{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:LKDHHONDOG5JUIZNHDPVUZ54OB","short_pith_number":"pith:LKDHHOND","canonical_record":{"source":{"id":"2311.15773","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-27T12:48:33Z","cross_cats_sorted":[],"title_canon_sha256":"a50a7b44147a9678e643c7a79c68e304fc098ca199f306e049123e794d6779ac","abstract_canon_sha256":"eb26b42122368f8c06b2e09525ef60b54686e6b25f445fd88ccac74a3faf0518"},"schema_version":"1.0"},"canonical_sha256":"5a8673b9a371ba9a232d38df5a67bc70521c94e28886fa45500c5b240d04c14f","source":{"kind":"arxiv","id":"2311.15773","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.15773","created_at":"2026-07-05T07:59:57Z"},{"alias_kind":"arxiv_version","alias_value":"2311.15773v3","created_at":"2026-07-05T07:59:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.15773","created_at":"2026-07-05T07:59:57Z"},{"alias_kind":"pith_short_12","alias_value":"LKDHHONDOG5J","created_at":"2026-07-05T07:59:57Z"},{"alias_kind":"pith_short_16","alias_value":"LKDHHONDOG5JUIZN","created_at":"2026-07-05T07:59:57Z"},{"alias_kind":"pith_short_8","alias_value":"LKDHHOND","created_at":"2026-07-05T07:59:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:LKDHHONDOG5JUIZNHDPVUZ54OB","target":"record","payload":{"canonical_record":{"source":{"id":"2311.15773","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-27T12:48:33Z","cross_cats_sorted":[],"title_canon_sha256":"a50a7b44147a9678e643c7a79c68e304fc098ca199f306e049123e794d6779ac","abstract_canon_sha256":"eb26b42122368f8c06b2e09525ef60b54686e6b25f445fd88ccac74a3faf0518"},"schema_version":"1.0"},"canonical_sha256":"5a8673b9a371ba9a232d38df5a67bc70521c94e28886fa45500c5b240d04c14f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:59:57.863837Z","signature_b64":"eNZ8z4bgKYsPXB7JEdNzAQM9SOWPcVeDJVc90aVZXe4s+SLM1GFhT9A0Dh253teXKEo/WiIbYBi39pHyHj0tCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5a8673b9a371ba9a232d38df5a67bc70521c94e28886fa45500c5b240d04c14f","last_reissued_at":"2026-07-05T07:59:57.863345Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:59:57.863345Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.15773","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":"2026-07-05T07:59:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ypXMATiUN5VqlQFSVJco28A5KyMBOEj4QTaxM7hzS4K15//kfkfWPKSOSAfI/xhuHOcyiKDElyAX+gP11a4SDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T23:01:16.214470Z"},"content_sha256":"e6250f2fc435ac027a1eed6ede9d4227408112931458dc96f1e4dfd78a3ca07a","schema_version":"1.0","event_id":"sha256:e6250f2fc435ac027a1eed6ede9d4227408112931458dc96f1e4dfd78a3ca07a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:LKDHHONDOG5JUIZNHDPVUZ54OB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Check, Locate, Rectify: A Training-Free Layout Calibration System for Text-to-Image Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Biao Gong, Shiwei Zhang, Siteng Huang, Yu Liu, Yutong Feng, Yuyuan Li","submitted_at":"2023-11-27T12:48:33Z","abstract_excerpt":"Diffusion models have recently achieved remarkable progress in generating realistic images. However, challenges remain in accurately understanding and synthesizing the layout requirements in the textual prompts. To align the generated image with layout instructions, we present a training-free layout calibration system SimM that intervenes in the generative process on the fly during inference time. Specifically, following a \"check-locate-rectify\" pipeline, the system first analyses the prompt to generate the target layout and compares it with the intermediate outputs to automatically detect err"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.15773","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/2311.15773/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":"2026-07-05T07:59:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8kVsNbfTtzrg085DzeM6wNDWIDVTeg9uHs7MZzqb0T+4T3xfnsz4AzfD1O42x8ivfCakIhZNZ96jQuBQTm+JDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T23:01:16.214981Z"},"content_sha256":"0e151f74282dd5bbebb18df87e07137d9efb8ee29556419bb78e30ef0f1a65f6","schema_version":"1.0","event_id":"sha256:0e151f74282dd5bbebb18df87e07137d9efb8ee29556419bb78e30ef0f1a65f6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LKDHHONDOG5JUIZNHDPVUZ54OB/bundle.json","state_url":"https