{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:73W27Q72EYKXPR3MFZLBCOBEQA","short_pith_number":"pith:73W27Q72","schema_version":"1.0","canonical_sha256":"feedafc3fa261577c76c2e56113824800eebbaf1cfd1763b39dbb09be63094aa","source":{"kind":"arxiv","id":"2606.05414","version":1},"attestation_state":"computed","paper":{"title":"When Evidence is Sparse: Weakly Supervised Early Failure Alerting in Dialogs and LLM-Agent Trajectories","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.HC","cs.LG"],"primary_cat":"cs.CL","authors_text":"Avinash Baidya, Kamalika Das, Ruocheng Guo, Xiang Gao, Xinran Liang","submitted_at":"2026-06-03T20:28:27Z","abstract_excerpt":"Early failure alerting requires deciding, while a dialog or agent trajectory is still unfolding, whether to flag it as likely to fail. This is challenging because supervision is typically available only as a trajectory-level success/failure label while alerts must be raised from partial interactions. Prior early-classification methods often bridge this gap by assigning the terminal label to every prefix, treating every turn as failure evidence. We hypothesize that this prefix-label assumption is poorly matched to multi-turn language interactions, where evidence of eventual failure is sparse an"},"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":"2606.05414","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-03T20:28:27Z","cross_cats_sorted":["cs.AI","cs.HC","cs.LG"],"title_canon_sha256":"39151d7e5e2a2671e5f0e093c2b3535b38e8fe6db1c6bac1ad90c96628efcb4e","abstract_canon_sha256":"b50566752e0ce1f98fcf3e4a3c3f7573d038f10d0312a605ba32c5b28363cec2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-05T00:13:56.999002Z","signature_b64":"bKcvefNXtrzRqh8cKWMXSN9sCEWa1xbMjze+gD0yPlqG+xg/WqXc5FhQP2Q2A1RfA6qC2q2OyyjjHvFQB+H9Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"feedafc3fa261577c76c2e56113824800eebbaf1cfd1763b39dbb09be63094aa","last_reissued_at":"2026-06-05T00:13:56.998576Z","signature_status":"signed_v1","first_computed_at":"2026-06-05T00:13:56.998576Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"When Evidence is Sparse: Weakly Supervised Early Failure Alerting in Dialogs and LLM-Agent Trajectories","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.HC","cs.LG"],"primary_cat":"cs.CL","authors_text":"Avinash Baidya, Kamalika Das, Ruocheng Guo, Xiang Gao, Xinran Liang","submitted_at":"2026-06-03T20:28:27Z","abstract_excerpt":"Early failure alerting requires deciding, while a dialog or agent trajectory is still unfolding, whether to flag it as likely to fail. This is challenging because supervision is typically available only as a trajectory-level success/failure label while alerts must be raised from partial interactions. Prior early-classification methods often bridge this gap by assigning the terminal label to every prefix, treating every turn as failure evidence. We hypothesize that this prefix-label assumption is poorly matched to multi-turn language interactions, where evidence of eventual failure is sparse an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.05414","kind":"arxiv","version":1},"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/2606.05414/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":"2606.05414","created_at":"2026-06-05T00:13:56.998641+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.05414v1","created_at":"2026-06-05T00:13:56.998641+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.05414","created_at":"2026-06-05T00:13:56.998641+00:00"},{"alias_kind":"pith_short_12","alias_value":"73W27Q72EYKX","created_at":"2026-06-05T00:13:56.998641+00:00"},{"alias_kind":"pith_short_16","alias_value":"73W27Q72EYKXPR3M","created_at":"2026-06-05T00:13:56.998641+00:00"},{"alias_kind":"pith_short_8","alias_value":"73W27Q72","created_at":"2026-06-05T00:13:56.998641+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/73W27Q72EYKXPR3MFZLBCOBEQA","json":"https://pith.science/pith/73W27Q72EYKXPR3MFZLBCOBEQA.json","graph_json":"https://pith.science/api/pith-number/73W27Q72EYKXPR3MFZLBCOBEQA/graph.json","events_json":"https://pith.science/api/pith-number/73W27Q72EYKXPR3MFZLBCOBEQA/events.json","paper":"https://pith.science/paper/73W27Q72"},"agent_actions":{"view_html":"https://pith.science/pith/73W27Q72EYKXPR3MFZLBCOBEQA","download_json":"https://pith.science/pith/73W27Q72EYKXPR3MFZLBCOBEQA.json","view_paper":"https://pith.science/paper/73W27Q72","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.05414&json=true","fetch_graph":"https://pith.science/api/pith-number/73W27Q72EYKXPR3MFZLBCOBEQA/graph.json","fetch_events":"https://pith.science/api/pith-number/73W27Q72EYKXPR3MFZLBCOBEQA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/73W27Q72EYKXPR3MFZLBCOBEQA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/73W27Q72EYKXPR3MFZLBCOBEQA/action/storage_attestation","attest_author":"https://pith.science/pith/73W27Q72EYKXPR3MFZLBCOBEQA/action/author_attestation","sign_citation":"https://pith.science/pith/73W27Q72EYKXPR3MFZLBCOBEQA/action/citation_signature","submit_replication":"https://pith.science/pith/73W27Q72EYKXPR3MFZLBCOBEQA/action/replication_record"}},"created_at":"2026-06-05T00:13:56.998641+00:00","updated_at":"2026-06-05T00:13:56.998641+00:00"}