{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:ZA7QPNLWU3DAR4JZ5BLHS3ISLL","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":"81a87188af02ec7633af1be08e94f3a000465a72ce1a1724f27787876a2c3c5b","cross_cats_sorted":["cs.LO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-07-25T18:17:33Z","title_canon_sha256":"fc2f4d558442065bc753e19354833e1462c1cc1a19a0c8ad89c06e139b30b9fa"},"schema_version":"1.0","source":{"id":"2107.11864","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.11864","created_at":"2026-07-05T03:00:38Z"},{"alias_kind":"arxiv_version","alias_value":"2107.11864v1","created_at":"2026-07-05T03:00:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.11864","created_at":"2026-07-05T03:00:38Z"},{"alias_kind":"pith_short_12","alias_value":"ZA7QPNLWU3DA","created_at":"2026-07-05T03:00:38Z"},{"alias_kind":"pith_short_16","alias_value":"ZA7QPNLWU3DAR4JZ","created_at":"2026-07-05T03:00:38Z"},{"alias_kind":"pith_short_8","alias_value":"ZA7QPNLW","created_at":"2026-07-05T03:00:38Z"}],"graph_snapshots":[{"event_id":"sha256:630c81bc10f731de6c92f8404f7442366d03a79595420c1da5aaaf6ff9deb35a","target":"graph","created_at":"2026-07-05T03:00:38Z","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/2107.11864/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We train hierarchical Transformers on the task of synthesizing hardware circuits directly out of high-level logical specifications in linear-time temporal logic (LTL). The LTL synthesis problem is a well-known algorithmic challenge with a long history and an annual competition is organized to track the improvement of algorithms and tooling over time. New approaches using machine learning might open a lot of possibilities in this area, but suffer from the lack of sufficient amounts of training data. In this paper, we consider a method to generate large amounts of additional training data, i.e.,","authors_text":"Bernd Finkbeiner, Christopher Hahn, Frederik Schmitt, Markus N. Rabe","cross_cats":["cs.LO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-07-25T18:17:33Z","title":"Neural Circuit Synthesis from Specification Patterns"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.11864","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:e7bd50c7ba61eeef0cee919f8716f19cddfcb37e84d0febcf3a8d0d987ee3ac8","target":"record","created_at":"2026-07-05T03:00:38Z","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":"81a87188af02ec7633af1be08e94f3a000465a72ce1a1724f27787876a2c3c5b","cross_cats_sorted":["cs.LO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-07-25T18:17:33Z","title_canon_sha256":"fc2f4d558442065bc753e19354833e1462c1cc1a19a0c8ad89c06e139b30b9fa"},"schema_version":"1.0","source":{"id":"2107.11864","kind":"arxiv","version":1}},"canonical_sha256":"c83f07b576a6c608f139e856796d125aeff842fae68a97158b149ec971a76e8f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c83f07b576a6c608f139e856796d125aeff842fae68a97158b149ec971a76e8f","first_computed_at":"2026-07-05T03:00:38.242276Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:00:38.242276Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0DPnf4Cd+dcvaDt8phiYlaVRsp5MUJ8ClLuysQ1dr+2a8p+xQ0/WvihtwnYzLXYUdNbYCgkg1wwP42Ry693uBg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:00:38.242698Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.11864","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e7bd50c7ba61eeef0cee919f8716f19cddfcb37e84d0febcf3a8d0d987ee3ac8","sha256:630c81bc10f731de6c92f8404f7442366d03a79595420c1da5aaaf6ff9deb35a"],"state_sha256":"aea11c5c77c8faf58e52baf474a5fb8fd5357a5195f4dc5e582dddd3377e3a95"}