{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:ZBRRLI45EHR5KH3WT75YCL5NYW","short_pith_number":"pith:ZBRRLI45","canonical_record":{"source":{"id":"2607.15846","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2026-07-17T11:04:21Z","cross_cats_sorted":[],"title_canon_sha256":"cfa379e6eb4ef1123e4ab0c67135c8a679eeadac15d658bd1f390e2d4c31af44","abstract_canon_sha256":"17a33f37f277362d9ef7202f1dcaf15f8eab38549a89b80c9d6c56fc61eeb8f7"},"schema_version":"1.0"},"canonical_sha256":"c86315a39d21e3d51f769ffb812fadc5971f79fa80b2e922d84321081495a8ec","source":{"kind":"arxiv","id":"2607.15846","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.15846","created_at":"2026-07-20T01:19:13Z"},{"alias_kind":"arxiv_version","alias_value":"2607.15846v1","created_at":"2026-07-20T01:19:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.15846","created_at":"2026-07-20T01:19:13Z"},{"alias_kind":"pith_short_12","alias_value":"ZBRRLI45EHR5","created_at":"2026-07-20T01:19:13Z"},{"alias_kind":"pith_short_16","alias_value":"ZBRRLI45EHR5KH3W","created_at":"2026-07-20T01:19:13Z"},{"alias_kind":"pith_short_8","alias_value":"ZBRRLI45","created_at":"2026-07-20T01:19:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:ZBRRLI45EHR5KH3WT75YCL5NYW","target":"record","payload":{"canonical_record":{"source":{"id":"2607.15846","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2026-07-17T11:04:21Z","cross_cats_sorted":[],"title_canon_sha256":"cfa379e6eb4ef1123e4ab0c67135c8a679eeadac15d658bd1f390e2d4c31af44","abstract_canon_sha256":"17a33f37f277362d9ef7202f1dcaf15f8eab38549a89b80c9d6c56fc61eeb8f7"},"schema_version":"1.0"},"canonical_sha256":"c86315a39d21e3d51f769ffb812fadc5971f79fa80b2e922d84321081495a8ec","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-20T01:19:13.551594Z","signature_b64":"1BBJdlXrc1RnluPudrlhq4P9Jvm2ojoV6KlY+TgiHJ8yrUuAKlQ2dNO5m2oMKVnEuA2dqZkzgU2ccu7Im7UkDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c86315a39d21e3d51f769ffb812fadc5971f79fa80b2e922d84321081495a8ec","last_reissued_at":"2026-07-20T01:19:13.550703Z","signature_status":"signed_v1","first_computed_at":"2026-07-20T01:19:13.550703Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.15846","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":"2026-07-20T01:19:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AZJf9K+7Xsg5v5+5Jb8K0onYrwD0OoaGZTlYzlCeiGgvStqGa8FnXctudj+vVNqsApDoYc1ROZAx/SmyIN6jDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T06:55:28.790939Z"},"content_sha256":"9c6ec024921113653375b909856b597cccee7e30518b90085222442925cddd09","schema_version":"1.0","event_id":"sha256:9c6ec024921113653375b909856b597cccee7e30518b90085222442925cddd09"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:ZBRRLI45EHR5KH3WT75YCL5NYW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DSTAR: Accelerating Diffusion Transformers via Spatial and Temporal Redundancy Reduction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AR","authors_text":"Chen Zhang, Chi Zhang, Jieru Zhao, Minyi Guo, Quan Chen, Yu Feng","submitted_at":"2026-07-17T11:04:21Z","abstract_excerpt":"Diffusion Transformers (DiTs) have been widely used in many tasks, including image synthesis, video generation, and content editing. However, their multi-iteration inference process leads to performance inefficiency and high energy consumption. Existing acceleration methods primarily focus on reducing temporal redundancy between adjacent timesteps, but often overlook the specific features of DiTs. As a result, these approaches either suffer from great accuracy degradation or fail to achieve high efficiency.\n  We present DSTAR, a software-hardware co-design framework that accelerates DiT infere"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.15846","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/2607.15846/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":"2026-07-20T01:19:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o7HsvUAex/LKcNhCVBD5yV8cnhwdCDuY9xMX/r5geuWAYbO/ClDmZGDjOmC/C6yL2qzN6G6I4g7JkpCzEFrDBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T06:55:28.791898Z"},"content_sha256":"83197fa00ef5bc367201ad117f14d6db04727bfe69669d729f98761d8442a623","schema_version":"1.0","event_id":"sha256:83197fa00ef5bc367201ad117f14d6db04727bfe69669d729f98761d8442a623"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZBRRLI45EHR5KH3WT75YCL5NYW/bundle.json","state_url