{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:CVVJFDHX5HLQGG7S3MBL47AUJL","short_pith_number":"pith:CVVJFDHX","schema_version":"1.0","canonical_sha256":"156a928cf7e9d7031bf2db02be7c144ae8cb53b66edcf57556767d4d9b2509b0","source":{"kind":"arxiv","id":"2607.21461","version":2},"attestation_state":"computed","paper":{"title":"AREX: Towards a Recursively Self-Improving Agent for Deep Research","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Bingyu Yan, Chaofan Li, Chaozhuo Li, Di He, Hongjin Qian, Hongwang Xiao, Hui Wang, Jiahao Wang, Jianlyu Chen, Kang Liu, Kun Luo, Lei Xiong, Qiwei Ye, Sen Wang, Shuqi Lu, Wanli Li, Xiyan Jiang, Yingxia Shao, Yuyang Hu, Zhang Zhang, Zheng Liu, Zhicheng Dou, Zhongyuan Wang, Ziyi Xia","submitted_at":"2026-07-23T16:05:46Z","abstract_excerpt":"Deep research requires agents to find answers that jointly satisfy multiple constraints. Discovering such answers is costly, whereas verifying a candidate can often be decomposed into tractable constraint-wise checks. This discovery--verification asymmetry suggests that a research agent should do more than simply search longer: it should recursively improve its current answer by verifying intermediate results and using the partially verified state to guide subsequent refinement. We introduce AREX, a family of Recursively Self-Improving (RSI) deep research agents. AREX alternates between an inn"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.21461","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-23T16:05:46Z","cross_cats_sorted":[],"title_canon_sha256":"0a9279afbd781a75810273606d5d98e0c1d12a97fb988256cc40f894695b54a1","abstract_canon_sha256":"65dc1ad3aa2ef7b3394bc88de437db8625c3ce9dae98c1b907b6946e9e22834c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-27T00:20:09.388886Z","signature_b64":"UU1R9pw/xQiIH0+0J4VmbqlDVshqbPA22znWr5fC3Exn6NAh571rKU9uHb97bv6hj/LMnKM1gwBn4dkEIuqgAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"156a928cf7e9d7031bf2db02be7c144ae8cb53b66edcf57556767d4d9b2509b0","last_reissued_at":"2026-07-27T00:20:09.387929Z","signature_status":"signed_v1","first_computed_at":"2026-07-27T00:20:09.387929Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"AREX: Towards a Recursively Self-Improving Agent for Deep Research","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Bingyu Yan, Chaofan Li, Chaozhuo Li, Di He, Hongjin Qian, Hongwang Xiao, Hui Wang, Jiahao Wang, Jianlyu Chen, Kang Liu, Kun Luo, Lei Xiong, Qiwei Ye, Sen Wang, Shuqi Lu, Wanli Li, Xiyan Jiang, Yingxia Shao, Yuyang Hu, Zhang Zhang, Zheng Liu, Zhicheng Dou, Zhongyuan Wang, Ziyi Xia","submitted_at":"2026-07-23T16:05:46Z","abstract_excerpt":"Deep research requires agents to find answers that jointly satisfy multiple constraints. Discovering such answers is costly, whereas verifying a candidate can often be decomposed into tractable constraint-wise checks. This discovery--verification asymmetry suggests that a research agent should do more than simply search longer: it should recursively improve its current answer by verifying intermediate results and using the partially verified state to guide subsequent refinement. We introduce AREX, a family of Recursively Self-Improving (RSI) deep research agents. AREX alternates between an inn"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.21461","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2607.21461/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.21461","created_at":"2026-07-27T00:20:09.388382+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.21461v2","created_at":"2026-07-27T00:20:09.388382+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.21461","created_at":"2026-07-27T00:20:09.388382+00:00"},{"alias_kind":"pith_short_12","alias_value":"CVVJFDHX5HLQ","created_at":"2026-07-27T00:20:09.388382+00:00"},{"alias_kind":"pith_short_16","alias_value":"CVVJFDHX5HLQGG7S","created_at":"2026-07-27T00:20:09.388382+00:00"},{"alias_kind":"pith_short_8","alias_value":"CVVJFDHX","created_at":"2026-07-27T00:20:09.388382+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/CVVJFDHX5HLQGG7S3MBL47AUJL","json":"https://pith.science/pith/CVVJFDHX5HLQGG7S3MBL47AUJL.json","graph_json":"https://pith.science/api/pith-number/CVVJFDHX5HLQGG7S3MBL47AUJL/graph.json","events_json":"https://pith.science/api/pith-number/CVVJFDHX5HLQGG7S3MBL47AUJL/events.json","paper":"https://pith.science/paper/CVVJFDHX"},"agent_actions":{"view_html":"https://pith.science/pith/CVVJFDHX5HLQGG7S3MBL47AUJL","download_json":"https://pith.science/pith/CVVJFDHX5HLQGG7S3MBL47AUJL.json","view_paper":"https://pith.science/paper/CVVJFDHX","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.21461&json=true","fetch_graph":"https://pith.science/api/pith-number/CVVJFDHX5HLQGG7S3MBL47AUJL/graph.json","fetch_events":"https://pith.science/api/pith-number/CVVJFDHX5HLQGG7S3MBL47AUJL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CVVJFDHX5HLQGG7S3MBL47AUJL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CVVJFDHX5HLQGG7S3MBL47AUJL/action/storage_attestation","attest_author":"https://pith.science/pith/CVVJFDHX5HLQGG7S3MBL47AUJL/action/author_attestation","sign_citation":"https://pith.science/pith/CVVJFDHX5HLQGG7S3MBL47AUJL/action/citation_signature","submit_replication":"https://pith.science/pith/CVVJFDHX5HLQGG7S3MBL47AUJL/action/replication_record"}},"created_at":"2026-07-27T00:20:09.388382+00:00","updated_at":"2026-07-27T00:20:09.388382+00:00"}