{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:47ODAVXDD6RRYFWEHGWHFMSQFR","short_pith_number":"pith:47ODAVXD","canonical_record":{"source":{"id":"2206.01714","kind":"arxiv","version":6},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-03T17:47:04Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"8d625e6349184b5cd6d82eeada0bcbda8bbb6a020125cd3d64d874d478a2818c","abstract_canon_sha256":"08101a060368fa170605eefa3628781a083bf5b999ee1d0268d84df9bffb308b"},"schema_version":"1.0"},"canonical_sha256":"e7dc3056e31fa31c16c439ac72b2502c5703bb9b2dcc4b01c89fa2e499ee00df","source":{"kind":"arxiv","id":"2206.01714","version":6},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.01714","created_at":"2026-07-05T05:33:12Z"},{"alias_kind":"arxiv_version","alias_value":"2206.01714v6","created_at":"2026-07-05T05:33:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.01714","created_at":"2026-07-05T05:33:12Z"},{"alias_kind":"pith_short_12","alias_value":"47ODAVXDD6RR","created_at":"2026-07-05T05:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"47ODAVXDD6RRYFWE","created_at":"2026-07-05T05:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"47ODAVXD","created_at":"2026-07-05T05:33:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:47ODAVXDD6RRYFWEHGWHFMSQFR","target":"record","payload":{"canonical_record":{"source":{"id":"2206.01714","kind":"arxiv","version":6},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-03T17:47:04Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"8d625e6349184b5cd6d82eeada0bcbda8bbb6a020125cd3d64d874d478a2818c","abstract_canon_sha256":"08101a060368fa170605eefa3628781a083bf5b999ee1d0268d84df9bffb308b"},"schema_version":"1.0"},"canonical_sha256":"e7dc3056e31fa31c16c439ac72b2502c5703bb9b2dcc4b01c89fa2e499ee00df","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:33:12.151811Z","signature_b64":"N3LBjM14VckX8u7LniFzxTNpaUtoQwxysJJiLKKJzl25iojMqcEWWGJCpOK2WJWkusqS82Qfc7b9p8ZIhZ+xBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e7dc3056e31fa31c16c439ac72b2502c5703bb9b2dcc4b01c89fa2e499ee00df","last_reissued_at":"2026-07-05T05:33:12.151286Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:33:12.151286Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2206.01714","source_version":6,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:33:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nmGhINfpo3nFoXKtG38t+l0WA44gRB6qlujMkr4aEavmHCLnO5G9WJeiMkAZj1xVt368OKxbjhw7OH3vDfzzAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T03:46:14.265760Z"},"content_sha256":"f6a0923a1f932f451ec5e5c610bf7a764e7133c3951aa8c48169e2c27144fa3f","schema_version":"1.0","event_id":"sha256:f6a0923a1f932f451ec5e5c610bf7a764e7133c3951aa8c48169e2c27144fa3f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:47ODAVXDD6RRYFWEHGWHFMSQFR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Compositional Visual Generation with Composable Diffusion Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Antonio Torralba, Joshua B. Tenenbaum, Nan Liu, Shuang Li, Yilun Du","submitted_at":"2022-06-03T17:47:04Z","abstract_excerpt":"Large text-guided diffusion models, such as DALLE-2, are able to generate stunning photorealistic images given natural language descriptions. While such models are highly flexible, they struggle to understand the composition of certain concepts, such as confusing the attributes of different objects or relations between objects. In this paper, we propose an alternative structured approach for compositional generation using diffusion models. An image is generated by composing a set of diffusion models, with each of them modeling a certain component of the image. To do this, we interpret diffusio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.01714","kind":"arxiv","version":6},"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/2206.01714/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":"2026-07-05T05:33:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0KAoRhVaS/hwzQd7uL3uLxZdIG15cMXPc6G2FaV/AZPwYyVcpN8wfQDGmKIi5Nk3Fv80Gl6LWB4Ql+z16sjZBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T03:46:14.266695Z"},"content_sha256":"16597501f09193c8362b139e6fd51d2da372a45dc2e98115aa3c706e26de3c5f","schema_version":"1.0","event_id":"sha256:16597501f09193c8362b139e6fd51d2da372a45dc2e98115aa3c706e26de3c5f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/47ODAVXDD6RRYFWEHGWHFMSQFR/bundle.json","state_url":"https://pith.science/pith/47ODAVXDD6RRYFWEHGWHFMSQFR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/47ODAVXDD6RRYFWEHGWHFMSQFR/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":"2026-08-06T03:46:14Z","links":{"resolver":"https://pith.science/pith/47ODAVXDD6RRYFWEHGWHFMSQFR","bundle":"https://pith.science/pith/47ODAVXDD6RRYFWEHGWHFMSQFR/bundle.json","state":"https://pith.science/pith/47ODAVXDD6RRYFWEHGWHFMSQFR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/47ODAVXDD6RRYFWEHGWHFMSQFR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:47ODAVXDD6RRYFWEHGWHFMSQFR","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":"08101a060368fa170605eefa3628781a083bf5b999ee1d0268d84df9bffb308b","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-03T17:47:04Z","title_canon_sha256":"8d625e6349184b5cd6d82eeada0bcbda8bbb6a020125cd3d64d874d478a2818c"},"schema_version":"1.0","source":{"id":"2206.01714","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.01714","created_at":"2026-07-05T05:33:12Z"},{"alias_kind":"arxiv_version","alias_value":"2206.01714v6","created_at":"2026-07-05T05:33:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.01714","created_at":"2026-07-05T05:33:12Z"},{"alias_kind":"pith_short_12","alias_value":"47ODAVXDD6RR","created_at":"2026-07-05T05:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"47ODAVXDD6RRYFWE","created_at":"2026-07-05T05:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"47ODAVXD","created_at":"2026-07-05T05:33:12Z"}],"graph_snapshots":[{"event_id":"sha256:16597501f09193c8362b139e6fd51d2da372a45dc2e98115aa3c706e26de3c5f","target":"graph","created_at":"2026-07-05T05:33:12Z","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/2206.01714/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large text-guided diffusion models, such as DALLE-2, are able to generate stunning photorealistic images given natural language descriptions. While such models are highly flexible, they struggle to understand the composition of certain concepts, such as confusing the attributes of different objects or relations between objects. In this paper, we propose an alternative structured approach for compositional generation using diffusion models. An image is generated by composing a set of diffusion models, with each of them modeling a certain component of the image. To do this, we interpret diffusio","authors_text":"Antonio Torralba, Joshua B. Tenenbaum, Nan Liu, Shuang Li, Yilun Du","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-03T17:47:04Z","title":"Compositional Visual Generation with Composable Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.01714","kind":"arxiv","version":6},"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:f6a0923a1f932f451ec5e5c610bf7a764e7133c3951aa8c48169e2c27144fa3f","target":"record","created_at":"2026-07-05T05:33:12Z","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":"08101a060368fa170605eefa3628781a083bf5b999ee1d0268d84df9bffb308b","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-03T17:47:04Z","title_canon_sha256":"8d625e6349184b5cd6d82eeada0bcbda8bbb6a020125cd3d64d874d478a2818c"},"schema_version":"1.0","source":{"id":"2206.01714","kind":"arxiv","version":6}},"canonical_sha256":"e7dc3056e31fa31c16c439ac72b2502c5703bb9b2dcc4b01c89fa2e499ee00df","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e7dc3056e31fa31c16c439ac72b2502c5703bb9b2dcc4b01c89fa2e499ee00df","first_computed_at":"2026-07-05T05:33:12.151286Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:33:12.151286Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"N3LBjM14VckX8u7LniFzxTNpaUtoQwxysJJiLKKJzl25iojMqcEWWGJCpOK2WJWkusqS82Qfc7b9p8ZIhZ+xBA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:33:12.151811Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.01714","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f6a0923a1f932f451ec5e5c610bf7a764e7133c3951aa8c48169e2c27144fa3f","sha256:16597501f09193c8362b139e6fd51d2da372a45dc2e98115aa3c706e26de3c5f"],"state_sha256":"e2be1e0db8cd633c4348c0f537b3bf0fa35380263d2c65b567835f741459b898"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QI+FCCW2i+R3vykIv1/Vh2mlUvqti+9xX0jeOz3ALhrcMwtI7OpB0eJwZQaF1TyMdJ0mjgkTX8cbhzjeMlzABg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T03:46:14.271388Z","bundle_sha256":"7d200b5ec17774e570d1dfd5fad682e8b89112c6fed403fce5d6ffeb6b391f9b"}}