{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:MO5J24YDQYCL5ZI2JQUNHQEICW","short_pith_number":"pith:MO5J24YD","canonical_record":{"source":{"id":"1709.09433","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-09-27T10:19:38Z","cross_cats_sorted":[],"title_canon_sha256":"87ba52319ac556895c04558feb1e5c9841e7f88b758b5549b8ec0d7cacbde606","abstract_canon_sha256":"cbfb0cd76fcfe6ec8c292e8261c195ab46b6b3668c370711e48c49bbf2fd5fe6"},"schema_version":"1.0"},"canonical_sha256":"63ba9d73038604bee51a4c28d3c08815a19af237e40468071e67d192b29a3099","source":{"kind":"arxiv","id":"1709.09433","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.09433","created_at":"2026-05-18T00:34:11Z"},{"alias_kind":"arxiv_version","alias_value":"1709.09433v1","created_at":"2026-05-18T00:34:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.09433","created_at":"2026-05-18T00:34:11Z"},{"alias_kind":"pith_short_12","alias_value":"MO5J24YDQYCL","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_16","alias_value":"MO5J24YDQYCL5ZI2","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_8","alias_value":"MO5J24YD","created_at":"2026-05-18T12:31:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:MO5J24YDQYCL5ZI2JQUNHQEICW","target":"record","payload":{"canonical_record":{"source":{"id":"1709.09433","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-09-27T10:19:38Z","cross_cats_sorted":[],"title_canon_sha256":"87ba52319ac556895c04558feb1e5c9841e7f88b758b5549b8ec0d7cacbde606","abstract_canon_sha256":"cbfb0cd76fcfe6ec8c292e8261c195ab46b6b3668c370711e48c49bbf2fd5fe6"},"schema_version":"1.0"},"canonical_sha256":"63ba9d73038604bee51a4c28d3c08815a19af237e40468071e67d192b29a3099","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:34:11.765290Z","signature_b64":"Q9m/dqn1N4vKA0VPjEYLwDtVS1FTkysU3VKUp8PbGnWXg4qIzr66SQ+nmy5mlCJed0UkoyXMf+/MBFSvCPGfDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"63ba9d73038604bee51a4c28d3c08815a19af237e40468071e67d192b29a3099","last_reissued_at":"2026-05-18T00:34:11.764662Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:34:11.764662Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1709.09433","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":"2026-05-18T00:34:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hW4RV0sKLHSTyXZcDsyPFCV1gTKdITmvmISwhRbHdZlwXaatLUuBVTsrP4CcKL5sWTkUKsgtaZqNsqS79GzuBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T15:28:51.809815Z"},"content_sha256":"55819673762069a23e6ca573f81b099fb6c80389b14b279c7c7826ea521efe78","schema_version":"1.0","event_id":"sha256:55819673762069a23e6ca573f81b099fb6c80389b14b279c7c7826ea521efe78"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:MO5J24YDQYCL5ZI2JQUNHQEICW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Scene learning, recognition and similarity detection in a fuzzy ontology via human examples","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Alessandro Saffiotti, Fulvio Mastrogiovanni, Luca Buoncompagni","submitted_at":"2017-09-27T10:19:38Z","abstract_excerpt":"This paper introduces a Fuzzy Logic framework for scene learning, recognition and similarity detection, where scenes are taught via human examples. The framework allows a robot to: (i) deal with the intrinsic vagueness associated with determining spatial relations among objects; (ii) infer similarities and dissimilarities in a set of scenes, and represent them in a hierarchical structure represented in a Fuzzy ontology. In this paper, we briefly formalize our approach and we provide a few use cases by way of illustration. Nevertheless, we discuss how the framework can be used in real-world sce"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.09433","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":"2026-05-18T00:34:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CUykGC+rhupMVbKZugpxwn5yhfpLsHjAfq9PBYAT3wiDZfwrBfDjWyoSxj0BJWRftQ+xh6a/yuPTnQ14LYuSAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T15:28:51.810454Z"},"content_sha256":"e2fa0cf35045bb1741c0e8683795cdea82e82026f5685f8e11d432844155fa43","schema_version":"1.0","event_id":"sha256:e2fa0cf35045bb1741c0e8683795cdea82e82026f5685f8e11d432844155fa43"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MO5J24YDQYCL5ZI2JQUNHQEICW/bundle.json","state_url":"https://pith.science