{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:KRURTVZ2GWE7OPDFMUOOKM6JMK","short_pith_number":"pith:KRURTVZ2","canonical_record":{"source":{"id":"1906.03608","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-09T09:45:24Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"da51b0878f221a5ade7150a4b5f2f5cd8ccd70d4b12643f6556370d09e1f62e5","abstract_canon_sha256":"2d013eebf753e5895d6443fb4c25f5773bf00f285d1547f125209306e155d06c"},"schema_version":"1.0"},"canonical_sha256":"546919d73a3589f73c65651ce533c962a1266029666593b3df861da5a3138575","source":{"kind":"arxiv","id":"1906.03608","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.03608","created_at":"2026-05-17T23:43:47Z"},{"alias_kind":"arxiv_version","alias_value":"1906.03608v1","created_at":"2026-05-17T23:43:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.03608","created_at":"2026-05-17T23:43:47Z"},{"alias_kind":"pith_short_12","alias_value":"KRURTVZ2GWE7","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"KRURTVZ2GWE7OPDF","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"KRURTVZ2","created_at":"2026-05-18T12:33:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:KRURTVZ2GWE7OPDFMUOOKM6JMK","target":"record","payload":{"canonical_record":{"source":{"id":"1906.03608","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-09T09:45:24Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"da51b0878f221a5ade7150a4b5f2f5cd8ccd70d4b12643f6556370d09e1f62e5","abstract_canon_sha256":"2d013eebf753e5895d6443fb4c25f5773bf00f285d1547f125209306e155d06c"},"schema_version":"1.0"},"canonical_sha256":"546919d73a3589f73c65651ce533c962a1266029666593b3df861da5a3138575","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:43:47.909128Z","signature_b64":"sKHEBnIMXP6LpUgOTXlAk9lWYahXKbIDfZWYdgBWTlEAuHLZYgNe/hoFSUfGPnBGC3npWCxfmNJ4+M71vWNwDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"546919d73a3589f73c65651ce533c962a1266029666593b3df861da5a3138575","last_reissued_at":"2026-05-17T23:43:47.908500Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:43:47.908500Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.03608","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":"2026-05-17T23:43:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"09paxWr7P3KUhPDS0z59okgInWjRVw3yxWa8L6myQMpOdC6GzeaOOldHwyr1MW4QFSzmENgPWKnx7kg3c+q5Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T17:15:09.942505Z"},"content_sha256":"8da04ec141d7a1ca1ed92e588431f98f0a2aea49240211d18d02c18d008cc0bf","schema_version":"1.0","event_id":"sha256:8da04ec141d7a1ca1ed92e588431f98f0a2aea49240211d18d02c18d008cc0bf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:KRURTVZ2GWE7OPDFMUOOKM6JMK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Eneko Agirre, Hinrich Sch\\\"utze, Katharina Kann, Timothy J. Hazen, Yadollah Yaghoobzadeh","submitted_at":"2019-06-09T09:45:24Z","abstract_excerpt":"Word embeddings typically represent different meanings of a word in a single conflated vector. Empirical analysis of embeddings of ambiguous words is currently limited by the small size of manually annotated resources and by the fact that word senses are treated as unrelated individual concepts. We present a large dataset based on manual Wikipedia annotations and word senses, where word senses from different words are related by semantic classes. This is the basis for novel diagnostic tests for an embedding's content: we probe word embeddings for semantic classes and analyze the embedding spac"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.03608","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":"2026-05-17T23:43:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MgZ8N8V8XEG9MKpa9eBMngOD0nz0W+QK0Ov1J7O1PbFdfG0Gy+x8O4FsYEzL7VVBbfXHUeVgN9qNgUD2QMSiAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T17:15:09.943162Z"},"content_sha256":"5883588c96ed5babde88b3330e00fa4f512cf89d52da22ba9cc1247db37a04f4","schema_version":"1.0","event_id":"sha256:5883588c96ed5babde88b3330e00fa4f512cf89d52da22ba9cc1247db37a04f4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KRURTVZ2GWE7OPDFMUOOKM6JMK/bundle.json","state_url":"https://pith.science/pith/KRURTVZ2GWE7