{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:UH4DYIXQK3AC2NHT5S6FOZDMFP","short_pith_number":"pith:UH4DYIXQ","schema_version":"1.0","canonical_sha256":"a1f83c22f056c02d34f3ecbc57646c2bfa2f2da84a9347617b66bcef5e73abcf","source":{"kind":"arxiv","id":"2605.29559","version":1},"attestation_state":"computed","paper":{"title":"LiteCoder-Terminal: Scaling Long-Horizon Terminal Environments for Learning Language Agents","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Boxi Cao, Hongyu Lin, Kaiqi Zhang, Le Sun, Xianpei Han, Xiaoxuan Peng, Xinyu Lu, Yaojie Lu","submitted_at":"2026-05-28T08:11:57Z","abstract_excerpt":"Mastering terminal environments requires language agents capable of multi-step planning, feedback-grounded execution, and dynamic state adaptation. However, training such agents is currently bottlenecked by a reliance on scraped external repositories, which limits domain diversity, environment controllability, and the targeting of specific capability deficits. We introduce LiteCoder-Terminal-Gen, a zero-dependency synthesis pipeline that autonomously generates executable and verifiable terminal training environments directly from domain specifications. Using this framework, we construct two la"},"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":"2605.29559","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-28T08:11:57Z","cross_cats_sorted":[],"title_canon_sha256":"ec8785c62dd71a5fc80f2325636ed4cf690b817bd27e94b6976bac9cadf4344f","abstract_canon_sha256":"a3aa393f141cbaf22b137d50dda15bbf4e93fb32d85925b0c99137a3f1e71557"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-29T01:05:47.299508Z","signature_b64":"hQoTQjdBQItdprzBPt6/ZTgz+Qfcb/JE3A055+HdoDbqfUQ2fK9DuTWQNMKfNH15/+O/ClVxTFXZ0Rp3O+2wDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a1f83c22f056c02d34f3ecbc57646c2bfa2f2da84a9347617b66bcef5e73abcf","last_reissued_at":"2026-05-29T01:05:47.298701Z","signature_status":"signed_v1","first_computed_at":"2026-05-29T01:05:47.298701Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"LiteCoder-Terminal: Scaling Long-Horizon Terminal Environments for Learning Language Agents","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Boxi Cao, Hongyu Lin, Kaiqi Zhang, Le Sun, Xianpei Han, Xiaoxuan Peng, Xinyu Lu, Yaojie Lu","submitted_at":"2026-05-28T08:11:57Z","abstract_excerpt":"Mastering terminal environments requires language agents capable of multi-step planning, feedback-grounded execution, and dynamic state adaptation. However, training such agents is currently bottlenecked by a reliance on scraped external repositories, which limits domain diversity, environment controllability, and the targeting of specific capability deficits. We introduce LiteCoder-Terminal-Gen, a zero-dependency synthesis pipeline that autonomously generates executable and verifiable terminal training environments directly from domain specifications. Using this framework, we construct two la"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.29559","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/2605.29559/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":"2605.29559","created_at":"2026-05-29T01:05:47.298828+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.29559v1","created_at":"2026-05-29T01:05:47.298828+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.29559","created_at":"2026-05-29T01:05:47.298828+00:00"},{"alias_kind":"pith_short_12","alias_value":"UH4DYIXQK3AC","created_at":"2026-05-29T01:05:47.298828+00:00"},{"alias_kind":"pith_short_16","alias_value":"UH4DYIXQK3AC2NHT","created_at":"2026-05-29T01:05:47.298828+00:00"},{"alias_kind":"pith_short_8","alias_value":"UH4DYIXQ","created_at":"2026-05-29T01:05:47.298828+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/UH4DYIXQK3AC2NHT5S6FOZDMFP","json":"https://pith.science/pith/UH4DYIXQK3AC2NHT5S6FOZDMFP.json","graph_json":"https://pith.science/api/pith-number/UH4DYIXQK3AC2NHT5S6FOZDMFP/graph.json","events_json":"https://pith.science/api/pith-number/UH4DYIXQK3AC2NHT5S6FOZDMFP/events.json","paper":"https://pith.science/paper/UH4DYIXQ"},"agent_actions":{"view_html":"https://pith.science/pith/UH4DYIXQK3AC2NHT5S6FOZDMFP","download_json":"https://pith.science/pith/UH4DYIXQK3AC2NHT5S6FOZDMFP.json","view_paper":"https://pith.science/paper/UH4DYIXQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.29559&json=true","fetch_graph":"https://pith.science/api/pith-number/UH4DYIXQK3AC2NHT5S6FOZDMFP/graph.json","fetch_events":"https://pith.science/api/pith-number/UH4DYIXQK3AC2NHT5S6FOZDMFP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UH4DYIXQK3AC2NHT5S6FOZDMFP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UH4DYIXQK3AC2NHT5S6FOZDMFP/action/storage_attestation","attest_author":"https://pith.science/pith/UH4DYIXQK3AC2NHT5S6FOZDMFP/action/author_attestation","sign_citation":"https://pith.science/pith/UH4DYIXQK3AC2NHT5S6FOZDMFP/action/citation_signature","submit_replication":"https://pith.science/pith/UH4DYIXQK3AC2NHT5S6FOZDMFP/action/replication_record"}},"created_at":"2026-05-29T01:05:47.298828+00:00","updated_at":"2026-05-29T01:05:47.298828+00:00"}