{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:RYHYKZCU7IUIXXYKABR6WCPIHS","short_pith_number":"pith:RYHYKZCU","canonical_record":{"source":{"id":"2412.16830","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-22T02:36:09Z","cross_cats_sorted":["cs.DS","cs.NI"],"title_canon_sha256":"673061b65b0d01520198469d7a71c7f78bdc9096e34af44f1a34f64be7aab0dc","abstract_canon_sha256":"de191a64e2fbec30d338802dbb9395aa13e5176feb909660fdfa50b2aa6d736d"},"schema_version":"1.0"},"canonical_sha256":"8e0f856454fa288bdf0a0063eb09e83cb1bb8c09a1a9ae5ba436d7c0bd3ff45a","source":{"kind":"arxiv","id":"2412.16830","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.16830","created_at":"2026-07-05T09:53:47Z"},{"alias_kind":"arxiv_version","alias_value":"2412.16830v2","created_at":"2026-07-05T09:53:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.16830","created_at":"2026-07-05T09:53:47Z"},{"alias_kind":"pith_short_12","alias_value":"RYHYKZCU7IUI","created_at":"2026-07-05T09:53:47Z"},{"alias_kind":"pith_short_16","alias_value":"RYHYKZCU7IUIXXYK","created_at":"2026-07-05T09:53:47Z"},{"alias_kind":"pith_short_8","alias_value":"RYHYKZCU","created_at":"2026-07-05T09:53:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:RYHYKZCU7IUIXXYKABR6WCPIHS","target":"record","payload":{"canonical_record":{"source":{"id":"2412.16830","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-22T02:36:09Z","cross_cats_sorted":["cs.DS","cs.NI"],"title_canon_sha256":"673061b65b0d01520198469d7a71c7f78bdc9096e34af44f1a34f64be7aab0dc","abstract_canon_sha256":"de191a64e2fbec30d338802dbb9395aa13e5176feb909660fdfa50b2aa6d736d"},"schema_version":"1.0"},"canonical_sha256":"8e0f856454fa288bdf0a0063eb09e83cb1bb8c09a1a9ae5ba436d7c0bd3ff45a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:53:47.687422Z","signature_b64":"nPhR4kuwCT8GhTrnF2pKWlY5My9mYs8XeLqN3fgbGPTFm130Q91ZDtxQnjx7VPaVnFv0c9q8OLMhwCVnqT/aBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8e0f856454fa288bdf0a0063eb09e83cb1bb8c09a1a9ae5ba436d7c0bd3ff45a","last_reissued_at":"2026-07-05T09:53:47.686838Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:53:47.686838Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.16830","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:53:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PBYsA8wZnKig+pyD04C12qY1UkoE01gM467vQ4QkyLU0vqYTo/r/r8E1gicLQ/n+yjQH6sxkkn9IjQno7aaICw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T12:24:37.048349Z"},"content_sha256":"2781804cbbe89796219a15f4d72f4636893e87881edace72d9c1a2ac925ae14d","schema_version":"1.0","event_id":"sha256:2781804cbbe89796219a15f4d72f4636893e87881edace72d9c1a2ac925ae14d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:RYHYKZCU7IUIXXYKABR6WCPIHS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Algorithm Design for Continual Learning in IoT Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DS","cs.NI"],"primary_cat":"cs.LG","authors_text":"Lingjie Duan, Shugang Hao","submitted_at":"2024-12-22T02:36:09Z","abstract_excerpt":"Continual learning (CL) is a new online learning technique over sequentially generated streaming data from different tasks, aiming to maintain a small forgetting loss on previously-learned tasks. Existing work focuses on reducing the forgetting loss under a given task sequence. However, if similar tasks continuously appear to the end time, the forgetting loss is still huge on prior distinct tasks. In practical IoT networks, an autonomous vehicle to sample data and learn different tasks can route and alter the order of task pattern at increased travelling cost. To our best knowledge, we are the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.16830","kind":"arxiv","version":2},"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/2412.16830/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":"2026-07-05T09:53:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kVTdD1/nV6Qe6qM8r9qkAbiUYNlNZbDjQKKpuKuX5WRQbH7chNmb28bNf52szjpeoPMUcZ8kWkXtbVTHoAweBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T12:24:37.048886Z"},"content_sha256":"3c0782b5933ce00759256e1de83da1d6d70a60ba32be528f30087b7022a6ad12","schema_version":"1.0","event_id":"sha256:3c0782b5933ce00759256e1de83da1d6d70a60ba32be528f30087b7022a6ad12"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RYHYKZCU7IUIXXYKABR6WCPIHS/bundle.json","state_url":"https://pith.science/pith/RYHYKZCU7IUIXXYKABR6WCPIHS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RYHYKZCU7IUIXXYKABR6WCPIHS/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":"2026-08-22T12:24:37Z","links":{"resolver":"https://pith.science/pith/RYHYKZCU7IUIXXYKABR6WCPIHS","bundle":"https://pith.science/pith/RYHYKZCU7IUIXXYKABR6WCPIHS/bundle.json","state":"https://pith.science/pith/RYHYKZCU7IUIXXYKABR6WCPIHS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RYHYKZCU7IUIXXYKABR6WCPIHS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:RYHYKZCU7IUIXXYKABR6WCPIHS","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":"de191a64e2fbec30d338802dbb9395aa13e5176feb909660fdfa50b2aa6d736d","cross_cats_sorted":["cs.DS","cs.NI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-22T02:36:09Z","title_canon_sha256":"673061b65b0d01520198469d7a71c7f78bdc9096e34af44f1a34f64be7aab0dc"},"schema_version":"1.0","source":{"id":"2412.16830","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.16830","created_at":"2026-07-05T09:53:47Z"},{"alias_kind":"arxiv_version","alias_value":"2412.16830v2","created_at":"2026-07-05T09:53:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.16830","created_at":"2026-07-05T09:53:47Z"},{"alias_kind":"pith_short_12","alias_value":"RYHYKZCU7IUI","created_at":"2026-07-05T09:53:47Z"},{"alias_kind":"pith_short_16","alias_value":"RYHYKZCU7IUIXXYK","created_at":"2026-07-05T09:53:47Z"},{"alias_kind":"pith_short_8","alias_value":"RYHYKZCU","created_at":"2026-07-05T09:53:47Z"}],"graph_snapshots":[{"event_id":"sha256:3c0782b5933ce00759256e1de83da1d6d70a60ba32be528f30087b7022a6ad12","target":"graph","created_at":"2026-07-05T09:53:47Z","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/2412.16830/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Continual learning (CL) is a new online learning technique over sequentially generated streaming data from different tasks, aiming to maintain a small forgetting loss on previously-learned tasks. Existing work focuses on reducing the forgetting loss under a given task sequence. However, if similar tasks continuously appear to the end time, the forgetting loss is still huge on prior distinct tasks. In practical IoT networks, an autonomous vehicle to sample data and learn different tasks can route and alter the order of task pattern at increased travelling cost. To our best knowledge, we are the","authors_text":"Lingjie Duan, Shugang Hao","cross_cats":["cs.DS","cs.NI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-22T02:36:09Z","title":"Algorithm Design for Continual Learning in IoT Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.16830","kind":"arxiv","version":2},"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":"sha256:2781804cbbe89796219a15f4d72f4636893e87881edace72d9c1a2ac925ae14d","target":"record","created_at":"2026-07-05T09:53:47Z","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":"de191a64e2fbec30d338802dbb9395aa13e5176feb909660fdfa50b2aa6d736d","cross_cats_sorted":["cs.DS","cs.NI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-22T02:36:09Z","title_canon_sha256":"673061b65b0d01520198469d7a71c7f78bdc9096e34af44f1a34f64be7aab0dc"},"schema_version":"1.0","source":{"id":"2412.16830","kind":"arxiv","version":2}},"canonical_sha256":"8e0f856454fa288bdf0a0063eb09e83cb1bb8c09a1a9ae5ba436d7c0bd3ff45a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8e0f856454fa288bdf0a0063eb09e83cb1bb8c09a1a9ae5ba436d7c0bd3ff45a","first_computed_at":"2026-07-05T09:53:47.686838Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:53:47.686838Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nPhR4kuwCT8GhTrnF2pKWlY5My9mYs8XeLqN3fgbGPTFm130Q91ZDtxQnjx7VPaVnFv0c9q8OLMhwCVnqT/aBg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:53:47.687422Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.16830","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2781804cbbe89796219a15f4d72f4636893e87881edace72d9c1a2ac925ae14d","sha256:3c0782b5933ce00759256e1de83da1d6d70a60ba32be528f30087b7022a6ad12"],"state_sha256":"bdfbe84885b9dde8d35d0b7aeb1bc8879721f41d794ca99d9ebc4d068c74303a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wqrFKFM5xBKS/vLr0RuqCRFJcWQwrLAo1shjoR1whd/QI6fiQv5NP5uoJKX+HC3TGQKnkJUkegGouGts+safCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T12:24:37.053349Z","bundle_sha256":"fa205b360e09ba7390e7db2b26614926ddfec7666df8ba6661590b81cef15fd2"}}