{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:AVR4MITVGYRLEY3ZUBLYWHNXK3","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":"bad789dc38c8ff55a3390b0ef838b4e07fcdd92d7bb66f6790cc74ebecc0dc4e","cross_cats_sorted":["cs.PL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2020-09-30T01:38:18Z","title_canon_sha256":"7ee988ea41f9e4be207d30c759c85582abfad129e47e36b73769f6710ec5c60b"},"schema_version":"1.0","source":{"id":"2009.14381","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.14381","created_at":"2026-07-05T03:09:57Z"},{"alias_kind":"arxiv_version","alias_value":"2009.14381v2","created_at":"2026-07-05T03:09:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.14381","created_at":"2026-07-05T03:09:57Z"},{"alias_kind":"pith_short_12","alias_value":"AVR4MITVGYRL","created_at":"2026-07-05T03:09:57Z"},{"alias_kind":"pith_short_16","alias_value":"AVR4MITVGYRLEY3Z","created_at":"2026-07-05T03:09:57Z"},{"alias_kind":"pith_short_8","alias_value":"AVR4MITV","created_at":"2026-07-05T03:09:57Z"}],"graph_snapshots":[{"event_id":"sha256:3b8b4938bb97b1dca36be8367c76904d4acbdc04ca979b350a52611d30b0e448","target":"graph","created_at":"2026-07-05T03:09:57Z","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/2009.14381/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Adopting FPGA as an accelerator in datacenters is becoming mainstream for customized computing, but the fact that FPGAs are hard to program creates a steep learning curve for software programmers. Even with the help of high-level synthesis (HLS), accelerator designers still have to manually perform code reconstruction and cumbersome parameter tuning to achieve the optimal performance. While many learning models have been leveraged by existing work to automate the design of efficient accelerators, the unpredictability of modern HLS tools becomes a major obstacle for them to maintain high accura","authors_text":"Atefeh Sohrabizadeh, Cody Hao Yu, Jason Cong, Min Gao","cross_cats":["cs.PL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2020-09-30T01:38:18Z","title":"AutoDSE: Enabling Software Programmers to Design Efficient FPGA Accelerators"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.14381","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:c90c85cb79571db0dc78b8169e39b3469a411bcb34277b70b3fc0bdd1b08d10c","target":"record","created_at":"2026-07-05T03:09:57Z","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":"bad789dc38c8ff55a3390b0ef838b4e07fcdd92d7bb66f6790cc74ebecc0dc4e","cross_cats_sorted":["cs.PL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2020-09-30T01:38:18Z","title_canon_sha256":"7ee988ea41f9e4be207d30c759c85582abfad129e47e36b73769f6710ec5c60b"},"schema_version":"1.0","source":{"id":"2009.14381","kind":"arxiv","version":2}},"canonical_sha256":"0563c622753622b26379a0578b1db756d6dde71c80c2b2003c707f0450540731","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0563c622753622b26379a0578b1db756d6dde71c80c2b2003c707f0450540731","first_computed_at":"2026-07-05T03:09:57.907259Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:09:57.907259Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"R4rE8h4HBFYnX+E83EuqQUjMxD2i7wsO1vwp1eySHjiYzy9tcHQRWv0lQcv2gfq1RN6/c9dTz0QWnqtqmBdMBA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:09:57.907632Z","signed_message":"canonical_sha256_bytes"},"source_id":"2009.14381","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c90c85cb79571db0dc78b8169e39b3469a411bcb34277b70b3fc0bdd1b08d10c","sha256:3b8b4938bb97b1dca36be8367c76904d4acbdc04ca979b350a52611d30b0e448"],"state_sha256":"c6bfc9b2eecaf4b1e12c4e229d4a29b5fb70e223fc49ff88115fbd0b1f8c0605"}