{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:EJGYZS4YZHSNQLCFQUKIPCW5UO","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":"b5251b675aa10f75c12d499215d1f5793edbb4668e7c4f3a9587f6290306ddec","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-07-26T07:22:12Z","title_canon_sha256":"4a667dcca55d2402dd18d3ec72380fa32fe6e68e6f38c3be7a7606d17586d687"},"schema_version":"1.0","source":{"id":"2507.19839","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.19839","created_at":"2026-07-05T11:43:43Z"},{"alias_kind":"arxiv_version","alias_value":"2507.19839v1","created_at":"2026-07-05T11:43:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.19839","created_at":"2026-07-05T11:43:43Z"},{"alias_kind":"pith_short_12","alias_value":"EJGYZS4YZHSN","created_at":"2026-07-05T11:43:43Z"},{"alias_kind":"pith_short_16","alias_value":"EJGYZS4YZHSNQLCF","created_at":"2026-07-05T11:43:43Z"},{"alias_kind":"pith_short_8","alias_value":"EJGYZS4Y","created_at":"2026-07-05T11:43:43Z"}],"graph_snapshots":[{"event_id":"sha256:dea92afac2a7935be2cbf733cb94513834e8c932050b07d93e5c34bdc2d97b46","target":"graph","created_at":"2026-07-05T11:43:43Z","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/2507.19839/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Contrastive Language-Image Pretraining has demonstrated remarkable zero-shot generalization by aligning visual and textual modalities in a shared embedding space. However, when continuously fine-tuned on diverse tasks, CLIP suffers from catastrophic forgetting and degradation of its embedding alignment, undermining its zero-shot capabilities. In this work, we propose Gradient Null Space Projection (GNSP), an efficient continual learning method that projects task-specific gradients onto the null space of previously learned knowledge. This orthogonal projection mathematically prevents interferen","authors_text":"Qiuhe Hong, Shuo Yang, Tiantian Peng, Yonghong Tian, Yuyang Liu","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-07-26T07:22:12Z","title":"GNSP: Gradient Null Space Projection for Preserving Cross-Modal Alignment in VLMs Continual Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.19839","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:f8022f89c98ccdb1fd217a78acbd28cf74558286ac49fc49e0f7611d9303c4a6","target":"record","created_at":"2026-07-05T11:43:43Z","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":"b5251b675aa10f75c12d499215d1f5793edbb4668e7c4f3a9587f6290306ddec","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-07-26T07:22:12Z","title_canon_sha256":"4a667dcca55d2402dd18d3ec72380fa32fe6e68e6f38c3be7a7606d17586d687"},"schema_version":"1.0","source":{"id":"2507.19839","kind":"arxiv","version":1}},"canonical_sha256":"224d8ccb98c9e4d82c458514878adda3a85b149af462fe7d3a51c78f78ce1091","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"224d8ccb98c9e4d82c458514878adda3a85b149af462fe7d3a51c78f78ce1091","first_computed_at":"2026-07-05T11:43:43.005159Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:43:43.005159Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"a/I9C1PUBGekVhGOgKJ4YMez5RXcz+uHF7TH5kyJP2XLdQwlZ9FQGQy6XKkwIMd/QLWQbmTQMMgLWl0IeRuoBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:43:43.005587Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.19839","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f8022f89c98ccdb1fd217a78acbd28cf74558286ac49fc49e0f7611d9303c4a6","sha256:dea92afac2a7935be2cbf733cb94513834e8c932050b07d93e5c34bdc2d97b46"],"state_sha256":"f66a2e840c249a3278678b806f59a4bfc677e64c590e5727ba2974a11266d75b"}