{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:DYZ7TRZFPKCCLI4FP55JJECR65","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":"e8c64362feb7b7475e8ffa3924556308b3ae929f5f6c49309e402059164df0bf","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-04T08:00:51Z","title_canon_sha256":"a8801010c8e512edf2cccf9d6ff47494a0730f13dd6bb7c50904815a3a928312"},"schema_version":"1.0","source":{"id":"2606.06547","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.06547","created_at":"2026-06-08T00:03:41Z"},{"alias_kind":"arxiv_version","alias_value":"2606.06547v1","created_at":"2026-06-08T00:03:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.06547","created_at":"2026-06-08T00:03:41Z"},{"alias_kind":"pith_short_12","alias_value":"DYZ7TRZFPKCC","created_at":"2026-06-08T00:03:41Z"},{"alias_kind":"pith_short_16","alias_value":"DYZ7TRZFPKCCLI4F","created_at":"2026-06-08T00:03:41Z"},{"alias_kind":"pith_short_8","alias_value":"DYZ7TRZF","created_at":"2026-06-08T00:03:41Z"}],"graph_snapshots":[{"event_id":"sha256:4b41d2da28ba54a381a58bac48707df9e33a01a4e1145273a9fa672d815578bc","target":"graph","created_at":"2026-06-08T00:03:41Z","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/2606.06547/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion Large Language Models (dLLMs) refine tokens iteratively but commit them irreversibly, leading to a \"stability lag\" where early decisions remain fragile even after being written. We reveal that Post-Training Quantization (PTQ) error easily flips these borderline decisions at the write frontier, which are then permanently locked in and amplified. To address this, we propose Frontier-Aware Instability-Reweighted Calibration (FAIR-Calib), a two-stage PTQ framework for dLLMs. Stage I probes a full-precision teacher to estimate a position prior that combines frontier hits and masked-stage ","authors_text":"Baochang Zhang, Boyu Liu, Guodong Guo, Hang Zhou, Haoyu Huang, Linlin Yang, Sheng Xu, Zhongqian Fu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-04T08:00:51Z","title":"FAIR-Calib: Frontier-Aware Instability-Reweighted Calibration for Post-Training Quantization of Diffusion Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.06547","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:be9b12abf8e5098b5e7e9792fee214cab0670d8b3af03ebb2a9661cdd1d51707","target":"record","created_at":"2026-06-08T00:03:41Z","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":"e8c64362feb7b7475e8ffa3924556308b3ae929f5f6c49309e402059164df0bf","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-04T08:00:51Z","title_canon_sha256":"a8801010c8e512edf2cccf9d6ff47494a0730f13dd6bb7c50904815a3a928312"},"schema_version":"1.0","source":{"id":"2606.06547","kind":"arxiv","version":1}},"canonical_sha256":"1e33f9c7257a8425a3857f7a949051f7433abd660268a654e1da48f6a1ced9ee","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1e33f9c7257a8425a3857f7a949051f7433abd660268a654e1da48f6a1ced9ee","first_computed_at":"2026-06-08T00:03:41.960665Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-08T00:03:41.960665Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4OA9mNG4gqwcMpzuZAgDvjcnf+jaYk5CsBtd4dJZ57BM0RFd2VDk77u4UlGzQXg/IIwysgc6x13dr0decETHCw==","signature_status":"signed_v1","signed_at":"2026-06-08T00:03:41.961510Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.06547","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:be9b12abf8e5098b5e7e9792fee214cab0670d8b3af03ebb2a9661cdd1d51707","sha256:4b41d2da28ba54a381a58bac48707df9e33a01a4e1145273a9fa672d815578bc"],"state_sha256":"48a1f1d4a9bbaabc0fb3f84e0652233ce9d77bf6f0e9cab5af2138e4301ac135"}