{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:SR32OD5JDXOG3TPZNUFVZTYVQC","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"4ba4be6428394f03686798cab94ec2eec5b98733f1d0e0a7ba323a2873a09f56","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-06T11:22:25Z","title_canon_sha256":"1388d8a43d0f1b9f623153367fd9d71d6196f2ea107dcb172db8775cf654920a"},"schema_version":"1.0","source":{"id":"2607.04948","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.04948","created_at":"2026-07-07T02:20:14Z"},{"alias_kind":"arxiv_version","alias_value":"2607.04948v1","created_at":"2026-07-07T02:20:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.04948","created_at":"2026-07-07T02:20:14Z"},{"alias_kind":"pith_short_12","alias_value":"SR32OD5JDXOG","created_at":"2026-07-07T02:20:14Z"},{"alias_kind":"pith_short_16","alias_value":"SR32OD5JDXOG3TPZ","created_at":"2026-07-07T02:20:14Z"},{"alias_kind":"pith_short_8","alias_value":"SR32OD5J","created_at":"2026-07-07T02:20:14Z"}],"graph_snapshots":[{"event_id":"sha256:1475a462e89f011644e27056153e5d18ab1d46afb8480d3e9fadcd05aaab3fe9","target":"graph","created_at":"2026-07-07T02:20:14Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2607.04948/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Integrating AI agents into Software Engineering (SE) raises an important challenge: how can we specify and realize AI agents that work effectively alongside humans in hybrid SE teams? Determining the right granularity and separation of concerns for such agents is non-trivial. Coarse-grained agents may introduce unmanageable complexity, whereas micro-agents may create severe coordination overhead. Moreover, existing multi-agent SE frameworks typically rely on predefined role structures and do not account for project-specific characteristics or process adaptations. We address this by combining o","authors_text":"Andreas Metzger, Fabiana Fournier, Lior Limonad, Saimir Bala","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-06T11:22:25Z","title":"Using Process Mining to Generate AI Agents from Software Engineering Process Records"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.04948","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:21a86466c8fa631d3e023be6f940893af385fa074eb91fcd33f85ed353738840","target":"record","created_at":"2026-07-07T02:20:14Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"4ba4be6428394f03686798cab94ec2eec5b98733f1d0e0a7ba323a2873a09f56","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-06T11:22:25Z","title_canon_sha256":"1388d8a43d0f1b9f623153367fd9d71d6196f2ea107dcb172db8775cf654920a"},"schema_version":"1.0","source":{"id":"2607.04948","kind":"arxiv","version":1}},"canonical_sha256":"9477a70fa91ddc6dcdf96d0b5ccf1580ae1e35fe39e52a3349cc44df209791e0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9477a70fa91ddc6dcdf96d0b5ccf1580ae1e35fe39e52a3349cc44df209791e0","first_computed_at":"2026-07-07T02:20:14.931684Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-07T02:20:14.931684Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"a259AIX7Fufg5gS/nRpmRAIGFkcF0qOmySCMkGb/NFW08nX3OM89oX79ZezJlJUqmyMCXZ7ACYqa6gvCdmqJAQ==","signature_status":"signed_v1","signed_at":"2026-07-07T02:20:14.932427Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.04948","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:21a86466c8fa631d3e023be6f940893af385fa074eb91fcd33f85ed353738840","sha256:1475a462e89f011644e27056153e5d18ab1d46afb8480d3e9fadcd05aaab3fe9"],"state_sha256":"c442139b6601d87fc5422ffbc34e72e07502993dc323a081f8c8a68b0aeebe20"}