{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:YP56WFRTNN5HON75XYF4XCSFLX","short_pith_number":"pith:YP56WFRT","canonical_record":{"source":{"id":"2101.05779","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-01-14T18:32:21Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"d9fa1bc9002ae1cbdb2d0e701957ff90f62b0205d03070af6f31f181c3b129b3","abstract_canon_sha256":"d6e9abc0807a2a120b9921daf2056188e5c0a1ac19d7ad192940a0d5e2e0a0ab"},"schema_version":"1.0"},"canonical_sha256":"c3fbeb16336b7a7737fdbe0bcb8a455df0f16f829d55db96b04ce9f7edc99526","source":{"kind":"arxiv","id":"2101.05779","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2101.05779","created_at":"2026-07-05T03:37:10Z"},{"alias_kind":"arxiv_version","alias_value":"2101.05779v3","created_at":"2026-07-05T03:37:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.05779","created_at":"2026-07-05T03:37:10Z"},{"alias_kind":"pith_short_12","alias_value":"YP56WFRTNN5H","created_at":"2026-07-05T03:37:10Z"},{"alias_kind":"pith_short_16","alias_value":"YP56WFRTNN5HON75","created_at":"2026-07-05T03:37:10Z"},{"alias_kind":"pith_short_8","alias_value":"YP56WFRT","created_at":"2026-07-05T03:37:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:YP56WFRTNN5HON75XYF4XCSFLX","target":"record","payload":{"canonical_record":{"source":{"id":"2101.05779","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-01-14T18:32:21Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"d9fa1bc9002ae1cbdb2d0e701957ff90f62b0205d03070af6f31f181c3b129b3","abstract_canon_sha256":"d6e9abc0807a2a120b9921daf2056188e5c0a1ac19d7ad192940a0d5e2e0a0ab"},"schema_version":"1.0"},"canonical_sha256":"c3fbeb16336b7a7737fdbe0bcb8a455df0f16f829d55db96b04ce9f7edc99526","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:37:10.958962Z","signature_b64":"NtVkgqu8OJBaHLC0zpZWef6ykQKIpZ+VBptyzBEknV13AfB0cgWaUdcSVQnvUm1HRpUZ0QnJiDmTWX9pYvQ8AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c3fbeb16336b7a7737fdbe0bcb8a455df0f16f829d55db96b04ce9f7edc99526","last_reissued_at":"2026-07-05T03:37:10.958470Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:37:10.958470Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2101.05779","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:37:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mIplPwy8kp2tNmpFQTUQZY6l6PIDKUZgddisN7DeuYcJhHrpaTTCmUxUHIHYJAZ8ilVs1GHAUddHl8oN/ABsAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-11T14:11:00.023023Z"},"content_sha256":"269ac20ca5d292d6dd3212483f183b7924cd197d29f8e6f2305a23a8626e108a","schema_version":"1.0","event_id":"sha256:269ac20ca5d292d6dd3212483f183b7924cd197d29f8e6f2305a23a8626e108a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:YP56WFRTNN5HON75XYF4XCSFLX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Structured Prediction as Translation between Augmented Natural Languages","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.LG","authors_text":"Alessandro Achille, Ben Athiwaratkun, Bing Xiang, Cicero Nogueira dos Santos, Giovanni Paolini, Jason Krone, Jie Ma, Rishita Anubhai, Stefano Soatto","submitted_at":"2021-01-14T18:32:21Z","abstract_excerpt":"We propose a new framework, Translation between Augmented Natural Languages (TANL), to solve many structured prediction language tasks including joint entity and relation extraction, nested named entity recognition, relation classification, semantic role labeling, event extraction, coreference resolution, and dialogue state tracking. Instead of tackling the problem by training task-specific discriminative classifiers, we frame it as a translation task between augmented natural languages, from which the task-relevant information can be easily extracted. Our approach can match or outperform task"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.05779","kind":"arxiv","version":3},"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/2101.05779/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":"2026-07-05T03:37:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pG9Bk3mUH1THnFrr/Zq7jr7p4BtvIz3MRCHrsYeJITB2gL1sLTBTe9+E+ywLHflchKmkX7r4Pqxhe5jJxQKoDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-11T14:11:00.023417Z"},"content_sha256":"16893377786f09d8aa176d24af9b2863cc7372e0f657fbb60c48681cdd6603b8","schema_version":"1.0","event_id":"sha256:16893377786f09d8aa176d24af9b2863cc7372e0f657fbb60c48681cdd6603b8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YP56WFRTNN5HON75XYF4XCSFLX/bundle.json","state_url":"https