{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:W4NUFF7WZLANDY4HFGGUZVL73I","short_pith_number":"pith:W4NUFF7W","canonical_record":{"source":{"id":"2409.16299","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.SE","submitted_at":"2024-09-09T19:35:34Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"e17c153828ab1c27fe9612f3d167a108b0a42c701e0ac3536a932a6a73707c91","abstract_canon_sha256":"0db93a0282111350c51b35ef5b9919923071da3fa287383fd68d00af33b1a47c"},"schema_version":"1.0"},"canonical_sha256":"b71b4297f6cac0d1e387298d4cd57fda0b88cdf6eb30a1130e949c4445c6e214","source":{"kind":"arxiv","id":"2409.16299","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.16299","created_at":"2026-07-05T12:05:10Z"},{"alias_kind":"arxiv_version","alias_value":"2409.16299v3","created_at":"2026-07-05T12:05:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.16299","created_at":"2026-07-05T12:05:10Z"},{"alias_kind":"pith_short_12","alias_value":"W4NUFF7WZLAN","created_at":"2026-07-05T12:05:10Z"},{"alias_kind":"pith_short_16","alias_value":"W4NUFF7WZLANDY4H","created_at":"2026-07-05T12:05:10Z"},{"alias_kind":"pith_short_8","alias_value":"W4NUFF7W","created_at":"2026-07-05T12:05:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:W4NUFF7WZLANDY4HFGGUZVL73I","target":"record","payload":{"canonical_record":{"source":{"id":"2409.16299","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.SE","submitted_at":"2024-09-09T19:35:34Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"e17c153828ab1c27fe9612f3d167a108b0a42c701e0ac3536a932a6a73707c91","abstract_canon_sha256":"0db93a0282111350c51b35ef5b9919923071da3fa287383fd68d00af33b1a47c"},"schema_version":"1.0"},"canonical_sha256":"b71b4297f6cac0d1e387298d4cd57fda0b88cdf6eb30a1130e949c4445c6e214","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:05:10.290520Z","signature_b64":"50OSpb7rT5NgCF393ETDgKwFD7KNIF4rcOGbu0dZ1GvCPw5TlF340/2Ajf9tfdqhQtDzjaXMqwf0M1N+UjEPDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b71b4297f6cac0d1e387298d4cd57fda0b88cdf6eb30a1130e949c4445c6e214","last_reissued_at":"2026-07-05T12:05:10.289948Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:05:10.289948Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.16299","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T12:05:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HZfytxR9q7+pNlRV6nOQxIR6kIaTY0edEnICUxygGCTX7JfvMaL18YzM5Rj4+Yp0iLI2oAqZO0YCWcA1ScHACg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T23:58:55.522224Z"},"content_sha256":"6d7b58e37d3b6197995b12d689c633e8e832c1f5de9de24fd5c3e558e054d987","schema_version":"1.0","event_id":"sha256:6d7b58e37d3b6197995b12d689c633e8e832c1f5de9de24fd5c3e558e054d987"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:W4NUFF7WZLANDY4HFGGUZVL73I","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"HyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks at Scale","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.SE","authors_text":"Huy Nhat Phan, Nghi D. Q. Bui, Phong X. Nguyen, Tien N. Nguyen","submitted_at":"2024-09-09T19:35:34Z","abstract_excerpt":"Large Language Models (LLMs) have revolutionized software engineering (SE), showcasing remarkable proficiency in various coding tasks. Despite recent advancements that have enabled the creation of autonomous software agents utilizing LLMs for end-to-end development tasks, these systems are typically designed for specific SE functions. We introduce HyperAgent, an innovative generalist multi-agent system designed to tackle a wide range of SE tasks across different programming languages by mimicking the workflows of human developers. HyperAgent features four specialized agents-Planner, Navigator,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.16299","kind":"arxiv","version":3},"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/2409.16299/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":"2026-07-05T12:05:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8L+MNYhyMcJZDrjhvCW9IIl/hU9lASwdKH0dLIXwZ0RyiI/Vnt19yIOk70EETiTQZjypMNB+7tKvtUWcopsTDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T23:58:55.522840Z"},"content_sha256":"905025f7bb28d0d8a8410cb685cfef6e8d3f5ee7d538a5588ac312f9ef202d97","schema_version":"1.0","event_id":"sha256:905025f7bb28d0d8a8410cb685cfef6e8d3f5ee7d538a5588ac312f9ef202d97"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/W4NUFF7WZLANDY4HFGGUZVL73I/bundle.json","state_url":"https://pith.science