{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:B6DMMX2ETQV5LCZSEBWAUTNQYE","short_pith_number":"pith:B6DMMX2E","canonical_record":{"source":{"id":"2607.04422","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-05T17:31:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"7841810ec935ac4bac5d05b37b3ba7acf1b9b0edda4b915b5f5f7ed80308f78d","abstract_canon_sha256":"77df34937e3f82d727afcd49d188f5a17f280959e76d277fe2f08a0282feeca3"},"schema_version":"1.0"},"canonical_sha256":"0f86c65f449c2bd58b32206c0a4db0c1351aa49863abb9ea0ce1bb643b5c1788","source":{"kind":"arxiv","id":"2607.04422","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.04422","created_at":"2026-07-07T02:19:17Z"},{"alias_kind":"arxiv_version","alias_value":"2607.04422v1","created_at":"2026-07-07T02:19:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.04422","created_at":"2026-07-07T02:19:17Z"},{"alias_kind":"pith_short_12","alias_value":"B6DMMX2ETQV5","created_at":"2026-07-07T02:19:17Z"},{"alias_kind":"pith_short_16","alias_value":"B6DMMX2ETQV5LCZS","created_at":"2026-07-07T02:19:17Z"},{"alias_kind":"pith_short_8","alias_value":"B6DMMX2E","created_at":"2026-07-07T02:19:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:B6DMMX2ETQV5LCZSEBWAUTNQYE","target":"record","payload":{"canonical_record":{"source":{"id":"2607.04422","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-05T17:31:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"7841810ec935ac4bac5d05b37b3ba7acf1b9b0edda4b915b5f5f7ed80308f78d","abstract_canon_sha256":"77df34937e3f82d727afcd49d188f5a17f280959e76d277fe2f08a0282feeca3"},"schema_version":"1.0"},"canonical_sha256":"0f86c65f449c2bd58b32206c0a4db0c1351aa49863abb9ea0ce1bb643b5c1788","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-07T02:19:17.692694Z","signature_b64":"ukKnVahXPV0njWgKR4E7AWOrd+RL9Mom9jPf8Q4Y1d3VKwEoSB2tkItij59o8CZbXEQbHQJjDXwDvxVKXc/HDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0f86c65f449c2bd58b32206c0a4db0c1351aa49863abb9ea0ce1bb643b5c1788","last_reissued_at":"2026-07-07T02:19:17.691942Z","signature_status":"signed_v1","first_computed_at":"2026-07-07T02:19:17.691942Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.04422","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-07T02:19:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"41GsGpHreBs/mbVGPfTDGLFoM+XZZogXEaaBBKPrPkmz0eEzaARh4BuOgLE1GSDL3nvAwD/m4rxT49Q1x6jKDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T05:26:09.061797Z"},"content_sha256":"5dc94c4f333e1aad5c798d57060b8dc33433c5b3fd8587227433d81f041cda32","schema_version":"1.0","event_id":"sha256:5dc94c4f333e1aad5c798d57060b8dc33433c5b3fd8587227433d81f041cda32"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:B6DMMX2ETQV5LCZSEBWAUTNQYE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Full-Stack FP4: Stable LLM Pretraining with Quantized Projections, Optimizers, and Attention","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Guoqi Li, Jiabo Tong, Mingchuan Ma, Siyu Ding, Xingrun Xing, Ziming Wang","submitted_at":"2026-07-05T17:31:36Z","abstract_excerpt":"Recent NVFP4 pretraining methods mainly target transformer linear layers, leaving optimizer states, optimizer arithmetic and attention underexplored in 4-bit pipelines. This critical gap blocks stable full-stack 4-bit pretraining, as the three core modules exhibit unique numerical failure patterns: linear layers hit hard quantization noise limits with dimension-propagated error amplification; AdamW second moments are heavy-tailed non-negative values fragile to low-precision denominators; attention carries error-prone computation paths demanding strict forward-backward quantization consistency."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.04422","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2607.04422/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-07T02:19:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i8NCnszwAl3M00Xw2NilLMsjcwIF8ajs3EJkduTJ5hV542ismHUjRP6EDGd0pisPDSB5Tp3tEo2kGmRv0zx4CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T05:26:09.062430Z"},"content_sha256":"06aee0c8f047fa23ab0682b8d4a1e4328b36cb6604c942912f459b54a58d1249","schema_version":"1.0","event_id":"sha256:06aee0c8f047fa23ab0682b8d4a1e4328b36cb6604c942912f459b54a58d1249"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/B6DMMX2ETQV5LCZSEBWAUTNQYE/bundle.json","state_url":"https