{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:XSH3HMHHQ7F7U6FE2E4H4NMO3N","short_pith_number":"pith:XSH3HMHH","canonical_record":{"source":{"id":"2507.23297","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2025-07-31T07:33:05Z","cross_cats_sorted":["cs.LG","hep-ex","hep-ph","physics.ins-det"],"title_canon_sha256":"05756c5e89e9b49ee3f7f953c3690ef13ec9cfb0531d7403777c467abcf52072","abstract_canon_sha256":"7541f14ca33d2abc100a5d1b64ec51ef93fb82abe9649d75b594cb01632c96e4"},"schema_version":"1.0"},"canonical_sha256":"bc8fb3b0e787cbfa78a4d1387e358edb44a148b72449554e3789bc4449ca1e8c","source":{"kind":"arxiv","id":"2507.23297","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.23297","created_at":"2026-07-05T11:46:09Z"},{"alias_kind":"arxiv_version","alias_value":"2507.23297v1","created_at":"2026-07-05T11:46:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.23297","created_at":"2026-07-05T11:46:09Z"},{"alias_kind":"pith_short_12","alias_value":"XSH3HMHHQ7F7","created_at":"2026-07-05T11:46:09Z"},{"alias_kind":"pith_short_16","alias_value":"XSH3HMHHQ7F7U6FE","created_at":"2026-07-05T11:46:09Z"},{"alias_kind":"pith_short_8","alias_value":"XSH3HMHH","created_at":"2026-07-05T11:46:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:XSH3HMHHQ7F7U6FE2E4H4NMO3N","target":"record","payload":{"canonical_record":{"source":{"id":"2507.23297","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2025-07-31T07:33:05Z","cross_cats_sorted":["cs.LG","hep-ex","hep-ph","physics.ins-det"],"title_canon_sha256":"05756c5e89e9b49ee3f7f953c3690ef13ec9cfb0531d7403777c467abcf52072","abstract_canon_sha256":"7541f14ca33d2abc100a5d1b64ec51ef93fb82abe9649d75b594cb01632c96e4"},"schema_version":"1.0"},"canonical_sha256":"bc8fb3b0e787cbfa78a4d1387e358edb44a148b72449554e3789bc4449ca1e8c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:46:09.323512Z","signature_b64":"9QAeAM35xxBochLrHcQC0EzeqO0QM6+BrCK7pAL4ZvtBy7q5CoIGinUWnIYJxouoKSxvhzOfhtcBW9T3xVzlAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bc8fb3b0e787cbfa78a4d1387e358edb44a148b72449554e3789bc4449ca1e8c","last_reissued_at":"2026-07-05T11:46:09.323057Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:46:09.323057Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.23297","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:46:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KizfxCjaWPhZ/WyJ7MROsuwzxiwFDwzA5Q2XLtvb0MPwcoqYldFRZzVB9ma3QLDvk4/GU/NEmsNXPBDIysOYBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:26:38.227949Z"},"content_sha256":"1bd0d7da405a94244359d9c34531cab72b3c8a6f39c02bf9aca2369b0d5d100a","schema_version":"1.0","event_id":"sha256:1bd0d7da405a94244359d9c34531cab72b3c8a6f39c02bf9aca2369b0d5d100a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:XSH3HMHHQ7F7U6FE2E4H4NMO3N","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Simulation-based inference for Precision Neutrino Physics through Neural Monte Carlo tuning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","hep-ex","hep-ph","physics.ins-det"],"primary_cat":"physics.data-an","authors_text":"A. Barresi, A. Bergnoli, A. Brigatti, A. Budano, A. Cammi, A.C. Re, A. Fabbri, A. Garfagnini, A. Gavrikov, A. Martini, A. Paoloni, A. Romani, A. Serafini, B. Caccianiga, B. Ricci, C. Clementi, C. Coletta, C. Landini, C. Sirignano, C. Tuv\\`e, C. Venettacci, D. Basilico, D. Chiesa, D. Dolzhikov, D. Orestano, E. Percalli, E. Previtali, E. Stanescu Farilla, F. Houria, F. Mantovani, F. Ortica, F. Petrucci, G. Andronico, G. Felici, G. Ferrante, G. Ranucci, G. Verde, I. Lippi, L. Lastrucci, L. Loi, L. Miramonti, L. Pelicci, L. Stanco, L. V. D'Auria, L. Votano, M. Beretta, M. Borghesi, M.D.C