{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:3WXEWPR4HGCVCSWHIUIFHPK5R3","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":"301e87426873721e782a2cc6d55d55a54b1b53a4f3ddc3f8f9a322f93cc248bd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2020-04-22T11:27:47Z","title_canon_sha256":"452b30524f7c17b55fdcf9bdde4ab4a1fc6048570d8b2ac146e85ac26b83afb6"},"schema_version":"1.0","source":{"id":"2004.10502","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2004.10502","created_at":"2026-07-05T02:02:03Z"},{"alias_kind":"arxiv_version","alias_value":"2004.10502v1","created_at":"2026-07-05T02:02:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.10502","created_at":"2026-07-05T02:02:03Z"},{"alias_kind":"pith_short_12","alias_value":"3WXEWPR4HGCV","created_at":"2026-07-05T02:02:03Z"},{"alias_kind":"pith_short_16","alias_value":"3WXEWPR4HGCVCSWH","created_at":"2026-07-05T02:02:03Z"},{"alias_kind":"pith_short_8","alias_value":"3WXEWPR4","created_at":"2026-07-05T02:02:03Z"}],"graph_snapshots":[{"event_id":"sha256:6c05d60310d0e5334572d818eabe42347f9e13ae6d83ba5e5b666fd35a303733","target":"graph","created_at":"2026-07-05T02:02:03Z","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/2004.10502/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"There has been abundant research on the development of Approximate Circuits (ACs) for ASICs. However, previous studies have illustrated that ASIC-based ACs offer asymmetrical gains in FPGA-based accelerators. Therefore, an AC that might be pareto-optimal for ASICs might not be pareto-optimal for FPGAs. In this work, we present the ApproxFPGAs methodology that uses machine learning models to reduce the exploration time for analyzing the state-of-the-art ASIC-based ACs to determine the set of pareto-optimal FPGA-based ACs. We also perform a case-study to illustrate the benefits obtained by deplo","authors_text":"Bharath Srinivas Prabakaran, Lukas Sekanina, Muhammad Shafique, Vojtech Mrazek, Zdenek Vasicek","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2020-04-22T11:27:47Z","title":"ApproxFPGAs: Embracing ASIC-Based Approximate Arithmetic Components for FPGA-Based Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.10502","kind":"arxiv","version":1},"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":"sha256:2667ed203e896d62db2e5905abc9cda3231fc2f3342cd97a744efc0b27debfcb","target":"record","created_at":"2026-07-05T02:02:03Z","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":"301e87426873721e782a2cc6d55d55a54b1b53a4f3ddc3f8f9a322f93cc248bd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2020-04-22T11:27:47Z","title_canon_sha256":"452b30524f7c17b55fdcf9bdde4ab4a1fc6048570d8b2ac146e85ac26b83afb6"},"schema_version":"1.0","source":{"id":"2004.10502","kind":"arxiv","version":1}},"canonical_sha256":"ddae4b3e3c3985514ac7451053bd5d8ed0c2fdfbf3616002ec14c462e2c922c5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ddae4b3e3c3985514ac7451053bd5d8ed0c2fdfbf3616002ec14c462e2c922c5","first_computed_at":"2026-07-05T02:02:03.030159Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:02:03.030159Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vrwaPYhlRmpNbOrkXazsZrHFzhsz5H0ECurOUokRcqYkTTxhvjRpmlU9PdcrYHYsvriTf8aNCaBNQoS++ft2BA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:02:03.030622Z","signed_message":"canonical_sha256_bytes"},"source_id":"2004.10502","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2667ed203e896d62db2e5905abc9cda3231fc2f3342cd97a744efc0b27debfcb","sha256:6c05d60310d0e5334572d818eabe42347f9e13ae6d83ba5e5b666fd35a303733"],"state_sha256":"8d6171d81fca81274ae7a2b4fc053dfdea549b37657f43b8d6c7cc464da451fa"}