{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:MESKPXRTHBJCOMXCUYJI5GVB2F","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":"9f9fa7518588911e7f9665c3581ab48b04a32b24cc541c80bc8b2c66907f7cea","cross_cats_sorted":["cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-07-01T13:45:15Z","title_canon_sha256":"dea8585008a887fabd77f14410ef2eb6ade01033eeb9f5dc733b6b5d9313fccc"},"schema_version":"1.0","source":{"id":"2307.00342","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.00342","created_at":"2026-07-05T06:26:55Z"},{"alias_kind":"arxiv_version","alias_value":"2307.00342v1","created_at":"2026-07-05T06:26:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.00342","created_at":"2026-07-05T06:26:55Z"},{"alias_kind":"pith_short_12","alias_value":"MESKPXRTHBJC","created_at":"2026-07-05T06:26:55Z"},{"alias_kind":"pith_short_16","alias_value":"MESKPXRTHBJCOMXC","created_at":"2026-07-05T06:26:55Z"},{"alias_kind":"pith_short_8","alias_value":"MESKPXRT","created_at":"2026-07-05T06:26:55Z"}],"graph_snapshots":[{"event_id":"sha256:f611f7f14dda02640016e859befdf3d6a560a4a329d54bfa39b81300acc5f1a7","target":"graph","created_at":"2026-07-05T06:26:55Z","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/2307.00342/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In multitask retrieval, a single retriever is trained to retrieve relevant contexts for multiple tasks. Despite its practical appeal, naive multitask retrieval lags behind task-specific retrieval in which a separate retriever is trained for each task. We show that it is possible to train a multitask retriever that outperforms task-specific retrievers by promoting task specialization. The main ingredients are: (1) a better choice of pretrained model (one that is explicitly optimized for multitasking) along with compatible prompting, and (2) a novel adaptive learning method that encourages each ","authors_text":"Arnold Overwijk, Chenyan Xiong, Karl Stratos, Wenzheng Zhang","cross_cats":["cs.IR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-07-01T13:45:15Z","title":"Improving Multitask Retrieval by Promoting Task Specialization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.00342","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":"sha256:6e89d59c60edcadd0421aeaade06d47caf2a51324e09ef755b15fa01e5e2a579","target":"record","created_at":"2026-07-05T06:26:55Z","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":"9f9fa7518588911e7f9665c3581ab48b04a32b24cc541c80bc8b2c66907f7cea","cross_cats_sorted":["cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-07-01T13:45:15Z","title_canon_sha256":"dea8585008a887fabd77f14410ef2eb6ade01033eeb9f5dc733b6b5d9313fccc"},"schema_version":"1.0","source":{"id":"2307.00342","kind":"arxiv","version":1}},"canonical_sha256":"6124a7de3338522732e2a6128e9aa1d14061085782ec564d9d9b87f10e9c0d7d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6124a7de3338522732e2a6128e9aa1d14061085782ec564d9d9b87f10e9c0d7d","first_computed_at":"2026-07-05T06:26:55.145055Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:26:55.145055Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"El2VD9tYGV9gcxT9VEA3lA4Ghv0JhIRKQaGrQVE/wgkNT0iTHv13XNAQ+yWNMgmBl80Ph+cu0X2HIzlDa058AA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:26:55.145444Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.00342","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6e89d59c60edcadd0421aeaade06d47caf2a51324e09ef755b15fa01e5e2a579","sha256:f611f7f14dda02640016e859befdf3d6a560a4a329d54bfa39b81300acc5f1a7"],"state_sha256":"2e94fd4ca4431cee2ec887e6d8161c024a1eeacc3f7624ebbf14077600810cf2"}