{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:IESAASWVV5QZBJSRIEU2U5VIOL","short_pith_number":"pith:IESAASWV","canonical_record":{"source":{"id":"2403.08040","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-03-12T19:23:13Z","cross_cats_sorted":["cs.AR"],"title_canon_sha256":"50a81d743cb9e2df5c57abad73e3f6f348bd841a09de4d8a2f6e4b1f44c2a390","abstract_canon_sha256":"c3ecaeb643c745d72c890b460a4a0ff2067b3ba990c11e50a4a0aef2087f943d"},"schema_version":"1.0"},"canonical_sha256":"4124004ad5af6190a6514129aa76a872cb8f99b9aca14297188b9437b512834a","source":{"kind":"arxiv","id":"2403.08040","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.08040","created_at":"2026-07-05T09:13:50Z"},{"alias_kind":"arxiv_version","alias_value":"2403.08040v4","created_at":"2026-07-05T09:13:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.08040","created_at":"2026-07-05T09:13:50Z"},{"alias_kind":"pith_short_12","alias_value":"IESAASWVV5QZ","created_at":"2026-07-05T09:13:50Z"},{"alias_kind":"pith_short_16","alias_value":"IESAASWVV5QZBJSR","created_at":"2026-07-05T09:13:50Z"},{"alias_kind":"pith_short_8","alias_value":"IESAASWV","created_at":"2026-07-05T09:13:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:IESAASWVV5QZBJSRIEU2U5VIOL","target":"record","payload":{"canonical_record":{"source":{"id":"2403.08040","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-03-12T19:23:13Z","cross_cats_sorted":["cs.AR"],"title_canon_sha256":"50a81d743cb9e2df5c57abad73e3f6f348bd841a09de4d8a2f6e4b1f44c2a390","abstract_canon_sha256":"c3ecaeb643c745d72c890b460a4a0ff2067b3ba990c11e50a4a0aef2087f943d"},"schema_version":"1.0"},"canonical_sha256":"4124004ad5af6190a6514129aa76a872cb8f99b9aca14297188b9437b512834a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:13:50.748739Z","signature_b64":"BvN7fWMw5iKo63erShAjU+nQyLHOMZmX+ms6Fu2HD8M17UjdW2AmrddGcGmw+tPzrpPKwrJ7cYSImwfw5EVZDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4124004ad5af6190a6514129aa76a872cb8f99b9aca14297188b9437b512834a","last_reissued_at":"2026-07-05T09:13:50.748271Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:13:50.748271Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.08040","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:13:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"POePNUncoQUzRiXUi+CJ5IssnLc7spczISmOaQTnJoY5GkuoYywjPvYLCIeeUjxIO0PYHkOztcbIxLi9QfcuBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T23:13:04.861615Z"},"content_sha256":"2dd4b2e96f4f84b39a206a245a843aaaea5812500df2d7c2957a70b003eea8d1","schema_version":"1.0","event_id":"sha256:2dd4b2e96f4f84b39a206a245a843aaaea5812500df2d7c2957a70b003eea8d1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:IESAASWVV5QZBJSRIEU2U5VIOL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Low-Energy On-Device Personalization for MCUs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AR"],"primary_cat":"cs.LG","authors_text":"Hamed Haddadi, Payam Barnaghi, Ranya Aloufi, Xavier Cadet, Yuchen Zhao, Yushan Huang","submitted_at":"2024-03-12T19:23:13Z","abstract_excerpt":"Microcontroller Units (MCUs) are ideal platforms for edge applications due to their low cost and energy consumption, and are widely used in various applications, including personalized machine learning tasks, where customized models can enhance the task adaptation. However, existing approaches for local on-device personalization mostly support simple ML architectures or require complex local pre-training/training, leading to high energy consumption and negating the low-energy advantage of MCUs. In this paper, we introduce $MicroT$, an efficient and low-energy MCU personalization approach. $Mic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.08040","kind":"arxiv","version":4},"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/2403.08040/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:13:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2F7/hnC/jqIflunupz+tcSaK8z4NiE+v9KwlKY9JE9BN9dKJTzEg+7LTXLWmTOKBhnTZpLOqcht6dhHvF4GVBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T23:13:04.862020Z"},"content_sha256":"897e10ae24f1f55c8515406aa98b7019fc0880cb87c7855963b787da925cfff6","schema_version":"1.0","event_id":"sha256:897e10ae24f1f55c8515406aa98b7019fc0880cb87c7855963b787da925cfff6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IESAASWVV5QZBJSRIEU2U5VIOL/bundle.json","state_url":"https://pith.science/pith/IESAASWVV