{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:PIPIA4NSP54TCUJC23LTSGDWKA","short_pith_number":"pith:PIPIA4NS","canonical_record":{"source":{"id":"2203.02841","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ex","submitted_at":"2022-03-06T00:37:35Z","cross_cats_sorted":["physics.data-an"],"title_canon_sha256":"c7ea2e219f21d4a46a5131b409c6163627a490fdaec03927e71a0f13d7dcf396","abstract_canon_sha256":"2419d84078862f8eb1dfd555055209120fbc1b76d52b7ff5146994101d315086"},"schema_version":"1.0"},"canonical_sha256":"7a1e8071b27f79315122d6d73918765033b39076c7997cb90491248eaa3052c4","source":{"kind":"arxiv","id":"2203.02841","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.02841","created_at":"2026-07-05T04:02:28Z"},{"alias_kind":"arxiv_version","alias_value":"2203.02841v1","created_at":"2026-07-05T04:02:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.02841","created_at":"2026-07-05T04:02:28Z"},{"alias_kind":"pith_short_12","alias_value":"PIPIA4NSP54T","created_at":"2026-07-05T04:02:28Z"},{"alias_kind":"pith_short_16","alias_value":"PIPIA4NSP54TCUJC","created_at":"2026-07-05T04:02:28Z"},{"alias_kind":"pith_short_8","alias_value":"PIPIA4NS","created_at":"2026-07-05T04:02:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:PIPIA4NSP54TCUJC23LTSGDWKA","target":"record","payload":{"canonical_record":{"source":{"id":"2203.02841","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ex","submitted_at":"2022-03-06T00:37:35Z","cross_cats_sorted":["physics.data-an"],"title_canon_sha256":"c7ea2e219f21d4a46a5131b409c6163627a490fdaec03927e71a0f13d7dcf396","abstract_canon_sha256":"2419d84078862f8eb1dfd555055209120fbc1b76d52b7ff5146994101d315086"},"schema_version":"1.0"},"canonical_sha256":"7a1e8071b27f79315122d6d73918765033b39076c7997cb90491248eaa3052c4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:02:28.144823Z","signature_b64":"VCyHKUWM2q/OoZb62rkfTU8DYiQZ8v86HDk1dc3/fFUDuCowbC0t0ToqqffYG9j4u3MPfsTcviU/35r0/unqAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7a1e8071b27f79315122d6d73918765033b39076c7997cb90491248eaa3052c4","last_reissued_at":"2026-07-05T04:02:28.144364Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:02:28.144364Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2203.02841","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:02:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Dg+COI+QXIaqMANPo9cLIaSdsXoHIc31mhRCf9/VHfHdYzekTVNSMaMAv56UqitAfSmfDXY6jacDJ8aU/TrKCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T09:36:24.502796Z"},"content_sha256":"0d320d34665db97ee757e97433b0ca9638e6566cf363b5c2c3220d23cfe4ac64","schema_version":"1.0","event_id":"sha256:0d320d34665db97ee757e97433b0ca9638e6566cf363b5c2c3220d23cfe4ac64"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:PIPIA4NSP54TCUJC23LTSGDWKA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Regression of Muon Energy with a K-Nearest Neighbor Algorithm","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.data-an"],"primary_cat":"hep-ex","authors_text":"Giles C. Strong, Jan Kieseler, Lukas Layer, Sofia Guglielmini, T. Dorigo","submitted_at":"2022-03-06T00:37:35Z","abstract_excerpt":"Within the context of studies for novel measurement solutions for future particle physics experiments, we developed a performant kNN-based regressor to infer the energy of highly-relativistic muons from the pattern of their radiation losses in a dense and granular calorimeter. The regressor is based on a pool of weak kNN learners, which learn by adapting weights and biases to each training event through stochastic gradient descent. The effective number of parameters optimized by the procedure is in the 60 millions range, thus comparable to that of large deep learning architectures. We test the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.02841","kind":"arxiv","version":1},"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/2203.02841/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":"2026-07-05T04:02:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"f6yKeDbpx0qRjJWF58SEwSaTyJeAiscN6+/qTI1x5iyZLPl8PSMBZDvyEY4aRvD0mYgJ4GRk4l0etuzfxMTJCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T09:36:24.503176Z"},"content_sha256":"cefbf1563faa0a4370729a3e11eb273ba48e9a9fc44aa7242564b0a768bb0a9d","schema_version":"1.0","event_id":"sha256:cefbf1563faa0a4370729a3e11eb273ba48e9a9fc44aa7242564b0a768bb0a9d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PIPIA4NSP54TCUJC23LTSGDWKA/bundle.json","state_url":"https://pith.science/pith/PIPIA4