/pith/MO5J24YDQYCL5ZI2JQUNHQEICW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MO5J24YDQYCL5ZI2JQUNHQEICW/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":"2026-06-10T15:28:51Z","links":{"resolver":"https://pith.science/pith/MO5J24YDQYCL5ZI2JQUNHQEICW","bundle":"https://pith.science/pith/MO5J24YDQYCL5ZI2JQUNHQEICW/bundle.json","state":"https://pith.science/pith/MO5J24YDQYCL5ZI2JQUNHQEICW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MO5J24YDQYCL5ZI2JQUNHQEICW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:MO5J24YDQYCL5ZI2JQUNHQEICW","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":"cbfb0cd76fcfe6ec8c292e8261c195ab46b6b3668c370711e48c49bbf2fd5fe6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-09-27T10:19:38Z","title_canon_sha256":"87ba52319ac556895c04558feb1e5c9841e7f88b758b5549b8ec0d7cacbde606"},"schema_version":"1.0","source":{"id":"1709.09433","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.09433","created_at":"2026-05-18T00:34:11Z"},{"alias_kind":"arxiv_version","alias_value":"1709.09433v1","created_at":"2026-05-18T00:34:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.09433","created_at":"2026-05-18T00:34:11Z"},{"alias_kind":"pith_short_12","alias_value":"MO5J24YDQYCL","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_16","alias_value":"MO5J24YDQYCL5ZI2","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_8","alias_value":"MO5J24YD","created_at":"2026-05-18T12:31:31Z"}],"graph_snapshots":[{"event_id":"sha256:e2fa0cf35045bb1741c0e8683795cdea82e82026f5685f8e11d432844155fa43","target":"graph","created_at":"2026-05-18T00:34:11Z","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":"This paper introduces a Fuzzy Logic framework for scene learning, recognition and similarity detection, where scenes are taught via human examples. The framework allows a robot to: (i) deal with the intrinsic vagueness associated with determining spatial relations among objects; (ii) infer similarities and dissimilarities in a set of scenes, and represent them in a hierarchical structure represented in a Fuzzy ontology. In this paper, we briefly formalize our approach and we provide a few use cases by way of illustration. Nevertheless, we discuss how the framework can be used in real-world sce","authors_text":"Alessandro Saffiotti, Fulvio Mastrogiovanni, Luca Buoncompagni","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-09-27T10:19:38Z","title":"Scene learning, recognition and similarity detection in a fuzzy ontology via human examples"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.09433","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":"sha256:55819673762069a23e6ca573f81b099fb6c80389b14b279c7c7826ea521efe78","target":"record","created_at":"2026-05-18T00:34:11Z","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":"cbfb0cd76fcfe6ec8c292e8261c195ab46b6b3668c370711e48c49bbf2fd5fe6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-09-27T10:19:38Z","title_canon_sha256":"87ba52319ac556895c04558feb1e5c9841e7f88b758b5549b8ec0d7cacbde606"},"schema_version":"1.0","source":{"id":"1709.09433","kind":"arxiv","version":1}},"canonical_sha256":"63ba9d73038604bee51a4c28d3c08815a19af237e40468071e67d192b29a3099","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"63ba9d73038604bee51a4c28d3c08815a19af237e40468071e67d192b29a3099","first_computed_at":"2026-05-18T00:34:11.764662Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:34:11.764662Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Q9m/dqn1N4vKA0VPjEYLwDtVS1FTkysU3VKUp8PbGnWXg4qIzr66SQ+nmy5mlCJed0UkoyXMf+/MBFSvCPGfDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:34:11.765290Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.09433","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:55819673762069a23e6ca573f81b099fb6c80389b14b279c7c7826ea521efe78","sha256:e2fa0cf35045bb1741c0e8683795cdea82e82026f5685f8e11d432844155fa43"],"state_sha256":"b5d459b83b4b45644bc41b127fbdc032f58e8be8e673db7ff99c8bc6cba37e06"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NR4FqLMOasru34QL5fvIXR8zD3kePxU4np/kOkTlTeQCvi8q0UfVmRUMqkGO6XZ3cwNX1P0l80YErzRRKcxpBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-10T15:28:51.813638Z","bundle_sha256":"a5001f693e05c58d3d0eaf2bcd00d1a227f1ec4ae32c4b81bdcc0315e999aac3"}}