{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:CYCPTHYSOKZUZTSPIEADJGS6RH","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":"a67bf70eb6e216149cd6da6ddb29d93e56f1e09a5f96f35220a92b4354939b5d","cross_cats_sorted":["cs.AR","cs.SI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-08-25T17:04:35Z","title_canon_sha256":"0f7bef75e30857e26aaceb4e4a47578f77e181fc235f5b7dae5dec8505f7080c"},"schema_version":"1.0","source":{"id":"2308.13490","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.13490","created_at":"2026-07-05T07:20:53Z"},{"alias_kind":"arxiv_version","alias_value":"2308.13490v3","created_at":"2026-07-05T07:20:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.13490","created_at":"2026-07-05T07:20:53Z"},{"alias_kind":"pith_short_12","alias_value":"CYCPTHYSOKZU","created_at":"2026-07-05T07:20:53Z"},{"alias_kind":"pith_short_16","alias_value":"CYCPTHYSOKZUZTSP","created_at":"2026-07-05T07:20:53Z"},{"alias_kind":"pith_short_8","alias_value":"CYCPTHYS","created_at":"2026-07-05T07:20:53Z"}],"graph_snapshots":[{"event_id":"sha256:7561105230eb40175d682483b6a1055ceaa800cbe38a4dc71b79bb24ee06c6d9","target":"graph","created_at":"2026-07-05T07:20:53Z","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/2308.13490/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Precise hardware performance models play a crucial role in code optimizations. They can assist compilers in making heuristic decisions or aid autotuners in identifying the optimal configuration for a given program. For example, the autotuner for XLA, a machine learning compiler, discovered 10-20% speedup on state-of-the-art models serving substantial production traffic at Google. Although there exist a few datasets for program performance prediction, they target small sub-programs such as basic blocks or kernels. This paper introduces TpuGraphs, a performance prediction dataset on full tensor ","authors_text":"Bahare Fatemi, Bryan Perozzi, Charith Mendis, Kaidi Cao, Mike Burrows, Phitchaya Mangpo Phothilimthana, Sami Abu-el-haija","cross_cats":["cs.AR","cs.SI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-08-25T17:04:35Z","title":"TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.13490","kind":"arxiv","version":3},"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:b78936942e478eb2bb65e00301c4dc9a57680509300545e3488724428d897d01","target":"record","created_at":"2026-07-05T07:20:53Z","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":"a67bf70eb6e216149cd6da6ddb29d93e56f1e09a5f96f35220a92b4354939b5d","cross_cats_sorted":["cs.AR","cs.SI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-08-25T17:04:35Z","title_canon_sha256":"0f7bef75e30857e26aaceb4e4a47578f77e181fc235f5b7dae5dec8505f7080c"},"schema_version":"1.0","source":{"id":"2308.13490","kind":"arxiv","version":3}},"canonical_sha256":"1604f99f1272b34cce4f4100349a5e89d4c08971c29dbe5ff9a235a19f63d587","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1604f99f1272b34cce4f4100349a5e89d4c08971c29dbe5ff9a235a19f63d587","first_computed_at":"2026-07-05T07:20:53.430075Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:20:53.430075Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kAw2Kzee4Bm7QUmRMmd8q/5WOjnSXIUBUcDTQ3HcgsQp/GLxCgEYImOwPdOXtL5SYple4SB0oOABDwVHu7GvBw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:20:53.430523Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.13490","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b78936942e478eb2bb65e00301c4dc9a57680509300545e3488724428d897d01","sha256:7561105230eb40175d682483b6a1055ceaa800cbe38a4dc71b79bb24ee06c6d9"],"state_sha256":"d3280c99f6634724928fb425134d7138f4a642075b4f00d68e3f9c5a812f069e"}