Torri, M.G. Giammarchi, M. Gonchar, M. Grassi, M. Montuschi, M. Nastasi, M. Sisti, N. Giudice, N. Guardone, P. Lombardi, R. Brugnera, R. Bruno, R. Caruso, R. M. Guizzetti, S. Dusini, S.M. Mari, V. Antonelli, V. Cerrone, V. Strati","submitted_at":"2025-07-31T07:33:05Z","abstract_excerpt":"Precise modeling of detector energy response is crucial for next-generation neutrino experiments which present computational challenges due to lack of analytical likelihoods. We propose a solution using neural likelihood estimation within the simulation-based inference framework. We develop two complementary neural density estimators that model likelihoods of calibration data: conditional normalizing flows and a transformer-based regressor. We adopt JUNO - a large neutrino experiment - as a case study. The energy response of JUNO depends on several parameters, all of which should be tuned, giv"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.23297","kind":"arxiv","version":1},"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/2507.23297/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":"2026-07-05T11:46:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DM4218DyU/HJ9QgYkv5GFuhcMBkbFPOjWerz3vf3CMRrjYnKveYNSPHExQQoL7Rn+KxuDcD/Ihst7Qp814qyCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:26:38.228521Z"},"content_sha256":"819656df5951f7ea58b1640b6a8f40c8af3e2d85208fdcd2463da4690190c0c6","schema_version":"1.0","event_id":"sha256:819656df5951f7ea58b1640b6a8f40c8af3e2d85208fdcd2463da4690190c0c6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XSH3HMHHQ7F7U6FE2E4H4NMO3N/bundle.json","state_url":"https://pith.science/pith/XSH3HMHHQ7F7U6FE2E4H4NMO3N/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XSH3HMHHQ7F7U6FE2E4H4NMO3N/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":"2026-08-03T16:26:38Z","links":{"resolver":"https://pith.science/pith/XSH3HMHHQ7F7U6FE2E4H4NMO3N","bundle":"https://pith.science/pith/XSH3HMHHQ7F7U6FE2E4H4NMO3N/bundle.json","state":"https://pith.science/pith/XSH3HMHHQ7F7U6FE2E4H4NMO3N/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XSH3HMHHQ7F7U6FE2E4H4NMO3N/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:XSH3HMHHQ7F7U6FE2E4H4NMO3N","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":"7541f14ca33d2abc100a5d1b64ec51ef93fb82abe9649d75b594cb01632c96e4","cross_cats_sorted":["cs.LG","hep-ex","hep-ph","physics.ins-det"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2025-07-31T07:33:05Z","title_canon_sha256":"05756c5e89e9b49ee3f7f953c3690ef13ec9cfb0531d7403777c467abcf52072"},"schema_version":"1.0","source":{"id":"2507.23297","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.23297","created_at":"2026-07-05T11:46:09Z"},{"alias_kind":"arxiv_version","alias_value":"2507.23297v1","created_at":"2026-07-05T11:46:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.23297","created_at":"2026-07-05T11:46:09Z"},{"alias_kind":"pith_short_12","alias_value":"XSH3HMHHQ7F7","created_at":"2026-07-05T11:46:09Z"},{"alias_kind":"pith_short_16","alias_value":"XSH3HMHHQ7F7U6FE","created_at":"2026-07-05T11:46:09Z"},{"alias_kind":"pith_short_8","alias_value":"XSH3HMHH","created_at":"2026-07-05T11:46:09Z"}],"graph_snapshots":[{"event_id":"sha256:819656df5951f7ea58b1640b6a8f40c8af3e2d85208fdcd2463da4690190c0c6","target":"graph","created_at":"2026-07-05T11:46:09Z","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/2507.23297/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Precise