{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:F3VZQ5IMFLZSSAXWVNI667ZNKJ","short_pith_number":"pith:F3VZQ5IM","canonical_record":{"source":{"id":"1906.03158","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-07T15:26:50Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"9b29cb387156f8c9baa1e64d45456bd4f9717452cd3f09c8f58c0ee6f177787e","abstract_canon_sha256":"1c5b22fb9cc5f218dfcd7cbb7e7bfc64b4d5055a39348bec55b7a66840f49c67"},"schema_version":"1.0"},"canonical_sha256":"2eeb98750c2af32902f6ab51ef7f2d52414f8be4bf12eeb6b1d435e999f48ad4","source":{"kind":"arxiv","id":"1906.03158","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.03158","created_at":"2026-05-17T23:43:54Z"},{"alias_kind":"arxiv_version","alias_value":"1906.03158v1","created_at":"2026-05-17T23:43:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.03158","created_at":"2026-05-17T23:43:54Z"},{"alias_kind":"pith_short_12","alias_value":"F3VZQ5IMFLZS","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"F3VZQ5IMFLZSSAXW","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"F3VZQ5IM","created_at":"2026-05-18T12:33:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:F3VZQ5IMFLZSSAXWVNI667ZNKJ","target":"record","payload":{"canonical_record":{"source":{"id":"1906.03158","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-07T15:26:50Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"9b29cb387156f8c9baa1e64d45456bd4f9717452cd3f09c8f58c0ee6f177787e","abstract_canon_sha256":"1c5b22fb9cc5f218dfcd7cbb7e7bfc64b4d5055a39348bec55b7a66840f49c67"},"schema_version":"1.0"},"canonical_sha256":"2eeb98750c2af32902f6ab51ef7f2d52414f8be4bf12eeb6b1d435e999f48ad4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:43:54.829676Z","signature_b64":"iS3jha+lQDjd4oJp37BZTJ3DKTzJLrpYEG+Um/eZoXpLqpHrnxLQs7raHqL9Jz70Vny3RAOhScT5tPy4f8WjAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2eeb98750c2af32902f6ab51ef7f2d52414f8be4bf12eeb6b1d435e999f48ad4","last_reissued_at":"2026-05-17T23:43:54.828993Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:43:54.828993Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.03158","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":"2026-05-17T23:43:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NFc0A21qVnKYTICoPmV2NyHJW+ghermqF1uRDeyFhrIOkH/siJpkbtA/eT0a2NV3BKIrhwQG21sBSnVc0Or5Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T06:33:10.381257Z"},"content_sha256":"e9ede2eaa2d9eb373d8c87a24ce404d0069f6b28af9b2dd336d85fa571c1e3af","schema_version":"1.0","event_id":"sha256:e9ede2eaa2d9eb373d8c87a24ce404d0069f6b28af9b2dd336d85fa571c1e3af"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:F3VZQ5IMFLZSSAXWVNI667ZNKJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Matching the Blanks: Distributional Similarity for Relation Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Jeffrey Ling, Livio Baldini Soares, Nicholas FitzGerald, Tom Kwiatkowski","submitted_at":"2019-06-07T15:26:50Z","abstract_excerpt":"General purpose relation extractors, which can model arbitrary relations, are a core aspiration in information extraction. Efforts have been made to build general purpose extractors that represent relations with their surface forms, or which jointly embed surface forms with relations from an existing knowledge graph. However, both of these approaches are limited in their ability to generalize. In this paper, we build on extensions of Harris' distributional hypothesis to relations, as well as recent advances in learning text representations (specifically, BERT), to build task agnostic relation "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.03158","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":"2026-05-17T23:43:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jKd3Z4bsI2GZ6tvtBRifbb+txX+k6YerleQi+2nS22QRVPIUj9Snre68J3vfIvYraqFVF2HmCbQ8GkiTLp9MDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T06:33:10.381926Z"},"content_sha256":"2df16008fb9213626c6167a064b03197b9290f2c95469c814c218e01711baa39","schema_version":"1.0","event_id":"sha256:2df16008fb9213626c6167a064b03197b9290f2c95469c814c218e01711baa39"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F3VZQ5IMFLZSSAXWVNI667ZNKJ/bundle.json","state_url":"https