{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:YUADXQALIYQXQYEPAPZT6GAJFX","short_pith_number":"pith:YUADXQAL","canonical_record":{"source":{"id":"1704.00471","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2017-04-03T08:38:47Z","cross_cats_sorted":[],"title_canon_sha256":"31fcbb0b37d06ea5c4f7ac3b488f4522269f170e1f3897457f2ee1a345223c93","abstract_canon_sha256":"de0647a27e2fbd40aedafa36d525b0eb61a6965bde0525a8870a9c59f9b2dfe9"},"schema_version":"1.0"},"canonical_sha256":"c5003bc00b462178608f03f33f18092dc22f3adb841cbf1a5d025f8c411e5479","source":{"kind":"arxiv","id":"1704.00471","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.00471","created_at":"2026-05-18T00:38:55Z"},{"alias_kind":"arxiv_version","alias_value":"1704.00471v2","created_at":"2026-05-18T00:38:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.00471","created_at":"2026-05-18T00:38:55Z"},{"alias_kind":"pith_short_12","alias_value":"YUADXQALIYQX","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"YUADXQALIYQXQYEP","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"YUADXQAL","created_at":"2026-05-18T12:31:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:YUADXQALIYQXQYEPAPZT6GAJFX","target":"record","payload":{"canonical_record":{"source":{"id":"1704.00471","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2017-04-03T08:38:47Z","cross_cats_sorted":[],"title_canon_sha256":"31fcbb0b37d06ea5c4f7ac3b488f4522269f170e1f3897457f2ee1a345223c93","abstract_canon_sha256":"de0647a27e2fbd40aedafa36d525b0eb61a6965bde0525a8870a9c59f9b2dfe9"},"schema_version":"1.0"},"canonical_sha256":"c5003bc00b462178608f03f33f18092dc22f3adb841cbf1a5d025f8c411e5479","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:38:55.960535Z","signature_b64":"6BbYPQhECQnjC7OK2iIuZxYC52KCgtr//+tqZgiIhywgWRlSum/aExL2EtyT8APfZTcnIV9c7OGc/XhuODFtBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c5003bc00b462178608f03f33f18092dc22f3adb841cbf1a5d025f8c411e5479","last_reissued_at":"2026-05-18T00:38:55.959925Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:38:55.959925Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1704.00471","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:38:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4Q1zWrcfg82f3XRzQLIUFdRARxvBZynfEsSidfSe9jM+wFpe/KXtSYNpqZOt2j/5Os6QZabD/jZOmhnJsqwjBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:59:26.338799Z"},"content_sha256":"579b8e920b33a411a2ec612aa8c8a7e46e44e976591514cbc9dcd11ed974425d","schema_version":"1.0","event_id":"sha256:579b8e920b33a411a2ec612aa8c8a7e46e44e976591514cbc9dcd11ed974425d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:YUADXQALIYQXQYEPAPZT6GAJFX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Modeling NNLO jet corrections with neural networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"hep-ph","authors_text":"Stefano Carrazza","submitted_at":"2017-04-03T08:38:47Z","abstract_excerpt":"We present a preliminary strategy for modeling multidimensional distributions through neural networks. We study the efficiency of the proposed strategy by considering as input data the two-dimensional next-to-next leading order (NNLO) jet k-factors distribution for the ATLAS 7 TeV 2011 data. We then validate the neural network model in terms of interpolation and prediction quality by comparing its results to alternative models."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.00471","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:38:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YZ5qxnwC4hyFf6rawJ/Xe80aAe3NHWsWWyi/PUB5nLTV7gfbEJ/6ikJjrXd1TiX25+qxfjdQKsfTGsOG/kbFCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:59:26.339255Z"},"content_sha256":"23337c8d0a4df80eb0416e09ee9d0a37deae6dbed022dc3391ce08e614e5605d","schema_version":"1.0","event_id":"sha256:23337c8d0a4df80eb0416e09ee9d0a37deae6dbed022dc3391ce08e614e5605d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YUADXQALIYQXQYEPAPZT6GAJFX/bundle.json","state_url":"https://pith