{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:HO6FZ33GFFR4QOIWLPT77IT2HM","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":"98ad849ecb6007ed985c975ba26c5549e44633e5798c7c9076f83571539389e4","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-25T04:19:04Z","title_canon_sha256":"08d92f7fad7c721ae64273fb8e646ed488bb8ef758b56ea8b3778ce55137c0e0"},"schema_version":"1.0","source":{"id":"2606.26587","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.26587","created_at":"2026-06-26T01:15:35Z"},{"alias_kind":"arxiv_version","alias_value":"2606.26587v1","created_at":"2026-06-26T01:15:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.26587","created_at":"2026-06-26T01:15:35Z"},{"alias_kind":"pith_short_12","alias_value":"HO6FZ33GFFR4","created_at":"2026-06-26T01:15:35Z"},{"alias_kind":"pith_short_16","alias_value":"HO6FZ33GFFR4QOIW","created_at":"2026-06-26T01:15:35Z"},{"alias_kind":"pith_short_8","alias_value":"HO6FZ33G","created_at":"2026-06-26T01:15:35Z"}],"graph_snapshots":[{"event_id":"sha256:abb288762fe922e7ba878374d90069568fca4338f8cc20e2186281ba9102fe6f","target":"graph","created_at":"2026-06-26T01:15:35Z","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/2606.26587/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Low-bit floating-point formats and semi-structured sparsity are increasingly supported by modern accelerators, yet combining them for LLM activation compression remains challenging: activations contain input-dependent outliers that dominate block scales in FP4 quantization, and directly applying N:M sparsity masks discards moderate values, coupling sparsification loss with quantization error. We introduce SharQ, a training-free inference method that bridges activation sparsity and FP4 quantization through an online sparse--dense decomposition. For each activation tensor, SharQ generates an inp","authors_text":"Haoqian Meng, Huaqing Zheng, Peng Zhang, Wenyuan Liu, Xindian Ma, Yafei Zhao, Yilun Luo","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-25T04:19:04Z","title":"SharQ: Bridging Activation Sparsity and FP4 Quantization for LLM Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.26587","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":"sha256:14103ed39d79389e1a7ad7f6ee4f85041ed5a82ee40143cb8d9ce7d2fc5497b0","target":"record","created_at":"2026-06-26T01:15:35Z","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":"98ad849ecb6007ed985c975ba26c5549e44633e5798c7c9076f83571539389e4","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-25T04:19:04Z","title_canon_sha256":"08d92f7fad7c721ae64273fb8e646ed488bb8ef758b56ea8b3778ce55137c0e0"},"schema_version":"1.0","source":{"id":"2606.26587","kind":"arxiv","version":1}},"canonical_sha256":"3bbc5cef662963c839165be7ffa27a3b3ccab4464e842c82bbb3fc0cf4bc8838","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3bbc5cef662963c839165be7ffa27a3b3ccab4464e842c82bbb3fc0cf4bc8838","first_computed_at":"2026-06-26T01:15:35.646933Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-26T01:15:35.646933Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2rLA9+UH6oSPXfkMrK7hgttID3BylGUPK4XlgxqctN0MIYEEGmK2spGl0ty5H2x80mun8Bc+YxhEbMOCkRQvDA==","signature_status":"signed_v1","signed_at":"2026-06-26T01:15:35.647306Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.26587","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:14103ed39d79389e1a7ad7f6ee4f85041ed5a82ee40143cb8d9ce7d2fc5497b0","sha256:abb288762fe922e7ba878374d90069568fca4338f8cc20e2186281ba9102fe6f"],"state_sha256":"45a24f8a44cc78f46cccd7e3c8a63c2154fc9e4a5d2c81800c400a466eee7aff"}