{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:YUVZTA6HS52Y2REDNGOYDQMTHF","short_pith_number":"pith:YUVZTA6H","canonical_record":{"source":{"id":"2306.02316","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-04T09:49:43Z","cross_cats_sorted":[],"title_canon_sha256":"856e5d73e1423a4f85dbb74fc9f56bc6da537d9d3d96e37fa7f07ee9466fb143","abstract_canon_sha256":"0618b5c5dadb9701789e67854cba0f177fbb699ea6db98eb9e46f1252b0adb81"},"schema_version":"1.0"},"canonical_sha256":"c52b9983c797758d4483699d81c193397bc529b85397ed8a7b57ec4e15be5741","source":{"kind":"arxiv","id":"2306.02316","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.02316","created_at":"2026-07-05T07:22:18Z"},{"alias_kind":"arxiv_version","alias_value":"2306.02316v2","created_at":"2026-07-05T07:22:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.02316","created_at":"2026-07-05T07:22:18Z"},{"alias_kind":"pith_short_12","alias_value":"YUVZTA6HS52Y","created_at":"2026-07-05T07:22:18Z"},{"alias_kind":"pith_short_16","alias_value":"YUVZTA6HS52Y2RED","created_at":"2026-07-05T07:22:18Z"},{"alias_kind":"pith_short_8","alias_value":"YUVZTA6H","created_at":"2026-07-05T07:22:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:YUVZTA6HS52Y2REDNGOYDQMTHF","target":"record","payload":{"canonical_record":{"source":{"id":"2306.02316","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-04T09:49:43Z","cross_cats_sorted":[],"title_canon_sha256":"856e5d73e1423a4f85dbb74fc9f56bc6da537d9d3d96e37fa7f07ee9466fb143","abstract_canon_sha256":"0618b5c5dadb9701789e67854cba0f177fbb699ea6db98eb9e46f1252b0adb81"},"schema_version":"1.0"},"canonical_sha256":"c52b9983c797758d4483699d81c193397bc529b85397ed8a7b57ec4e15be5741","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:22:18.772493Z","signature_b64":"EVHzROdvpXile3HCzTBR6WoaPO2oWfPY0HWQwIz7lqwNGIxbJdHLJXYrQIK2RIzEpkMm6teL4Z3HXsGWoearCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c52b9983c797758d4483699d81c193397bc529b85397ed8a7b57ec4e15be5741","last_reissued_at":"2026-07-05T07:22:18.771998Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:22:18.771998Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.02316","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":"2026-07-05T07:22:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RPKd/V4eI+xKSRWeQqrgngQydwF/t1/F+NP25hFGnciu9r++qV+6PqAD2meyXSsWRZxq9eG5JJcqRkzyQGJcDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T22:30:49.553719Z"},"content_sha256":"8a282395b5d899f7c50550aca43978912a08ba813a7ae643b337c2135531c235","schema_version":"1.0","event_id":"sha256:8a282395b5d899f7c50550aca43978912a08ba813a7ae643b337c2135531c235"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:YUVZTA6HS52Y2REDNGOYDQMTHF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Temporal Dynamic Quantization for Diffusion Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Daehyun Ahn, Eunhyeok Park, Hyungjun Kim, Jungwon Lee, Junhyuk So","submitted_at":"2023-06-04T09:49:43Z","abstract_excerpt":"The diffusion model has gained popularity in vision applications due to its remarkable generative performance and versatility. However, high storage and computation demands, resulting from the model size and iterative generation, hinder its use on mobile devices. Existing quantization techniques struggle to maintain performance even in 8-bit precision due to the diffusion model's unique property of temporal variation in activation. We introduce a novel quantization method that dynamically adjusts the quantization interval based on time step information, significantly improving output quality. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.02316","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/2306.02316/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":"2026-07-05T07:22:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Tzsq3C7GGA7ymBiBnZl/JXG39pGT6nu7RcYZyxlDOBC6uDe3i6U4wJI/gZXs1OQpDQH2yFsdG7ajTujdc3hnCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T22:30:49.554665Z"},"content_sha256":"ff883c0d80e78e6e58a6f4718e9eec5d210598d1b2f4896f1d98c9486db2f4aa","schema_version":"1.0","event_id":"sha256:ff883c0d80e78e6e58a6f4718e9eec5d210598d1b2f4896f1d98c9486db2f4aa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YUVZTA6HS52Y2REDNGOYDQMTHF/bundle.json","state_url":"https://pith