{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:4LAKQZO6G2FQRIUQ6YJ7BSG57F","short_pith_number":"pith:4LAKQZO6","canonical_record":{"source":{"id":"1508.02593","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2015-08-11T13:49:07Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"56113ab2d19a855d25de1db5daac41f095c50ec0e94f6c709f5f4d3000d138e4","abstract_canon_sha256":"d93917ab708af3edcc64a361d4af0aca36174b706cb6ea5f35f6dd40d79b21c2"},"schema_version":"1.0"},"canonical_sha256":"e2c0a865de368b08a290f613f0c8ddf96dc4cfd9c35583619f07039bd7186ac6","source":{"kind":"arxiv","id":"1508.02593","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1508.02593","created_at":"2026-05-18T01:34:37Z"},{"alias_kind":"arxiv_version","alias_value":"1508.02593v2","created_at":"2026-05-18T01:34:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1508.02593","created_at":"2026-05-18T01:34:37Z"},{"alias_kind":"pith_short_12","alias_value":"4LAKQZO6G2FQ","created_at":"2026-05-18T12:29:05Z"},{"alias_kind":"pith_short_16","alias_value":"4LAKQZO6G2FQRIUQ","created_at":"2026-05-18T12:29:05Z"},{"alias_kind":"pith_short_8","alias_value":"4LAKQZO6","created_at":"2026-05-18T12:29:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:4LAKQZO6G2FQRIUQ6YJ7BSG57F","target":"record","payload":{"canonical_record":{"source":{"id":"1508.02593","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2015-08-11T13:49:07Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"56113ab2d19a855d25de1db5daac41f095c50ec0e94f6c709f5f4d3000d138e4","abstract_canon_sha256":"d93917ab708af3edcc64a361d4af0aca36174b706cb6ea5f35f6dd40d79b21c2"},"schema_version":"1.0"},"canonical_sha256":"e2c0a865de368b08a290f613f0c8ddf96dc4cfd9c35583619f07039bd7186ac6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:34:37.376533Z","signature_b64":"mFn4PoYKHH432STXTfe0ppwJG9BL+IrXJPjadV5i0XFK/eTdqzbEv2ZZ1jpIeUFKU4MnlkBKfaHW/3+HULGLBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e2c0a865de368b08a290f613f0c8ddf96dc4cfd9c35583619f07039bd7186ac6","last_reissued_at":"2026-05-18T01:34:37.375764Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:34:37.375764Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1508.02593","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:34:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MwGW2cEF4Yw+aHc9fZiZq+enTgq8l9aBPEJPDC0j9DWnpXXqzHi/roOLs5el1lQeJMRbrTC6aX5ABwbzHrBqAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T05:20:50.700614Z"},"content_sha256":"6f7d07584798be628dc95cab9284ec13212fac6717b4423153264f8ae395421e","schema_version":"1.0","event_id":"sha256:6f7d07584798be628dc95cab9284ec13212fac6717b4423153264f8ae395421e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:4LAKQZO6G2FQRIUQ6YJ7BSG57F","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Type-Constrained Representation Learning in Knowledge Graphs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.AI","authors_text":"Denis Krompa{\\ss}, Stephan Baier, Volker Tresp","submitted_at":"2015-08-11T13:49:07Z","abstract_excerpt":"Large knowledge graphs increasingly add value to various applications that require machines to recognize and understand queries and their semantics, as in search or question answering systems. Latent variable models have increasingly gained attention for the statistical modeling of knowledge graphs, showing promising results in tasks related to knowledge graph completion and cleaning. Besides storing facts about the world, schema-based knowledge graphs are backed by rich semantic descriptions of entities and relation-types that allow machines to understand the notion of things and their semant"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1508.02593","kind":"arxiv","version":2},"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":"2026-05-18T01:34:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+uKfSX/ncEBplv/9jBmkwzqOXw96G1p8yqtzMzbNeS6Hn1dlKNRGxy3tif5ITki2rwFMy5xjJmgBU/hpsWhnBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T05:20:50.701345Z"},"content_sha256":"4f3c38cbba6d6221e5aac1245abe56f1681ef6c4c5f431068f374d52900f4294","schema_version":"1.0","event_id":"sha256:4f3c38cbba6d6221e5aac1245abe56f1681ef6c4c5f431068f374d52900f4294"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4LAKQZO6G2FQRIUQ6YJ7BSG57F/bundle.json","state_url":"https