{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:GVVOQOEQEEWJJOP2E5SPD5E47H","short_pith_number":"pith:GVVOQOEQ","canonical_record":{"source":{"id":"2502.12444","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-18T02:26:34Z","cross_cats_sorted":["cs.AI","cs.AR","cs.PF"],"title_canon_sha256":"ac05efcd76eb3ba0a45becfe951ef43d0c1226c4d9a877040060c7703cf05802","abstract_canon_sha256":"fba1829ec1e6f181253477837f3b8d85190c9bd480f930950adc955d5e60e97d"},"schema_version":"1.0"},"canonical_sha256":"356ae83890212c94b9fa2764f1f49cf9de2f3f54b2f6c28496f055bd6545115f","source":{"kind":"arxiv","id":"2502.12444","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.12444","created_at":"2026-07-05T10:15:55Z"},{"alias_kind":"arxiv_version","alias_value":"2502.12444v1","created_at":"2026-07-05T10:15:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.12444","created_at":"2026-07-05T10:15:55Z"},{"alias_kind":"pith_short_12","alias_value":"GVVOQOEQEEWJ","created_at":"2026-07-05T10:15:55Z"},{"alias_kind":"pith_short_16","alias_value":"GVVOQOEQEEWJJOP2","created_at":"2026-07-05T10:15:55Z"},{"alias_kind":"pith_short_8","alias_value":"GVVOQOEQ","created_at":"2026-07-05T10:15:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:GVVOQOEQEEWJJOP2E5SPD5E47H","target":"record","payload":{"canonical_record":{"source":{"id":"2502.12444","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-18T02:26:34Z","cross_cats_sorted":["cs.AI","cs.AR","cs.PF"],"title_canon_sha256":"ac05efcd76eb3ba0a45becfe951ef43d0c1226c4d9a877040060c7703cf05802","abstract_canon_sha256":"fba1829ec1e6f181253477837f3b8d85190c9bd480f930950adc955d5e60e97d"},"schema_version":"1.0"},"canonical_sha256":"356ae83890212c94b9fa2764f1f49cf9de2f3f54b2f6c28496f055bd6545115f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:15:55.840505Z","signature_b64":"ETlX49GWKAc5fHDv6fcydlQ0cHVlCkazcEXC9904BWAs8bjo6fhV2cVsPQ8SlE/+FtY0/Qtkfitwj+RWpuE5CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"356ae83890212c94b9fa2764f1f49cf9de2f3f54b2f6c28496f055bd6545115f","last_reissued_at":"2026-07-05T10:15:55.839713Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:15:55.839713Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.12444","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":"2026-07-05T10:15:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KA0lllUqxltxB7N6uEFrPH7Lqnv3XGkO/XiEozT5UOHx5gNXbRJ6QQxLMNKACq4PqyowE2fzdF6zqu2St4H8Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T15:01:54.708369Z"},"content_sha256":"de9380f4ec275bb70fb6c4816df87b81239313c52006faddae5702744928f73d","schema_version":"1.0","event_id":"sha256:de9380f4ec275bb70fb6c4816df87b81239313c52006faddae5702744928f73d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:GVVOQOEQEEWJJOP2E5SPD5E47H","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SparAMX: Accelerating Compressed LLMs Token Generation on AMX-powered CPUs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.AR","cs.PF"],"primary_cat":"cs.LG","authors_text":"Ahmed F. AbouElhamayed, Chi-Chih Chang, Jordan Dotzel, J. Pablo Mu\\~noz, Mohamed S. Abdelfattah, Nilesh Jain, Sameh Gobriel, Vui Seng Chua, Yash Akhauri","submitted_at":"2025-02-18T02:26:34Z","abstract_excerpt":"Large language models have high compute, latency, and memory requirements. While specialized accelerators such as GPUs and TPUs typically run these workloads, CPUs are more widely available and consume less energy. Accelerating LLMs with CPUs enables broader AI access at a lower cost and power consumption. This acceleration potential for CPUs is especially relevant during the memory-bound decoding stage of LLM inference, which processes one token at a time and is becoming increasingly utilized with reasoning models. We utilize Advanced Matrix Extensions (AMX) support on the latest Intel CPUs t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.12444","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/2502.12444/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":"2026-07-05T10:15:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jYtyinNUpGe6N7oyVhGIn36WAuQyEA5aOj8t89kZUwxHiaAhi1TmC8gqQlvS4WavWEPgmdMUN3bRCAAiuNKcCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T15:01:54.709227Z"},"content_sha256":"83aa6dcf66d419c78a771c636e612f45cd237b1341f32a407d73ef4386f98f65","schema_version":"1.0","event_id":"sha256:83aa6dcf66d419c78a771c636e612f45cd237b1341f32a407d73ef4386f98f65"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GVVOQOEQEEWJJOP2E5SPD5E47H/bundle.json","state_url":"https://pith.science