{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:YEUFSYLBSN4N4FKVMONFQRJDEG","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":"183d38b0ad6f0dc7abc8af5cb12e1e45023d0ed9b892ea2000ef530f91dd5ea0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-27T03:04:36Z","title_canon_sha256":"bdf88b44289cc35ad6aa4a7280b7268820efcbcf97df1f4ec5ef14271c8a4e4e"},"schema_version":"1.0","source":{"id":"2605.27881","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.27881","created_at":"2026-05-28T01:04:51Z"},{"alias_kind":"arxiv_version","alias_value":"2605.27881v1","created_at":"2026-05-28T01:04:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.27881","created_at":"2026-05-28T01:04:51Z"},{"alias_kind":"pith_short_12","alias_value":"YEUFSYLBSN4N","created_at":"2026-05-28T01:04:51Z"},{"alias_kind":"pith_short_16","alias_value":"YEUFSYLBSN4N4FKV","created_at":"2026-05-28T01:04:51Z"},{"alias_kind":"pith_short_8","alias_value":"YEUFSYLB","created_at":"2026-05-28T01:04:51Z"}],"graph_snapshots":[{"event_id":"sha256:6dbdbce4fc1ef62db17a23166e3100abe795c3642381a167693924c02295e1e1","target":"graph","created_at":"2026-05-28T01:04:51Z","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/2605.27881/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Search agents powered by large language models can autonomously decompose queries, retrieve information, and synthesize answers through multi-step reasoning. However, the rapid growth of training methods has outpaced controlled comparison: existing works differ in retrieval corpora, reward designs, and training protocols, making it unclear what actually drives improvements. We present a controlled empirical study that isolates three under-explored dimensions of search agent training. First, we identify a critical data-coverage issue in the widely used Wikipedia 2018 corpus and show that correc","authors_text":"Jiayi Wu, Xiang Li, Yibo Zhao, Zichen Ding, Zun Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-27T03:04:36Z","title":"Retrieval, Reward, and Training Protocols: What Matters in Training Search Agents?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.27881","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":"sha256:89157cb8bebf3a8f3abf64751e7fece3f3e199647b14c41604201a2ebe71fdf3","target":"record","created_at":"2026-05-28T01:04:51Z","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":"183d38b0ad6f0dc7abc8af5cb12e1e45023d0ed9b892ea2000ef530f91dd5ea0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-27T03:04:36Z","title_canon_sha256":"bdf88b44289cc35ad6aa4a7280b7268820efcbcf97df1f4ec5ef14271c8a4e4e"},"schema_version":"1.0","source":{"id":"2605.27881","kind":"arxiv","version":1}},"canonical_sha256":"c1285961619378de1555639a5845232196e62ac47e15ecbc4751424825e653f0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c1285961619378de1555639a5845232196e62ac47e15ecbc4751424825e653f0","first_computed_at":"2026-05-28T01:04:51.169930Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-28T01:04:51.169930Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MYq3HEanxIW52iaMduhkY53CJYVLQkjY5lTFghN5BKTzAfEE2FJejCi8R0RS8EffH+iZL93oAqLWRhUwTDItCw==","signature_status":"signed_v1","signed_at":"2026-05-28T01:04:51.170293Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.27881","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:89157cb8bebf3a8f3abf64751e7fece3f3e199647b14c41604201a2ebe71fdf3","sha256:6dbdbce4fc1ef62db17a23166e3100abe795c3642381a167693924c02295e1e1"],"state_sha256":"8ba44bddcc12b929976817f9060736f48dcdcd25059bf27b8b3400b7af24e314"}