{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:2WDONMV33SBEIEG45ZLHSKNAPW","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":"78a0118573671460d9e1813d3961cbab7921ec4e510d2da047dddd544540be37","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-08-07T19:00:25Z","title_canon_sha256":"337eef5705214596a94a38fd5fffb8444534f40202a214afe523c6d04b921655"},"schema_version":"1.0","source":{"id":"1708.02267","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.02267","created_at":"2026-07-05T00:16:29Z"},{"alias_kind":"arxiv_version","alias_value":"1708.02267v2","created_at":"2026-07-05T00:16:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.02267","created_at":"2026-07-05T00:16:29Z"},{"alias_kind":"pith_short_12","alias_value":"2WDONMV33SBE","created_at":"2026-07-05T00:16:29Z"},{"alias_kind":"pith_short_16","alias_value":"2WDONMV33SBEIEG4","created_at":"2026-07-05T00:16:29Z"},{"alias_kind":"pith_short_8","alias_value":"2WDONMV3","created_at":"2026-07-05T00:16:29Z"}],"graph_snapshots":[{"event_id":"sha256:d5b7edf5d70e17db9203f64ce340479448b75924c532aca8ecc4e49fed9723bb","target":"graph","created_at":"2026-07-05T00:16:29Z","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/1708.02267/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Transferring knowledge from a source domain to another domain is useful, especially when gathering new data is very expensive and time-consuming. Deep networks have been well-studied for question answering tasks in recent years; however, no prominent research for transfer learning through deep neural networks exists in the question answering field. In this paper, two main methods (INIT and MULT) in this field are examined. Then, a new method named Intelligent sample selection (ISS-MULT) is proposed to improve the MULT method for question answering tasks. Different datasets, specificay SQuAD, S","authors_text":"Ali Ahmadvand, Jinho D. Choi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-08-07T19:00:25Z","title":"ISS-MULT: Intelligent Sample Selection for Multi-Task Learning in Question Answering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.02267","kind":"arxiv","version":2},"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:a79db317ea01db5dc6b7ad7c8077516ca5ce856304e1aac6dc368e3191249007","target":"record","created_at":"2026-07-05T00:16:29Z","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":"78a0118573671460d9e1813d3961cbab7921ec4e510d2da047dddd544540be37","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-08-07T19:00:25Z","title_canon_sha256":"337eef5705214596a94a38fd5fffb8444534f40202a214afe523c6d04b921655"},"schema_version":"1.0","source":{"id":"1708.02267","kind":"arxiv","version":2}},"canonical_sha256":"d586e6b2bbdc824410dcee567929a07d9c0d87ca606195b9cc292cd97d4e9282","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d586e6b2bbdc824410dcee567929a07d9c0d87ca606195b9cc292cd97d4e9282","first_computed_at":"2026-07-05T00:16:29.446132Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:16:29.446132Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"g7hwgy7FPqpU7nAhoZu2fCP9DKCr0W2FpRuIOVpfP2XEAL0AXzQmwNQf4/VcBExmS4UnmfIXy7uKB+Ain5qRBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T00:16:29.446674Z","signed_message":"canonical_sha256_bytes"},"source_id":"1708.02267","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a79db317ea01db5dc6b7ad7c8077516ca5ce856304e1aac6dc368e3191249007","sha256:d5b7edf5d70e17db9203f64ce340479448b75924c532aca8ecc4e49fed9723bb"],"state_sha256":"5db7c15881d2361a1203c5528defe2de3896292ac30e5fe2cb699c3260d23cc3"}