.science/pith/YUADXQALIYQXQYEPAPZT6GAJFX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YUADXQALIYQXQYEPAPZT6GAJFX/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-03T16:59:26Z","links":{"resolver":"https://pith.science/pith/YUADXQALIYQXQYEPAPZT6GAJFX","bundle":"https://pith.science/pith/YUADXQALIYQXQYEPAPZT6GAJFX/bundle.json","state":"https://pith.science/pith/YUADXQALIYQXQYEPAPZT6GAJFX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YUADXQALIYQXQYEPAPZT6GAJFX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:YUADXQALIYQXQYEPAPZT6GAJFX","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"de0647a27e2fbd40aedafa36d525b0eb61a6965bde0525a8870a9c59f9b2dfe9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2017-04-03T08:38:47Z","title_canon_sha256":"31fcbb0b37d06ea5c4f7ac3b488f4522269f170e1f3897457f2ee1a345223c93"},"schema_version":"1.0","source":{"id":"1704.00471","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.00471","created_at":"2026-05-18T00:38:55Z"},{"alias_kind":"arxiv_version","alias_value":"1704.00471v2","created_at":"2026-05-18T00:38:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.00471","created_at":"2026-05-18T00:38:55Z"},{"alias_kind":"pith_short_12","alias_value":"YUADXQALIYQX","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"YUADXQALIYQXQYEP","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"YUADXQAL","created_at":"2026-05-18T12:31:56Z"}],"graph_snapshots":[{"event_id":"sha256:23337c8d0a4df80eb0416e09ee9d0a37deae6dbed022dc3391ce08e614e5605d","target":"graph","created_at":"2026-05-18T00:38:55Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"We present a preliminary strategy for modeling multidimensional distributions through neural networks. We study the efficiency of the proposed strategy by considering as input data the two-dimensional next-to-next leading order (NNLO) jet k-factors distribution for the ATLAS 7 TeV 2011 data. We then validate the neural network model in terms of interpolation and prediction quality by comparing its results to alternative models.","authors_text":"Stefano Carrazza","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2017-04-03T08:38:47Z","title":"Modeling NNLO jet corrections with neural networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.00471","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:579b8e920b33a411a2ec612aa8c8a7e46e44e976591514cbc9dcd11ed974425d","target":"record","created_at":"2026-05-18T00:38:55Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"de0647a27e2fbd40aedafa36d525b0eb61a6965bde0525a8870a9c59f9b2dfe9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2017-04-03T08:38:47Z","title_canon_sha256":"31fcbb0b37d06ea5c4f7ac3b488f4522269f170e1f3897457f2ee1a345223c93"},"schema_version":"1.0","source":{"id":"1704.00471","kind":"arxiv","version":2}},"canonical_sha256":"c5003bc00b462178608f03f33f18092dc22f3adb841cbf1a5d025f8c411e5479","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c5003bc00b462178608f03f33f18092dc22f3adb841cbf1a5d025f8c411e5479","first_computed_at":"2026-05-18T00:38:55.959925Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:38:55.959925Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6BbYPQhECQnjC7OK2iIuZxYC52KCgtr//+tqZgiIhywgWRlSum/aExL2EtyT8APfZTcnIV9c7OGc/XhuODFtBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:38:55.960535Z","signed_message":"canonical_sha256_bytes"},"source_id":"1704.00471","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:579b8e920b33a411a2ec612aa8c8a7e46e44e976591514cbc9dcd11ed974425d","sha256:23337c8d0a4df80eb0416e09ee9d0a37deae6dbed022dc3391ce08e614e5605d"],"state_sha256":"515bf629302354cbcc2f2ae19cb581e2f63e6d4c953918971ee17dc6a037166b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gqxb+8uZ3lBBtw7/A7b0+r1XgR7XSCxMvNdWqSi9SovgVYaqvyD3HMGDoabpAPDwL7PYMfOvzAkqooBwPCa1Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T16:59:26.344642Z","bundle_sha256":"cc7547e84eb7cddb39a2c1aca4e3de3bb2c5a50ecebd8754712fb56207a6b991"}}