{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:CKTMG2OXN32Y7FIE36AU6LDLBD","short_pith_number":"pith:CKTMG2OX","canonical_record":{"source":{"id":"2412.21044","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-30T16:06:31Z","cross_cats_sorted":[],"title_canon_sha256":"24764d98a34298a0f09eceded202bf0f093e084a4d2ab714b603b6ffa3947bd1","abstract_canon_sha256":"7fb029ca38e4543f321e3042e2a20966aa2925a0bfa78dc3f37a2bc2a797d9bc"},"schema_version":"1.0"},"canonical_sha256":"12a6c369d76ef58f9504df814f2c6b08f6bcbcc84cb945b57cf39b56807f44aa","source":{"kind":"arxiv","id":"2412.21044","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.21044","created_at":"2026-07-05T10:27:22Z"},{"alias_kind":"arxiv_version","alias_value":"2412.21044v2","created_at":"2026-07-05T10:27:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.21044","created_at":"2026-07-05T10:27:22Z"},{"alias_kind":"pith_short_12","alias_value":"CKTMG2OXN32Y","created_at":"2026-07-05T10:27:22Z"},{"alias_kind":"pith_short_16","alias_value":"CKTMG2OXN32Y7FIE","created_at":"2026-07-05T10:27:22Z"},{"alias_kind":"pith_short_8","alias_value":"CKTMG2OX","created_at":"2026-07-05T10:27:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:CKTMG2OXN32Y7FIE36AU6LDLBD","target":"record","payload":{"canonical_record":{"source":{"id":"2412.21044","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-30T16:06:31Z","cross_cats_sorted":[],"title_canon_sha256":"24764d98a34298a0f09eceded202bf0f093e084a4d2ab714b603b6ffa3947bd1","abstract_canon_sha256":"7fb029ca38e4543f321e3042e2a20966aa2925a0bfa78dc3f37a2bc2a797d9bc"},"schema_version":"1.0"},"canonical_sha256":"12a6c369d76ef58f9504df814f2c6b08f6bcbcc84cb945b57cf39b56807f44aa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:27:22.601420Z","signature_b64":"3SufEWA/bJNMh574rKFiroShIYd327ksZdvpdhtlh3w4In2K6LHcwONjwpVORBWQb9xBj9MgHqKiKaKTuFjoAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"12a6c369d76ef58f9504df814f2c6b08f6bcbcc84cb945b57cf39b56807f44aa","last_reissued_at":"2026-07-05T10:27:22.600394Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:27:22.600394Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.21044","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":"2026-07-05T10:27:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VNTjaq9O5RzBhV3ycHYJTCr2YWzs3WVqgBnkm0VE0mftZmzm4+DKwYHCsNZmFOIGrMVXuSGEagAjPBkel7feCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T21:51:34.127351Z"},"content_sha256":"690d158b5673980b38509a519d857a70d9dc18f31278f77652c4fd6c20fe8211","schema_version":"1.0","event_id":"sha256:690d158b5673980b38509a519d857a70d9dc18f31278f77652c4fd6c20fe8211"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:CKTMG2OXN32Y7FIE36AU6LDLBD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"E2ED^2:Direct Mapping from Noise to Data for Enhanced Diffusion Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hao Li, Hesen Chen, Lei Chen, Mengping Yang, Wenxu Qian, Zhiyu Tan","submitted_at":"2024-12-30T16:06:31Z","abstract_excerpt":"Diffusion models have established themselves as the de facto primary paradigm in visual generative modeling, revolutionizing the field through remarkable success across various diverse applications ranging from high-quality image synthesis to temporal aware video generation. Despite these advancements, three fundamental limitations persist, including 1) discrepancy between training and inference processes, 2) progressive information leakage throughout the noise corruption procedures, and 3) inherent constraints preventing effective integration of modern optimization criteria like perceptual an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.21044","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/2412.21044/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":"2026-07-05T10:27:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tjoAV2pz66jkVDRPuemSwYt0KOh1QyLkrNrOjMpPEKjdlDxT0R1qM+xpGOp2buMLvAmFPNq/XZiOOc/sLWIPAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T21:51:34.127841Z"},"content_sha256":"a8d096ef67da341a4cc372dbd5af58b3fb4b8bf78c0f384de1472ce4ade30aff","schema_version":"1.0","event_id":"sha256:a8d096ef67da341a4cc372dbd5af58b3fb4b8bf78c0f384de1472ce4ade30aff"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CKTMG2OXN32Y7FIE36AU6LDLBD/bundle.json","state_url":"https