{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:6JPH3JL4WYL3F7YJJTB4RJAVOM","short_pith_number":"pith:6JPH3JL4","canonical_record":{"source":{"id":"2507.18569","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-24T16:45:05Z","cross_cats_sorted":[],"title_canon_sha256":"6896ee87f4822d671478b8b142a88c00ebfe27b02def65bca6998306f3a6fae7","abstract_canon_sha256":"c1c75406d4ee9d209e55dfb6d0a8a6cc2f3f3dae0c705b62a8066ac426b5d5c6"},"schema_version":"1.0"},"canonical_sha256":"f25e7da57cb617b2ff094cc3c8a4157321537e943448f8a8ff4176f6299941ac","source":{"kind":"arxiv","id":"2507.18569","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.18569","created_at":"2026-07-05T11:42:50Z"},{"alias_kind":"arxiv_version","alias_value":"2507.18569v1","created_at":"2026-07-05T11:42:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.18569","created_at":"2026-07-05T11:42:50Z"},{"alias_kind":"pith_short_12","alias_value":"6JPH3JL4WYL3","created_at":"2026-07-05T11:42:50Z"},{"alias_kind":"pith_short_16","alias_value":"6JPH3JL4WYL3F7YJ","created_at":"2026-07-05T11:42:50Z"},{"alias_kind":"pith_short_8","alias_value":"6JPH3JL4","created_at":"2026-07-05T11:42:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:6JPH3JL4WYL3F7YJJTB4RJAVOM","target":"record","payload":{"canonical_record":{"source":{"id":"2507.18569","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-24T16:45:05Z","cross_cats_sorted":[],"title_canon_sha256":"6896ee87f4822d671478b8b142a88c00ebfe27b02def65bca6998306f3a6fae7","abstract_canon_sha256":"c1c75406d4ee9d209e55dfb6d0a8a6cc2f3f3dae0c705b62a8066ac426b5d5c6"},"schema_version":"1.0"},"canonical_sha256":"f25e7da57cb617b2ff094cc3c8a4157321537e943448f8a8ff4176f6299941ac","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:42:50.211635Z","signature_b64":"unXPJJT2oN4BffeMeomOr3Zvc63eYr5A5v9cSqUK1/PhsEuvmYBaskKBaWsMFqbKdb9A2V3z/1S/hf0WGd6uCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f25e7da57cb617b2ff094cc3c8a4157321537e943448f8a8ff4176f6299941ac","last_reissued_at":"2026-07-05T11:42:50.211225Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:42:50.211225Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.18569","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:42:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5eHoqNOjCaSV4+UVFfG4W5ouL87wYtII7lFa26rxPU7SU9A4sNXh/pqpotobFNmitrCvOsaPVsnwviVNqMSxCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T16:29:18.765543Z"},"content_sha256":"19ae4a74beeac2c56763330ab1b5e0e040a49445e5cdf275e420944aaa4af05a","schema_version":"1.0","event_id":"sha256:19ae4a74beeac2c56763330ab1b5e0e040a49445e5cdf275e420944aaa4af05a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:6JPH3JL4WYL3F7YJJTB4RJAVOM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Andy J. Ma, Jian-Huang Lai, Shanchuan Lin, Xiaohua Xie, Xing Wang, Xin Xia, Xuefeng Xiao, Yanzuo Lu, Yuxi Ren","submitted_at":"2025-07-24T16:45:05Z","abstract_excerpt":"Distribution Matching Distillation (DMD) is a promising score distillation technique that compresses pre-trained teacher diffusion models into efficient one-step or multi-step student generators. Nevertheless, its reliance on the reverse Kullback-Leibler (KL) divergence minimization potentially induces mode collapse (or mode-seeking) in certain applications. To circumvent this inherent drawback, we propose Adversarial Distribution Matching (ADM), a novel framework that leverages diffusion-based discriminators to align the latent predictions between real and fake score estimators for score dist"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.18569","kind":"arxiv","version":1},"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/2507.18569/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":"2026-07-05T11:42:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b6ubyat5sg5oBpV6ZGAZnbFKeC5/hLEybpZfHuftkLFE1/wHuKXiyKPHIWkFn/c3uBU/LU/bBg8zRWuLp9FxDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T16:29:18.766047Z"},"content_sha256":"5fc72b3ecd6347ef3f2a497de53b97695e7edbcee68d46dac6c61e749dcbc4b7","schema_version":"1.0","event_id":"sha256:5fc72b3ecd6347ef3f2a497de53b97695e7edbcee68d46dac6c61e749dcbc4b7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6JPH3JL4WYL3F7YJJTB4RJAVOM/bundle.json","state_url":"https://pith.science/pith/6JPH3JL4WYL3F7YJJTB4RJAVOM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6JPH3JL4WYL3F7YJJTB4RJAVOM/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":"2026-08-10T16:29:18Z","links":{"resolver":"https://pith.science/pith/6JPH3JL4WYL3F7YJJTB4RJAVOM","bundle":"https://pith.science/pith/6JPH3JL4WYL3F7YJJTB4RJAVOM/bundle.json","state":"https://pith.science/pith/6JPH3JL4WYL3F7YJJTB4RJAVOM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6JPH3JL4WYL3F7YJJTB4RJAVOM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:6JPH3JL4WYL3F7YJJTB4RJAVOM","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":"c1c75406d4ee9d209e55dfb6d0a8a6cc2f3f3dae0c705b62a8066ac426b5d5c6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-24T16:45:05Z","title_canon_sha256":"6896ee87f4822d671478b8b142a88c00ebfe27b02def65bca6998306f3a6fae7"},"schema_version":"1.0","source":{"id":"2507.18569","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.18569","created_at":"2026-07-05T11:42:50Z"},{"alias_kind":"arxiv_version","alias_value":"2507.18569v1","created_at":"2026-07-05T11:42:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.18569","created_at":"2026-07-05T11:42:50Z"},{"alias_kind":"pith_short_12","alias_value":"6JPH3JL4WYL3","created_at":"2026-07-05T11:42:50Z"},{"alias_kind":"pith_short_16","alias_value":"6JPH3JL4WYL3F7YJ","created_at":"2026-07-05T11:42:50Z"},{"alias_kind":"pith_short_8","alias_value":"6JPH3JL4","created_at":"2026-07-05T11:42:50Z"}],"graph_snapshots":[{"event_id":"sha256:5fc72b3ecd6347ef3f2a497de53b97695e7edbcee68d46dac6c61e749dcbc4b7","target":"graph","created_at":"2026-07-05T11:42:50Z","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/2507.18569/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Distribution Matching Distillation (DMD) is a promising score distillation technique that compresses pre-trained teacher diffusion models into efficient one-step or multi-step student generators. Nevertheless, its reliance on the reverse Kullback-Leibler (KL) divergence minimization potentially induces mode collapse (or mode-seeking) in certain applications. To circumvent this inherent drawback, we propose Adversarial Distribution Matching (ADM), a novel framework that leverages diffusion-based discriminators to align the latent predictions between real and fake score estimators for score dist","authors_text":"Andy J. Ma, Jian-Huang Lai, Shanchuan Lin, Xiaohua Xie, Xing Wang, Xin Xia, Xuefeng Xiao, Yanzuo Lu, Yuxi Ren","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-24T16:45:05Z","title":"Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.18569","kind":"arxiv","version":1},"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":"sha256:19ae4a74beeac2c56763330ab1b5e0e040a49445e5cdf275e420944aaa4af05a","target":"record","created_at":"2026-07-05T11:42:50Z","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":"c1c75406d4ee9d209e55dfb6d0a8a6cc2f3f3dae0c705b62a8066ac426b5d5c6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-24T16:45:05Z","title_canon_sha256":"6896ee87f4822d671478b8b142a88c00ebfe27b02def65bca6998306f3a6fae7"},"schema_version":"1.0","source":{"id":"2507.18569","kind":"arxiv","version":1}},"canonical_sha256":"f25e7da57cb617b2ff094cc3c8a4157321537e943448f8a8ff4176f6299941ac","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f25e7da57cb617b2ff094cc3c8a4157321537e943448f8a8ff4176f6299941ac","first_computed_at":"2026-07-05T11:42:50.211225Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:42:50.211225Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"unXPJJT2oN4BffeMeomOr3Zvc63eYr5A5v9cSqUK1/PhsEuvmYBaskKBaWsMFqbKdb9A2V3z/1S/hf0WGd6uCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:42:50.211635Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.18569","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:19ae4a74beeac2c56763330ab1b5e0e040a49445e5cdf275e420944aaa4af05a","sha256:5fc72b3ecd6347ef3f2a497de53b97695e7edbcee68d46dac6c61e749dcbc4b7"],"state_sha256":"99d5859a169fa3b33bc655821c398bbb46723c6f945f3d8dc6e5c9cbbe1bd1d7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"W6NaGeL4WqwsOuJXskCiauCd7/FxvitGwPYvQu8+0LPJBnoaocunSyyyAM2QNf8dv9kpbMg93DHj8OavgAiMDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T16:29:18.769923Z","bundle_sha256":"249cc1347840235e17019760493c3a2f32cf0438546cf276e02f4c194ae60444"}}