{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:73QCAOW5GHUENW5VP45KUBMPRZ","short_pith_number":"pith:73QCAOW5","canonical_record":{"source":{"id":"2503.10214","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-13T09:57:28Z","cross_cats_sorted":[],"title_canon_sha256":"3137921f5b538d96b3751d9399fe10a225915043acb05c3fdd1fb6fb5183c898","abstract_canon_sha256":"6c1dd064270963cb99996038c33b388bcdbc3e7af849cd4177243ddf51112290"},"schema_version":"1.0"},"canonical_sha256":"fee0203add31e846dbb57f3aaa058f8e7491504ed45289acaf3013c0dfa1f9b4","source":{"kind":"arxiv","id":"2503.10214","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.10214","created_at":"2026-07-05T10:30:40Z"},{"alias_kind":"arxiv_version","alias_value":"2503.10214v1","created_at":"2026-07-05T10:30:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.10214","created_at":"2026-07-05T10:30:40Z"},{"alias_kind":"pith_short_12","alias_value":"73QCAOW5GHUE","created_at":"2026-07-05T10:30:40Z"},{"alias_kind":"pith_short_16","alias_value":"73QCAOW5GHUENW5V","created_at":"2026-07-05T10:30:40Z"},{"alias_kind":"pith_short_8","alias_value":"73QCAOW5","created_at":"2026-07-05T10:30:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:73QCAOW5GHUENW5VP45KUBMPRZ","target":"record","payload":{"canonical_record":{"source":{"id":"2503.10214","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-13T09:57:28Z","cross_cats_sorted":[],"title_canon_sha256":"3137921f5b538d96b3751d9399fe10a225915043acb05c3fdd1fb6fb5183c898","abstract_canon_sha256":"6c1dd064270963cb99996038c33b388bcdbc3e7af849cd4177243ddf51112290"},"schema_version":"1.0"},"canonical_sha256":"fee0203add31e846dbb57f3aaa058f8e7491504ed45289acaf3013c0dfa1f9b4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:30:40.524393Z","signature_b64":"yS2Zets8+AAkpO2vhgrwqvZV6DpZSer0l96MlZNF10PLDa+UmYquqO/428wy2zqfR3jeLU2eiocaQGYSRmupCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fee0203add31e846dbb57f3aaa058f8e7491504ed45289acaf3013c0dfa1f9b4","last_reissued_at":"2026-07-05T10:30:40.523892Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:30:40.523892Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.10214","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":"2026-07-05T10:30:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hn6KfeT4463NPc4UDFJllHsLyXuQOSuWZ8X1KD3JP5vpe8+6DFhmRrg1ZwoBToNZfoiNK25vx16RYryyQ5JACA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T08:32:27.594310Z"},"content_sha256":"c6905d3672a7ad113ef2f5b7049983a102ee4cefd0e416cdb3d491e09bc66b6b","schema_version":"1.0","event_id":"sha256:c6905d3672a7ad113ef2f5b7049983a102ee4cefd0e416cdb3d491e09bc66b6b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:73QCAOW5GHUENW5VP45KUBMPRZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Singular Value Fine-tuning for Few-Shot Class-Incremental Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Deyu Meng, Haokun Lin, Qian Zhao, Quanziang Wang, Renzhen Wang, Yichen Wu, Zhiwu Wang","submitted_at":"2025-03-13T09:57:28Z","abstract_excerpt":"Class-Incremental Learning (CIL) aims to prevent catastrophic forgetting of previously learned classes while sequentially incorporating new ones. The more challenging Few-shot CIL (FSCIL) setting further complicates this by providing only a limited number of samples for each new class, increasing the risk of overfitting in addition to standard CIL challenges. While catastrophic forgetting has been extensively studied, overfitting in FSCIL, especially with large foundation models, has received less attention. To fill this gap, we propose the Singular Value Fine-tuning for FSCIL (SVFCL) and comp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.10214","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/2503.10214/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":"2026-07-05T10:30:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cvT20c20oJrb5pTlFC/08Da+/c9iCq5/n9La2kGr5xO5NbUBoMrotzx/I9V2vm4w+4+JsUP+jNu5Dz4csqSKBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T08:32:27.594814Z"},"content_sha256":"3a9d4e8f31c8cf8a48ef5677bb5efda8ce3d3490a805770af68fa68a2dbcc237","schema_version":"1.0","event_id":"sha256:3a9d4e8f31c8cf8a48ef5677bb5efda8ce3d3490a805770af68fa68a2dbcc237"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/73QCAOW5GHUENW5VP45KUBMPRZ/bundle.json","state_url":"https://pith.science/pith/73QCAOW5GHUENW5VP45KUBMPRZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/73QCAOW5GHUENW5VP45KUBMPRZ/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":"2026-08-08T08:32:27Z","links":{"resolver":"https://pith.science/pith/73QCAOW5GHUENW5VP45KUBMPRZ","bundle":"https://pith.science/pith/73QCAOW5GHUENW5VP45KUBMPRZ/bundle.json","state":"https://pith.science/pith/73QCAOW5GHUENW5VP45KUBMPRZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/73QCAOW5GHUENW5VP45KUBMPRZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:73QCAOW5GHUENW5VP45KUBMPRZ","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":"6c1dd064270963cb99996038c33b388bcdbc3e7af849cd4177243ddf51112290","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-13T09:57:28Z","title_canon_sha256":"3137921f5b538d96b3751d9399fe10a225915043acb05c3fdd1fb6fb5183c898"},"schema_version":"1.0","source":{"id":"2503.10214","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.10214","created_at":"2026-07-05T10:30:40Z"},{"alias_kind":"arxiv_version","alias_value":"2503.10214v1","created_at":"2026-07-05T10:30:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.10214","created_at":"2026-07-05T10:30:40Z"},{"alias_kind":"pith_short_12","alias_value":"73QCAOW5GHUE","created_at":"2026-07-05T10:30:40Z"},{"alias_kind":"pith_short_16","alias_value":"73QCAOW5GHUENW5V","created_at":"2026-07-05T10:30:40Z"},{"alias_kind":"pith_short_8","alias_value":"73QCAOW5","created_at":"2026-07-05T10:30:40Z"}],"graph_snapshots":[{"event_id":"sha256:3a9d4e8f31c8cf8a48ef5677bb5efda8ce3d3490a805770af68fa68a2dbcc237","target":"graph","created_at":"2026-07-05T10:30:40Z","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/2503.10214/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Class-Incremental Learning (CIL) aims to prevent catastrophic forgetting of previously learned classes while sequentially incorporating new ones. The more challenging Few-shot CIL (FSCIL) setting further complicates this by providing only a limited number of samples for each new class, increasing the risk of overfitting in addition to standard CIL challenges. While catastrophic forgetting has been extensively studied, overfitting in FSCIL, especially with large foundation models, has received less attention. To fill this gap, we propose the Singular Value Fine-tuning for FSCIL (SVFCL) and comp","authors_text":"Deyu Meng, Haokun Lin, Qian Zhao, Quanziang Wang, Renzhen Wang, Yichen Wu, Zhiwu Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-13T09:57:28Z","title":"Singular Value Fine-tuning for Few-Shot Class-Incremental Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.10214","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:c6905d3672a7ad113ef2f5b7049983a102ee4cefd0e416cdb3d491e09bc66b6b","target":"record","created_at":"2026-07-05T10:30:40Z","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":"6c1dd064270963cb99996038c33b388bcdbc3e7af849cd4177243ddf51112290","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-13T09:57:28Z","title_canon_sha256":"3137921f5b538d96b3751d9399fe10a225915043acb05c3fdd1fb6fb5183c898"},"schema_version":"1.0","source":{"id":"2503.10214","kind":"arxiv","version":1}},"canonical_sha256":"fee0203add31e846dbb57f3aaa058f8e7491504ed45289acaf3013c0dfa1f9b4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fee0203add31e846dbb57f3aaa058f8e7491504ed45289acaf3013c0dfa1f9b4","first_computed_at":"2026-07-05T10:30:40.523892Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:30:40.523892Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yS2Zets8+AAkpO2vhgrwqvZV6DpZSer0l96MlZNF10PLDa+UmYquqO/428wy2zqfR3jeLU2eiocaQGYSRmupCg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:30:40.524393Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.10214","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c6905d3672a7ad113ef2f5b7049983a102ee4cefd0e416cdb3d491e09bc66b6b","sha256:3a9d4e8f31c8cf8a48ef5677bb5efda8ce3d3490a805770af68fa68a2dbcc237"],"state_sha256":"a3d6edd0389c10c073267797364697f91bb49598c839f3203963c7a6933f9dac"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hfkC69bHyfxupu8orPDE5f8uNhFp4xw2eY2LrPkxXpaqOTQcHhMiDlau7Hc275voJObWxPfDb6PmNXN/x8KdCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T08:32:27.599596Z","bundle_sha256":"934f41fd5522fb101cdd33536f7a118c0634547781427aa319be8ed0e9a00b8a"}}