{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ZACD3KQJCX2E25XOSBLKC36SOS","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":"9130e6be8c87d905cd551245ba9f712b9804b8bbc7f823da9be53080a7d2db94","cross_cats_sorted":["cs.GR","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-07-13T17:46:42Z","title_canon_sha256":"aeec145f23ba0ccf0ffd7f54103dbe97d7958a8787aa1deec19be283255b99e2"},"schema_version":"1.0","source":{"id":"2307.06925","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.06925","created_at":"2026-07-05T06:30:39Z"},{"alias_kind":"arxiv_version","alias_value":"2307.06925v1","created_at":"2026-07-05T06:30:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.06925","created_at":"2026-07-05T06:30:39Z"},{"alias_kind":"pith_short_12","alias_value":"ZACD3KQJCX2E","created_at":"2026-07-05T06:30:39Z"},{"alias_kind":"pith_short_16","alias_value":"ZACD3KQJCX2E25XO","created_at":"2026-07-05T06:30:39Z"},{"alias_kind":"pith_short_8","alias_value":"ZACD3KQJ","created_at":"2026-07-05T06:30:39Z"}],"graph_snapshots":[{"event_id":"sha256:647c7aca493aa002d63731be355b2b41cffaf6d0591c4fbcbb04b7ed539ef6e7","target":"graph","created_at":"2026-07-05T06:30:39Z","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/2307.06925/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Text-to-image (T2I) personalization allows users to guide the creative image generation process by combining their own visual concepts in natural language prompts. Recently, encoder-based techniques have emerged as a new effective approach for T2I personalization, reducing the need for multiple images and long training times. However, most existing encoders are limited to a single-class domain, which hinders their ability to handle diverse concepts. In this work, we propose a domain-agnostic method that does not require any specialized dataset or prior information about the personalized concep","authors_text":"Amit H. Bermano, Ariel Shamir, Daniel Cohen-Or, Gal Chechik, Moab Arar, Rinon Gal, Yuval Atzmon","cross_cats":["cs.GR","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-07-13T17:46:42Z","title":"Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.06925","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:b1930f3a03f3c6d81470af0bd96c2d9f44c4c6a2ff3932f62b5ca35d1b306ed2","target":"record","created_at":"2026-07-05T06:30:39Z","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":"9130e6be8c87d905cd551245ba9f712b9804b8bbc7f823da9be53080a7d2db94","cross_cats_sorted":["cs.GR","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-07-13T17:46:42Z","title_canon_sha256":"aeec145f23ba0ccf0ffd7f54103dbe97d7958a8787aa1deec19be283255b99e2"},"schema_version":"1.0","source":{"id":"2307.06925","kind":"arxiv","version":1}},"canonical_sha256":"c8043daa0915f44d76ee9056a16fd274b24fd193e0aa542d40dafb0c09f8c937","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c8043daa0915f44d76ee9056a16fd274b24fd193e0aa542d40dafb0c09f8c937","first_computed_at":"2026-07-05T06:30:39.582398Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:30:39.582398Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CFZI/efTOhRirtk86GoXd9HKCvu0erPj2nT+htxj9Hpf/Z/TNXs8Uiw5L8U2Mn5yioGGHw80F/qDdWn0m056BA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:30:39.582764Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.06925","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b1930f3a03f3c6d81470af0bd96c2d9f44c4c6a2ff3932f62b5ca35d1b306ed2","sha256:647c7aca493aa002d63731be355b2b41cffaf6d0591c4fbcbb04b7ed539ef6e7"],"state_sha256":"98e001ca5adc5606440e242d3ba1f602ca438e374a0a10ac0bced14ad8ecae80"}