{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:XUTNDPHR5APDRQ7P46UHKBEYYZ","short_pith_number":"pith:XUTNDPHR","schema_version":"1.0","canonical_sha256":"bd26d1bcf1e81e38c3efe7a8750498c64cc8a10ef77ccfdbf4b95cca76e54012","source":{"kind":"arxiv","id":"2607.22917","version":1},"attestation_state":"computed","paper":{"title":"Agent Team Work Zone: An Automated, Persistent Workspace for Long-Lived Coding Agent Teams","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","cs.MA"],"primary_cat":"cs.AI","authors_text":"Shouren Wang","submitted_at":"2026-07-24T21:11:18Z","abstract_excerpt":"Large Language Model (LLM) agents have significantly improved coding and programming workflows. Claude Code, in particular, is one of the most powerful LLM coding agents and is capable of conducting complex coding tasks. However, several drawbacks can undermine long-term agentic workflows. (1) Irrecoverable agent teams: The Agent Teams feature is powerful, but the working state accumulated by each teammate is lost and cannot be resumed once the process stops, for example, when a terminal is closed. (2) Compaction erodes working detail: Compaction condenses the conversation into a summary, caus"},"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":"2607.22917","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-24T21:11:18Z","cross_cats_sorted":["cs.LG","cs.MA"],"title_canon_sha256":"c147e36d094a88dbda9a3a868b0cbd4699e5eacf4f990742067c141e28898c85","abstract_canon_sha256":"5c6fcf58d0294ffcc953461c21f15827bb0c251de9897054b500d04ba3c0e796"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-28T00:22:02.030782Z","signature_b64":"Fsopp6wpR5Td/FPk3NGjaVxgynBiwPk2thN5iZUqQghmsAaxO7iI+uMLSyZx7eSxcNDQxqtQ51PvbisFoT8OCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bd26d1bcf1e81e38c3efe7a8750498c64cc8a10ef77ccfdbf4b95cca76e54012","last_reissued_at":"2026-07-28T00:22:02.029935Z","signature_status":"signed_v1","first_computed_at":"2026-07-28T00:22:02.029935Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Agent Team Work Zone: An Automated, Persistent Workspace for Long-Lived Coding Agent Teams","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","cs.MA"],"primary_cat":"cs.AI","authors_text":"Shouren Wang","submitted_at":"2026-07-24T21:11:18Z","abstract_excerpt":"Large Language Model (LLM) agents have significantly improved coding and programming workflows. Claude Code, in particular, is one of the most powerful LLM coding agents and is capable of conducting complex coding tasks. However, several drawbacks can undermine long-term agentic workflows. (1) Irrecoverable agent teams: The Agent Teams feature is powerful, but the working state accumulated by each teammate is lost and cannot be resumed once the process stops, for example, when a terminal is closed. (2) Compaction erodes working detail: Compaction condenses the conversation into a summary, caus"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.22917","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/2607.22917/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":"2607.22917","created_at":"2026-07-28T00:22:02.030374+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.22917v1","created_at":"2026-07-28T00:22:02.030374+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.22917","created_at":"2026-07-28T00:22:02.030374+00:00"},{"alias_kind":"pith_short_12","alias_value":"XUTNDPHR5APD","created_at":"2026-07-28T00:22:02.030374+00:00"},{"alias_kind":"pith_short_16","alias_value":"XUTNDPHR5APDRQ7P","created_at":"2026-07-28T00:22:02.030374+00:00"},{"alias_kind":"pith_short_8","alias_value":"XUTNDPHR","created_at":"2026-07-28T00:22:02.030374+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/XUTNDPHR5APDRQ7P46UHKBEYYZ","json":"https://pith.science/pith/XUTNDPHR5APDRQ7P46UHKBEYYZ.json","graph_json":"https://pith.science/api/pith-number/XUTNDPHR5APDRQ7P46UHKBEYYZ/graph.json","events_json":"https://pith.science/api/pith-number/XUTNDPHR5APDRQ7P46UHKBEYYZ/events.json","paper":"https://pith.science/paper/XUTNDPHR"},"agent_actions":{"view_html":"https://pith.science/pith/XUTNDPHR5APDRQ7P46UHKBEYYZ","download_json":"https://pith.science/pith/XUTNDPHR5APDRQ7P46UHKBEYYZ.json","view_paper":"https://pith.science/paper/XUTNDPHR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.22917&json=true","fetch_graph":"https://pith.science/api/pith-number/XUTNDPHR5APDRQ7P46UHKBEYYZ/graph.json","fetch_events":"https://pith.science/api/pith-number/XUTNDPHR5APDRQ7P46UHKBEYYZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XUTNDPHR5APDRQ7P46UHKBEYYZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XUTNDPHR5APDRQ7P46UHKBEYYZ/action/storage_attestation","attest_author":"https://pith.science/pith/XUTNDPHR5APDRQ7P46UHKBEYYZ/action/author_attestation","sign_citation":"https://pith.science/pith/XUTNDPHR5APDRQ7P46UHKBEYYZ/action/citation_signature","submit_replication":"https://pith.science/pith/XUTNDPHR5APDRQ7P46UHKBEYYZ/action/replication_record"}},"created_at":"2026-07-28T00:22:02.030374+00:00","updated_at":"2026-07-28T00:22:02.030374+00:00"}