{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:4ESRSYNCE4J5SMRHGXBPWVHMKG","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":"15c9e064a30890458bbb54189a6115e78f4d4fe1750608c56a0d06e3b1881a3a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-12T20:14:51Z","title_canon_sha256":"aea49048841327c7ff726866cad1213a35b0b793f6bcf2e2e84cd759a3f97bc8"},"schema_version":"1.0","source":{"id":"2606.14935","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.14935","created_at":"2026-06-23T01:13:06Z"},{"alias_kind":"arxiv_version","alias_value":"2606.14935v2","created_at":"2026-06-23T01:13:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.14935","created_at":"2026-06-23T01:13:06Z"},{"alias_kind":"pith_short_12","alias_value":"4ESRSYNCE4J5","created_at":"2026-06-23T01:13:06Z"},{"alias_kind":"pith_short_16","alias_value":"4ESRSYNCE4J5SMRH","created_at":"2026-06-23T01:13:06Z"},{"alias_kind":"pith_short_8","alias_value":"4ESRSYNC","created_at":"2026-06-23T01:13:06Z"}],"graph_snapshots":[{"event_id":"sha256:df0986e69200a06f3bd400ab185a1a4aff86015db33bb172fbb73faa3e6a188d","target":"graph","created_at":"2026-06-23T01:13:06Z","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/2606.14935/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Frontier reasoning-tuned language models still fail on deductive tasks at depth, and the cost of improved performance through extended internal reasoning scales poorly. Symbolic delegation offers a complementary route: a language model translates the problem, while a solver performs the inference. However, current autoformalization pipelines for logic programming are typically bespoke integrations tied to particular tasks or agents. We introduce PrologMCP, a task-agnostic, open-source server that exposes Prolog as a stateful tool through the Model Context Protocol (MCP). Its compact tool inter","authors_text":"Adarsh Prabhakaran, Adrian Haret, Agnieszka Mensfelt, Kostas Stathis, Vince Trencsenyi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-12T20:14:51Z","title":"PrologMCP: A Standardized Prolog Tool Interface for LLM Agents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.14935","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:dc117611fa9575191bb5f2c597989975151dd0d0d86218c5291893fc873ea61e","target":"record","created_at":"2026-06-23T01:13:06Z","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":"15c9e064a30890458bbb54189a6115e78f4d4fe1750608c56a0d06e3b1881a3a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-12T20:14:51Z","title_canon_sha256":"aea49048841327c7ff726866cad1213a35b0b793f6bcf2e2e84cd759a3f97bc8"},"schema_version":"1.0","source":{"id":"2606.14935","kind":"arxiv","version":2}},"canonical_sha256":"e1251961a22713d9322735c2fb54ec51af677385965d6ef178f2ee2d5ae08a30","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e1251961a22713d9322735c2fb54ec51af677385965d6ef178f2ee2d5ae08a30","first_computed_at":"2026-06-23T01:13:06.738881Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-23T01:13:06.738881Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WM0BXUWsPFhR7WTLBPo17BXE7A9hxx7Ocs3DScnaGuJg52Z6oej8a1VcC2ccdHs1D+DsVXPbJhnsmsd40NswBQ==","signature_status":"signed_v1","signed_at":"2026-06-23T01:13:06.739418Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.14935","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dc117611fa9575191bb5f2c597989975151dd0d0d86218c5291893fc873ea61e","sha256:df0986e69200a06f3bd400ab185a1a4aff86015db33bb172fbb73faa3e6a188d"],"state_sha256":"4cb527418415e473bbb240d6a3bca7beac2b664152a9a27d9ee73c05a13b2939"}