{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:LAEOYYRHVT6YLKPDAXGQR2G7FA","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":"769945c003f1900799ce46ec338bc71ba7a855a14ecb33e8728244be4c471690","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-14T14:37:50Z","title_canon_sha256":"6dede2f5090499c5eccea9195b931d00ebfc92e1a3f9902155e3bdba2fecc229"},"schema_version":"1.0","source":{"id":"2605.14893","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.14893","created_at":"2026-05-17T23:38:55Z"},{"alias_kind":"arxiv_version","alias_value":"2605.14893v1","created_at":"2026-05-17T23:38:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.14893","created_at":"2026-05-17T23:38:55Z"},{"alias_kind":"pith_short_12","alias_value":"LAEOYYRHVT6Y","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"LAEOYYRHVT6YLKPD","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"LAEOYYRH","created_at":"2026-05-18T12:33:37Z"}],"graph_snapshots":[{"event_id":"sha256:876ffa2162406ef1ba293d97fb514c7e76e600bfab83a0317fa93b527a003fb1","target":"graph","created_at":"2026-05-17T23:38:55Z","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"},"paper":{"abstract_excerpt":"Contrastively pre-trained Vision-Language Models (VLMs) serve as powerful feature extractors. Yet, their shared latent spaces are prone to structural anomalies and act as repositories for non-semantic, multi-modal noise. To address this phenomenon, we employ spectral decomposition of covariance matrices to decompose the VLM latent space into a multi-modal semantic signal component and a shared noise subspace. We observe that this noise geometry exhibits strong subgroup invariance across distinct data subsets. Crucially, pruning these shared noise dimensions is mainly harmless, preserving or ac","authors_text":"Dawid P{\\l}udowski, Jakub Grzywaczewski, Przemys{\\l}aw Biecek","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-14T14:37:50Z","title":"Your CLIP has 164 dimensions of noise: Exploring the embeddings covariance eigenspectrum of contrastively pretrained vision-language transformers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.14893","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:c3cfa708fa9492da0234cfde33c98dd3c0fa66902290fc6e1b3a5c5fce3649aa","target":"record","created_at":"2026-05-17T23:38:55Z","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":"769945c003f1900799ce46ec338bc71ba7a855a14ecb33e8728244be4c471690","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-14T14:37:50Z","title_canon_sha256":"6dede2f5090499c5eccea9195b931d00ebfc92e1a3f9902155e3bdba2fecc229"},"schema_version":"1.0","source":{"id":"2605.14893","kind":"arxiv","version":1}},"canonical_sha256":"5808ec6227acfd85a9e305cd08e8df2804827d843f836d9cec1d1b1aeff73193","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5808ec6227acfd85a9e305cd08e8df2804827d843f836d9cec1d1b1aeff73193","first_computed_at":"2026-05-17T23:38:55.919824Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:38:55.919824Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"icPicJ1t+oh1U/UXd1CI4YthCZNmk5vq7AyAub0ab8EgmwvbkW8Z27GjyKO6DNJXBNVtgUgVrxsdbR3Mr3aaCg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:38:55.920498Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.14893","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c3cfa708fa9492da0234cfde33c98dd3c0fa66902290fc6e1b3a5c5fce3649aa","sha256:876ffa2162406ef1ba293d97fb514c7e76e600bfab83a0317fa93b527a003fb1"],"state_sha256":"4c5fe81b753d25daaecc75c563a20ee0f0b85f16df3ec8dbfa99e6ed777fe6dc"}