{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:NO55YTD4IPALCAFTWU2U4YV5I2","short_pith_number":"pith:NO55YTD4","schema_version":"1.0","canonical_sha256":"6bbbdc4c7c43c0b100b3b5354e62bd46b6b5fbd6e60925129c377af94af6c270","source":{"kind":"arxiv","id":"2605.08380","version":2},"attestation_state":"computed","paper":{"title":"What Software Engineering Looks Like to AI Agents? -- An Empirical Study of AI-Only Technical Discourse on MoltBook","license":"http://creativecommons.org/licenses/by/4.0/","headline":"AI agents produce coherent technical discussions that focus on security and trust while omitting concrete runtime details common in human developer exchanges.","cross_cats":["cs.AI"],"primary_cat":"cs.SE","authors_text":"Gouri Ginde, Junyu Huo, Zihao Wan, Ziqi Mao","submitted_at":"2026-05-08T18:38:30Z","abstract_excerpt":"AI agents are increasingly framed as software-engineering teammates, yet most studies examine them inside human-centered workflows. Little is known about the discourse autonomous AI agents produce when they interact mainly with one another. This paper examines what autonomous agents discuss on MoltBook, how that discourse is organized, and how it differs from human developer discourse. We combine human open coding of a 500-post sample, a concentration-plus-check topic-analysis pipeline over 4,707 English-filtered MoltBook technology posts, and a matched comparison with 5,211 human-generated Gi"},"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":"2605.08380","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-05-08T18:38:30Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"273244f67fe43b1be6e056f2a87329110e5250923da0d15961dfc614061de5d7","abstract_canon_sha256":"6f8351756528906a4b0c0d1cc250ee25c5f0578574c5d772580ce5e6ea0b86bc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-22T01:04:05.551695Z","signature_b64":"/yYt2iGO9D2GlwRB2XmEMaea2Jz6pX201cJ+vvL1DFpuWXTHdtOOx3jAkJYOmgGThjvEP3RZH3vDc+1TnuwfCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6bbbdc4c7c43c0b100b3b5354e62bd46b6b5fbd6e60925129c377af94af6c270","last_reissued_at":"2026-05-22T01:04:05.551012Z","signature_status":"signed_v1","first_computed_at":"2026-05-22T01:04:05.551012Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"What Software Engineering Looks Like to AI Agents? -- An Empirical Study of AI-Only Technical Discourse on MoltBook","license":"http://creativecommons.org/licenses/by/4.0/","headline":"AI agents produce coherent technical discussions that focus on security and trust while omitting concrete runtime details common in human developer exchanges.","cross_cats":["cs.AI"],"primary_cat":"cs.SE","authors_text":"Gouri Ginde, Junyu Huo, Zihao Wan, Ziqi Mao","submitted_at":"2026-05-08T18:38:30Z","abstract_excerpt":"AI agents are increasingly framed as software-engineering teammates, yet most studies examine them inside human-centered workflows. Little is known about the discourse autonomous AI agents produce when they interact mainly with one another. This paper examines what autonomous agents discuss on MoltBook, how that discourse is organized, and how it differs from human developer discourse. We combine human open coding of a 500-post sample, a concentration-plus-check topic-analysis pipeline over 4,707 English-filtered MoltBook technology posts, and a matched comparison with 5,211 human-generated Gi"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"AI-only technical discourse is coherent but selective. It repeatedly returns to concerns such as security and trust, memory and context management, tooling and APIs, debugging and error handling, workflow automation, and infrastructure/ops, while omitting much of the concrete runtime and project-local detail common in human developer discourse.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"That MoltBook posts represent truly autonomous AI-agent interactions free of human prompting or platform artifacts, and that the GitHub Discussions sample forms a fair, unbiased baseline for human developer discourse.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"AI-only technical discourse on MoltBook is coherent and organized around 12 themes led by security and trust, but it lacks the concrete code, runtime failures, and reproduction steps common in human GitHub discussions.