://pith.science/pith/F3VZQ5IMFLZSSAXWVNI667ZNKJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F3VZQ5IMFLZSSAXWVNI667ZNKJ/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":"2026-05-27T06:33:10Z","links":{"resolver":"https://pith.science/pith/F3VZQ5IMFLZSSAXWVNI667ZNKJ","bundle":"https://pith.science/pith/F3VZQ5IMFLZSSAXWVNI667ZNKJ/bundle.json","state":"https://pith.science/pith/F3VZQ5IMFLZSSAXWVNI667ZNKJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F3VZQ5IMFLZSSAXWVNI667ZNKJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:F3VZQ5IMFLZSSAXWVNI667ZNKJ","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":"1c5b22fb9cc5f218dfcd7cbb7e7bfc64b4d5055a39348bec55b7a66840f49c67","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-07T15:26:50Z","title_canon_sha256":"9b29cb387156f8c9baa1e64d45456bd4f9717452cd3f09c8f58c0ee6f177787e"},"schema_version":"1.0","source":{"id":"1906.03158","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.03158","created_at":"2026-05-17T23:43:54Z"},{"alias_kind":"arxiv_version","alias_value":"1906.03158v1","created_at":"2026-05-17T23:43:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.03158","created_at":"2026-05-17T23:43:54Z"},{"alias_kind":"pith_short_12","alias_value":"F3VZQ5IMFLZS","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"F3VZQ5IMFLZSSAXW","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"F3VZQ5IM","created_at":"2026-05-18T12:33:15Z"}],"graph_snapshots":[{"event_id":"sha256:2df16008fb9213626c6167a064b03197b9290f2c95469c814c218e01711baa39","target":"graph","created_at":"2026-05-17T23:43:54Z","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":"General purpose relation extractors, which can model arbitrary relations, are a core aspiration in information extraction. Efforts have been made to build general purpose extractors that represent relations with their surface forms, or which jointly embed surface forms with relations from an existing knowledge graph. However, both of these approaches are limited in their ability to generalize. In this paper, we build on extensions of Harris' distributional hypothesis to relations, as well as recent advances in learning text representations (specifically, BERT), to build task agnostic relation ","authors_text":"Jeffrey Ling, Livio Baldini Soares, Nicholas FitzGerald, Tom Kwiatkowski","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-07T15:26:50Z","title":"Matching the Blanks: Distributional Similarity for Relation Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.03158","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:e9ede2eaa2d9eb373d8c87a24ce404d0069f6b28af9b2dd336d85fa571c1e3af","target":"record","created_at":"2026-05-17T23:43:54Z","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":"1c5b22fb9cc5f218dfcd7cbb7e7bfc64b4d5055a39348bec55b7a66840f49c67","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-07T15:26:50Z","title_canon_sha256":"9b29cb387156f8c9baa1e64d45456bd4f9717452cd3f09c8f58c0ee6f177787e"},"schema_version":"1.0","source":{"id":"1906.03158","kind":"arxiv","version":1}},"canonical_sha256":"2eeb98750c2af32902f6ab51ef7f2d52414f8be4bf12eeb6b1d435e999f48ad4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2eeb98750c2af32902f6ab51ef7f2d52414f8be4bf12eeb6b1d435e999f48ad4","first_computed_at":"2026-05-17T23:43:54.828993Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:43:54.828993Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iS3jha+lQDjd4oJp37BZTJ3DKTzJLrpYEG+Um/eZoXpLqpHrnxLQs7raHqL9Jz70Vny3RAOhScT5tPy4f8WjAQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:43:54.829676Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.03158","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e9ede2eaa2d9eb373d8c87a24ce404d0069f6b28af9b2dd336d85fa571c1e3af","sha256:2df16008fb9213626c6167a064b03197b9290f2c95469c814c218e01711baa39"],"state_sha256":"fe23db3743ee8347bf7d92a544d72aaf414ca92dccda68b72d1e8e068a841c4e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FcnTxsDaJmcKTjNgTzhVeSBgoc4jDQvtjlUqIbflpp38xvIb6VFiJObufRLUS5GFz1wTmhUnOZ3/gjvWkpB4Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T06:33:10.385265Z","bundle_sha256":"02b6198c26953155863305e42763593bd2269ea3c09b704c752852c824d53454"}}