{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:HEUCNSXALLJ4O2AYX3SF4DEAYH","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":"abe9660ae34a0c53c54565c10c53c73fe4a54f619271049e7b7b7b87fd76f9d9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SE","submitted_at":"2026-06-23T15:18:17Z","title_canon_sha256":"e23cb3246bbd07805dc02aa96cf28346b3d0639790c18e8c64143177203e10c2"},"schema_version":"1.0","source":{"id":"2606.24689","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.24689","created_at":"2026-06-24T01:15:39Z"},{"alias_kind":"arxiv_version","alias_value":"2606.24689v1","created_at":"2026-06-24T01:15:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.24689","created_at":"2026-06-24T01:15:39Z"},{"alias_kind":"pith_short_12","alias_value":"HEUCNSXALLJ4","created_at":"2026-06-24T01:15:39Z"},{"alias_kind":"pith_short_16","alias_value":"HEUCNSXALLJ4O2AY","created_at":"2026-06-24T01:15:39Z"},{"alias_kind":"pith_short_8","alias_value":"HEUCNSXA","created_at":"2026-06-24T01:15:39Z"}],"graph_snapshots":[{"event_id":"sha256:a1c0961f08320696538faf59a7228f6f89606f719f4a71743587b72ec85dbc98","target":"graph","created_at":"2026-06-24T01:15:39Z","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/2606.24689/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) and LLM-based Multi-Agent Systems (MAS) are revolutionizing software engineering (SE) by advancing automation, decision-making, and knowledge processing. Their recent application to SE tasks has already shown promising results. In this paper, we focus on summarization as a key application area. We present Metagente, an LLM-based MAS designed to generate concise and accurate summaries of software documentation. Metagente employs a Teacher-Student architecture where multiple LLM agents collaborate to enhance relevance and precision of produced summaries. An empirical","authors_text":"Davide Di Ruscio, Duc S. H. Nguyen, Juri Di Rocco, Minh T. Nguyen, Phuong T. Nguyen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SE","submitted_at":"2026-06-23T15:18:17Z","title":"Automated Summarization of Software Documents: An LLM-based Multi-Agent Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.24689","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":"sha256:9d382176eabe209fca94714ba09a6463b84738de8851323fcd0188592ea32f3a","target":"record","created_at":"2026-06-24T01:15:39Z","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":"abe9660ae34a0c53c54565c10c53c73fe4a54f619271049e7b7b7b87fd76f9d9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SE","submitted_at":"2026-06-23T15:18:17Z","title_canon_sha256":"e23cb3246bbd07805dc02aa96cf28346b3d0639790c18e8c64143177203e10c2"},"schema_version":"1.0","source":{"id":"2606.24689","kind":"arxiv","version":1}},"canonical_sha256":"392826cae05ad3c76818bee45e0c80c1d5cbe012b23293a2d65310e62ad7a9a6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"392826cae05ad3c76818bee45e0c80c1d5cbe012b23293a2d65310e62ad7a9a6","first_computed_at":"2026-06-24T01:15:39.278217Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-24T01:15:39.278217Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8mlFx2Gouwq07UTsqwMBBn9dnFs76XJ2X50aW8Hojffhx7jIsqfGKlfs5r7YDgWSdoECYzxkILEqrCPP2Z0QCw==","signature_status":"signed_v1","signed_at":"2026-06-24T01:15:39.278651Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.24689","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9d382176eabe209fca94714ba09a6463b84738de8851323fcd0188592ea32f3a","sha256:a1c0961f08320696538faf59a7228f6f89606f719f4a71743587b72ec85dbc98"],"state_sha256":"dda4ef0c2216ecd62b67746e41f740bddb2fc21848870b59629ecb93321fb5a3"}