{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:452APQ36XMUZYPWBKPGIOMTBA5","short_pith_number":"pith:452APQ36","canonical_record":{"source":{"id":"1902.00913","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-02-03T16:03:29Z","cross_cats_sorted":[],"title_canon_sha256":"713a9f876450982875042d760f3b6c23ba991d92371f5dfc22407307620acd30","abstract_canon_sha256":"842270964f3ca4dfdeb3f2fc034bcc2c713ac7aea95604d035dd571871aed201"},"schema_version":"1.0"},"canonical_sha256":"e77407c37ebb299c3ec153cc873261076313d1f603a95b553a610cae3f243265","source":{"kind":"arxiv","id":"1902.00913","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.00913","created_at":"2026-05-17T23:54:51Z"},{"alias_kind":"arxiv_version","alias_value":"1902.00913v1","created_at":"2026-05-17T23:54:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.00913","created_at":"2026-05-17T23:54:51Z"},{"alias_kind":"pith_short_12","alias_value":"452APQ36XMUZ","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_16","alias_value":"452APQ36XMUZYPWB","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_8","alias_value":"452APQ36","created_at":"2026-05-18T12:33:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:452APQ36XMUZYPWBKPGIOMTBA5","target":"record","payload":{"canonical_record":{"source":{"id":"1902.00913","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-02-03T16:03:29Z","cross_cats_sorted":[],"title_canon_sha256":"713a9f876450982875042d760f3b6c23ba991d92371f5dfc22407307620acd30","abstract_canon_sha256":"842270964f3ca4dfdeb3f2fc034bcc2c713ac7aea95604d035dd571871aed201"},"schema_version":"1.0"},"canonical_sha256":"e77407c37ebb299c3ec153cc873261076313d1f603a95b553a610cae3f243265","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:54:51.816621Z","signature_b64":"tRxgIuuqPLCaLR9NzRIvDEtDfOaaOwLEA/1zHO6WnuHbJpjGze5ujrhJM12isTz8uOEjBJ+n98lFeXpzJdobBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e77407c37ebb299c3ec153cc873261076313d1f603a95b553a610cae3f243265","last_reissued_at":"2026-05-17T23:54:51.816178Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:54:51.816178Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1902.00913","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":"2026-05-17T23:54:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TAH3mOkcuiUc6w0GBoYQHuzA1fWZcCS5svVEEnX5A1vkgF3buMCpkyJkXoyC0GxDpqv0lKiofVT8WsPGEGctCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T10:44:32.163806Z"},"content_sha256":"06c6ac368df2a465bbfc5f5f00b887ee86ff5713d126632000d723f92812a81b","schema_version":"1.0","event_id":"sha256:06c6ac368df2a465bbfc5f5f00b887ee86ff5713d126632000d723f92812a81b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:452APQ36XMUZYPWBKPGIOMTBA5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Douwe Kiela, Laetitia Papaxanthos, Matt Le, Maximilian Nickel, Stephen Roller","submitted_at":"2019-02-03T16:03:29Z","abstract_excerpt":"We consider the task of inferring is-a relationships from large text corpora. For this purpose, we propose a new method combining hyperbolic embeddings and Hearst patterns. This approach allows us to set appropriate constraints for inferring concept hierarchies from distributional contexts while also being able to predict missing is-a relationships and to correct wrong extractions. Moreover -- and in contrast with other methods -- the hierarchical nature of hyperbolic space allows us to learn highly efficient representations and to improve the taxonomic consistency of the inferred hierarchies."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.00913","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":"2026-05-17T23:54:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qLW9gETzBECX33WHychJWGWf1Aehi6iBNU8TGmW/ufrK+lpVMsU34fDZ/rNbG8qH3sY5FbzMRfcFMXnMJBNCCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T10:44:32.164550Z"},"content_sha256":"02d39d81597c0bf3dcb45bdfe37c676a784c092ba73a490cdf511820c36d544d","schema_version":"1.0","event_id":"sha256:02d39d81597c0bf3dcb45bdfe37c676a784c092ba73a490cdf511820c36d544d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/452APQ36XMUZYPWBKPGIOMTBA5/bundle.json","state_url":"https://pith.science/pith/452APQ36XMUZYPWBKPGIOMTBA5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/452APQ36XMUZYPWBKPGIOMTBA5/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":"2026-05-30T10:44:32Z","links":{"resolver":"https://pith.science/pith/452APQ36XMUZYPWBKPGIOMTBA5","bundle":"https://pith.science/pith/452APQ36XMUZYPWBKPGIOMTBA5/bundle.json","state":"https://pith.science/pith/452APQ36XMUZYPWBKPGIOMTBA5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/452APQ36XMUZYPWBKPGIOMTBA5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:452APQ36XMUZYPWBKPGIOMTBA5","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":"842270964f3ca4dfdeb3f2fc034bcc2c713ac7aea95604d035dd571871aed201","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-02-03T16:03:29Z","title_canon_sha256":"713a9f876450982875042d760f3b6c23ba991d92371f5dfc22407307620acd30"},"schema_version":"1.0","source":{"id":"1902.00913","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.00913","created_at":"2026-05-17T23:54:51Z"},{"alias_kind":"arxiv_version","alias_value":"1902.00913v1","created_at":"2026-05-17T23:54:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.00913","created_at":"2026-05-17T23:54:51Z"},{"alias_kind":"pith_short_12","alias_value":"452APQ36XMUZ","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_16","alias_value":"452APQ36XMUZYPWB","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_8","alias_value":"452APQ36","created_at":"2026-05-18T12:33:10Z"}],"graph_snapshots":[{"event_id":"sha256:02d39d81597c0bf3dcb45bdfe37c676a784c092ba73a490cdf511820c36d544d","target":"graph","created_at":"2026-05-17T23:54:51Z","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":"We consider the task of inferring is-a relationships from large text corpora. For this purpose, we propose a new method combining hyperbolic embeddings and Hearst patterns. This approach allows us to set appropriate constraints for inferring concept hierarchies from distributional contexts while also being able to predict missing is-a relationships and to correct wrong extractions. Moreover -- and in contrast with other methods -- the hierarchical nature of hyperbolic space allows us to learn highly efficient representations and to improve the taxonomic consistency of the inferred hierarchies.","authors_text":"Douwe Kiela, Laetitia Papaxanthos, Matt Le, Maximilian Nickel, Stephen Roller","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-02-03T16:03:29Z","title":"Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.00913","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":"sha256:06c6ac368df2a465bbfc5f5f00b887ee86ff5713d126632000d723f92812a81b","target":"record","created_at":"2026-05-17T23:54:51Z","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":"842270964f3ca4dfdeb3f2fc034bcc2c713ac7aea95604d035dd571871aed201","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-02-03T16:03:29Z","title_canon_sha256":"713a9f876450982875042d760f3b6c23ba991d92371f5dfc22407307620acd30"},"schema_version":"1.0","source":{"id":"1902.00913","kind":"arxiv","version":1}},"canonical_sha256":"e77407c37ebb299c3ec153cc873261076313d1f603a95b553a610cae3f243265","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e77407c37ebb299c3ec153cc873261076313d1f603a95b553a610cae3f243265","first_computed_at":"2026-05-17T23:54:51.816178Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:54:51.816178Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tRxgIuuqPLCaLR9NzRIvDEtDfOaaOwLEA/1zHO6WnuHbJpjGze5ujrhJM12isTz8uOEjBJ+n98lFeXpzJdobBA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:54:51.816621Z","signed_message":"canonical_sha256_bytes"},"source_id":"1902.00913","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:06c6ac368df2a465bbfc5f5f00b887ee86ff5713d126632000d723f92812a81b","sha256:02d39d81597c0bf3dcb45bdfe37c676a784c092ba73a490cdf511820c36d544d"],"state_sha256":"00b970c544ca49c27d886fe8511fc3a0e8ad17c8755e9190f63c66e4f9e777b8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cltynt/VAAN4CZmoGCPqEd63cIi4bMF26SAXQzP5PH6tgzPSQAm2/qtFDPY1Mx2lBM8TLr6cDKC1ii3DNOh1CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T10:44:32.168669Z","bundle_sha256":"e737f4df243c30c54b384b683094244ed55cfcbe80b3ce31eae36eec384eef91"}}