{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:Q74FJTTURR475C44UA4MWTQ7UC","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":"57a599fe31d5ea24dd69a3ad468204c930754b67fd49370cc05337b99ae35d70","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ex","submitted_at":"2022-10-27T15:19:52Z","title_canon_sha256":"1f193f6d860714d1a384040a967b8c5411f0a3be72265f1fd471c0439b7a35e2"},"schema_version":"1.0","source":{"id":"2210.15535","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.15535","created_at":"2026-07-05T05:31:57Z"},{"alias_kind":"arxiv_version","alias_value":"2210.15535v2","created_at":"2026-07-05T05:31:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.15535","created_at":"2026-07-05T05:31:57Z"},{"alias_kind":"pith_short_12","alias_value":"Q74FJTTURR47","created_at":"2026-07-05T05:31:57Z"},{"alias_kind":"pith_short_16","alias_value":"Q74FJTTURR475C44","created_at":"2026-07-05T05:31:57Z"},{"alias_kind":"pith_short_8","alias_value":"Q74FJTTU","created_at":"2026-07-05T05:31:57Z"}],"graph_snapshots":[{"event_id":"sha256:f8db141d24cab15d7d77db6cd10e03cf87b1d8b4f95828471d01f5f64a3be9ca","target":"graph","created_at":"2026-07-05T05:31:57Z","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/2210.15535/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The paper presents a measurement of the T-odd correlation in radiation decay \\boldmath $K^+ \\rightarrow \\pi^{0} e^{+} \\nu_{e} \\gamma $ performed on the installation of the 101200 candidate events of the investigated decay were identified. Measured correlation $\\xi_{\\pi e \\gamma}$ -is a mixed product of moments $e^{+}$, $\\pi^{0}$, $\\gamma$ in the kaon rest system, normalized by $M^{3}_{K}$. To assess the asymmetry of the distribution by $\\xi_{\\pi e \\gamma}$ the value used is $A_{\\xi}= \\frac {N_{+}-N_{-}} {N_{+}+N_{-}}$, where $N_{+(-)}$ is the number of events with $\\xi$ greater than (less than","authors_text":"A. A. Khudyakov, A. M. Gorin, A. P. Filin, A. S. Sadovsky, A. V. Artamonov, A. V. Inyakin, A.V. Kulik, A. V. Ohotnikov, A.Yu.Polyarush, B. Zh. Zalikhanov, E. N. Gushchin, G. D. Kekelidze, G. V. Khaustov, I. S. Tyurin, M. V. Medynsky, O. G. Tchikilev, O. P. Yushchenko, S. A. Akimenko, S. A. Kholodenko, S. N. Filippov, S. V. Donskov, V. A. Duka, V. A. Lishin, V. A. Polyakov, V. A. Uvarov, V. D. Samoilenko, V. F. Kurshetsov, V. F. Obraztsov, V. I. Kravtsov, V. I. Romanovsky, V. I. Rykalin, V. M. Lysan, V. N. Bychkov, V. N. Kolosov, Yu. G. Kudenko","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ex","submitted_at":"2022-10-27T15:19:52Z","title":"Measurement of T-odd asymmetry in radiative K+ -> pi0 e+ nu gamma decay using OKA detector"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.15535","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:c157a6b88bf8d4cf6816c583d2a1eb617caad23fe0fa523c79184156181c6ee5","target":"record","created_at":"2026-07-05T05:31:57Z","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":"57a599fe31d5ea24dd69a3ad468204c930754b67fd49370cc05337b99ae35d70","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ex","submitted_at":"2022-10-27T15:19:52Z","title_canon_sha256":"1f193f6d860714d1a384040a967b8c5411f0a3be72265f1fd471c0439b7a35e2"},"schema_version":"1.0","source":{"id":"2210.15535","kind":"arxiv","version":2}},"canonical_sha256":"87f854ce748c79fe8b9ca038cb4e1fa0acfe4c243efb171ad5e0b16cf2c942e0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"87f854ce748c79fe8b9ca038cb4e1fa0acfe4c243efb171ad5e0b16cf2c942e0","first_computed_at":"2026-07-05T05:31:57.588557Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:31:57.588557Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ppjx08qbs/O6PkB7SpogJF00AX/xBE1km2pSiu0oJ/jabDdP2xzLlvfddzO68QdloHG2zT1Y/lrcYEH/cwbnBw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:31:57.589030Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.15535","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c157a6b88bf8d4cf6816c583d2a1eb617caad23fe0fa523c79184156181c6ee5","sha256:f8db141d24cab15d7d77db6cd10e03cf87b1d8b4f95828471d01f5f64a3be9ca"],"state_sha256":"e73b0094cd924077b8b5140fa25f3828de2ecf2c8dcd1ce74b2832addb22193c"}