{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:YCN4EC3AQTVKWGYUHLDVMPHYUH","short_pith_number":"pith:YCN4EC3A","canonical_record":{"source":{"id":"2409.07756","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-12T05:18:57Z","cross_cats_sorted":[],"title_canon_sha256":"d6bea85d4a44c4a224728458f6f9d42d5ddb8de331ce91a419a8205ba9c0fba2","abstract_canon_sha256":"53e69910be7dfc524307eebe672f9a6e0a62fe0bccad0952ca8ef7d948584511"},"schema_version":"1.0"},"canonical_sha256":"c09bc20b6084eaab1b143ac7563cf8a1db6113f5f10f606694f9e120a266dee6","source":{"kind":"arxiv","id":"2409.07756","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.07756","created_at":"2026-07-05T09:39:58Z"},{"alias_kind":"arxiv_version","alias_value":"2409.07756v2","created_at":"2026-07-05T09:39:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.07756","created_at":"2026-07-05T09:39:58Z"},{"alias_kind":"pith_short_12","alias_value":"YCN4EC3AQTVK","created_at":"2026-07-05T09:39:58Z"},{"alias_kind":"pith_short_16","alias_value":"YCN4EC3AQTVKWGYU","created_at":"2026-07-05T09:39:58Z"},{"alias_kind":"pith_short_8","alias_value":"YCN4EC3A","created_at":"2026-07-05T09:39:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:YCN4EC3AQTVKWGYUHLDVMPHYUH","target":"record","payload":{"canonical_record":{"source":{"id":"2409.07756","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-12T05:18:57Z","cross_cats_sorted":[],"title_canon_sha256":"d6bea85d4a44c4a224728458f6f9d42d5ddb8de331ce91a419a8205ba9c0fba2","abstract_canon_sha256":"53e69910be7dfc524307eebe672f9a6e0a62fe0bccad0952ca8ef7d948584511"},"schema_version":"1.0"},"canonical_sha256":"c09bc20b6084eaab1b143ac7563cf8a1db6113f5f10f606694f9e120a266dee6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:39:58.362592Z","signature_b64":"Ls7kkv3IunYRpPHLDSQysYijTGPOqxZcF7qYKvb60/bOR5/3Kigx96qjoejLDxNY+Pq0iyN5WNAGjbTFTWf9Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c09bc20b6084eaab1b143ac7563cf8a1db6113f5f10f606694f9e120a266dee6","last_reissued_at":"2026-07-05T09:39:58.362123Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:39:58.362123Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.07756","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":"2026-07-05T09:39:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ro5WAWxKj81hGywpOvAo5KBhnNr9QpR6E5DpPuoBaIDCDwND8ZNFrjvFmS9Woudlg7TXk5M2R0zXR8im+MJuCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T07:07:39.702521Z"},"content_sha256":"3efebeaacb8c52578b525ad7c7b5a315fb49b93f2b568ce7b355c14363169f7e","schema_version":"1.0","event_id":"sha256:3efebeaacb8c52578b525ad7c7b5a315fb49b93f2b568ce7b355c14363169f7e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:YCN4EC3AQTVKWGYUHLDVMPHYUH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Sai Qian Zhang, Zhenyuan Dong","submitted_at":"2024-09-12T05:18:57Z","abstract_excerpt":"Diffusion Transformers (DiTs) have recently attracted significant interest from both industry and academia due to their enhanced capabilities in visual generation, surpassing the performance of traditional diffusion models that employ U-Net. However, the improved performance of DiTs comes at the expense of higher parameter counts and implementation costs, which significantly limits their deployment on resource-constrained devices like mobile phones. We propose DiTAS, a data-free post-training quantization (PTQ) method for efficient DiT inference. DiTAS relies on the proposed temporal-aggregate"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.07756","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/2409.07756/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":"2026-07-05T09:39:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7GPKGyB7S75XOoWldd3iepsMP4DJa4kZpZOLDeQDd5cG1/UXDmLA33jZJM//TxQikjF5CpaGe3N+O01O1I8mDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T07:07:39.703011Z"},"content_sha256":"35b42875ba608d068f63d88c5c13155ae070ae6e4b9a063529d70f8abadb7886","schema_version":"1.0","event_id":"sha256:35b42875ba608d068f63d88c5c13155ae070ae6e4b9a063529d70f8abadb7886"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YCN4EC3AQTVKWGYUHLDVMPHYUH/bundle.json","state_url":"https://pith.science/pith/YCN4EC3AQTVKWGYUHLDVMPHYUH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YCN4EC3AQTVKWGYUHLDVMPHYUH/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":"2026-08-21T07:07:39Z","links":{"resolver":"https://pith.science/pith/YCN4EC3AQTVKWGYUHLDVMPHYUH","bundle":"https://pith.science/pith/YCN4EC3AQTVKWGYUHLDVMPHYUH/bundle.json","state":"https://pith.science/pith/YCN4EC3AQTVKWGYUHLDVMPHYUH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YCN4EC3AQTVKWGYUHLDVMPHYUH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:YCN4EC3AQTVKWGYUHLDVMPHYUH","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":"53e69910be7dfc524307eebe672f9a6e0a62fe0bccad0952ca8ef7d948584511","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-12T05:18:57Z","title_canon_sha256":"d6bea85d4a44c4a224728458f6f9d42d5ddb8de331ce91a419a8205ba9c0fba2"},"schema_version":"1.0","source":{"id":"2409.07756","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.07756","created_at":"2026-07-05T09:39:58Z"},{"alias_kind":"arxiv_version","alias_value":"2409.07756v2","created_at":"2026-07-05T09:39:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.07756","created_at":"2026-07-05T09:39:58Z"},{"alias_kind":"pith_short_12","alias_value":"YCN4EC3AQTVK","created_at":"2026-07-05T09:39:58Z"},{"alias_kind":"pith_short_16","alias_value":"YCN4EC3AQTVKWGYU","created_at":"2026-07-05T09:39:58Z"},{"alias_kind":"pith_short_8","alias_value":"YCN4EC3A","created_at":"2026-07-05T09:39:58Z"}],"graph_snapshots":[{"event_id":"sha256:35b42875ba608d068f63d88c5c13155ae070ae6e4b9a063529d70f8abadb7886","target":"graph","created_at":"2026-07-05T09:39:58Z","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/2409.07756/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion Transformers (DiTs) have recently attracted significant interest from both industry and academia due to their enhanced capabilities in visual generation, surpassing the performance of traditional diffusion models that employ U-Net. However, the improved performance of DiTs comes at the expense of higher parameter counts and implementation costs, which significantly limits their deployment on resource-constrained devices like mobile phones. We propose DiTAS, a data-free post-training quantization (PTQ) method for efficient DiT inference. DiTAS relies on the proposed temporal-aggregate","authors_text":"Sai Qian Zhang, Zhenyuan Dong","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-12T05:18:57Z","title":"DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.07756","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":"sha256:3efebeaacb8c52578b525ad7c7b5a315fb49b93f2b568ce7b355c14363169f7e","target":"record","created_at":"2026-07-05T09:39:58Z","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":"53e69910be7dfc524307eebe672f9a6e0a62fe0bccad0952ca8ef7d948584511","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-12T05:18:57Z","title_canon_sha256":"d6bea85d4a44c4a224728458f6f9d42d5ddb8de331ce91a419a8205ba9c0fba2"},"schema_version":"1.0","source":{"id":"2409.07756","kind":"arxiv","version":2}},"canonical_sha256":"c09bc20b6084eaab1b143ac7563cf8a1db6113f5f10f606694f9e120a266dee6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c09bc20b6084eaab1b143ac7563cf8a1db6113f5f10f606694f9e120a266dee6","first_computed_at":"2026-07-05T09:39:58.362123Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:39:58.362123Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ls7kkv3IunYRpPHLDSQysYijTGPOqxZcF7qYKvb60/bOR5/3Kigx96qjoejLDxNY+Pq0iyN5WNAGjbTFTWf9Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:39:58.362592Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.07756","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3efebeaacb8c52578b525ad7c7b5a315fb49b93f2b568ce7b355c14363169f7e","sha256:35b42875ba608d068f63d88c5c13155ae070ae6e4b9a063529d70f8abadb7886"],"state_sha256":"5a4264f13ba8fa770883ddbb1be6bf4c58ea2fbd054854946de4573e8ac6bd47"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CvAOzu2m6V7d6/vLW/CudJA2OejvB7Cwqy+mtkLmi/02phpFO5hBSyOf8yZ/ivbo3IhjfOBmQ+PFgR99QHJhAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T07:07:39.707246Z","bundle_sha256":"7b4acf511ed8328ca0829f66fd868e984ce052cd9e397a668658d828815b9d01"}}