{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:DMPWA53M2VTAXNMPX6CSIVJYJL","short_pith_number":"pith:DMPWA53M","canonical_record":{"source":{"id":"2405.17082","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-27T11:55:35Z","cross_cats_sorted":[],"title_canon_sha256":"b1f0bb9956efef9aafb6c2b597c0071f339253dc97cf2348bc0260c3cbbcbddc","abstract_canon_sha256":"60df1ed2bc23d46eda75b023696d3312f51df35d40c8a74731774ed7d3f16694"},"schema_version":"1.0"},"canonical_sha256":"1b1f60776cd5660bb58fbf852455384adc1d73384aeed5a35ecf8d0337cd972d","source":{"kind":"arxiv","id":"2405.17082","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.17082","created_at":"2026-07-05T10:18:37Z"},{"alias_kind":"arxiv_version","alias_value":"2405.17082v2","created_at":"2026-07-05T10:18:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.17082","created_at":"2026-07-05T10:18:37Z"},{"alias_kind":"pith_short_12","alias_value":"DMPWA53M2VTA","created_at":"2026-07-05T10:18:37Z"},{"alias_kind":"pith_short_16","alias_value":"DMPWA53M2VTAXNMP","created_at":"2026-07-05T10:18:37Z"},{"alias_kind":"pith_short_8","alias_value":"DMPWA53M","created_at":"2026-07-05T10:18:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:DMPWA53M2VTAXNMPX6CSIVJYJL","target":"record","payload":{"canonical_record":{"source":{"id":"2405.17082","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-27T11:55:35Z","cross_cats_sorted":[],"title_canon_sha256":"b1f0bb9956efef9aafb6c2b597c0071f339253dc97cf2348bc0260c3cbbcbddc","abstract_canon_sha256":"60df1ed2bc23d46eda75b023696d3312f51df35d40c8a74731774ed7d3f16694"},"schema_version":"1.0"},"canonical_sha256":"1b1f60776cd5660bb58fbf852455384adc1d73384aeed5a35ecf8d0337cd972d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:18:37.448338Z","signature_b64":"yGyiA5h1jQwGk/bGObk1bgz49P66fBkpOJeZUC2p1Tq7lJQolGFkodRD9GweKXX8q9lRhtQeCCMQr5wKHrAECQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1b1f60776cd5660bb58fbf852455384adc1d73384aeed5a35ecf8d0337cd972d","last_reissued_at":"2026-07-05T10:18:37.447809Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:18:37.447809Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.17082","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:18:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cB61s2eFkLZIg2hw1hBwR6TCc8lHwt3trwHruzSKxHhQjmErMnD9+v0F4nhTACeRBUr6ettzem/Iz5+9EU5LCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:32:41.829943Z"},"content_sha256":"d26381c404747d6fbfc1962e40df07b39f626ac27d519edcecd4428a7cfea44a","schema_version":"1.0","event_id":"sha256:d26381c404747d6fbfc1962e40df07b39f626ac27d519edcecd4428a7cfea44a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:DMPWA53M2VTAXNMPX6CSIVJYJL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Ensembling Diffusion Models via Adaptive Feature Aggregation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Cong Wang, Fei Shen, Jun Zhang, Kuan Tian, Qing Gu, Yonghang Guan, Zhiwei Jiang","submitted_at":"2024-05-27T11:55:35Z","abstract_excerpt":"The success of the text-guided diffusion model has inspired the development and release of numerous powerful diffusion models within the open-source community. These models are typically fine-tuned on various expert datasets, showcasing diverse denoising capabilities. Leveraging multiple high-quality models to produce stronger generation ability is valuable, but has not been extensively studied. Existing methods primarily adopt parameter merging strategies to produce a new static model. However, they overlook the fact that the divergent denoising capabilities of the models may dynamically chan"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.17082","kind":"arxiv","version":2},"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/2405.17082/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":"2026-07-05T10:18:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kk7dtn115FnpL9lRYZVa4JkCQohPi9Dpf+Q8DTxL7pa8ms2y8uIsd14eqMy7MApZ+exdUUeCFEO8EsnwFGGzAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:32:41.830642Z"},"content_sha256":"6893565ae76ff014ebdcb6353f877ea26f40048823dd5747b5ba81a4e548e239","schema_version":"1.0","event_id":"sha256:6893565ae76ff014ebdcb6353f877ea26f40048823dd5747b5ba81a4e548e239"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DMPWA53M2VTAXNMPX6CSIVJYJL/bundle.json","state_url":"https://pith.science