{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:33UQCEO3OVLHNSZS533KA2TFQO","short_pith_number":"pith:33UQCEO3","canonical_record":{"source":{"id":"2510.02168","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ex","submitted_at":"2025-10-02T16:15:48Z","cross_cats_sorted":["physics.data-an"],"title_canon_sha256":"40b6f2d7240af815572b3e99ae79c7092b61c115d2cc102c4a5f7b61f309fe26","abstract_canon_sha256":"0cdefcc2c66ffb4a21c72d8165ab827c0023d7016106f7b907af7b5e545fa559"},"schema_version":"1.0"},"canonical_sha256":"dee90111db755676cb32eef6a06a6583ae5df3457454f3a36e0ff04a39679a5a","source":{"kind":"arxiv","id":"2510.02168","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2510.02168","created_at":"2026-06-01T01:02:22Z"},{"alias_kind":"arxiv_version","alias_value":"2510.02168v2","created_at":"2026-06-01T01:02:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2510.02168","created_at":"2026-06-01T01:02:22Z"},{"alias_kind":"pith_short_12","alias_value":"33UQCEO3OVLH","created_at":"2026-06-01T01:02:22Z"},{"alias_kind":"pith_short_16","alias_value":"33UQCEO3OVLHNSZS","created_at":"2026-06-01T01:02:22Z"},{"alias_kind":"pith_short_8","alias_value":"33UQCEO3","created_at":"2026-06-01T01:02:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:33UQCEO3OVLHNSZS533KA2TFQO","target":"record","payload":{"canonical_record":{"source":{"id":"2510.02168","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ex","submitted_at":"2025-10-02T16:15:48Z","cross_cats_sorted":["physics.data-an"],"title_canon_sha256":"40b6f2d7240af815572b3e99ae79c7092b61c115d2cc102c4a5f7b61f309fe26","abstract_canon_sha256":"0cdefcc2c66ffb4a21c72d8165ab827c0023d7016106f7b907af7b5e545fa559"},"schema_version":"1.0"},"canonical_sha256":"dee90111db755676cb32eef6a06a6583ae5df3457454f3a36e0ff04a39679a5a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-01T01:02:22.439866Z","signature_b64":"IiTkpi1KW/4Ojx7oovj9ZUikoIYqIfFvt6TRGldldtPu9ioliVpmEgyYQGQodJf8OpE52OXsPWoyv9pIjzn+CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dee90111db755676cb32eef6a06a6583ae5df3457454f3a36e0ff04a39679a5a","last_reissued_at":"2026-06-01T01:02:22.438819Z","signature_status":"signed_v1","first_computed_at":"2026-06-01T01:02:22.438819Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2510.02168","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":"2026-06-01T01:02:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yE6Ct81b1fMC70HbKa0EdRGMmRGhulSb5OXoO/KKCHx83Fn8Ep51l9o4+3aH0oAx/hpxSEr9kKYDDzn6jMu4Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T01:19:10.910554Z"},"content_sha256":"e627154b10b2c8b28b174b8b2bd000c9aa5ba3f5c1e85239fc92aa9832b629e8","schema_version":"1.0","event_id":"sha256:e627154b10b2c8b28b174b8b2bd000c9aa5ba3f5c1e85239fc92aa9832b629e8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:33UQCEO3OVLHNSZS533KA2TFQO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Wasserstein normalized autoencoder for anomaly detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.data-an"],"primary_cat":"hep-ex","authors_text":"CMS Collaboration","submitted_at":"2025-10-02T16:15:48Z","abstract_excerpt":"A novel anomaly detection algorithm is presented. The Wasserstein normalized autoencoder (WNAE) is a normalized probabilistic model that minimizes the Wasserstein distance between the learned probability distribution--a Boltzmann distribution where the energy is the reconstruction error of the autoencoder--and the distribution of the training data. This algorithm has been developed and applied to the identification of semivisible jets--conical sprays of visible standard model particles and invisible dark matter states--with the CMS experiment at the CERN LHC. Trained on jets of particles from "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.02168","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2510.02168/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":"2026-06-01T01:02:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QHYiQ7JIu7AunAayF8QaxFN3bcKhOR98AiDnFEsChCuutoVFZBu1ajaRo6WZo6XaXa7St6sQqveBEajtp40zCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T01:19:10.911232Z"},"content_sha256":"b8a469697950a11b0f880f0ef8cccfd7d96cfe1545ee7535028c7d40c8b3b217","schema_version":"1.0","event_id":"sha256:b8a469697950a11b0f880f0ef8cccfd7d96cfe1545ee7535028c7d40c8b3b217"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/33UQCEO3OVLHNSZS533KA2TFQO/bundle.json","state_url":"https://pith.science/pith/33UQCEO3OVLHNSZS533KA2TFQO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/33UQCEO3OVLHNSZS533KA2TFQO/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":"2026-08-05T01:19:10Z","links":{"resolver":"https://pith.science/pith/33UQCEO3OVLHNSZS533KA2TFQO","bundle":"https://pith.science/pith/33UQCEO3OVLHNSZS533KA2TFQO/bundle.json","state":"https://pith.science/pith/33UQCEO3OVLHNSZS533KA2TFQO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/33UQCEO3OVLHNSZS533KA2TFQO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:33UQCEO3OVLHNSZS533KA2TFQO","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":"0cdefcc2c66ffb4a21c72d8165ab827c0023d7016106f7b907af7b5e545fa559","cross_cats_sorted":["physics.data-an"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ex","submitted_at":"2025-10-02T16:15:48Z","title_canon_sha256":"40b6f2d7240af815572b3e99ae79c7092b61c115d2cc102c4a5f7b61f309fe26"},"schema_version":"1.0","source":{"id":"2510.02168","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2510.02168","created_at":"2026-06-01T01:02:22Z"},{"alias_kind":"arxiv_version","alias_value":"2510.02168v2","created_at":"2026-06-01T01:02:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2510.02168","created_at":"2026-06-01T01:02:22Z"},{"alias_kind":"pith_short_12","alias_value":"33UQCEO3OVLH","created_at":"2026-06-01T01:02:22Z"},{"alias_kind":"pith_short_16","alias_value":"33UQCEO3OVLHNSZS","created_at":"2026-06-01T01:02:22Z"},{"alias_kind":"pith_short_8","alias_value":"33UQCEO3","created_at":"2026-06-01T01:02:22Z"}],"graph_snapshots":[{"event_id":"sha256:b8a469697950a11b0f880f0ef8cccfd7d96cfe1545ee7535028c7d40c8b3b217","target":"graph","created_at":"2026-06-01T01:02:22Z","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/2510.02168/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A novel anomaly detection algorithm is presented. The Wasserstein normalized autoencoder (WNAE) is a normalized probabilistic model that minimizes the Wasserstein distance between the learned probability distribution--a Boltzmann distribution where the energy is the reconstruction error of the autoencoder--and the distribution of the training data. This algorithm has been developed and applied to the identification of semivisible jets--conical sprays of visible standard model particles and invisible dark matter states--with the CMS experiment at the CERN LHC. Trained on jets of particles from ","authors_text":"CMS Collaboration","cross_cats":["physics.data-an"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ex","submitted_at":"2025-10-02T16:15:48Z","title":"Wasserstein normalized autoencoder for anomaly detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.02168","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:e627154b10b2c8b28b174b8b2bd000c9aa5ba3f5c1e85239fc92aa9832b629e8","target":"record","created_at":"2026-06-01T01:02:22Z","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":"0cdefcc2c66ffb4a21c72d8165ab827c0023d7016106f7b907af7b5e545fa559","cross_cats_sorted":["physics.data-an"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ex","submitted_at":"2025-10-02T16:15:48Z","title_canon_sha256":"40b6f2d7240af815572b3e99ae79c7092b61c115d2cc102c4a5f7b61f309fe26"},"schema_version":"1.0","source":{"id":"2510.02168","kind":"arxiv","version":2}},"canonical_sha256":"dee90111db755676cb32eef6a06a6583ae5df3457454f3a36e0ff04a39679a5a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dee90111db755676cb32eef6a06a6583ae5df3457454f3a36e0ff04a39679a5a","first_computed_at":"2026-06-01T01:02:22.438819Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-01T01:02:22.438819Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IiTkpi1KW/4Ojx7oovj9ZUikoIYqIfFvt6TRGldldtPu9ioliVpmEgyYQGQodJf8OpE52OXsPWoyv9pIjzn+CQ==","signature_status":"signed_v1","signed_at":"2026-06-01T01:02:22.439866Z","signed_message":"canonical_sha256_bytes"},"source_id":"2510.02168","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e627154b10b2c8b28b174b8b2bd000c9aa5ba3f5c1e85239fc92aa9832b629e8","sha256:b8a469697950a11b0f880f0ef8cccfd7d96cfe1545ee7535028c7d40c8b3b217"],"state_sha256":"3e550dcb14df2d1c4ace3b7b419a3fe64a256b6f746f2374f383699842f49d9c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fUT8HY0iwi/Hdcy90z6gBkcD/4f45i1Bu7BlavXIlwtS+MTtMUrdqHhEFJ9ucRF/eMrqnFbpMXlMk/WjGz0pAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T01:19:10.917026Z","bundle_sha256":"6ebfe0795bb24d716416c1e8648bd8865a20fd26c6d9b6a2dbd001b57ec5416b"}}