{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:ELFPNCT27ODWVCV473MG7EPT3Z","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":"da300a283ad60d7384a38b61d8a50d5f20708814a1ee7eaa2c4fbea8e9bc5be8","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-01-12T12:27:22Z","title_canon_sha256":"15eac9e656bbe099838e79d0c7185c1ff86ca1ebd3e6188e2e12e093757a46ab"},"schema_version":"1.0","source":{"id":"2601.07475","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.07475","created_at":"2026-07-07T02:17:16Z"},{"alias_kind":"arxiv_version","alias_value":"2601.07475v2","created_at":"2026-07-07T02:17:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.07475","created_at":"2026-07-07T02:17:16Z"},{"alias_kind":"pith_short_12","alias_value":"ELFPNCT27ODW","created_at":"2026-07-07T02:17:16Z"},{"alias_kind":"pith_short_16","alias_value":"ELFPNCT27ODWVCV4","created_at":"2026-07-07T02:17:16Z"},{"alias_kind":"pith_short_8","alias_value":"ELFPNCT2","created_at":"2026-07-07T02:17:16Z"}],"graph_snapshots":[{"event_id":"sha256:c9a10f26a78bcffc9edbadfc3c98f899dd402c80b11e4352aa4d6019b74122c0","target":"graph","created_at":"2026-07-07T02:17:16Z","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/2601.07475/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The emergence of fine-grained numerical formats like NVFP4 presents new opportunities for efficient Large Language Model (LLM) inference. However, it is difficult to adapt existing Post-Training Quantization (PTQ) strategies to these formats: rotation-based methods compromise fine-grained block isolation; smoothing techniques struggle with significant 4-bit quantization errors; and mixed-precision approaches often conflict with hardware constraints on unified-precision computation. To address these challenges, we propose ARCQuant, a framework that boosts NVFP4 performance via Augmented Residua","authors_text":"Haoqian Meng, Peng Zhang, Wenyuan Liu, Xindian Ma, Yafei Zhao, Yilun Luo","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-01-12T12:27:22Z","title":"ARCQuant: Boosting NVFP4 Quantization with Augmented Residual Channels for LLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.07475","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":"sha256:77f164987cd02b288999e2cccb577f3b480ecd5cafbf8024283553899bc30ed0","target":"record","created_at":"2026-07-07T02:17:16Z","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":"da300a283ad60d7384a38b61d8a50d5f20708814a1ee7eaa2c4fbea8e9bc5be8","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-01-12T12:27:22Z","title_canon_sha256":"15eac9e656bbe099838e79d0c7185c1ff86ca1ebd3e6188e2e12e093757a46ab"},"schema_version":"1.0","source":{"id":"2601.07475","kind":"arxiv","version":2}},"canonical_sha256":"22caf68a7afb876a8abcfed86f91f3de54a23bc463f7e858447938551a8112ab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"22caf68a7afb876a8abcfed86f91f3de54a23bc463f7e858447938551a8112ab","first_computed_at":"2026-07-07T02:17:16.247527Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-07T02:17:16.247527Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"F8kWTQqVpkYyIeM+VKvmWcjWdhZofB/WDJMW9u4AKbJ/qObqNeEmcvN/nqPfD6imqxxGH7HIRX0nxboIymgrDw==","signature_status":"signed_v1","signed_at":"2026-07-07T02:17:16.248450Z","signed_message":"canonical_sha256_bytes"},"source_id":"2601.07475","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:77f164987cd02b288999e2cccb577f3b480ecd5cafbf8024283553899bc30ed0","sha256:c9a10f26a78bcffc9edbadfc3c98f899dd402c80b11e4352aa4d6019b74122c0"],"state_sha256":"19e8d1c95d249daa93da60dd63870385ba8f60c0088dc71b054f496a05419313"}