{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:7TSOI63YRCLGATRITT6SRBULW6","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":"91bde76158d82dda09e74a17f8618ffcca3ec75b1748160fb2e05ee5af4adc34","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-17T14:16:47Z","title_canon_sha256":"3755b687c75dfbdc6c494580ca5aebfdf8f099c75860f8a717df7e6208ee133c"},"schema_version":"1.0","source":{"id":"2606.19103","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.19103","created_at":"2026-06-19T16:11:56Z"},{"alias_kind":"arxiv_version","alias_value":"2606.19103v1","created_at":"2026-06-19T16:11:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.19103","created_at":"2026-06-19T16:11:56Z"},{"alias_kind":"pith_short_12","alias_value":"7TSOI63YRCLG","created_at":"2026-06-19T16:11:56Z"},{"alias_kind":"pith_short_16","alias_value":"7TSOI63YRCLGATRI","created_at":"2026-06-19T16:11:56Z"},{"alias_kind":"pith_short_8","alias_value":"7TSOI63Y","created_at":"2026-06-19T16:11:56Z"}],"graph_snapshots":[{"event_id":"sha256:788516c6c4b49aff8bcf66db97a9c5b160fdb703972373c76e8c3b614892da02","target":"graph","created_at":"2026-06-19T16:11:56Z","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/2606.19103/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in instruction-based image editing have enabled models to perform complex visual edits from natural language instructions. However, in product-centric scenarios where preserving product features, branding, and textual elements are critical, current open and closed source models often struggle to maintain this fine-grained object identity. This issue is further compounded by the lack of datasets for instruction-based product image editing with text fidelity constraints, leaving it largely treated as an implicit capability of instruction-based image editing models.\n  In this work","authors_text":"Kunal Singh, Mukund Khanna, Raj Singh Yadav","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-17T14:16:47Z","title":"ProductConsistency: Improving Product Identity Preservation in Instruction-Based Image Editing via SFT and RL"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.19103","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:fba708c5e3881865404f2dcfd2192f5c0c53455dcb5233cfcd45042c4706eaf4","target":"record","created_at":"2026-06-19T16:11:56Z","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":"91bde76158d82dda09e74a17f8618ffcca3ec75b1748160fb2e05ee5af4adc34","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-17T14:16:47Z","title_canon_sha256":"3755b687c75dfbdc6c494580ca5aebfdf8f099c75860f8a717df7e6208ee133c"},"schema_version":"1.0","source":{"id":"2606.19103","kind":"arxiv","version":1}},"canonical_sha256":"fce4e47b788896604e289cfd28868bb798c2109692873e8a9f1ffcb9c4232b91","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fce4e47b788896604e289cfd28868bb798c2109692873e8a9f1ffcb9c4232b91","first_computed_at":"2026-06-19T16:11:56.673700Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:11:56.673700Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eMdQxNuTScoxEobhfnBuoPlbTg7aULWjE6CBVgIy9+T1Ft+jPOds9oFE8a3o6TlhuHN6trJsIB6MhFqdx96YCg==","signature_status":"signed_v1","signed_at":"2026-06-19T16:11:56.674051Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.19103","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fba708c5e3881865404f2dcfd2192f5c0c53455dcb5233cfcd45042c4706eaf4","sha256:788516c6c4b49aff8bcf66db97a9c5b160fdb703972373c76e8c3b614892da02"],"state_sha256":"cdce00eeb0545844ee60eb86d1671d533db891c46171e0a7b52688fb7d9d9b77"}