{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:OZVD2OSKX5UZTCS3PZCDBFQUTL","short_pith_number":"pith:OZVD2OSK","canonical_record":{"source":{"id":"2606.01863","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-01T08:13:33Z","cross_cats_sorted":["math-ph","math.MP"],"title_canon_sha256":"37997045eab7f8e3707daf2922467917fb27676a28e66a40f8b2a122be827da9","abstract_canon_sha256":"7cd059fd60852cc7ffea5e2ec53be749d9ea68100aaaae653a2eac2e9db95e0c"},"schema_version":"1.0"},"canonical_sha256":"766a3d3a4abf69998a5b7e443096149adcc620c4e21ec41ed2c11b1ccaf16d6d","source":{"kind":"arxiv","id":"2606.01863","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.01863","created_at":"2026-06-02T02:04:58Z"},{"alias_kind":"arxiv_version","alias_value":"2606.01863v1","created_at":"2026-06-02T02:04:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.01863","created_at":"2026-06-02T02:04:58Z"},{"alias_kind":"pith_short_12","alias_value":"OZVD2OSKX5UZ","created_at":"2026-06-02T02:04:58Z"},{"alias_kind":"pith_short_16","alias_value":"OZVD2OSKX5UZTCS3","created_at":"2026-06-02T02:04:58Z"},{"alias_kind":"pith_short_8","alias_value":"OZVD2OSK","created_at":"2026-06-02T02:04:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:OZVD2OSKX5UZTCS3PZCDBFQUTL","target":"record","payload":{"canonical_record":{"source":{"id":"2606.01863","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-01T08:13:33Z","cross_cats_sorted":["math-ph","math.MP"],"title_canon_sha256":"37997045eab7f8e3707daf2922467917fb27676a28e66a40f8b2a122be827da9","abstract_canon_sha256":"7cd059fd60852cc7ffea5e2ec53be749d9ea68100aaaae653a2eac2e9db95e0c"},"schema_version":"1.0"},"canonical_sha256":"766a3d3a4abf69998a5b7e443096149adcc620c4e21ec41ed2c11b1ccaf16d6d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T02:04:58.958601Z","signature_b64":"VraV9j49GT2i9cAOKbH54yKdJevl6xb4u5+1gHGVXoggqP/+V/wnXUScqj/keg9lUj0QVylrWX8ikCCVSFEOAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"766a3d3a4abf69998a5b7e443096149adcc620c4e21ec41ed2c11b1ccaf16d6d","last_reissued_at":"2026-06-02T02:04:58.958215Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T02:04:58.958215Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.01863","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":"2026-06-02T02:04:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ocfqzPFxj/4AdNA9rm3g/g1i5f9iEHc4Xs/x916odTHv0hfTZqsxB9yFb69IYaZTzpsh2wKSV022nRMrNkfwBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-11T01:38:30.528829Z"},"content_sha256":"3972556a0fd5d19958c3b48d361620acb5f5f353d500344b3ddcb501b518ea29","schema_version":"1.0","event_id":"sha256:3972556a0fd5d19958c3b48d361620acb5f5f353d500344b3ddcb501b518ea29"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:OZVD2OSKX5UZTCS3PZCDBFQUTL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Continual Learning as a Multiphase Moving-Boundary Problem","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math-ph","math.MP"],"primary_cat":"cs.LG","authors_text":"Snigdha Chandan Khilar","submitted_at":"2026-06-01T08:13:33Z","abstract_excerpt":"Continual learning struggles to balance retaining past knowledge with absorbing new tasks. Stefan-CL elegantly resolves this stability-plasticity dilemma through the physics of melting. It frames consolidated knowledge as a protected \"solid\" and unused capacity as an adaptable \"liquid.\" As the network learns, this boundary expands, governed by a \"latent heat\" tuning dial. By mathematically freezing the learned interior, Stefan-CL cuts forgetting to near zero, matching memory-heavy baselines without storing raw data, forging a beautiful, physics-grounded path for AI."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.01863","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/2606.01863/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":"2026-06-02T02:04:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q6m82rRnKYk3K89reZAVv0mtzH8fMqQ2Usg0/GT2LXfCgB85DSUfngBF4cbCRZ2AE8QeHY1jCugNC4QaefszCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-11T01:38:30.529466Z"},"content_sha256":"9036b0972e0571fbee9129f5e02d9c1802e453bd6e72702444cc6368fdd73189","schema_version":"1.0","event_id":"sha256:9036b0972e0571fbee9129f5e02d9c1802e453bd6e72702444cc6368fdd73189"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OZVD2OSKX5UZTCS3PZCDBFQUTL/bundle.json","state_url":"https://pith.science/