{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:DQCLT6V7ELH2GDIM4NNXUV74DU","short_pith_number":"pith:DQCLT6V7","canonical_record":{"source":{"id":"2311.10207","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2023-11-16T21:43:05Z","cross_cats_sorted":["cs.CV","cs.LG","stat.ML"],"title_canon_sha256":"b28b151d970cfde5ecd02374bd54800a3f75bb14cfc73da9dafc973cafc12479","abstract_canon_sha256":"96810125901fef16fd286ebf16d154feda6dd2c1e3fc9bf95516b61e3246cd3c"},"schema_version":"1.0"},"canonical_sha256":"1c04b9fabf22cfa30d0ce35b7a57fc1d3eeeac3784d9e6f000e9facef86089bc","source":{"kind":"arxiv","id":"2311.10207","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.10207","created_at":"2026-07-05T11:43:05Z"},{"alias_kind":"arxiv_version","alias_value":"2311.10207v2","created_at":"2026-07-05T11:43:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.10207","created_at":"2026-07-05T11:43:05Z"},{"alias_kind":"pith_short_12","alias_value":"DQCLT6V7ELH2","created_at":"2026-07-05T11:43:05Z"},{"alias_kind":"pith_short_16","alias_value":"DQCLT6V7ELH2GDIM","created_at":"2026-07-05T11:43:05Z"},{"alias_kind":"pith_short_8","alias_value":"DQCLT6V7","created_at":"2026-07-05T11:43:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:DQCLT6V7ELH2GDIM4NNXUV74DU","target":"record","payload":{"canonical_record":{"source":{"id":"2311.10207","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2023-11-16T21:43:05Z","cross_cats_sorted":["cs.CV","cs.LG","stat.ML"],"title_canon_sha256":"b28b151d970cfde5ecd02374bd54800a3f75bb14cfc73da9dafc973cafc12479","abstract_canon_sha256":"96810125901fef16fd286ebf16d154feda6dd2c1e3fc9bf95516b61e3246cd3c"},"schema_version":"1.0"},"canonical_sha256":"1c04b9fabf22cfa30d0ce35b7a57fc1d3eeeac3784d9e6f000e9facef86089bc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:43:05.279588Z","signature_b64":"zmKORZXdJgGpWDTRYaMh5mVjyH31Vws5ZsyiRGYHKajFMzvNBNvbZ4RhwwJXDol3cBw5Ek2fT0DGZO5hrrj3AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1c04b9fabf22cfa30d0ce35b7a57fc1d3eeeac3784d9e6f000e9facef86089bc","last_reissued_at":"2026-07-05T11:43:05.279088Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:43:05.279088Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.10207","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":"2026-07-05T11:43:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Oyl1QdjoAN4bxfRQpcuvF422yxWScetSG8L4abRF6WClOSj1F5zYeidj+py3OSgiy8azwseyaqJWZWjIDuGDAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T04:20:19.512057Z"},"content_sha256":"a4e12138960cb91f42fcec7430cc9f929f4b042c646f7613ad47366090cea968","schema_version":"1.0","event_id":"sha256:a4e12138960cb91f42fcec7430cc9f929f4b042c646f7613ad47366090cea968"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:DQCLT6V7ELH2GDIM4NNXUV74DU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Stella Nera: A Differentiable Maddness-Based Hardware Accelerator for Efficient Approximate Matrix Multiplication","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.LG","stat.ML"],"primary_cat":"cs.AR","authors_text":"Jannis Sch\\\"onleber, Luca Benini, Lukas Cavigelli, Matteo Perotti, Renzo Andri","submitted_at":"2023-11-16T21:43:05Z","abstract_excerpt":"Artificial intelligence has surged in recent years, with advancements in machine learning rapidly impacting nearly every area of life. However, the growing complexity of these models has far outpaced advancements in available hardware accelerators, leading to significant computational and energy demands, primarily due to matrix multiplications, which dominate the compute workload. Maddness (i.e., Multiply-ADDitioN-lESS) presents a hash-based version of product quantization, which renders matrix multiplications into lookups and additions, eliminating the need for multipliers entirely. We presen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.10207","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/2311.10207/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":"2026-07-05T11:43:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qpAuRvgT1mIfn6uY5cunemLDLbNo+34SO9rqOxilCAhotQZOAEqi+q4y7ZKeceuYWO6D0P/0TH/kkkxqZzjwCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T04:20:19.513279Z"},"content_sha256":"d60e0e62bb2ea3380eb0af7ccb78d32bea0825233d4ce694a09d739878ad95cf","schema_version":"1.0","event_id":"sha256:d60e0e62bb2ea3380eb0af7ccb78d32bea0825233d4ce694a09d739878ad95cf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DQCLT6V7ELH2GDIM4NNXUV74DU/bundle.json","state_url":"https://pith.