{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:QOCFDN6BIFEOSO4KIQXK7QI4FK","short_pith_number":"pith:QOCFDN6B","schema_version":"1.0","canonical_sha256":"838451b7c14148e93b8a442eafc11c2a900497c05b9f8b6ad4639009328da7bc","source":{"kind":"arxiv","id":"2512.04153","version":2},"attestation_state":"computed","paper":{"title":"Data-Driven Predictions for Dark Photon and Millicharged Particle Production","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ex"],"primary_cat":"hep-ph","authors_text":"Elizabeth Allison, Nikita Blinov","submitted_at":"2025-12-03T19:00:00Z","abstract_excerpt":"Accurate signal predictions are essential for interpreting and optimizing fixed-target searches for new physics. Even in minimal models such as the dark photon ($A'$) or millicharged particles (mCPs), theoretical uncertainties in hadronic production can be substantial. We introduce a data-driven framework that predicts both the rate and kinematic distributions of $A'$ and mCP production directly from measured dilepton events, without relying on specific theoretical production models. This method uses the close correspondence between amplitudes for emission of $A'$ or mCPs, and for off-shell St"},"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":"2512.04153","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2025-12-03T19:00:00Z","cross_cats_sorted":["hep-ex"],"title_canon_sha256":"0e7bd266efc95281de48a3b9930d91751286b46a50bb3cbe80b3239bca984121","abstract_canon_sha256":"f2790a4e7e0c63689bb51345a61f7625fdbcb1100c43a04e33149999070b2e6a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-21T02:04:55.471868Z","signature_b64":"ig2JSMrO/DZU2vgblQqJZ8xe8E3qV2ZRxMBpGoZssmR+QdByB8JfZQQqwZJz2sky0q04zuvVqAiUuAMch2dFAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"838451b7c14148e93b8a442eafc11c2a900497c05b9f8b6ad4639009328da7bc","last_reissued_at":"2026-05-21T02:04:55.470884Z","signature_status":"signed_v1","first_computed_at":"2026-05-21T02:04:55.470884Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Data-Driven Predictions for Dark Photon and Millicharged Particle Production","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ex"],"primary_cat":"hep-ph","authors_text":"Elizabeth Allison, Nikita Blinov","submitted_at":"2025-12-03T19:00:00Z","abstract_excerpt":"Accurate signal predictions are essential for interpreting and optimizing fixed-target searches for new physics. Even in minimal models such as the dark photon ($A'$) or millicharged particles (mCPs), theoretical uncertainties in hadronic production can be substantial. We introduce a data-driven framework that predicts both the rate and kinematic distributions of $A'$ and mCP production directly from measured dilepton events, without relying on specific theoretical production models. This method uses the close correspondence between amplitudes for emission of $A'$ or mCPs, and for off-shell St"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2512.04153","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/2512.04153/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":"2512.04153","created_at":"2026-05-21T02:04:55.471026+00:00"},{"alias_kind":"arxiv_version","alias_value":"2512.04153v2","created_at":"2026-05-21T02:04:55.471026+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2512.04153","created_at":"2026-05-21T02:04:55.471026+00:00"},{"alias_kind":"pith_short_12","alias_value":"QOCFDN6BIFEO","created_at":"2026-05-21T02:04:55.471026+00:00"},{"alias_kind":"pith_short_16","alias_value":"QOCFDN6BIFEOSO4K","created_at":"2026-05-21T02:04:55.471026+00:00"},{"alias_kind":"pith_short_8","alias_value":"QOCFDN6B","created_at":"2026-05-21T02:04:55.471026+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2604.13818","citing_title":"A new approach to dark photon","ref_index":40,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/QOCFDN6BIFEOSO4KIQXK7QI4FK","json":"https://pith.science/pith/QOCFDN6BIFEOSO4KIQXK7QI4FK.json","graph_json":"https://pith.science/api/pith-number/QOCFDN6BIFEOSO4KIQXK7QI4FK/graph.json","events_json":"https://pith.science/api/pith-number/QOCFDN6BIFEOSO4KIQXK7QI4FK/events.json","paper":"https://pith.science/paper/QOCFDN6B"},"agent_actions":{"view_html":"https://pith.science/pith/QOCFDN6BIFEOSO4KIQXK7QI4FK","download_json":"https://pith.science/pith/QOCFDN6BIFEOSO4KIQXK7QI4FK.json","view_paper":"https://pith.science/paper/QOCFDN6B","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2512.04153&json=true","fetch_graph":"https://pith.science/api/pith-number/QOCFDN6BIFEOSO4KIQXK7QI4FK/graph.json","fetch_events":"https://pith.science/api/pith-number/QOCFDN6BIFEOSO4KIQXK7QI4FK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QOCFDN6BIFEOSO4KIQXK7QI4FK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QOCFDN6BIFEOSO4KIQXK7QI4FK/action/storage_attestation","attest_author":"https://pith.science/pith/QOCFDN6BIFEOSO4KIQXK7QI4FK/action/author_attestation","sign_citation":"https://pith.science/pith/QOCFDN6BIFEOSO4KIQXK7QI4FK/action/citation_signature","submit_replication":"https://pith.science/pith/QOCFDN6BIFEOSO4KIQXK7QI4FK/action/replication_record"}},"created_at":"2026-05-21T02:04:55.471026+00:00","updated_at":"2026-05-21T02:04:55.471026+00:00"}