{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:BPGCXKO4JDFGZCCDKRG6ALATZB","short_pith_number":"pith:BPGCXKO4","schema_version":"1.0","canonical_sha256":"0bcc2ba9dc48ca6c8843544de02c13c84b278b38c953284bfbbf547261adb6c7","source":{"kind":"arxiv","id":"2507.23436","version":1},"attestation_state":"computed","paper":{"title":"Beyond Linear Bottlenecks: Spline-Based Knowledge Distillation for Culturally Diverse Art Style Classification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Abdellah Zakaria Sellam, Abdelmalik Taleb-Ahmed, Cosimo Distante, Salah Eddine Bekhouche","submitted_at":"2025-07-31T11:16:00Z","abstract_excerpt":"Art style classification remains a formidable challenge in computational aesthetics due to the scarcity of expertly labeled datasets and the intricate, often nonlinear interplay of stylistic elements. While recent dual-teacher self-supervised frameworks reduce reliance on labeled data, their linear projection layers and localized focus struggle to model global compositional context and complex style-feature interactions. We enhance the dual-teacher knowledge distillation framework to address these limitations by replacing conventional MLP projection and prediction heads with Kolmogorov-Arnold "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2507.23436","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-31T11:16:00Z","cross_cats_sorted":[],"title_canon_sha256":"2e5df001e335353c76c9deaee574e3aa1c0d73a5de260fbc94bbc634b7376382","abstract_canon_sha256":"c99259ad56c8025b76ec3615551215e31ca6d1cc52e74fd0a454c47ad6fd3da9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:46:12.331901Z","signature_b64":"CMVwljNk6ZevNX6gPV4wYZs1ntlIt2lIcTTD+SPBHa4lLJIiBOdrOLbAx/+jZv+tXyvNxnJkhWTsWmdiUPCOAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0bcc2ba9dc48ca6c8843544de02c13c84b278b38c953284bfbbf547261adb6c7","last_reissued_at":"2026-07-05T11:46:12.331490Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:46:12.331490Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Beyond Linear Bottlenecks: Spline-Based Knowledge Distillation for Culturally Diverse Art Style Classification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Abdellah Zakaria Sellam, Abdelmalik Taleb-Ahmed, Cosimo Distante, Salah Eddine Bekhouche","submitted_at":"2025-07-31T11:16:00Z","abstract_excerpt":"Art style classification remains a formidable challenge in computational aesthetics due to the scarcity of expertly labeled datasets and the intricate, often nonlinear interplay of stylistic elements. While recent dual-teacher self-supervised frameworks reduce reliance on labeled data, their linear projection layers and localized focus struggle to model global compositional context and complex style-feature interactions. We enhance the dual-teacher knowledge distillation framework to address these limitations by replacing conventional MLP projection and prediction heads with Kolmogorov-Arnold "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.23436","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/2507.23436/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2507.23436","created_at":"2026-07-05T11:46:12.331553+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.23436v1","created_at":"2026-07-05T11:46:12.331553+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.23436","created_at":"2026-07-05T11:46:12.331553+00:00"},{"alias_kind":"pith_short_12","alias_value":"BPGCXKO4JDFG","created_at":"2026-07-05T11:46:12.331553+00:00"},{"alias_kind":"pith_short_16","alias_value":"BPGCXKO4JDFGZCCD","created_at":"2026-07-05T11:46:12.331553+00:00"},{"alias_kind":"pith_short_8","alias_value":"BPGCXKO4","created_at":"2026-07-05T11:46:12.331553+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/BPGCXKO4JDFGZCCDKRG6ALATZB","json":"https://pith.science/pith/BPGCXKO4JDFGZCCDKRG6ALATZB.json","graph_json":"https://pith.science/api/pith-number/BPGCXKO4JDFGZCCDKRG6ALATZB/graph.json","events_json":"https://pith.science/api/pith-number/BPGCXKO4JDFGZCCDKRG6ALATZB/events.json","paper":"https://pith.science/paper/BPGCXKO4"},"agent_actions":{"view_html":"https://pith.science/pith/BPGCXKO4JDFGZCCDKRG6ALATZB","download_json":"https://pith.science/pith/BPGCXKO4JDFGZCCDKRG6ALATZB.json","view_paper":"https://pith.science/paper/BPGCXKO4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.23436&json=true","fetch_graph":"https://pith.science/api/pith-number/BPGCXKO4JDFGZCCDKRG6ALATZB/graph.json","fetch_events":"https://pith.science/api/pith-number/BPGCXKO4JDFGZCCDKRG6ALATZB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BPGCXKO4JDFGZCCDKRG6ALATZB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BPGCXKO4JDFGZCCDKRG6ALATZB/action/storage_attestation","attest_author":"https://pith.science/pith/BPGCXKO4JDFGZCCDKRG6ALATZB/action/author_attestation","sign_citation":"https://pith.science/pith/BPGCXKO4JDFGZCCDKRG6ALATZB/action/citation_signature","submit_replication":"https://pith.science/pith/BPGCXKO4JDFGZCCDKRG6ALATZB/action/replication_record"}},"created_at":"2026-07-05T11:46:12.331553+00:00","updated_at":"2026-07-05T11:46:12.331553+00:00"}