.science/pith/YUVZTA6HS52Y2REDNGOYDQMTHF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YUVZTA6HS52Y2REDNGOYDQMTHF/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":"2026-08-05T22:30:49Z","links":{"resolver":"https://pith.science/pith/YUVZTA6HS52Y2REDNGOYDQMTHF","bundle":"https://pith.science/pith/YUVZTA6HS52Y2REDNGOYDQMTHF/bundle.json","state":"https://pith.science/pith/YUVZTA6HS52Y2REDNGOYDQMTHF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YUVZTA6HS52Y2REDNGOYDQMTHF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:YUVZTA6HS52Y2REDNGOYDQMTHF","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":"0618b5c5dadb9701789e67854cba0f177fbb699ea6db98eb9e46f1252b0adb81","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-04T09:49:43Z","title_canon_sha256":"856e5d73e1423a4f85dbb74fc9f56bc6da537d9d3d96e37fa7f07ee9466fb143"},"schema_version":"1.0","source":{"id":"2306.02316","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.02316","created_at":"2026-07-05T07:22:18Z"},{"alias_kind":"arxiv_version","alias_value":"2306.02316v2","created_at":"2026-07-05T07:22:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.02316","created_at":"2026-07-05T07:22:18Z"},{"alias_kind":"pith_short_12","alias_value":"YUVZTA6HS52Y","created_at":"2026-07-05T07:22:18Z"},{"alias_kind":"pith_short_16","alias_value":"YUVZTA6HS52Y2RED","created_at":"2026-07-05T07:22:18Z"},{"alias_kind":"pith_short_8","alias_value":"YUVZTA6H","created_at":"2026-07-05T07:22:18Z"}],"graph_snapshots":[{"event_id":"sha256:ff883c0d80e78e6e58a6f4718e9eec5d210598d1b2f4896f1d98c9486db2f4aa","target":"graph","created_at":"2026-07-05T07:22:18Z","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/2306.02316/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The diffusion model has gained popularity in vision applications due to its remarkable generative performance and versatility. However, high storage and computation demands, resulting from the model size and iterative generation, hinder its use on mobile devices. Existing quantization techniques struggle to maintain performance even in 8-bit precision due to the diffusion model's unique property of temporal variation in activation. We introduce a novel quantization method that dynamically adjusts the quantization interval based on time step information, significantly improving output quality. ","authors_text":"Daehyun Ahn, Eunhyeok Park, Hyungjun Kim, Jungwon Lee, Junhyuk So","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-04T09:49:43Z","title":"Temporal Dynamic Quantization for Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.02316","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":"sha256:8a282395b5d899f7c50550aca43978912a08ba813a7ae643b337c2135531c235","target":"record","created_at":"2026-07-05T07:22:18Z","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":"0618b5c5dadb9701789e67854cba0f177fbb699ea6db98eb9e46f1252b0adb81","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-04T09:49:43Z","title_canon_sha256":"856e5d73e1423a4f85dbb74fc9f56bc6da537d9d3d96e37fa7f07ee9466fb143"},"schema_version":"1.0","source":{"id":"2306.02316","kind":"arxiv","version":2}},"canonical_sha256":"c52b9983c797758d4483699d81c193397bc529b85397ed8a7b57ec4e15be5741","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c52b9983c797758d4483699d81c193397bc529b85397ed8a7b57ec4e15be5741","first_computed_at":"2026-07-05T07:22:18.771998Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:22:18.771998Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EVHzROdvpXile3HCzTBR6WoaPO2oWfPY0HWQwIz7lqwNGIxbJdHLJXYrQIK2RIzEpkMm6teL4Z3HXsGWoearCw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:22:18.772493Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.02316","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8a282395b5d899f7c50550aca43978912a08ba813a7ae643b337c2135531c235","sha256:ff883c0d80e78e6e58a6f4718e9eec5d210598d1b2f4896f1d98c9486db2f4aa"],"state_sha256":"c9c17a50ceb2862c3193d75e371530b86d3491a37a61821ebc672436ecb30efe"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kIL9OHHAZ7oC+h5pIjGfFqTIK11LJXENSNYFLgrbrtZ+OO3BsxgtxVQRdgcFGM+X7A8ZODiOYFx9o11w8vxlAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T22:30:49.564209Z","bundle_sha256":"e4a44b596f5d5963f50f653bf00b0a5df893848dc88198be70608868bdb705db"}}