{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:VL4S7YSVX2MVVWQP6FQ7LDMQ2V","short_pith_number":"pith:VL4S7YSV","canonical_record":{"source":{"id":"2411.09909","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-11-15T03:11:19Z","cross_cats_sorted":[],"title_canon_sha256":"57eda75bbc34ef248fb665d2abec416dbe1e6263a8bff60f5eab82dc79fc4e06","abstract_canon_sha256":"0b7c1956e5e98f0a3630da779bddd8dd8effee7b0ca4be268f72a135ea960bc1"},"schema_version":"1.0"},"canonical_sha256":"aaf92fe255be995ada0ff161f58d90d57fee5eb05ae6a286d1d171f4c0ec7a65","source":{"kind":"arxiv","id":"2411.09909","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.09909","created_at":"2026-07-05T11:12:22Z"},{"alias_kind":"arxiv_version","alias_value":"2411.09909v2","created_at":"2026-07-05T11:12:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.09909","created_at":"2026-07-05T11:12:22Z"},{"alias_kind":"pith_short_12","alias_value":"VL4S7YSVX2MV","created_at":"2026-07-05T11:12:22Z"},{"alias_kind":"pith_short_16","alias_value":"VL4S7YSVX2MVVWQP","created_at":"2026-07-05T11:12:22Z"},{"alias_kind":"pith_short_8","alias_value":"VL4S7YSV","created_at":"2026-07-05T11:12:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:VL4S7YSVX2MVVWQP6FQ7LDMQ2V","target":"record","payload":{"canonical_record":{"source":{"id":"2411.09909","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-11-15T03:11:19Z","cross_cats_sorted":[],"title_canon_sha256":"57eda75bbc34ef248fb665d2abec416dbe1e6263a8bff60f5eab82dc79fc4e06","abstract_canon_sha256":"0b7c1956e5e98f0a3630da779bddd8dd8effee7b0ca4be268f72a135ea960bc1"},"schema_version":"1.0"},"canonical_sha256":"aaf92fe255be995ada0ff161f58d90d57fee5eb05ae6a286d1d171f4c0ec7a65","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:12:22.225071Z","signature_b64":"cKAzrzBCcYal1zSnXlxkaQ/SiW+9JJRwcqRn6wAn2qpVD6PR5cC6ZcQiMAhwjaAU2RaEs5s0Ta2vqrB3twFFDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aaf92fe255be995ada0ff161f58d90d57fee5eb05ae6a286d1d171f4c0ec7a65","last_reissued_at":"2026-07-05T11:12:22.224600Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:12:22.224600Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.09909","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:12:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tZW/mLro+tZ4mZqfAxBIK8oyENysjY/lkGlycGJ9iqkQ3OmR3ESvbW4npc/dvL5dJ4LNg7Oaco1A4BQvPrisCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T00:33:57.865950Z"},"content_sha256":"36102291a6203a569ea9d8eaa4be471756e52cfa81f2b1d6a65ce5ddb8036319","schema_version":"1.0","event_id":"sha256:36102291a6203a569ea9d8eaa4be471756e52cfa81f2b1d6a65ce5ddb8036319"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:VL4S7YSVX2MVVWQP6FQ7LDMQ2V","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AMXFP4: Taming Activation Outliers with Asymmetric Microscaling Floating-Point for 4-bit LLM Inference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Janghwan Lee, Jinseok Kim, Jinwook Oh, Jiwoong Park, Jungju Oh, Jungwook Choi, Yongjik Kim","submitted_at":"2024-11-15T03:11:19Z","abstract_excerpt":"As large language models (LLMs) grow in parameter size and context length, computation precision has been reduced from 16-bit to 4-bit to improve inference efficiency. However, this reduction causes accuracy degradation due to activation outliers. Rotation-based INT4 methods address this via matrix calibration, but they introduce multi-hour overheads and leave key computations in full precision. Microscaling (MX) floating-point (FP) formats offer fine-grained representation with a shared scale, enabling fully quantized matrix multiplications through direct casting without calibration. However,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.09909","kind":"arxiv","version":2},"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/2411.09909/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":"2026-07-05T11:12:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3Cnz6GRRiIioUfEtl1h5+1c+8rSTrYXtuwoBA6LAeabOcbiijQNhL1FPV+S4s19/9PBJt/kKxRcD/XaHUyGCBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T00:33:57.866387Z"},"content_sha256":"73d394b31f1de861b0859ee1b7165ec4c09e2bf6c1de7b55cdeca29a2e09c99e","schema_version":"1.0","event_id":"sha256:73d394b31f1de861b0859ee1b7165ec4c09e2bf6c1de7b55cdeca29a2e09c99e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VL4S7YSVX2MVVWQP6FQ7LDMQ2V/bundle.json","state_url":"https