{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:GPSZMU4VOWOS4USMTDSE6USQ6D","short_pith_number":"pith:GPSZMU4V","canonical_record":{"source":{"id":"2411.09296","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ph","submitted_at":"2024-11-14T09:15:28Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"85dd53d72a5358c55091531896915049a2718360fc947b096e6088ab6356073a","abstract_canon_sha256":"a10bb1fa479fae479285140f3ccb2baf793b2da0882947b934c29de4147fa7c5"},"schema_version":"1.0"},"canonical_sha256":"33e5965395759d2e524c98e44f5250f0c9be30012d2101ecc4aaff71f9dc4a76","source":{"kind":"arxiv","id":"2411.09296","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.09296","created_at":"2026-07-05T11:43:58Z"},{"alias_kind":"arxiv_version","alias_value":"2411.09296v3","created_at":"2026-07-05T11:43:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.09296","created_at":"2026-07-05T11:43:58Z"},{"alias_kind":"pith_short_12","alias_value":"GPSZMU4VOWOS","created_at":"2026-07-05T11:43:58Z"},{"alias_kind":"pith_short_16","alias_value":"GPSZMU4VOWOS4USM","created_at":"2026-07-05T11:43:58Z"},{"alias_kind":"pith_short_8","alias_value":"GPSZMU4V","created_at":"2026-07-05T11:43:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:GPSZMU4VOWOS4USMTDSE6USQ6D","target":"record","payload":{"canonical_record":{"source":{"id":"2411.09296","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ph","submitted_at":"2024-11-14T09:15:28Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"85dd53d72a5358c55091531896915049a2718360fc947b096e6088ab6356073a","abstract_canon_sha256":"a10bb1fa479fae479285140f3ccb2baf793b2da0882947b934c29de4147fa7c5"},"schema_version":"1.0"},"canonical_sha256":"33e5965395759d2e524c98e44f5250f0c9be30012d2101ecc4aaff71f9dc4a76","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:43:58.525195Z","signature_b64":"2SZj5XzXCVSaZPjs6cluNUepj3Xz8r2oVOeNlQfVBknLaqGnwTgEP2h6uLIRFDnAyXu+HUndeS3Li10L7yozBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"33e5965395759d2e524c98e44f5250f0c9be30012d2101ecc4aaff71f9dc4a76","last_reissued_at":"2026-07-05T11:43:58.524713Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:43:58.524713Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.09296","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:43:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4QCaT/5LtVflLkC3dT4JdcrgHaRDCmRtHgDoxQxqBK2WfOyjNz4klAHQRtpchdean6lELU65F9aRwDG5BJ0SDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:32:55.419617Z"},"content_sha256":"4e5f6233ced1869e41c681d5a87422d4a7f62047b2f07b23b0bad6895e47d528","schema_version":"1.0","event_id":"sha256:4e5f6233ced1869e41c681d5a87422d4a7f62047b2f07b23b0bad6895e47d528"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:GPSZMU4VOWOS4USMTDSE6USQ6D","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Enhancing generalization in high energy physics using white-box adversarial attacks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"hep-ph","authors_text":"Franck Rothen, Matthew Leigh, Samuel Klein, Tobias Golling","submitted_at":"2024-11-14T09:15:28Z","abstract_excerpt":"Machine learning is becoming increasingly popular in the context of particle physics. Supervised learning, which uses labeled Monte Carlo (MC) simulations, remains one of the most widely used methods for discriminating signals beyond the Standard Model. However, this paper suggests that supervised models may depend excessively on artifacts and approximations from Monte Carlo simulations, potentially limiting their ability to generalize well to real data. This study aims to enhance the generalization properties of supervised models by reducing the sharpness of local minima. It reviews the appli"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.09296","kind":"arxiv","version":3},"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/2411.09296/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":"2026-07-05T11:43:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hrAKIzDq62XzxeCnTWIbaHjVj19dKOujCaLYvL+rg3zlqj18tpFAmhFXTSXpn1+2N7vEAmpNjEd+cjd9lDeLCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:32:55.420005Z"},"content_sha256":"4ab87e7ac178de304cffa9558a2245b273681fe86b3f4f45b8751a489c7a425d","schema_version":"1.0","event_id":"sha256:4ab87e7ac178de304cffa9558a2245b273681fe86b3f4f45b8751a489c7a425d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GPSZMU4VOWOS4USMTDSE6USQ6D/bundle.json","state_url":"https://pith.science