{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DE7DRZRBVRXROMCNXDH56Q34V4","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":"ccdef7345c1bdef8e7b38884b8f2c5f22514d88ee7867722255387dfd8e5ca96","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-17T14:12:20Z","title_canon_sha256":"8e79c5131226c05e0f7289f965418670e7a781b8af7548be523e367a07994f34"},"schema_version":"1.0","source":{"id":"2412.13232","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.13232","created_at":"2026-07-05T09:50:58Z"},{"alias_kind":"arxiv_version","alias_value":"2412.13232v1","created_at":"2026-07-05T09:50:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.13232","created_at":"2026-07-05T09:50:58Z"},{"alias_kind":"pith_short_12","alias_value":"DE7DRZRBVRXR","created_at":"2026-07-05T09:50:58Z"},{"alias_kind":"pith_short_16","alias_value":"DE7DRZRBVRXROMCN","created_at":"2026-07-05T09:50:58Z"},{"alias_kind":"pith_short_8","alias_value":"DE7DRZRB","created_at":"2026-07-05T09:50:58Z"}],"graph_snapshots":[{"event_id":"sha256:8a0b70e303ec32f53d6a358c6c91f66e9b0f886a931ac7fe1a3ab7866ea34395","target":"graph","created_at":"2026-07-05T09:50:58Z","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/2412.13232/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Due to the superior ability of global dependency, transformer and its variants have become the primary choice in Masked Time-series Modeling (MTM) towards time-series classification task. In this paper, we experimentally analyze that existing transformer-based MTM methods encounter with two under-explored issues when dealing with time series data: (1) they encode features by performing long-dependency ensemble averaging, which easily results in rank collapse and feature homogenization as the layer goes deeper; (2) they exhibit distinct priorities in fitting different frequency components conta","authors_text":"Haocong Wang, Weili Guan, Xuemeng Song, Yongshun Gong, Yudong Han, Yupeng Hu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-17T14:12:20Z","title":"Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.13232","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:aa1e5f3479860eeda64c67b59e39e6d6a249e0ee78e00c1659902d93b2ab05e8","target":"record","created_at":"2026-07-05T09:50:58Z","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":"ccdef7345c1bdef8e7b38884b8f2c5f22514d88ee7867722255387dfd8e5ca96","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-17T14:12:20Z","title_canon_sha256":"8e79c5131226c05e0f7289f965418670e7a781b8af7548be523e367a07994f34"},"schema_version":"1.0","source":{"id":"2412.13232","kind":"arxiv","version":1}},"canonical_sha256":"193e38e621ac6f17304db8cfdf437caf235a7007bddf8a9fafa8101c5835af38","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"193e38e621ac6f17304db8cfdf437caf235a7007bddf8a9fafa8101c5835af38","first_computed_at":"2026-07-05T09:50:58.503329Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:50:58.503329Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Lg5FDQUKNBBNkbaMRYF/Y9tKtHXvyrLoG/QPJIU4Yxq6o3vMMm2iMfjJgfcrmnXd/ssfkzdfVNIYMjKzTnYIDA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:50:58.503777Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.13232","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aa1e5f3479860eeda64c67b59e39e6d6a249e0ee78e00c1659902d93b2ab05e8","sha256:8a0b70e303ec32f53d6a358c6c91f66e9b0f886a931ac7fe1a3ab7866ea34395"],"state_sha256":"4345751babb9161801f34d3488ce724b8d4090d96b32bbb464717cfc58a2855c"}