{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:64RLJO4CPCPS75JASMEDJIQBK4","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":"b42b9224ac8ee515c7c97085c396eb1eca48d82a4e9f3154b114806142f3f079","cross_cats_sorted":["cs.FL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PL","submitted_at":"2022-07-24T03:34:21Z","title_canon_sha256":"906146e66ec5f81df3b6be41a0fae5fc80599db3dd720d2c756f046d01ffb82c"},"schema_version":"1.0","source":{"id":"2207.11649","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.11649","created_at":"2026-07-05T04:43:21Z"},{"alias_kind":"arxiv_version","alias_value":"2207.11649v2","created_at":"2026-07-05T04:43:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.11649","created_at":"2026-07-05T04:43:21Z"},{"alias_kind":"pith_short_12","alias_value":"64RLJO4CPCPS","created_at":"2026-07-05T04:43:21Z"},{"alias_kind":"pith_short_16","alias_value":"64RLJO4CPCPS75JA","created_at":"2026-07-05T04:43:21Z"},{"alias_kind":"pith_short_8","alias_value":"64RLJO4C","created_at":"2026-07-05T04:43:21Z"}],"graph_snapshots":[{"event_id":"sha256:1d031935a8eef51c5c57a98dec3e7407dc089b7536dc80c578615d5eda0ae79e","target":"graph","created_at":"2026-07-05T04:43:21Z","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/2207.11649/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Model Checking is widely applied in verifying the correctness of complex and concurrent systems against a specification. Pure symbolic approaches while popular, still suffer from the state space explosion problem that makes them impractical for large scale systems and/or specifications. In this paper, we propose to use graph representation learning (GRL) for solving linear temporal logic (LTL) model checking, where the system and the specification are expressed by a B\\\"uchi automaton and an LTL formula respectively. A novel GRL-based framework OCTAL, is designed to learn the representation of ","authors_text":"Haoteng Yin, Prasita Mukherjee, Susheel Suresh, Tiark Rompf","cross_cats":["cs.FL","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PL","submitted_at":"2022-07-24T03:34:21Z","title":"OCTAL: Graph Representation Learning for LTL Model Checking"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.11649","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:e98ec3bfaffde180d7f85a8727a7e1e789361396f33726f9c436c3339a49c495","target":"record","created_at":"2026-07-05T04:43:21Z","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":"b42b9224ac8ee515c7c97085c396eb1eca48d82a4e9f3154b114806142f3f079","cross_cats_sorted":["cs.FL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PL","submitted_at":"2022-07-24T03:34:21Z","title_canon_sha256":"906146e66ec5f81df3b6be41a0fae5fc80599db3dd720d2c756f046d01ffb82c"},"schema_version":"1.0","source":{"id":"2207.11649","kind":"arxiv","version":2}},"canonical_sha256":"f722b4bb82789f2ff520930834a2015715a43b54ad38a1882877e6adff3973b0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f722b4bb82789f2ff520930834a2015715a43b54ad38a1882877e6adff3973b0","first_computed_at":"2026-07-05T04:43:21.489750Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:43:21.489750Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1zidAE09RP82/tRVd93ozgkqrOIXqIQruN1UaSjcXJdg4W8Yofl+J9LQJEOPVgDESUsHKVmJillMdvbrZiIyCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:43:21.490144Z","signed_message":"canonical_sha256_bytes"},"source_id":"2207.11649","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e98ec3bfaffde180d7f85a8727a7e1e789361396f33726f9c436c3339a49c495","sha256:1d031935a8eef51c5c57a98dec3e7407dc089b7536dc80c578615d5eda0ae79e"],"state_sha256":"5f9050f8121c41e953f135f17256d74bf858895a5809916823f325566478522f"}