{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:6IADLNR3WGFEATRHL7XHNNEOKF","short_pith_number":"pith:6IADLNR3","canonical_record":{"source":{"id":"2104.04697","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-04-10T06:53:41Z","cross_cats_sorted":["cs.IR","cs.LG"],"title_canon_sha256":"611cfc08a0db94730f022c8fa2d490b66d09fcae1d8bb28b40c89c22a589c6d9","abstract_canon_sha256":"d3efa6ae340812e6d2490494c2a2bcd416720f0ae26a1bcdd0500d44b316733f"},"schema_version":"1.0"},"canonical_sha256":"f20035b63bb18a404e275fee76b48e5173220f96b727cf253ea295414daff5fd","source":{"kind":"arxiv","id":"2104.04697","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.04697","created_at":"2026-07-05T02:30:46Z"},{"alias_kind":"arxiv_version","alias_value":"2104.04697v1","created_at":"2026-07-05T02:30:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.04697","created_at":"2026-07-05T02:30:46Z"},{"alias_kind":"pith_short_12","alias_value":"6IADLNR3WGFE","created_at":"2026-07-05T02:30:46Z"},{"alias_kind":"pith_short_16","alias_value":"6IADLNR3WGFEATRH","created_at":"2026-07-05T02:30:46Z"},{"alias_kind":"pith_short_8","alias_value":"6IADLNR3","created_at":"2026-07-05T02:30:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:6IADLNR3WGFEATRHL7XHNNEOKF","target":"record","payload":{"canonical_record":{"source":{"id":"2104.04697","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-04-10T06:53:41Z","cross_cats_sorted":["cs.IR","cs.LG"],"title_canon_sha256":"611cfc08a0db94730f022c8fa2d490b66d09fcae1d8bb28b40c89c22a589c6d9","abstract_canon_sha256":"d3efa6ae340812e6d2490494c2a2bcd416720f0ae26a1bcdd0500d44b316733f"},"schema_version":"1.0"},"canonical_sha256":"f20035b63bb18a404e275fee76b48e5173220f96b727cf253ea295414daff5fd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:30:46.553171Z","signature_b64":"c8xlpMBJhr1OaHAH6A1Ju4wGtXgNe6J5L0tt7KXpXNIkzoXvdImJ7p8tpVVm7ZzcfdL2VU8c23tdop9VDvJBAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f20035b63bb18a404e275fee76b48e5173220f96b727cf253ea295414daff5fd","last_reissued_at":"2026-07-05T02:30:46.552767Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:30:46.552767Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2104.04697","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":"2026-07-05T02:30:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OyLjRziG2M6YFkfikN0iMx/O3rRJlrlvNoBT7iKFFkFhW04CujTzfrSv8ENJj7ZBk+FbcSRKqd+/2nVKzbKkCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T15:51:46.081922Z"},"content_sha256":"c303ac5bf0e0cd803ffe22eea6acf1330a0981aec0c124520c3c9e7fb0d650d8","schema_version":"1.0","event_id":"sha256:c303ac5bf0e0cd803ffe22eea6acf1330a0981aec0c124520c3c9e7fb0d650d8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:6IADLNR3WGFEATRHL7XHNNEOKF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IR","cs.LG"],"primary_cat":"cs.CL","authors_text":"Cheng-Te Li, Chih-Yao Chen","submitted_at":"2021-04-10T06:53:41Z","abstract_excerpt":"While relation extraction is an essential task in knowledge acquisition and representation, and new-generated relations are common in the real world, less effort is made to predict unseen relations that cannot be observed at the training stage. In this paper, we formulate the zero-shot relation extraction problem by incorporating the text description of seen and unseen relations. We propose a novel multi-task learning model, zero-shot BERT (ZS-BERT), to directly predict unseen relations without hand-crafted attribute labeling and multiple pairwise classifications. Given training instances cons"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.04697","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2104.04697/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T02:30:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tYdylMXZSS2nHa4894yln6FB+YKsHXCZbuo8sBb6F25NzmZBea21/102g0T2zpGaP1/vDm20pTVvhwFLYGcXDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T15:51:46.082471Z"},"content_sha256":"9339514f18d185830d0aceb3568dd8c57a84309ee75674817a4b96a2db294aa9","schema_version":"1.0","event_id":"sha256:9339514f18d185830d0aceb3568dd8c57a84309ee75674817a4b96a2db294aa9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6IADLNR3WGFEATRHL7XHNNEOKF/bundle.json","state_url":"https://pith.science/pith/6IADLNR3WGFEATRHL