{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:TXI7ZISTGU4R225TM6FDU2HBK3","short_pith_number":"pith:TXI7ZIST","canonical_record":{"source":{"id":"1608.04688","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PL","submitted_at":"2016-08-16T17:51:07Z","cross_cats_sorted":["cs.LO"],"title_canon_sha256":"ac7890cac7588f8f208dd8bbe9a336cef1596abf569f35bbd0f916b94b7282f4","abstract_canon_sha256":"79d52686002529cabdf87120487033428be90cc87afa8aea1aff4d45f447385e"},"schema_version":"1.0"},"canonical_sha256":"9dd1fca25335391d6bb3678a3a68e156e8cc6fc9d3a2f0cf01621c0d80299988","source":{"kind":"arxiv","id":"1608.04688","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.04688","created_at":"2026-05-18T01:08:36Z"},{"alias_kind":"arxiv_version","alias_value":"1608.04688v1","created_at":"2026-05-18T01:08:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.04688","created_at":"2026-05-18T01:08:36Z"},{"alias_kind":"pith_short_12","alias_value":"TXI7ZISTGU4R","created_at":"2026-05-18T12:30:46Z"},{"alias_kind":"pith_short_16","alias_value":"TXI7ZISTGU4R225T","created_at":"2026-05-18T12:30:46Z"},{"alias_kind":"pith_short_8","alias_value":"TXI7ZIST","created_at":"2026-05-18T12:30:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:TXI7ZISTGU4R225TM6FDU2HBK3","target":"record","payload":{"canonical_record":{"source":{"id":"1608.04688","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PL","submitted_at":"2016-08-16T17:51:07Z","cross_cats_sorted":["cs.LO"],"title_canon_sha256":"ac7890cac7588f8f208dd8bbe9a336cef1596abf569f35bbd0f916b94b7282f4","abstract_canon_sha256":"79d52686002529cabdf87120487033428be90cc87afa8aea1aff4d45f447385e"},"schema_version":"1.0"},"canonical_sha256":"9dd1fca25335391d6bb3678a3a68e156e8cc6fc9d3a2f0cf01621c0d80299988","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:08:36.536909Z","signature_b64":"/GvEVF0DBnDdV41i3AjqvY3dq9e1DMDGbpyDzTuNCC3ytX52+QeRIh8n8VPWD5xYWePkTJw5ERIzvXkEI7h8BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9dd1fca25335391d6bb3678a3a68e156e8cc6fc9d3a2f0cf01621c0d80299988","last_reissued_at":"2026-05-18T01:08:36.536191Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:08:36.536191Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1608.04688","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:08:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yPul4V6Twqx/ZFv0lWGi2FwJ7jhNSxKYzyXr/tagfYXRY/AUmvOupgNRSZG+tBMhZ5E+3+ce1Wp+g05kSQiEAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T13:04:09.526010Z"},"content_sha256":"b79787652ad3c4eead45d3ca58b0ef3c6df265a696ff274e917f6c9070229234","schema_version":"1.0","event_id":"sha256:b79787652ad3c4eead45d3ca58b0ef3c6df265a696ff274e917f6c9070229234"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:TXI7ZISTGU4R225TM6FDU2HBK3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Tuning Fuzzy Logic Programs with Symbolic Execution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LO"],"primary_cat":"cs.PL","authors_text":"Germ\\'an Vidal, Gin\\'es Moreno, Jaime Penabad","submitted_at":"2016-08-16T17:51:07Z","abstract_excerpt":"Fuzzy logic programming is a growing declarative paradigm aiming to integrate fuzzy logic into logic programming. One of the most difficult tasks when specifying a fuzzy logic program is determining the right weights for each rule, as well as the most appropriate fuzzy connectives and operators. In this paper, we introduce a symbolic extension of fuzzy logic programs in which some of these parameters can be left unknown, so that the user can easily see the impact of their possible values. Furthermore, given a number of test cases, the most appropriate values for these parameters can be automat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.04688","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:08:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JUR1FWL01IW9jSUsDtZXBwkc7OJXL4ZlZ8FZCYXEOVAruJmbzY2oDduJxgLKWZIgi6HHnF7VApxEOorePcXMBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T13:04:09.526666Z"},"content_sha256":"39e93b6262ca010db16eabc428773d1e349542d994f4a02d049c6eaa865114c1","schema_version":"1.0","event_id":"sha256:39e93b6262ca010db16eabc428773d1e349542d994f4a02d049c6eaa865114c1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TXI7ZISTGU4R225TM6FDU2HBK3/bundle.json","state_url":"https://pith.science/pith/TXI7ZISTGU4R225TM6FDU2HBK3