://pith.science/pith/B6DMMX2ETQV5LCZSEBWAUTNQYE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/B6DMMX2ETQV5LCZSEBWAUTNQYE/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-07T05:26:09Z","links":{"resolver":"https://pith.science/pith/B6DMMX2ETQV5LCZSEBWAUTNQYE","bundle":"https://pith.science/pith/B6DMMX2ETQV5LCZSEBWAUTNQYE/bundle.json","state":"https://pith.science/pith/B6DMMX2ETQV5LCZSEBWAUTNQYE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/B6DMMX2ETQV5LCZSEBWAUTNQYE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:B6DMMX2ETQV5LCZSEBWAUTNQYE","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":"77df34937e3f82d727afcd49d188f5a17f280959e76d277fe2f08a0282feeca3","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-05T17:31:36Z","title_canon_sha256":"7841810ec935ac4bac5d05b37b3ba7acf1b9b0edda4b915b5f5f7ed80308f78d"},"schema_version":"1.0","source":{"id":"2607.04422","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.04422","created_at":"2026-07-07T02:19:17Z"},{"alias_kind":"arxiv_version","alias_value":"2607.04422v1","created_at":"2026-07-07T02:19:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.04422","created_at":"2026-07-07T02:19:17Z"},{"alias_kind":"pith_short_12","alias_value":"B6DMMX2ETQV5","created_at":"2026-07-07T02:19:17Z"},{"alias_kind":"pith_short_16","alias_value":"B6DMMX2ETQV5LCZS","created_at":"2026-07-07T02:19:17Z"},{"alias_kind":"pith_short_8","alias_value":"B6DMMX2E","created_at":"2026-07-07T02:19:17Z"}],"graph_snapshots":[{"event_id":"sha256:06aee0c8f047fa23ab0682b8d4a1e4328b36cb6604c942912f459b54a58d1249","target":"graph","created_at":"2026-07-07T02:19:17Z","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/2607.04422/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent NVFP4 pretraining methods mainly target transformer linear layers, leaving optimizer states, optimizer arithmetic and attention underexplored in 4-bit pipelines. This critical gap blocks stable full-stack 4-bit pretraining, as the three core modules exhibit unique numerical failure patterns: linear layers hit hard quantization noise limits with dimension-propagated error amplification; AdamW second moments are heavy-tailed non-negative values fragile to low-precision denominators; attention carries error-prone computation paths demanding strict forward-backward quantization consistency.","authors_text":"Guoqi Li, Jiabo Tong, Mingchuan Ma, Siyu Ding, Xingrun Xing, Ziming Wang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-05T17:31:36Z","title":"Full-Stack FP4: Stable LLM Pretraining with Quantized Projections, Optimizers, and Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.04422","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":"sha256:5dc94c4f333e1aad5c798d57060b8dc33433c5b3fd8587227433d81f041cda32","target":"record","created_at":"2026-07-07T02:19:17Z","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":"77df34937e3f82d727afcd49d188f5a17f280959e76d277fe2f08a0282feeca3","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-05T17:31:36Z","title_canon_sha256":"7841810ec935ac4bac5d05b37b3ba7acf1b9b0edda4b915b5f5f7ed80308f78d"},"schema_version":"1.0","source":{"id":"2607.04422","kind":"arxiv","version":1}},"canonical_sha256":"0f86c65f449c2bd58b32206c0a4db0c1351aa49863abb9ea0ce1bb643b5c1788","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0f86c65f449c2bd58b32206c0a4db0c1351aa49863abb9ea0ce1bb643b5c1788","first_computed_at":"2026-07-07T02:19:17.691942Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-07T02:19:17.691942Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ukKnVahXPV0njWgKR4E7AWOrd+RL9Mom9jPf8Q4Y1d3VKwEoSB2tkItij59o8CZbXEQbHQJjDXwDvxVKXc/HDQ==","signature_status":"signed_v1","signed_at":"2026-07-07T02:19:17.692694Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.04422","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5dc94c4f333e1aad5c798d57060b8dc33433c5b3fd8587227433d81f041cda32","sha256:06aee0c8f047fa23ab0682b8d4a1e4328b36cb6604c942912f459b54a58d1249"],"state_sha256":"e48f57f88c30eb8646c37f1897b8a0051fc7a36674a05ac2e418045b286b81d4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"35cSpaDLKGj1jd5+sl4V606tBJP3D3cJGPWQofjPEFajGuIb+kTPEG8SIdxFWaQBn5dT4RhBT0d3EWsoaoOOBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T05:26:09.066016Z","bundle_sha256":"d00a7235d37e9664ed324cd44deb0ac4511318f7739eda0b45a7996978ebde88"}}