":"https://pith.science/pith/ZBRRLI45EHR5KH3WT75YCL5NYW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZBRRLI45EHR5KH3WT75YCL5NYW/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":"2026-08-17T06:55:28Z","links":{"resolver":"https://pith.science/pith/ZBRRLI45EHR5KH3WT75YCL5NYW","bundle":"https://pith.science/pith/ZBRRLI45EHR5KH3WT75YCL5NYW/bundle.json","state":"https://pith.science/pith/ZBRRLI45EHR5KH3WT75YCL5NYW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZBRRLI45EHR5KH3WT75YCL5NYW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:ZBRRLI45EHR5KH3WT75YCL5NYW","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":"17a33f37f277362d9ef7202f1dcaf15f8eab38549a89b80c9d6c56fc61eeb8f7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2026-07-17T11:04:21Z","title_canon_sha256":"cfa379e6eb4ef1123e4ab0c67135c8a679eeadac15d658bd1f390e2d4c31af44"},"schema_version":"1.0","source":{"id":"2607.15846","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.15846","created_at":"2026-07-20T01:19:13Z"},{"alias_kind":"arxiv_version","alias_value":"2607.15846v1","created_at":"2026-07-20T01:19:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.15846","created_at":"2026-07-20T01:19:13Z"},{"alias_kind":"pith_short_12","alias_value":"ZBRRLI45EHR5","created_at":"2026-07-20T01:19:13Z"},{"alias_kind":"pith_short_16","alias_value":"ZBRRLI45EHR5KH3W","created_at":"2026-07-20T01:19:13Z"},{"alias_kind":"pith_short_8","alias_value":"ZBRRLI45","created_at":"2026-07-20T01:19:13Z"}],"graph_snapshots":[{"event_id":"sha256:83197fa00ef5bc367201ad117f14d6db04727bfe69669d729f98761d8442a623","target":"graph","created_at":"2026-07-20T01:19:13Z","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/2607.15846/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion Transformers (DiTs) have been widely used in many tasks, including image synthesis, video generation, and content editing. However, their multi-iteration inference process leads to performance inefficiency and high energy consumption. Existing acceleration methods primarily focus on reducing temporal redundancy between adjacent timesteps, but often overlook the specific features of DiTs. As a result, these approaches either suffer from great accuracy degradation or fail to achieve high efficiency.\n  We present DSTAR, a software-hardware co-design framework that accelerates DiT infere","authors_text":"Chen Zhang, Chi Zhang, Jieru Zhao, Minyi Guo, Quan Chen, Yu Feng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2026-07-17T11:04:21Z","title":"DSTAR: Accelerating Diffusion Transformers via Spatial and Temporal Redundancy Reduction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.15846","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":"sha256:9c6ec024921113653375b909856b597cccee7e30518b90085222442925cddd09","target":"record","created_at":"2026-07-20T01:19:13Z","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":"17a33f37f277362d9ef7202f1dcaf15f8eab38549a89b80c9d6c56fc61eeb8f7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2026-07-17T11:04:21Z","title_canon_sha256":"cfa379e6eb4ef1123e4ab0c67135c8a679eeadac15d658bd1f390e2d4c31af44"},"schema_version":"1.0","source":{"id":"2607.15846","kind":"arxiv","version":1}},"canonical_sha256":"c86315a39d21e3d51f769ffb812fadc5971f79fa80b2e922d84321081495a8ec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c86315a39d21e3d51f769ffb812fadc5971f79fa80b2e922d84321081495a8ec","first_computed_at":"2026-07-20T01:19:13.550703Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-20T01:19:13.550703Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1BBJdlXrc1RnluPudrlhq4P9Jvm2ojoV6KlY+TgiHJ8yrUuAKlQ2dNO5m2oMKVnEuA2dqZkzgU2ccu7Im7UkDQ==","signature_status":"signed_v1","signed_at":"2026-07-20T01:19:13.551594Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.15846","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9c6ec024921113653375b909856b597cccee7e30518b90085222442925cddd09","sha256:83197fa00ef5bc367201ad117f14d6db04727bfe69669d729f98761d8442a623"],"state_sha256":"9fe91466d8e3074bf6b289f6dee045aadac5f4a410d81548e52987e190582fcd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yT9zU4NQN+6xvA6vBAqQ6ZZoYq1a77hADVLQbCwpxLvb/xorY/MeAoCqUZVGIgrakSMv1T67rG6Zc7GpumLeDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T06:55:28.806827Z","bundle_sha256":"4fe4772e5159b16d093a1adc41a7052fae1bd7fd1b8baad52f388c06744433f4"}}