{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:PSEUV37X3N5MOGT4RX5DWME3GE","short_pith_number":"pith:PSEUV37X","canonical_record":{"source":{"id":"1807.01367","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2018-06-26T03:51:53Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"4577ca550e9e118f1cd647cf16214e4a1ad79785ec47b4b68ed6a1b076dc92ac","abstract_canon_sha256":"b4ee4de4fc0832ddb85510560e5973f53d4991b2ebe455c00baf20e8dfaae01b"},"schema_version":"1.0"},"canonical_sha256":"7c894aeff7db7ac71a7c8dfa3b309b313fd33d0513491fbc2c37a07b1b8f62ce","source":{"kind":"arxiv","id":"1807.01367","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.01367","created_at":"2026-05-18T00:07:58Z"},{"alias_kind":"arxiv_version","alias_value":"1807.01367v2","created_at":"2026-05-18T00:07:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.01367","created_at":"2026-05-18T00:07:58Z"},{"alias_kind":"pith_short_12","alias_value":"PSEUV37X3N5M","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_16","alias_value":"PSEUV37X3N5MOGT4","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_8","alias_value":"PSEUV37X","created_at":"2026-05-18T12:32:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:PSEUV37X3N5MOGT4RX5DWME3GE","target":"record","payload":{"canonical_record":{"source":{"id":"1807.01367","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2018-06-26T03:51:53Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"4577ca550e9e118f1cd647cf16214e4a1ad79785ec47b4b68ed6a1b076dc92ac","abstract_canon_sha256":"b4ee4de4fc0832ddb85510560e5973f53d4991b2ebe455c00baf20e8dfaae01b"},"schema_version":"1.0"},"canonical_sha256":"7c894aeff7db7ac71a7c8dfa3b309b313fd33d0513491fbc2c37a07b1b8f62ce","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:07:58.119461Z","signature_b64":"36agMvhG7Bd2/ogOW+9SirgLVUnZA5TPC2IGO07g0u3lAT5bn6haZoYur6pmll208tUlmIEbpNvasajg9lwRCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7c894aeff7db7ac71a7c8dfa3b309b313fd33d0513491fbc2c37a07b1b8f62ce","last_reissued_at":"2026-05-18T00:07:58.118907Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:07:58.118907Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1807.01367","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":"2026-05-18T00:07:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N4ehoAy2z4d3pOgMDDqrLYMq06QWNgDPSJkSEZS4F9iIDqg30FE1Kkn1X2BI7D5GHIVOVNeRE6ypS5aCdFkGBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T20:25:15.354418Z"},"content_sha256":"4bf559c1e98c28b8b03a7d583ea06aaa9f794e309fc45c42ccf5100d825ce83a","schema_version":"1.0","event_id":"sha256:4bf559c1e98c28b8b03a7d583ea06aaa9f794e309fc45c42ccf5100d825ce83a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:PSEUV37X3N5MOGT4RX5DWME3GE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EmbNum: Semantic labeling for numerical values with deep metric learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.DB","authors_text":"Hideaki Takeda, Khai Nguyen, Phuc Nguyen, Ryutaro Ichise","submitted_at":"2018-06-26T03:51:53Z","abstract_excerpt":"Semantic labeling for numerical values is a task of assigning semantic labels to unknown numerical attributes. The semantic labels could be numerical properties in ontologies, instances in knowledge bases, or labeled data that are manually annotated by domain experts. In this paper, we refer to semantic labeling as a retrieval setting where the label of an unknown attribute is assigned by the label of the most relevant attribute in labeled data. One of the greatest challenges is that an unknown attribute rarely has the same set of values with the similar one in the labeled data. To overcome th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.01367","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":"2026-05-18T00:07:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gLal4w5E4bHDEbSqEamId7CTigz1FYUblC0hEOvCkjEXnX/3ZBQ9lrCB9d7dKk8CO4O1ZW4YdOJgLhvXFBKoCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T20:25:15.355081Z"},"content_sha256":"d0cd17c866f86cd3b48f6e8ab643839d857d4b01c32d86bfe1b304e37f89fc46","schema_version":"1.0","event_id":"sha256:d0cd17c866f86cd3b48f6e8ab643839d857d4b01c32d86bfe1b304e37f89fc46"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PSEUV37X3N5MOGT4RX5DWME3GE/bundle.json","state_url":"https