{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:DNXQACGNLEIZIZOW2WAGCGCXOC","short_pith_number":"pith:DNXQACGN","canonical_record":{"source":{"id":"2110.11466","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-10-21T20:30:12Z","cross_cats_sorted":["cs.DC"],"title_canon_sha256":"caa887ea87d08617ac1462327e31be1e649e46034de83a1ea6e93628a7b3c88c","abstract_canon_sha256":"c255a636ccc627a512b525b5ab7a6c4be7ff3ab39a4f485c5bea98152656ce74"},"schema_version":"1.0"},"canonical_sha256":"1b6f0008cd59119465d6d580611857708d7e6f72c0042fc89a59906f3d9a2a3b","source":{"kind":"arxiv","id":"2110.11466","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.11466","created_at":"2026-07-05T03:26:21Z"},{"alias_kind":"arxiv_version","alias_value":"2110.11466v2","created_at":"2026-07-05T03:26:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.11466","created_at":"2026-07-05T03:26:21Z"},{"alias_kind":"pith_short_12","alias_value":"DNXQACGNLEIZ","created_at":"2026-07-05T03:26:21Z"},{"alias_kind":"pith_short_16","alias_value":"DNXQACGNLEIZIZOW","created_at":"2026-07-05T03:26:21Z"},{"alias_kind":"pith_short_8","alias_value":"DNXQACGN","created_at":"2026-07-05T03:26:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:DNXQACGNLEIZIZOW2WAGCGCXOC","target":"record","payload":{"canonical_record":{"source":{"id":"2110.11466","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-10-21T20:30:12Z","cross_cats_sorted":["cs.DC"],"title_canon_sha256":"caa887ea87d08617ac1462327e31be1e649e46034de83a1ea6e93628a7b3c88c","abstract_canon_sha256":"c255a636ccc627a512b525b5ab7a6c4be7ff3ab39a4f485c5bea98152656ce74"},"schema_version":"1.0"},"canonical_sha256":"1b6f0008cd59119465d6d580611857708d7e6f72c0042fc89a59906f3d9a2a3b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:26:21.365634Z","signature_b64":"H7VuUHK/bGv90uCjrFQxlYrNUQ7ItuFjK3AeEgT5IyomqvdkXbLdLYaNIZcO9uKgf4pN3EoxSXrEwiKYIyuCAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1b6f0008cd59119465d6d580611857708d7e6f72c0042fc89a59906f3d9a2a3b","last_reissued_at":"2026-07-05T03:26:21.365154Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:26:21.365154Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2110.11466","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":"2026-07-05T03:26:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"axya03JiGJQbDYpG4lLk3zID+qy2kkL/JIiYgfoLdZ1jzTc1nBWjnJyqtNA7BtFzWyoNt9wHz05avdpXKqpECg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T11:45:00.254768Z"},"content_sha256":"aa878e53fb1e91debb5d447465d937b7582cc54a664938319ba9a74a1b485f44","schema_version":"1.0","event_id":"sha256:aa878e53fb1e91debb5d447465d937b7582cc54a664938319ba9a74a1b485f44"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:DNXQACGNLEIZIZOW2WAGCGCXOC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.DC"],"primary_cat":"cs.LG","authors_text":"Akihiko Kasagi, Akihiro Tabuchi, Akiyoshi Kuroda, Aleksandr Drozd, Amit Ruhela, Andreas Fink, Aristeidis Tsaris, Balazs Gerofi, Ben Cumming, David Kanter, Dawei Mu, Geoffrey Fox, Henrique Mendon\\c{c}a, Jacob Balma, Jan Balewski, Jens Domke, Junqi Yin, Kazuki Minami, Kentaro Kawakami, Kento Sato, Koichi Shirahata, Lukas Drescher, Mallikarjun Shankar, Masafumi Yamazaki, Maxime Martinasso, Mohamed Wahib, Murali Emani, Naoto Fukumoto, Peter Mattson, Prabhat Ram, Satoshi Matsuoka, Shuhei Kudo, Steven Farrell, Takaaki Fukai, Takashi Sawada, Takumi Danjo, Takumi Honda, Tatsuya Fukushi, Thorsten Kurth, Tom St. John, Toshiyuki Imamura, Tsuguchika Tabaru, Venkatram Vishwanath","submitted_at":"2021-10-21T20:30:12Z","abstract_excerpt":"Scientific communities are increasingly adopting machine learning and deep learning models in their applications to accelerate scientific insights. High performance computing systems are pushing the frontiers of performance with a rich diversity of hardware resources and massive scale-out capabilities. There is a critical need to understand fair and effective benchmarking of machine learning applications that are representative of real-world scientific use cases. MLPerf is a community-driven standard to benchmark machine learning workloads, focusing on end-to-end performance metrics. In this p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.11466","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/2110.11466/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":"2026-07-05T03:26:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fvj9R7BSnT6YRD5cYT82b0LHKpf+wbH09bysjmdh3zyTkhDf+BEyZsvtZFRJdHmy/n7WUx9Wu/sA3ZbvTQvHCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T11:45:00.255141Z"},"content_sha256":"4b638f36229a80af7290e565f77700883ee258195158783b723784ffe81702a0","schema_version":"1.0","event_id":"sha256:4b638f36229a80af7290e565f77700883ee258195158783b723784ffe81702a0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DNXQACGNLEIZIZOW2WAGCGCXOC/bundle.json","state_url":"https://pith.science/pith/DNXQACGNLEIZIZOW2WAGCGCXOC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DNXQACGNLEIZIZOW2WAGCGCXOC/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":"2026-07-06T11:45:00Z","links":{"resolver":"https://pith.science/pith/DNXQACGNLEIZIZOW2WAGCGCXOC","bundle":"https://pith.science/pith/DNXQACGNLEIZIZOW2WAGCGCXOC/bundle.json","state":"https://pith.science/pith/DNXQACGNLEIZIZOW2WAGCGCXOC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DNXQACGNLEIZIZOW2WAGCGCXOC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:DNXQACGNLEIZIZOW2WAGCGCXOC","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":"c255a636ccc627a512b525b5ab7a6c4be7ff3ab39a4f485c5bea98152656ce74","cross_cats_sorted":["cs.DC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-10-21T20:30:12Z","title_canon_sha256":"caa887ea87d08617ac1462327e31be1e649e46034de83a1ea6e93628a7b3c88c"},"schema_version":"1.0","source":{"id":"2110.11466","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.11466","created_at":"2026-07-05T03:26:21Z"},{"alias_kind":"arxiv_version","alias_value":"2110.11466v2","created_at":"2026-07-05T03:26:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.11466","created_at":"2026-07-05T03:26:21Z"},{"alias_kind":"pith_short_12","alias_value":"DNXQACGNLEIZ","created_at":"2026-07-05T03:26:21Z"},{"alias_kind":"pith_short_16","alias_value":"DNXQACGNLEIZIZOW","created_at":"2026-07-05T03:26:21Z"},{"alias_kind":"pith_short_8","alias_value":"DNXQACGN","created_at":"2026-07-05T03:26:21Z"}],"graph_snapshots":[{"event_id":"sha256:4b638f36229a80af7290e565f77700883ee258195158783b723784ffe81702a0","target":"graph","created_at":"2026-07-05T03:26:21Z","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/2110.11466/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Scientific communities are increasingly adopting machine learning and deep learning models in their applications to accelerate scientific insights. High performance computing systems are pushing the frontiers of performance with a rich diversity of hardware resources and massive scale-out capabilities. There is a critical need to understand fair and effective benchmarking of machine learning applications that are representative of real-world scientific use cases. MLPerf is a community-driven standard to benchmark machine learning workloads, focusing on end-to-end performance metrics. In this p","authors_text":"Akihiko Kasagi, Akihiro Tabuchi, Akiyoshi Kuroda, Aleksandr Drozd, Amit Ruhela, Andreas Fink, Aristeidis Tsaris, Balazs Gerofi, Ben Cumming, David Kanter, Dawei Mu, Geoffrey Fox, Henrique Mendon\\c{c}a, Jacob Balma, Jan Balewski, Jens Domke, Junqi Yin, Kazuki Minami, Kentaro Kawakami, Kento Sato, Koichi Shirahata, Lukas Drescher, Mallikarjun Shankar, Masafumi Yamazaki, Maxime Martinasso, Mohamed Wahib, Murali Emani, Naoto Fukumoto, Peter Mattson, Prabhat Ram, Satoshi Matsuoka, Shuhei Kudo, Steven Farrell, Takaaki Fukai, Takashi Sawada, Takumi Danjo, Takumi Honda, Tatsuya Fukushi, Thorsten Kurth, Tom St. John, Toshiyuki Imamura, Tsuguchika Tabaru, Venkatram Vishwanath","cross_cats":["cs.DC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-10-21T20:30:12Z","title":"MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.11466","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:aa878e53fb1e91debb5d447465d937b7582cc54a664938319ba9a74a1b485f44","target":"record","created_at":"2026-07-05T03:26:21Z","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":"c255a636ccc627a512b525b5ab7a6c4be7ff3ab39a4f485c5bea98152656ce74","cross_cats_sorted":["cs.DC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-10-21T20:30:12Z","title_canon_sha256":"caa887ea87d08617ac1462327e31be1e649e46034de83a1ea6e93628a7b3c88c"},"schema_version":"1.0","source":{"id":"2110.11466","kind":"arxiv","version":2}},"canonical_sha256":"1b6f0008cd59119465d6d580611857708d7e6f72c0042fc89a59906f3d9a2a3b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1b6f0008cd59119465d6d580611857708d7e6f72c0042fc89a59906f3d9a2a3b","first_computed_at":"2026-07-05T03:26:21.365154Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:26:21.365154Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"H7VuUHK/bGv90uCjrFQxlYrNUQ7ItuFjK3AeEgT5IyomqvdkXbLdLYaNIZcO9uKgf4pN3EoxSXrEwiKYIyuCAg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:26:21.365634Z","signed_message":"canonical_sha256_bytes"},"source_id":"2110.11466","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aa878e53fb1e91debb5d447465d937b7582cc54a664938319ba9a74a1b485f44","sha256:4b638f36229a80af7290e565f77700883ee258195158783b723784ffe81702a0"],"state_sha256":"70a2dca50d6f13fff6caab90c9d23ac9691686e37e25bf73b4940879a5b67880"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aZlwxcuJDJV+gzwUfq+gYr0semQyDzts5KXFx304rrXg6311J/0pfyJ41LL2EZuY66882PwOdrQ33MQpFxqdBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T11:45:00.257156Z","bundle_sha256":"d6b04e3a746e47027c46e488388e31ec961bd12c8a98085d97c2081705692a24"}}