://pith.science/pith/VL4S7YSVX2MVVWQP6FQ7LDMQ2V/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VL4S7YSVX2MVVWQP6FQ7LDMQ2V/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":"2026-08-14T00:33:57Z","links":{"resolver":"https://pith.science/pith/VL4S7YSVX2MVVWQP6FQ7LDMQ2V","bundle":"https://pith.science/pith/VL4S7YSVX2MVVWQP6FQ7LDMQ2V/bundle.json","state":"https://pith.science/pith/VL4S7YSVX2MVVWQP6FQ7LDMQ2V/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VL4S7YSVX2MVVWQP6FQ7LDMQ2V/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:VL4S7YSVX2MVVWQP6FQ7LDMQ2V","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":"0b7c1956e5e98f0a3630da779bddd8dd8effee7b0ca4be268f72a135ea960bc1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-11-15T03:11:19Z","title_canon_sha256":"57eda75bbc34ef248fb665d2abec416dbe1e6263a8bff60f5eab82dc79fc4e06"},"schema_version":"1.0","source":{"id":"2411.09909","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.09909","created_at":"2026-07-05T11:12:22Z"},{"alias_kind":"arxiv_version","alias_value":"2411.09909v2","created_at":"2026-07-05T11:12:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.09909","created_at":"2026-07-05T11:12:22Z"},{"alias_kind":"pith_short_12","alias_value":"VL4S7YSVX2MV","created_at":"2026-07-05T11:12:22Z"},{"alias_kind":"pith_short_16","alias_value":"VL4S7YSVX2MVVWQP","created_at":"2026-07-05T11:12:22Z"},{"alias_kind":"pith_short_8","alias_value":"VL4S7YSV","created_at":"2026-07-05T11:12:22Z"}],"graph_snapshots":[{"event_id":"sha256:73d394b31f1de861b0859ee1b7165ec4c09e2bf6c1de7b55cdeca29a2e09c99e","target":"graph","created_at":"2026-07-05T11:12:22Z","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/2411.09909/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As large language models (LLMs) grow in parameter size and context length, computation precision has been reduced from 16-bit to 4-bit to improve inference efficiency. However, this reduction causes accuracy degradation due to activation outliers. Rotation-based INT4 methods address this via matrix calibration, but they introduce multi-hour overheads and leave key computations in full precision. Microscaling (MX) floating-point (FP) formats offer fine-grained representation with a shared scale, enabling fully quantized matrix multiplications through direct casting without calibration. However,","authors_text":"Janghwan Lee, Jinseok Kim, Jinwook Oh, Jiwoong Park, Jungju Oh, Jungwook Choi, Yongjik Kim","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-11-15T03:11:19Z","title":"AMXFP4: Taming Activation Outliers with Asymmetric Microscaling Floating-Point for 4-bit LLM Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.09909","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":"sha256:36102291a6203a569ea9d8eaa4be471756e52cfa81f2b1d6a65ce5ddb8036319","target":"record","created_at":"2026-07-05T11:12:22Z","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":"0b7c1956e5e98f0a3630da779bddd8dd8effee7b0ca4be268f72a135ea960bc1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-11-15T03:11:19Z","title_canon_sha256":"57eda75bbc34ef248fb665d2abec416dbe1e6263a8bff60f5eab82dc79fc4e06"},"schema_version":"1.0","source":{"id":"2411.09909","kind":"arxiv","version":2}},"canonical_sha256":"aaf92fe255be995ada0ff161f58d90d57fee5eb05ae6a286d1d171f4c0ec7a65","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aaf92fe255be995ada0ff161f58d90d57fee5eb05ae6a286d1d171f4c0ec7a65","first_computed_at":"2026-07-05T11:12:22.224600Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:12:22.224600Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cKAzrzBCcYal1zSnXlxkaQ/SiW+9JJRwcqRn6wAn2qpVD6PR5cC6ZcQiMAhwjaAU2RaEs5s0Ta2vqrB3twFFDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:12:22.225071Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.09909","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:36102291a6203a569ea9d8eaa4be471756e52cfa81f2b1d6a65ce5ddb8036319","sha256:73d394b31f1de861b0859ee1b7165ec4c09e2bf6c1de7b55cdeca29a2e09c99e"],"state_sha256":"61f88618e590e96400e1401c1d7bb5f12850ef647e4347c75cbb7c7c62681b45"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V/s6RzGMMwIjgrGIZav5D0/06X1b5C8LlEYfk7Db8Tbjeq19Yx+oY5ekIICJAJbSXpG7O8W9dr2V+49yX4yICg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T00:33:57.897341Z","bundle_sha256":"3adced26a86d3dab37c0a2a5329fdb1a943b14983e2e08d31147ec5c17e69e84"}}