OPDFMUOOKM6JMK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KRURTVZ2GWE7OPDFMUOOKM6JMK/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":"2026-06-06T17:15:09Z","links":{"resolver":"https://pith.science/pith/KRURTVZ2GWE7OPDFMUOOKM6JMK","bundle":"https://pith.science/pith/KRURTVZ2GWE7OPDFMUOOKM6JMK/bundle.json","state":"https://pith.science/pith/KRURTVZ2GWE7OPDFMUOOKM6JMK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KRURTVZ2GWE7OPDFMUOOKM6JMK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:KRURTVZ2GWE7OPDFMUOOKM6JMK","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":"2d013eebf753e5895d6443fb4c25f5773bf00f285d1547f125209306e155d06c","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-09T09:45:24Z","title_canon_sha256":"da51b0878f221a5ade7150a4b5f2f5cd8ccd70d4b12643f6556370d09e1f62e5"},"schema_version":"1.0","source":{"id":"1906.03608","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.03608","created_at":"2026-05-17T23:43:47Z"},{"alias_kind":"arxiv_version","alias_value":"1906.03608v1","created_at":"2026-05-17T23:43:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.03608","created_at":"2026-05-17T23:43:47Z"},{"alias_kind":"pith_short_12","alias_value":"KRURTVZ2GWE7","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"KRURTVZ2GWE7OPDF","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"KRURTVZ2","created_at":"2026-05-18T12:33:21Z"}],"graph_snapshots":[{"event_id":"sha256:5883588c96ed5babde88b3330e00fa4f512cf89d52da22ba9cc1247db37a04f4","target":"graph","created_at":"2026-05-17T23:43:47Z","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":"Word embeddings typically represent different meanings of a word in a single conflated vector. Empirical analysis of embeddings of ambiguous words is currently limited by the small size of manually annotated resources and by the fact that word senses are treated as unrelated individual concepts. We present a large dataset based on manual Wikipedia annotations and word senses, where word senses from different words are related by semantic classes. This is the basis for novel diagnostic tests for an embedding's content: we probe word embeddings for semantic classes and analyze the embedding spac","authors_text":"Eneko Agirre, Hinrich Sch\\\"utze, Katharina Kann, Timothy J. Hazen, Yadollah Yaghoobzadeh","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-09T09:45:24Z","title":"Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.03608","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":"sha256:8da04ec141d7a1ca1ed92e588431f98f0a2aea49240211d18d02c18d008cc0bf","target":"record","created_at":"2026-05-17T23:43:47Z","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":"2d013eebf753e5895d6443fb4c25f5773bf00f285d1547f125209306e155d06c","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-09T09:45:24Z","title_canon_sha256":"da51b0878f221a5ade7150a4b5f2f5cd8ccd70d4b12643f6556370d09e1f62e5"},"schema_version":"1.0","source":{"id":"1906.03608","kind":"arxiv","version":1}},"canonical_sha256":"546919d73a3589f73c65651ce533c962a1266029666593b3df861da5a3138575","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"546919d73a3589f73c65651ce533c962a1266029666593b3df861da5a3138575","first_computed_at":"2026-05-17T23:43:47.908500Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:43:47.908500Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sKHEBnIMXP6LpUgOTXlAk9lWYahXKbIDfZWYdgBWTlEAuHLZYgNe/hoFSUfGPnBGC3npWCxfmNJ4+M71vWNwDQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:43:47.909128Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.03608","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8da04ec141d7a1ca1ed92e588431f98f0a2aea49240211d18d02c18d008cc0bf","sha256:5883588c96ed5babde88b3330e00fa4f512cf89d52da22ba9cc1247db37a04f4"],"state_sha256":"edf37b70a693e4b54d184bc1acb2cd44007d341a3384fd25998dcafe7203b1db"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AatTfpd0xniHdVWTM1pgp3aNR7ar8h/5bB0YUnKpR0+JL20jA6tp1sWL5iumCjvZngCHz7NrDVT4NeY+/0MwCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T17:15:09.946242Z","bundle_sha256":"8936ee6e8cdcfd3510795a50aa685c5637fa8f37f9014976424d0e51606e7198"}}