{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:KGMGNFQVROGY5Q2NUT54BBSWVB","short_pith_number":"pith:KGMGNFQV","canonical_record":{"source":{"id":"2311.09296","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ph","submitted_at":"2023-11-15T19:00:04Z","cross_cats_sorted":["hep-ex"],"title_canon_sha256":"61ac58e1e955986f520bce65d645f1f7e426fa6bc4c4e7a179f1aa5f162691e2","abstract_canon_sha256":"ab03c2b13253a213a7af590785e560240eb05dda5d805be317e3366377188791"},"schema_version":"1.0"},"canonical_sha256":"51986696158b8d8ec34da4fbc08656a87ecc9e7cfe1cda0ed641c716eaf9c694","source":{"kind":"arxiv","id":"2311.09296","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.09296","created_at":"2026-07-05T08:54:45Z"},{"alias_kind":"arxiv_version","alias_value":"2311.09296v2","created_at":"2026-07-05T08:54:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.09296","created_at":"2026-07-05T08:54:45Z"},{"alias_kind":"pith_short_12","alias_value":"KGMGNFQVROGY","created_at":"2026-07-05T08:54:45Z"},{"alias_kind":"pith_short_16","alias_value":"KGMGNFQVROGY5Q2N","created_at":"2026-07-05T08:54:45Z"},{"alias_kind":"pith_short_8","alias_value":"KGMGNFQV","created_at":"2026-07-05T08:54:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:KGMGNFQVROGY5Q2NUT54BBSWVB","target":"record","payload":{"canonical_record":{"source":{"id":"2311.09296","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ph","submitted_at":"2023-11-15T19:00:04Z","cross_cats_sorted":["hep-ex"],"title_canon_sha256":"61ac58e1e955986f520bce65d645f1f7e426fa6bc4c4e7a179f1aa5f162691e2","abstract_canon_sha256":"ab03c2b13253a213a7af590785e560240eb05dda5d805be317e3366377188791"},"schema_version":"1.0"},"canonical_sha256":"51986696158b8d8ec34da4fbc08656a87ecc9e7cfe1cda0ed641c716eaf9c694","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:54:45.085587Z","signature_b64":"Ogo97cAiD9zZOAJ+EFQPCUX00uIeJRxBE7TdfXQhDtsYQP1xwl48sDJOdqOpQ3RNcGnRJcHEFjvNChnwduyxDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"51986696158b8d8ec34da4fbc08656a87ecc9e7cfe1cda0ed641c716eaf9c694","last_reissued_at":"2026-07-05T08:54:45.085153Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:54:45.085153Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.09296","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":"2026-07-05T08:54:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GGF+VxNGzZVKyC0IMGnyITLb03C056C53b3aSsyn6W1336V1tDV+s/nKFJbxEQ+fWsUv6bGUSdGLq0SwTsFlDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T09:01:47.018873Z"},"content_sha256":"3455208b1802d640d02775d81a2e41564b89a400e64f3b9447f548c87ac00335","schema_version":"1.0","event_id":"sha256:3455208b1802d640d02775d81a2e41564b89a400e64f3b9447f548c87ac00335"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:KGMGNFQVROGY5Q2NUT54BBSWVB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards a data-driven model of hadronization using normalizing flows","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["hep-ex"],"primary_cat":"hep-ph","authors_text":"Ahmed Youssef, Christian Bierlich, Jure Zupan, Manuel Szewc, Michael K. Wilkinson, Phil Ilten, Stephen Mrenna, Tony Menzo","submitted_at":"2023-11-15T19:00:04Z","abstract_excerpt":"We introduce a model of hadronization based on invertible neural networks that faithfully reproduces a simplified version of the Lund string model for meson hadronization. Additionally, we introduce a new training method for normalizing flows, termed MAGIC, that improves the agreement between simulated and experimental distributions of high-level (macroscopic) observables by adjusting single-emission (microscopic) dynamics. Our results constitute an important step toward realizing a machine-learning based model of hadronization that utilizes experimental data during training. Finally, we demon"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.09296","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/2311.09296/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:54:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6NYYIIqmry0QkVKWI1GfLDp/2MuZQQTN8U0M1NucAp0jawTGLTt3JDhJ+IRi8Ysa2gitr6E0jONDFS5UtE6CCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T09:01:47.019247Z"},"content_sha256":"74ffc53afd55f72005fe0b7b46f3b510f81f5a28eba7deb18c8f6f62f9fb5128","schema_version":"1.0","event_id":"sha256:74ffc53afd55f72005fe0b7b46f3b510f81f5a28eba7deb18c8f6f62f9fb5128"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KGMGNFQVROGY5Q2NUT54BBSWVB/bundle.json","state_url":"https://pith.science/pith/KGMGNFQVROGY5Q2NUT54BBSWVB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KGMGNFQVROGY5Q2NUT54BBSWVB/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":"2026-07-13T09:01:47Z","links":{"resolver":"https://pith.science/pith/KGMGNFQVROGY5Q2NUT54BBSWVB","bundle":"https://pith.science/pith/KGMGNFQVROGY5Q2NUT54BBSWVB/bundle.json","state":"https://pith.science/pith/KGMGNFQVROGY5Q2NUT54BBSWVB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KGMGNFQVROGY5Q2NUT54BBSWVB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:KGMGNFQVROGY5Q2NUT54BBSWVB","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":"ab03c2b13253a213a7af590785e560240eb05dda5d805be317e3366377188791","cross_cats_sorted":["hep-ex"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ph","submitted_at":"2023-11-15T19:00:04Z","title_canon_sha256":"61ac58e1e955986f520bce65d645f1f7e426fa6bc4c4e7a179f1aa5f162691e2"},"schema_version":"1.0","source":{"id":"2311.09296","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.09296","created_at":"2026-07-05T08:54:45Z"},{"alias_kind":"arxiv_version","alias_value":"2311.09296v2","created_at":"2026-07-05T08:54:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.09296","created_at":"2026-07-05T08:54:45Z"},{"alias_kind":"pith_short_12","alias_value":"KGMGNFQVROGY","created_at":"2026-07-05T08:54:45Z"},{"alias_kind":"pith_short_16","alias_value":"KGMGNFQVROGY5Q2N","created_at":"2026-07-05T08:54:45Z"},{"alias_kind":"pith_short_8","alias_value":"KGMGNFQV","created_at":"2026-07-05T08:54:45Z"}],"graph_snapshots":[{"event_id":"sha256:74ffc53afd55f72005fe0b7b46f3b510f81f5a28eba7deb18c8f6f62f9fb5128","target":"graph","created_at":"2026-07-05T08:54:45Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2311.09296/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce a model of hadronization based on invertible neural networks that faithfully reproduces a simplified version of the Lund string model for meson hadronization. Additionally, we introduce a new training method for normalizing flows, termed MAGIC, that improves the agreement between simulated and experimental distributions of high-level (macroscopic) observables by adjusting single-emission (microscopic) dynamics. Our results constitute an important step toward realizing a machine-learning based model of hadronization that utilizes experimental data during training. Finally, we demon","authors_text":"Ahmed Youssef, Christian Bierlich, Jure Zupan, Manuel Szewc, Michael K. Wilkinson, Phil Ilten, Stephen Mrenna, Tony Menzo","cross_cats":["hep-ex"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ph","submitted_at":"2023-11-15T19:00:04Z","title":"Towards a data-driven model of hadronization using normalizing flows"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.09296","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":"sha256:3455208b1802d640d02775d81a2e41564b89a400e64f3b9447f548c87ac00335","target":"record","created_at":"2026-07-05T08:54:45Z","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":"ab03c2b13253a213a7af590785e560240eb05dda5d805be317e3366377188791","cross_cats_sorted":["hep-ex"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ph","submitted_at":"2023-11-15T19:00:04Z","title_canon_sha256":"61ac58e1e955986f520bce65d645f1f7e426fa6bc4c4e7a179f1aa5f162691e2"},"schema_version":"1.0","source":{"id":"2311.09296","kind":"arxiv","version":2}},"canonical_sha256":"51986696158b8d8ec34da4fbc08656a87ecc9e7cfe1cda0ed641c716eaf9c694","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"51986696158b8d8ec34da4fbc08656a87ecc9e7cfe1cda0ed641c716eaf9c694","first_computed_at":"2026-07-05T08:54:45.085153Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:54:45.085153Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ogo97cAiD9zZOAJ+EFQPCUX00uIeJRxBE7TdfXQhDtsYQP1xwl48sDJOdqOpQ3RNcGnRJcHEFjvNChnwduyxDA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:54:45.085587Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.09296","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3455208b1802d640d02775d81a2e41564b89a400e64f3b9447f548c87ac00335","sha256:74ffc53afd55f72005fe0b7b46f3b510f81f5a28eba7deb18c8f6f62f9fb5128"],"state_sha256":"37cc310f7f77eb8142d34f3cff93d5079efc7ba0c89557f8fba473ff4d1ffe21"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q7bpBDaDa6ALy5t7JLdGgltMRXhnqI3GEWPxwLXh2+iqZ/g6P/B9/WllxkfTp2VEKIxkaK5oG5m/8Vko3LY7Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-13T09:01:47.021361Z","bundle_sha256":"e75b101f4da7a3765d0087b6acf8485bff6ba6bc67cecfdb07a161cd36c80942"}}