{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:UD232AUREBYINFAA52VD7ANYTS","short_pith_number":"pith:UD232AUR","canonical_record":{"source":{"id":"2502.04056","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-06T13:14:52Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"075e8e53805124d267292ff07790b8bfff93d8c6b487fcf99bf87bc56dc09f19","abstract_canon_sha256":"623aa29bc4d53547b2a5534e4e988b4543a282fc7f0dc381cd4b5663ff1225a2"},"schema_version":"1.0"},"canonical_sha256":"a0f5bd02912070869400eeaa3f81b89cb02ffc41a348f08bbefa31bd6f36b485","source":{"kind":"arxiv","id":"2502.04056","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.04056","created_at":"2026-07-05T10:10:33Z"},{"alias_kind":"arxiv_version","alias_value":"2502.04056v1","created_at":"2026-07-05T10:10:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.04056","created_at":"2026-07-05T10:10:33Z"},{"alias_kind":"pith_short_12","alias_value":"UD232AUREBYI","created_at":"2026-07-05T10:10:33Z"},{"alias_kind":"pith_short_16","alias_value":"UD232AUREBYINFAA","created_at":"2026-07-05T10:10:33Z"},{"alias_kind":"pith_short_8","alias_value":"UD232AUR","created_at":"2026-07-05T10:10:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:UD232AUREBYINFAA52VD7ANYTS","target":"record","payload":{"canonical_record":{"source":{"id":"2502.04056","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-06T13:14:52Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"075e8e53805124d267292ff07790b8bfff93d8c6b487fcf99bf87bc56dc09f19","abstract_canon_sha256":"623aa29bc4d53547b2a5534e4e988b4543a282fc7f0dc381cd4b5663ff1225a2"},"schema_version":"1.0"},"canonical_sha256":"a0f5bd02912070869400eeaa3f81b89cb02ffc41a348f08bbefa31bd6f36b485","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:10:33.472718Z","signature_b64":"jE8Vo/9SqWhdovKwKTYoHEYZSsR0uoJFquhtp7nSZaSvaDTYksgFWUggxO9troZ7nVt6G37iwKxpYMnuDwaIAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a0f5bd02912070869400eeaa3f81b89cb02ffc41a348f08bbefa31bd6f36b485","last_reissued_at":"2026-07-05T10:10:33.472283Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:10:33.472283Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.04056","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":"2026-07-05T10:10:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"X6NEJLtEpJr7OA82jmPMhOWycZdXvUnpjP/HmZHwbM3YR+CVh5qZ4C7iY3ouRgzIVxPfq70qWlXyc3iwxGAWAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:29:33.380835Z"},"content_sha256":"c37f30b77c00d275600c75e58991646f1db8cbb4038fbc5f4ea924786167501e","schema_version":"1.0","event_id":"sha256:c37f30b77c00d275600c75e58991646f1db8cbb4038fbc5f4ea924786167501e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:UD232AUREBYINFAA52VD7ANYTS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TQ-DiT: Efficient Time-Aware Quantization for Diffusion Transformers","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.SP"],"primary_cat":"cs.LG","authors_text":"Hyojin Lee, Joonhyuk Kang, Younghye Hwang","submitted_at":"2025-02-06T13:14:52Z","abstract_excerpt":"Diffusion transformers (DiTs) combine transformer architectures with diffusion models. However, their computational complexity imposes significant limitations on real-time applications and sustainability of AI systems. In this study, we aim to enhance the computational efficiency through model quantization, which represents the weights and activation values with lower precision. Multi-region quantization (MRQ) is introduced to address the asymmetric distribution of network values in DiT blocks by allocating two scaling parameters to sub-regions. Additionally, time-grouping quantization (TGQ) i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.04056","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/2502.04056/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":"2026-07-05T10:10:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P/SSwSv64QT3zwN/31hGlOvacuOr5x93Z1sjhxe8hjecF/eLYUqpGzExZXD+3ZzpXPfkJsXfpB4goI254iVXDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:29:33.381257Z"},"content_sha256":"abbcbb448078389609e20df72e4d1ff6b71d2d6ad99863913f00bb340ad2f099","schema_version":"1.0","event_id":"sha256:abbcbb448078389609e20df72e4d1ff6b71d2d6ad99863913f00bb340ad2f099"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UD232AUREBYINFAA52VD7ANYTS/bundle.json","state_url":"https://pith.