c6ce83beb3ca1dec3c96","observation_id":"01a116b8-f293-4b3f-8b27-691372d6a02c","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"Anisi , title =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:a7f2fde5aded72907da915e7f01d7238ae3bd53d0035ae2237e89b49db268c71","observation_id":"e8ad45e6-8598-4354-a749-86f0a1b53b34","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","resolver_source":null,"status":"parse_uncertain"},"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":"2026-07-12T17:41:08.458807Z","title":"Clarkson","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:b5698d0f4e6efee4fbfd9e275017b3fddfda0f740a1070be08d27a53fb41b775","observation_id":"6f50ffca-db65-4a26-b0fb-c6b280468a11","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"Introduction to Bayesian Statistics","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:697ff8d6311ad040f847d27849589f8ff9a25d4514dbe75f4f5c8d9be362d571","observation_id":"8d8b7e25-bdc6-4dc9-91ff-963df99aa9de","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"CLIFFORD: a Maple 11 Package for Clifford Algebra Computations, version 11","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:036f4645f074cd0ee32f8bb7849595bd571c621c8f191ff3212030bc8fd82a1f","observation_id":"f9a1a404-74ca-48d2-8a83-0e477663d41c","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"Stats and Analysis","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:62afbc46305ab0cc4bd3324cad7b6004868908114b83316d864db767cf4c9c27","observation_id":"da5c8d21-6979-4f57-9df9-0efe7940cdcd","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"A more perfect union","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:ac7ec8788828e81c5ed27a12d6567218834fa545181804a4c175ef4cbb0d8dc2","observation_id":"ea3f5b22-c6d7-4933-95ec-4a0e8dfe8b61","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"The fountain of youth","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:90beec527ed0a809929d5ac1780567f7a9b5ceed503ddb313a59314a149c51e7","observation_id":"86631c00-e89f-4e57-b2da-da1780507d21","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"Solder man","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:2a8272a77f3c9de33a580a0848ff68bf174280b4ed8654d28a8964e49f8aae63","observation_id":"78055cf7-efaf-4cd2-8baa-e982ef49aa68","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-07-12T17:41:08.458807Z","title":"Interview with Bill Kinder: January 13, 2005","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:49795c655e1507e7710602e050d62110b9e81c4fd575facae0f95bd260cfce70","observation_id":"2e5c57ad-6dc3-4e0b-8ffe-8850af78efcd","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"The Enabling of Digital Libraries","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:d9c39881b5caf397bd83e44982129280aa5916a9b7e664a3992877f82277358e","observation_id":"a9d8ce40-6661-449b-a14d-fa70c6d9b35b","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"(new) Finding minimum congestion spanning trees , journal =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:f16e2b6a9c3098254557b90f3d786d50f7fdc72258ad4342b1baa8105ff29afe","observation_id":"4a5a61ca-4a03-434c-a156-18d3fdd91bdc","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"and Mei, Alessandro , title =","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:cbc45a6c53fc0d500c084ecd777b609fef1daa7755395c787169af5124a708af","observation_id":"2532fa7c-726a-47c8-ab1e-a11148781b85","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"and Hutchful, David K","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:7b90b5acaa2d159fd9a3b563352a695cd2d884914890feb84c78333f16570b48","observation_id":"33044e5b-70ca-45b7-a0a8-b278cf273844","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":", title =","venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:2c6659824f917a77f5ba5439aecacaecb6db2b3a1e248b9b5c84ba008ae2bfe6","observation_id":"59e0a387-a74e-4f65-a0c4-187307981590","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":null,"venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:3842bc84fd029864e22ea96e6180d047ca61ef42719429cb1f21744ca3618c20","observation_id":"9aa646a1-6975-49a4-afdc-68472f79f22c","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"and Rosenberg, Arnold L","venue":null,"work_id":null,"year":1987},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:51191778a0b06fc9598f69de665a7d9d93c0eeee334acbbbd5d857f104aa1f75","observation_id":"45aca5e0-0573-4918-a30f-bdc96daeb84b","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"CHI '08: CHI '08 extended abstracts on Human factors in computing systems , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:6c6dff62181508fd166a98e56367ce2abc6a1411585861bf06c45bf4f99462a5","observation_id":"6c9e0ea0-1f2b-4da7-8cb0-6ae92e5538fd","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"Algorithms for Closest-Point Problems (Computational Geometry) , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:3c85a84a9b308aa124557c674b080873e0df4d52cd38c709c070f2f3ed6d0b04","observation_id":"0cd2dc07-cb63-46c1-a12d-b89e272893f2","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:1e61844f87030db6846956867991b01a83eab61395437ac43f9a7d54b277bccf","observation_id":"ff6d95be-b993-4344-88f1-615a096a6a34","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"2004 , isbn =","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:42446b990e4595d94488b5475bb30bfc64834573d900d93d1845f2ce2ae92efd","observation_id":"c871b0b6-6493-48b5-8bf4-0992bdd72359","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:b86fc3eefbba8b319252f420159d877a8824263e0cc9c1c8b77e94b7721daa7c","observation_id":"e75a60a8-a38d-429b-a246-e6fa5561deaa","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":", title =","venue":null,"work_id":null,"year":1986},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:e7f947c3e177da43961f3230c38b6230c437ed6d0c525f84fb04cb9586f9a79e","observation_id":"c07eab97-7dd4-40a7-84e4-7f87741a6b9c","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":null,"venue":null,"work_id":null,"year":1981},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:82dc475846518c1e56321ef71f4b663a7ba26b4f48b0392aedada88bee36ef5a","observation_id":"b97d9f9b-b61d-4d57-8bbd-e454323f418c","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"E-commerce and cultural values , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:773869c00b57989c91a21c76ffbcbd901a7d80e062e6971938a2c35f4d4580d1","observation_id":"4b20bb7d-8516-43d3-8b79-371b937de8c8","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"E-commerce and cultural values , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:6efadec118db0f068abb819eeca466efaa0822559d5587ca4c639736e3a492c3","observation_id":"6543192a-3b0a-475c-a020-7535204a9371","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"Chapter 9 , booktitle =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:a5ecb448de18890f0b4b39e5471268e8f0bc81a10ffc2e0a1fee8d721e861ede","observation_id":"f29c1ab2-a854-480c-94a7-caa6b75911eb","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"E-commerce and cultural values , editor =","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:51abd2861fe07f708fd6b92d5f63dec7581feb97cca04f49bdf23edf44c455ca","observation_id":"5c25d783-4d37-4644-9c70-0cd9efe7e1ea","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"E-commerce and cultural values - (InBook-num-in-chap) , chapter =","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:69ab1953f36b47423918e962af5dcb3e6bc53afd975cb827a3a9c6966f9846c5","observation_id":"a8df8d7f-5e23-4325-b186-473fb6e47dd2","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"E-commerce and cultural values (Inbook-text-in-chap) , chapter =","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:dde494286a5d08c0a6681690ebe7be3affa9d75b7eac6b4252c6bbbb09c300cd","observation_id":"f9038caa-7b38-4319-b848-1e29767c78f0","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"E-commerce and cultural values (Inbook-num chap) , chapter =","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:4152191e15fd48d6e559308fa2e87557a128eb5a2da93221a72fde4103ca6808","observation_id":"77962a5f-9977-4c04-8fff-ae359f392e95","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"Microelectron","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:7d82fe99e1da36cc8afcf1edd9a66e543f57cd323332d19ba8729f5be12bdf5a","observation_id":"048d04a7-a78c-455b-9d00-b7ffe8375e3d","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:a6a7d227bf56490c43e7e2946e399e4a417f4141afa56d7651a8e602bae34f8a","observation_id":"2cb5b599-9e34-4471-bd30-a93da0f04251","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:728891ad8e91fc4f1469e4d15cf44be89b9c24dd13213d77b10a0bca2084c6a3","observation_id":"ef463d58-b4ba-471f-a99f-659cdea4d992","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":null,"venue":null,"work_id":null,"year":1972},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:1794c07efc2f0b1145df5491dc124896cb1b3e46faa7ad31e9ca1e90d0b60dc7","observation_id":"7135ee60-92f3-47aa-a3ae-c46f7ade68e1","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"History of programming languages I (incoll) , editor =","venue":null,"work_id":null,"year":1981},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:a4ecc4cd3744687f1536558d0ed01010c5708184728b6fbc3c23125374a82e32","observation_id":"b9104ebb-87c3-4306-b3bf-4549935675cd","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":", title =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:392afa004ab96ce21344e6730ca2e3335b9ec22594d4467bb4f4435251466fce","observation_id":"96e8842a-e3eb-40c2-b1de-f534784f94e8","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":", title =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:cc92774d2ef3357cf74607f3f3b2261de9ff00640ce319acafa0b0266673fd48","observation_id":"c44c294b-948e-4bd3-b71c-8ffa7da40af1","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":", title =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:54cc896751d0b8e96a3716bdbd1be55f40a0edded4fb7ca827616e83ff3c3b1b","observation_id":"51cd0224-6d10-499b-8e20-cf0a16d71c4e","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"and Golden, Donald G","venue":null,"work_id":null,"year":1990},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:18696255888c783179f6f022ef5d76b204b81bd0eed033cbe033cb4bb15d2c31","observation_id":"655fa1bd-54e7-429a-abe0-db5aa49c5708","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"The