modeling of detector energy response is crucial for next-generation neutrino experiments which present computational challenges due to lack of analytical likelihoods. We propose a solution using neural likelihood estimation within the simulation-based inference framework. We develop two complementary neural density estimators that model likelihoods of calibration data: conditional normalizing flows and a transformer-based regressor. We adopt JUNO - a large neutrino experiment - as a case study. The energy response of JUNO depends on several parameters, all of which should be tuned, giv","authors_text":"A. Barresi, A. Bergnoli, A. Brigatti, A. Budano, A. Cammi, A.C. Re, A. Fabbri, A. Garfagnini, A. Gavrikov, A. Martini, A. Paoloni, A. Romani, A. Serafini, B. Caccianiga, B. Ricci, C. Clementi, C. Coletta, C. Landini, C. Sirignano, C. Tuv\\`e, C. Venettacci, D. Basilico, D. Chiesa, D. Dolzhikov, D. Orestano, E. Percalli, E. Previtali, E. Stanescu Farilla, F. Houria, F. Mantovani, F. Ortica, F. Petrucci, G. Andronico, G. Felici, G. Ferrante, G. Ranucci, G. Verde, I. Lippi, L. Lastrucci, L. Loi, L. Miramonti, L. Pelicci, L. Stanco, L. V. D'Auria, L. Votano, M. Beretta, M. Borghesi, M.D.C Torri, M.G. Giammarchi, M. Gonchar, M. Grassi, M. Montuschi, M. Nastasi, M. Sisti, N. Giudice, N. Guardone, P. Lombardi, R. Brugnera, R. Bruno, R. Caruso, R. M. Guizzetti, S. Dusini, S.M. Mari, V. Antonelli, V. Cerrone, V. Strati","cross_cats":["cs.LG","hep-ex","hep-ph","physics.ins-det"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2025-07-31T07:33:05Z","title":"Simulation-based inference for Precision Neutrino Physics through Neural Monte Carlo tuning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.23297","kind":"arxiv","version":1},"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":"sha256:1bd0d7da405a94244359d9c34531cab72b3c8a6f39c02bf9aca2369b0d5d100a","target":"record","created_at":"2026-07-05T11:46:09Z","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":"7541f14ca33d2abc100a5d1b64ec51ef93fb82abe9649d75b594cb01632c96e4","cross_cats_sorted":["cs.LG","hep-ex","hep-ph","physics.ins-det"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2025-07-31T07:33:05Z","title_canon_sha256":"05756c5e89e9b49ee3f7f953c3690ef13ec9cfb0531d7403777c467abcf52072"},"schema_version":"1.0","source":{"id":"2507.23297","kind":"arxiv","version":1}},"canonical_sha256":"bc8fb3b0e787cbfa78a4d1387e358edb44a148b72449554e3789bc4449ca1e8c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bc8fb3b0e787cbfa78a4d1387e358edb44a148b72449554e3789bc4449ca1e8c","first_computed_at":"2026-07-05T11:46:09.323057Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:46:09.323057Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9QAeAM35xxBochLrHcQC0EzeqO0QM6+BrCK7pAL4ZvtBy7q5CoIGinUWnIYJxouoKSxvhzOfhtcBW9T3xVzlAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:46:09.323512Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.23297","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1bd0d7da405a94244359d9c34531cab72b3c8a6f39c02bf9aca2369b0d5d100a","sha256:819656df5951f7ea58b1640b6a8f40c8af3e2d85208fdcd2463da4690190c0c6"],"state_sha256":"137958252ab9123a7ca3f3c00a37e33ba9895e8a7b2aaa904b05bc6cc631581f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sBmXi3JwLGmRj7WNYVSrVrJsjkXcBmU4gzy89by9O8KqTsWmp4z5UgKX/hrVlZKDV4vR/bgAr+NIS8WuYcRACg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T16:26:38.236787Z","bundle_sha256":"479d45704e3dfc53493131ae091f6eb5591c7cb5fc9cb5463bd2422b3969828b"}}