7XHNNEOKF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6IADLNR3WGFEATRHL7XHNNEOKF/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":"2026-08-08T15:51:46Z","links":{"resolver":"https://pith.science/pith/6IADLNR3WGFEATRHL7XHNNEOKF","bundle":"https://pith.science/pith/6IADLNR3WGFEATRHL7XHNNEOKF/bundle.json","state":"https://pith.science/pith/6IADLNR3WGFEATRHL7XHNNEOKF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6IADLNR3WGFEATRHL7XHNNEOKF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:6IADLNR3WGFEATRHL7XHNNEOKF","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":"d3efa6ae340812e6d2490494c2a2bcd416720f0ae26a1bcdd0500d44b316733f","cross_cats_sorted":["cs.IR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-04-10T06:53:41Z","title_canon_sha256":"611cfc08a0db94730f022c8fa2d490b66d09fcae1d8bb28b40c89c22a589c6d9"},"schema_version":"1.0","source":{"id":"2104.04697","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.04697","created_at":"2026-07-05T02:30:46Z"},{"alias_kind":"arxiv_version","alias_value":"2104.04697v1","created_at":"2026-07-05T02:30:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.04697","created_at":"2026-07-05T02:30:46Z"},{"alias_kind":"pith_short_12","alias_value":"6IADLNR3WGFE","created_at":"2026-07-05T02:30:46Z"},{"alias_kind":"pith_short_16","alias_value":"6IADLNR3WGFEATRH","created_at":"2026-07-05T02:30:46Z"},{"alias_kind":"pith_short_8","alias_value":"6IADLNR3","created_at":"2026-07-05T02:30:46Z"}],"graph_snapshots":[{"event_id":"sha256:9339514f18d185830d0aceb3568dd8c57a84309ee75674817a4b96a2db294aa9","target":"graph","created_at":"2026-07-05T02:30:46Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2104.04697/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While relation extraction is an essential task in knowledge acquisition and representation, and new-generated relations are common in the real world, less effort is made to predict unseen relations that cannot be observed at the training stage. In this paper, we formulate the zero-shot relation extraction problem by incorporating the text description of seen and unseen relations. We propose a novel multi-task learning model, zero-shot BERT (ZS-BERT), to directly predict unseen relations without hand-crafted attribute labeling and multiple pairwise classifications. Given training instances cons","authors_text":"Cheng-Te Li, Chih-Yao Chen","cross_cats":["cs.IR","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-04-10T06:53:41Z","title":"ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.04697","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:c303ac5bf0e0cd803ffe22eea6acf1330a0981aec0c124520c3c9e7fb0d650d8","target":"record","created_at":"2026-07-05T02:30:46Z","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":"d3efa6ae340812e6d2490494c2a2bcd416720f0ae26a1bcdd0500d44b316733f","cross_cats_sorted":["cs.IR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-04-10T06:53:41Z","title_canon_sha256":"611cfc08a0db94730f022c8fa2d490b66d09fcae1d8bb28b40c89c22a589c6d9"},"schema_version":"1.0","source":{"id":"2104.04697","kind":"arxiv","version":1}},"canonical_sha256":"f20035b63bb18a404e275fee76b48e5173220f96b727cf253ea295414daff5fd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f20035b63bb18a404e275fee76b48e5173220f96b727cf253ea295414daff5fd","first_computed_at":"2026-07-05T02:30:46.552767Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:30:46.552767Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"c8xlpMBJhr1OaHAH6A1Ju4wGtXgNe6J5L0tt7KXpXNIkzoXvdImJ7p8tpVVm7ZzcfdL2VU8c23tdop9VDvJBAA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:30:46.553171Z","signed_message":"canonical_sha256_bytes"},"source_id":"2104.04697","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c303ac5bf0e0cd803ffe22eea6acf1330a0981aec0c124520c3c9e7fb0d650d8","sha256:9339514f18d185830d0aceb3568dd8c57a84309ee75674817a4b96a2db294aa9"],"state_sha256":"8b0445e626370bdef53956f8775aae1f9c71a79f5898d79a7e2c0110f64f44bf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aH40Ydd0iZM0hfh3o9SKsCPmkKIsR9uWYcuGZPywMGkkab79NoYIrbYS5s+KWlg1LlcpMB41VIquzBbI1d6bDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T15:51:46.086852Z","bundle_sha256":"ef0b32529575cff37d081aeda01ec931654e5c9d2875709e338e8c1acec14a98"}}