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"AI agents produce coherent technical discussions that focus on security and trust while omitting concrete runtime details common in human developer exchanges.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"75d63a4a8e937d2bb2740a756e883d393aeb52168acfbc57b407fed6406cfa86"},"source":{"id":"2605.08380","kind":"arxiv","version":2},"verdict":{"id":"0be7023f-28f4-4e1e-b359-6a7c5b9d5fee","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-12T01:17:30.552497Z","strongest_claim":"AI-only technical discourse is coherent but selective. It repeatedly returns to concerns such as security and trust, memory and context management, tooling and APIs, debugging and error handling, workflow automation, and infrastructure/ops, while omitting much of the concrete runtime and project-local detail common in human developer discourse.","one_line_summary":"AI-only technical discourse on MoltBook is coherent and organized around 12 themes led by security and trust, but it lacks the concrete code, runtime failures, and reproduction steps common in human GitHub discussions.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"That MoltBook posts represent truly autonomous AI-agent interactions free of human prompting or platform artifacts, and that the GitHub Discussions sample forms a fair, unbiased baseline for human developer discourse.","pith_extraction_headline":"AI agents produce coherent technical discussions that focus on security and trust while omitting concrete runtime details common in human developer exchanges."},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2605.08380/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"claim_evidence","ran_at":"2026-05-20T09:42:04.180220Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"ai_meta_artifact","ran_at":"2026-05-20T04:37:46.372353Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"doi_title_agreement","ran_at":"2026-05-19T15:01:18.171670Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"doi_compliance","ran_at":"2026-05-19T11:11:01.226066Z","status":"completed","version":"1.0.0","findings_count":0}],"snapshot_sha256":"2113992f1b2b46e4e9cabb9aae102d137c1db3c02e533c754c5ee78478eefc24"},"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":"2605.08380","created_at":"2026-05-22T01:04:05.551118+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.08380v2","created_at":"2026-05-22T01:04:05.551118+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.08380","created_at":"2026-05-22T01:04:05.551118+00:00"},{"alias_kind":"pith_short_12","alias_value":"NO55YTD4IPAL","created_at":"2026-05-22T01:04:05.551118+00:00"},{"alias_kind":"pith_short_16","alias_value":"NO55YTD4IPALCAFT","created_at":"2026-05-22T01:04:05.551118+00:00"},{"alias_kind":"pith_short_8","alias_value":"NO55YTD4","created_at":"2026-05-22T01:04:05.551118+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/NO55YTD4IPALCAFTWU2U4YV5I2","json":"https://pith.science/pith/NO55YTD4IPALCAFTWU2U4YV5I2.json","graph_json":"https://pith.science/api/pith-number/NO55YTD4IPALCAFTWU2U4YV5I2/graph.json","events_json":"https://pith.science/api/pith-number/NO55YTD4IPALCAFTWU2U4YV5I2/events.json","paper":"https://pith.science/paper/NO55YTD4"},"agent_actions":{"view_html":"https://pith.science/pith/NO55YTD4IPALCAFTWU2U4YV5I2","download_json":"https://pith.science/pith/NO55YTD4IPALCAFTWU2U4YV5I2.json","view_paper":"https://pith.science/paper/NO55YTD4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.08380&json=true","fetch_graph":"https://pith.science/api/pith-number/NO55YTD4IPALCAFTWU2U4YV5I2/graph.json","fetch_events":"https://pith.science/api/pith-number/NO55YTD4IPALCAFTWU2U4YV5I2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NO55YTD4IPALCAFTWU2U4YV5I2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NO55YTD4IPALCAFTWU2U4YV5I2/action/storage_attestation","attest_author":"https://pith.science/pith/NO55YTD4IPALCAFTWU2U4YV5I2/action/author_attestation","sign_citation":"https://pith.science/pith/NO55YTD4IPALCAFTWU2U4YV5I2/action/citation_signature","submit_replication":"https://pith.science/pith/NO55YTD4IPALCAFTWU2U4YV5I2/action/replication_record"}},"created_at":"2026-05-22T01:04:05.551118+00:00","updated_at":"2026-05-22T01:04:05.551118+00:00"}