{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:VRIF64LAI6UNTVVJ2KOUDD5IRF","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":"6bf7343b3be7d4363869dd3321c09668725ed6b8db548b890137f91a1b2ab36e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-15T03:31:51Z","title_canon_sha256":"9d2d1ec2b3f0a2051dc66c9f46345a80142b75c9898edd45c000258ecc07a0c3"},"schema_version":"1.0","source":{"id":"2605.15572","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.15572","created_at":"2026-05-20T00:01:06Z"},{"alias_kind":"arxiv_version","alias_value":"2605.15572v1","created_at":"2026-05-20T00:01:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.15572","created_at":"2026-05-20T00:01:06Z"},{"alias_kind":"pith_short_12","alias_value":"VRIF64LAI6UN","created_at":"2026-05-20T00:01:06Z"},{"alias_kind":"pith_short_16","alias_value":"VRIF64LAI6UNTVVJ","created_at":"2026-05-20T00:01:06Z"},{"alias_kind":"pith_short_8","alias_value":"VRIF64LA","created_at":"2026-05-20T00:01:06Z"}],"graph_snapshots":[{"event_id":"sha256:ba7179e63e601ff4eb4512debb74719dbdf98904c62c4f10e90de7a0fd4f421f","target":"graph","created_at":"2026-05-20T00:01:06Z","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":[{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T19:34:35.253359Z","status":"skipped","version":"1.0.0"},{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T17:41:56.077595Z","status":"completed","version":"1.0.0"}],"endpoint":"/pith/2605.15572/integrity.json","findings":[],"snapshot_sha256":"cd73ba76aaafdb3bdb1587bfa563b620b63bad6dda852f25d4985412847502af","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The dynamic range of activations is a first-order constraint for low-bit quantization, activation scaling, and stable LLM inference. Prior work characterized outlier features and massive activations on pre-2024 LLaMA-style models, and the downstream activation-quantization stack inherits that picture without revisiting it for the post-LLaMA open-model boom. We ask the deployment-oriented question: how large can activations get in modern open LLMs, and how does this magnitude vary across families, generations, and training stages? Under a unified pipeline (5,000-sample multi-domain corpus, fami","authors_text":"Dawei Yin, Fang Wang, Han Tian, Haoyi Xiong, Jiamin Chen, Jiashu Zhao, Luxuan Chen, Rui Kong, Shuaiqiang Wang, Xinran Chen, Yuchen Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-15T03:31:51Z","title":"Measuring Maximum Activations in Open Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.15572","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:aa72e8829213433a35110941d89331f64c906ed7b64129a40ebd72e91a05532b","target":"record","created_at":"2026-05-20T00:01:06Z","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":"6bf7343b3be7d4363869dd3321c09668725ed6b8db548b890137f91a1b2ab36e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-15T03:31:51Z","title_canon_sha256":"9d2d1ec2b3f0a2051dc66c9f46345a80142b75c9898edd45c000258ecc07a0c3"},"schema_version":"1.0","source":{"id":"2605.15572","kind":"arxiv","version":1}},"canonical_sha256":"ac505f716047a8d9d6a9d29d418fa8897e37ee0fb28f41dd73199ca9c0f82a1d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ac505f716047a8d9d6a9d29d418fa8897e37ee0fb28f41dd73199ca9c0f82a1d","first_computed_at":"2026-05-20T00:01:06.078614Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:01:06.078614Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QjmUTZVABZKec0KmfufoCRwKMlGTVZsrLmWU4Xszfk/lAUiGCGrfN6NnzBcj+8aPHHujkpX7UN22oDol83MrAA==","signature_status":"signed_v1","signed_at":"2026-05-20T00:01:06.079471Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.15572","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aa72e8829213433a35110941d89331f64c906ed7b64129a40ebd72e91a05532b","sha256:ba7179e63e601ff4eb4512debb74719dbdf98904c62c4f10e90de7a0fd4f421f"],"state_sha256":"08b4327eb7875dc37c88cdc76d7118a18d887e7019e58fa3b2c8e56c639a40c6"}