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TXI7ZISTGU4R225TM6FDU2HBK3/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-27T13:04:09Z","links":{"resolver":"https://pith.science/pith/TXI7ZISTGU4R225TM6FDU2HBK3","bundle":"https://pith.science/pith/TXI7ZISTGU4R225TM6FDU2HBK3/bundle.json","state":"https://pith.science/pith/TXI7ZISTGU4R225TM6FDU2HBK3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TXI7ZISTGU4R225TM6FDU2HBK3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:TXI7ZISTGU4R225TM6FDU2HBK3","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":"79d52686002529cabdf87120487033428be90cc87afa8aea1aff4d45f447385e","cross_cats_sorted":["cs.LO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PL","submitted_at":"2016-08-16T17:51:07Z","title_canon_sha256":"ac7890cac7588f8f208dd8bbe9a336cef1596abf569f35bbd0f916b94b7282f4"},"schema_version":"1.0","source":{"id":"1608.04688","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.04688","created_at":"2026-05-18T01:08:36Z"},{"alias_kind":"arxiv_version","alias_value":"1608.04688v1","created_at":"2026-05-18T01:08:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.04688","created_at":"2026-05-18T01:08:36Z"},{"alias_kind":"pith_short_12","alias_value":"TXI7ZISTGU4R","created_at":"2026-05-18T12:30:46Z"},{"alias_kind":"pith_short_16","alias_value":"TXI7ZISTGU4R225T","created_at":"2026-05-18T12:30:46Z"},{"alias_kind":"pith_short_8","alias_value":"TXI7ZIST","created_at":"2026-05-18T12:30:46Z"}],"graph_snapshots":[{"event_id":"sha256:39e93b6262ca010db16eabc428773d1e349542d994f4a02d049c6eaa865114c1","target":"graph","created_at":"2026-05-18T01:08:36Z","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"},"paper":{"abstract_excerpt":"Fuzzy logic programming is a growing declarative paradigm aiming to integrate fuzzy logic into logic programming. One of the most difficult tasks when specifying a fuzzy logic program is determining the right weights for each rule, as well as the most appropriate fuzzy connectives and operators. In this paper, we introduce a symbolic extension of fuzzy logic programs in which some of these parameters can be left unknown, so that the user can easily see the impact of their possible values. Furthermore, given a number of test cases, the most appropriate values for these parameters can be automat","authors_text":"Germ\\'an Vidal, Gin\\'es Moreno, Jaime Penabad","cross_cats":["cs.LO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PL","submitted_at":"2016-08-16T17:51:07Z","title":"Tuning Fuzzy Logic Programs with Symbolic Execution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.04688","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:b79787652ad3c4eead45d3ca58b0ef3c6df265a696ff274e917f6c9070229234","target":"record","created_at":"2026-05-18T01:08:36Z","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":"79d52686002529cabdf87120487033428be90cc87afa8aea1aff4d45f447385e","cross_cats_sorted":["cs.LO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.PL","submitted_at":"2016-08-16T17:51:07Z","title_canon_sha256":"ac7890cac7588f8f208dd8bbe9a336cef1596abf569f35bbd0f916b94b7282f4"},"schema_version":"1.0","source":{"id":"1608.04688","kind":"arxiv","version":1}},"canonical_sha256":"9dd1fca25335391d6bb3678a3a68e156e8cc6fc9d3a2f0cf01621c0d80299988","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9dd1fca25335391d6bb3678a3a68e156e8cc6fc9d3a2f0cf01621c0d80299988","first_computed_at":"2026-05-18T01:08:36.536191Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:08:36.536191Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/GvEVF0DBnDdV41i3AjqvY3dq9e1DMDGbpyDzTuNCC3ytX52+QeRIh8n8VPWD5xYWePkTJw5ERIzvXkEI7h8BA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:08:36.536909Z","signed_message":"canonical_sha256_bytes"},"source_id":"1608.04688","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b79787652ad3c4eead45d3ca58b0ef3c6df265a696ff274e917f6c9070229234","sha256:39e93b6262ca010db16eabc428773d1e349542d994f4a02d049c6eaa865114c1"],"state_sha256":"fe78c33ba36bf96aab07448088e2e32077c19135c11898bb2e9d86bbf362bb4b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"no7TqNdhjH3/jbRJvCD73pDqsckg1oODUdJFwPCvtueMQdjuIF4pd/JnXuUE9ke9P5zG3+BNZ4RefVjujliiDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T13:04:09.529725Z","bundle_sha256":"8bd81424a0a7721867f7f9c8970c83bc944290ebb60549e9d2da01d4acbaf283"}}