{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2012:E7K2G6BY72WSRROKICBLGLRDXD","short_pith_number":"pith:E7K2G6BY","schema_version":"1.0","canonical_sha256":"27d5a37838fead28c5ca4082b32e23b8d9324e29c9ec4ba70ed6f1f094233362","source":{"kind":"arxiv","id":"1201.6180","version":2},"attestation_state":"computed","paper":{"title":"Effect of changes of variable flavor number scheme on parton distribution functions and predicted cross sections","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"hep-ph","authors_text":"R. S. Thorne","submitted_at":"2012-01-30T11:37:41Z","abstract_excerpt":"I consider variations in the definitions, at next-to-leading order (NLO) and at next-to-next-to leading order (NNLO), of a General-Mass Variable Flavour Number Scheme (GM-VFNS) for heavy flavour structure functions. I also define a new \"optimal\" scheme choice improving the smoothness of the transition from one flavour number to the next. I investigate the variation of the structure function for a fixed set of parton distribution functions (PDFs) and also the change in the PDFs when a new MSTW2008-type global fit to data is performed for each GM-VFNS. At NLO the parton distributions, and predic"},"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":"1201.6180","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2012-01-30T11:37:41Z","cross_cats_sorted":[],"title_canon_sha256":"4adf263e9a6a95a7dc6669918122bb67457060600f4fb2191f372a56bfef1cdb","abstract_canon_sha256":"caf5e9774deed99efca748d45a1b44846da234aaeac663748cf73c382efb29b8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:41:12.576225Z","signature_b64":"j0Ia7Ky3N2Ccrs69T/ezsGpPlOheR505p2gd6OeIhkwBo4PW5yAeaWbp4x+DFZ0K9I2umyV+tr4BqPzdhyNZCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"27d5a37838fead28c5ca4082b32e23b8d9324e29c9ec4ba70ed6f1f094233362","last_reissued_at":"2026-05-18T03:41:12.575483Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:41:12.575483Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Effect of changes of variable flavor number scheme on parton distribution functions and predicted cross sections","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"hep-ph","authors_text":"R. S. Thorne","submitted_at":"2012-01-30T11:37:41Z","abstract_excerpt":"I consider variations in the definitions, at next-to-leading order (NLO) and at next-to-next-to leading order (NNLO), of a General-Mass Variable Flavour Number Scheme (GM-VFNS) for heavy flavour structure functions. I also define a new \"optimal\" scheme choice improving the smoothness of the transition from one flavour number to the next. I investigate the variation of the structure function for a fixed set of parton distribution functions (PDFs) and also the change in the PDFs when a new MSTW2008-type global fit to data is performed for each GM-VFNS. At NLO the parton distributions, and predic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1201.6180","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":""},"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":"1201.6180","created_at":"2026-05-18T03:41:12.575594+00:00"},{"alias_kind":"arxiv_version","alias_value":"1201.6180v2","created_at":"2026-05-18T03:41:12.575594+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1201.6180","created_at":"2026-05-18T03:41:12.575594+00:00"},{"alias_kind":"pith_short_12","alias_value":"E7K2G6BY72WS","created_at":"2026-05-18T12:27:04.183437+00:00"},{"alias_kind":"pith_short_16","alias_value":"E7K2G6BY72WSRROK","created_at":"2026-05-18T12:27:04.183437+00:00"},{"alias_kind":"pith_short_8","alias_value":"E7K2G6BY","created_at":"2026-05-18T12:27:04.183437+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2501.10359","citing_title":"Parton distributions confront LHC Run II data: a quantitative appraisal","ref_index":118,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/E7K2G6BY72WSRROKICBLGLRDXD","json":"https://pith.science/pith/E7K2G6BY72WSRROKICBLGLRDXD.json","graph_json":"https://pith.science/api/pith-number/E7K2G6BY72WSRROKICBLGLRDXD/graph.json","events_json":"https://pith.science/api/pith-number/E7K2G6BY72WSRROKICBLGLRDXD/events.json","paper":"https://pith.science/paper/E7K2G6BY"},"agent_actions":{"view_html":"https://pith.science/pith/E7K2G6BY72WSRROKICBLGLRDXD","download_json":"https://pith.science/pith/E7K2G6BY72WSRROKICBLGLRDXD.json","view_paper":"https://pith.science/paper/E7K2G6BY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1201.6180&json=true","fetch_graph":"https://pith.science/api/pith-number/E7K2G6BY72WSRROKICBLGLRDXD/graph.json","fetch_events":"https://pith.science/api/pith-number/E7K2G6BY72WSRROKICBLGLRDXD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/E7K2G6BY72WSRROKICBLGLRDXD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/E7K2G6BY72WSRROKICBLGLRDXD/action/storage_attestation","attest_author":"https://pith.science/pith/E7K2G6BY72WSRROKICBLGLRDXD/action/author_attestation","sign_citation":"https://pith.science/pith/E7K2G6BY72WSRROKICBLGLRDXD/action/citation_signature","submit_replication":"https://pith.science/pith/E7K2G6BY72WSRROKICBLGLRDXD/action/replication_record"}},"created_at":"2026-05-18T03:41:12.575594+00:00","updated_at":"2026-05-18T03:41:12.575594+00:00"}