{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:TU2LAYU5SJEVXZCOEX4HDOTBZG","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":"c4e7bece06c16d9fce7b659ff9a90e1dfa7e67878cf6661804131266f92d02e3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2025-05-05T04:20:40Z","title_canon_sha256":"942f49012d0d037b75e1cb45d1e0d0a041eab9eb85573b9ee8888f015cd88cd3"},"schema_version":"1.0","source":{"id":"2505.02351","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.02351","created_at":"2026-07-05T11:34:50Z"},{"alias_kind":"arxiv_version","alias_value":"2505.02351v2","created_at":"2026-07-05T11:34:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.02351","created_at":"2026-07-05T11:34:50Z"},{"alias_kind":"pith_short_12","alias_value":"TU2LAYU5SJEV","created_at":"2026-07-05T11:34:50Z"},{"alias_kind":"pith_short_16","alias_value":"TU2LAYU5SJEVXZCO","created_at":"2026-07-05T11:34:50Z"},{"alias_kind":"pith_short_8","alias_value":"TU2LAYU5","created_at":"2026-07-05T11:34:50Z"}],"graph_snapshots":[{"event_id":"sha256:f2dded15a0fcf8e564cb0559f747653b1b2f96a115c22bd05d3dc884fd8ead49","target":"graph","created_at":"2026-07-05T11:34:50Z","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/2505.02351/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the field of deep learning, traditional attention mechanisms face significant challenges related to high computational complexity and large memory consumption when processing long sequence data. To address these limitations, we propose Opt-GPTQ, an optimized Gradient-based Post Training Quantization (GPTQ) combining the Grouped Query Attention (GQA) mechanism with paging memory management, optimizing the traditional Multi-Head Attention (MHA) mechanism by grouping query heads and sharing key-value vectors. Optimized GQA (Opt-GQA) effectively reduces computational complexity, minimizes memor","authors_text":"Jiehan Zhou, Jie Kong, Jiheng Xu, Junxiang Zhang, Luohan Jiang, Peng Liang, Quan Zhang, Shouhua Zhang, Yalong Li, Yuhai Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2025-05-05T04:20:40Z","title":"Opt-GPTQ: An Optimized GPTQ Combining Sparse Attention and Quantization Techniques"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.02351","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":"sha256:0fae21be7756b770400d810298dee91b426f9beccd0d46b9e0e70ddb90577621","target":"record","created_at":"2026-07-05T11:34:50Z","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":"c4e7bece06c16d9fce7b659ff9a90e1dfa7e67878cf6661804131266f92d02e3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2025-05-05T04:20:40Z","title_canon_sha256":"942f49012d0d037b75e1cb45d1e0d0a041eab9eb85573b9ee8888f015cd88cd3"},"schema_version":"1.0","source":{"id":"2505.02351","kind":"arxiv","version":2}},"canonical_sha256":"9d34b0629d92495be44e25f871ba61c98b9e853123271dd1a2efae1f02b05a7f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9d34b0629d92495be44e25f871ba61c98b9e853123271dd1a2efae1f02b05a7f","first_computed_at":"2026-07-05T11:34:50.860290Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:34:50.860290Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lF74HMCOH+LnUb7JNtpVKmQ6JOjoGwWmXKs79pnij8j0faxTgAg6XZTvk4FA7vxgS2pP322tBivlbKR+TJVQCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:34:50.860910Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.02351","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0fae21be7756b770400d810298dee91b426f9beccd0d46b9e0e70ddb90577621","sha256:f2dded15a0fcf8e564cb0559f747653b1b2f96a115c22bd05d3dc884fd8ead49"],"state_sha256":"8a0643ebcfd96b3935370748f80382b3e4c39b29f1d83cc28c3ac3f32d610463"}