{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:JGACLK333XL6WCUGOO2RJCGR4D","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":"b2f53cfc1b9100218235b851f9f86aac57c2a884a607b4bb8a4f6cb28703ab09","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PL","submitted_at":"2022-10-23T10:45:54Z","title_canon_sha256":"c559084c7e03582162842613913f7e2f0895f7d2e08b68028ecf9d280f46108a"},"schema_version":"1.0","source":{"id":"2210.15016","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.15016","created_at":"2026-07-05T05:40:09Z"},{"alias_kind":"arxiv_version","alias_value":"2210.15016v2","created_at":"2026-07-05T05:40:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.15016","created_at":"2026-07-05T05:40:09Z"},{"alias_kind":"pith_short_12","alias_value":"JGACLK333XL6","created_at":"2026-07-05T05:40:09Z"},{"alias_kind":"pith_short_16","alias_value":"JGACLK333XL6WCUG","created_at":"2026-07-05T05:40:09Z"},{"alias_kind":"pith_short_8","alias_value":"JGACLK33","created_at":"2026-07-05T05:40:09Z"}],"graph_snapshots":[{"event_id":"sha256:d92ae500819a74520ce76e2d4e2bd2c1c517939bcbc8041f4c29c3123029466b","target":"graph","created_at":"2026-07-05T05:40:09Z","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/2210.15016/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multi-level intermediate representations (MLIR) show great promise for reducing the cost of building domain-specific compilers by providing a reusable and extensible compiler infrastructure. This work presents TPU-MLIR, an end-to-end compiler based on MLIR that deploys pre-trained neural network (NN) models to a custom ASIC called a Tensor Processing Unit (TPU). TPU-MLIR defines two new dialects to implement its functionality: 1. a Tensor operation (TOP) dialect that encodes the deep learning graph semantics and independent of the deep learning framework and 2. a TPU kernel dialect to provide ","authors_text":"Guoyue Jiang, Lei Wang, Man Lu, Pengchao Hu","cross_cats":["cs.CL","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PL","submitted_at":"2022-10-23T10:45:54Z","title":"TPU-MLIR: A Compiler For TPU Using MLIR"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.15016","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":"sha256:9d4c4d541432b16fae42009f6a87242a358e9ffcb199f6cc9ac202400a83077b","target":"record","created_at":"2026-07-05T05:40:09Z","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":"b2f53cfc1b9100218235b851f9f86aac57c2a884a607b4bb8a4f6cb28703ab09","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PL","submitted_at":"2022-10-23T10:45:54Z","title_canon_sha256":"c559084c7e03582162842613913f7e2f0895f7d2e08b68028ecf9d280f46108a"},"schema_version":"1.0","source":{"id":"2210.15016","kind":"arxiv","version":2}},"canonical_sha256":"498025ab7bddd7eb0a8673b51488d1e0eb0a2daf2191be1771cb6d3c2dd2975b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"498025ab7bddd7eb0a8673b51488d1e0eb0a2daf2191be1771cb6d3c2dd2975b","first_computed_at":"2026-07-05T05:40:09.499010Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:40:09.499010Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"H7qFfW9ehk87jHmghEsAg8I2+VPcZ3bD/VVabPfCdWMV+fzXDYKuBrE9CbGt5osePbBfCK2E8C/d5DrSekSYCg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:40:09.499431Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.15016","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9d4c4d541432b16fae42009f6a87242a358e9ffcb199f6cc9ac202400a83077b","sha256:d92ae500819a74520ce76e2d4e2bd2c1c517939bcbc8041f4c29c3123029466b"],"state_sha256":"7076878c89f1a845e7659b133ad1d1dbc5dfbd87e86ed578423368fbab389005"}