{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:VIJACJRHUHJKNKZ6PY27F3N6RC","short_pith_number":"pith:VIJACJRH","canonical_record":{"source":{"id":"2506.08063","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-09T09:42:57Z","cross_cats_sorted":["cs.SY","eess.SY"],"title_canon_sha256":"3658ae0ed67f07cf601c0ced5c5062fe440daf7c22b64e11ffda259645cf1cb8","abstract_canon_sha256":"e184bc58bd054cc4bdb996ac70de987ee0903751d935cfdc37db872565e3126e"},"schema_version":"1.0"},"canonical_sha256":"aa12012627a1d2a6ab3e7e35f2edbe888fcce6152ed17a92306bf8d93b9f905c","source":{"kind":"arxiv","id":"2506.08063","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.08063","created_at":"2026-07-05T11:18:44Z"},{"alias_kind":"arxiv_version","alias_value":"2506.08063v1","created_at":"2026-07-05T11:18:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.08063","created_at":"2026-07-05T11:18:44Z"},{"alias_kind":"pith_short_12","alias_value":"VIJACJRHUHJK","created_at":"2026-07-05T11:18:44Z"},{"alias_kind":"pith_short_16","alias_value":"VIJACJRHUHJKNKZ6","created_at":"2026-07-05T11:18:44Z"},{"alias_kind":"pith_short_8","alias_value":"VIJACJRH","created_at":"2026-07-05T11:18:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:VIJACJRHUHJKNKZ6PY27F3N6RC","target":"record","payload":{"canonical_record":{"source":{"id":"2506.08063","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-09T09:42:57Z","cross_cats_sorted":["cs.SY","eess.SY"],"title_canon_sha256":"3658ae0ed67f07cf601c0ced5c5062fe440daf7c22b64e11ffda259645cf1cb8","abstract_canon_sha256":"e184bc58bd054cc4bdb996ac70de987ee0903751d935cfdc37db872565e3126e"},"schema_version":"1.0"},"canonical_sha256":"aa12012627a1d2a6ab3e7e35f2edbe888fcce6152ed17a92306bf8d93b9f905c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:18:44.286330Z","signature_b64":"G+6r4PSKKk63HjAs9H6RODWapgYnA25SY2KZHSe1EBzRCNzCyF6qjMpcuSP0ZNniPT4NbO5BiWGvEpG9TyYSDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aa12012627a1d2a6ab3e7e35f2edbe888fcce6152ed17a92306bf8d93b9f905c","last_reissued_at":"2026-07-05T11:18:44.285846Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:18:44.285846Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.08063","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:18:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kYQrdpP2bP6bOdKNwGgqA7rbXC3+KmBqLhPZcGD6kUWeeK06ki5uCBdmYp4NUNTlqyejPYmjVplpSS3mieTLAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T17:24:48.281377Z"},"content_sha256":"ba9f09309266167eae2172c3010bcf53d507a621a1f9eae1746e151971c61f63","schema_version":"1.0","event_id":"sha256:ba9f09309266167eae2172c3010bcf53d507a621a1f9eae1746e151971c61f63"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:VIJACJRHUHJKNKZ6PY27F3N6RC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY","eess.SY"],"primary_cat":"cs.LG","authors_text":"Songqiao Hu, Xiao He, Zeyi Liu","submitted_at":"2025-06-09T09:42:57Z","abstract_excerpt":"The change in data distribution over time, also known as concept drift, poses a significant challenge to the reliability of online learning methods. Existing methods typically require model retraining or drift detection, both of which demand high computational costs and are often unsuitable for real-time applications. To address these limitations, a lightweight, fast and efficient random vector functional-link network termed Lite-RVFL is proposed, capable of adapting to concept drift without drift detection and retraining. Lite-RVFL introduces a novel objective function that assigns weights ex"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.08063","kind":"arxiv","version":1},"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/2506.08063/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":"2026-07-05T11:18:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"utUj0+J76Wkb/UvsWDWGyu9CPiKxLQAXZulINDwVdErOKNA+NvfFAFfi6iRPVQANxbPWNZXlXlqD8PTUn+qlBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T17:24:48.281869Z"},"content_sha256":"c2f0b24222f98268675f85c4fae2cc307a62daf7e049fdd18309dc31688db6c3","schema_version":"1.0","event_id":"sha256:c2f0b24222f98268675f85c4fae2cc307a62daf7e049fdd18309dc31688db6c3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VIJACJRHUHJKNKZ6PY27F3N6RC/bundle.json","state_url":"https