NSP54TCUJC23LTSGDWKA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PIPIA4NSP54TCUJC23LTSGDWKA/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":"2026-07-07T09:36:24Z","links":{"resolver":"https://pith.science/pith/PIPIA4NSP54TCUJC23LTSGDWKA","bundle":"https://pith.science/pith/PIPIA4NSP54TCUJC23LTSGDWKA/bundle.json","state":"https://pith.science/pith/PIPIA4NSP54TCUJC23LTSGDWKA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PIPIA4NSP54TCUJC23LTSGDWKA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:PIPIA4NSP54TCUJC23LTSGDWKA","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":"2419d84078862f8eb1dfd555055209120fbc1b76d52b7ff5146994101d315086","cross_cats_sorted":["physics.data-an"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ex","submitted_at":"2022-03-06T00:37:35Z","title_canon_sha256":"c7ea2e219f21d4a46a5131b409c6163627a490fdaec03927e71a0f13d7dcf396"},"schema_version":"1.0","source":{"id":"2203.02841","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.02841","created_at":"2026-07-05T04:02:28Z"},{"alias_kind":"arxiv_version","alias_value":"2203.02841v1","created_at":"2026-07-05T04:02:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.02841","created_at":"2026-07-05T04:02:28Z"},{"alias_kind":"pith_short_12","alias_value":"PIPIA4NSP54T","created_at":"2026-07-05T04:02:28Z"},{"alias_kind":"pith_short_16","alias_value":"PIPIA4NSP54TCUJC","created_at":"2026-07-05T04:02:28Z"},{"alias_kind":"pith_short_8","alias_value":"PIPIA4NS","created_at":"2026-07-05T04:02:28Z"}],"graph_snapshots":[{"event_id":"sha256:cefbf1563faa0a4370729a3e11eb273ba48e9a9fc44aa7242564b0a768bb0a9d","target":"graph","created_at":"2026-07-05T04:02:28Z","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/2203.02841/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Within the context of studies for novel measurement solutions for future particle physics experiments, we developed a performant kNN-based regressor to infer the energy of highly-relativistic muons from the pattern of their radiation losses in a dense and granular calorimeter. The regressor is based on a pool of weak kNN learners, which learn by adapting weights and biases to each training event through stochastic gradient descent. The effective number of parameters optimized by the procedure is in the 60 millions range, thus comparable to that of large deep learning architectures. We test the","authors_text":"Giles C. Strong, Jan Kieseler, Lukas Layer, Sofia Guglielmini, T. Dorigo","cross_cats":["physics.data-an"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ex","submitted_at":"2022-03-06T00:37:35Z","title":"Deep Regression of Muon Energy with a K-Nearest Neighbor Algorithm"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.02841","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":"sha256:0d320d34665db97ee757e97433b0ca9638e6566cf363b5c2c3220d23cfe4ac64","target":"record","created_at":"2026-07-05T04:02:28Z","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":"2419d84078862f8eb1dfd555055209120fbc1b76d52b7ff5146994101d315086","cross_cats_sorted":["physics.data-an"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ex","submitted_at":"2022-03-06T00:37:35Z","title_canon_sha256":"c7ea2e219f21d4a46a5131b409c6163627a490fdaec03927e71a0f13d7dcf396"},"schema_version":"1.0","source":{"id":"2203.02841","kind":"arxiv","version":1}},"canonical_sha256":"7a1e8071b27f79315122d6d73918765033b39076c7997cb90491248eaa3052c4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7a1e8071b27f79315122d6d73918765033b39076c7997cb90491248eaa3052c4","first_computed_at":"2026-07-05T04:02:28.144364Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:02:28.144364Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VCyHKUWM2q/OoZb62rkfTU8DYiQZ8v86HDk1dc3/fFUDuCowbC0t0ToqqffYG9j4u3MPfsTcviU/35r0/unqAw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:02:28.144823Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.02841","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0d320d34665db97ee757e97433b0ca9638e6566cf363b5c2c3220d23cfe4ac64","sha256:cefbf1563faa0a4370729a3e11eb273ba48e9a9fc44aa7242564b0a768bb0a9d"],"state_sha256":"bbe24c1e186248a89f4b0595f8289ea441afd3294a21ca79ad0abb3256fca7c8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lyB3VDx8CNrBQBRPO03jaCHU9wdg3N74n6iJA4Wt7lUui3Vlkpiah5b9HXXua/k+pdhrbmPpIF/CuLWJzDOIDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T09:36:24.505156Z","bundle_sha256":"d207ea117afcae56a1034d4942980da07832e5b014392b69cb7e84d18ba26624"}}