{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:SKOHJFSUNLCP5X7JEVPW46H4DR","short_pith_number":"pith:SKOHJFSU","canonical_record":{"source":{"id":"2310.10060","kind":"arxiv","version":7},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-10-16T04:49:51Z","cross_cats_sorted":[],"title_canon_sha256":"323b626bebb2025aa31281cc38ada8cc0fdf272c1450a92e166b3968cdc2bfc6","abstract_canon_sha256":"049213b799afdf8478c83793372544f66d051114202cb74a7414fcd7123679f4"},"schema_version":"1.0"},"canonical_sha256":"929c7496546ac4fedfe9255f6e78fc1c7e7cae13658658ebf023c531d7b73e80","source":{"kind":"arxiv","id":"2310.10060","version":7},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.10060","created_at":"2026-07-05T11:28:57Z"},{"alias_kind":"arxiv_version","alias_value":"2310.10060v7","created_at":"2026-07-05T11:28:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.10060","created_at":"2026-07-05T11:28:57Z"},{"alias_kind":"pith_short_12","alias_value":"SKOHJFSUNLCP","created_at":"2026-07-05T11:28:57Z"},{"alias_kind":"pith_short_16","alias_value":"SKOHJFSUNLCP5X7J","created_at":"2026-07-05T11:28:57Z"},{"alias_kind":"pith_short_8","alias_value":"SKOHJFSU","created_at":"2026-07-05T11:28:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:SKOHJFSUNLCP5X7JEVPW46H4DR","target":"record","payload":{"canonical_record":{"source":{"id":"2310.10060","kind":"arxiv","version":7},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-10-16T04:49:51Z","cross_cats_sorted":[],"title_canon_sha256":"323b626bebb2025aa31281cc38ada8cc0fdf272c1450a92e166b3968cdc2bfc6","abstract_canon_sha256":"049213b799afdf8478c83793372544f66d051114202cb74a7414fcd7123679f4"},"schema_version":"1.0"},"canonical_sha256":"929c7496546ac4fedfe9255f6e78fc1c7e7cae13658658ebf023c531d7b73e80","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:28:57.169195Z","signature_b64":"eic8fvnG3jq+7Aj+x64OPNn4JRuglxX8qDfJlfAgGb3hc5Z51j3HMiDPCrkwhquOD2ygxFs3Lua1D2uAmcHCDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"929c7496546ac4fedfe9255f6e78fc1c7e7cae13658658ebf023c531d7b73e80","last_reissued_at":"2026-07-05T11:28:57.168722Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:28:57.168722Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.10060","source_version":7,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:28:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fAHi0pxTSoiyWfN3gEKi0pXADTsTvdh+nHI3xxBR8CKt/HIRRgSXCySK+DkKvO15E6CeTyX70Jgame2Bs6sIAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T02:13:31.993638Z"},"content_sha256":"d31692658b280c54accb644c075300bcc9317933b8e2e50fe427946ecdaa4908","schema_version":"1.0","event_id":"sha256:d31692658b280c54accb644c075300bcc9317933b8e2e50fe427946ecdaa4908"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:SKOHJFSUNLCP5X7JEVPW46H4DR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Haibao Liu, Lingbo Li, Zijun Gao","submitted_at":"2023-10-16T04:49:51Z","abstract_excerpt":"Data Augmentation (DA) has become a critical approach in Time Series Classification (TSC), primarily for its capacity to expand training datasets, enhance model robustness, introduce diversity, and reduce overfitting. However, the current landscape of DA in TSC is plagued with fragmented literature reviews, nebulous methodological taxonomies, inadequate evaluative measures, and a dearth of accessible and user-oriented tools. This study addresses these challenges through a comprehensive examination of DA methodologies within the TSC domain.Our research began with an extensive literature review "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.10060","kind":"arxiv","version":7},"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/2310.10060/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":"2026-07-05T11:28:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c3jtuIjQsnweF/4XpAm1x39kj9Q0NoK/an3ZPKn33mzZcfdMBFiGOlueck3CdA7m2VbaJ/PQB//5aGI/whjrDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T02:13:31.994174Z"},"content_sha256":"d45c36cb714a74d2711a5a306fcbabb6d26b8e31a9c2e562009b333536f00bac","schema_version":"1.0","event_id":"sha256:d45c36cb714a74d2711a5a306fcbabb6d26b8e31a9c2e562009b333536f00bac"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SKOHJFSUNLCP5X7JEVPW46H4DR/bundle.json","state_url":"https://pith.science/pith/SKOHJFSUNLCP5X7JEVPW46H4DR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SKOHJFSUNLCP5X7JEVPW46H4DR/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":"2026-08-10T02:13:31Z","links":{"resolver":"https://pith.science/pith/SKOHJFSUNLCP5X7JEVPW46H4DR","bundle":"https://pith.science/pith/SKOHJFSUNLCP5X7JEVPW46H4DR/bundle.json","state":"https://pith.science/pith/SKOHJFSUNLCP5X7JEVPW46H4DR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SKOHJFSUNLCP5X7JEVPW46H4DR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:SKOHJFSUNLCP5X7JEVPW46H4DR","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":"049213b799afdf8478c83793372544f66d051114202cb74a7414fcd7123679f4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-10-16T04:49:51Z","title_canon_sha256":"323b626bebb2025aa31281cc38ada8cc0fdf272c1450a92e166b3968cdc2bfc6"},"schema_version":"1.0","source":{"id":"2310.10060","kind":"arxiv","version":7}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.10060","created_at":"2026-07-05T11:28:57Z"},{"alias_kind":"arxiv_version","alias_value":"2310.10060v7","created_at":"2026-07-05T11:28:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.10060","created_at":"2026-07-05T11:28:57Z"},{"alias_kind":"pith_short_12","alias_value":"SKOHJFSUNLCP","created_at":"2026-07-05T11:28:57Z"},{"alias_kind":"pith_short_16","alias_value":"SKOHJFSUNLCP5X7J","created_at":"2026-07-05T11:28:57Z"},{"alias_kind":"pith_short_8","alias_value":"SKOHJFSU","created_at":"2026-07-05T11:28:57Z"}],"graph_snapshots":[{"event_id":"sha256:d45c36cb714a74d2711a5a306fcbabb6d26b8e31a9c2e562009b333536f00bac","target":"graph","created_at":"2026-07-05T11:28:57Z","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/2310.10060/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Data Augmentation (DA) has become a critical approach in Time Series Classification (TSC), primarily for its capacity to expand training datasets, enhance model robustness, introduce diversity, and reduce overfitting. However, the current landscape of DA in TSC is plagued with fragmented literature reviews, nebulous methodological taxonomies, inadequate evaluative measures, and a dearth of accessible and user-oriented tools. This study addresses these challenges through a comprehensive examination of DA methodologies within the TSC domain.Our research began with an extensive literature review ","authors_text":"Haibao Liu, Lingbo Li, Zijun Gao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-10-16T04:49:51Z","title":"Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.10060","kind":"arxiv","version":7},"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:d31692658b280c54accb644c075300bcc9317933b8e2e50fe427946ecdaa4908","target":"record","created_at":"2026-07-05T11:28:57Z","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":"049213b799afdf8478c83793372544f66d051114202cb74a7414fcd7123679f4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-10-16T04:49:51Z","title_canon_sha256":"323b626bebb2025aa31281cc38ada8cc0fdf272c1450a92e166b3968cdc2bfc6"},"schema_version":"1.0","source":{"id":"2310.10060","kind":"arxiv","version":7}},"canonical_sha256":"929c7496546ac4fedfe9255f6e78fc1c7e7cae13658658ebf023c531d7b73e80","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"929c7496546ac4fedfe9255f6e78fc1c7e7cae13658658ebf023c531d7b73e80","first_computed_at":"2026-07-05T11:28:57.168722Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:28:57.168722Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eic8fvnG3jq+7Aj+x64OPNn4JRuglxX8qDfJlfAgGb3hc5Z51j3HMiDPCrkwhquOD2ygxFs3Lua1D2uAmcHCDg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:28:57.169195Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.10060","source_kind":"arxiv","source_version":7}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d31692658b280c54accb644c075300bcc9317933b8e2e50fe427946ecdaa4908","sha256:d45c36cb714a74d2711a5a306fcbabb6d26b8e31a9c2e562009b333536f00bac"],"state_sha256":"9a39957ada16d29617faf89f3a58f71c72c7e36b3235c17266970ff87b4a7562"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"04b7L64baE5Hvd/JWJlpOm+ymUhqQojoBDdqAuPzfjZeCfVGzUL7fnfKXPVQ/B2mx39WiePbjBiV0YbZr8ibAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T02:13:32.001544Z","bundle_sha256":"855ea415659e9c4c72b5b68d33779e25f167e89d7643f949952fc697e94c29ef"}}