{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:TXYEL3MIET7EMRVCFD6ANLZOCQ","short_pith_number":"pith:TXYEL3MI","canonical_record":{"source":{"id":"1810.06195","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-10-15T06:30:04Z","cross_cats_sorted":[],"title_canon_sha256":"83c604987c913c10bdcb1e181d6b28007bd469a0fb82fb2cc21c9c25611602c7","abstract_canon_sha256":"bc9c970c01bd55f57ca02ab413d74709703026b51c4c13892a08bb021aed3d53"},"schema_version":"1.0"},"canonical_sha256":"9df045ed8824fe4646a228fc06af2e1431efebe3cc1b17d7f80100bba567a176","source":{"kind":"arxiv","id":"1810.06195","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.06195","created_at":"2026-05-18T00:03:21Z"},{"alias_kind":"arxiv_version","alias_value":"1810.06195v1","created_at":"2026-05-18T00:03:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.06195","created_at":"2026-05-18T00:03:21Z"},{"alias_kind":"pith_short_12","alias_value":"TXYEL3MIET7E","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_16","alias_value":"TXYEL3MIET7EMRVC","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_8","alias_value":"TXYEL3MI","created_at":"2026-05-18T12:32:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:TXYEL3MIET7EMRVCFD6ANLZOCQ","target":"record","payload":{"canonical_record":{"source":{"id":"1810.06195","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-10-15T06:30:04Z","cross_cats_sorted":[],"title_canon_sha256":"83c604987c913c10bdcb1e181d6b28007bd469a0fb82fb2cc21c9c25611602c7","abstract_canon_sha256":"bc9c970c01bd55f57ca02ab413d74709703026b51c4c13892a08bb021aed3d53"},"schema_version":"1.0"},"canonical_sha256":"9df045ed8824fe4646a228fc06af2e1431efebe3cc1b17d7f80100bba567a176","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:03:21.173982Z","signature_b64":"98i5GY+tZG1ZcV+8aXYuKiFu3TgPpqxkojZfv6e97jXo93p5Ji5eQ73FdyTGTCZ7TTfpMP2WRCy+jyI8f5HyBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9df045ed8824fe4646a228fc06af2e1431efebe3cc1b17d7f80100bba567a176","last_reissued_at":"2026-05-18T00:03:21.173499Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:03:21.173499Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1810.06195","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":"2026-05-18T00:03:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7L4K4huT8Jqz/aroSNBan+J3SDCgjCLQWNjGxxdpYXxM5A5GY0ZbRSLB7iyZG+eLabskubN5CN0NqXF7YTWxDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T10:14:08.639065Z"},"content_sha256":"1e83dda45a63cf15f0548b35fe718eaf62e6071efa987b11eff41ba792b17680","schema_version":"1.0","event_id":"sha256:1e83dda45a63cf15f0548b35fe718eaf62e6071efa987b11eff41ba792b17680"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:TXYEL3MIET7EMRVCFD6ANLZOCQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Andy Way, Longyue Wang, Qun Liu, Zhaopeng Tu","submitted_at":"2018-10-15T06:30:04Z","abstract_excerpt":"Pronouns are frequently omitted in pro-drop languages, such as Chinese, generally leading to significant challenges with respect to the production of complete translations. Recently, Wang et al. (2018) proposed a novel reconstruction-based approach to alleviating dropped pronoun (DP) translation problems for neural machine translation models. In this work, we improve the original model from two perspectives. First, we employ a shared reconstructor to better exploit encoder and decoder representations. Second, we jointly learn to translate and predict DPs in an end-to-end manner, to avoid the e"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.06195","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":"2026-05-18T00:03:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J1wllXEZXQGRVK7wToZmqJ/Luow/SsbyKWormuTjqEzGRbmLUyifFkUl1iVPFerRoZM1fzBSxZ+U06JSnFozBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T10:14:08.639406Z"},"content_sha256":"7ca5fb6962a72bc9492c53df0eb7bedf8af00f15d777119cd458484e6b5b5ee0","schema_version":"1.0","event_id":"sha256:7ca5fb6962a72bc9492c53df0eb7bedf8af00f15d777119cd458484e6b5b5ee0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TXYEL3MIET7EMRVCFD6ANLZOCQ/bundle.json","state_url":"https://pith.science/pith/TXYEL3MIET7EMRVCFD6ANLZOCQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TXYEL3MIET7EMRVCFD6ANLZOCQ/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":"2026-08-13T10:14:08Z","links":{"resolver":"https://pith.science/pith/TXYEL3MIET7EMRVCFD6ANLZOCQ","bundle":"https://pith.science/pith/TXYEL3MIET7EMRVCFD6ANLZOCQ/bundle.json","state":"https://pith.science/pith/TXYEL3MIET7EMRVCFD6ANLZOCQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TXYEL3MIET7EMRVCFD6ANLZOCQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:TXYEL3MIET7EMRVCFD6ANLZOCQ","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":"bc9c970c01bd55f57ca02ab413d74709703026b51c4c13892a08bb021aed3d53","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-10-15T06:30:04Z","title_canon_sha256":"83c604987c913c10bdcb1e181d6b28007bd469a0fb82fb2cc21c9c25611602c7"},"schema_version":"1.0","source":{"id":"1810.06195","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.06195","created_at":"2026-05-18T00:03:21Z"},{"alias_kind":"arxiv_version","alias_value":"1810.06195v1","created_at":"2026-05-18T00:03:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.06195","created_at":"2026-05-18T00:03:21Z"},{"alias_kind":"pith_short_12","alias_value":"TXYEL3MIET7E","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_16","alias_value":"TXYEL3MIET7EMRVC","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_8","alias_value":"TXYEL3MI","created_at":"2026-05-18T12:32:56Z"}],"graph_snapshots":[{"event_id":"sha256:7ca5fb6962a72bc9492c53df0eb7bedf8af00f15d777119cd458484e6b5b5ee0","target":"graph","created_at":"2026-05-18T00:03:21Z","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":"Pronouns are frequently omitted in pro-drop languages, such as Chinese, generally leading to significant challenges with respect to the production of complete translations. Recently, Wang et al. (2018) proposed a novel reconstruction-based approach to alleviating dropped pronoun (DP) translation problems for neural machine translation models. In this work, we improve the original model from two perspectives. First, we employ a shared reconstructor to better exploit encoder and decoder representations. Second, we jointly learn to translate and predict DPs in an end-to-end manner, to avoid the e","authors_text":"Andy Way, Longyue Wang, Qun Liu, Zhaopeng Tu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-10-15T06:30:04Z","title":"Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.06195","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":"sha256:1e83dda45a63cf15f0548b35fe718eaf62e6071efa987b11eff41ba792b17680","target":"record","created_at":"2026-05-18T00:03:21Z","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":"bc9c970c01bd55f57ca02ab413d74709703026b51c4c13892a08bb021aed3d53","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-10-15T06:30:04Z","title_canon_sha256":"83c604987c913c10bdcb1e181d6b28007bd469a0fb82fb2cc21c9c25611602c7"},"schema_version":"1.0","source":{"id":"1810.06195","kind":"arxiv","version":1}},"canonical_sha256":"9df045ed8824fe4646a228fc06af2e1431efebe3cc1b17d7f80100bba567a176","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9df045ed8824fe4646a228fc06af2e1431efebe3cc1b17d7f80100bba567a176","first_computed_at":"2026-05-18T00:03:21.173499Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:03:21.173499Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"98i5GY+tZG1ZcV+8aXYuKiFu3TgPpqxkojZfv6e97jXo93p5Ji5eQ73FdyTGTCZ7TTfpMP2WRCy+jyI8f5HyBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:03:21.173982Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.06195","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1e83dda45a63cf15f0548b35fe718eaf62e6071efa987b11eff41ba792b17680","sha256:7ca5fb6962a72bc9492c53df0eb7bedf8af00f15d777119cd458484e6b5b5ee0"],"state_sha256":"fbfac9fc97929561ec9be47cd2b75150cc74f80ed8e921a5dea6baae3c4e6f4f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"I3c6fgQaMcs5iPjUlxULGdiIkceem4bWRIspzOgRxRUTgLDY6x4QNCNITqgQ1h3EU0G4Ez+ke9ed3JEzvOTuCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T10:14:08.642128Z","bundle_sha256":"62448bfaa15f0a93a76c0ef5b5300f9d5ad46e8462d11322e18e3085c1f61e9d"}}