{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:HEUCNSXALLJ4O2AYX3SF4DEAYH","short_pith_number":"pith:HEUCNSXA","canonical_record":{"source":{"id":"2606.24689","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SE","submitted_at":"2026-06-23T15:18:17Z","cross_cats_sorted":[],"title_canon_sha256":"e23cb3246bbd07805dc02aa96cf28346b3d0639790c18e8c64143177203e10c2","abstract_canon_sha256":"abe9660ae34a0c53c54565c10c53c73fe4a54f619271049e7b7b7b87fd76f9d9"},"schema_version":"1.0"},"canonical_sha256":"392826cae05ad3c76818bee45e0c80c1d5cbe012b23293a2d65310e62ad7a9a6","source":{"kind":"arxiv","id":"2606.24689","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"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:HEUCNSXALLJ4O2AYX3SF4DEAYH","target":"record","payload":{"canonical_record":{"source":{"id":"2606.24689","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SE","submitted_at":"2026-06-23T15:18:17Z","cross_cats_sorted":[],"title_canon_sha256":"e23cb3246bbd07805dc02aa96cf28346b3d0639790c18e8c64143177203e10c2","abstract_canon_sha256":"abe9660ae34a0c53c54565c10c53c73fe4a54f619271049e7b7b7b87fd76f9d9"},"schema_version":"1.0"},"canonical_sha256":"392826cae05ad3c76818bee45e0c80c1d5cbe012b23293a2d65310e62ad7a9a6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-24T01:15:39.278651Z","signature_b64":"8mlFx2Gouwq07UTsqwMBBn9dnFs76XJ2X50aW8Hojffhx7jIsqfGKlfs5r7YDgWSdoECYzxkILEqrCPP2Z0QCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"392826cae05ad3c76818bee45e0c80c1d5cbe012b23293a2d65310e62ad7a9a6","last_reissued_at":"2026-06-24T01:15:39.278217Z","signature_status":"signed_v1","first_computed_at":"2026-06-24T01:15:39.278217Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.24689","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-24T01:15:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fzK1eZMOjXZcu6LDhgz7s1hELBZxp2K0iLMK2BAqYnb0cuIQRJLCYk1vgKRFzGO8mZ0bu0eYV5G0XFbWVfitCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T05:18:30.050236Z"},"content_sha256":"9d382176eabe209fca94714ba09a6463b84738de8851323fcd0188592ea32f3a","schema_version":"1.0","event_id":"sha256:9d382176eabe209fca94714ba09a6463b84738de8851323fcd0188592ea32f3a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:HEUCNSXALLJ4O2AYX3SF4DEAYH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Automated Summarization of Software Documents: An LLM-based Multi-Agent Approach","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Davide Di Ruscio, Duc S. H. Nguyen, Juri Di Rocco, Minh T. Nguyen, Phuong T. Nguyen","submitted_at":"2026-06-23T15:18:17Z","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"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.24689","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/2606.24689/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-24T01:15:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hErzv4lN9RyTaQ3s8ZW7BW3sI9QErJzxEvsOisjWF7C0o7u6kToy6Nu+Tpa7sfQXmfbQKZ1HQFqTqCHE+4GZAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T05:18:30.050722Z"},"content_sha256":"a1c0961f08320696538faf59a7228f6f89606f719f4a71743587b72ec85dbc98","schema_version":"1.0","event_id":"sha256:a1c0961f08320696538faf59a7228f6f89606f719f4a71743587b72ec85dbc98"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HEUCNSXALLJ4O2AYX3SF4DEAYH/bundle.json","state_url":"https://pith.science/pith/HEUCNSXALLJ4O2AYX3SF4DEAYH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HEUCNSXALLJ4O2AYX3SF4DEAYH/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-28T05:18:30Z","links":{"resolver":"https://pith.science/pith/HEUCNSXALLJ4O2AYX3SF4DEAYH","bundle":"https://pith.science/pith/HEUCNSXALLJ4O2AYX3SF4DEAYH/bundle.json","state":"https://pith.science/pith/HEUCNSXALLJ4O2AYX3SF4DEAYH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HEUCNSXALLJ4O2AYX3SF4DEAYH/bundle.json"},"state":{"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"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SrtawhIPbYaozlmwsrmPDRe/ivV5tfd3gEPbdTTNfuBT3VY6BsMfxmUeAjvv3MIZntK40pYrSlE5LdMfLEc8AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T05:18:30.053237Z","bundle_sha256":"da6d76c1d734cd69f04cc80b4ff654626e334a2af6170e4beec15603325c5c07"}}