{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:MD4UPHIK35XR4TJBYE5CE7YQFE","short_pith_number":"pith:MD4UPHIK","canonical_record":{"source":{"id":"2504.09948","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-14T07:18:32Z","cross_cats_sorted":["cs.AI","cs.MM"],"title_canon_sha256":"b4f9855c067e8856b1f5b8f23cde933c57801ad5c97d46e1fcebdcda5c2a63b6","abstract_canon_sha256":"f19ebe7a25b1ecf83b54517ef54f0d2c32afa89329f8aca59fb3541cf9694be9"},"schema_version":"1.0"},"canonical_sha256":"60f9479d0adf6f1e4d21c13a227f10293eedd66d6e8555a13c7c0f057c8c309b","source":{"kind":"arxiv","id":"2504.09948","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.09948","created_at":"2026-07-05T10:56:39Z"},{"alias_kind":"arxiv_version","alias_value":"2504.09948v3","created_at":"2026-07-05T10:56:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.09948","created_at":"2026-07-05T10:56:39Z"},{"alias_kind":"pith_short_12","alias_value":"MD4UPHIK35XR","created_at":"2026-07-05T10:56:39Z"},{"alias_kind":"pith_short_16","alias_value":"MD4UPHIK35XR4TJB","created_at":"2026-07-05T10:56:39Z"},{"alias_kind":"pith_short_8","alias_value":"MD4UPHIK","created_at":"2026-07-05T10:56:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:MD4UPHIK35XR4TJBYE5CE7YQFE","target":"record","payload":{"canonical_record":{"source":{"id":"2504.09948","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-14T07:18:32Z","cross_cats_sorted":["cs.AI","cs.MM"],"title_canon_sha256":"b4f9855c067e8856b1f5b8f23cde933c57801ad5c97d46e1fcebdcda5c2a63b6","abstract_canon_sha256":"f19ebe7a25b1ecf83b54517ef54f0d2c32afa89329f8aca59fb3541cf9694be9"},"schema_version":"1.0"},"canonical_sha256":"60f9479d0adf6f1e4d21c13a227f10293eedd66d6e8555a13c7c0f057c8c309b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:56:39.032446Z","signature_b64":"b14c9Ie4OHQ04/Jh9jGM1rxmbViVeVujeBAHX2I7IxVkYOj/5D5z4WWR5/TVoiP7/xG1uABJXqzVIClXPA+sBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"60f9479d0adf6f1e4d21c13a227f10293eedd66d6e8555a13c7c0f057c8c309b","last_reissued_at":"2026-07-05T10:56:39.031899Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:56:39.031899Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.09948","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:56:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ecd0WWm4b8vC7igV5aecR7jl03TVLR+c/rqbzuUkxfgNZcfSnqAI/HmNmMVdf6w60BzAkT0EceKCBdo+TJ/7Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T03:38:55.519269Z"},"content_sha256":"2b0753ad659bbf051ae0b71daf76fdcf8ca0cd5f5de31845b63dca40776c922b","schema_version":"1.0","event_id":"sha256:2b0753ad659bbf051ae0b71daf76fdcf8ca0cd5f5de31845b63dca40776c922b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:MD4UPHIK35XR4TJBYE5CE7YQFE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Omni-Dish: Photorealistic and Faithful Image Generation and Editing for Arbitrary Chinese Dishes","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.MM"],"primary_cat":"cs.CV","authors_text":"Bingcan Wang, Guoliang Kang, Huijie Liu, Jie Hu, Xiaoming Wei","submitted_at":"2025-04-14T07:18:32Z","abstract_excerpt":"Dish images play a crucial role in the digital era, with the demand for culturally distinctive dish images continuously increasing due to the digitization of the food industry and e-commerce. In general cases, existing text-to-image generation models excel in producing high-quality images; however, they struggle to capture diverse characteristics and faithful details of specific domains, particularly Chinese dishes. To address this limitation, we propose Omni-Dish, the first text-to-image generation model specifically tailored for Chinese dishes. We develop a comprehensive dish curation pipeli"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.09948","kind":"arxiv","version":3},"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/2504.09948/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":"2026-07-05T10:56:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3KEiU8vwRbgOdYdQcqt9hbyT1CDKUUXwc5LyFyDPRHQCgo2Igwqj42ND8CDKUFTQ4Jq0Qzc7Nrp/NMayB9ONCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T03:38:55.519839Z"},"content_sha256":"0e1948c994e93c14ce4c16e4053a84c9b3a23d12c7dd2e2ba80a02fea09a5e4b","schema_version":"1.0","event_id":"sha256:0e1948c994e93c14ce4c16e4053a84c9b3a23d12c7dd2e2ba80a02fea09a5e4b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MD4UPHIK35XR4TJBYE5CE7YQFE/bundle.json","state_url":"https://pith.science/pith/MD4UPHIK35