://pith.science/pith/PSEUV37X3N5MOGT4RX5DWME3GE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PSEUV37X3N5MOGT4RX5DWME3GE/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":"2026-05-25T20:25:15Z","links":{"resolver":"https://pith.science/pith/PSEUV37X3N5MOGT4RX5DWME3GE","bundle":"https://pith.science/pith/PSEUV37X3N5MOGT4RX5DWME3GE/bundle.json","state":"https://pith.science/pith/PSEUV37X3N5MOGT4RX5DWME3GE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PSEUV37X3N5MOGT4RX5DWME3GE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:PSEUV37X3N5MOGT4RX5DWME3GE","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":"b4ee4de4fc0832ddb85510560e5973f53d4991b2ebe455c00baf20e8dfaae01b","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2018-06-26T03:51:53Z","title_canon_sha256":"4577ca550e9e118f1cd647cf16214e4a1ad79785ec47b4b68ed6a1b076dc92ac"},"schema_version":"1.0","source":{"id":"1807.01367","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.01367","created_at":"2026-05-18T00:07:58Z"},{"alias_kind":"arxiv_version","alias_value":"1807.01367v2","created_at":"2026-05-18T00:07:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.01367","created_at":"2026-05-18T00:07:58Z"},{"alias_kind":"pith_short_12","alias_value":"PSEUV37X3N5M","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_16","alias_value":"PSEUV37X3N5MOGT4","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_8","alias_value":"PSEUV37X","created_at":"2026-05-18T12:32:46Z"}],"graph_snapshots":[{"event_id":"sha256:d0cd17c866f86cd3b48f6e8ab643839d857d4b01c32d86bfe1b304e37f89fc46","target":"graph","created_at":"2026-05-18T00:07:58Z","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":"Semantic labeling for numerical values is a task of assigning semantic labels to unknown numerical attributes. The semantic labels could be numerical properties in ontologies, instances in knowledge bases, or labeled data that are manually annotated by domain experts. In this paper, we refer to semantic labeling as a retrieval setting where the label of an unknown attribute is assigned by the label of the most relevant attribute in labeled data. One of the greatest challenges is that an unknown attribute rarely has the same set of values with the similar one in the labeled data. To overcome th","authors_text":"Hideaki Takeda, Khai Nguyen, Phuc Nguyen, Ryutaro Ichise","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2018-06-26T03:51:53Z","title":"EmbNum: Semantic labeling for numerical values with deep metric learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.01367","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":"sha256:4bf559c1e98c28b8b03a7d583ea06aaa9f794e309fc45c42ccf5100d825ce83a","target":"record","created_at":"2026-05-18T00:07:58Z","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":"b4ee4de4fc0832ddb85510560e5973f53d4991b2ebe455c00baf20e8dfaae01b","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2018-06-26T03:51:53Z","title_canon_sha256":"4577ca550e9e118f1cd647cf16214e4a1ad79785ec47b4b68ed6a1b076dc92ac"},"schema_version":"1.0","source":{"id":"1807.01367","kind":"arxiv","version":2}},"canonical_sha256":"7c894aeff7db7ac71a7c8dfa3b309b313fd33d0513491fbc2c37a07b1b8f62ce","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7c894aeff7db7ac71a7c8dfa3b309b313fd33d0513491fbc2c37a07b1b8f62ce","first_computed_at":"2026-05-18T00:07:58.118907Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:07:58.118907Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"36agMvhG7Bd2/ogOW+9SirgLVUnZA5TPC2IGO07g0u3lAT5bn6haZoYur6pmll208tUlmIEbpNvasajg9lwRCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:07:58.119461Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.01367","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4bf559c1e98c28b8b03a7d583ea06aaa9f794e309fc45c42ccf5100d825ce83a","sha256:d0cd17c866f86cd3b48f6e8ab643839d857d4b01c32d86bfe1b304e37f89fc46"],"state_sha256":"d5c8fbb4e7157241765bbd109bba9489c329ea92ce8940723c10ea882217c25b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Bc4ipY066E1CqgTm9+rMaiP0T1xvEMqtR6cDT6dA4YLRWsKo2+gG9aUNcD4zTgfA72G2VHb9nVUoasEB2fr4Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T20:25:15.358640Z","bundle_sha256":"794b14a7588d9b793b0beec3abf3451f057f0385873e0a7b4838fc4f5fe1b26d"}}