{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:LJA32QU7O2UGRYCR7ONS6UMDLJ","short_pith_number":"pith:LJA32QU7","schema_version":"1.0","canonical_sha256":"5a41bd429f76a868e051fb9b2f51835a42d01c786f41aa50d9acfa1ecbfa2fae","source":{"kind":"arxiv","id":"2312.11728","version":1},"attestation_state":"computed","paper":{"title":"Generalizing mkFit and its Application to HL-LHC","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.comp-ph"],"primary_cat":"hep-ex","authors_text":"Allison Reinsvold Hall, Avi Yagil (for the CMS Collaboration), Daniel Riley, Emmanouil Vourliotis, Giuseppe Cerati, Leonardo Giannini, Mario Masciovecchio, Matevz Tadel, Matti Kortelainen, Patrick Gartung, Peter Elmer, Peter Wittich, Steven Lantz, Tres Reid, Vyacheslav Krutelyov","submitted_at":"2023-12-18T22:06:45Z","abstract_excerpt":"mkFit is an implementation of the Kalman filter-based track reconstruction algorithm that exploits both thread- and data-level parallelism. In the past few years the project transitioned from the R&D phase to deployment in the Run-3 offline workflow of the CMS experiment. The CMS tracking performs a series of iterations, targeting reconstruction of tracks of increasing difficulty after removing hits associated to tracks found in previous iterations. mkFit has been adopted for several of the tracking iterations, which contribute to the majority of reconstructed tracks. When tested in the standa"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2312.11728","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ex","submitted_at":"2023-12-18T22:06:45Z","cross_cats_sorted":["physics.comp-ph"],"title_canon_sha256":"6b2d1f082b93c11a0bbe0854910db8d03a9e87a779859e20042f50e253ddae42","abstract_canon_sha256":"258d26b221d672392ab21feafbc2b799499589d583c0364de79780e9f424d085"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:25:53.501834Z","signature_b64":"2dDX7/rEUsvbnrH6titcgcxsNjnfkM9XKDg7/lXAB+h9wAHZKd72cPVgHAxkSKvSyL9sdW28Rm2VP47YkkcCBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5a41bd429f76a868e051fb9b2f51835a42d01c786f41aa50d9acfa1ecbfa2fae","last_reissued_at":"2026-07-05T07:25:53.501349Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:25:53.501349Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Generalizing mkFit and its Application to HL-LHC","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.comp-ph"],"primary_cat":"hep-ex","authors_text":"Allison Reinsvold Hall, Avi Yagil (for the CMS Collaboration), Daniel Riley, Emmanouil Vourliotis, Giuseppe Cerati, Leonardo Giannini, Mario Masciovecchio, Matevz Tadel, Matti Kortelainen, Patrick Gartung, Peter Elmer, Peter Wittich, Steven Lantz, Tres Reid, Vyacheslav Krutelyov","submitted_at":"2023-12-18T22:06:45Z","abstract_excerpt":"mkFit is an implementation of the Kalman filter-based track reconstruction algorithm that exploits both thread- and data-level parallelism. In the past few years the project transitioned from the R&D phase to deployment in the Run-3 offline workflow of the CMS experiment. The CMS tracking performs a series of iterations, targeting reconstruction of tracks of increasing difficulty after removing hits associated to tracks found in previous iterations. mkFit has been adopted for several of the tracking iterations, which contribute to the majority of reconstructed tracks. When tested in the standa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.11728","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2312.11728/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2312.11728","created_at":"2026-07-05T07:25:53.501409+00:00"},{"alias_kind":"arxiv_version","alias_value":"2312.11728v1","created_at":"2026-07-05T07:25:53.501409+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.11728","created_at":"2026-07-05T07:25:53.501409+00:00"},{"alias_kind":"pith_short_12","alias_value":"LJA32QU7O2UG","created_at":"2026-07-05T07:25:53.501409+00:00"},{"alias_kind":"pith_short_16","alias_value":"LJA32QU7O2UGRYCR","created_at":"2026-07-05T07:25:53.501409+00:00"},{"alias_kind":"pith_short_8","alias_value":"LJA32QU7","created_at":"2026-07-05T07:25:53.501409+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/LJA32QU7O2UGRYCR7ONS6UMDLJ","json":"https://pith.science/pith/LJA32QU7O2UGRYCR7ONS6UMDLJ.json","graph_json":"https://pith.science/api/pith-number/LJA32QU7O2UGRYCR7ONS6UMDLJ/graph.json","events_json":"https://pith.science/api/pith-number/LJA32QU7O2UGRYCR7ONS6UMDLJ/events.json","paper":"https://pith.science/paper/LJA32QU7"},"agent_actions":{"view_html":"https://pith.science/pith/LJA32QU7O2UGRYCR7ONS6UMDLJ","download_json":"https://pith.science/pith/LJA32QU7O2UGRYCR7ONS6UMDLJ.json","view_paper":"https://pith.science/paper/LJA32QU7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2312.11728&json=true","fetch_graph":"https://pith.science/api/pith-number/LJA32QU7O2UGRYCR7ONS6UMDLJ/graph.json","fetch_events":"https://pith.science/api/pith-number/LJA32QU7O2UGRYCR7ONS6UMDLJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LJA32QU7O2UGRYCR7ONS6UMDLJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LJA32QU7O2UGRYCR7ONS6UMDLJ/action/storage_attestation","attest_author":"https://pith.science/pith/LJA32QU7O2UGRYCR7ONS6UMDLJ/action/author_attestation","sign_citation":"https://pith.science/pith/LJA32QU7O2UGRYCR7ONS6UMDLJ/action/citation_signature","submit_replication":"https://pith.science/pith/LJA32QU7O2UGRYCR7ONS6UMDLJ/action/replication_record"}},"created_at":"2026-07-05T07:25:53.501409+00:00","updated_at":"2026-07-05T07:25:53.501409+00:00"}