{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:KUB364HVXW6SAN5R7DL2MUQQOD","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":"878494388ad20d659c2ef7dbf51abfca23b7b105916172e1aa29cdd6129ea3eb","cross_cats_sorted":["hep-ex"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2014-02-19T17:20:08Z","title_canon_sha256":"bd2650bfcbe0ab05ef3120c1a2922d25ca6f3f5d3abefe06240c20d0f994f8b9"},"schema_version":"1.0","source":{"id":"1402.4735","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1402.4735","created_at":"2026-05-18T01:44:36Z"},{"alias_kind":"arxiv_version","alias_value":"1402.4735v2","created_at":"2026-05-18T01:44:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1402.4735","created_at":"2026-05-18T01:44:36Z"},{"alias_kind":"pith_short_12","alias_value":"KUB364HVXW6S","created_at":"2026-05-18T12:28:35Z"},{"alias_kind":"pith_short_16","alias_value":"KUB364HVXW6SAN5R","created_at":"2026-05-18T12:28:35Z"},{"alias_kind":"pith_short_8","alias_value":"KUB364HV","created_at":"2026-05-18T12:28:35Z"}],"graph_snapshots":[{"event_id":"sha256:c3bcf251af2b6ec5f76ed5326a17467c06007800a66b0f707353ecfb09b06b93","target":"graph","created_at":"2026-05-18T01:44:36Z","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":"Collisions at high-energy particle colliders are a traditionally fruitful source of exotic particle discoveries. Finding these rare particles requires solving difficult signal-versus-background classification problems, hence machine learning approaches are often used. Standard approaches have relied on `shallow' machine learning models that have a limited capacity to learn complex non-linear functions of the inputs, and rely on a pain-staking search through manually constructed non-linear features. Progress on this problem has slowed, as a variety of techniques have shown equivalent performanc","authors_text":"Daniel Whiteson, Peter Sadowski, Pierre Baldi","cross_cats":["hep-ex"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2014-02-19T17:20:08Z","title":"Searching for Exotic Particles in High-Energy Physics with Deep Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1402.4735","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":"sha256:95dce2a14d30fc539a302fb344af716c2c8fdddbabdc696113ef33f7c8fc325e","target":"record","created_at":"2026-05-18T01:44:36Z","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":"878494388ad20d659c2ef7dbf51abfca23b7b105916172e1aa29cdd6129ea3eb","cross_cats_sorted":["hep-ex"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2014-02-19T17:20:08Z","title_canon_sha256":"bd2650bfcbe0ab05ef3120c1a2922d25ca6f3f5d3abefe06240c20d0f994f8b9"},"schema_version":"1.0","source":{"id":"1402.4735","kind":"arxiv","version":2}},"canonical_sha256":"5503bf70f5bdbd2037b1f8d7a6521070ff0ff3c34346226bcd718e2371d40cf1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5503bf70f5bdbd2037b1f8d7a6521070ff0ff3c34346226bcd718e2371d40cf1","first_computed_at":"2026-05-18T01:44:36.276277Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:44:36.276277Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TglhVimY4DslIdRpMYHp7YzAElv0y0OCjb1OtYB/fU6APIpiESw4ijW9zVolJcM3tIMEeMgx2hGMtaotON7NAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:44:36.276825Z","signed_message":"canonical_sha256_bytes"},"source_id":"1402.4735","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:95dce2a14d30fc539a302fb344af716c2c8fdddbabdc696113ef33f7c8fc325e","sha256:c3bcf251af2b6ec5f76ed5326a17467c06007800a66b0f707353ecfb09b06b93"],"state_sha256":"735b7cb414a9f45809cadcca6eac5b2cbd1a9534ae7aa47a8508ac2c2446ffcb"}