{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:A2UC6QHZ4JMVJBGNQVNQON7MYO","short_pith_number":"pith:A2UC6QHZ","schema_version":"1.0","canonical_sha256":"06a82f40f9e2595484cd855b0737ecc3b7270ad3d0edb9d5b2597caa121501fa","source":{"kind":"arxiv","id":"2406.09413","version":3},"attestation_state":"computed","paper":{"title":"Interpreting the Weight Space of Customized Diffusion Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.GR","cs.LG"],"primary_cat":"cs.CV","authors_text":"Alexei A. Efros, Amil Dravid, Gordon Wetzstein, Kfir Aberman, Kuan-Chieh Wang, Rameen Abdal, Yossi Gandelsman","submitted_at":"2024-06-13T17:59:56Z","abstract_excerpt":"We investigate the space of weights spanned by a large collection of customized diffusion models. We populate this space by creating a dataset of over 60,000 models, each of which is a base model fine-tuned to insert a different person's visual identity. We model the underlying manifold of these weights as a subspace, which we term weights2weights. We demonstrate three immediate applications of this space that result in new diffusion models -- sampling, editing, and inversion. First, sampling a set of weights from this space results in a new model encoding a novel identity. Next, we find linea"},"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":"2406.09413","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-13T17:59:56Z","cross_cats_sorted":["cs.GR","cs.LG"],"title_canon_sha256":"3ddc825e538df2c5ed3f569a6d67f64f23e06be9713d37478303870da762efb1","abstract_canon_sha256":"8e353996c5c8eeae19242a45531c7175db096a5a494d09dca862a082a98bf9c0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:38:49.440839Z","signature_b64":"dkoIFHy84/Zu0BMtM/OCsDarmbj72UeLCcvVGoCpkMxgocMUkANw0MVc2i1Bae/b733ywbGvuW/viZRnJgdKCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"06a82f40f9e2595484cd855b0737ecc3b7270ad3d0edb9d5b2597caa121501fa","last_reissued_at":"2026-07-05T09:38:49.440327Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:38:49.440327Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Interpreting the Weight Space of Customized Diffusion Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.GR","cs.LG"],"primary_cat":"cs.CV","authors_text":"Alexei A. Efros, Amil Dravid, Gordon Wetzstein, Kfir Aberman, Kuan-Chieh Wang, Rameen Abdal, Yossi Gandelsman","submitted_at":"2024-06-13T17:59:56Z","abstract_excerpt":"We investigate the space of weights spanned by a large collection of customized diffusion models. We populate this space by creating a dataset of over 60,000 models, each of which is a base model fine-tuned to insert a different person's visual identity. We model the underlying manifold of these weights as a subspace, which we term weights2weights. We demonstrate three immediate applications of this space that result in new diffusion models -- sampling, editing, and inversion. First, sampling a set of weights from this space results in a new model encoding a novel identity. Next, we find linea"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.09413","kind":"arxiv","version":3},"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/2406.09413/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":"2406.09413","created_at":"2026-07-05T09:38:49.440388+00:00"},{"alias_kind":"arxiv_version","alias_value":"2406.09413v3","created_at":"2026-07-05T09:38:49.440388+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.09413","created_at":"2026-07-05T09:38:49.440388+00:00"},{"alias_kind":"pith_short_12","alias_value":"A2UC6QHZ4JMV","created_at":"2026-07-05T09:38:49.440388+00:00"},{"alias_kind":"pith_short_16","alias_value":"A2UC6QHZ4JMVJBGN","created_at":"2026-07-05T09:38:49.440388+00:00"},{"alias_kind":"pith_short_8","alias_value":"A2UC6QHZ","created_at":"2026-07-05T09:38:49.440388+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2502.09619","citing_title":"Can this Model Also Recognize Dogs? Zero-Shot Model Search from Weights","ref_index":13,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/A2UC6QHZ4JMVJBGNQVNQON7MYO","json":"https://pith.science/pith/A2UC6QHZ4JMVJBGNQVNQON7MYO.json","graph_json":"https://pith.science/api/pith-number/A2UC6QHZ4JMVJBGNQVNQON7MYO/graph.json","events_json":"https://pith.science/api/pith-number/A2UC6QHZ4JMVJBGNQVNQON7MYO/events.json","paper":"https://pith.science/paper/A2UC6QHZ"},"agent_actions":{"view_html":"https://pith.science/pith/A2UC6QHZ4JMVJBGNQVNQON7MYO","download_json":"https://pith.science/pith/A2UC6QHZ4JMVJBGNQVNQON7MYO.json","view_paper":"https://pith.science/paper/A2UC6QHZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2406.09413&json=true","fetch_graph":"https://pith.science/api/pith-number/A2UC6QHZ4JMVJBGNQVNQON7MYO/graph.json","fetch_events":"https://pith.science/api/pith-number/A2UC6QHZ4JMVJBGNQVNQON7MYO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/A2UC6QHZ4JMVJBGNQVNQON7MYO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/A2UC6QHZ4JMVJBGNQVNQON7MYO/action/storage_attestation","attest_author":"https://pith.science/pith/A2UC6QHZ4JMVJBGNQVNQON7MYO/action/author_attestation","sign_citation":"https://pith.science/pith/A2UC6QHZ4JMVJBGNQVNQON7MYO/action/citation_signature","submit_replication":"https://pith.science/pith/A2UC6QHZ4JMVJBGNQVNQON7MYO/action/replication_record"}},"created_at":"2026-07-05T09:38:49.440388+00:00","updated_at":"2026-07-05T09:38:49.440388+00:00"}