science/pith/DQCLT6V7ELH2GDIM4NNXUV74DU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DQCLT6V7ELH2GDIM4NNXUV74DU/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":"2026-08-11T04:20:19Z","links":{"resolver":"https://pith.science/pith/DQCLT6V7ELH2GDIM4NNXUV74DU","bundle":"https://pith.science/pith/DQCLT6V7ELH2GDIM4NNXUV74DU/bundle.json","state":"https://pith.science/pith/DQCLT6V7ELH2GDIM4NNXUV74DU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DQCLT6V7ELH2GDIM4NNXUV74DU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:DQCLT6V7ELH2GDIM4NNXUV74DU","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":"96810125901fef16fd286ebf16d154feda6dd2c1e3fc9bf95516b61e3246cd3c","cross_cats_sorted":["cs.CV","cs.LG","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2023-11-16T21:43:05Z","title_canon_sha256":"b28b151d970cfde5ecd02374bd54800a3f75bb14cfc73da9dafc973cafc12479"},"schema_version":"1.0","source":{"id":"2311.10207","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.10207","created_at":"2026-07-05T11:43:05Z"},{"alias_kind":"arxiv_version","alias_value":"2311.10207v2","created_at":"2026-07-05T11:43:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.10207","created_at":"2026-07-05T11:43:05Z"},{"alias_kind":"pith_short_12","alias_value":"DQCLT6V7ELH2","created_at":"2026-07-05T11:43:05Z"},{"alias_kind":"pith_short_16","alias_value":"DQCLT6V7ELH2GDIM","created_at":"2026-07-05T11:43:05Z"},{"alias_kind":"pith_short_8","alias_value":"DQCLT6V7","created_at":"2026-07-05T11:43:05Z"}],"graph_snapshots":[{"event_id":"sha256:d60e0e62bb2ea3380eb0af7ccb78d32bea0825233d4ce694a09d739878ad95cf","target":"graph","created_at":"2026-07-05T11:43:05Z","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/2311.10207/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Artificial intelligence has surged in recent years, with advancements in machine learning rapidly impacting nearly every area of life. However, the growing complexity of these models has far outpaced advancements in available hardware accelerators, leading to significant computational and energy demands, primarily due to matrix multiplications, which dominate the compute workload. Maddness (i.e., Multiply-ADDitioN-lESS) presents a hash-based version of product quantization, which renders matrix multiplications into lookups and additions, eliminating the need for multipliers entirely. We presen","authors_text":"Jannis Sch\\\"onleber, Luca Benini, Lukas Cavigelli, Matteo Perotti, Renzo Andri","cross_cats":["cs.CV","cs.LG","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2023-11-16T21:43:05Z","title":"Stella Nera: A Differentiable Maddness-Based Hardware Accelerator for Efficient Approximate Matrix Multiplication"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.10207","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:a4e12138960cb91f42fcec7430cc9f929f4b042c646f7613ad47366090cea968","target":"record","created_at":"2026-07-05T11:43:05Z","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":"96810125901fef16fd286ebf16d154feda6dd2c1e3fc9bf95516b61e3246cd3c","cross_cats_sorted":["cs.CV","cs.LG","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2023-11-16T21:43:05Z","title_canon_sha256":"b28b151d970cfde5ecd02374bd54800a3f75bb14cfc73da9dafc973cafc12479"},"schema_version":"1.0","source":{"id":"2311.10207","kind":"arxiv","version":2}},"canonical_sha256":"1c04b9fabf22cfa30d0ce35b7a57fc1d3eeeac3784d9e6f000e9facef86089bc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1c04b9fabf22cfa30d0ce35b7a57fc1d3eeeac3784d9e6f000e9facef86089bc","first_computed_at":"2026-07-05T11:43:05.279088Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:43:05.279088Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zmKORZXdJgGpWDTRYaMh5mVjyH31Vws5ZsyiRGYHKajFMzvNBNvbZ4RhwwJXDol3cBw5Ek2fT0DGZO5hrrj3AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:43:05.279588Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.10207","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a4e12138960cb91f42fcec7430cc9f929f4b042c646f7613ad47366090cea968","sha256:d60e0e62bb2ea3380eb0af7ccb78d32bea0825233d4ce694a09d739878ad95cf"],"state_sha256":"ff3eec318083a4147b24b14b05809e1c62618cc4285e109388fa19097a4cf544"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OmA7HcDJgGQDvSbCiH/wcQTjQaAI5LxfLglWQq+BA3KBOjrabDFKgCzmUpf6sp44Bs23bxKm+aqiBqLDnfx0Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T04:20:19.519632Z","bundle_sha256":"795be8900f1f850629a23d1177e49b4c301a0d51b58f5c535d04b1415c50818e"}}