{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:GNTRTQCEH23L2QDRWBNV2IKKQ4","short_pith_number":"pith:GNTRTQCE","schema_version":"1.0","canonical_sha256":"336719c0443eb6bd4071b05b5d214a87156f2c4f30bca23217010a8f4df2caf6","source":{"kind":"arxiv","id":"2606.22110","version":1},"attestation_state":"computed","paper":{"title":"TraceView: Interactive Visualization of Agentic Program Repair Trajectories","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.HC"],"primary_cat":"cs.SE","authors_text":"Amirali Sajadi, Esteban Parra, Kimmie Huynh, Preetha Chatterjee, Tu Nguyen","submitted_at":"2026-06-20T15:47:15Z","abstract_excerpt":"LLM-based automated program repair (APR) agents generate patches to fix software bugs with minimal human intervention. These agents often produce long trajectories of reasoning, tool use, and feedback to produce candidate patches. Final patch outcomes show whether a repair attempt succeeded or failed, but they do not show how the agent reached that outcome, or where the process became repetitive or misaligned with the task. This makes agentic repair failures difficult to diagnose, reproduce, and prevent. To help developers address these challenges, we present TraceView, an interactive tool for"},"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":"2606.22110","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-06-20T15:47:15Z","cross_cats_sorted":["cs.AI","cs.HC"],"title_canon_sha256":"1343430da2d65ebfbd03057be62b80ab553bba6ed45de06283fbfb647b987bf7","abstract_canon_sha256":"d3e9b2172d4be8ff33a1bb28f3615a0804b7b03ba3ced01cf6d1c92a6178fd6c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-23T02:13:28.486371Z","signature_b64":"FsNnhBSxARpXoTvbAUe539R3Daa4i/PF2nC9vr2RlPzEBfXwT7Feg4z35UonNxeMkxtbf1dZFZqvMmeCeWiwAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"336719c0443eb6bd4071b05b5d214a87156f2c4f30bca23217010a8f4df2caf6","last_reissued_at":"2026-06-23T02:13:28.485941Z","signature_status":"signed_v1","first_computed_at":"2026-06-23T02:13:28.485941Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"TraceView: Interactive Visualization of Agentic Program Repair Trajectories","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.HC"],"primary_cat":"cs.SE","authors_text":"Amirali Sajadi, Esteban Parra, Kimmie Huynh, Preetha Chatterjee, Tu Nguyen","submitted_at":"2026-06-20T15:47:15Z","abstract_excerpt":"LLM-based automated program repair (APR) agents generate patches to fix software bugs with minimal human intervention. These agents often produce long trajectories of reasoning, tool use, and feedback to produce candidate patches. Final patch outcomes show whether a repair attempt succeeded or failed, but they do not show how the agent reached that outcome, or where the process became repetitive or misaligned with the task. This makes agentic repair failures difficult to diagnose, reproduce, and prevent. To help developers address these challenges, we present TraceView, an interactive tool for"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.22110","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/2606.22110/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":"2606.22110","created_at":"2026-06-23T02:13:28.486005+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.22110v1","created_at":"2026-06-23T02:13:28.486005+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.22110","created_at":"2026-06-23T02:13:28.486005+00:00"},{"alias_kind":"pith_short_12","alias_value":"GNTRTQCEH23L","created_at":"2026-06-23T02:13:28.486005+00:00"},{"alias_kind":"pith_short_16","alias_value":"GNTRTQCEH23L2QDR","created_at":"2026-06-23T02:13:28.486005+00:00"},{"alias_kind":"pith_short_8","alias_value":"GNTRTQCE","created_at":"2026-06-23T02:13:28.486005+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/GNTRTQCEH23L2QDRWBNV2IKKQ4","json":"https://pith.science/pith/GNTRTQCEH23L2QDRWBNV2IKKQ4.json","graph_json":"https://pith.science/api/pith-number/GNTRTQCEH23L2QDRWBNV2IKKQ4/graph.json","events_json":"https://pith.science/api/pith-number/GNTRTQCEH23L2QDRWBNV2IKKQ4/events.json","paper":"https://pith.science/paper/GNTRTQCE"},"agent_actions":{"view_html":"https://pith.science/pith/GNTRTQCEH23L2QDRWBNV2IKKQ4","download_json":"https://pith.science/pith/GNTRTQCEH23L2QDRWBNV2IKKQ4.json","view_paper":"https://pith.science/paper/GNTRTQCE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.22110&json=true","fetch_graph":"https://pith.science/api/pith-number/GNTRTQCEH23L2QDRWBNV2IKKQ4/graph.json","fetch_events":"https://pith.science/api/pith-number/GNTRTQCEH23L2QDRWBNV2IKKQ4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GNTRTQCEH23L2QDRWBNV2IKKQ4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GNTRTQCEH23L2QDRWBNV2IKKQ4/action/storage_attestation","attest_author":"https://pith.science/pith/GNTRTQCEH23L2QDRWBNV2IKKQ4/action/author_attestation","sign_citation":"https://pith.science/pith/GNTRTQCEH23L2QDRWBNV2IKKQ4/action/citation_signature","submit_replication":"https://pith.science/pith/GNTRTQCEH23L2QDRWBNV2IKKQ4/action/replication_record"}},"created_at":"2026-06-23T02:13:28.486005+00:00","updated_at":"2026-06-23T02:13:28.486005+00:00"}