science/pith/UD232AUREBYINFAA52VD7ANYTS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UD232AUREBYINFAA52VD7ANYTS/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":"2026-07-07T05:29:33Z","links":{"resolver":"https://pith.science/pith/UD232AUREBYINFAA52VD7ANYTS","bundle":"https://pith.science/pith/UD232AUREBYINFAA52VD7ANYTS/bundle.json","state":"https://pith.science/pith/UD232AUREBYINFAA52VD7ANYTS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UD232AUREBYINFAA52VD7ANYTS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:UD232AUREBYINFAA52VD7ANYTS","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":"623aa29bc4d53547b2a5534e4e988b4543a282fc7f0dc381cd4b5663ff1225a2","cross_cats_sorted":["eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-06T13:14:52Z","title_canon_sha256":"075e8e53805124d267292ff07790b8bfff93d8c6b487fcf99bf87bc56dc09f19"},"schema_version":"1.0","source":{"id":"2502.04056","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.04056","created_at":"2026-07-05T10:10:33Z"},{"alias_kind":"arxiv_version","alias_value":"2502.04056v1","created_at":"2026-07-05T10:10:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.04056","created_at":"2026-07-05T10:10:33Z"},{"alias_kind":"pith_short_12","alias_value":"UD232AUREBYI","created_at":"2026-07-05T10:10:33Z"},{"alias_kind":"pith_short_16","alias_value":"UD232AUREBYINFAA","created_at":"2026-07-05T10:10:33Z"},{"alias_kind":"pith_short_8","alias_value":"UD232AUR","created_at":"2026-07-05T10:10:33Z"}],"graph_snapshots":[{"event_id":"sha256:abbcbb448078389609e20df72e4d1ff6b71d2d6ad99863913f00bb340ad2f099","target":"graph","created_at":"2026-07-05T10:10:33Z","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/2502.04056/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion transformers (DiTs) combine transformer architectures with diffusion models. However, their computational complexity imposes significant limitations on real-time applications and sustainability of AI systems. In this study, we aim to enhance the computational efficiency through model quantization, which represents the weights and activation values with lower precision. Multi-region quantization (MRQ) is introduced to address the asymmetric distribution of network values in DiT blocks by allocating two scaling parameters to sub-regions. Additionally, time-grouping quantization (TGQ) i","authors_text":"Hyojin Lee, Joonhyuk Kang, Younghye Hwang","cross_cats":["eess.SP"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-06T13:14:52Z","title":"TQ-DiT: Efficient Time-Aware Quantization for Diffusion Transformers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.04056","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:c37f30b77c00d275600c75e58991646f1db8cbb4038fbc5f4ea924786167501e","target":"record","created_at":"2026-07-05T10:10:33Z","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":"623aa29bc4d53547b2a5534e4e988b4543a282fc7f0dc381cd4b5663ff1225a2","cross_cats_sorted":["eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-06T13:14:52Z","title_canon_sha256":"075e8e53805124d267292ff07790b8bfff93d8c6b487fcf99bf87bc56dc09f19"},"schema_version":"1.0","source":{"id":"2502.04056","kind":"arxiv","version":1}},"canonical_sha256":"a0f5bd02912070869400eeaa3f81b89cb02ffc41a348f08bbefa31bd6f36b485","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a0f5bd02912070869400eeaa3f81b89cb02ffc41a348f08bbefa31bd6f36b485","first_computed_at":"2026-07-05T10:10:33.472283Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:10:33.472283Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jE8Vo/9SqWhdovKwKTYoHEYZSsR0uoJFquhtp7nSZaSvaDTYksgFWUggxO9troZ7nVt6G37iwKxpYMnuDwaIAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:10:33.472718Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.04056","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c37f30b77c00d275600c75e58991646f1db8cbb4038fbc5f4ea924786167501e","sha256:abbcbb448078389609e20df72e4d1ff6b71d2d6ad99863913f00bb340ad2f099"],"state_sha256":"452424678a60b482c78c1732596105c4c05a0510a61e853d6da8ee074dea100d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7fFTWdTCkz5IvH2Wmw2qBCtUrmy8ohRVcEZpiUR36fosfgKjztD6tCP+2B+ANdJn2qCTrBRF5K1JGaPubhnuAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T05:29:33.383624Z","bundle_sha256":"474479490ce14d2750af6dbf6e056f0b2db8f8c22edeabb216b6a4bc4f3e0b3f"}}