://pith.science/pith/LKDHHONDOG5JUIZNHDPVUZ54OB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LKDHHONDOG5JUIZNHDPVUZ54OB/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":"2026-08-13T23:01:16Z","links":{"resolver":"https://pith.science/pith/LKDHHONDOG5JUIZNHDPVUZ54OB","bundle":"https://pith.science/pith/LKDHHONDOG5JUIZNHDPVUZ54OB/bundle.json","state":"https://pith.science/pith/LKDHHONDOG5JUIZNHDPVUZ54OB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LKDHHONDOG5JUIZNHDPVUZ54OB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:LKDHHONDOG5JUIZNHDPVUZ54OB","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":"eb26b42122368f8c06b2e09525ef60b54686e6b25f445fd88ccac74a3faf0518","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-27T12:48:33Z","title_canon_sha256":"a50a7b44147a9678e643c7a79c68e304fc098ca199f306e049123e794d6779ac"},"schema_version":"1.0","source":{"id":"2311.15773","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.15773","created_at":"2026-07-05T07:59:57Z"},{"alias_kind":"arxiv_version","alias_value":"2311.15773v3","created_at":"2026-07-05T07:59:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.15773","created_at":"2026-07-05T07:59:57Z"},{"alias_kind":"pith_short_12","alias_value":"LKDHHONDOG5J","created_at":"2026-07-05T07:59:57Z"},{"alias_kind":"pith_short_16","alias_value":"LKDHHONDOG5JUIZN","created_at":"2026-07-05T07:59:57Z"},{"alias_kind":"pith_short_8","alias_value":"LKDHHOND","created_at":"2026-07-05T07:59:57Z"}],"graph_snapshots":[{"event_id":"sha256:0e151f74282dd5bbebb18df87e07137d9efb8ee29556419bb78e30ef0f1a65f6","target":"graph","created_at":"2026-07-05T07:59:57Z","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/2311.15773/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion models have recently achieved remarkable progress in generating realistic images. However, challenges remain in accurately understanding and synthesizing the layout requirements in the textual prompts. To align the generated image with layout instructions, we present a training-free layout calibration system SimM that intervenes in the generative process on the fly during inference time. Specifically, following a \"check-locate-rectify\" pipeline, the system first analyses the prompt to generate the target layout and compares it with the intermediate outputs to automatically detect err","authors_text":"Biao Gong, Shiwei Zhang, Siteng Huang, Yu Liu, Yutong Feng, Yuyuan Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-27T12:48:33Z","title":"Check, Locate, Rectify: A Training-Free Layout Calibration System for Text-to-Image Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.15773","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:e6250f2fc435ac027a1eed6ede9d4227408112931458dc96f1e4dfd78a3ca07a","target":"record","created_at":"2026-07-05T07:59:57Z","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":"eb26b42122368f8c06b2e09525ef60b54686e6b25f445fd88ccac74a3faf0518","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-27T12:48:33Z","title_canon_sha256":"a50a7b44147a9678e643c7a79c68e304fc098ca199f306e049123e794d6779ac"},"schema_version":"1.0","source":{"id":"2311.15773","kind":"arxiv","version":3}},"canonical_sha256":"5a8673b9a371ba9a232d38df5a67bc70521c94e28886fa45500c5b240d04c14f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5a8673b9a371ba9a232d38df5a67bc70521c94e28886fa45500c5b240d04c14f","first_computed_at":"2026-07-05T07:59:57.863345Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:59:57.863345Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eNZ8z4bgKYsPXB7JEdNzAQM9SOWPcVeDJVc90aVZXe4s+SLM1GFhT9A0Dh253teXKEo/WiIbYBi39pHyHj0tCg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:59:57.863837Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.15773","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e6250f2fc435ac027a1eed6ede9d4227408112931458dc96f1e4dfd78a3ca07a","sha256:0e151f74282dd5bbebb18df87e07137d9efb8ee29556419bb78e30ef0f1a65f6"],"state_sha256":"730ee7462dc6b5b81e92fec9e4bf8b8a3ddb9dbcd483509ec2ccfe788781a002"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RIcAMtrRZSS86YLfRnlsa/Khmd0vgaQskX79MKYNs3kMgmjjjQro1wIYH3RBvQR4BqP9pVGmYgU2xnugnWOfCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T23:01:16.230001Z","bundle_sha256":"38b6548efe3eda35df38638c56940ec7fbbb9d04ca5e03abb214b534f9163636"}}