{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:VEKSGUSWWASBW755DOBAT6H2MX","short_pith_number":"pith:VEKSGUSW","canonical_record":{"source":{"id":"2210.07270","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-13T18:05:51Z","cross_cats_sorted":[],"title_canon_sha256":"25f8cc403034ce55a882ae016fb2a3199fa46ca6079b7855f7ed036fe884cc48","abstract_canon_sha256":"ab76ed9750fe3d6699092d99affaaa8cdfb177b854168b7c741d8e45557e9d1c"},"schema_version":"1.0"},"canonical_sha256":"a915235256b0241b7fbd1b8209f8fa65c0044dc59022079039a6bb8fd93ac86a","source":{"kind":"arxiv","id":"2210.07270","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.07270","created_at":"2026-07-05T05:06:35Z"},{"alias_kind":"arxiv_version","alias_value":"2210.07270v1","created_at":"2026-07-05T05:06:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.07270","created_at":"2026-07-05T05:06:35Z"},{"alias_kind":"pith_short_12","alias_value":"VEKSGUSWWASB","created_at":"2026-07-05T05:06:35Z"},{"alias_kind":"pith_short_16","alias_value":"VEKSGUSWWASBW755","created_at":"2026-07-05T05:06:35Z"},{"alias_kind":"pith_short_8","alias_value":"VEKSGUSW","created_at":"2026-07-05T05:06:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:VEKSGUSWWASBW755DOBAT6H2MX","target":"record","payload":{"canonical_record":{"source":{"id":"2210.07270","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-13T18:05:51Z","cross_cats_sorted":[],"title_canon_sha256":"25f8cc403034ce55a882ae016fb2a3199fa46ca6079b7855f7ed036fe884cc48","abstract_canon_sha256":"ab76ed9750fe3d6699092d99affaaa8cdfb177b854168b7c741d8e45557e9d1c"},"schema_version":"1.0"},"canonical_sha256":"a915235256b0241b7fbd1b8209f8fa65c0044dc59022079039a6bb8fd93ac86a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:06:35.417061Z","signature_b64":"D16DnVEM9413a2hQfyDyHTIguwMDU96fWBkLkOl0G8LBxqOzP/O/KRZOuuHoJKur05HXoG89drwDH+Y+n7/wAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a915235256b0241b7fbd1b8209f8fa65c0044dc59022079039a6bb8fd93ac86a","last_reissued_at":"2026-07-05T05:06:35.416731Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:06:35.416731Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.07270","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":"2026-07-05T05:06:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cKKVIMe4tK6yEWcjFV51LnpQMR7gB9w7APngE4u7SUupD1a7fF2Sssoo9nkZlOZijyOoya3jDNx5y8EzXSQxDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T16:12:56.756721Z"},"content_sha256":"b3f971cc38857d44ad7b914098a794dbd619ac7b3f25714a57c24441b46f1426","schema_version":"1.0","event_id":"sha256:b3f971cc38857d44ad7b914098a794dbd619ac7b3f25714a57c24441b46f1426"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:VEKSGUSWWASBW755DOBAT6H2MX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-Task Learning for Joint Semantic Role and Proto-Role Labeling","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Aashish Arora, Asad Sayeed, Daniel Bauer, Harshitha Malireddi, Yuval Marton","submitted_at":"2022-10-13T18:05:51Z","abstract_excerpt":"We put forward an end-to-end multi-step machine learning model which jointly labels semantic roles and the proto-roles of Dowty (1991), given a sentence and the predicates therein. Our best architecture first learns argument spans followed by learning the argument's syntactic heads. This information is shared with the next steps for predicting the semantic roles and proto-roles. We also experiment with transfer learning from argument and head prediction to role and proto-role labeling. We compare using static and contextual embeddings for words, arguments, and sentences. Unlike previous work, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.07270","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/2210.07270/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":"2026-07-05T05:06:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HDPKsZb/IDzZNqvP3qu/3WC72/maz8B+Hs8Qmf74BAYMlYE3fHmwpSdb287bTC5ZNsXxsO6j6xlgGUNug1dVCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T16:12:56.757225Z"},"content_sha256":"c8000b9714cbbee5c34560f54583918ef818ca347c725dd691c277c33fe313e5","schema_version":"1.0","event_id":"sha256:c8000b9714cbbee5c34560f54583918ef818ca347c725dd691c277c33fe313e5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VEKSGUSWWASBW755DOBAT6H2MX/bundle.json","state_url":"https://pith