{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:PRMMFBUMYL3HHPNYXALCDF3BB2","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":"3e28d5902f8938b024bcb3ffb6ef554f91f82e8479f5d173a97673363acf6510","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-17T19:22:04Z","title_canon_sha256":"fcc156cbc985b8f359400a35498f5ccc9e58bd3b775f0adcdfd5809633e1ad8a"},"schema_version":"1.0","source":{"id":"2406.12042","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.12042","created_at":"2026-07-05T10:12:17Z"},{"alias_kind":"arxiv_version","alias_value":"2406.12042v3","created_at":"2026-07-05T10:12:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.12042","created_at":"2026-07-05T10:12:17Z"},{"alias_kind":"pith_short_12","alias_value":"PRMMFBUMYL3H","created_at":"2026-07-05T10:12:17Z"},{"alias_kind":"pith_short_16","alias_value":"PRMMFBUMYL3HHPNY","created_at":"2026-07-05T10:12:17Z"},{"alias_kind":"pith_short_8","alias_value":"PRMMFBUM","created_at":"2026-07-05T10:12:17Z"}],"graph_snapshots":[{"event_id":"sha256:9253bc2d3a60722501d8a18e33a29a1dc42b2c316251394130cd820d38e6ea1e","target":"graph","created_at":"2026-07-05T10:12:17Z","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/2406.12042/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Text-to-image (T2I) diffusion models have demonstrated impressive image generation capabilities. Still, their computational intensity prohibits resource-constrained organizations from deploying T2I models after fine-tuning them on their internal target data. While pruning techniques offer a potential solution to reduce the computational burden of T2I models, static pruning methods use the same pruned model for all input prompts, overlooking the varying capacity requirements of different prompts. Dynamic pruning addresses this issue by utilizing a separate sub-network for each prompt, but it pr","authors_text":"Alireza Ganjdanesh, Heng Huang, Reza Shirkavand, Shangqian Gao","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-17T19:22:04Z","title":"Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.12042","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":"sha256:6f500cc53d7b55fde4209b2afb45386786a492afb418b105eb06ac1c8818d9ec","target":"record","created_at":"2026-07-05T10:12:17Z","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":"3e28d5902f8938b024bcb3ffb6ef554f91f82e8479f5d173a97673363acf6510","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-17T19:22:04Z","title_canon_sha256":"fcc156cbc985b8f359400a35498f5ccc9e58bd3b775f0adcdfd5809633e1ad8a"},"schema_version":"1.0","source":{"id":"2406.12042","kind":"arxiv","version":3}},"canonical_sha256":"7c58c2868cc2f673bdb8b8162197610e95c4f9475a6552eb1b9cebea6ddc0145","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7c58c2868cc2f673bdb8b8162197610e95c4f9475a6552eb1b9cebea6ddc0145","first_computed_at":"2026-07-05T10:12:17.316135Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:12:17.316135Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"D/iLrCXNdfHP5hHhlFPXs5PvCedgU0DXcyEJct1gypdYAUyDVh9wL8x0/x6biDCiHicZpK2A5ToWJqSIAbHPCw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:12:17.316686Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.12042","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6f500cc53d7b55fde4209b2afb45386786a492afb418b105eb06ac1c8818d9ec","sha256:9253bc2d3a60722501d8a18e33a29a1dc42b2c316251394130cd820d38e6ea1e"],"state_sha256":"a15c62113c02d2272ff3ab41e68c572e4a7c8bedb75e1c31a05efc9793c94648"}