{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:CS47LTS6JVRZUA7QE56GDEGA5G","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":"a5bc53a1ad28557adf4c453e39a0931c4a2c5ac3f6617f544501660f3be2f504","cross_cats_sorted":["cs.LO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-06-23T17:59:04Z","title_canon_sha256":"ce3ce94cc4c88ee3fe898743a5862ff75ca93384030abf6f7caf52884914acc3"},"schema_version":"1.0","source":{"id":"2106.12574","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.12574","created_at":"2026-07-05T02:51:56Z"},{"alias_kind":"arxiv_version","alias_value":"2106.12574v1","created_at":"2026-07-05T02:51:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.12574","created_at":"2026-07-05T02:51:56Z"},{"alias_kind":"pith_short_12","alias_value":"CS47LTS6JVRZ","created_at":"2026-07-05T02:51:56Z"},{"alias_kind":"pith_short_16","alias_value":"CS47LTS6JVRZUA7Q","created_at":"2026-07-05T02:51:56Z"},{"alias_kind":"pith_short_8","alias_value":"CS47LTS6","created_at":"2026-07-05T02:51:56Z"}],"graph_snapshots":[{"event_id":"sha256:660d686cbd46a06aefb1152ee57eaa63cc075e2f38d6b6c42c13b1abc02ac8d4","target":"graph","created_at":"2026-07-05T02:51:56Z","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/2106.12574/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in neural symbolic learning, such as DeepProbLog, extend probabilistic logic programs with neural predicates. Like graphical models, these probabilistic logic programs define a probability distribution over possible worlds, for which inference is computationally hard. We propose DeepStochLog, an alternative neural symbolic framework based on stochastic definite clause grammars, a type of stochastic logic program, which defines a probability distribution over possible derivations. More specifically, we introduce neural grammar rules into stochastic definite clause grammars to cr","authors_text":"Giuseppe Marra, Luc De Raedt, Robin Manhaeve, Thomas Winters","cross_cats":["cs.LO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-06-23T17:59:04Z","title":"DeepStochLog: Neural Stochastic Logic Programming"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.12574","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:ecfe68668eb136606c91f1f067f5c7d781485764220da2ec4453def132f48dae","target":"record","created_at":"2026-07-05T02:51:56Z","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":"a5bc53a1ad28557adf4c453e39a0931c4a2c5ac3f6617f544501660f3be2f504","cross_cats_sorted":["cs.LO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-06-23T17:59:04Z","title_canon_sha256":"ce3ce94cc4c88ee3fe898743a5862ff75ca93384030abf6f7caf52884914acc3"},"schema_version":"1.0","source":{"id":"2106.12574","kind":"arxiv","version":1}},"canonical_sha256":"14b9f5ce5e4d639a03f0277c6190c0e9a83849e7b53d1e0a55ad116ce917f551","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"14b9f5ce5e4d639a03f0277c6190c0e9a83849e7b53d1e0a55ad116ce917f551","first_computed_at":"2026-07-05T02:51:56.786557Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:51:56.786557Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TwVg7V//Px1HV26o4FFZ0q4xp4ij6iWepaaeSNfJz+ZzyA+yOUtNrSQylS/kQ2/K7CB44SASuSGCyl1l503bDA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:51:56.786898Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.12574","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ecfe68668eb136606c91f1f067f5c7d781485764220da2ec4453def132f48dae","sha256:660d686cbd46a06aefb1152ee57eaa63cc075e2f38d6b6c42c13b1abc02ac8d4"],"state_sha256":"e2a1b8c31a58ec0a3b210b1a063cba9b3ee77d3c91f5af79723f7b8d06eb8904"}