://pith.science/pith/4LAKQZO6G2FQRIUQ6YJ7BSG57F/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4LAKQZO6G2FQRIUQ6YJ7BSG57F/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":"2026-06-07T05:20:50Z","links":{"resolver":"https://pith.science/pith/4LAKQZO6G2FQRIUQ6YJ7BSG57F","bundle":"https://pith.science/pith/4LAKQZO6G2FQRIUQ6YJ7BSG57F/bundle.json","state":"https://pith.science/pith/4LAKQZO6G2FQRIUQ6YJ7BSG57F/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4LAKQZO6G2FQRIUQ6YJ7BSG57F/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:4LAKQZO6G2FQRIUQ6YJ7BSG57F","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":"d93917ab708af3edcc64a361d4af0aca36174b706cb6ea5f35f6dd40d79b21c2","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2015-08-11T13:49:07Z","title_canon_sha256":"56113ab2d19a855d25de1db5daac41f095c50ec0e94f6c709f5f4d3000d138e4"},"schema_version":"1.0","source":{"id":"1508.02593","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1508.02593","created_at":"2026-05-18T01:34:37Z"},{"alias_kind":"arxiv_version","alias_value":"1508.02593v2","created_at":"2026-05-18T01:34:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1508.02593","created_at":"2026-05-18T01:34:37Z"},{"alias_kind":"pith_short_12","alias_value":"4LAKQZO6G2FQ","created_at":"2026-05-18T12:29:05Z"},{"alias_kind":"pith_short_16","alias_value":"4LAKQZO6G2FQRIUQ","created_at":"2026-05-18T12:29:05Z"},{"alias_kind":"pith_short_8","alias_value":"4LAKQZO6","created_at":"2026-05-18T12:29:05Z"}],"graph_snapshots":[{"event_id":"sha256:4f3c38cbba6d6221e5aac1245abe56f1681ef6c4c5f431068f374d52900f4294","target":"graph","created_at":"2026-05-18T01:34:37Z","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":"Large knowledge graphs increasingly add value to various applications that require machines to recognize and understand queries and their semantics, as in search or question answering systems. Latent variable models have increasingly gained attention for the statistical modeling of knowledge graphs, showing promising results in tasks related to knowledge graph completion and cleaning. Besides storing facts about the world, schema-based knowledge graphs are backed by rich semantic descriptions of entities and relation-types that allow machines to understand the notion of things and their semant","authors_text":"Denis Krompa{\\ss}, Stephan Baier, Volker Tresp","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2015-08-11T13:49:07Z","title":"Type-Constrained Representation Learning in Knowledge Graphs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1508.02593","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":"sha256:6f7d07584798be628dc95cab9284ec13212fac6717b4423153264f8ae395421e","target":"record","created_at":"2026-05-18T01:34:37Z","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":"d93917ab708af3edcc64a361d4af0aca36174b706cb6ea5f35f6dd40d79b21c2","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2015-08-11T13:49:07Z","title_canon_sha256":"56113ab2d19a855d25de1db5daac41f095c50ec0e94f6c709f5f4d3000d138e4"},"schema_version":"1.0","source":{"id":"1508.02593","kind":"arxiv","version":2}},"canonical_sha256":"e2c0a865de368b08a290f613f0c8ddf96dc4cfd9c35583619f07039bd7186ac6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e2c0a865de368b08a290f613f0c8ddf96dc4cfd9c35583619f07039bd7186ac6","first_computed_at":"2026-05-18T01:34:37.375764Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:34:37.375764Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mFn4PoYKHH432STXTfe0ppwJG9BL+IrXJPjadV5i0XFK/eTdqzbEv2ZZ1jpIeUFKU4MnlkBKfaHW/3+HULGLBw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:34:37.376533Z","signed_message":"canonical_sha256_bytes"},"source_id":"1508.02593","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6f7d07584798be628dc95cab9284ec13212fac6717b4423153264f8ae395421e","sha256:4f3c38cbba6d6221e5aac1245abe56f1681ef6c4c5f431068f374d52900f4294"],"state_sha256":"c4e2e1e0b8011bb3d208ce89f08eb04847fa57efa73bf5cfe00425ebd6b2a952"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FujdFK4VlX0BM3+eAkA3yF90ReOv3ya0EALJkjhvc6h8ud3bhfhol+zfOT1J/jhQdTt0KaacybTlSLOGWHuQCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-07T05:20:50.704940Z","bundle_sha256":"24088df9b429d3e0e732f443bb15f71732ca5edc55dc72532697a4200ccd26cb"}}