{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:PF5A6TMY4NJIFF46EHLGM2QJZR","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":"bb81bcd9fdd5453bc71b1f04f076dcdb474cbf44108799835b5fe06aa1ecd4b8","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-11T11:47:40Z","title_canon_sha256":"4b37b9dfc1fba834a958a7089b1a8251ca3fe573f21676a138b3381faad59f96"},"schema_version":"1.0","source":{"id":"2606.13233","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.13233","created_at":"2026-06-12T01:09:48Z"},{"alias_kind":"arxiv_version","alias_value":"2606.13233v1","created_at":"2026-06-12T01:09:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.13233","created_at":"2026-06-12T01:09:48Z"},{"alias_kind":"pith_short_12","alias_value":"PF5A6TMY4NJI","created_at":"2026-06-12T01:09:48Z"},{"alias_kind":"pith_short_16","alias_value":"PF5A6TMY4NJIFF46","created_at":"2026-06-12T01:09:48Z"},{"alias_kind":"pith_short_8","alias_value":"PF5A6TMY","created_at":"2026-06-12T01:09:48Z"}],"graph_snapshots":[{"event_id":"sha256:c68efdb4a3336bdb2586a35fc5146740b111618b9e18baa318a39c8963c93984","target":"graph","created_at":"2026-06-12T01:09:48Z","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/2606.13233/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large reasoning models (LRMs) improve complex problem-solving by generating long intermediate reasoning traces, but this substantially increases inference costs. NVFP4 inference offers a promising approach to reduce both computational and memory costs through hardware-supported low-precision execution. However, directly applying NVFP4 to LRMs introduces two practical limitations: reasoning accuracy degrades under quantization, and existing NVFP4 kernels do not fully realize latency benefits in small-batch autoregressive decoding. In this work, we analyze the effect of NVFP4 quantization on tok","authors_text":"Donghoon Yoo, Hanyul Ryu, Jae Gon Kim, Janghwan Lee, Jungwook Choi, Sihwa Lee, Soojung Ryu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-11T11:47:40Z","title":"ReSET: Accurate Latency-Critical NVFP4 Reasoning via Step-Aware Temperature Scaling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.13233","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:ec8b3c0fed48411a7ea1ce6fbc6cd292910ad1a67c846226190886fbd65554b3","target":"record","created_at":"2026-06-12T01:09:48Z","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":"bb81bcd9fdd5453bc71b1f04f076dcdb474cbf44108799835b5fe06aa1ecd4b8","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-11T11:47:40Z","title_canon_sha256":"4b37b9dfc1fba834a958a7089b1a8251ca3fe573f21676a138b3381faad59f96"},"schema_version":"1.0","source":{"id":"2606.13233","kind":"arxiv","version":1}},"canonical_sha256":"797a0f4d98e35282979e21d6666a09cc68a4539d21ef5007e785d9c6023dc67c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"797a0f4d98e35282979e21d6666a09cc68a4539d21ef5007e785d9c6023dc67c","first_computed_at":"2026-06-12T01:09:48.081101Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-12T01:09:48.081101Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"P9PUUMTLIHXCurkYigykqN5wldCyLxLLBllFyCAmpWXOUiEL5RafZ+zCf0axsbdxOPkAdATg5TD4GYf4FZBlAA==","signature_status":"signed_v1","signed_at":"2026-06-12T01:09:48.081678Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.13233","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ec8b3c0fed48411a7ea1ce6fbc6cd292910ad1a67c846226190886fbd65554b3","sha256:c68efdb4a3336bdb2586a35fc5146740b111618b9e18baa318a39c8963c93984"],"state_sha256":"83085826f1e1f37f7ebaad6fc510c99785c57a9f05b050c2a2403f1b3aae56bf"}