://pith.science/pith/CKTMG2OXN32Y7FIE36AU6LDLBD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CKTMG2OXN32Y7FIE36AU6LDLBD/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":"2026-08-20T21:51:34Z","links":{"resolver":"https://pith.science/pith/CKTMG2OXN32Y7FIE36AU6LDLBD","bundle":"https://pith.science/pith/CKTMG2OXN32Y7FIE36AU6LDLBD/bundle.json","state":"https://pith.science/pith/CKTMG2OXN32Y7FIE36AU6LDLBD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CKTMG2OXN32Y7FIE36AU6LDLBD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:CKTMG2OXN32Y7FIE36AU6LDLBD","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":"7fb029ca38e4543f321e3042e2a20966aa2925a0bfa78dc3f37a2bc2a797d9bc","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-30T16:06:31Z","title_canon_sha256":"24764d98a34298a0f09eceded202bf0f093e084a4d2ab714b603b6ffa3947bd1"},"schema_version":"1.0","source":{"id":"2412.21044","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.21044","created_at":"2026-07-05T10:27:22Z"},{"alias_kind":"arxiv_version","alias_value":"2412.21044v2","created_at":"2026-07-05T10:27:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.21044","created_at":"2026-07-05T10:27:22Z"},{"alias_kind":"pith_short_12","alias_value":"CKTMG2OXN32Y","created_at":"2026-07-05T10:27:22Z"},{"alias_kind":"pith_short_16","alias_value":"CKTMG2OXN32Y7FIE","created_at":"2026-07-05T10:27:22Z"},{"alias_kind":"pith_short_8","alias_value":"CKTMG2OX","created_at":"2026-07-05T10:27:22Z"}],"graph_snapshots":[{"event_id":"sha256:a8d096ef67da341a4cc372dbd5af58b3fb4b8bf78c0f384de1472ce4ade30aff","target":"graph","created_at":"2026-07-05T10:27:22Z","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/2412.21044/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion models have established themselves as the de facto primary paradigm in visual generative modeling, revolutionizing the field through remarkable success across various diverse applications ranging from high-quality image synthesis to temporal aware video generation. Despite these advancements, three fundamental limitations persist, including 1) discrepancy between training and inference processes, 2) progressive information leakage throughout the noise corruption procedures, and 3) inherent constraints preventing effective integration of modern optimization criteria like perceptual an","authors_text":"Hao Li, Hesen Chen, Lei Chen, Mengping Yang, Wenxu Qian, Zhiyu Tan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-30T16:06:31Z","title":"E2ED^2:Direct Mapping from Noise to Data for Enhanced Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.21044","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":"sha256:690d158b5673980b38509a519d857a70d9dc18f31278f77652c4fd6c20fe8211","target":"record","created_at":"2026-07-05T10:27:22Z","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":"7fb029ca38e4543f321e3042e2a20966aa2925a0bfa78dc3f37a2bc2a797d9bc","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-30T16:06:31Z","title_canon_sha256":"24764d98a34298a0f09eceded202bf0f093e084a4d2ab714b603b6ffa3947bd1"},"schema_version":"1.0","source":{"id":"2412.21044","kind":"arxiv","version":2}},"canonical_sha256":"12a6c369d76ef58f9504df814f2c6b08f6bcbcc84cb945b57cf39b56807f44aa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"12a6c369d76ef58f9504df814f2c6b08f6bcbcc84cb945b57cf39b56807f44aa","first_computed_at":"2026-07-05T10:27:22.600394Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:27:22.600394Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3SufEWA/bJNMh574rKFiroShIYd327ksZdvpdhtlh3w4In2K6LHcwONjwpVORBWQb9xBj9MgHqKiKaKTuFjoAw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:27:22.601420Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.21044","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:690d158b5673980b38509a519d857a70d9dc18f31278f77652c4fd6c20fe8211","sha256:a8d096ef67da341a4cc372dbd5af58b3fb4b8bf78c0f384de1472ce4ade30aff"],"state_sha256":"031df253f761b049f2c6607689e071180d9566e9b8b609ad85b3da5be5492ec9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9MJIhWI8wFDDNiT19OqEsDX2sgjG6QeUa4ThbPYXFqf35jybfxG6Yc/hOj+CTi+J5vvrJgK/UNzCIIiBREauCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T21:51:34.131563Z","bundle_sha256":"b7fd5e139af3c459d0e01616c290b891bcb8cf286886266ed01e4af37fe141d9"}}