{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:QAOFIAWRE67S5RODD2SJESC6SP","short_pith_number":"pith:QAOFIAWR","schema_version":"1.0","canonical_sha256":"801c5402d127bf2ec5c31ea492485e93ebf4217f2bb2879bf53af9817816b370","source":{"kind":"arxiv","id":"2401.08637","version":3},"attestation_state":"computed","paper":{"title":"Synergy: Towards On-Body AI via Tiny AI Accelerator Collaboration on Wearables","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.DC","authors_text":"Chulhong Min, Fahim Kawsar, Si Young Jang, Taesik Gong, Utku G\\\"unay Acer","submitted_at":"2023-12-11T23:30:01Z","abstract_excerpt":"The advent of tiny artificial intelligence (AI) accelerators enables AI to run at the extreme edge, offering reduced latency, lower power cost, and improved privacy. When integrated into wearable devices, these accelerators open exciting opportunities, allowing various AI apps to run directly on the body. We present Synergy that provides AI apps with best-effort performance via system-driven holistic collaboration over AI accelerator-equipped wearables. To achieve this, Synergy provides device-agnostic programming interfaces to AI apps, giving the system visibility and controllability over the"},"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":"2401.08637","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DC","submitted_at":"2023-12-11T23:30:01Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"d2f49f95eb339e29faac93efbfdf6281739e1c2dd8abaf1ce8e5433f1133b2d8","abstract_canon_sha256":"0625bc20074b5b141f5ab5768786b50012bdfa2e98e030b8a19cbffc2ed165ff"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:52:53.775801Z","signature_b64":"7KVNHjXK48AMfQ6VyO/uQE8OB0b2IlFxEitZa0qaPo7X6NFxGGAy9R9F/nzaLEqHqYlJTbfdj1X0/grM0fxuAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"801c5402d127bf2ec5c31ea492485e93ebf4217f2bb2879bf53af9817816b370","last_reissued_at":"2026-07-05T10:52:53.775304Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:52:53.775304Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Synergy: Towards On-Body AI via Tiny AI Accelerator Collaboration on Wearables","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.DC","authors_text":"Chulhong Min, Fahim Kawsar, Si Young Jang, Taesik Gong, Utku G\\\"unay Acer","submitted_at":"2023-12-11T23:30:01Z","abstract_excerpt":"The advent of tiny artificial intelligence (AI) accelerators enables AI to run at the extreme edge, offering reduced latency, lower power cost, and improved privacy. When integrated into wearable devices, these accelerators open exciting opportunities, allowing various AI apps to run directly on the body. We present Synergy that provides AI apps with best-effort performance via system-driven holistic collaboration over AI accelerator-equipped wearables. To achieve this, Synergy provides device-agnostic programming interfaces to AI apps, giving the system visibility and controllability over the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.08637","kind":"arxiv","version":3},"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/2401.08637/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":"2401.08637","created_at":"2026-07-05T10:52:53.775367+00:00"},{"alias_kind":"arxiv_version","alias_value":"2401.08637v3","created_at":"2026-07-05T10:52:53.775367+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.08637","created_at":"2026-07-05T10:52:53.775367+00:00"},{"alias_kind":"pith_short_12","alias_value":"QAOFIAWRE67S","created_at":"2026-07-05T10:52:53.775367+00:00"},{"alias_kind":"pith_short_16","alias_value":"QAOFIAWRE67S5ROD","created_at":"2026-07-05T10:52:53.775367+00:00"},{"alias_kind":"pith_short_8","alias_value":"QAOFIAWR","created_at":"2026-07-05T10:52:53.775367+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2505.18514","citing_title":"Test-Time Adaptation with Binary Feedback","ref_index":2022,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/QAOFIAWRE67S5RODD2SJESC6SP","json":"https://pith.science/pith/QAOFIAWRE67S5RODD2SJESC6SP.json","graph_json":"https://pith.science/api/pith-number/QAOFIAWRE67S5RODD2SJESC6SP/graph.json","events_json":"https://pith.science/api/pith-number/QAOFIAWRE67S5RODD2SJESC6SP/events.json","paper":"https://pith.science/paper/QAOFIAWR"},"agent_actions":{"view_html":"https://pith.science/pith/QAOFIAWRE67S5RODD2SJESC6SP","download_json":"https://pith.science/pith/QAOFIAWRE67S5RODD2SJESC6SP.json","view_paper":"https://pith.science/paper/QAOFIAWR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2401.08637&json=true","fetch_graph":"https://pith.science/api/pith-number/QAOFIAWRE67S5RODD2SJESC6SP/graph.json","fetch_events":"https://pith.science/api/pith-number/QAOFIAWRE67S5RODD2SJESC6SP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QAOFIAWRE67S5RODD2SJESC6SP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QAOFIAWRE67S5RODD2SJESC6SP/action/storage_attestation","attest_author":"https://pith.science/pith/QAOFIAWRE67S5RODD2SJESC6SP/action/author_attestation","sign_citation":"https://pith.science/pith/QAOFIAWRE67S5RODD2SJESC6SP/action/citation_signature","submit_replication":"https://pith.science/pith/QAOFIAWRE67S5RODD2SJESC6SP/action/replication_record"}},"created_at":"2026-07-05T10:52:53.775367+00:00","updated_at":"2026-07-05T10:52:53.775367+00:00"}