{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:UXCF52SLZR6SEEEHM5XBBVAJGG","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":"bf8380d713ec11e6a8f57fb0d8871e39c6faf4bb64bfd567e4fa650351da5d34","cross_cats_sorted":["eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2025-12-02T02:36:19Z","title_canon_sha256":"05d5b27344028d3d773da03077d9eb6586b04370804a14dcb9841c687203811b"},"schema_version":"1.0","source":{"id":"2512.11826","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2512.11826","created_at":"2026-07-21T00:19:54Z"},{"alias_kind":"arxiv_version","alias_value":"2512.11826v1","created_at":"2026-07-21T00:19:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2512.11826","created_at":"2026-07-21T00:19:54Z"},{"alias_kind":"pith_short_12","alias_value":"UXCF52SLZR6S","created_at":"2026-07-21T00:19:54Z"},{"alias_kind":"pith_short_16","alias_value":"UXCF52SLZR6SEEEH","created_at":"2026-07-21T00:19:54Z"},{"alias_kind":"pith_short_8","alias_value":"UXCF52SL","created_at":"2026-07-21T00:19:54Z"}],"graph_snapshots":[{"event_id":"sha256:943b3e5c7ad82717feba9ddbeba261fed08d4f2254cf4420b387da801e1af197","target":"graph","created_at":"2026-07-21T00:19:54Z","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/2512.11826/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper introduces FSL-HDnn, an energy-efficient accelerator that implements the end-to-end pipeline of feature extraction and on-device few-shot learning (FSL). The accelerator addresses fundamental challenges of on-device learning (ODL) for resource-constrained edge applications through two synergistic modules: a parameter-efficient feature extractor employing weight clustering and an FSL classifier based on hyperdimensional computing (HDC). The feature extractor exploits the weight clustering mechanism to reduce computational complexity, while the HDC-based FSL classifier eliminates grad","authors_text":"Carlos H. Diaz, Chang Eun Song, Haichao Yang, Leo Liu, Meng-Fan Chang, Mingu Kang, Tajana Rosing, Weihong Xu","cross_cats":["eess.IV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2025-12-02T02:36:19Z","title":"FSL-HDnn: A 40 nm Few-shot On-Device Learning Accelerator with Integrated Feature Extraction and Hyperdimensional Computing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2512.11826","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":"sha256:0f7fcefa73d322b93a3df3468a7fe67d136d937f0870909447c66a36a394fc28","target":"record","created_at":"2026-07-21T00:19:54Z","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":"bf8380d713ec11e6a8f57fb0d8871e39c6faf4bb64bfd567e4fa650351da5d34","cross_cats_sorted":["eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2025-12-02T02:36:19Z","title_canon_sha256":"05d5b27344028d3d773da03077d9eb6586b04370804a14dcb9841c687203811b"},"schema_version":"1.0","source":{"id":"2512.11826","kind":"arxiv","version":1}},"canonical_sha256":"a5c45eea4bcc7d221087676e10d40931bbdfced40cbe379dfa7393d9c79b3fee","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a5c45eea4bcc7d221087676e10d40931bbdfced40cbe379dfa7393d9c79b3fee","first_computed_at":"2026-07-21T00:19:54.075198Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-21T00:19:54.075198Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"J0BhL0vS73tEGUfYFua4LRPltdAs5kfzvUOFuAOaENjNPxvCC3//Q8ZjJIRbYM1tSTER8soeJiE/s/mG3a5QAQ==","signature_status":"signed_v1","signed_at":"2026-07-21T00:19:54.076208Z","signed_message":"canonical_sha256_bytes"},"source_id":"2512.11826","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0f7fcefa73d322b93a3df3468a7fe67d136d937f0870909447c66a36a394fc28","sha256:943b3e5c7ad82717feba9ddbeba261fed08d4f2254cf4420b387da801e1af197"],"state_sha256":"e4880efa1c41587ef6583b9aa8aa2bcc8bb4e603fd0492391205db65c25aed52"}