{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:SVSR6L2AVU4LK2ZUR2CSZCJFS5","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":"edbca78b699cd1dfdc166e70167f747f86ba08d26b776a7fcade7234bc185dd0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ex","submitted_at":"2024-11-08T22:27:01Z","title_canon_sha256":"fb0fdba48e650090895900631aa3e595c3969f9252ac0ff1aa2c49423866c626"},"schema_version":"1.0","source":{"id":"2411.05996","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.05996","created_at":"2026-07-05T09:33:14Z"},{"alias_kind":"arxiv_version","alias_value":"2411.05996v1","created_at":"2026-07-05T09:33:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.05996","created_at":"2026-07-05T09:33:14Z"},{"alias_kind":"pith_short_12","alias_value":"SVSR6L2AVU4L","created_at":"2026-07-05T09:33:14Z"},{"alias_kind":"pith_short_16","alias_value":"SVSR6L2AVU4LK2ZU","created_at":"2026-07-05T09:33:14Z"},{"alias_kind":"pith_short_8","alias_value":"SVSR6L2A","created_at":"2026-07-05T09:33:14Z"}],"graph_snapshots":[{"event_id":"sha256:a92475641edf0e585ac68fd4a76456d87dedf3e1504b3f2dfbd8cad97c9db2f1","target":"graph","created_at":"2026-07-05T09:33:14Z","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/2411.05996/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The simulation of detector response is a vital aspect of data analysis in particle physics, but current Monte Carlo methods are computationally expensive. Machine learning methods, which learn a mapping from incident particle to detector response, are much faster but require a model for every detector element with unique geometry. Complex geometries may require many models, each with their own training samples and hyperparameter tuning tasks. A promising approach is the use of geometry-aware models, which condition the response on the geometry, but current efforts typically require cumbersome ","authors_text":"Aishik Ghosh, Daniel Whiteson, Dylan Smith, Junze Liu, Pierre Baldi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ex","submitted_at":"2024-11-08T22:27:01Z","title":"Fast multi-geometry calorimeter simulation with conditional self-attention variational autoencoders"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.05996","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":"sha256:85356af15bccc798d4aa60c44fde391b3a76eddadaabc243008e1fc424ea9aeb","target":"record","created_at":"2026-07-05T09:33:14Z","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":"edbca78b699cd1dfdc166e70167f747f86ba08d26b776a7fcade7234bc185dd0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ex","submitted_at":"2024-11-08T22:27:01Z","title_canon_sha256":"fb0fdba48e650090895900631aa3e595c3969f9252ac0ff1aa2c49423866c626"},"schema_version":"1.0","source":{"id":"2411.05996","kind":"arxiv","version":1}},"canonical_sha256":"95651f2f40ad38b56b348e852c892597765d9a11c6d350580ef4d669df88a8b8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"95651f2f40ad38b56b348e852c892597765d9a11c6d350580ef4d669df88a8b8","first_computed_at":"2026-07-05T09:33:14.664180Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:33:14.664180Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MM1wpjcnROYEjxNobHDQmr9BDZT1P6Xn2G1nfYlcUrLzGSaWHwMDcO657yEuZX6eN5nmWzeBeAK1jv1GbdB0Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:33:14.664653Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.05996","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:85356af15bccc798d4aa60c44fde391b3a76eddadaabc243008e1fc424ea9aeb","sha256:a92475641edf0e585ac68fd4a76456d87dedf3e1504b3f2dfbd8cad97c9db2f1"],"state_sha256":"acc57a35fdd999457f30a022dc38a6c0882c3e704792f1f0493df22d2b159cc6"}