://pith.science/pith/VIJACJRHUHJKNKZ6PY27F3N6RC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VIJACJRHUHJKNKZ6PY27F3N6RC/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":"2026-08-09T17:24:48Z","links":{"resolver":"https://pith.science/pith/VIJACJRHUHJKNKZ6PY27F3N6RC","bundle":"https://pith.science/pith/VIJACJRHUHJKNKZ6PY27F3N6RC/bundle.json","state":"https://pith.science/pith/VIJACJRHUHJKNKZ6PY27F3N6RC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VIJACJRHUHJKNKZ6PY27F3N6RC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VIJACJRHUHJKNKZ6PY27F3N6RC","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":"e184bc58bd054cc4bdb996ac70de987ee0903751d935cfdc37db872565e3126e","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-09T09:42:57Z","title_canon_sha256":"3658ae0ed67f07cf601c0ced5c5062fe440daf7c22b64e11ffda259645cf1cb8"},"schema_version":"1.0","source":{"id":"2506.08063","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.08063","created_at":"2026-07-05T11:18:44Z"},{"alias_kind":"arxiv_version","alias_value":"2506.08063v1","created_at":"2026-07-05T11:18:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.08063","created_at":"2026-07-05T11:18:44Z"},{"alias_kind":"pith_short_12","alias_value":"VIJACJRHUHJK","created_at":"2026-07-05T11:18:44Z"},{"alias_kind":"pith_short_16","alias_value":"VIJACJRHUHJKNKZ6","created_at":"2026-07-05T11:18:44Z"},{"alias_kind":"pith_short_8","alias_value":"VIJACJRH","created_at":"2026-07-05T11:18:44Z"}],"graph_snapshots":[{"event_id":"sha256:c2f0b24222f98268675f85c4fae2cc307a62daf7e049fdd18309dc31688db6c3","target":"graph","created_at":"2026-07-05T11:18:44Z","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/2506.08063/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The change in data distribution over time, also known as concept drift, poses a significant challenge to the reliability of online learning methods. Existing methods typically require model retraining or drift detection, both of which demand high computational costs and are often unsuitable for real-time applications. To address these limitations, a lightweight, fast and efficient random vector functional-link network termed Lite-RVFL is proposed, capable of adapting to concept drift without drift detection and retraining. Lite-RVFL introduces a novel objective function that assigns weights ex","authors_text":"Songqiao Hu, Xiao He, Zeyi Liu","cross_cats":["cs.SY","eess.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-09T09:42:57Z","title":"Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.08063","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:ba9f09309266167eae2172c3010bcf53d507a621a1f9eae1746e151971c61f63","target":"record","created_at":"2026-07-05T11:18:44Z","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":"e184bc58bd054cc4bdb996ac70de987ee0903751d935cfdc37db872565e3126e","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-09T09:42:57Z","title_canon_sha256":"3658ae0ed67f07cf601c0ced5c5062fe440daf7c22b64e11ffda259645cf1cb8"},"schema_version":"1.0","source":{"id":"2506.08063","kind":"arxiv","version":1}},"canonical_sha256":"aa12012627a1d2a6ab3e7e35f2edbe888fcce6152ed17a92306bf8d93b9f905c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aa12012627a1d2a6ab3e7e35f2edbe888fcce6152ed17a92306bf8d93b9f905c","first_computed_at":"2026-07-05T11:18:44.285846Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:18:44.285846Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"G+6r4PSKKk63HjAs9H6RODWapgYnA25SY2KZHSe1EBzRCNzCyF6qjMpcuSP0ZNniPT4NbO5BiWGvEpG9TyYSDw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:18:44.286330Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.08063","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ba9f09309266167eae2172c3010bcf53d507a621a1f9eae1746e151971c61f63","sha256:c2f0b24222f98268675f85c4fae2cc307a62daf7e049fdd18309dc31688db6c3"],"state_sha256":"89cb58aa3fc8e4fafe8a65f49c1b61161bb0f429bacf5626e95575ca1b84f3ba"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n2TuEoxJaPsqmihySguLDKxJT3nZgUF4DDbY8k4O66YQQemnRdg/5i84PFe19A3O87a40/74obCsgNaGgVVZCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T17:24:48.285446Z","bundle_sha256":"9bc94acec244eee50dfb2f5496bdb5df3cc0340f3da89485f5a6feb4f3a4cacd"}}