analysis of linear partial differential operators","venue":null,"work_id":null,"year":1985},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:94d0fac2d804c74ed5c8e91e2bff69bcf9a7abe93621bbda07dbdc77fc23dfb6","observation_id":"9f690c72-ea24-49bc-94b0-a9aa421d8a1a","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"IEEE\", address =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:c42a89afc705b7b3f7dbcfffbfb604b09d5ebf8c90d2b87944106d1406e92033","observation_id":"9c97f2c0-c297-4df8-999b-a79630dfafcd","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:e1d413a34f9957732b251b19e6a63eab6abc3a265f5563a11869b43ad12c12f9","observation_id":"e00aeb14-dece-4cf4-b26d-0aaf39003284","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:e168a1642dbbe6970b6d267c3a61a372ddc115ab7e2a58aa63415baa37e50377","observation_id":"a8dd1d2d-671e-4a52-acbd-c76aa17e71f2","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"ACM\", address =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:558c680e370d88c8ce67fe1ecee9fa5edc2c00e14f4ea45d1a220ef501c83f19","observation_id":"eeb19bb9-9cf7-4ad5-93e0-4295cb3260d4","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"8 (Special Issue on Sensor Networks)","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:81a521e9f10be14d5bda967213255f2e6c8333e03823d65140c0d44e036f49ce","observation_id":"1d9d9fb0-1621-4d0b-b966-e35c9f48741d","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"Natarajan and M","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:cec17ba290e33f1c4be93dfaf1f9e7e197733704b9d7531d2c8ae15595f4b190","observation_id":"1d50823c-cf76-43a2-b030-11b0001e309b","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"Tzamaloukas and J","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:cf9905442649293f18894f47b884433887af6d2ae8da8e0a4a65bffbfdba275d","observation_id":"a8010967-198d-4a24-9790-cd165761c6b5","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"Zhou and J","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:df09af00105e200c2d0ddc3e0931e3e7af03f23fe79ad6add6fbefeb8012819b","observation_id":"eac84fb9-d884-47be-990c-89854b903346","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"Mapping Powerlists onto Hypercubes","venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:72c37e9dc2569e0b1af562aa4aef408c1d1e4285512012b85cab37b826cab544","observation_id":"b849a882-73c9-4691-9c8a-05de19ed488d","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"Automatic Parallelization for Distributed-Memory Multiprocessing Systems","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:f28a3ab4ede09cfe200d78597b1c7793c7099bec955c002039c68aa7e85f3de5","observation_id":"757397c5-2147-414b-ba61-2dd93a04fed3","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:82006b9d2b209460084b1082b54c12d90bf09a2cdc09a188f331a89a3d027fe7","observation_id":"500fc4da-580f-43f7-84dd-4dfc2577ee42","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:85bea1182a6e72f9f0eee8869782d4dde3a0c8f183bb842e4e34d0cacb4e0abc","observation_id":"91d901b0-a801-4339-9c5d-1a08097b9c1e","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"Heering and P","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:18458d2f9232223f86d3d4fa3961fa4df2efeded592d141b9381f74733cfda4b","observation_id":"983ad160-5436-4317-afc2-afa67c66991b","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:10edd4bee62f8283449806af52e921daca483f32de873a1f99241a58335e771f","observation_id":"505b4828-461f-4878-b977-b039d21c5eef","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"Korach and D","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:1d9dadc381d4f3d2a4eeb89efab189073296d7f21396da9d13579e154f0ad868","observation_id":"537bdbcd-c199-4634-862d-0bc2e2f04f42","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":": A Document Preparation System","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:147249cf214d386477402ebabd8b82b0b65f2e562273ddcaa7cf772bccf4e1b8","observation_id":"68d9d88a-0590-4ce9-b22e-39a1347835db","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:1c5cf0e3365740c194989a93615b91ef93eac3ae0ce527866ebf58dda527ef44","observation_id":"a2e5ee7e-a6a8-4e71-b31d-b3f94ac76987","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:c482838fa42405a55203674d475f51ae698285b5da19452bc9cd97d442aee416","observation_id":"a5a61916-a92e-4b04-b3fb-6dfde164aed4","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"and Abdelzaher, Tarek F","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":89,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:92698b95b6389abf5fd008257115c0990ec47e7d8b8046da5a1a0fd91cdebdf8","observation_id":"2223e04c-6a5f-43c8-b197-5a6cf4566e1e","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:f5d6aa0ae75eeb70c80076e3e144031c615df41842c748a3d6190f5d2ca4d63f","observation_id":"b6991a7d-0c8b-4ee0-87ad-cca52110e73a","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:185aa2d46cb813a72e3a4cbff4e499eff03313565a6ed03efefc3d4af2f67cbe","observation_id":"3e9f4d44-eb6f-44ba-963b-56c6f6bed974","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","resolver_source":null,"status":"parse_uncertain"},"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":"2026-07-12T17:41:08.458807Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:67a1dd9f2669d12ec95826e3ae2feaab78d2280f4ddc6331b52cf0ad0c8946b6","observation_id":"ab3fe56f-273f-44c3-b968-e5d1184db276","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"and