{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:DVGJTLVU423LRABRX7CRRLL7QI","short_pith_number":"pith:DVGJTLVU","schema_version":"1.0","canonical_sha256":"1d4c99aeb4e6b6b88031bfc518ad7f822fe04bc68cd3d410029576618ce01f52","source":{"kind":"arxiv","id":"2606.02142","version":1},"attestation_state":"computed","paper":{"title":"TimeBlocks: Foundational and Continual Time-Series Blockbase -- Extended Version","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.DB"],"primary_cat":"cs.LG","authors_text":"Bin Yang, Chenjuan Guo, Christian S. Jensen, David Campos, Lei Chen, Tung Kieu","submitted_at":"2026-06-01T12:09:13Z","abstract_excerpt":"The ongoing digitization has led to a proliferation of time-series data streams that monitor a variety of processes, from which valuable insights may be obtained. Further, the emergence of successful foundational language models begs the question of whether it is possible to achieve time-series models with the foundational properties of handling multiple tasks, while being sufficiently lightweight to allow real-time data stream processing. Existing foundational time-series models are often large and only effective in offline settings without stringent time and computational constraints, and wh"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.02142","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-01T12:09:13Z","cross_cats_sorted":["cs.DB"],"title_canon_sha256":"d58b215671557931a138a65b033bfcaa2ffa3f4387b2ede618779f03a41858c5","abstract_canon_sha256":"8dceba7384e608b738a3a41431adf5df0e1f642bafd45d0e0628a9a06f3c1d17"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T02:05:07.640792Z","signature_b64":"RWvS91vf4fPRnvQsyhkdgC5MvSSNG5BWRHrjrrBy1SuXYocffazgh9BI1YDWmzTBOWXmNkveNvq54WuxUhOqBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1d4c99aeb4e6b6b88031bfc518ad7f822fe04bc68cd3d410029576618ce01f52","last_reissued_at":"2026-06-02T02:05:07.640430Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T02:05:07.640430Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"TimeBlocks: Foundational and Continual Time-Series Blockbase -- Extended Version","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.DB"],"primary_cat":"cs.LG","authors_text":"Bin Yang, Chenjuan Guo, Christian S. Jensen, David Campos, Lei Chen, Tung Kieu","submitted_at":"2026-06-01T12:09:13Z","abstract_excerpt":"The ongoing digitization has led to a proliferation of time-series data streams that monitor a variety of processes, from which valuable insights may be obtained. Further, the emergence of successful foundational language models begs the question of whether it is possible to achieve time-series models with the foundational properties of handling multiple tasks, while being sufficiently lightweight to allow real-time data stream processing. Existing foundational time-series models are often large and only effective in offline settings without stringent time and computational constraints, and wh"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.02142","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/2606.02142/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.02142","created_at":"2026-06-02T02:05:07.640488+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.02142v1","created_at":"2026-06-02T02:05:07.640488+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.02142","created_at":"2026-06-02T02:05:07.640488+00:00"},{"alias_kind":"pith_short_12","alias_value":"DVGJTLVU423L","created_at":"2026-06-02T02:05:07.640488+00:00"},{"alias_kind":"pith_short_16","alias_value":"DVGJTLVU423LRABR","created_at":"2026-06-02T02:05:07.640488+00:00"},{"alias_kind":"pith_short_8","alias_value":"DVGJTLVU","created_at":"2026-06-02T02:05:07.640488+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/DVGJTLVU423LRABRX7CRRLL7QI","json":"https://pith.science/pith/DVGJTLVU423LRABRX7CRRLL7QI.json","graph_json":"https://pith.science/api/pith-number/DVGJTLVU423LRABRX7CRRLL7QI/graph.json","events_json":"https://pith.science/api/pith-number/DVGJTLVU423LRABRX7CRRLL7QI/events.json","paper":"https://pith.science/paper/DVGJTLVU"},"agent_actions":{"view_html":"https://pith.science/pith/DVGJTLVU423LRABRX7CRRLL7QI","download_json":"https://pith.science/pith/DVGJTLVU423LRABRX7CRRLL7QI.json","view_paper":"https://pith.science/paper/DVGJTLVU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.02142&json=true","fetch_graph":"https://pith.science/api/pith-number/DVGJTLVU423LRABRX7CRRLL7QI/graph.json","fetch_events":"https://pith.science/api/pith-number/DVGJTLVU423LRABRX7CRRLL7QI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DVGJTLVU423LRABRX7CRRLL7QI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DVGJTLVU423LRABRX7CRRLL7QI/action/storage_attestation","attest_author":"https://pith.science/pith/DVGJTLVU423LRABRX7CRRLL7QI/action/author_attestation","sign_citation":"https://pith.science/pith/DVGJTLVU423LRABRX7CRRLL7QI/action/citation_signature","submit_replication":"https://pith.science/pith/DVGJTLVU423LRABRX7CRRLL7QI/action/replication_record"}},"created_at":"2026-06-02T02:05:07.640488+00:00","updated_at":"2026-06-02T02:05:07.640488+00:00"}