/pith/GPSZMU4VOWOS4USMTDSE6USQ6D/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GPSZMU4VOWOS4USMTDSE6USQ6D/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":"2026-07-07T15:32:55Z","links":{"resolver":"https://pith.science/pith/GPSZMU4VOWOS4USMTDSE6USQ6D","bundle":"https://pith.science/pith/GPSZMU4VOWOS4USMTDSE6USQ6D/bundle.json","state":"https://pith.science/pith/GPSZMU4VOWOS4USMTDSE6USQ6D/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GPSZMU4VOWOS4USMTDSE6USQ6D/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:GPSZMU4VOWOS4USMTDSE6USQ6D","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":"a10bb1fa479fae479285140f3ccb2baf793b2da0882947b934c29de4147fa7c5","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ph","submitted_at":"2024-11-14T09:15:28Z","title_canon_sha256":"85dd53d72a5358c55091531896915049a2718360fc947b096e6088ab6356073a"},"schema_version":"1.0","source":{"id":"2411.09296","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.09296","created_at":"2026-07-05T11:43:58Z"},{"alias_kind":"arxiv_version","alias_value":"2411.09296v3","created_at":"2026-07-05T11:43:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.09296","created_at":"2026-07-05T11:43:58Z"},{"alias_kind":"pith_short_12","alias_value":"GPSZMU4VOWOS","created_at":"2026-07-05T11:43:58Z"},{"alias_kind":"pith_short_16","alias_value":"GPSZMU4VOWOS4USM","created_at":"2026-07-05T11:43:58Z"},{"alias_kind":"pith_short_8","alias_value":"GPSZMU4V","created_at":"2026-07-05T11:43:58Z"}],"graph_snapshots":[{"event_id":"sha256:4ab87e7ac178de304cffa9558a2245b273681fe86b3f4f45b8751a489c7a425d","target":"graph","created_at":"2026-07-05T11:43:58Z","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/2411.09296/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning is becoming increasingly popular in the context of particle physics. Supervised learning, which uses labeled Monte Carlo (MC) simulations, remains one of the most widely used methods for discriminating signals beyond the Standard Model. However, this paper suggests that supervised models may depend excessively on artifacts and approximations from Monte Carlo simulations, potentially limiting their ability to generalize well to real data. This study aims to enhance the generalization properties of supervised models by reducing the sharpness of local minima. It reviews the appli","authors_text":"Franck Rothen, Matthew Leigh, Samuel Klein, Tobias Golling","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ph","submitted_at":"2024-11-14T09:15:28Z","title":"Enhancing generalization in high energy physics using white-box adversarial attacks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.09296","kind":"arxiv","version":3},"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":"sha256:4e5f6233ced1869e41c681d5a87422d4a7f62047b2f07b23b0bad6895e47d528","target":"record","created_at":"2026-07-05T11:43:58Z","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":"a10bb1fa479fae479285140f3ccb2baf793b2da0882947b934c29de4147fa7c5","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ph","submitted_at":"2024-11-14T09:15:28Z","title_canon_sha256":"85dd53d72a5358c55091531896915049a2718360fc947b096e6088ab6356073a"},"schema_version":"1.0","source":{"id":"2411.09296","kind":"arxiv","version":3}},"canonical_sha256":"33e5965395759d2e524c98e44f5250f0c9be30012d2101ecc4aaff71f9dc4a76","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"33e5965395759d2e524c98e44f5250f0c9be30012d2101ecc4aaff71f9dc4a76","first_computed_at":"2026-07-05T11:43:58.524713Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:43:58.524713Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2SZj5XzXCVSaZPjs6cluNUepj3Xz8r2oVOeNlQfVBknLaqGnwTgEP2h6uLIRFDnAyXu+HUndeS3Li10L7yozBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:43:58.525195Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.09296","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4e5f6233ced1869e41c681d5a87422d4a7f62047b2f07b23b0bad6895e47d528","sha256:4ab87e7ac178de304cffa9558a2245b273681fe86b3f4f45b8751a489c7a425d"],"state_sha256":"1481b11ff92eb150dc466fbdd96eba58a09f616f887ef613c5e48bb1b62d3a6f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rxmwNrrkw/NHrujUz3JkPMg6iPW34u4JFTAiw4Y8KlwlN8VF3rkMxC46X4vGF7TblrJi70489x8kpHezShoLDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T15:32:55.421941Z","bundle_sha256":"b83bb19c085f9af1c183b9f567a8905d8ec84a31f361bf416bbfb3641bfa9c4c"}}