{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:RCEXJ2RF7QDLMGNWKXKQIIYGRF","short_pith_number":"pith:RCEXJ2RF","canonical_record":{"source":{"id":"2506.08964","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-10T16:36:54Z","cross_cats_sorted":[],"title_canon_sha256":"4b12925986ca7fba1fc8cdc8404c9a04998f9ca9a6431b7cfde6aafd2a181cb1","abstract_canon_sha256":"8c4d4f226801b2a60258e750c55e98a2752b7de09296c52f72a8b97637104117"},"schema_version":"1.0"},"canonical_sha256":"888974ea25fc06b619b655d50423068945661897620120e9ecfc118d426674ec","source":{"kind":"arxiv","id":"2506.08964","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.08964","created_at":"2026-07-05T11:19:16Z"},{"alias_kind":"arxiv_version","alias_value":"2506.08964v1","created_at":"2026-07-05T11:19:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.08964","created_at":"2026-07-05T11:19:16Z"},{"alias_kind":"pith_short_12","alias_value":"RCEXJ2RF7QDL","created_at":"2026-07-05T11:19:16Z"},{"alias_kind":"pith_short_16","alias_value":"RCEXJ2RF7QDLMGNW","created_at":"2026-07-05T11:19:16Z"},{"alias_kind":"pith_short_8","alias_value":"RCEXJ2RF","created_at":"2026-07-05T11:19:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:RCEXJ2RF7QDLMGNWKXKQIIYGRF","target":"record","payload":{"canonical_record":{"source":{"id":"2506.08964","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-10T16:36:54Z","cross_cats_sorted":[],"title_canon_sha256":"4b12925986ca7fba1fc8cdc8404c9a04998f9ca9a6431b7cfde6aafd2a181cb1","abstract_canon_sha256":"8c4d4f226801b2a60258e750c55e98a2752b7de09296c52f72a8b97637104117"},"schema_version":"1.0"},"canonical_sha256":"888974ea25fc06b619b655d50423068945661897620120e9ecfc118d426674ec","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:19:16.118441Z","signature_b64":"I0hfjJZn3qUEvN4kMb4uwBxqqRRuLlGthPHY427UFvQ0SH4wql8d0dD8kadunk0pO2Gl7IkY9irXcoX3gkBYDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"888974ea25fc06b619b655d50423068945661897620120e9ecfc118d426674ec","last_reissued_at":"2026-07-05T11:19:16.117961Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:19:16.117961Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.08964","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:19:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SVZx67VJXrNycUsRzHugdFDKIVHotR7j/2flQWtv4sr6iEr1r6Ugpd8Yd/3zmv5J77pL/pci121h+ELgjcVCDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:01:58.717837Z"},"content_sha256":"c0ce78039b769b720eeb801636b419486b7ad4e2b6867f6fea5c297c33d97ce4","schema_version":"1.0","event_id":"sha256:c0ce78039b769b720eeb801636b419486b7ad4e2b6867f6fea5c297c33d97ce4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:RCEXJ2RF7QDLMGNWKXKQIIYGRF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ORIDa: Object-centric Real-world Image Composition Dataset","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dongyoung Kim, Jinho Jeong, Jinwoo Kim, Jiwoo Choi, Sangmin Han, Seon Joo Kim","submitted_at":"2025-06-10T16:36:54Z","abstract_excerpt":"Object compositing, the task of placing and harmonizing objects in images of diverse visual scenes, has become an important task in computer vision with the rise of generative models. However, existing datasets lack the diversity and scale required to comprehensively explore real-world scenarios. We introduce ORIDa (Object-centric Real-world Image Composition Dataset), a large-scale, real-captured dataset containing over 30,000 images featuring 200 unique objects, each of which is presented across varied positions and scenes. ORIDa has two types of data: factual-counterfactual sets and factual"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.08964","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/2506.08964/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:19:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bRaX7DvpbVluzqvKwfzFliHmNw077a4RHC2XzGcqVszJM+o0SWXYSRNarsT8rwt7Aqysq94hvn68yeCXaAQvAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:01:58.718744Z"},"content_sha256":"c29a1c76b5ffbcf88abd01292823c68aa2dee0e5dde7157f597fc97927703770","schema_version":"1.0","event_id":"sha256:c29a1c76b5ffbcf88abd01292823c68aa2dee0e5dde7157f597fc97927703770"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RCEXJ2RF7QDLMGNWKXKQIIYGRF/bundle.json","state_url":"https://pith.science/pith/RCEXJ2RF7QDLMGNWKXKQIIYGRF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RCEXJ2RF7QDLMGNWKXKQIIYGRF/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-07T18:01:58Z","links":{"resolver":"https://pith.science/pith/RCEXJ2RF7QDLMGNWKXKQIIYGRF","bundle":"https://pith.science/pith/RCEXJ2RF7QDLMGNWKXKQIIYGRF/bundle.json","state":"https://pith.science/pith/RCEXJ2RF7QDLMGNWKXKQIIYGRF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RCEXJ2RF7QDLMGNWKXKQIIYGRF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:RCEXJ2RF7QDLMGNWKXKQIIYGRF","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":"8c4d4f226801b2a60258e750c55e98a2752b7de09296c52f72a8b97637104117","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-10T16:36:54Z","title_canon_sha256":"4b12925986ca7fba1fc8cdc8404c9a04998f9ca9a6431b7cfde6aafd2a181cb1"},"schema_version":"1.0","source":{"id":"2506.08964","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.08964","created_at":"2026-07-05T11:19:16Z"},{"alias_kind":"arxiv_version","alias_value":"2506.08964v1","created_at":"2026-07-05T11:19:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.08964","created_at":"2026-07-05T11:19:16Z"},{"alias_kind":"pith_short_12","alias_value":"RCEXJ2RF7QDL","created_at":"2026-07-05T11:19:16Z"},{"alias_kind":"pith_short_16","alias_value":"RCEXJ2RF7QDLMGNW","created_at":"2026-07-05T11:19:16Z"},{"alias_kind":"pith_short_8","alias_value":"RCEXJ2RF","created_at":"2026-07-05T11:19:16Z"}],"graph_snapshots":[{"event_id":"sha256:c29a1c76b5ffbcf88abd01292823c68aa2dee0e5dde7157f597fc97927703770","target":"graph","created_at":"2026-07-05T11:19:16Z","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/2506.08964/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Object compositing, the task of placing and harmonizing objects in images of diverse visual scenes, has become an important task in computer vision with the rise of generative models. However, existing datasets lack the diversity and scale required to comprehensively explore real-world scenarios. We introduce ORIDa (Object-centric Real-world Image Composition Dataset), a large-scale, real-captured dataset containing over 30,000 images featuring 200 unique objects, each of which is presented across varied positions and scenes. ORIDa has two types of data: factual-counterfactual sets and factual","authors_text":"Dongyoung Kim, Jinho Jeong, Jinwoo Kim, Jiwoo Choi, Sangmin Han, Seon Joo Kim","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-10T16:36:54Z","title":"ORIDa: Object-centric Real-world Image Composition Dataset"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.08964","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:c0ce78039b769b720eeb801636b419486b7ad4e2b6867f6fea5c297c33d97ce4","target":"record","created_at":"2026-07-05T11:19:16Z","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":"8c4d4f226801b2a60258e750c55e98a2752b7de09296c52f72a8b97637104117","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-10T16:36:54Z","title_canon_sha256":"4b12925986ca7fba1fc8cdc8404c9a04998f9ca9a6431b7cfde6aafd2a181cb1"},"schema_version":"1.0","source":{"id":"2506.08964","kind":"arxiv","version":1}},"canonical_sha256":"888974ea25fc06b619b655d50423068945661897620120e9ecfc118d426674ec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"888974ea25fc06b619b655d50423068945661897620120e9ecfc118d426674ec","first_computed_at":"2026-07-05T11:19:16.117961Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:19:16.117961Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"I0hfjJZn3qUEvN4kMb4uwBxqqRRuLlGthPHY427UFvQ0SH4wql8d0dD8kadunk0pO2Gl7IkY9irXcoX3gkBYDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:19:16.118441Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.08964","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c0ce78039b769b720eeb801636b419486b7ad4e2b6867f6fea5c297c33d97ce4","sha256:c29a1c76b5ffbcf88abd01292823c68aa2dee0e5dde7157f597fc97927703770"],"state_sha256":"9989f51a27ae3b266315f0d976e98c26fbc7cfd9986a7983d3a97aa578c3f64d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6Nraay+8AkeQO2VQkTUq+pI+uPfTGNKKq0B2Q24/DjuislTa29pcd05YVp8EJlqAAmUOADGfrCr846kEnRW6Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T18:01:58.725797Z","bundle_sha256":"859615fbc072262444c8671a6942caff757a5aa2b7a419fbdf804fbfbb9ddacc"}}