{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:TWMJCLWO6SBRQFP6KVSN3Z6TID","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":"3bedb00ecfe6c311a6e6102f5e4966d4f594ae16bf2e955cf7a3b8aa428570bb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2025-09-12T16:05:27Z","title_canon_sha256":"2b335ce99102aacd925a06deeacb8dcdf3a9069708de61cc8b1c0d691cc89843"},"schema_version":"1.0","source":{"id":"2509.10372","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.10372","created_at":"2026-07-05T12:11:08Z"},{"alias_kind":"arxiv_version","alias_value":"2509.10372v1","created_at":"2026-07-05T12:11:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.10372","created_at":"2026-07-05T12:11:08Z"},{"alias_kind":"pith_short_12","alias_value":"TWMJCLWO6SBR","created_at":"2026-07-05T12:11:08Z"},{"alias_kind":"pith_short_16","alias_value":"TWMJCLWO6SBRQFP6","created_at":"2026-07-05T12:11:08Z"},{"alias_kind":"pith_short_8","alias_value":"TWMJCLWO","created_at":"2026-07-05T12:11:08Z"}],"graph_snapshots":[{"event_id":"sha256:42d57a515989daa6057d4f6f64989204eb457a6e5f0ce25cafecd304487fd3b6","target":"graph","created_at":"2026-07-05T12:11:08Z","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/2509.10372/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) face significant inference latency due to inefficiencies in GEMM operations, weight access, and KV cache access, especially in real-time scenarios. This highlights the need for a versatile compute-memory efficient accelerator. Unfortunately, existing Transformer accelerators struggle to address both aspects simultaneously, as they focus on value-level processing, missing fine-grained opportunities to optimize computation and memory collaboratively. This paper introduces MCBP, a bit-grained compute-memory efficient algorithm-hardware co-design that leverages bit-sli","authors_text":"Chao Li, Huizheng Wang, Jianxun Yang, Shaojun Wei, Shouyi Yin, Taiquan Wei, Yang Hu, Yang Wang, Yousheng Long, Zhiheng Yue, Zichuan Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2025-09-12T16:05:27Z","title":"MCBP: A Memory-Compute Efficient LLM Inference Accelerator Leveraging Bit-Slice-enabled Sparsity and Repetitiveness"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.10372","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":"sha256:7e4ce8db43d928559877067010617cfa7cff179851dcc89e840bffaf5276f1bd","target":"record","created_at":"2026-07-05T12:11:08Z","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":"3bedb00ecfe6c311a6e6102f5e4966d4f594ae16bf2e955cf7a3b8aa428570bb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2025-09-12T16:05:27Z","title_canon_sha256":"2b335ce99102aacd925a06deeacb8dcdf3a9069708de61cc8b1c0d691cc89843"},"schema_version":"1.0","source":{"id":"2509.10372","kind":"arxiv","version":1}},"canonical_sha256":"9d98912ecef4831815fe5564dde7d340ed0190f07cb6b03a9fa7ec9eceb50b30","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9d98912ecef4831815fe5564dde7d340ed0190f07cb6b03a9fa7ec9eceb50b30","first_computed_at":"2026-07-05T12:11:08.681744Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:11:08.681744Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"r2Ic9FefczjoVrBxW7QZmoKVOHMpSBKm5iHK0F+jzLizrKEN3ef+mWua6Gemx1EtVIFrWoMvmxItJ+bjEKnhDA==","signature_status":"signed_v1","signed_at":"2026-07-05T12:11:08.682300Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.10372","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7e4ce8db43d928559877067010617cfa7cff179851dcc89e840bffaf5276f1bd","sha256:42d57a515989daa6057d4f6f64989204eb457a6e5f0ce25cafecd304487fd3b6"],"state_sha256":"5bc31bec26f864377bf8d7814ec94b85e57508356301b1987835c7492c31ad72"}