/pith/GVVOQOEQEEWJJOP2E5SPD5E47H/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GVVOQOEQEEWJJOP2E5SPD5E47H/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":"2026-08-20T15:01:54Z","links":{"resolver":"https://pith.science/pith/GVVOQOEQEEWJJOP2E5SPD5E47H","bundle":"https://pith.science/pith/GVVOQOEQEEWJJOP2E5SPD5E47H/bundle.json","state":"https://pith.science/pith/GVVOQOEQEEWJJOP2E5SPD5E47H/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GVVOQOEQEEWJJOP2E5SPD5E47H/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GVVOQOEQEEWJJOP2E5SPD5E47H","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":"fba1829ec1e6f181253477837f3b8d85190c9bd480f930950adc955d5e60e97d","cross_cats_sorted":["cs.AI","cs.AR","cs.PF"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-18T02:26:34Z","title_canon_sha256":"ac05efcd76eb3ba0a45becfe951ef43d0c1226c4d9a877040060c7703cf05802"},"schema_version":"1.0","source":{"id":"2502.12444","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.12444","created_at":"2026-07-05T10:15:55Z"},{"alias_kind":"arxiv_version","alias_value":"2502.12444v1","created_at":"2026-07-05T10:15:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.12444","created_at":"2026-07-05T10:15:55Z"},{"alias_kind":"pith_short_12","alias_value":"GVVOQOEQEEWJ","created_at":"2026-07-05T10:15:55Z"},{"alias_kind":"pith_short_16","alias_value":"GVVOQOEQEEWJJOP2","created_at":"2026-07-05T10:15:55Z"},{"alias_kind":"pith_short_8","alias_value":"GVVOQOEQ","created_at":"2026-07-05T10:15:55Z"}],"graph_snapshots":[{"event_id":"sha256:83aa6dcf66d419c78a771c636e612f45cd237b1341f32a407d73ef4386f98f65","target":"graph","created_at":"2026-07-05T10:15:55Z","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/2502.12444/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models have high compute, latency, and memory requirements. While specialized accelerators such as GPUs and TPUs typically run these workloads, CPUs are more widely available and consume less energy. Accelerating LLMs with CPUs enables broader AI access at a lower cost and power consumption. This acceleration potential for CPUs is especially relevant during the memory-bound decoding stage of LLM inference, which processes one token at a time and is becoming increasingly utilized with reasoning models. We utilize Advanced Matrix Extensions (AMX) support on the latest Intel CPUs t","authors_text":"Ahmed F. AbouElhamayed, Chi-Chih Chang, Jordan Dotzel, J. Pablo Mu\\~noz, Mohamed S. Abdelfattah, Nilesh Jain, Sameh Gobriel, Vui Seng Chua, Yash Akhauri","cross_cats":["cs.AI","cs.AR","cs.PF"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-18T02:26:34Z","title":"SparAMX: Accelerating Compressed LLMs Token Generation on AMX-powered CPUs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.12444","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:de9380f4ec275bb70fb6c4816df87b81239313c52006faddae5702744928f73d","target":"record","created_at":"2026-07-05T10:15:55Z","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":"fba1829ec1e6f181253477837f3b8d85190c9bd480f930950adc955d5e60e97d","cross_cats_sorted":["cs.AI","cs.AR","cs.PF"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-18T02:26:34Z","title_canon_sha256":"ac05efcd76eb3ba0a45becfe951ef43d0c1226c4d9a877040060c7703cf05802"},"schema_version":"1.0","source":{"id":"2502.12444","kind":"arxiv","version":1}},"canonical_sha256":"356ae83890212c94b9fa2764f1f49cf9de2f3f54b2f6c28496f055bd6545115f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"356ae83890212c94b9fa2764f1f49cf9de2f3f54b2f6c28496f055bd6545115f","first_computed_at":"2026-07-05T10:15:55.839713Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:15:55.839713Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ETlX49GWKAc5fHDv6fcydlQ0cHVlCkazcEXC9904BWAs8bjo6fhV2cVsPQ8SlE/+FtY0/Qtkfitwj+RWpuE5CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:15:55.840505Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.12444","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:de9380f4ec275bb70fb6c4816df87b81239313c52006faddae5702744928f73d","sha256:83aa6dcf66d419c78a771c636e612f45cd237b1341f32a407d73ef4386f98f65"],"state_sha256":"6ee71d3671f7461d30610031953d34c67664271dd90bb00ad53a3fa6d3472d58"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UcoudrEMbf1L0iFL+JxaFKOXD1IipTfA5XCM5dr6OV59kmhXVlIoReSBPKXoPVdRPcuswKm0l/BXDHtFs1+PCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T15:01:54.715086Z","bundle_sha256":"cfd8114b3c8d982ca48ac3005a79a6809a1daf2a5ac6414b9359f79657df8e6f"}}