{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:66DTBGCSZYLYL6TLDWSJ7RMPI3","short_pith_number":"pith:66DTBGCS","canonical_record":{"source":{"id":"2304.09049","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-04-18T15:13:10Z","cross_cats_sorted":[],"title_canon_sha256":"a0198721e090405ad0b3f3449bd02d852ab680a6c088f9d1c98e8eacc9596323","abstract_canon_sha256":"6e055f6704c74e139ed4055a999a27ccf056930da89334b2252343fa63c26a12"},"schema_version":"1.0"},"canonical_sha256":"f787309852ce1785fa6b1da49fc58f46dba5233da3c3b1c85021220e0477c1dd","source":{"kind":"arxiv","id":"2304.09049","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.09049","created_at":"2026-07-05T06:02:16Z"},{"alias_kind":"arxiv_version","alias_value":"2304.09049v1","created_at":"2026-07-05T06:02:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.09049","created_at":"2026-07-05T06:02:16Z"},{"alias_kind":"pith_short_12","alias_value":"66DTBGCSZYLY","created_at":"2026-07-05T06:02:16Z"},{"alias_kind":"pith_short_16","alias_value":"66DTBGCSZYLYL6TL","created_at":"2026-07-05T06:02:16Z"},{"alias_kind":"pith_short_8","alias_value":"66DTBGCS","created_at":"2026-07-05T06:02:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:66DTBGCSZYLYL6TLDWSJ7RMPI3","target":"record","payload":{"canonical_record":{"source":{"id":"2304.09049","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-04-18T15:13:10Z","cross_cats_sorted":[],"title_canon_sha256":"a0198721e090405ad0b3f3449bd02d852ab680a6c088f9d1c98e8eacc9596323","abstract_canon_sha256":"6e055f6704c74e139ed4055a999a27ccf056930da89334b2252343fa63c26a12"},"schema_version":"1.0"},"canonical_sha256":"f787309852ce1785fa6b1da49fc58f46dba5233da3c3b1c85021220e0477c1dd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:02:16.132725Z","signature_b64":"MP/2r2bcllKHZKvxaCDKwfTObTSxgyvWkA3Jd2dDVR5wmU3vAyqt/UXdHmeqpZKfknafEhOBZXwrr/Q84rgsDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f787309852ce1785fa6b1da49fc58f46dba5233da3c3b1c85021220e0477c1dd","last_reissued_at":"2026-07-05T06:02:16.132302Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:02:16.132302Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.09049","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":"2026-07-05T06:02:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zpEyHiMT5pQJgy2WT4galLdP3CncOUaHmqK3mkUiEwWXEsz1xDH+c5UJ3wHya4+MALNT6XLrOYRbeoHs4+QLBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-19T05:50:55.648009Z"},"content_sha256":"bf288a7268a24644a6319e2630794fa3eb6ca6986d589aa8717a927f22244ab3","schema_version":"1.0","event_id":"sha256:bf288a7268a24644a6319e2630794fa3eb6ca6986d589aa8717a927f22244ab3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:66DTBGCSZYLYL6TLDWSJ7RMPI3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DeepGEMM: Accelerated Ultra Low-Precision Inference on CPU Architectures using Lookup Tables","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Ahmed Hassanien, Alexander Hoffman, Darshan C. Ganji, Ehsan Saboori, Mathieu L\\'eonardon, MohammadHossein AskariHemmat, Saad Ashfaq, Saptarshi Mitra, Sudhakar Sah","submitted_at":"2023-04-18T15:13:10Z","abstract_excerpt":"A lot of recent progress has been made in ultra low-bit quantization, promising significant improvements in latency, memory footprint and energy consumption on edge devices. Quantization methods such as Learned Step Size Quantization can achieve model accuracy that is comparable to full-precision floating-point baselines even with sub-byte quantization. However, it is extremely challenging to deploy these ultra low-bit quantized models on mainstream CPU devices because commodity SIMD (Single Instruction, Multiple Data) hardware typically supports no less than 8-bit precision. To overcome this "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.09049","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/2304.09049/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":"2026-07-05T06:02:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LUxNqcQeBbQsPvIFkQL/NzF2/g5XY/hYSf00mEWXA5zHS0dZCpmrEHTAXOsUVvGEsKdf4uMyjDdoIWcSfqDeBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-19T05:50:55.648383Z"},"content_sha256":"452d0a79bc1aee0d330e8ac9dafc67e29ef14a013992b9998beeb6fe00f91069","schema_version":"1.0","event_id":"sha256:452d0a79bc1aee0d330e8ac9dafc67e29ef14a013992b9998beeb6fe00f91069"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/66DTBGCSZYLYL6TLDWSJ7RMPI3/bundle.json","state_url":"https://pith