{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:AFK34JVVF6MMQS7NYZEEVCJM7F","short_pith_number":"pith:AFK34JVV","schema_version":"1.0","canonical_sha256":"0155be26b52f98c84bedc6484a892cf95216d4e99a822985fb9fed455d1e8bd3","source":{"kind":"arxiv","id":"2502.10258","version":1},"attestation_state":"computed","paper":{"title":"PromptArtisan: Multi-instruction Image Editing in Single Pass with Complete Attention Control","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"cs.CV","authors_text":"Alok Shukla, Kunal Swami, Pranav Adlinge, Raghu Chittersu, Rajeev Irny, Shashavali Doodekula","submitted_at":"2025-02-14T16:11:57Z","abstract_excerpt":"We present PromptArtisan, a groundbreaking approach to multi-instruction image editing that achieves remarkable results in a single pass, eliminating the need for time-consuming iterative refinement. Our method empowers users to provide multiple editing instructions, each associated with a specific mask within the image. This flexibility allows for complex edits involving mask intersections or overlaps, enabling the realization of intricate and nuanced image transformations. PromptArtisan leverages a pre-trained InstructPix2Pix model in conjunction with a novel Complete Attention Control Mecha"},"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":"2502.10258","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-14T16:11:57Z","cross_cats_sorted":["cs.HC"],"title_canon_sha256":"265aaefab680abaca4e58ac896385de6d8a119e8a7dbf9ba16b2604a622b0002","abstract_canon_sha256":"48f7396ccf5ccafdd142cdab51f8797991ea80595275015b115b0131fcf098e2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:14:30.671890Z","signature_b64":"eGzJ9ocERB+m2EVxSAmGKBWqLTyiJ7PYVBUOQ4R5elEJ2bet5ZKbgpuupJCXnn/ABTGhj5tnRl9igGalkIQEBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0155be26b52f98c84bedc6484a892cf95216d4e99a822985fb9fed455d1e8bd3","last_reissued_at":"2026-07-05T10:14:30.671257Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:14:30.671257Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"PromptArtisan: Multi-instruction Image Editing in Single Pass with Complete Attention Control","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"cs.CV","authors_text":"Alok Shukla, Kunal Swami, Pranav Adlinge, Raghu Chittersu, Rajeev Irny, Shashavali Doodekula","submitted_at":"2025-02-14T16:11:57Z","abstract_excerpt":"We present PromptArtisan, a groundbreaking approach to multi-instruction image editing that achieves remarkable results in a single pass, eliminating the need for time-consuming iterative refinement. Our method empowers users to provide multiple editing instructions, each associated with a specific mask within the image. This flexibility allows for complex edits involving mask intersections or overlaps, enabling the realization of intricate and nuanced image transformations. PromptArtisan leverages a pre-trained InstructPix2Pix model in conjunction with a novel Complete Attention Control Mecha"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.10258","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/2502.10258/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":"2502.10258","created_at":"2026-07-05T10:14:30.671344+00:00"},{"alias_kind":"arxiv_version","alias_value":"2502.10258v1","created_at":"2026-07-05T10:14:30.671344+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.10258","created_at":"2026-07-05T10:14:30.671344+00:00"},{"alias_kind":"pith_short_12","alias_value":"AFK34JVVF6MM","created_at":"2026-07-05T10:14:30.671344+00:00"},{"alias_kind":"pith_short_16","alias_value":"AFK34JVVF6MMQS7N","created_at":"2026-07-05T10:14:30.671344+00:00"},{"alias_kind":"pith_short_8","alias_value":"AFK34JVV","created_at":"2026-07-05T10:14:30.671344+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/AFK34JVVF6MMQS7NYZEEVCJM7F","json":"https://pith.science/pith/AFK34JVVF6MMQS7NYZEEVCJM7F.json","graph_json":"https://pith.science/api/pith-number/AFK34JVVF6MMQS7NYZEEVCJM7F/graph.json","events_json":"https://pith.science/api/pith-number/AFK34JVVF6MMQS7NYZEEVCJM7F/events.json","paper":"https://pith.science/paper/AFK34JVV"},"agent_actions":{"view_html":"https://pith.science/pith/AFK34JVVF6MMQS7NYZEEVCJM7F","download_json":"https://pith.science/pith/AFK34JVVF6MMQS7NYZEEVCJM7F.json","view_paper":"https://pith.science/paper/AFK34JVV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2502.10258&json=true","fetch_graph":"https://pith.science/api/pith-number/AFK34JVVF6MMQS7NYZEEVCJM7F/graph.json","fetch_events":"https://pith.science/api/pith-number/AFK34JVVF6MMQS7NYZEEVCJM7F/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/AFK34JVVF6MMQS7NYZEEVCJM7F/action/timestamp_anchor","attest_storage":"https://pith.science/pith/AFK34JVVF6MMQS7NYZEEVCJM7F/action/storage_attestation","attest_author":"https://pith.science/pith/AFK34JVVF6MMQS7NYZEEVCJM7F/action/author_attestation","sign_citation":"https://pith.science/pith/AFK34JVVF6MMQS7NYZEEVCJM7F/action/citation_signature","submit_replication":"https://pith.science/pith/AFK34JVVF6MMQS7NYZEEVCJM7F/action/replication_record"}},"created_at":"2026-07-05T10:14:30.671344+00:00","updated_at":"2026-07-05T10:14:30.671344+00:00"}