{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:R2SHOSUMKBDEG7RP46C3EZUQML","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":"db48654247272f07d6a6c5a3ec29ed31e66ab482bac4e2f24ca23060b1540af8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-03-11T16:23:38Z","title_canon_sha256":"587239132a6faaa96fcf72a65f58a47d55597684ca026bfa20db401b661f3b96"},"schema_version":"1.0","source":{"id":"2403.06870","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.06870","created_at":"2026-07-05T08:45:26Z"},{"alias_kind":"arxiv_version","alias_value":"2403.06870v3","created_at":"2026-07-05T08:45:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.06870","created_at":"2026-07-05T08:45:26Z"},{"alias_kind":"pith_short_12","alias_value":"R2SHOSUMKBDE","created_at":"2026-07-05T08:45:26Z"},{"alias_kind":"pith_short_16","alias_value":"R2SHOSUMKBDEG7RP","created_at":"2026-07-05T08:45:26Z"},{"alias_kind":"pith_short_8","alias_value":"R2SHOSUM","created_at":"2026-07-05T08:45:26Z"}],"graph_snapshots":[{"event_id":"sha256:cf82df0b59ab519104cdb1780737afcec93ac473aec202529bfa2b7fbed8628f","target":"graph","created_at":"2026-07-05T08:45:26Z","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/2403.06870/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Prompt-tuning methods for Continual Learning (CL) freeze a large pre-trained model and train a few parameter vectors termed prompts. Most of these methods organize these vectors in a pool of key-value pairs and use the input image as query to retrieve the prompts (values). However, as keys are learned while tasks progress, the prompting selection strategy is itself subject to catastrophic forgetting, an issue often overlooked by existing approaches. For instance, prompts introduced to accommodate new tasks might end up interfering with previously learned prompts. To make the selection strategy","authors_text":"Angelo Porrello, Emanuele Frascaroli, Enver Sangineto, Lorenzo Bonicelli, Martin Menabue, Matteo Boschini, Simone Calderara","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-03-11T16:23:38Z","title":"Semantic Residual Prompts for Continual Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.06870","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:ed70f303030fe6b4de150a4715e0008b44b08288353784f375fdba0be0c28701","target":"record","created_at":"2026-07-05T08:45:26Z","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":"db48654247272f07d6a6c5a3ec29ed31e66ab482bac4e2f24ca23060b1540af8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-03-11T16:23:38Z","title_canon_sha256":"587239132a6faaa96fcf72a65f58a47d55597684ca026bfa20db401b661f3b96"},"schema_version":"1.0","source":{"id":"2403.06870","kind":"arxiv","version":3}},"canonical_sha256":"8ea4774a8c5046437e2fe785b2669062d8d7016e5738d9be83169592695f507c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8ea4774a8c5046437e2fe785b2669062d8d7016e5738d9be83169592695f507c","first_computed_at":"2026-07-05T08:45:26.064493Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:45:26.064493Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ADRm+vBJzIavvadk2mfnE9GBIU6HjvxKI2+6aMa6X3d7HSJWIjMItga480krtgWjCwBEy/5v8XKnGThddSKuAA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:45:26.064917Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.06870","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ed70f303030fe6b4de150a4715e0008b44b08288353784f375fdba0be0c28701","sha256:cf82df0b59ab519104cdb1780737afcec93ac473aec202529bfa2b7fbed8628f"],"state_sha256":"a4b6ad44149c7fbc5a8e3d7b35d1e0c6585ce306dd4a51c4ad063f3fa6ef3107"}