{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:BPSJHRIH47FLUSU5YX2FQOI6U4","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":"7aba4365cf56e57bc67444633ab4c18f60d11b84ca714e061162d642ab838436","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-22T17:59:42Z","title_canon_sha256":"77930bfb742083ef95811ed65bff256e82bff2f1c883215e88c19b85b861196d"},"schema_version":"1.0","source":{"id":"2309.13042","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.13042","created_at":"2026-07-05T09:15:26Z"},{"alias_kind":"arxiv_version","alias_value":"2309.13042v2","created_at":"2026-07-05T09:15:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.13042","created_at":"2026-07-05T09:15:26Z"},{"alias_kind":"pith_short_12","alias_value":"BPSJHRIH47FL","created_at":"2026-07-05T09:15:26Z"},{"alias_kind":"pith_short_16","alias_value":"BPSJHRIH47FLUSU5","created_at":"2026-07-05T09:15:26Z"},{"alias_kind":"pith_short_8","alias_value":"BPSJHRIH","created_at":"2026-07-05T09:15:26Z"}],"graph_snapshots":[{"event_id":"sha256:d6f1dd496c9fb9011af0b56cbf591fd7c81b87a310d1f3bdac6ae56332973ab8","target":"graph","created_at":"2026-07-05T09:15:26Z","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/2309.13042/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present MosaicFusion, a simple yet effective diffusion-based data augmentation approach for large vocabulary instance segmentation. Our method is training-free and does not rely on any label supervision. Two key designs enable us to employ an off-the-shelf text-to-image diffusion model as a useful dataset generator for object instances and mask annotations. First, we divide an image canvas into several regions and perform a single round of diffusion process to generate multiple instances simultaneously, conditioning on different text prompts. Second, we obtain corresponding instance masks b","authors_text":"Chen Change Loy, Jiahao Xie, Wei Li, Xiangtai Li, Yew Soon Ong, Ziwei Liu","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-22T17:59:42Z","title":"MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.13042","kind":"arxiv","version":2},"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":"sha256:30d9f0d67f5ed4936f12e15744c34bd6ab0d2dba8ff8393015f827d65c688fe1","target":"record","created_at":"2026-07-05T09:15:26Z","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":"7aba4365cf56e57bc67444633ab4c18f60d11b84ca714e061162d642ab838436","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-22T17:59:42Z","title_canon_sha256":"77930bfb742083ef95811ed65bff256e82bff2f1c883215e88c19b85b861196d"},"schema_version":"1.0","source":{"id":"2309.13042","kind":"arxiv","version":2}},"canonical_sha256":"0be493c507e7caba4a9dc5f458391ea7391f76cac22d970100d89d14d664c8eb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0be493c507e7caba4a9dc5f458391ea7391f76cac22d970100d89d14d664c8eb","first_computed_at":"2026-07-05T09:15:26.911928Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:15:26.911928Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"y8j6vvdLhGJ9mm5euym46LnLO2uqpbtoJfe1Km+C9gtDNmqm6PqGGymkeb1K3ajRDa+SOHaTQ2AANcIEPE+zDg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:15:26.912357Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.13042","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:30d9f0d67f5ed4936f12e15744c34bd6ab0d2dba8ff8393015f827d65c688fe1","sha256:d6f1dd496c9fb9011af0b56cbf591fd7c81b87a310d1f3bdac6ae56332973ab8"],"state_sha256":"ed86ba3788bb3aa813d90c39f7b16478e30dd274403fed8328cc9fe76d8cf7a0"}