{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:ETYYN6LSVILB5CMJ7GDLFPRYBI","short_pith_number":"pith:ETYYN6LS","canonical_record":{"source":{"id":"1809.01819","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-09-06T04:50:08Z","cross_cats_sorted":["cs.AI","stat.ML"],"title_canon_sha256":"1a569cd5e80b4e8b9e07f991d08b272d7137aa056aa29d13494edcc67af93368","abstract_canon_sha256":"fdb3f157261482285b65059bedb238ea3455e2f890a33a9c61b3b5a4d031f02a"},"schema_version":"1.0"},"canonical_sha256":"24f186f972aa161e8989f986b2be380a19aa7c7c8ddb24189994a1cf25d0e1c6","source":{"kind":"arxiv","id":"1809.01819","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.01819","created_at":"2026-05-17T23:42:43Z"},{"alias_kind":"arxiv_version","alias_value":"1809.01819v2","created_at":"2026-05-17T23:42:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.01819","created_at":"2026-05-17T23:42:43Z"},{"alias_kind":"pith_short_12","alias_value":"ETYYN6LSVILB","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"ETYYN6LSVILB5CMJ","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"ETYYN6LS","created_at":"2026-05-18T12:32:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:ETYYN6LSVILB5CMJ7GDLFPRYBI","target":"record","payload":{"canonical_record":{"source":{"id":"1809.01819","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-09-06T04:50:08Z","cross_cats_sorted":["cs.AI","stat.ML"],"title_canon_sha256":"1a569cd5e80b4e8b9e07f991d08b272d7137aa056aa29d13494edcc67af93368","abstract_canon_sha256":"fdb3f157261482285b65059bedb238ea3455e2f890a33a9c61b3b5a4d031f02a"},"schema_version":"1.0"},"canonical_sha256":"24f186f972aa161e8989f986b2be380a19aa7c7c8ddb24189994a1cf25d0e1c6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:42:43.040765Z","signature_b64":"D+OhAHZWk0u26ICBPdYt/Q21/gB2Pl13OtK6fGEphpXGjVddEyZCpq25b77AAzBQWWpV9aUWv1AKvbI9dhZvDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"24f186f972aa161e8989f986b2be380a19aa7c7c8ddb24189994a1cf25d0e1c6","last_reissued_at":"2026-05-17T23:42:43.040123Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:42:43.040123Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1809.01819","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":"2026-05-17T23:42:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DQdsxaIr/tdfUYtkLMQLE5kVq/RMPK+SWx6gvOEPWSX1rUbktBWGIKxvI9f/+Csj4E6p3B+Nyuvr6mxtHjquDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T12:00:38.132699Z"},"content_sha256":"87990db17a8ee727cd98f7bd36e8dd707aa35739eab03221183907925845e1af","schema_version":"1.0","event_id":"sha256:87990db17a8ee727cd98f7bd36e8dd707aa35739eab03221183907925845e1af"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:ETYYN6LSVILB5CMJ7GDLFPRYBI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MASA: Motif-Aware State Assignment in Noisy Time Series Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","stat.ML"],"primary_cat":"cs.LG","authors_text":"David Hallac, Jure Leskovec, Rok Sosic, Saachi Jain","submitted_at":"2018-09-06T04:50:08Z","abstract_excerpt":"Complex systems, such as airplanes, cars, or financial markets, produce multivariate time series data consisting of a large number of system measurements over a period of time. Such data can be interpreted as a sequence of states, where each state represents a prototype of system behavior. An important problem in this domain is to identify repeated sequences of states, known as motifs. Such motifs correspond to complex behaviors that capture common sequences of state transitions. For example, in automotive data, a motif of \"making a turn\" might manifest as a sequence of states: slowing down, t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.01819","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":"2026-05-17T23:42:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"O9NqeMSOnfkK0iQ0VvucVc04F1tzr1PjiuLrX6HCMXO76GUSSUE48VqRwTUnY/s3ux2SSl0ypYqZQr3ZIFCvDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T12:00:38.133355Z"},"content_sha256":"ec63105090d93bd982ad003fc203666f30e19b9921c4450978a99a3ea315ad37","schema_version":"1.0","event_id":"sha256:ec63105090d93bd982ad003fc203666f30e19b9921c4450978a99a3ea315ad37"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ETYYN6LSVILB5CMJ7GDLFPRYBI/bundle.json","state