{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:YYVWELS6HVBXGAAWRSB7XT727X","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":"84ce32a7eb1b43e2df8cbbbab9c127d80b7328e3f952daa433b48ad83d807156","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-09T17:58:38Z","title_canon_sha256":"8935554831002290c5c5cfc69918c68bf71cfcf5f4b7ce5b55abd81c69139963"},"schema_version":"1.0","source":{"id":"2310.05915","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.05915","created_at":"2026-07-05T06:58:51Z"},{"alias_kind":"arxiv_version","alias_value":"2310.05915v1","created_at":"2026-07-05T06:58:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.05915","created_at":"2026-07-05T06:58:51Z"},{"alias_kind":"pith_short_12","alias_value":"YYVWELS6HVBX","created_at":"2026-07-05T06:58:51Z"},{"alias_kind":"pith_short_16","alias_value":"YYVWELS6HVBXGAAW","created_at":"2026-07-05T06:58:51Z"},{"alias_kind":"pith_short_8","alias_value":"YYVWELS6","created_at":"2026-07-05T06:58:51Z"}],"graph_snapshots":[{"event_id":"sha256:5c197dc75ee78591fb8264a1e69281ce7b0a1ddfbd02850c8c59cce3db33c592","target":"graph","created_at":"2026-07-05T06:58:51Z","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/2310.05915/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent efforts have augmented language models (LMs) with external tools or environments, leading to the development of language agents that can reason and act. However, most of these agents rely on few-shot prompting techniques with off-the-shelf LMs. In this paper, we investigate and argue for the overlooked direction of fine-tuning LMs to obtain language agents. Using a setup of question answering (QA) with a Google search API, we explore a variety of base LMs, prompting methods, fine-tuning data, and QA tasks, and find language agents are consistently improved after fine-tuning their backbo","authors_text":"Baian Chen, Chang Shu, Ehsan Shareghi, Karthik Narasimhan, Nigel Collier, Shunyu Yao","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-09T17:58:38Z","title":"FireAct: Toward Language Agent Fine-tuning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.05915","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":"sha256:10e8861317b20b290ce1ff6db9ed005af8cc726edeb73a51fc1afa76673ecc79","target":"record","created_at":"2026-07-05T06:58:51Z","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":"84ce32a7eb1b43e2df8cbbbab9c127d80b7328e3f952daa433b48ad83d807156","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-09T17:58:38Z","title_canon_sha256":"8935554831002290c5c5cfc69918c68bf71cfcf5f4b7ce5b55abd81c69139963"},"schema_version":"1.0","source":{"id":"2310.05915","kind":"arxiv","version":1}},"canonical_sha256":"c62b622e5e3d437300168c83fbcffafddf3abb3b640d805f93ee73685101c0a2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c62b622e5e3d437300168c83fbcffafddf3abb3b640d805f93ee73685101c0a2","first_computed_at":"2026-07-05T06:58:51.268327Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:58:51.268327Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Y5ZBZ9utkshC7frCZriCMLADQ5VhW9OT3pn8aF3Wy+PUJkwU8ixG10/wmXIP7FQn4KdzxSXxefdSo9uEiV+4AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:58:51.268782Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.05915","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:10e8861317b20b290ce1ff6db9ed005af8cc726edeb73a51fc1afa76673ecc79","sha256:5c197dc75ee78591fb8264a1e69281ce7b0a1ddfbd02850c8c59cce3db33c592"],"state_sha256":"19addbf03bdda97b43754ea6343f27b5da5217e56ea7736936910362e9ed7111"}