{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:34CK65K4C5GZSUVCKDAPFJI5BO","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":"4e98e6ca1dc362f993bf7cfcfe783c37b87f1552689e711af35d47b5ff31c7e0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2020-04-29T15:00:10Z","title_canon_sha256":"9a4aa10c9800e4133ceec134943c1e15059288d3293f38d5b5a392a0b24c96ae"},"schema_version":"1.0","source":{"id":"2004.14252","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2004.14252","created_at":"2026-07-05T00:59:18Z"},{"alias_kind":"arxiv_version","alias_value":"2004.14252v1","created_at":"2026-07-05T00:59:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.14252","created_at":"2026-07-05T00:59:18Z"},{"alias_kind":"pith_short_12","alias_value":"34CK65K4C5GZ","created_at":"2026-07-05T00:59:18Z"},{"alias_kind":"pith_short_16","alias_value":"34CK65K4C5GZSUVC","created_at":"2026-07-05T00:59:18Z"},{"alias_kind":"pith_short_8","alias_value":"34CK65K4","created_at":"2026-07-05T00:59:18Z"}],"graph_snapshots":[{"event_id":"sha256:cd3fe1b2c693787ce01d14f987e291effebf245a689ef7a2a71cf014773057c0","target":"graph","created_at":"2026-07-05T00:59:18Z","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/2004.14252/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Brain-inspired Hyperdimensional (HD) computing is an emerging technique for cognitive tasks in the field of low-power design. As a fast-learning and energy-efficient computational paradigm, HD computing has shown great success in many real-world applications. However, an HD model incrementally trained on multiple tasks suffers from the negative impacts of catastrophic forgetting. The model forgets the knowledge learned from previous tasks and only focuses on the current one. To the best of our knowledge, no study has been conducted to investigate the feasibility of applying multi-task learning","authors_text":"An-Yeu Wu, Cheng-Yang Chang, Yu-Chuan Chuang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2020-04-29T15:00:10Z","title":"Task-Projected Hyperdimensional Computing for Multi-Task Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.14252","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":"sha256:7e01df488930b82571594474ddab6554f6bcb5ecc2775c42200936b0e6e8d626","target":"record","created_at":"2026-07-05T00:59:18Z","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":"4e98e6ca1dc362f993bf7cfcfe783c37b87f1552689e711af35d47b5ff31c7e0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2020-04-29T15:00:10Z","title_canon_sha256":"9a4aa10c9800e4133ceec134943c1e15059288d3293f38d5b5a392a0b24c96ae"},"schema_version":"1.0","source":{"id":"2004.14252","kind":"arxiv","version":1}},"canonical_sha256":"df04af755c174d9952a250c0f2a51d0b86dc75a9660c788915d95899fb44cda2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"df04af755c174d9952a250c0f2a51d0b86dc75a9660c788915d95899fb44cda2","first_computed_at":"2026-07-05T00:59:18.749842Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:59:18.749842Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HPyzt6tC28LrQ4R3qmZR4rFymNjf8hecXqJfh2GZ4EsbwmhOP0yyVSqg/o31PyaOaPUnnQxOMHg/7GPeUP8MDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T00:59:18.750274Z","signed_message":"canonical_sha256_bytes"},"source_id":"2004.14252","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7e01df488930b82571594474ddab6554f6bcb5ecc2775c42200936b0e6e8d626","sha256:cd3fe1b2c693787ce01d14f987e291effebf245a689ef7a2a71cf014773057c0"],"state_sha256":"61cdc3cd48ad151bebf65c850f5971c9014e9062a3bcf80ec1c6c08e6157c449"}