{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:OIZ6WELP4RN7W5YMJIH6VYGWX4","short_pith_number":"pith:OIZ6WELP","canonical_record":{"source":{"id":"2403.08857","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-13T18:00:01Z","cross_cats_sorted":[],"title_canon_sha256":"e329d43ad83d2f6b210c3c21e4529b5c2b118046153516625c1a936f79144217","abstract_canon_sha256":"07972034ac5030159b8996256bd857fee26b2cde8f205bc1ab493064a5f8af1b"},"schema_version":"1.0"},"canonical_sha256":"7233eb116fe45bfb770c4a0feae0d6bf3a0f32cd924723ab7fe9476d0ff8220f","source":{"kind":"arxiv","id":"2403.08857","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.08857","created_at":"2026-07-05T10:50:41Z"},{"alias_kind":"arxiv_version","alias_value":"2403.08857v3","created_at":"2026-07-05T10:50:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.08857","created_at":"2026-07-05T10:50:41Z"},{"alias_kind":"pith_short_12","alias_value":"OIZ6WELP4RN7","created_at":"2026-07-05T10:50:41Z"},{"alias_kind":"pith_short_16","alias_value":"OIZ6WELP4RN7W5YM","created_at":"2026-07-05T10:50:41Z"},{"alias_kind":"pith_short_8","alias_value":"OIZ6WELP","created_at":"2026-07-05T10:50:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:OIZ6WELP4RN7W5YMJIH6VYGWX4","target":"record","payload":{"canonical_record":{"source":{"id":"2403.08857","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-13T18:00:01Z","cross_cats_sorted":[],"title_canon_sha256":"e329d43ad83d2f6b210c3c21e4529b5c2b118046153516625c1a936f79144217","abstract_canon_sha256":"07972034ac5030159b8996256bd857fee26b2cde8f205bc1ab493064a5f8af1b"},"schema_version":"1.0"},"canonical_sha256":"7233eb116fe45bfb770c4a0feae0d6bf3a0f32cd924723ab7fe9476d0ff8220f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:50:41.866852Z","signature_b64":"aVUz/Dol3J6ElFJF9LWv5zODqIIdURA4gSdBNuMCXCQmuzEUDuYtybeRySK1ipNlUFgGRTRGIXe9wHzrEhDACA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7233eb116fe45bfb770c4a0feae0d6bf3a0f32cd924723ab7fe9476d0ff8220f","last_reissued_at":"2026-07-05T10:50:41.866378Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:50:41.866378Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.08857","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":"2026-07-05T10:50:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g4sxDmydhffozvAlzRiTnxG+rwQGbRPPqofwIAqfAtilHVyvabvVw6LWm0XBQHbl3CPW6r42Fe0x6TaNkjNHBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T01:48:26.722241Z"},"content_sha256":"948fe833ccb5d0b34f63a99ad051768b74ed485b317ff659d51d09f9fe4eb972","schema_version":"1.0","event_id":"sha256:948fe833ccb5d0b34f63a99ad051768b74ed485b317ff659d51d09f9fe4eb972"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:OIZ6WELP4RN7W5YMJIH6VYGWX4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DialogGen: Multi-modal Interactive Dialogue System for Multi-turn Text-to-Image Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hong Cheng, Jiangfeng Xiong, Minbin Huang, Qinglin Lu, Ruihang Chu, Wei Liu, Xiaodan Liang, Xinchi Deng, Yanxin Long","submitted_at":"2024-03-13T18:00:01Z","abstract_excerpt":"Text-to-image (T2I) generation models have significantly advanced in recent years. However, effective interaction with these models is challenging for average users due to the need for specialized prompt engineering knowledge and the inability to perform multi-turn image generation, hindering a dynamic and iterative creation process. Recent attempts have tried to equip Multi-modal Large Language Models (MLLMs) with T2I models to bring the user's natural language instructions into reality. Hence, the output modality of MLLMs is extended, and the multi-turn generation quality of T2I models is en"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.08857","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/2403.08857/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":"2026-07-05T10:50:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JbiH/LDeMvBw4/SRYePABdlLbymfMOJR+Y1Ibw9vAaiXRM7ePMeQ4HvvN+MovXTq3ytNEVH7sWB3KVFf+bG1CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T01:48:26.722765Z"},"content_sha256":"0f5d52ceef66cacd52f38412a4c85dd11e471aa9aae0be327e7d9768e0ed0d81","schema_version":"1.0","event_id":"sha256:0f5d52ceef66cacd52f38412a4c85dd11e471aa9aae0be327e7d9768e0ed0d81"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OIZ6WELP4RN7W5YMJIH6VYGWX4/bundle.json","state_url":"https://pith