{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:KUB364HVXW6SAN5R7DL2MUQQOD","short_pith_number":"pith:KUB364HV","canonical_record":{"source":{"id":"1402.4735","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2014-02-19T17:20:08Z","cross_cats_sorted":["hep-ex"],"title_canon_sha256":"bd2650bfcbe0ab05ef3120c1a2922d25ca6f3f5d3abefe06240c20d0f994f8b9","abstract_canon_sha256":"878494388ad20d659c2ef7dbf51abfca23b7b105916172e1aa29cdd6129ea3eb"},"schema_version":"1.0"},"canonical_sha256":"5503bf70f5bdbd2037b1f8d7a6521070ff0ff3c34346226bcd718e2371d40cf1","source":{"kind":"arxiv","id":"1402.4735","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"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:KUB364HVXW6SAN5R7DL2MUQQOD","target":"record","payload":{"canonical_record":{"source":{"id":"1402.4735","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2014-02-19T17:20:08Z","cross_cats_sorted":["hep-ex"],"title_canon_sha256":"bd2650bfcbe0ab05ef3120c1a2922d25ca6f3f5d3abefe06240c20d0f994f8b9","abstract_canon_sha256":"878494388ad20d659c2ef7dbf51abfca23b7b105916172e1aa29cdd6129ea3eb"},"schema_version":"1.0"},"canonical_sha256":"5503bf70f5bdbd2037b1f8d7a6521070ff0ff3c34346226bcd718e2371d40cf1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:44:36.276825Z","signature_b64":"TglhVimY4DslIdRpMYHp7YzAElv0y0OCjb1OtYB/fU6APIpiESw4ijW9zVolJcM3tIMEeMgx2hGMtaotON7NAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5503bf70f5bdbd2037b1f8d7a6521070ff0ff3c34346226bcd718e2371d40cf1","last_reissued_at":"2026-05-18T01:44:36.276277Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:44:36.276277Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1402.4735","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":"2026-05-18T01:44:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/M+QYiddl75TDNuP+lxmoTCU7j6qkKteGeaEoJLJYtjcWOyAWUra7EwQPJc+y/iS+zM5M9w/+dSuvfs/vXSjCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T10:59:04.287449Z"},"content_sha256":"95dce2a14d30fc539a302fb344af716c2c8fdddbabdc696113ef33f7c8fc325e","schema_version":"1.0","event_id":"sha256:95dce2a14d30fc539a302fb344af716c2c8fdddbabdc696113ef33f7c8fc325e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:KUB364HVXW6SAN5R7DL2MUQQOD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Searching for Exotic Particles in High-Energy Physics with Deep Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ex"],"primary_cat":"hep-ph","authors_text":"Daniel Whiteson, Peter Sadowski, Pierre Baldi","submitted_at":"2014-02-19T17:20:08Z","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"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1402.4735","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":""},"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":"2026-05-18T01:44:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vYMBuLcHHulFMArABFASmH1PQR/nRYAS7P9hpSRO//vckhmvyI86FjzPsWtUyTaWjdhbyDb7thPvjN2zS4VbAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T10:59:04.288110Z"},"content_sha256":"c3bcf251af2b6ec5f76ed5326a17467c06007800a66b0f707353ecfb09b06b93","schema_version":"1.0","event_id":"sha256:c3bcf251af2b6ec5f76ed5326a17467c06007800a66b0f707353ecfb09b06b93"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KUB364HVXW6SAN5R7DL2MUQQOD/bundle.json","state_url":"https://pith.science/pith/KUB364HVXW6SAN5R7DL2MUQQOD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KUB364HVXW6SAN5R7DL2MUQQOD/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":"2026-06-06T10:59:04Z","links":{"resolver":"https://pith.science/pith/KUB364HVXW6SAN5R7DL2MUQQOD","bundle":"https://pith.science/pith/KUB364HVXW6SAN5R7DL2MUQQOD/bundle.json","state":"https://pith.science/pith/KUB364HVXW6SAN5R7DL2MUQQOD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KUB364HVXW6SAN5R7DL2MUQQOD/bundle.json"},"state":{"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"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TICLDuH2snFl/fVb3aiT8PtmXJcEBUWkvX3t/5BYo1ngzOo+w9I5fmeKK6upNJZViwfGmoVAOHV4SXGr77p5Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T10:59:04.292430Z","bundle_sha256":"7becf403ef0514541550e42cd57c15f8eb531b38332425c331458f1a78930102"}}