{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ONXCDEEM7ORQGICDZHJPR6DNTF","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":"cb0f1a6c5e64c830fb5a9afec1377784d7a0cf5a829883496235191247c8b8b7","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-25T18:59:57Z","title_canon_sha256":"acfd089dc80a05d5d201516f0f68ff2f6a1caf1233424b0bfeaa5028216b2497"},"schema_version":"1.0","source":{"id":"2401.14404","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.14404","created_at":"2026-07-05T07:37:35Z"},{"alias_kind":"arxiv_version","alias_value":"2401.14404v1","created_at":"2026-07-05T07:37:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.14404","created_at":"2026-07-05T07:37:35Z"},{"alias_kind":"pith_short_12","alias_value":"ONXCDEEM7ORQ","created_at":"2026-07-05T07:37:35Z"},{"alias_kind":"pith_short_16","alias_value":"ONXCDEEM7ORQGICD","created_at":"2026-07-05T07:37:35Z"},{"alias_kind":"pith_short_8","alias_value":"ONXCDEEM","created_at":"2026-07-05T07:37:35Z"}],"graph_snapshots":[{"event_id":"sha256:0fe43514aff75993a63590f3a385385e8ca9a5d95ba9d699c82b3af0f657b12d","target":"graph","created_at":"2026-07-05T07:37:35Z","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/2401.14404/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this study, we examine the representation learning abilities of Denoising Diffusion Models (DDM) that were originally purposed for image generation. Our philosophy is to deconstruct a DDM, gradually transforming it into a classical Denoising Autoencoder (DAE). This deconstructive procedure allows us to explore how various components of modern DDMs influence self-supervised representation learning. We observe that only a very few modern components are critical for learning good representations, while many others are nonessential. Our study ultimately arrives at an approach that is highly sim","authors_text":"Kaiming He, Saining Xie, Xinlei Chen, Zhuang Liu","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-25T18:59:57Z","title":"Deconstructing Denoising Diffusion Models for Self-Supervised Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.14404","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":"sha256:483a0db435bbc8c129c1775beb9869884d1788ce72d062609eccec43e87e5359","target":"record","created_at":"2026-07-05T07:37:35Z","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":"cb0f1a6c5e64c830fb5a9afec1377784d7a0cf5a829883496235191247c8b8b7","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-25T18:59:57Z","title_canon_sha256":"acfd089dc80a05d5d201516f0f68ff2f6a1caf1233424b0bfeaa5028216b2497"},"schema_version":"1.0","source":{"id":"2401.14404","kind":"arxiv","version":1}},"canonical_sha256":"736e21908cfba3032043c9d2f8f86d997d5bf9aae79038063b60102cf2f21b17","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"736e21908cfba3032043c9d2f8f86d997d5bf9aae79038063b60102cf2f21b17","first_computed_at":"2026-07-05T07:37:35.162598Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:37:35.162598Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Iai/KsEJoHy+8Kew5rYVpYGiX9tjiLBXDAYpMmGtC2d4KXpatRcykEsaE3wRzAoOycEKPwISlY+IAwqX7JRkAg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:37:35.163061Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.14404","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:483a0db435bbc8c129c1775beb9869884d1788ce72d062609eccec43e87e5359","sha256:0fe43514aff75993a63590f3a385385e8ca9a5d95ba9d699c82b3af0f657b12d"],"state_sha256":"c5d28e8dd2ac956f53105b7936ced701159ed59684f13e2c62000d13c6a09edf"}