{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:AMPTEVJLFPNKOSXXO6PU4T4K67","short_pith_number":"pith:AMPTEVJL","canonical_record":{"source":{"id":"1602.06518","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-02-21T11:18:10Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"2dd20483646a2d58d27e0e0ac55e3533dfed1aea9a432b5d30a955dd16057baa","abstract_canon_sha256":"d42a95e83d3b314f29e2c0a2d68f4147adfa6b26e5fb8ea0537dba42ed6de495"},"schema_version":"1.0"},"canonical_sha256":"031f32552b2bdaa74af7779f4e4f8af7f322cddfe37f5ac4a2348095af8bf30d","source":{"kind":"arxiv","id":"1602.06518","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.06518","created_at":"2026-05-18T00:42:48Z"},{"alias_kind":"arxiv_version","alias_value":"1602.06518v4","created_at":"2026-05-18T00:42:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.06518","created_at":"2026-05-18T00:42:48Z"},{"alias_kind":"pith_short_12","alias_value":"AMPTEVJLFPNK","created_at":"2026-05-18T12:30:07Z"},{"alias_kind":"pith_short_16","alias_value":"AMPTEVJLFPNKOSXX","created_at":"2026-05-18T12:30:07Z"},{"alias_kind":"pith_short_8","alias_value":"AMPTEVJL","created_at":"2026-05-18T12:30:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:AMPTEVJLFPNKOSXXO6PU4T4K67","target":"record","payload":{"canonical_record":{"source":{"id":"1602.06518","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-02-21T11:18:10Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"2dd20483646a2d58d27e0e0ac55e3533dfed1aea9a432b5d30a955dd16057baa","abstract_canon_sha256":"d42a95e83d3b314f29e2c0a2d68f4147adfa6b26e5fb8ea0537dba42ed6de495"},"schema_version":"1.0"},"canonical_sha256":"031f32552b2bdaa74af7779f4e4f8af7f322cddfe37f5ac4a2348095af8bf30d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:42:48.974279Z","signature_b64":"7f4KR8xfMvppsEwUFgVJdGgoEpKb1Blgghf3xoRmoG3sZEdz6Yyuu8tBjeMpjpbY4Zdad/jVHw5k+dDHTKqUDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"031f32552b2bdaa74af7779f4e4f8af7f322cddfe37f5ac4a2348095af8bf30d","last_reissued_at":"2026-05-18T00:42:48.973611Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:42:48.973611Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1602.06518","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:42:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1htep/Ftyc7JRgHb29nNx9CY4UTM+mlUucdh0QhsFgQ+GQUtCKGSnOU1b4NHtmmNjwmfrLbmA019offLfZ5vAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T02:06:12.375510Z"},"content_sha256":"9025b6ae302f2ed7e9a51698b447c6637319f616ac83d8583654d3df5aa3e4ad","schema_version":"1.0","event_id":"sha256:9025b6ae302f2ed7e9a51698b447c6637319f616ac83d8583654d3df5aa3e4ad"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:AMPTEVJLFPNKOSXXO6PU4T4K67","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-Task Learning with Labeled and Unlabeled Tasks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Anastasia Pentina, Christoph H. Lampert","submitted_at":"2016-02-21T11:18:10Z","abstract_excerpt":"In multi-task learning, a learner is given a collection of prediction tasks and needs to solve all of them. In contrast to previous work, which required that annotated training data is available for all tasks, we consider a new setting, in which for some tasks, potentially most of them, only unlabeled training data is provided. Consequently, to solve all tasks, information must be transferred between tasks with labels and tasks without labels. Focusing on an instance-based transfer method we analyze two variants of this setting: when the set of labeled tasks is fixed, and when it can be active"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.06518","kind":"arxiv","version":4},"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":"2026-05-18T00:42:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JuyTHV1NSL6d/wuLzy8X31SPH4+4M/WKxLEltb7Q+qpHACYwQswT3DLOlpXMKe1fLM1krb4c/ImDhiWfFClNBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T02:06:12.375852Z"},"content_sha256":"7a143ed6d69a77c7ad2350e7fca90c8972a1902e2215acf749226f8f53fa9e62","schema_version":"1.0","event_id":"sha256:7a143ed6d69a77c7ad2350e7fca90c8972a1902e2215acf749226f8f53fa9e62"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AMPTEVJLFPNKOSXXO6PU4T4K67/bundle.json","state_url":"https://pith.science/pith