{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:DAZ22S2PREYQNDXBODWGJDLDO4","short_pith_number":"pith:DAZ22S2P","schema_version":"1.0","canonical_sha256":"1833ad4b4f8931068ee170ec648d6377202e7e0b5974f3fd04786639ee522483","source":{"kind":"arxiv","id":"2607.23784","version":1},"attestation_state":"computed","paper":{"title":"A Few Words Go a Long Way: Language Guided Robot Policy Synthesis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.RO","authors_text":"Archit Ritesh Jain, Daphne Chen, Emma Romig, Eric Goossen, Maya Cakmak, Michael Murray, Nick Walker","submitted_at":"2026-07-26T18:00:02Z","abstract_excerpt":"While vision-language-action models have demonstrated impressive zero-shot manipulation capabilities, they remain fundamentally black box policies that are difficult to interpret, adapt, or correct when they inevitably fail. In this work, we propose ARCHITECT, a framework that treats robot policy acquisition as an interactive program synthesis task. ARCHITECT leverages the reasoning capabilities of LLM coding agents to synthesize modular robot programs that utilize a suite of perception and control tools. Unlike end-to-end models where distribution shift leads to unpredictable, cascading failu"},"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":"2607.23784","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-07-26T18:00:02Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"00e12ab25a82009ecf12557d7998c7b4374188367928087ec10bf27bbf6d57a7","abstract_canon_sha256":"e2b2c0fd6f81538d26faed0dc8b92402bc263813e82e0740d2fd72c8f0c7c7ea"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-28T01:23:10.968413Z","signature_b64":"btan9Sjggzcrq0y/p/srtXfI74ITk1/5J194xHRWdmu9uPJgLERglHDL69sEXVaaK3DX4HJtXjL/AWANfy6UBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1833ad4b4f8931068ee170ec648d6377202e7e0b5974f3fd04786639ee522483","last_reissued_at":"2026-07-28T01:23:10.967591Z","signature_status":"signed_v1","first_computed_at":"2026-07-28T01:23:10.967591Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Few Words Go a Long Way: Language Guided Robot Policy Synthesis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.RO","authors_text":"Archit Ritesh Jain, Daphne Chen, Emma Romig, Eric Goossen, Maya Cakmak, Michael Murray, Nick Walker","submitted_at":"2026-07-26T18:00:02Z","abstract_excerpt":"While vision-language-action models have demonstrated impressive zero-shot manipulation capabilities, they remain fundamentally black box policies that are difficult to interpret, adapt, or correct when they inevitably fail. In this work, we propose ARCHITECT, a framework that treats robot policy acquisition as an interactive program synthesis task. ARCHITECT leverages the reasoning capabilities of LLM coding agents to synthesize modular robot programs that utilize a suite of perception and control tools. Unlike end-to-end models where distribution shift leads to unpredictable, cascading failu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.23784","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/2607.23784/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":"2607.23784","created_at":"2026-07-28T01:23:10.968027+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.23784v1","created_at":"2026-07-28T01:23:10.968027+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.23784","created_at":"2026-07-28T01:23:10.968027+00:00"},{"alias_kind":"pith_short_12","alias_value":"DAZ22S2PREYQ","created_at":"2026-07-28T01:23:10.968027+00:00"},{"alias_kind":"pith_short_16","alias_value":"DAZ22S2PREYQNDXB","created_at":"2026-07-28T01:23:10.968027+00:00"},{"alias_kind":"pith_short_8","alias_value":"DAZ22S2P","created_at":"2026-07-28T01:23:10.968027+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/DAZ22S2PREYQNDXBODWGJDLDO4","json":"https://pith.science/pith/DAZ22S2PREYQNDXBODWGJDLDO4.json","graph_json":"https://pith.science/api/pith-number/DAZ22S2PREYQNDXBODWGJDLDO4/graph.json","events_json":"https://pith.science/api/pith-number/DAZ22S2PREYQNDXBODWGJDLDO4/events.json","paper":"https://pith.science/paper/DAZ22S2P"},"agent_actions":{"view_html":"https://pith.science/pith/DAZ22S2PREYQNDXBODWGJDLDO4","download_json":"https://pith.science/pith/DAZ22S2PREYQNDXBODWGJDLDO4.json","view_paper":"https://pith.science/paper/DAZ22S2P","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.23784&json=true","fetch_graph":"https://pith.science/api/pith-number/DAZ22S2PREYQNDXBODWGJDLDO4/graph.json","fetch_events":"https://pith.science/api/pith-number/DAZ22S2PREYQNDXBODWGJDLDO4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DAZ22S2PREYQNDXBODWGJDLDO4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DAZ22S2PREYQNDXBODWGJDLDO4/action/storage_attestation","attest_author":"https://pith.science/pith/DAZ22S2PREYQNDXBODWGJDLDO4/action/author_attestation","sign_citation":"https://pith.science/pith/DAZ22S2PREYQNDXBODWGJDLDO4/action/citation_signature","submit_replication":"https://pith.science/pith/DAZ22S2PREYQNDXBODWGJDLDO4/action/replication_record"}},"created_at":"2026-07-28T01:23:10.968027+00:00","updated_at":"2026-07-28T01:23:10.968027+00:00"}