XR4TJBYE5CE7YQFE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MD4UPHIK35XR4TJBYE5CE7YQFE/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":"2026-08-07T03:38:55Z","links":{"resolver":"https://pith.science/pith/MD4UPHIK35XR4TJBYE5CE7YQFE","bundle":"https://pith.science/pith/MD4UPHIK35XR4TJBYE5CE7YQFE/bundle.json","state":"https://pith.science/pith/MD4UPHIK35XR4TJBYE5CE7YQFE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MD4UPHIK35XR4TJBYE5CE7YQFE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:MD4UPHIK35XR4TJBYE5CE7YQFE","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":"f19ebe7a25b1ecf83b54517ef54f0d2c32afa89329f8aca59fb3541cf9694be9","cross_cats_sorted":["cs.AI","cs.MM"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-14T07:18:32Z","title_canon_sha256":"b4f9855c067e8856b1f5b8f23cde933c57801ad5c97d46e1fcebdcda5c2a63b6"},"schema_version":"1.0","source":{"id":"2504.09948","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.09948","created_at":"2026-07-05T10:56:39Z"},{"alias_kind":"arxiv_version","alias_value":"2504.09948v3","created_at":"2026-07-05T10:56:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.09948","created_at":"2026-07-05T10:56:39Z"},{"alias_kind":"pith_short_12","alias_value":"MD4UPHIK35XR","created_at":"2026-07-05T10:56:39Z"},{"alias_kind":"pith_short_16","alias_value":"MD4UPHIK35XR4TJB","created_at":"2026-07-05T10:56:39Z"},{"alias_kind":"pith_short_8","alias_value":"MD4UPHIK","created_at":"2026-07-05T10:56:39Z"}],"graph_snapshots":[{"event_id":"sha256:0e1948c994e93c14ce4c16e4053a84c9b3a23d12c7dd2e2ba80a02fea09a5e4b","target":"graph","created_at":"2026-07-05T10:56:39Z","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/2504.09948/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Dish images play a crucial role in the digital era, with the demand for culturally distinctive dish images continuously increasing due to the digitization of the food industry and e-commerce. In general cases, existing text-to-image generation models excel in producing high-quality images; however, they struggle to capture diverse characteristics and faithful details of specific domains, particularly Chinese dishes. To address this limitation, we propose Omni-Dish, the first text-to-image generation model specifically tailored for Chinese dishes. We develop a comprehensive dish curation pipeli","authors_text":"Bingcan Wang, Guoliang Kang, Huijie Liu, Jie Hu, Xiaoming Wei","cross_cats":["cs.AI","cs.MM"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-14T07:18:32Z","title":"Omni-Dish: Photorealistic and Faithful Image Generation and Editing for Arbitrary Chinese Dishes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.09948","kind":"arxiv","version":3},"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":"sha256:2b0753ad659bbf051ae0b71daf76fdcf8ca0cd5f5de31845b63dca40776c922b","target":"record","created_at":"2026-07-05T10:56:39Z","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":"f19ebe7a25b1ecf83b54517ef54f0d2c32afa89329f8aca59fb3541cf9694be9","cross_cats_sorted":["cs.AI","cs.MM"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-14T07:18:32Z","title_canon_sha256":"b4f9855c067e8856b1f5b8f23cde933c57801ad5c97d46e1fcebdcda5c2a63b6"},"schema_version":"1.0","source":{"id":"2504.09948","kind":"arxiv","version":3}},"canonical_sha256":"60f9479d0adf6f1e4d21c13a227f10293eedd66d6e8555a13c7c0f057c8c309b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"60f9479d0adf6f1e4d21c13a227f10293eedd66d6e8555a13c7c0f057c8c309b","first_computed_at":"2026-07-05T10:56:39.031899Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:56:39.031899Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"b14c9Ie4OHQ04/Jh9jGM1rxmbViVeVujeBAHX2I7IxVkYOj/5D5z4WWR5/TVoiP7/xG1uABJXqzVIClXPA+sBg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:56:39.032446Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.09948","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2b0753ad659bbf051ae0b71daf76fdcf8ca0cd5f5de31845b63dca40776c922b","sha256:0e1948c994e93c14ce4c16e4053a84c9b3a23d12c7dd2e2ba80a02fea09a5e4b"],"state_sha256":"be4d9b6adf0d8aa7c4f505a8484eff95d59d48baa7d1c3906b95c024ee9162a2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"H+x1sktpDSzSOODyG3PsDMLbWt9ta7+mq7YYuo2jBLZXG/j8nUlcy9u+t9a2yj5B/+pY03yWlT2871yWtMgXBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T03:38:55.523910Z","bundle_sha256":"66fe76eb5567e93420a45a903628cc70bc75c343e536886373753b181f579d40"}}