{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:XQXBCMC54PJZKVIV4FNUNCPQ2R","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":"16a743ba15f7bfbad68f508a556e89f9e4670724294fb94e6e37d892dac0a5ee","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-05-02T23:43:52Z","title_canon_sha256":"73551a46a297cb12ed178cd62f386a538c7895b820224980f499d3e69bad02be"},"schema_version":"1.0","source":{"id":"2005.00944","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.00944","created_at":"2026-07-05T01:00:02Z"},{"alias_kind":"arxiv_version","alias_value":"2005.00944v1","created_at":"2026-07-05T01:00:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.00944","created_at":"2026-07-05T01:00:02Z"},{"alias_kind":"pith_short_12","alias_value":"XQXBCMC54PJZ","created_at":"2026-07-05T01:00:02Z"},{"alias_kind":"pith_short_16","alias_value":"XQXBCMC54PJZKVIV","created_at":"2026-07-05T01:00:02Z"},{"alias_kind":"pith_short_8","alias_value":"XQXBCMC5","created_at":"2026-07-05T01:00:02Z"}],"graph_snapshots":[{"event_id":"sha256:6b853e849d6f20ccbbeafcb882bebb6b02b1b542da846da8b5d694a731f0802d","target":"graph","created_at":"2026-07-05T01:00:02Z","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/2005.00944/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We investigate multi-task learning approaches that use a shared feature representation for all tasks. To better understand the transfer of task information, we study an architecture with a shared module for all tasks and a separate output module for each task. We study the theory of this setting on linear and ReLU-activated models. Our key observation is that whether or not tasks' data are well-aligned can significantly affect the performance of multi-task learning. We show that misalignment between task data can cause negative transfer (or hurt performance) and provide sufficient conditions f","authors_text":"Christopher R\\'e, Hongyang R. Zhang, Sen Wu","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-05-02T23:43:52Z","title":"Understanding and Improving Information Transfer in Multi-Task Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.00944","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":"sha256:5d1a04db97524bd455004f122728710d83f104a4cf2f770aeac0182d15e20c49","target":"record","created_at":"2026-07-05T01:00:02Z","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":"16a743ba15f7bfbad68f508a556e89f9e4670724294fb94e6e37d892dac0a5ee","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-05-02T23:43:52Z","title_canon_sha256":"73551a46a297cb12ed178cd62f386a538c7895b820224980f499d3e69bad02be"},"schema_version":"1.0","source":{"id":"2005.00944","kind":"arxiv","version":1}},"canonical_sha256":"bc2e11305de3d3955515e15b4689f0d47adec483b3a8011a07aadb1b1ffc2337","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bc2e11305de3d3955515e15b4689f0d47adec483b3a8011a07aadb1b1ffc2337","first_computed_at":"2026-07-05T01:00:02.416377Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:00:02.416377Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wNX3yp1W/bZCeRDgkv9/8k5JhEU+aqnI8MiddJDsOb2DuJMAsaVWu0151ieUHUZ1ZT2rrb3YS1JeEhT4lcYsBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:00:02.416777Z","signed_message":"canonical_sha256_bytes"},"source_id":"2005.00944","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5d1a04db97524bd455004f122728710d83f104a4cf2f770aeac0182d15e20c49","sha256:6b853e849d6f20ccbbeafcb882bebb6b02b1b542da846da8b5d694a731f0802d"],"state_sha256":"307182846d142c397838244623f42630d161c71e6edd47548f3d0ca3e7f9053e"}