{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TOAWZZWEJH36NKXJCWKF2IZUE5","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":"fb36ddc03df0dc222f20e648bea2844f68c27f369da07ba12ee1fc291468c36d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-10T04:15:39Z","title_canon_sha256":"02ae81dd832c61188c7cfa1f05a532aa8ce90f714551c3913cdff80533d6f5b3"},"schema_version":"1.0","source":{"id":"2412.07174","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.07174","created_at":"2026-07-05T09:47:05Z"},{"alias_kind":"arxiv_version","alias_value":"2412.07174v1","created_at":"2026-07-05T09:47:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.07174","created_at":"2026-07-05T09:47:05Z"},{"alias_kind":"pith_short_12","alias_value":"TOAWZZWEJH36","created_at":"2026-07-05T09:47:05Z"},{"alias_kind":"pith_short_16","alias_value":"TOAWZZWEJH36NKXJ","created_at":"2026-07-05T09:47:05Z"},{"alias_kind":"pith_short_8","alias_value":"TOAWZZWE","created_at":"2026-07-05T09:47:05Z"}],"graph_snapshots":[{"event_id":"sha256:e5b0f39f3c2c8cce88b3596175c466560332886bf70b8ef101e0706d6ab6bc76","target":"graph","created_at":"2026-07-05T09:47:05Z","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/2412.07174/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present Statistical Calibrated Activation Pruning (SCAP), a post-training activation pruning framework that (1) generalizes sparsification by input activations of Fully-Connected layers for generic and flexible application across Transformers, and (2) features a simple Mode-Centering technique to pre-calibrate activation distributions for maximizing post-training sparsity. Our results demonstrate robust Pareto efficiency compared to prior methods, translating to a 1.5x additional LLM decoding speedup against CATS at iso model quality. SCAP effectiveness is empirically verified across a wide","authors_text":"Nilesh Jain, Vui Seng Chua, Yujie Pan","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-10T04:15:39Z","title":"Post-Training Statistical Calibration for Higher Activation Sparsity"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.07174","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:e0c33249fb656900592e43bf9497b27b509636150f8652afd8c8b903405ec2c4","target":"record","created_at":"2026-07-05T09:47:05Z","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":"fb36ddc03df0dc222f20e648bea2844f68c27f369da07ba12ee1fc291468c36d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-10T04:15:39Z","title_canon_sha256":"02ae81dd832c61188c7cfa1f05a532aa8ce90f714551c3913cdff80533d6f5b3"},"schema_version":"1.0","source":{"id":"2412.07174","kind":"arxiv","version":1}},"canonical_sha256":"9b816ce6c449f7e6aae915945d2334276e9c5aeb0b8ed67b0b16c3b8e39bd834","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9b816ce6c449f7e6aae915945d2334276e9c5aeb0b8ed67b0b16c3b8e39bd834","first_computed_at":"2026-07-05T09:47:05.145264Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:47:05.145264Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EGDh8SBm5qD88eH5S5EoD7tR9ux3yLJkrB3aKQ0aRr90SoyU2fO9gZO0wtc4XdOPDBRviPAMSanvGmJbaMB/Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T09:47:05.145717Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.07174","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e0c33249fb656900592e43bf9497b27b509636150f8652afd8c8b903405ec2c4","sha256:e5b0f39f3c2c8cce88b3596175c466560332886bf70b8ef101e0706d6ab6bc76"],"state_sha256":"8c2ac3860cf7218ab2b883377fce15ed61608866bc9425329a909bd4231e00d0"}