5QZBJSRIEU2U5VIOL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IESAASWVV5QZBJSRIEU2U5VIOL/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-08T23:13:04Z","links":{"resolver":"https://pith.science/pith/IESAASWVV5QZBJSRIEU2U5VIOL","bundle":"https://pith.science/pith/IESAASWVV5QZBJSRIEU2U5VIOL/bundle.json","state":"https://pith.science/pith/IESAASWVV5QZBJSRIEU2U5VIOL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IESAASWVV5QZBJSRIEU2U5VIOL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:IESAASWVV5QZBJSRIEU2U5VIOL","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":"c3ecaeb643c745d72c890b460a4a0ff2067b3ba990c11e50a4a0aef2087f943d","cross_cats_sorted":["cs.AR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-03-12T19:23:13Z","title_canon_sha256":"50a81d743cb9e2df5c57abad73e3f6f348bd841a09de4d8a2f6e4b1f44c2a390"},"schema_version":"1.0","source":{"id":"2403.08040","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.08040","created_at":"2026-07-05T09:13:50Z"},{"alias_kind":"arxiv_version","alias_value":"2403.08040v4","created_at":"2026-07-05T09:13:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.08040","created_at":"2026-07-05T09:13:50Z"},{"alias_kind":"pith_short_12","alias_value":"IESAASWVV5QZ","created_at":"2026-07-05T09:13:50Z"},{"alias_kind":"pith_short_16","alias_value":"IESAASWVV5QZBJSR","created_at":"2026-07-05T09:13:50Z"},{"alias_kind":"pith_short_8","alias_value":"IESAASWV","created_at":"2026-07-05T09:13:50Z"}],"graph_snapshots":[{"event_id":"sha256:897e10ae24f1f55c8515406aa98b7019fc0880cb87c7855963b787da925cfff6","target":"graph","created_at":"2026-07-05T09:13:50Z","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/2403.08040/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Microcontroller Units (MCUs) are ideal platforms for edge applications due to their low cost and energy consumption, and are widely used in various applications, including personalized machine learning tasks, where customized models can enhance the task adaptation. However, existing approaches for local on-device personalization mostly support simple ML architectures or require complex local pre-training/training, leading to high energy consumption and negating the low-energy advantage of MCUs. In this paper, we introduce $MicroT$, an efficient and low-energy MCU personalization approach. $Mic","authors_text":"Hamed Haddadi, Payam Barnaghi, Ranya Aloufi, Xavier Cadet, Yuchen Zhao, Yushan Huang","cross_cats":["cs.AR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-03-12T19:23:13Z","title":"Low-Energy On-Device Personalization for MCUs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.08040","kind":"arxiv","version":4},"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":"sha256:2dd4b2e96f4f84b39a206a245a843aaaea5812500df2d7c2957a70b003eea8d1","target":"record","created_at":"2026-07-05T09:13:50Z","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":"c3ecaeb643c745d72c890b460a4a0ff2067b3ba990c11e50a4a0aef2087f943d","cross_cats_sorted":["cs.AR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-03-12T19:23:13Z","title_canon_sha256":"50a81d743cb9e2df5c57abad73e3f6f348bd841a09de4d8a2f6e4b1f44c2a390"},"schema_version":"1.0","source":{"id":"2403.08040","kind":"arxiv","version":4}},"canonical_sha256":"4124004ad5af6190a6514129aa76a872cb8f99b9aca14297188b9437b512834a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4124004ad5af6190a6514129aa76a872cb8f99b9aca14297188b9437b512834a","first_computed_at":"2026-07-05T09:13:50.748271Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:13:50.748271Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BvN7fWMw5iKo63erShAjU+nQyLHOMZmX+ms6Fu2HD8M17UjdW2AmrddGcGmw+tPzrpPKwrJ7cYSImwfw5EVZDg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:13:50.748739Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.08040","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2dd4b2e96f4f84b39a206a245a843aaaea5812500df2d7c2957a70b003eea8d1","sha256:897e10ae24f1f55c8515406aa98b7019fc0880cb87c7855963b787da925cfff6"],"state_sha256":"9ce70843a30a5d768c71d2be582918b5a741065c71aae417411dbe31759fae6a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XxelA/HUL53iRutsU5CmiRNaNtVvSVRyZpuTbS2vTbyFaKl54ff8K2E8u+mQeDpLgcVRFnuql6lkSZdCwNn0DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T23:13:04.864067Z","bundle_sha256":"d8845b7eeaa3501d2080df14e5502b56fde562e7389c3b1aca123527f9575dab"}}