{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:AFTJN6HYWMNFEHS7UVZTPD5JFR","short_pith_number":"pith:AFTJN6HY","canonical_record":{"source":{"id":"2411.11940","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-18T17:07:08Z","cross_cats_sorted":[],"title_canon_sha256":"7b266bd6a84d7113d9426baa0c2b21ae87040385e60cfc7d835a64ce86edd79c","abstract_canon_sha256":"89c5fcdad27ea344a2f07254c4387183574b17f1064575d2567cb2908c2b9770"},"schema_version":"1.0"},"canonical_sha256":"016696f8f8b31a521e5fa573378fa92c522b077dd1d4f38c082d142d5c1c149f","source":{"kind":"arxiv","id":"2411.11940","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.11940","created_at":"2026-07-05T09:39:29Z"},{"alias_kind":"arxiv_version","alias_value":"2411.11940v2","created_at":"2026-07-05T09:39:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.11940","created_at":"2026-07-05T09:39:29Z"},{"alias_kind":"pith_short_12","alias_value":"AFTJN6HYWMNF","created_at":"2026-07-05T09:39:29Z"},{"alias_kind":"pith_short_16","alias_value":"AFTJN6HYWMNFEHS7","created_at":"2026-07-05T09:39:29Z"},{"alias_kind":"pith_short_8","alias_value":"AFTJN6HY","created_at":"2026-07-05T09:39:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:AFTJN6HYWMNFEHS7UVZTPD5JFR","target":"record","payload":{"canonical_record":{"source":{"id":"2411.11940","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-18T17:07:08Z","cross_cats_sorted":[],"title_canon_sha256":"7b266bd6a84d7113d9426baa0c2b21ae87040385e60cfc7d835a64ce86edd79c","abstract_canon_sha256":"89c5fcdad27ea344a2f07254c4387183574b17f1064575d2567cb2908c2b9770"},"schema_version":"1.0"},"canonical_sha256":"016696f8f8b31a521e5fa573378fa92c522b077dd1d4f38c082d142d5c1c149f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:39:29.583425Z","signature_b64":"8SID4j/he2le+wiNhC/EZ8YnNL7mHxkrM5s8tUbMwTR47ht8tJUpMnfq2/dlQTeb0jBfDw0fJ8XKCcsxl3hfBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"016696f8f8b31a521e5fa573378fa92c522b077dd1d4f38c082d142d5c1c149f","last_reissued_at":"2026-07-05T09:39:29.582840Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:39:29.582840Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.11940","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":"2026-07-05T09:39:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UoMzKOVrLVorOpzEQBNrYsFIrExbh3ueOJxXvf1dT0ZiKcOrPAHChxhntCW6Oyoa77ARvsonkRw7zp2H0F3wCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-21T20:47:05.071840Z"},"content_sha256":"de76b5ac3877c53fd535195889895b206afa7c3d121bdf8e80ee31ea6a423e1a","schema_version":"1.0","event_id":"sha256:de76b5ac3877c53fd535195889895b206afa7c3d121bdf8e80ee31ea6a423e1a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:AFTJN6HYWMNFEHS7UVZTPD5JFR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Introducing Milabench: Benchmarking Accelerators for AI","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Arnaud Bergeron, Bruno Carrez, Fabrice Normandin, Fr\\'ed\\'eric Osterrath, Guillaume Alain, Joseph Viviano, Le Zhang, Olexa Bilaniuk, Olivier Breuleux, Pierre Delaunay, Rabiul Awal, Roger Creus-Castanyer Darshan Patil, Satya Ortiz-Gagn\\'e, Soline Blanc, Xavier Bouthillier","submitted_at":"2024-11-18T17:07:08Z","abstract_excerpt":"AI workloads, particularly those driven by deep learning, are introducing novel usage patterns to high-performance computing (HPC) systems that are not comprehensively captured by standard HPC benchmarks. As one of the largest academic research centers dedicated to deep learning, Mila identified the need to develop a custom benchmarking suite to address the diverse requirements of its community, which consists of over 1,000 researchers. This report introduces Milabench, the resulting benchmarking suite. Its design was informed by an extensive literature review encompassing 867 papers, as well "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.11940","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/2411.11940/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":"2026-07-05T09:39:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8yB6XEbMgV7y2MDgz8xRIAKlhh1APVYAgPIS+GbGebZgZlQc8dc6RWtPa+rlHHG9RQVpiLeIqZL7atn3JaAPBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-21T20:47:05.072208Z"},"content_sha256":"8ce4c8ed9d02c3fd06ff18772c9b37557f7d4ef3147749d63e1a24272ac6811c","schema_version":"1.0","event_id":"sha256:8ce4c8ed9d02c3fd06ff18772c9b37557f7d4ef3147749d63e1a24272ac6811c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AFTJN6HYWMNFEHS7UVZTPD5JFR/bundle.json","state_url":"https://pith.science/pith/AFTJN6HYWMNFEHS7UVZTPD5JFR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AFTJN6HYWMNFEHS7UVZTPD5JFR/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":"2026-07-21T20:47:05Z","links":{"resolver":"https://pith.science/pith/AFTJN6HYWMNFEHS7UVZTPD5JFR","bundle":"https://pith.science/pith/AFTJN6HYWMNFEHS7UVZTPD5JFR/bundle.json","state":"https://pith.science/pith/AFTJN6HYWMNFEHS7UVZTPD5JFR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AFTJN6HYWMNFEHS7UVZTPD5JFR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:AFTJN6HYWMNFEHS7UVZTPD5JFR","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":"89c5fcdad27ea344a2f07254c4387183574b17f1064575d2567cb2908c2b9770","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-18T17:07:08Z","title_canon_sha256":"7b266bd6a84d7113d9426baa0c2b21ae87040385e60cfc7d835a64ce86edd79c"},"schema_version":"1.0","source":{"id":"2411.11940","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.11940","created_at":"2026-07-05T09:39:29Z"},{"alias_kind":"arxiv_version","alias_value":"2411.11940v2","created_at":"2026-07-05T09:39:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.11940","created_at":"2026-07-05T09:39:29Z"},{"alias_kind":"pith_short_12","alias_value":"AFTJN6HYWMNF","created_at":"2026-07-05T09:39:29Z"},{"alias_kind":"pith_short_16","alias_value":"AFTJN6HYWMNFEHS7","created_at":"2026-07-05T09:39:29Z"},{"alias_kind":"pith_short_8","alias_value":"AFTJN6HY","created_at":"2026-07-05T09:39:29Z"}],"graph_snapshots":[{"event_id":"sha256:8ce4c8ed9d02c3fd06ff18772c9b37557f7d4ef3147749d63e1a24272ac6811c","target":"graph","created_at":"2026-07-05T09:39:29Z","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/2411.11940/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"AI workloads, particularly those driven by deep learning, are introducing novel usage patterns to high-performance computing (HPC) systems that are not comprehensively captured by standard HPC benchmarks. As one of the largest academic research centers dedicated to deep learning, Mila identified the need to develop a custom benchmarking suite to address the diverse requirements of its community, which consists of over 1,000 researchers. This report introduces Milabench, the resulting benchmarking suite. Its design was informed by an extensive literature review encompassing 867 papers, as well ","authors_text":"Arnaud Bergeron, Bruno Carrez, Fabrice Normandin, Fr\\'ed\\'eric Osterrath, Guillaume Alain, Joseph Viviano, Le Zhang, Olexa Bilaniuk, Olivier Breuleux, Pierre Delaunay, Rabiul Awal, Roger Creus-Castanyer Darshan Patil, Satya Ortiz-Gagn\\'e, Soline Blanc, Xavier Bouthillier","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-18T17:07:08Z","title":"Introducing Milabench: Benchmarking Accelerators for AI"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.11940","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:de76b5ac3877c53fd535195889895b206afa7c3d121bdf8e80ee31ea6a423e1a","target":"record","created_at":"2026-07-05T09:39:29Z","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":"89c5fcdad27ea344a2f07254c4387183574b17f1064575d2567cb2908c2b9770","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-18T17:07:08Z","title_canon_sha256":"7b266bd6a84d7113d9426baa0c2b21ae87040385e60cfc7d835a64ce86edd79c"},"schema_version":"1.0","source":{"id":"2411.11940","kind":"arxiv","version":2}},"canonical_sha256":"016696f8f8b31a521e5fa573378fa92c522b077dd1d4f38c082d142d5c1c149f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"016696f8f8b31a521e5fa573378fa92c522b077dd1d4f38c082d142d5c1c149f","first_computed_at":"2026-07-05T09:39:29.582840Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:39:29.582840Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8SID4j/he2le+wiNhC/EZ8YnNL7mHxkrM5s8tUbMwTR47ht8tJUpMnfq2/dlQTeb0jBfDw0fJ8XKCcsxl3hfBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:39:29.583425Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.11940","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:de76b5ac3877c53fd535195889895b206afa7c3d121bdf8e80ee31ea6a423e1a","sha256:8ce4c8ed9d02c3fd06ff18772c9b37557f7d4ef3147749d63e1a24272ac6811c"],"state_sha256":"2fc42eb9801be72d5af06626d61c6f78e08ac4819f8e366a15d333952092e0f3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FZjvetV55FsRDzm9PnOAwfDcwpO0/R35FGtgKIAXymME6Om3xfXN5uTezYlS99tHkjuOd9kFD0v+boJgw4WQAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-21T20:47:05.074775Z","bundle_sha256":"7ea2e84040876a059c87543ddd5063dfdbcb77d1ae54a1466e4fa991390ccb3a"}}