{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:RLABCV43WTDNTIPPGJTQDHA3WS","short_pith_number":"pith:RLABCV43","schema_version":"1.0","canonical_sha256":"8ac011579bb4c6d9a1ef3267019c1bb48f5029ce6ac0a041e98e689358b8e86c","source":{"kind":"arxiv","id":"2511.14584","version":3},"attestation_state":"computed","paper":{"title":"ReflexGrad: Within-Episode Failure Recovery in LLM Agents via Progress-Gated Dual-Process Routing","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Ankush Kadu, Aswanth Krishnan","submitted_at":"2025-11-18T15:25:05Z","abstract_excerpt":"We present ReflexGrad, a dual-process architecture for within-episode failure recovery in LLM agents without demonstrations. When agents commit to a wrong approach early and exhaust the step budget, the post-failure trajectory contains the information to escape -- but no published architecture acts on it within a single episode. ReflexGrad routes between a fast process (TextGrad-style continuous refinement every $k{=}3$ steps) and a slow process (Reflexion-style causal diagnosis when $m{=}5$ consecutive low-progress scores fire a routing gate). A deterministic priority merge keeps the natural-"},"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":"2511.14584","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-11-18T15:25:05Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"744380dbbd92e8a02e381458c544ab4ab09251c5534b1d508a5be5e0094f9383","abstract_canon_sha256":"f2792b934a23c2ba2927514ea90548027fac3aecfab44c8b29590c530e8181af"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-28T02:04:44.382923Z","signature_b64":"8icetxf0jikmp0t1ikDdHWaVIMWd5mMaX3v4bFpUOWdSkFoNEqhWQeoYhaCV8C9m02BL/7m9ZaSrLwNSA8TZCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8ac011579bb4c6d9a1ef3267019c1bb48f5029ce6ac0a041e98e689358b8e86c","last_reissued_at":"2026-05-28T02:04:44.382420Z","signature_status":"signed_v1","first_computed_at":"2026-05-28T02:04:44.382420Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"ReflexGrad: Within-Episode Failure Recovery in LLM Agents via Progress-Gated Dual-Process Routing","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Ankush Kadu, Aswanth Krishnan","submitted_at":"2025-11-18T15:25:05Z","abstract_excerpt":"We present ReflexGrad, a dual-process architecture for within-episode failure recovery in LLM agents without demonstrations. When agents commit to a wrong approach early and exhaust the step budget, the post-failure trajectory contains the information to escape -- but no published architecture acts on it within a single episode. ReflexGrad routes between a fast process (TextGrad-style continuous refinement every $k{=}3$ steps) and a slow process (Reflexion-style causal diagnosis when $m{=}5$ consecutive low-progress scores fire a routing gate). A deterministic priority merge keeps the natural-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2511.14584","kind":"arxiv","version":3},"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/2511.14584/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":"2511.14584","created_at":"2026-05-28T02:04:44.382480+00:00"},{"alias_kind":"arxiv_version","alias_value":"2511.14584v3","created_at":"2026-05-28T02:04:44.382480+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2511.14584","created_at":"2026-05-28T02:04:44.382480+00:00"},{"alias_kind":"pith_short_12","alias_value":"RLABCV43WTDN","created_at":"2026-05-28T02:04:44.382480+00:00"},{"alias_kind":"pith_short_16","alias_value":"RLABCV43WTDNTIPP","created_at":"2026-05-28T02:04:44.382480+00:00"},{"alias_kind":"pith_short_8","alias_value":"RLABCV43","created_at":"2026-05-28T02:04:44.382480+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/RLABCV43WTDNTIPPGJTQDHA3WS","json":"https://pith.science/pith/RLABCV43WTDNTIPPGJTQDHA3WS.json","graph_json":"https://pith.science/api/pith-number/RLABCV43WTDNTIPPGJTQDHA3WS/graph.json","events_json":"https://pith.science/api/pith-number/RLABCV43WTDNTIPPGJTQDHA3WS/events.json","paper":"https://pith.science/paper/RLABCV43"},"agent_actions":{"view_html":"https://pith.science/pith/RLABCV43WTDNTIPPGJTQDHA3WS","download_json":"https://pith.science/pith/RLABCV43WTDNTIPPGJTQDHA3WS.json","view_paper":"https://pith.science/paper/RLABCV43","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2511.14584&json=true","fetch_graph":"https://pith.science/api/pith-number/RLABCV43WTDNTIPPGJTQDHA3WS/graph.json","fetch_events":"https://pith.science/api/pith-number/RLABCV43WTDNTIPPGJTQDHA3WS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/RLABCV43WTDNTIPPGJTQDHA3WS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/RLABCV43WTDNTIPPGJTQDHA3WS/action/storage_attestation","attest_author":"https://pith.science/pith/RLABCV43WTDNTIPPGJTQDHA3WS/action/author_attestation","sign_citation":"https://pith.science/pith/RLABCV43WTDNTIPPGJTQDHA3WS/action/citation_signature","submit_replication":"https://pith.science/pith/RLABCV43WTDNTIPPGJTQDHA3WS/action/replication_record"}},"created_at":"2026-05-28T02:04:44.382480+00:00","updated_at":"2026-05-28T02:04:44.382480+00:00"}