{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:FX4YD643MXIYU752AYGXZTYEDG","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":"c6ac28045d5daa90ef8e510e9962bb71fd70dbee518ada6aca8a151ea4ffcba7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-04-12T16:55:08Z","title_canon_sha256":"1a9d8ed8694cd9e3e7be3c82962c5fdf0f7b35b77b2f066cfda0997656ae46ea"},"schema_version":"1.0","source":{"id":"2404.08601","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.08601","created_at":"2026-07-05T08:07:24Z"},{"alias_kind":"arxiv_version","alias_value":"2404.08601v1","created_at":"2026-07-05T08:07:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.08601","created_at":"2026-07-05T08:07:24Z"},{"alias_kind":"pith_short_12","alias_value":"FX4YD643MXIY","created_at":"2026-07-05T08:07:24Z"},{"alias_kind":"pith_short_16","alias_value":"FX4YD643MXIYU752","created_at":"2026-07-05T08:07:24Z"},{"alias_kind":"pith_short_8","alias_value":"FX4YD643","created_at":"2026-07-05T08:07:24Z"}],"graph_snapshots":[{"event_id":"sha256:aa47e2a76e1f0926e8984c39e9e9d83722450b6164da8a7df5245a335292cb4a","target":"graph","created_at":"2026-07-05T08:07:24Z","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/2404.08601/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Data augmentation is an important facilitator of deep learning applications in the time series domain. A gap is identified in the literature, demonstrating sparse exploration of the transformer, the dominant sequence model, for data augmentation in time series. A architecture hybridizing several successful priors is put forth and tested using a powerful time domain similarity metric. Results suggest the challenge of this domain, and several valuable directions for future work.","authors_text":"Alexander Sommers, Joseph Jaboure, Logan Cummins, Maria Seale, Shahram Rahimi, Somayeh Bakhtiari Ramezani, Sudip Mittal","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-04-12T16:55:08Z","title":"Generating Synthetic Time Series Data for Cyber-Physical Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.08601","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":"sha256:62329748f5fa07986b6f205e4e317989124ca54fd2f0311791f5e27fcd6779c5","target":"record","created_at":"2026-07-05T08:07:24Z","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":"c6ac28045d5daa90ef8e510e9962bb71fd70dbee518ada6aca8a151ea4ffcba7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-04-12T16:55:08Z","title_canon_sha256":"1a9d8ed8694cd9e3e7be3c82962c5fdf0f7b35b77b2f066cfda0997656ae46ea"},"schema_version":"1.0","source":{"id":"2404.08601","kind":"arxiv","version":1}},"canonical_sha256":"2df981fb9b65d18a7fba060d7ccf0419b252b425a68b9e458a2abfb1bad9b607","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2df981fb9b65d18a7fba060d7ccf0419b252b425a68b9e458a2abfb1bad9b607","first_computed_at":"2026-07-05T08:07:24.104270Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:07:24.104270Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"t2v6bWNGe1UFyN7NYK9S984DKenjP8v8zGSXANttZC84CAKFS2iQbz2zNfSOFa/PSkIzRs5BpR2oScAE/5x+Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:07:24.104678Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.08601","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:62329748f5fa07986b6f205e4e317989124ca54fd2f0311791f5e27fcd6779c5","sha256:aa47e2a76e1f0926e8984c39e9e9d83722450b6164da8a7df5245a335292cb4a"],"state_sha256":"8dedbf69f6cadd8a45ea3cf09e8aa1157a1000b8a79c3462508da1ea2c218e79"}