{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:JIEDOL2ZYKXJX52VGBGBSBNU23","short_pith_number":"pith:JIEDOL2Z","schema_version":"1.0","canonical_sha256":"4a08372f59c2ae9bf755304c1905b4d6e8e26f74cb46b7377751d879816e1ef0","source":{"kind":"arxiv","id":"2605.22349","version":1},"attestation_state":"computed","paper":{"title":"At What Cost? Software Developers' Well-Being in the Age of GenAI","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Maduka Subasinghage, Mariam Guizani, Sherlock A. Licorish, Sofia Ouhbi","submitted_at":"2026-05-21T11:35:31Z","abstract_excerpt":"Generative Artificial Intelligence (GenAI) is rapidly reshaping software development, with growing emphasis on accelerating productivity and optimizing performance. However, excessive focus on such dimensions risks overlooking the critical implications for developer well-being. GenAI tools can amplify cognitive load, introduce new forms of oversight labor, and escalate expectations around output and pace, contributing to stress, burnout, and diminished work-life balance. The GenAI movement is also transforming professional norms, altering career entry points, demanding continuous adaptation, a"},"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":"2605.22349","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2026-05-21T11:35:31Z","cross_cats_sorted":[],"title_canon_sha256":"3d143d297545be84c1df4f0fabea671a50b7131157ed3bfde24f32f842a2624d","abstract_canon_sha256":"becc1fa6bbcac4283a7a8853c3bb80bde14c45c1ed5f5c6934f2b40c8a1836d8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-22T01:04:38.978630Z","signature_b64":"lkoj7tyLI03VcVQRVGdgZOsSvgrLjlxo7BK2sW/IDvDG3Fko1KQRSxVVT92oOZoptb9mpQpOnoWMdUydGgq7Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4a08372f59c2ae9bf755304c1905b4d6e8e26f74cb46b7377751d879816e1ef0","last_reissued_at":"2026-05-22T01:04:38.977911Z","signature_status":"signed_v1","first_computed_at":"2026-05-22T01:04:38.977911Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"At What Cost? Software Developers' Well-Being in the Age of GenAI","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Maduka Subasinghage, Mariam Guizani, Sherlock A. Licorish, Sofia Ouhbi","submitted_at":"2026-05-21T11:35:31Z","abstract_excerpt":"Generative Artificial Intelligence (GenAI) is rapidly reshaping software development, with growing emphasis on accelerating productivity and optimizing performance. However, excessive focus on such dimensions risks overlooking the critical implications for developer well-being. GenAI tools can amplify cognitive load, introduce new forms of oversight labor, and escalate expectations around output and pace, contributing to stress, burnout, and diminished work-life balance. The GenAI movement is also transforming professional norms, altering career entry points, demanding continuous adaptation, a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.22349","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/2605.22349/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":"2605.22349","created_at":"2026-05-22T01:04:38.978018+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.22349v1","created_at":"2026-05-22T01:04:38.978018+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.22349","created_at":"2026-05-22T01:04:38.978018+00:00"},{"alias_kind":"pith_short_12","alias_value":"JIEDOL2ZYKXJ","created_at":"2026-05-22T01:04:38.978018+00:00"},{"alias_kind":"pith_short_16","alias_value":"JIEDOL2ZYKXJX52V","created_at":"2026-05-22T01:04:38.978018+00:00"},{"alias_kind":"pith_short_8","alias_value":"JIEDOL2Z","created_at":"2026-05-22T01:04:38.978018+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/JIEDOL2ZYKXJX52VGBGBSBNU23","json":"https://pith.science/pith/JIEDOL2ZYKXJX52VGBGBSBNU23.json","graph_json":"https://pith.science/api/pith-number/JIEDOL2ZYKXJX52VGBGBSBNU23/graph.json","events_json":"https://pith.science/api/pith-number/JIEDOL2ZYKXJX52VGBGBSBNU23/events.json","paper":"https://pith.science/paper/JIEDOL2Z"},"agent_actions":{"view_html":"https://pith.science/pith/JIEDOL2ZYKXJX52VGBGBSBNU23","download_json":"https://pith.science/pith/JIEDOL2ZYKXJX52VGBGBSBNU23.json","view_paper":"https://pith.science/paper/JIEDOL2Z","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.22349&json=true","fetch_graph":"https://pith.science/api/pith-number/JIEDOL2ZYKXJX52VGBGBSBNU23/graph.json","fetch_events":"https://pith.science/api/pith-number/JIEDOL2ZYKXJX52VGBGBSBNU23/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JIEDOL2ZYKXJX52VGBGBSBNU23/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JIEDOL2ZYKXJX52VGBGBSBNU23/action/storage_attestation","attest_author":"https://pith.science/pith/JIEDOL2ZYKXJX52VGBGBSBNU23/action/author_attestation","sign_citation":"https://pith.science/pith/JIEDOL2ZYKXJX52VGBGBSBNU23/action/citation_signature","submit_replication":"https://pith.science/pith/JIEDOL2ZYKXJX52VGBGBSBNU23/action/replication_record"}},"created_at":"2026-05-22T01:04:38.978018+00:00","updated_at":"2026-05-22T01:04:38.978018+00:00"}