{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:Y7UZR6VP2V5TLCY36UYVNP4XMN","short_pith_number":"pith:Y7UZR6VP","schema_version":"1.0","canonical_sha256":"c7e998faafd57b358b1bf53156bf9763710cf6b5ef3d87fa1f9e7d5dd1a6308c","source":{"kind":"arxiv","id":"2607.18064","version":1},"attestation_state":"computed","paper":{"title":"Autoresearch with Coding Agents: Generalizers and Metric-Maximizers on Quran Recitation Data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.SE","authors_text":"Ahmed Helaly, Gonzalo Ferrer, Manuel Mazzara, Mohamad Al Mdfaa, Nursultan Askarbekuly","submitted_at":"2026-07-20T15:32:09Z","abstract_excerpt":"Coding agents can now be left alone to improve software against a score. In this pattern--recently popularized as \"autoresearch\"--the agent receives a dataset, an evaluation script, and one editable file, and iterates without supervision: modify the code, measure, keep the change if the score improves. But what does the agent actually optimize--the developer's intent, or the literal number? We ran this loop on a real production task: deciding which Quranic verses appear in a noisy speech-recognition transcript and splitting the transcript by verse. Two frontier coding agents, Claude Code and O"},"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":"2607.18064","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-20T15:32:09Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"d2f04683a627dc55a16d91c1f5be7d5ad846e717e2e4e1f677f0b2356b9846ce","abstract_canon_sha256":"aa8870f4b024484e983cd847d0937bf813692e13db9ef6ae1df64bb8856f8946"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-21T02:22:14.409696Z","signature_b64":"3ZNNClWzSJdWtnM15MEkIf40y2OZSj4qhiv+KIUZj6fAZeC8fVl82kJmi+cXsra6LzWTjJwx7bWp7p6vDjkxBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c7e998faafd57b358b1bf53156bf9763710cf6b5ef3d87fa1f9e7d5dd1a6308c","last_reissued_at":"2026-07-21T02:22:14.408889Z","signature_status":"signed_v1","first_computed_at":"2026-07-21T02:22:14.408889Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Autoresearch with Coding Agents: Generalizers and Metric-Maximizers on Quran Recitation Data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.SE","authors_text":"Ahmed Helaly, Gonzalo Ferrer, Manuel Mazzara, Mohamad Al Mdfaa, Nursultan Askarbekuly","submitted_at":"2026-07-20T15:32:09Z","abstract_excerpt":"Coding agents can now be left alone to improve software against a score. In this pattern--recently popularized as \"autoresearch\"--the agent receives a dataset, an evaluation script, and one editable file, and iterates without supervision: modify the code, measure, keep the change if the score improves. But what does the agent actually optimize--the developer's intent, or the literal number? We ran this loop on a real production task: deciding which Quranic verses appear in a noisy speech-recognition transcript and splitting the transcript by verse. Two frontier coding agents, Claude Code and O"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.18064","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/2607.18064/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":"2607.18064","created_at":"2026-07-21T02:22:14.409296+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.18064v1","created_at":"2026-07-21T02:22:14.409296+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.18064","created_at":"2026-07-21T02:22:14.409296+00:00"},{"alias_kind":"pith_short_12","alias_value":"Y7UZR6VP2V5T","created_at":"2026-07-21T02:22:14.409296+00:00"},{"alias_kind":"pith_short_16","alias_value":"Y7UZR6VP2V5TLCY3","created_at":"2026-07-21T02:22:14.409296+00:00"},{"alias_kind":"pith_short_8","alias_value":"Y7UZR6VP","created_at":"2026-07-21T02:22:14.409296+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/Y7UZR6VP2V5TLCY36UYVNP4XMN","json":"https://pith.science/pith/Y7UZR6VP2V5TLCY36UYVNP4XMN.json","graph_json":"https://pith.science/api/pith-number/Y7UZR6VP2V5TLCY36UYVNP4XMN/graph.json","events_json":"https://pith.science/api/pith-number/Y7UZR6VP2V5TLCY36UYVNP4XMN/events.json","paper":"https://pith.science/paper/Y7UZR6VP"},"agent_actions":{"view_html":"https://pith.science/pith/Y7UZR6VP2V5TLCY36UYVNP4XMN","download_json":"https://pith.science/pith/Y7UZR6VP2V5TLCY36UYVNP4XMN.json","view_paper":"https://pith.science/paper/Y7UZR6VP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.18064&json=true","fetch_graph":"https://pith.science/api/pith-number/Y7UZR6VP2V5TLCY36UYVNP4XMN/graph.json","fetch_events":"https://pith.science/api/pith-number/Y7UZR6VP2V5TLCY36UYVNP4XMN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Y7UZR6VP2V5TLCY36UYVNP4XMN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Y7UZR6VP2V5TLCY36UYVNP4XMN/action/storage_attestation","attest_author":"https://pith.science/pith/Y7UZR6VP2V5TLCY36UYVNP4XMN/action/author_attestation","sign_citation":"https://pith.science/pith/Y7UZR6VP2V5TLCY36UYVNP4XMN/action/citation_signature","submit_replication":"https://pith.science/pith/Y7UZR6VP2V5TLCY36UYVNP4XMN/action/replication_record"}},"created_at":"2026-07-21T02:22:14.409296+00:00","updated_at":"2026-07-21T02:22:14.409296+00:00"}