Peterson, Larry L","venue":null,"work_id":null,"year":1993},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:3382092ca0ef84889ed4fd263031db0a1b4aad93bff0779c34b9f7d3b90ce4e9","observation_id":"c495cb81-c8f4-4dad-bad7-ab2ad0121a7a","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"TUGboat , volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:5afca8c0627e358f39eb2127132da2eb7e89000d83d5d813520820527d8847db","observation_id":"269a2de8-cbd1-47d4-ace2-d07893b99a59","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"Post Congress Tristesse","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:fe6c39425a984a03a73a6eab1093b8362fab50deb4bb01bdd300bd944fe96ad4","observation_id":"b63b758c-da98-42f0-805c-973a1bfc1e77","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"ACM Trans","venue":null,"work_id":null,"year":1993},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:4f7af995a66477481d543feca1fff13313bb58724679df6ec25a33533c458659","observation_id":"6b68e2e4-c7d3-4142-9f40-edb868b4472e","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"Salas and Einar Hille","venue":null,"work_id":null,"year":1978},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":97,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:09b442d916dda4d2a2bab0aea637ee36e4c436b1054ede65722e8b8e17b737e7","observation_id":"4e012089-9dbd-4249-9fd8-c73382c4fab9","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"Publication quality tables in","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":98,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:7678ad8f2d2aa6d635d5e7445b127da061a7f9e4ea3f18965e29eec2126ae7a5","observation_id":"79e97030-6318-4aac-9f6c-203634000b47","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":99,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:3809d28a02af07015ae72efaaad579146a15fe6d6e18f8dec219489a9dcc9cf7","observation_id":"16a0e551-f476-4553-9cf4-7e870d834437","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"2019 , url =","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":100,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:f5de737595844e550b710b861928e4d075a77c6aebc4849308106f16e9d646b6","observation_id":"4ca4a751-97e4-4893-b7d9-9004eb7f60b2","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":101,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:22d8de5e7d8f5e1f72041774e34425c88a206de13bf0249c2bd8f3cb381776c3","observation_id":"5d5f91d1-b823-4421-b173-4d636d558e4f","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"Brad and Haunschild, Robin , title =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":102,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:935b4c5a2f62c7da1ac599e442bdb21bf81c82fa8edaf583e24d28a6aa875584","observation_id":"b3b2f277-2d3b-42a0-8d7a-e94169e0bd53","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1403.1349","last_updated":"2014-10-17T13:27:02Z","snapshot_observed_at":"2026-08-10T10:52:10.630732Z","submitted_at":"2014-03-06T05:24:02Z","title":"Learning Soft Linear Constraints with Application to Citation Field Extraction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1403.1349","snapshot_observed_at":"2026-07-12T17:41:08.458807Z","title":"2014 , archivePrefix =","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":103,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"cited_paper":"/paper/1403.1349","citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:303275c50844e9eadfed0025ea2bf84003ae226a76a6071a7954642116c5c03b","observation_id":"cefec083-afc7-47a1-855d-707bfc9c6fec","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","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":"2026-07-12T17:41:08.458807Z","title":"Proceedings of the 20th International Colloquium on Automata, Languages and Programming , series =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators","version":1},"reference_index":104,"source":"arxiv_source","source_observed_at":"2026-07-12T17:41:08.458807Z"},"links":{"citing_paper":"/paper/2607.05400"},"observation_digest":"sha256:1ef18e54d6d51754622e6ce4a6b346a2899969de4d51e7ab30f444c93bc86f5d","observation_id":"ffcb33c1-fc6d-48d0-8e60-75a8c4841304","resolution":{"observed_at":"2026-07-12T17:41:08.458807Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.05400","last_updated":"2026-05-05T07:42:25Z","latest_version":1,"primary_category":"cs.PF","snapshot_observed_at":"2026-08-01T14:16:39.991901Z","submitted_at":"2026-05-05T07:42:25Z","title":"Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":2,"unresolved":96,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":102},"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 100 of 102 outbound references and 0 inbound Pith citation observations for arXiv:2607.05400."}