{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:YSUC7TCBZD4FT23QSA7DKPW5EW","short_pith_number":"pith:YSUC7TCB","canonical_record":{"source":{"id":"1707.00415","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-07-03T06:19:31Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"5b0725afd6fd01525b0e55395e5c863be8136ece1bee9a9ad7c004df6c62b05a","abstract_canon_sha256":"02628af1e8803a33a015523971fe38858c25e2d2170390dffb3cf1afee0531b5"},"schema_version":"1.0"},"canonical_sha256":"c4a82fcc41c8f859eb70903e353edd2599f3342edd85eee44313b20ae1c19e90","source":{"kind":"arxiv","id":"1707.00415","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.00415","created_at":"2026-05-18T00:41:03Z"},{"alias_kind":"arxiv_version","alias_value":"1707.00415v1","created_at":"2026-05-18T00:41:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.00415","created_at":"2026-05-18T00:41:03Z"},{"alias_kind":"pith_short_12","alias_value":"YSUC7TCBZD4F","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"YSUC7TCBZD4FT23Q","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"YSUC7TCB","created_at":"2026-05-18T12:31:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:YSUC7TCBZD4FT23QSA7DKPW5EW","target":"record","payload":{"canonical_record":{"source":{"id":"1707.00415","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-07-03T06:19:31Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"5b0725afd6fd01525b0e55395e5c863be8136ece1bee9a9ad7c004df6c62b05a","abstract_canon_sha256":"02628af1e8803a33a015523971fe38858c25e2d2170390dffb3cf1afee0531b5"},"schema_version":"1.0"},"canonical_sha256":"c4a82fcc41c8f859eb70903e353edd2599f3342edd85eee44313b20ae1c19e90","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:41:03.443631Z","signature_b64":"sUDOlp7moyqTeHbWCA3VZPPXZAZDwDbPLPn0xfn5/zMRs5L3sV1734eopHHsOnylA9f9fQi5vOmdvASik1QRDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c4a82fcc41c8f859eb70903e353edd2599f3342edd85eee44313b20ae1c19e90","last_reissued_at":"2026-05-18T00:41:03.442974Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:41:03.442974Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1707.00415","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":"2026-05-18T00:41:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GSK3IF45p+td0Yblri6Wy+oS4Bs/MNaI+GEND/YvfD5ZUO3V6lowPfxHx/IV/0WA9zGS/tnjjQTn1GlB92jqDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T17:00:03.698325Z"},"content_sha256":"67f3d4f241620b2f1c90e4a5f89c5ffa009c783cf5b7d7b808baaa9d40aa3ef1","schema_version":"1.0","event_id":"sha256:67f3d4f241620b2f1c90e4a5f89c5ffa009c783cf5b7d7b808baaa9d40aa3ef1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:YSUC7TCBZD4FT23QSA7DKPW5EW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dual Supervised Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Jiang Bian, Nenghai Yu, Tao Qin, Tie-Yan Liu, Wei Chen, Yingce Xia","submitted_at":"2017-07-03T06:19:31Z","abstract_excerpt":"Many supervised learning tasks are emerged in dual forms, e.g., English-to-French translation vs. French-to-English translation, speech recognition vs. text to speech, and image classification vs. image generation. Two dual tasks have intrinsic connections with each other due to the probabilistic correlation between their models. This connection is, however, not effectively utilized today, since people usually train the models of two dual tasks separately and independently. In this work, we propose training the models of two dual tasks simultaneously, and explicitly exploiting the probabilisti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.00415","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":"2026-05-18T00:41:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gJFbE+TyMjUUfn3T5CsNKuZEXV0F1jqeV69FBwNnxKSGp97Z3GsY0L9fyG/RMderqz4jV7O8+GDo7DXd7KHDBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T17:00:03.698965Z"},"content_sha256":"e6e682c42ee9fc330c4cd64af799180b05c586771bd19d555049c56235ce0438","schema_version":"1.0","event_id":"sha256:e6e682c42ee9fc330c4cd64af799180b05c586771bd19d555049c56235ce0438"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YSUC7TCBZD4FT23QSA7DKPW5EW/bundle.json","state_url":"https://pith.science