/AMPTEVJLFPNKOSXXO6PU4T4K67/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AMPTEVJLFPNKOSXXO6PU4T4K67/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":"2026-06-07T02:06:12Z","links":{"resolver":"https://pith.science/pith/AMPTEVJLFPNKOSXXO6PU4T4K67","bundle":"https://pith.science/pith/AMPTEVJLFPNKOSXXO6PU4T4K67/bundle.json","state":"https://pith.science/pith/AMPTEVJLFPNKOSXXO6PU4T4K67/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AMPTEVJLFPNKOSXXO6PU4T4K67/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:AMPTEVJLFPNKOSXXO6PU4T4K67","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":"d42a95e83d3b314f29e2c0a2d68f4147adfa6b26e5fb8ea0537dba42ed6de495","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-02-21T11:18:10Z","title_canon_sha256":"2dd20483646a2d58d27e0e0ac55e3533dfed1aea9a432b5d30a955dd16057baa"},"schema_version":"1.0","source":{"id":"1602.06518","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.06518","created_at":"2026-05-18T00:42:48Z"},{"alias_kind":"arxiv_version","alias_value":"1602.06518v4","created_at":"2026-05-18T00:42:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.06518","created_at":"2026-05-18T00:42:48Z"},{"alias_kind":"pith_short_12","alias_value":"AMPTEVJLFPNK","created_at":"2026-05-18T12:30:07Z"},{"alias_kind":"pith_short_16","alias_value":"AMPTEVJLFPNKOSXX","created_at":"2026-05-18T12:30:07Z"},{"alias_kind":"pith_short_8","alias_value":"AMPTEVJL","created_at":"2026-05-18T12:30:07Z"}],"graph_snapshots":[{"event_id":"sha256:7a143ed6d69a77c7ad2350e7fca90c8972a1902e2215acf749226f8f53fa9e62","target":"graph","created_at":"2026-05-18T00:42:48Z","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":"In multi-task learning, a learner is given a collection of prediction tasks and needs to solve all of them. In contrast to previous work, which required that annotated training data is available for all tasks, we consider a new setting, in which for some tasks, potentially most of them, only unlabeled training data is provided. Consequently, to solve all tasks, information must be transferred between tasks with labels and tasks without labels. Focusing on an instance-based transfer method we analyze two variants of this setting: when the set of labeled tasks is fixed, and when it can be active","authors_text":"Anastasia Pentina, Christoph H. Lampert","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-02-21T11:18:10Z","title":"Multi-Task Learning with Labeled and Unlabeled Tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.06518","kind":"arxiv","version":4},"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":"sha256:9025b6ae302f2ed7e9a51698b447c6637319f616ac83d8583654d3df5aa3e4ad","target":"record","created_at":"2026-05-18T00:42:48Z","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":"d42a95e83d3b314f29e2c0a2d68f4147adfa6b26e5fb8ea0537dba42ed6de495","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-02-21T11:18:10Z","title_canon_sha256":"2dd20483646a2d58d27e0e0ac55e3533dfed1aea9a432b5d30a955dd16057baa"},"schema_version":"1.0","source":{"id":"1602.06518","kind":"arxiv","version":4}},"canonical_sha256":"031f32552b2bdaa74af7779f4e4f8af7f322cddfe37f5ac4a2348095af8bf30d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"031f32552b2bdaa74af7779f4e4f8af7f322cddfe37f5ac4a2348095af8bf30d","first_computed_at":"2026-05-18T00:42:48.973611Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:42:48.973611Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7f4KR8xfMvppsEwUFgVJdGgoEpKb1Blgghf3xoRmoG3sZEdz6Yyuu8tBjeMpjpbY4Zdad/jVHw5k+dDHTKqUDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:42:48.974279Z","signed_message":"canonical_sha256_bytes"},"source_id":"1602.06518","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9025b6ae302f2ed7e9a51698b447c6637319f616ac83d8583654d3df5aa3e4ad","sha256:7a143ed6d69a77c7ad2350e7fca90c8972a1902e2215acf749226f8f53fa9e62"],"state_sha256":"43f74ff5ef55e16da86a113923b79bb7f93431871f65a143761a2cfb0d8f4981"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7KF8vEyA2lKcRxPZi/Kx5hOpUQUVg1+Y+j7JDYRa/hlFfpAm5+MgeQnERR3qdFziyoSCsdDr2bZl20944rXiAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-07T02:06:12.377728Z","bundle_sha256":"e1e8ce451a4dd168fbcb229be1bc7c3e1fe16e58972509561dfa418c6b38b7fe"}}