/pith/W4NUFF7WZLANDY4HFGGUZVL73I/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/W4NUFF7WZLANDY4HFGGUZVL73I/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":"2026-08-05T23:58:55Z","links":{"resolver":"https://pith.science/pith/W4NUFF7WZLANDY4HFGGUZVL73I","bundle":"https://pith.science/pith/W4NUFF7WZLANDY4HFGGUZVL73I/bundle.json","state":"https://pith.science/pith/W4NUFF7WZLANDY4HFGGUZVL73I/state.json","well_known_bundle":"https://pith.science/.well-known/pith/W4NUFF7WZLANDY4HFGGUZVL73I/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:W4NUFF7WZLANDY4HFGGUZVL73I","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":"0db93a0282111350c51b35ef5b9919923071da3fa287383fd68d00af33b1a47c","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.SE","submitted_at":"2024-09-09T19:35:34Z","title_canon_sha256":"e17c153828ab1c27fe9612f3d167a108b0a42c701e0ac3536a932a6a73707c91"},"schema_version":"1.0","source":{"id":"2409.16299","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.16299","created_at":"2026-07-05T12:05:10Z"},{"alias_kind":"arxiv_version","alias_value":"2409.16299v3","created_at":"2026-07-05T12:05:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.16299","created_at":"2026-07-05T12:05:10Z"},{"alias_kind":"pith_short_12","alias_value":"W4NUFF7WZLAN","created_at":"2026-07-05T12:05:10Z"},{"alias_kind":"pith_short_16","alias_value":"W4NUFF7WZLANDY4H","created_at":"2026-07-05T12:05:10Z"},{"alias_kind":"pith_short_8","alias_value":"W4NUFF7W","created_at":"2026-07-05T12:05:10Z"}],"graph_snapshots":[{"event_id":"sha256:905025f7bb28d0d8a8410cb685cfef6e8d3f5ee7d538a5588ac312f9ef202d97","target":"graph","created_at":"2026-07-05T12:05:10Z","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/2409.16299/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have revolutionized software engineering (SE), showcasing remarkable proficiency in various coding tasks. Despite recent advancements that have enabled the creation of autonomous software agents utilizing LLMs for end-to-end development tasks, these systems are typically designed for specific SE functions. We introduce HyperAgent, an innovative generalist multi-agent system designed to tackle a wide range of SE tasks across different programming languages by mimicking the workflows of human developers. HyperAgent features four specialized agents-Planner, Navigator,","authors_text":"Huy Nhat Phan, Nghi D. Q. Bui, Phong X. Nguyen, Tien N. Nguyen","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.SE","submitted_at":"2024-09-09T19:35:34Z","title":"HyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks at Scale"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.16299","kind":"arxiv","version":3},"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":"sha256:6d7b58e37d3b6197995b12d689c633e8e832c1f5de9de24fd5c3e558e054d987","target":"record","created_at":"2026-07-05T12:05:10Z","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":"0db93a0282111350c51b35ef5b9919923071da3fa287383fd68d00af33b1a47c","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.SE","submitted_at":"2024-09-09T19:35:34Z","title_canon_sha256":"e17c153828ab1c27fe9612f3d167a108b0a42c701e0ac3536a932a6a73707c91"},"schema_version":"1.0","source":{"id":"2409.16299","kind":"arxiv","version":3}},"canonical_sha256":"b71b4297f6cac0d1e387298d4cd57fda0b88cdf6eb30a1130e949c4445c6e214","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b71b4297f6cac0d1e387298d4cd57fda0b88cdf6eb30a1130e949c4445c6e214","first_computed_at":"2026-07-05T12:05:10.289948Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:05:10.289948Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"50OSpb7rT5NgCF393ETDgKwFD7KNIF4rcOGbu0dZ1GvCPw5TlF340/2Ajf9tfdqhQtDzjaXMqwf0M1N+UjEPDg==","signature_status":"signed_v1","signed_at":"2026-07-05T12:05:10.290520Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.16299","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6d7b58e37d3b6197995b12d689c633e8e832c1f5de9de24fd5c3e558e054d987","sha256:905025f7bb28d0d8a8410cb685cfef6e8d3f5ee7d538a5588ac312f9ef202d97"],"state_sha256":"f3e0f5827643565a4e03349d2192634aecbc9dbe3d08c1a97ed0353d0eec0ab3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E7RwhlFmiQYGI4MUTGEGTafU4uTRq7++3UnJm4bK/dJ/uMYh+bW9C5A82o2pL3569ild8K4g8y47NtnEyqLhCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T23:58:55.527927Z","bundle_sha256":"a92a254d6e01fe88165155cacc9a75d3eea7b596e8f2e51d8e1e70ea6c0b58d6"}}