/pith/YSUC7TCBZD4FT23QSA7DKPW5EW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YSUC7TCBZD4FT23QSA7DKPW5EW/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":"2026-05-26T17:00:03Z","links":{"resolver":"https://pith.science/pith/YSUC7TCBZD4FT23QSA7DKPW5EW","bundle":"https://pith.science/pith/YSUC7TCBZD4FT23QSA7DKPW5EW/bundle.json","state":"https://pith.science/pith/YSUC7TCBZD4FT23QSA7DKPW5EW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YSUC7TCBZD4FT23QSA7DKPW5EW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:YSUC7TCBZD4FT23QSA7DKPW5EW","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":"02628af1e8803a33a015523971fe38858c25e2d2170390dffb3cf1afee0531b5","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-07-03T06:19:31Z","title_canon_sha256":"5b0725afd6fd01525b0e55395e5c863be8136ece1bee9a9ad7c004df6c62b05a"},"schema_version":"1.0","source":{"id":"1707.00415","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.00415","created_at":"2026-05-18T00:41:03Z"},{"alias_kind":"arxiv_version","alias_value":"1707.00415v1","created_at":"2026-05-18T00:41:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.00415","created_at":"2026-05-18T00:41:03Z"},{"alias_kind":"pith_short_12","alias_value":"YSUC7TCBZD4F","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"YSUC7TCBZD4FT23Q","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"YSUC7TCB","created_at":"2026-05-18T12:31:56Z"}],"graph_snapshots":[{"event_id":"sha256:e6e682c42ee9fc330c4cd64af799180b05c586771bd19d555049c56235ce0438","target":"graph","created_at":"2026-05-18T00:41:03Z","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":"Many supervised learning tasks are emerged in dual forms, e.g., English-to-French translation vs. French-to-English translation, speech recognition vs. text to speech, and image classification vs. image generation. Two dual tasks have intrinsic connections with each other due to the probabilistic correlation between their models. This connection is, however, not effectively utilized today, since people usually train the models of two dual tasks separately and independently. In this work, we propose training the models of two dual tasks simultaneously, and explicitly exploiting the probabilisti","authors_text":"Jiang Bian, Nenghai Yu, Tao Qin, Tie-Yan Liu, Wei Chen, Yingce Xia","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-07-03T06:19:31Z","title":"Dual Supervised Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.00415","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":"sha256:67f3d4f241620b2f1c90e4a5f89c5ffa009c783cf5b7d7b808baaa9d40aa3ef1","target":"record","created_at":"2026-05-18T00:41:03Z","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":"02628af1e8803a33a015523971fe38858c25e2d2170390dffb3cf1afee0531b5","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-07-03T06:19:31Z","title_canon_sha256":"5b0725afd6fd01525b0e55395e5c863be8136ece1bee9a9ad7c004df6c62b05a"},"schema_version":"1.0","source":{"id":"1707.00415","kind":"arxiv","version":1}},"canonical_sha256":"c4a82fcc41c8f859eb70903e353edd2599f3342edd85eee44313b20ae1c19e90","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c4a82fcc41c8f859eb70903e353edd2599f3342edd85eee44313b20ae1c19e90","first_computed_at":"2026-05-18T00:41:03.442974Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:41:03.442974Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sUDOlp7moyqTeHbWCA3VZPPXZAZDwDbPLPn0xfn5/zMRs5L3sV1734eopHHsOnylA9f9fQi5vOmdvASik1QRDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:41:03.443631Z","signed_message":"canonical_sha256_bytes"},"source_id":"1707.00415","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:67f3d4f241620b2f1c90e4a5f89c5ffa009c783cf5b7d7b808baaa9d40aa3ef1","sha256:e6e682c42ee9fc330c4cd64af799180b05c586771bd19d555049c56235ce0438"],"state_sha256":"08aa880735ca0abba0282a7e5dc11c856b5487b850e988f728d3e038e04b5c99"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CaiXvnh0ek5nLZIuXY16gPvwuSZ1gW91moY9TTYMFa5Zx5XI2EKIZ7TP5TWH1Uh1twl9j/ncOLS3H2KWgDPiBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T17:00:03.702354Z","bundle_sha256":"c59e40b2935d66e92ac69abbd4d45cc749d36cff174eeadefb3eb1eb5c170777"}}