{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:52DZ2RVUKC73EFOIKLKV6HYTOZ","short_pith_number":"pith:52DZ2RVU","canonical_record":{"source":{"id":"1405.0915","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2014-05-05T14:57:08Z","cross_cats_sorted":[],"title_canon_sha256":"c32aa40e757345db2c81e59562f5c3534cbfb311e084ae49791447a3c05aa023","abstract_canon_sha256":"4452e4479def14db9d7a6bd4f83a9d74c95694ec5e60ecc97dfe54691807201f"},"schema_version":"1.0"},"canonical_sha256":"ee879d46b450bfb215c852d55f1f1376456670ee1df2ded048bacc42927375ef","source":{"kind":"arxiv","id":"1405.0915","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1405.0915","created_at":"2026-05-18T02:28:23Z"},{"alias_kind":"arxiv_version","alias_value":"1405.0915v3","created_at":"2026-05-18T02:28:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1405.0915","created_at":"2026-05-18T02:28:23Z"},{"alias_kind":"pith_short_12","alias_value":"52DZ2RVUKC73","created_at":"2026-05-18T12:28:14Z"},{"alias_kind":"pith_short_16","alias_value":"52DZ2RVUKC73EFOI","created_at":"2026-05-18T12:28:14Z"},{"alias_kind":"pith_short_8","alias_value":"52DZ2RVU","created_at":"2026-05-18T12:28:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:52DZ2RVUKC73EFOIKLKV6HYTOZ","target":"record","payload":{"canonical_record":{"source":{"id":"1405.0915","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2014-05-05T14:57:08Z","cross_cats_sorted":[],"title_canon_sha256":"c32aa40e757345db2c81e59562f5c3534cbfb311e084ae49791447a3c05aa023","abstract_canon_sha256":"4452e4479def14db9d7a6bd4f83a9d74c95694ec5e60ecc97dfe54691807201f"},"schema_version":"1.0"},"canonical_sha256":"ee879d46b450bfb215c852d55f1f1376456670ee1df2ded048bacc42927375ef","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:28:23.023101Z","signature_b64":"YfynB1WSNTGpKeJWxYnboIGvqIOaKRHaAQ6EHNdEUIkvYOjcQl3FXO3gKSO4XRihhdTJJXj4PLF+HLdGblV/Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ee879d46b450bfb215c852d55f1f1376456670ee1df2ded048bacc42927375ef","last_reissued_at":"2026-05-18T02:28:23.022505Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:28:23.022505Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1405.0915","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:28:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rx/JCJGN8EvafOyaGYAGzha8j3uR4ayeWcIH827lfotVJ9wlNzK+dkrSmsh2E1cl9lib0IZQYL+eJ/QZzkVsBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T15:10:13.964113Z"},"content_sha256":"1f89fbdab233641739a26a81a7d54ed59c0e28e3812df190d898445ac53e6a4b","schema_version":"1.0","event_id":"sha256:1f89fbdab233641739a26a81a7d54ed59c0e28e3812df190d898445ac53e6a4b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:52DZ2RVUKC73EFOIKLKV6HYTOZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Reasoning with Probabilistic Logics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Riccardo Zese","submitted_at":"2014-05-05T14:57:08Z","abstract_excerpt":"The interest in the combination of probability with logics for modeling the world has rapidly increased in the last few years. One of the most effective approaches is the Distribution Semantics which was adopted by many logic programming languages and in Descripion Logics. In this paper, we illustrate the work we have done in this research field by presenting a probabilistic semantics for description logics and reasoning and learning algorithms. In particular, we present in detail the system TRILL P, which computes the probability of queries w.r.t. probabilistic knowledge bases, which has been"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1405.0915","kind":"arxiv","version":3},"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":"2026-05-18T02:28:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lMn19kXQPjdMk4+gcufkLGz7PTJ31ZSjPdJlVu7aPJmMOMHty1z6yEJB0VRg6fB7uHn4NNDHHt8DT/sWCQH5BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T15:10:13.964482Z"},"content_sha256":"61ae7ef293609bdd376fdccd289f8169f0298c90a4774004ed5d61c77e50b334","schema_version":"1.0","event_id":"sha256:61ae7ef293609bdd376fdccd289f8169f0298c90a4774004ed5d61c77e50b334"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/52DZ2RVUKC73EFOIKLKV6HYTOZ/bundle.json","state_url":"https://pith.science/pith/52DZ2RVUKC73EFOIKLKV6HYTOZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/52DZ2RVUKC73EFOIKLKV6HYTOZ/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":"2026-06-09T15:10:13Z","links":{"resolver":"https://pith.science/pith/52DZ2RVUKC73EFOIKLKV6HYTOZ","bundle":"https://pith.science/pith/52DZ2RVUKC73EFOIKLKV6HYTOZ/bundle.json","state":"https://pith.science/pith/52DZ2RVUKC73EFOIKLKV6HYTOZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/52DZ2RVUKC73EFOIKLKV6HYTOZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:52DZ2RVUKC73EFOIKLKV6HYTOZ","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":"4452e4479def14db9d7a6bd4f83a9d74c95694ec5e60ecc97dfe54691807201f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2014-05-05T14:57:08Z","title_canon_sha256":"c32aa40e757345db2c81e59562f5c3534cbfb311e084ae49791447a3c05aa023"},"schema_version":"1.0","source":{"id":"1405.0915","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1405.0915","created_at":"2026-05-18T02:28:23Z"},{"alias_kind":"arxiv_version","alias_value":"1405.0915v3","created_at":"2026-05-18T02:28:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1405.0915","created_at":"2026-05-18T02:28:23Z"},{"alias_kind":"pith_short_12","alias_value":"52DZ2RVUKC73","created_at":"2026-05-18T12:28:14Z"},{"alias_kind":"pith_short_16","alias_value":"52DZ2RVUKC73EFOI","created_at":"2026-05-18T12:28:14Z"},{"alias_kind":"pith_short_8","alias_value":"52DZ2RVU","created_at":"2026-05-18T12:28:14Z"}],"graph_snapshots":[{"event_id":"sha256:61ae7ef293609bdd376fdccd289f8169f0298c90a4774004ed5d61c77e50b334","target":"graph","created_at":"2026-05-18T02:28:23Z","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":"The interest in the combination of probability with logics for modeling the world has rapidly increased in the last few years. One of the most effective approaches is the Distribution Semantics which was adopted by many logic programming languages and in Descripion Logics. In this paper, we illustrate the work we have done in this research field by presenting a probabilistic semantics for description logics and reasoning and learning algorithms. In particular, we present in detail the system TRILL P, which computes the probability of queries w.r.t. probabilistic knowledge bases, which has been","authors_text":"Riccardo Zese","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2014-05-05T14:57:08Z","title":"Reasoning with Probabilistic Logics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1405.0915","kind":"arxiv","version":3},"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":"sha256:1f89fbdab233641739a26a81a7d54ed59c0e28e3812df190d898445ac53e6a4b","target":"record","created_at":"2026-05-18T02:28:23Z","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":"4452e4479def14db9d7a6bd4f83a9d74c95694ec5e60ecc97dfe54691807201f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2014-05-05T14:57:08Z","title_canon_sha256":"c32aa40e757345db2c81e59562f5c3534cbfb311e084ae49791447a3c05aa023"},"schema_version":"1.0","source":{"id":"1405.0915","kind":"arxiv","version":3}},"canonical_sha256":"ee879d46b450bfb215c852d55f1f1376456670ee1df2ded048bacc42927375ef","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ee879d46b450bfb215c852d55f1f1376456670ee1df2ded048bacc42927375ef","first_computed_at":"2026-05-18T02:28:23.022505Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:28:23.022505Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YfynB1WSNTGpKeJWxYnboIGvqIOaKRHaAQ6EHNdEUIkvYOjcQl3FXO3gKSO4XRihhdTJJXj4PLF+HLdGblV/Aw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:28:23.023101Z","signed_message":"canonical_sha256_bytes"},"source_id":"1405.0915","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1f89fbdab233641739a26a81a7d54ed59c0e28e3812df190d898445ac53e6a4b","sha256:61ae7ef293609bdd376fdccd289f8169f0298c90a4774004ed5d61c77e50b334"],"state_sha256":"f641f3c09d0e86a4eba40f26cda7011dbe92fbbe5285121fe82796b626046724"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jvmgslmLm7CrjRrFJdVFpb6bPE5dU26s/krCBoYVEQ47dE11q4VUz86vYx2HgWYePhSMGxJbli58IBWDZEVoBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T15:10:13.966290Z","bundle_sha256":"f7344d11ae4f4d25eb7e0d405ce5983278952c3dd8feaacb25b7a5f52ead6817"}}