.science/pith/VEKSGUSWWASBW755DOBAT6H2MX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VEKSGUSWWASBW755DOBAT6H2MX/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":"2026-08-04T16:12:56Z","links":{"resolver":"https://pith.science/pith/VEKSGUSWWASBW755DOBAT6H2MX","bundle":"https://pith.science/pith/VEKSGUSWWASBW755DOBAT6H2MX/bundle.json","state":"https://pith.science/pith/VEKSGUSWWASBW755DOBAT6H2MX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VEKSGUSWWASBW755DOBAT6H2MX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:VEKSGUSWWASBW755DOBAT6H2MX","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":"ab76ed9750fe3d6699092d99affaaa8cdfb177b854168b7c741d8e45557e9d1c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-13T18:05:51Z","title_canon_sha256":"25f8cc403034ce55a882ae016fb2a3199fa46ca6079b7855f7ed036fe884cc48"},"schema_version":"1.0","source":{"id":"2210.07270","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.07270","created_at":"2026-07-05T05:06:35Z"},{"alias_kind":"arxiv_version","alias_value":"2210.07270v1","created_at":"2026-07-05T05:06:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.07270","created_at":"2026-07-05T05:06:35Z"},{"alias_kind":"pith_short_12","alias_value":"VEKSGUSWWASB","created_at":"2026-07-05T05:06:35Z"},{"alias_kind":"pith_short_16","alias_value":"VEKSGUSWWASBW755","created_at":"2026-07-05T05:06:35Z"},{"alias_kind":"pith_short_8","alias_value":"VEKSGUSW","created_at":"2026-07-05T05:06:35Z"}],"graph_snapshots":[{"event_id":"sha256:c8000b9714cbbee5c34560f54583918ef818ca347c725dd691c277c33fe313e5","target":"graph","created_at":"2026-07-05T05:06:35Z","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/2210.07270/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We put forward an end-to-end multi-step machine learning model which jointly labels semantic roles and the proto-roles of Dowty (1991), given a sentence and the predicates therein. Our best architecture first learns argument spans followed by learning the argument's syntactic heads. This information is shared with the next steps for predicting the semantic roles and proto-roles. We also experiment with transfer learning from argument and head prediction to role and proto-role labeling. We compare using static and contextual embeddings for words, arguments, and sentences. Unlike previous work, ","authors_text":"Aashish Arora, Asad Sayeed, Daniel Bauer, Harshitha Malireddi, Yuval Marton","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-13T18:05:51Z","title":"Multi-Task Learning for Joint Semantic Role and Proto-Role Labeling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.07270","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:b3f971cc38857d44ad7b914098a794dbd619ac7b3f25714a57c24441b46f1426","target":"record","created_at":"2026-07-05T05:06:35Z","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":"ab76ed9750fe3d6699092d99affaaa8cdfb177b854168b7c741d8e45557e9d1c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-13T18:05:51Z","title_canon_sha256":"25f8cc403034ce55a882ae016fb2a3199fa46ca6079b7855f7ed036fe884cc48"},"schema_version":"1.0","source":{"id":"2210.07270","kind":"arxiv","version":1}},"canonical_sha256":"a915235256b0241b7fbd1b8209f8fa65c0044dc59022079039a6bb8fd93ac86a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a915235256b0241b7fbd1b8209f8fa65c0044dc59022079039a6bb8fd93ac86a","first_computed_at":"2026-07-05T05:06:35.416731Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:06:35.416731Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"D16DnVEM9413a2hQfyDyHTIguwMDU96fWBkLkOl0G8LBxqOzP/O/KRZOuuHoJKur05HXoG89drwDH+Y+n7/wAA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:06:35.417061Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.07270","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b3f971cc38857d44ad7b914098a794dbd619ac7b3f25714a57c24441b46f1426","sha256:c8000b9714cbbee5c34560f54583918ef818ca347c725dd691c277c33fe313e5"],"state_sha256":"c082caba7229758c11de6da7c00a8a61fb0c1b1f402f007f1208af636817a5fc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"61DqcuRIvhoNa5v/Z+9jSt2dnHTA2Ycwl9ixi8MJ+YY2Hzi+jPu3uRWT53FlD5PUBjmb6nFQP6VQCOovR/0UBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T16:12:56.761365Z","bundle_sha256":"5515487134ec6fb32aa0a89af2da92fc1f05b14cf348277774a235fa5e87a8d0"}}