pith/OZVD2OSKX5UZTCS3PZCDBFQUTL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OZVD2OSKX5UZTCS3PZCDBFQUTL/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":"2026-07-11T01:38:30Z","links":{"resolver":"https://pith.science/pith/OZVD2OSKX5UZTCS3PZCDBFQUTL","bundle":"https://pith.science/pith/OZVD2OSKX5UZTCS3PZCDBFQUTL/bundle.json","state":"https://pith.science/pith/OZVD2OSKX5UZTCS3PZCDBFQUTL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OZVD2OSKX5UZTCS3PZCDBFQUTL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:OZVD2OSKX5UZTCS3PZCDBFQUTL","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":"7cd059fd60852cc7ffea5e2ec53be749d9ea68100aaaae653a2eac2e9db95e0c","cross_cats_sorted":["math-ph","math.MP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-01T08:13:33Z","title_canon_sha256":"37997045eab7f8e3707daf2922467917fb27676a28e66a40f8b2a122be827da9"},"schema_version":"1.0","source":{"id":"2606.01863","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.01863","created_at":"2026-06-02T02:04:58Z"},{"alias_kind":"arxiv_version","alias_value":"2606.01863v1","created_at":"2026-06-02T02:04:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.01863","created_at":"2026-06-02T02:04:58Z"},{"alias_kind":"pith_short_12","alias_value":"OZVD2OSKX5UZ","created_at":"2026-06-02T02:04:58Z"},{"alias_kind":"pith_short_16","alias_value":"OZVD2OSKX5UZTCS3","created_at":"2026-06-02T02:04:58Z"},{"alias_kind":"pith_short_8","alias_value":"OZVD2OSK","created_at":"2026-06-02T02:04:58Z"}],"graph_snapshots":[{"event_id":"sha256:9036b0972e0571fbee9129f5e02d9c1802e453bd6e72702444cc6368fdd73189","target":"graph","created_at":"2026-06-02T02:04:58Z","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/2606.01863/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Continual learning struggles to balance retaining past knowledge with absorbing new tasks. Stefan-CL elegantly resolves this stability-plasticity dilemma through the physics of melting. It frames consolidated knowledge as a protected \"solid\" and unused capacity as an adaptable \"liquid.\" As the network learns, this boundary expands, governed by a \"latent heat\" tuning dial. By mathematically freezing the learned interior, Stefan-CL cuts forgetting to near zero, matching memory-heavy baselines without storing raw data, forging a beautiful, physics-grounded path for AI.","authors_text":"Snigdha Chandan Khilar","cross_cats":["math-ph","math.MP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-01T08:13:33Z","title":"Continual Learning as a Multiphase Moving-Boundary Problem"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.01863","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":"sha256:3972556a0fd5d19958c3b48d361620acb5f5f353d500344b3ddcb501b518ea29","target":"record","created_at":"2026-06-02T02:04:58Z","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":"7cd059fd60852cc7ffea5e2ec53be749d9ea68100aaaae653a2eac2e9db95e0c","cross_cats_sorted":["math-ph","math.MP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-01T08:13:33Z","title_canon_sha256":"37997045eab7f8e3707daf2922467917fb27676a28e66a40f8b2a122be827da9"},"schema_version":"1.0","source":{"id":"2606.01863","kind":"arxiv","version":1}},"canonical_sha256":"766a3d3a4abf69998a5b7e443096149adcc620c4e21ec41ed2c11b1ccaf16d6d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"766a3d3a4abf69998a5b7e443096149adcc620c4e21ec41ed2c11b1ccaf16d6d","first_computed_at":"2026-06-02T02:04:58.958215Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T02:04:58.958215Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VraV9j49GT2i9cAOKbH54yKdJevl6xb4u5+1gHGVXoggqP/+V/wnXUScqj/keg9lUj0QVylrWX8ikCCVSFEOAQ==","signature_status":"signed_v1","signed_at":"2026-06-02T02:04:58.958601Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.01863","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3972556a0fd5d19958c3b48d361620acb5f5f353d500344b3ddcb501b518ea29","sha256:9036b0972e0571fbee9129f5e02d9c1802e453bd6e72702444cc6368fdd73189"],"state_sha256":"1cf2cd2bc38a8bf5110451639eab2eba0dc9e1a00c4e716a25c99e45d6e4ed59"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C8Od5yB3JopL7koGib+LBtMrpTynLoRANvV2UZ9z7uuiApXh7gPwatKSXNHzjG0riH7ea5cqnHTcRfX6CqjwCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-11T01:38:30.532786Z","bundle_sha256":"f1681045c2ec82fdf9f6a7016eb1906a5ce96a83433b2d57bddb68cea18b2309"}}