.science/pith/66DTBGCSZYLYL6TLDWSJ7RMPI3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/66DTBGCSZYLYL6TLDWSJ7RMPI3/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":"2026-07-19T05:50:55Z","links":{"resolver":"https://pith.science/pith/66DTBGCSZYLYL6TLDWSJ7RMPI3","bundle":"https://pith.science/pith/66DTBGCSZYLYL6TLDWSJ7RMPI3/bundle.json","state":"https://pith.science/pith/66DTBGCSZYLYL6TLDWSJ7RMPI3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/66DTBGCSZYLYL6TLDWSJ7RMPI3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:66DTBGCSZYLYL6TLDWSJ7RMPI3","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":"6e055f6704c74e139ed4055a999a27ccf056930da89334b2252343fa63c26a12","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-04-18T15:13:10Z","title_canon_sha256":"a0198721e090405ad0b3f3449bd02d852ab680a6c088f9d1c98e8eacc9596323"},"schema_version":"1.0","source":{"id":"2304.09049","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.09049","created_at":"2026-07-05T06:02:16Z"},{"alias_kind":"arxiv_version","alias_value":"2304.09049v1","created_at":"2026-07-05T06:02:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.09049","created_at":"2026-07-05T06:02:16Z"},{"alias_kind":"pith_short_12","alias_value":"66DTBGCSZYLY","created_at":"2026-07-05T06:02:16Z"},{"alias_kind":"pith_short_16","alias_value":"66DTBGCSZYLYL6TL","created_at":"2026-07-05T06:02:16Z"},{"alias_kind":"pith_short_8","alias_value":"66DTBGCS","created_at":"2026-07-05T06:02:16Z"}],"graph_snapshots":[{"event_id":"sha256:452d0a79bc1aee0d330e8ac9dafc67e29ef14a013992b9998beeb6fe00f91069","target":"graph","created_at":"2026-07-05T06:02:16Z","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/2304.09049/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A lot of recent progress has been made in ultra low-bit quantization, promising significant improvements in latency, memory footprint and energy consumption on edge devices. Quantization methods such as Learned Step Size Quantization can achieve model accuracy that is comparable to full-precision floating-point baselines even with sub-byte quantization. However, it is extremely challenging to deploy these ultra low-bit quantized models on mainstream CPU devices because commodity SIMD (Single Instruction, Multiple Data) hardware typically supports no less than 8-bit precision. To overcome this ","authors_text":"Ahmed Hassanien, Alexander Hoffman, Darshan C. Ganji, Ehsan Saboori, Mathieu L\\'eonardon, MohammadHossein AskariHemmat, Saad Ashfaq, Saptarshi Mitra, Sudhakar Sah","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-04-18T15:13:10Z","title":"DeepGEMM: Accelerated Ultra Low-Precision Inference on CPU Architectures using Lookup Tables"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.09049","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:bf288a7268a24644a6319e2630794fa3eb6ca6986d589aa8717a927f22244ab3","target":"record","created_at":"2026-07-05T06:02:16Z","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":"6e055f6704c74e139ed4055a999a27ccf056930da89334b2252343fa63c26a12","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-04-18T15:13:10Z","title_canon_sha256":"a0198721e090405ad0b3f3449bd02d852ab680a6c088f9d1c98e8eacc9596323"},"schema_version":"1.0","source":{"id":"2304.09049","kind":"arxiv","version":1}},"canonical_sha256":"f787309852ce1785fa6b1da49fc58f46dba5233da3c3b1c85021220e0477c1dd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f787309852ce1785fa6b1da49fc58f46dba5233da3c3b1c85021220e0477c1dd","first_computed_at":"2026-07-05T06:02:16.132302Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:02:16.132302Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MP/2r2bcllKHZKvxaCDKwfTObTSxgyvWkA3Jd2dDVR5wmU3vAyqt/UXdHmeqpZKfknafEhOBZXwrr/Q84rgsDw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:02:16.132725Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.09049","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bf288a7268a24644a6319e2630794fa3eb6ca6986d589aa8717a927f22244ab3","sha256:452d0a79bc1aee0d330e8ac9dafc67e29ef14a013992b9998beeb6fe00f91069"],"state_sha256":"1fbf43620c1ec0b9bef89e7a0f642f3feab2740940c6c6942fb6b2da5e9ae229"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a5QBuorH4gBolIgZrW60Q4mRMS0jjEKaZe1dFHw/Q7u5G5K1leQBGNt9lYJQU+9ooFkmaYznDJaMy2ZXNlhACQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-19T05:50:55.650615Z","bundle_sha256":"ad53e95cc5e165695fbfa7ccc1b262a02d5670d7091e2449e429f9486e2ddb5e"}}