_url":"https://pith.science/pith/ETYYN6LSVILB5CMJ7GDLFPRYBI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ETYYN6LSVILB5CMJ7GDLFPRYBI/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":"2026-05-25T12:00:38Z","links":{"resolver":"https://pith.science/pith/ETYYN6LSVILB5CMJ7GDLFPRYBI","bundle":"https://pith.science/pith/ETYYN6LSVILB5CMJ7GDLFPRYBI/bundle.json","state":"https://pith.science/pith/ETYYN6LSVILB5CMJ7GDLFPRYBI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ETYYN6LSVILB5CMJ7GDLFPRYBI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:ETYYN6LSVILB5CMJ7GDLFPRYBI","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":"fdb3f157261482285b65059bedb238ea3455e2f890a33a9c61b3b5a4d031f02a","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-09-06T04:50:08Z","title_canon_sha256":"1a569cd5e80b4e8b9e07f991d08b272d7137aa056aa29d13494edcc67af93368"},"schema_version":"1.0","source":{"id":"1809.01819","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.01819","created_at":"2026-05-17T23:42:43Z"},{"alias_kind":"arxiv_version","alias_value":"1809.01819v2","created_at":"2026-05-17T23:42:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.01819","created_at":"2026-05-17T23:42:43Z"},{"alias_kind":"pith_short_12","alias_value":"ETYYN6LSVILB","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"ETYYN6LSVILB5CMJ","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"ETYYN6LS","created_at":"2026-05-18T12:32:22Z"}],"graph_snapshots":[{"event_id":"sha256:ec63105090d93bd982ad003fc203666f30e19b9921c4450978a99a3ea315ad37","target":"graph","created_at":"2026-05-17T23:42:43Z","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":"Complex systems, such as airplanes, cars, or financial markets, produce multivariate time series data consisting of a large number of system measurements over a period of time. Such data can be interpreted as a sequence of states, where each state represents a prototype of system behavior. An important problem in this domain is to identify repeated sequences of states, known as motifs. Such motifs correspond to complex behaviors that capture common sequences of state transitions. For example, in automotive data, a motif of \"making a turn\" might manifest as a sequence of states: slowing down, t","authors_text":"David Hallac, Jure Leskovec, Rok Sosic, Saachi Jain","cross_cats":["cs.AI","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-09-06T04:50:08Z","title":"MASA: Motif-Aware State Assignment in Noisy Time Series Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.01819","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":"sha256:87990db17a8ee727cd98f7bd36e8dd707aa35739eab03221183907925845e1af","target":"record","created_at":"2026-05-17T23:42:43Z","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":"fdb3f157261482285b65059bedb238ea3455e2f890a33a9c61b3b5a4d031f02a","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-09-06T04:50:08Z","title_canon_sha256":"1a569cd5e80b4e8b9e07f991d08b272d7137aa056aa29d13494edcc67af93368"},"schema_version":"1.0","source":{"id":"1809.01819","kind":"arxiv","version":2}},"canonical_sha256":"24f186f972aa161e8989f986b2be380a19aa7c7c8ddb24189994a1cf25d0e1c6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"24f186f972aa161e8989f986b2be380a19aa7c7c8ddb24189994a1cf25d0e1c6","first_computed_at":"2026-05-17T23:42:43.040123Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:42:43.040123Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"D+OhAHZWk0u26ICBPdYt/Q21/gB2Pl13OtK6fGEphpXGjVddEyZCpq25b77AAzBQWWpV9aUWv1AKvbI9dhZvDA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:42:43.040765Z","signed_message":"canonical_sha256_bytes"},"source_id":"1809.01819","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:87990db17a8ee727cd98f7bd36e8dd707aa35739eab03221183907925845e1af","sha256:ec63105090d93bd982ad003fc203666f30e19b9921c4450978a99a3ea315ad37"],"state_sha256":"8b266097f71700b6560bc8028b03cd5cf326b1a781590caeffd8e2562486c6b1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OZ+J6RoFe+RGV5RHT8UVny8Jcc34HzVTwzcP1W1JCyBJb4cEfX09Nh8MFno/t/Apo/DvmyrfyOdSnYR9wv2iBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T12:00:38.137975Z","bundle_sha256":"4bd2f2024d06e4611f5251148298cce993e85716b961b5f16b0db590b95f35b1"}}