://pith.science/pith/YP56WFRTNN5HON75XYF4XCSFLX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YP56WFRTNN5HON75XYF4XCSFLX/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":"2026-07-11T14:11:00Z","links":{"resolver":"https://pith.science/pith/YP56WFRTNN5HON75XYF4XCSFLX","bundle":"https://pith.science/pith/YP56WFRTNN5HON75XYF4XCSFLX/bundle.json","state":"https://pith.science/pith/YP56WFRTNN5HON75XYF4XCSFLX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YP56WFRTNN5HON75XYF4XCSFLX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:YP56WFRTNN5HON75XYF4XCSFLX","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":"d6e9abc0807a2a120b9921daf2056188e5c0a1ac19d7ad192940a0d5e2e0a0ab","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-01-14T18:32:21Z","title_canon_sha256":"d9fa1bc9002ae1cbdb2d0e701957ff90f62b0205d03070af6f31f181c3b129b3"},"schema_version":"1.0","source":{"id":"2101.05779","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2101.05779","created_at":"2026-07-05T03:37:10Z"},{"alias_kind":"arxiv_version","alias_value":"2101.05779v3","created_at":"2026-07-05T03:37:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.05779","created_at":"2026-07-05T03:37:10Z"},{"alias_kind":"pith_short_12","alias_value":"YP56WFRTNN5H","created_at":"2026-07-05T03:37:10Z"},{"alias_kind":"pith_short_16","alias_value":"YP56WFRTNN5HON75","created_at":"2026-07-05T03:37:10Z"},{"alias_kind":"pith_short_8","alias_value":"YP56WFRT","created_at":"2026-07-05T03:37:10Z"}],"graph_snapshots":[{"event_id":"sha256:16893377786f09d8aa176d24af9b2863cc7372e0f657fbb60c48681cdd6603b8","target":"graph","created_at":"2026-07-05T03:37:10Z","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/2101.05779/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a new framework, Translation between Augmented Natural Languages (TANL), to solve many structured prediction language tasks including joint entity and relation extraction, nested named entity recognition, relation classification, semantic role labeling, event extraction, coreference resolution, and dialogue state tracking. Instead of tackling the problem by training task-specific discriminative classifiers, we frame it as a translation task between augmented natural languages, from which the task-relevant information can be easily extracted. Our approach can match or outperform task","authors_text":"Alessandro Achille, Ben Athiwaratkun, Bing Xiang, Cicero Nogueira dos Santos, Giovanni Paolini, Jason Krone, Jie Ma, Rishita Anubhai, Stefano Soatto","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-01-14T18:32:21Z","title":"Structured Prediction as Translation between Augmented Natural Languages"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.05779","kind":"arxiv","version":3},"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":"sha256:269ac20ca5d292d6dd3212483f183b7924cd197d29f8e6f2305a23a8626e108a","target":"record","created_at":"2026-07-05T03:37:10Z","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":"d6e9abc0807a2a120b9921daf2056188e5c0a1ac19d7ad192940a0d5e2e0a0ab","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-01-14T18:32:21Z","title_canon_sha256":"d9fa1bc9002ae1cbdb2d0e701957ff90f62b0205d03070af6f31f181c3b129b3"},"schema_version":"1.0","source":{"id":"2101.05779","kind":"arxiv","version":3}},"canonical_sha256":"c3fbeb16336b7a7737fdbe0bcb8a455df0f16f829d55db96b04ce9f7edc99526","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c3fbeb16336b7a7737fdbe0bcb8a455df0f16f829d55db96b04ce9f7edc99526","first_computed_at":"2026-07-05T03:37:10.958470Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:37:10.958470Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NtVkgqu8OJBaHLC0zpZWef6ykQKIpZ+VBptyzBEknV13AfB0cgWaUdcSVQnvUm1HRpUZ0QnJiDmTWX9pYvQ8AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:37:10.958962Z","signed_message":"canonical_sha256_bytes"},"source_id":"2101.05779","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:269ac20ca5d292d6dd3212483f183b7924cd197d29f8e6f2305a23a8626e108a","sha256:16893377786f09d8aa176d24af9b2863cc7372e0f657fbb60c48681cdd6603b8"],"state_sha256":"62a4580dcc2b9fbd1eacf32806693aa6fc1c8d3aaf9110174f611e67177ba4fe"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2SPueep/59CWI5tDkF9g6Uyne/gbHObiaiwla9Xc4YjT3teDZI1Njx1sS4X/I27TzsbKu1DiYrXwsiWqiFT2CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-11T14:11:00.025673Z","bundle_sha256":"dd22b2a6a887332c72a8d8f4b3a5dc00e6e411d89901112387c4b92844b48e8e"}}