/pith/DMPWA53M2VTAXNMPX6CSIVJYJL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DMPWA53M2VTAXNMPX6CSIVJYJL/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":"2026-08-07T18:32:41Z","links":{"resolver":"https://pith.science/pith/DMPWA53M2VTAXNMPX6CSIVJYJL","bundle":"https://pith.science/pith/DMPWA53M2VTAXNMPX6CSIVJYJL/bundle.json","state":"https://pith.science/pith/DMPWA53M2VTAXNMPX6CSIVJYJL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DMPWA53M2VTAXNMPX6CSIVJYJL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DMPWA53M2VTAXNMPX6CSIVJYJL","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":"60df1ed2bc23d46eda75b023696d3312f51df35d40c8a74731774ed7d3f16694","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-27T11:55:35Z","title_canon_sha256":"b1f0bb9956efef9aafb6c2b597c0071f339253dc97cf2348bc0260c3cbbcbddc"},"schema_version":"1.0","source":{"id":"2405.17082","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.17082","created_at":"2026-07-05T10:18:37Z"},{"alias_kind":"arxiv_version","alias_value":"2405.17082v2","created_at":"2026-07-05T10:18:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.17082","created_at":"2026-07-05T10:18:37Z"},{"alias_kind":"pith_short_12","alias_value":"DMPWA53M2VTA","created_at":"2026-07-05T10:18:37Z"},{"alias_kind":"pith_short_16","alias_value":"DMPWA53M2VTAXNMP","created_at":"2026-07-05T10:18:37Z"},{"alias_kind":"pith_short_8","alias_value":"DMPWA53M","created_at":"2026-07-05T10:18:37Z"}],"graph_snapshots":[{"event_id":"sha256:6893565ae76ff014ebdcb6353f877ea26f40048823dd5747b5ba81a4e548e239","target":"graph","created_at":"2026-07-05T10:18:37Z","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/2405.17082/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The success of the text-guided diffusion model has inspired the development and release of numerous powerful diffusion models within the open-source community. These models are typically fine-tuned on various expert datasets, showcasing diverse denoising capabilities. Leveraging multiple high-quality models to produce stronger generation ability is valuable, but has not been extensively studied. Existing methods primarily adopt parameter merging strategies to produce a new static model. However, they overlook the fact that the divergent denoising capabilities of the models may dynamically chan","authors_text":"Cong Wang, Fei Shen, Jun Zhang, Kuan Tian, Qing Gu, Yonghang Guan, Zhiwei Jiang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-27T11:55:35Z","title":"Ensembling Diffusion Models via Adaptive Feature Aggregation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.17082","kind":"arxiv","version":2},"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:d26381c404747d6fbfc1962e40df07b39f626ac27d519edcecd4428a7cfea44a","target":"record","created_at":"2026-07-05T10:18:37Z","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":"60df1ed2bc23d46eda75b023696d3312f51df35d40c8a74731774ed7d3f16694","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-27T11:55:35Z","title_canon_sha256":"b1f0bb9956efef9aafb6c2b597c0071f339253dc97cf2348bc0260c3cbbcbddc"},"schema_version":"1.0","source":{"id":"2405.17082","kind":"arxiv","version":2}},"canonical_sha256":"1b1f60776cd5660bb58fbf852455384adc1d73384aeed5a35ecf8d0337cd972d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1b1f60776cd5660bb58fbf852455384adc1d73384aeed5a35ecf8d0337cd972d","first_computed_at":"2026-07-05T10:18:37.447809Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:18:37.447809Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yGyiA5h1jQwGk/bGObk1bgz49P66fBkpOJeZUC2p1Tq7lJQolGFkodRD9GweKXX8q9lRhtQeCCMQr5wKHrAECQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:18:37.448338Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.17082","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d26381c404747d6fbfc1962e40df07b39f626ac27d519edcecd4428a7cfea44a","sha256:6893565ae76ff014ebdcb6353f877ea26f40048823dd5747b5ba81a4e548e239"],"state_sha256":"21ecc3bd4494c9fd9a4e29ea723b7162c9b471f82c30c282ba1ab0c59b9d1257"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8dHLty03A/aOdzlg2tZBiUKARrw8hPJN2GnXXzaan1qAVHfBKQT3M8g8HRoKVzos1CSKf1fZGpizVhng6c8VAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T18:32:41.836691Z","bundle_sha256":"5fc9d130b647d5f780a4ada2ae84079211793822ab63d24938be963e6ce2de3a"}}