{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:4TGFFWENBAXVW5C5VEOWGBHHZV","short_pith_number":"pith:4TGFFWEN","canonical_record":{"source":{"id":"2505.15178","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-21T06:49:05Z","cross_cats_sorted":[],"title_canon_sha256":"a0714bcf771293236ba98429090639ffb8fb0127b865aedb142067db4027e8df","abstract_canon_sha256":"8fac1436bb986f8e78b373c069d2d7c2a978ce092f01f3fa75a1099b7d394d3f"},"schema_version":"1.0"},"canonical_sha256":"e4cc52d88d082f5b745da91d6304e7cd54fb0f8f4d2184aa397cfa6d8c5d30a5","source":{"kind":"arxiv","id":"2505.15178","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.15178","created_at":"2026-07-05T11:06:41Z"},{"alias_kind":"arxiv_version","alias_value":"2505.15178v1","created_at":"2026-07-05T11:06:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.15178","created_at":"2026-07-05T11:06:41Z"},{"alias_kind":"pith_short_12","alias_value":"4TGFFWENBAXV","created_at":"2026-07-05T11:06:41Z"},{"alias_kind":"pith_short_16","alias_value":"4TGFFWENBAXVW5C5","created_at":"2026-07-05T11:06:41Z"},{"alias_kind":"pith_short_8","alias_value":"4TGFFWEN","created_at":"2026-07-05T11:06:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:4TGFFWENBAXVW5C5VEOWGBHHZV","target":"record","payload":{"canonical_record":{"source":{"id":"2505.15178","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-21T06:49:05Z","cross_cats_sorted":[],"title_canon_sha256":"a0714bcf771293236ba98429090639ffb8fb0127b865aedb142067db4027e8df","abstract_canon_sha256":"8fac1436bb986f8e78b373c069d2d7c2a978ce092f01f3fa75a1099b7d394d3f"},"schema_version":"1.0"},"canonical_sha256":"e4cc52d88d082f5b745da91d6304e7cd54fb0f8f4d2184aa397cfa6d8c5d30a5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:06:41.719177Z","signature_b64":"fu5/zMGpFx8PXLgeleveFZp0d9Dv76/9d0sFs34e/qjw/UxNivnj0071Ou7IqQ1nw77CjKy168BiDhyecAg/Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e4cc52d88d082f5b745da91d6304e7cd54fb0f8f4d2184aa397cfa6d8c5d30a5","last_reissued_at":"2026-07-05T11:06:41.718715Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:06:41.718715Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.15178","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":"2026-07-05T11:06:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hvciAyAiRUzBTxVyRQNoPYdmVUMQgpDd/G9KkOw300e8h1cix3lg0R/OanYv6clxDBNd/Ow5wL95Y7SWzOg3Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T20:43:58.302169Z"},"content_sha256":"e889e4b039a53895cad9fa653aff8e074ae530641640c23361b025d11aee94d0","schema_version":"1.0","event_id":"sha256:e889e4b039a53895cad9fa653aff8e074ae530641640c23361b025d11aee94d0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:4TGFFWENBAXVW5C5VEOWGBHHZV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Haoran Wang, Jie Zhang, JingHao Zheng, Tao Li, Xiaolin Huang, Xinwen Cheng, Zhehao Huang, Zhengbao He","submitted_at":"2025-05-21T06:49:05Z","abstract_excerpt":"Recent advancements in deep models have highlighted the need for intelligent systems that combine continual learning (CL) for knowledge acquisition with machine unlearning (MU) for data removal, forming the Continual Learning-Unlearning (CLU) paradigm. While existing work treats CL and MU as separate processes, we reveal their intrinsic connection through a unified optimization framework based on Kullback-Leibler divergence minimization. This framework decomposes gradient updates for approximate CLU into four components: learning new knowledge, unlearning targeted data, preserving existing kno"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.15178","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/2505.15178/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":"2026-07-05T11:06:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2m5wY/qRExO1ENugVrRkjwb9ntmvXZav3WgY9SWHXg2EjDE5KBv2pVYDqqawi8UVlgA/yTGhP+vRsaORD7unBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T20:43:58.302603Z"},"content_sha256":"b072139f0b5121ef7f03e9333c9cb979b5d131377d767590afd2727f9491e4cb","schema_version":"1.0","event_id":"sha256:b072139f0b5121ef7f03e9333c9cb979b5d131377d767590afd2727f9491e4cb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4TGFFWENBAXVW5C5VEOWGBHHZV/bundle.json","state_url":"https://pith.science/pith/4TGFFWENBAXVW5C5VEOWGBHHZV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4TGFFWENBAXVW5C5VEOWGBHHZV/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":"2026-08-13T20:43:58Z","links":{"resolver":"https://pith.science/pith/4TGFFWENBAXVW5C5VEOWGBHHZV","bundle":"https://pith.science/pith/4TGFFWENBAXVW5C5VEOWGBHHZV/bundle.json","state":"https://pith.science/pith/4TGFFWENBAXVW5C5VEOWGBHHZV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4TGFFWENBAXVW5C5VEOWGBHHZV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:4TGFFWENBAXVW5C5VEOWGBHHZV","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":"8fac1436bb986f8e78b373c069d2d7c2a978ce092f01f3fa75a1099b7d394d3f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-21T06:49:05Z","title_canon_sha256":"a0714bcf771293236ba98429090639ffb8fb0127b865aedb142067db4027e8df"},"schema_version":"1.0","source":{"id":"2505.15178","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.15178","created_at":"2026-07-05T11:06:41Z"},{"alias_kind":"arxiv_version","alias_value":"2505.15178v1","created_at":"2026-07-05T11:06:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.15178","created_at":"2026-07-05T11:06:41Z"},{"alias_kind":"pith_short_12","alias_value":"4TGFFWENBAXV","created_at":"2026-07-05T11:06:41Z"},{"alias_kind":"pith_short_16","alias_value":"4TGFFWENBAXVW5C5","created_at":"2026-07-05T11:06:41Z"},{"alias_kind":"pith_short_8","alias_value":"4TGFFWEN","created_at":"2026-07-05T11:06:41Z"}],"graph_snapshots":[{"event_id":"sha256:b072139f0b5121ef7f03e9333c9cb979b5d131377d767590afd2727f9491e4cb","target":"graph","created_at":"2026-07-05T11:06:41Z","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/2505.15178/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancements in deep models have highlighted the need for intelligent systems that combine continual learning (CL) for knowledge acquisition with machine unlearning (MU) for data removal, forming the Continual Learning-Unlearning (CLU) paradigm. While existing work treats CL and MU as separate processes, we reveal their intrinsic connection through a unified optimization framework based on Kullback-Leibler divergence minimization. This framework decomposes gradient updates for approximate CLU into four components: learning new knowledge, unlearning targeted data, preserving existing kno","authors_text":"Haoran Wang, Jie Zhang, JingHao Zheng, Tao Li, Xiaolin Huang, Xinwen Cheng, Zhehao Huang, Zhengbao He","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-21T06:49:05Z","title":"A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.15178","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:e889e4b039a53895cad9fa653aff8e074ae530641640c23361b025d11aee94d0","target":"record","created_at":"2026-07-05T11:06:41Z","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":"8fac1436bb986f8e78b373c069d2d7c2a978ce092f01f3fa75a1099b7d394d3f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-21T06:49:05Z","title_canon_sha256":"a0714bcf771293236ba98429090639ffb8fb0127b865aedb142067db4027e8df"},"schema_version":"1.0","source":{"id":"2505.15178","kind":"arxiv","version":1}},"canonical_sha256":"e4cc52d88d082f5b745da91d6304e7cd54fb0f8f4d2184aa397cfa6d8c5d30a5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e4cc52d88d082f5b745da91d6304e7cd54fb0f8f4d2184aa397cfa6d8c5d30a5","first_computed_at":"2026-07-05T11:06:41.718715Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:06:41.718715Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fu5/zMGpFx8PXLgeleveFZp0d9Dv76/9d0sFs34e/qjw/UxNivnj0071Ou7IqQ1nw77CjKy168BiDhyecAg/Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:06:41.719177Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.15178","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e889e4b039a53895cad9fa653aff8e074ae530641640c23361b025d11aee94d0","sha256:b072139f0b5121ef7f03e9333c9cb979b5d131377d767590afd2727f9491e4cb"],"state_sha256":"4762e241e27865842cecfa51dcb8534a931e5a292558c6ebd99b019d1eea5bc1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AUAjDDCSHKdItqMb3KNVpJl8uQcBZ0TeLHbcpx6ovoBzjpxYJdPSl2ufR2NGso0frDI24EUbIOlbYM31CpP6DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T20:43:58.318370Z","bundle_sha256":"28755b810ce9448d647fff83fca71b2933e2d43f8b76c1c2b5f8d05aeb92efe2"}}