{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:AISGZCZMLUPYJ72ATOXYDXN46G","short_pith_number":"pith:AISGZCZM","canonical_record":{"source":{"id":"2203.10681","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-03-21T00:23:09Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"f9f7c8e3dce1d18fa88b2bdc4990f1b464eed24799cfcebb9708ff30ae78ce8f","abstract_canon_sha256":"9363644e94c5d4eb235073e1eda977346e732ff29bf1760c43cea8d410e2805d"},"schema_version":"1.0"},"canonical_sha256":"02246c8b2c5d1f84ff409baf81ddbcf1b215406d27f6341d0625afd645fe05f9","source":{"kind":"arxiv","id":"2203.10681","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.10681","created_at":"2026-07-05T04:40:26Z"},{"alias_kind":"arxiv_version","alias_value":"2203.10681v3","created_at":"2026-07-05T04:40:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.10681","created_at":"2026-07-05T04:40:26Z"},{"alias_kind":"pith_short_12","alias_value":"AISGZCZMLUPY","created_at":"2026-07-05T04:40:26Z"},{"alias_kind":"pith_short_16","alias_value":"AISGZCZMLUPYJ72A","created_at":"2026-07-05T04:40:26Z"},{"alias_kind":"pith_short_8","alias_value":"AISGZCZM","created_at":"2026-07-05T04:40:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:AISGZCZMLUPYJ72ATOXYDXN46G","target":"record","payload":{"canonical_record":{"source":{"id":"2203.10681","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-03-21T00:23:09Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"f9f7c8e3dce1d18fa88b2bdc4990f1b464eed24799cfcebb9708ff30ae78ce8f","abstract_canon_sha256":"9363644e94c5d4eb235073e1eda977346e732ff29bf1760c43cea8d410e2805d"},"schema_version":"1.0"},"canonical_sha256":"02246c8b2c5d1f84ff409baf81ddbcf1b215406d27f6341d0625afd645fe05f9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:40:26.385757Z","signature_b64":"MPoj4kcxsRcuJoO5Z9RhUDRwMxnnR+dXGB9iGTqxKH4TIdcvM1ps71O+VoEmFRJyjghqhcjL/e4d+WrPSSKiCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"02246c8b2c5d1f84ff409baf81ddbcf1b215406d27f6341d0625afd645fe05f9","last_reissued_at":"2026-07-05T04:40:26.385234Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:40:26.385234Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2203.10681","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:40:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GOZBbk690HaB8lJgRGK824gz5UeJxChKOXfLU1msbGWFWAmfaGNoUSfIlAFMj4D2lV6ZBpuaGPGyagfYMdVCAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T06:12:59.612356Z"},"content_sha256":"0ce866e350f4ae5180359fc0b4b2ed32cf54555173af790b3f7e8619c0783d46","schema_version":"1.0","event_id":"sha256:0ce866e350f4ae5180359fc0b4b2ed32cf54555173af790b3f7e8619c0783d46"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:AISGZCZMLUPYJ72ATOXYDXN46G","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Online Continual Learning for Embedded Devices","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Christopher Kanan, Tyler L. Hayes","submitted_at":"2022-03-21T00:23:09Z","abstract_excerpt":"Real-time on-device continual learning is needed for new applications such as home robots, user personalization on smartphones, and augmented/virtual reality headsets. However, this setting poses unique challenges: embedded devices have limited memory and compute capacity and conventional machine learning models suffer from catastrophic forgetting when updated on non-stationary data streams. While several online continual learning models have been developed, their effectiveness for embedded applications has not been rigorously studied. In this paper, we first identify criteria that online cont"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.10681","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/2203.10681/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":"2026-07-05T04:40:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Vw5qKsOSJ7Di88gqnhT4T1a16yQLwUPY6psR3cgtGHLH9GaKQCy0fKJZiKGQMtyDjSgtR9QtanF7cYxOvkC1Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T06:12:59.612840Z"},"content_sha256":"730cf9b8c5340273c9dd757e3795f9ea72549e3c7a64b61c2cbf13683fae696c","schema_version":"1.0","event_id":"sha256:730cf9b8c5340273c9dd757e3795f9ea72549e3c7a64b61c2cbf13683fae696c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AISGZCZMLUPYJ72ATOXYDXN46G/bundle.json","state_url":"https://pith.science/pith/AISGZCZMLUPYJ72ATOXYDXN46G/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AISGZCZMLUPYJ72ATOXYDXN46G/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":"2026-08-10T06:12:59Z","links":{"resolver":"https://pith.science/pith/AISGZCZMLUPYJ72ATOXYDXN46G","bundle":"https://pith.science/pith/AISGZCZMLUPYJ72ATOXYDXN46G/bundle.json","state":"https://pith.science/pith/AISGZCZMLUPYJ72ATOXYDXN46G/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AISGZCZMLUPYJ72ATOXYDXN46G/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:AISGZCZMLUPYJ72ATOXYDXN46G","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":"9363644e94c5d4eb235073e1eda977346e732ff29bf1760c43cea8d410e2805d","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-03-21T00:23:09Z","title_canon_sha256":"f9f7c8e3dce1d18fa88b2bdc4990f1b464eed24799cfcebb9708ff30ae78ce8f"},"schema_version":"1.0","source":{"id":"2203.10681","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.10681","created_at":"2026-07-05T04:40:26Z"},{"alias_kind":"arxiv_version","alias_value":"2203.10681v3","created_at":"2026-07-05T04:40:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.10681","created_at":"2026-07-05T04:40:26Z"},{"alias_kind":"pith_short_12","alias_value":"AISGZCZMLUPY","created_at":"2026-07-05T04:40:26Z"},{"alias_kind":"pith_short_16","alias_value":"AISGZCZMLUPYJ72A","created_at":"2026-07-05T04:40:26Z"},{"alias_kind":"pith_short_8","alias_value":"AISGZCZM","created_at":"2026-07-05T04:40:26Z"}],"graph_snapshots":[{"event_id":"sha256:730cf9b8c5340273c9dd757e3795f9ea72549e3c7a64b61c2cbf13683fae696c","target":"graph","created_at":"2026-07-05T04:40:26Z","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/2203.10681/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Real-time on-device continual learning is needed for new applications such as home robots, user personalization on smartphones, and augmented/virtual reality headsets. However, this setting poses unique challenges: embedded devices have limited memory and compute capacity and conventional machine learning models suffer from catastrophic forgetting when updated on non-stationary data streams. While several online continual learning models have been developed, their effectiveness for embedded applications has not been rigorously studied. In this paper, we first identify criteria that online cont","authors_text":"Christopher Kanan, Tyler L. Hayes","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-03-21T00:23:09Z","title":"Online Continual Learning for Embedded Devices"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.10681","kind":"arxiv","version":3},"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":"sha256:0ce866e350f4ae5180359fc0b4b2ed32cf54555173af790b3f7e8619c0783d46","target":"record","created_at":"2026-07-05T04:40:26Z","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":"9363644e94c5d4eb235073e1eda977346e732ff29bf1760c43cea8d410e2805d","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-03-21T00:23:09Z","title_canon_sha256":"f9f7c8e3dce1d18fa88b2bdc4990f1b464eed24799cfcebb9708ff30ae78ce8f"},"schema_version":"1.0","source":{"id":"2203.10681","kind":"arxiv","version":3}},"canonical_sha256":"02246c8b2c5d1f84ff409baf81ddbcf1b215406d27f6341d0625afd645fe05f9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"02246c8b2c5d1f84ff409baf81ddbcf1b215406d27f6341d0625afd645fe05f9","first_computed_at":"2026-07-05T04:40:26.385234Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:40:26.385234Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MPoj4kcxsRcuJoO5Z9RhUDRwMxnnR+dXGB9iGTqxKH4TIdcvM1ps71O+VoEmFRJyjghqhcjL/e4d+WrPSSKiCA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:40:26.385757Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.10681","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0ce866e350f4ae5180359fc0b4b2ed32cf54555173af790b3f7e8619c0783d46","sha256:730cf9b8c5340273c9dd757e3795f9ea72549e3c7a64b61c2cbf13683fae696c"],"state_sha256":"64bfb58b9c53d0246b058c2c6620223c786d28b42d0b4f5cc2d905a2c4d1267f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ujukSxYWB0FYEE/F1AcvE7TDM+9oVyjn63024NIvxrsvsVTqQJrdqmxfbRm9YfOl59NrI93xvu6QBMjlNIg+Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T06:12:59.616502Z","bundle_sha256":"be7130811fc2bf566560746607df8b974f66e2d43cc6df87a1c2b6c1306351b5"}}