{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:IS5RKR6XAOXNCSXSXS436OGJEE","short_pith_number":"pith:IS5RKR6X","schema_version":"1.0","canonical_sha256":"44bb1547d703aed14af2bcb9bf38c9210601cf714dbe60dd0ff96b4e06237e72","source":{"kind":"arxiv","id":"2107.02157","version":2},"attestation_state":"computed","paper":{"title":"LHC physics dataset for unsupervised New Physics detection at 40 MHz","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ex"],"primary_cat":"physics.data-an","authors_text":"Ekaterina Govorkova, Ema Puljak, Jennifer Ngadiuba, Kinga Anna Wo\\'zniak, Maurizio Pierini, Thea Aarrestad","submitted_at":"2021-07-05T17:40:27Z","abstract_excerpt":"In particle detectors at the Large Hadron Collider, tens of terabytes of data are produced every second from proton-proton collisions occurring at a rate of 40 megahertz. This data rate is reduced to a sustainable level by a real-time event filter processing system which decides whether each collision event should be kept for further analysis or be discarded. We introduce a dataset of proton collision events which emulates a typical data stream collected by such a real-time processing system, pre-filtered by requiring the presence of at least one electron or muon. This dataset could be used to"},"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":"2107.02157","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2021-07-05T17:40:27Z","cross_cats_sorted":["hep-ex"],"title_canon_sha256":"3ca76eb2f337cb8d5f81aa76edd21c717d74f1d8c6d8902141a14eb1c4d10acb","abstract_canon_sha256":"6bde44c1137691f3db3e35de190d00bafe14828c992cdc38b430e781dbea19f3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:57:25.648554Z","signature_b64":"uJBkeKg+xN6Di1JQA4knDjoHKil68s/bKUrmdKM6Lav74GDW4q1DOGchU/zz3GCdeL88JJMUHOmwUnppQnORBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"44bb1547d703aed14af2bcb9bf38c9210601cf714dbe60dd0ff96b4e06237e72","last_reissued_at":"2026-07-05T02:57:25.648062Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:57:25.648062Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"LHC physics dataset for unsupervised New Physics detection at 40 MHz","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ex"],"primary_cat":"physics.data-an","authors_text":"Ekaterina Govorkova, Ema Puljak, Jennifer Ngadiuba, Kinga Anna Wo\\'zniak, Maurizio Pierini, Thea Aarrestad","submitted_at":"2021-07-05T17:40:27Z","abstract_excerpt":"In particle detectors at the Large Hadron Collider, tens of terabytes of data are produced every second from proton-proton collisions occurring at a rate of 40 megahertz. This data rate is reduced to a sustainable level by a real-time event filter processing system which decides whether each collision event should be kept for further analysis or be discarded. We introduce a dataset of proton collision events which emulates a typical data stream collected by such a real-time processing system, pre-filtered by requiring the presence of at least one electron or muon. This dataset could be used to"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.02157","kind":"arxiv","version":2},"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/2107.02157/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":"2107.02157","created_at":"2026-07-05T02:57:25.648127+00:00"},{"alias_kind":"arxiv_version","alias_value":"2107.02157v2","created_at":"2026-07-05T02:57:25.648127+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.02157","created_at":"2026-07-05T02:57:25.648127+00:00"},{"alias_kind":"pith_short_12","alias_value":"IS5RKR6XAOXN","created_at":"2026-07-05T02:57:25.648127+00:00"},{"alias_kind":"pith_short_16","alias_value":"IS5RKR6XAOXNCSXS","created_at":"2026-07-05T02:57:25.648127+00:00"},{"alias_kind":"pith_short_8","alias_value":"IS5RKR6X","created_at":"2026-07-05T02:57:25.648127+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2607.01354","citing_title":"Local Conformal Predictions for Calibrated Surrogates","ref_index":234,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/IS5RKR6XAOXNCSXSXS436OGJEE","json":"https://pith.science/pith/IS5RKR6XAOXNCSXSXS436OGJEE.json","graph_json":"https://pith.science/api/pith-number/IS5RKR6XAOXNCSXSXS436OGJEE/graph.json","events_json":"https://pith.science/api/pith-number/IS5RKR6XAOXNCSXSXS436OGJEE/events.json","paper":"https://pith.science/paper/IS5RKR6X"},"agent_actions":{"view_html":"https://pith.science/pith/IS5RKR6XAOXNCSXSXS436OGJEE","download_json":"https://pith.science/pith/IS5RKR6XAOXNCSXSXS436OGJEE.json","view_paper":"https://pith.science/paper/IS5RKR6X","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2107.02157&json=true","fetch_graph":"https://pith.science/api/pith-number/IS5RKR6XAOXNCSXSXS436OGJEE/graph.json","fetch_events":"https://pith.science/api/pith-number/IS5RKR6XAOXNCSXSXS436OGJEE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IS5RKR6XAOXNCSXSXS436OGJEE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IS5RKR6XAOXNCSXSXS436OGJEE/action/storage_attestation","attest_author":"https://pith.science/pith/IS5RKR6XAOXNCSXSXS436OGJEE/action/author_attestation","sign_citation":"https://pith.science/pith/IS5RKR6XAOXNCSXSXS436OGJEE/action/citation_signature","submit_replication":"https://pith.science/pith/IS5RKR6XAOXNCSXSXS436OGJEE/action/replication_record"}},"created_at":"2026-07-05T02:57:25.648127+00:00","updated_at":"2026-07-05T02:57:25.648127+00:00"}