.science/pith/OIZ6WELP4RN7W5YMJIH6VYGWX4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OIZ6WELP4RN7W5YMJIH6VYGWX4/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":"2026-08-21T01:48:26Z","links":{"resolver":"https://pith.science/pith/OIZ6WELP4RN7W5YMJIH6VYGWX4","bundle":"https://pith.science/pith/OIZ6WELP4RN7W5YMJIH6VYGWX4/bundle.json","state":"https://pith.science/pith/OIZ6WELP4RN7W5YMJIH6VYGWX4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OIZ6WELP4RN7W5YMJIH6VYGWX4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:OIZ6WELP4RN7W5YMJIH6VYGWX4","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":"07972034ac5030159b8996256bd857fee26b2cde8f205bc1ab493064a5f8af1b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-13T18:00:01Z","title_canon_sha256":"e329d43ad83d2f6b210c3c21e4529b5c2b118046153516625c1a936f79144217"},"schema_version":"1.0","source":{"id":"2403.08857","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.08857","created_at":"2026-07-05T10:50:41Z"},{"alias_kind":"arxiv_version","alias_value":"2403.08857v3","created_at":"2026-07-05T10:50:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.08857","created_at":"2026-07-05T10:50:41Z"},{"alias_kind":"pith_short_12","alias_value":"OIZ6WELP4RN7","created_at":"2026-07-05T10:50:41Z"},{"alias_kind":"pith_short_16","alias_value":"OIZ6WELP4RN7W5YM","created_at":"2026-07-05T10:50:41Z"},{"alias_kind":"pith_short_8","alias_value":"OIZ6WELP","created_at":"2026-07-05T10:50:41Z"}],"graph_snapshots":[{"event_id":"sha256:0f5d52ceef66cacd52f38412a4c85dd11e471aa9aae0be327e7d9768e0ed0d81","target":"graph","created_at":"2026-07-05T10:50:41Z","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/2403.08857/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Text-to-image (T2I) generation models have significantly advanced in recent years. However, effective interaction with these models is challenging for average users due to the need for specialized prompt engineering knowledge and the inability to perform multi-turn image generation, hindering a dynamic and iterative creation process. Recent attempts have tried to equip Multi-modal Large Language Models (MLLMs) with T2I models to bring the user's natural language instructions into reality. Hence, the output modality of MLLMs is extended, and the multi-turn generation quality of T2I models is en","authors_text":"Hong Cheng, Jiangfeng Xiong, Minbin Huang, Qinglin Lu, Ruihang Chu, Wei Liu, Xiaodan Liang, Xinchi Deng, Yanxin Long","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-13T18:00:01Z","title":"DialogGen: Multi-modal Interactive Dialogue System for Multi-turn Text-to-Image Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.08857","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":"sha256:948fe833ccb5d0b34f63a99ad051768b74ed485b317ff659d51d09f9fe4eb972","target":"record","created_at":"2026-07-05T10:50:41Z","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":"07972034ac5030159b8996256bd857fee26b2cde8f205bc1ab493064a5f8af1b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-13T18:00:01Z","title_canon_sha256":"e329d43ad83d2f6b210c3c21e4529b5c2b118046153516625c1a936f79144217"},"schema_version":"1.0","source":{"id":"2403.08857","kind":"arxiv","version":3}},"canonical_sha256":"7233eb116fe45bfb770c4a0feae0d6bf3a0f32cd924723ab7fe9476d0ff8220f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7233eb116fe45bfb770c4a0feae0d6bf3a0f32cd924723ab7fe9476d0ff8220f","first_computed_at":"2026-07-05T10:50:41.866378Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:50:41.866378Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aVUz/Dol3J6ElFJF9LWv5zODqIIdURA4gSdBNuMCXCQmuzEUDuYtybeRySK1ipNlUFgGRTRGIXe9wHzrEhDACA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:50:41.866852Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.08857","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:948fe833ccb5d0b34f63a99ad051768b74ed485b317ff659d51d09f9fe4eb972","sha256:0f5d52ceef66cacd52f38412a4c85dd11e471aa9aae0be327e7d9768e0ed0d81"],"state_sha256":"cfe4c46258f16e3006afb6ff3733ddf0e33182d967b14210cbd802294ea701a6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rnbFmM6BiV6imz43aRHNY/muw9LpzjEVV7xq6z68vSRHDjz4NzlgaQzDy7isLZwqZysS0f0HCnqKKUx/aIGRBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T01:48:26.728279Z","bundle_sha256":"511605467ef5acbad00536b3dcecc82157e6d6303f2954e135328d9cc4c7f6e2"}}