{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:NDP6TTR6VJT4N7KBTZQWKVOPEF","short_pith_number":"pith:NDP6TTR6","schema_version":"1.0","canonical_sha256":"68dfe9ce3eaa67c6fd419e616555cf2155e8e2428e1684852fc5288ec1cbf648","source":{"kind":"arxiv","id":"2608.09526","version":1},"attestation_state":"computed","paper":{"title":"RangeFactory: Scalable Construction of Multi-Hop Cyber Ranges","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CR","authors_text":"Ding Li, Hanlin Jiang, Jiandong Jin, Ning Jia, Peng Jiang, Pengli Wang, Puyi Wang, Shaofei Li, Yao Guo, Yifeng Cai, Yuxin Ren, Zhan Shen, Ziming Wang","submitted_at":"2026-08-10T12:25:49Z","abstract_excerpt":"Real-world cyberattacks often require sustained progress across multiple hosts and network segments, making multi-hop cyber ranges essential infrastructure for studying and improving LLM agents' ability to sustain complete attack chains. Prior work has scaled isolated vulnerability tasks and constructed multi-host scenarios from manually specified vulnerability semantics. However, they are still unable to automatically orchestrate the growing supply of vulnerability environments into end-to-end validated multi-hop ranges. To this end, we present RangeFactory, an automated cyber-range orchestra"},"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":"2608.09526","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2026-08-10T12:25:49Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"0516f27a678b1c193c353d36be846dc7d3ebfc98f35fa68dc2a8c3ac6620c133","abstract_canon_sha256":"b308965806e5386d935bd19f4f10a352c436e0ec76e99776fffc37cfdd150620"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-11T02:24:24.903584Z","signature_b64":"5qmtaw90aRgGfwo77n4Xxmk6ofl3oODKErU6AtphdglFjquIIavBCDy9R4CeMy/VpPo1o6n5OSrBuGDhr0I5BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"68dfe9ce3eaa67c6fd419e616555cf2155e8e2428e1684852fc5288ec1cbf648","last_reissued_at":"2026-08-11T02:24:24.901866Z","signature_status":"signed_v1","first_computed_at":"2026-08-11T02:24:24.901866Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"RangeFactory: Scalable Construction of Multi-Hop Cyber Ranges","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CR","authors_text":"Ding Li, Hanlin Jiang, Jiandong Jin, Ning Jia, Peng Jiang, Pengli Wang, Puyi Wang, Shaofei Li, Yao Guo, Yifeng Cai, Yuxin Ren, Zhan Shen, Ziming Wang","submitted_at":"2026-08-10T12:25:49Z","abstract_excerpt":"Real-world cyberattacks often require sustained progress across multiple hosts and network segments, making multi-hop cyber ranges essential infrastructure for studying and improving LLM agents' ability to sustain complete attack chains. Prior work has scaled isolated vulnerability tasks and constructed multi-host scenarios from manually specified vulnerability semantics. However, they are still unable to automatically orchestrate the growing supply of vulnerability environments into end-to-end validated multi-hop ranges. To this end, we present RangeFactory, an automated cyber-range orchestra"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.09526","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/2608.09526/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2608.09526","created_at":"2026-08-11T02:24:24.902593+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.09526v1","created_at":"2026-08-11T02:24:24.902593+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.09526","created_at":"2026-08-11T02:24:24.902593+00:00"},{"alias_kind":"pith_short_12","alias_value":"NDP6TTR6VJT4","created_at":"2026-08-11T02:24:24.902593+00:00"},{"alias_kind":"pith_short_16","alias_value":"NDP6TTR6VJT4N7KB","created_at":"2026-08-11T02:24:24.902593+00:00"},{"alias_kind":"pith_short_8","alias_value":"NDP6TTR6","created_at":"2026-08-11T02:24:24.902593+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/NDP6TTR6VJT4N7KBTZQWKVOPEF","json":"https://pith.science/pith/NDP6TTR6VJT4N7KBTZQWKVOPEF.json","graph_json":"https://pith.science/api/pith-number/NDP6TTR6VJT4N7KBTZQWKVOPEF/graph.json","events_json":"https://pith.science/api/pith-number/NDP6TTR6VJT4N7KBTZQWKVOPEF/events.json","paper":"https://pith.science/paper/NDP6TTR6"},"agent_actions":{"view_html":"https://pith.science/pith/NDP6TTR6VJT4N7KBTZQWKVOPEF","download_json":"https://pith.science/pith/NDP6TTR6VJT4N7KBTZQWKVOPEF.json","view_paper":"https://pith.science/paper/NDP6TTR6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.09526&json=true","fetch_graph":"https://pith.science/api/pith-number/NDP6TTR6VJT4N7KBTZQWKVOPEF/graph.json","fetch_events":"https://pith.science/api/pith-number/NDP6TTR6VJT4N7KBTZQWKVOPEF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NDP6TTR6VJT4N7KBTZQWKVOPEF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NDP6TTR6VJT4N7KBTZQWKVOPEF/action/storage_attestation","attest_author":"https://pith.science/pith/NDP6TTR6VJT4N7KBTZQWKVOPEF/action/author_attestation","sign_citation":"https://pith.science/pith/NDP6TTR6VJT4N7KBTZQWKVOPEF/action/citation_signature","submit_replication":"https://pith.science/pith/NDP6TTR6VJT4N7KBTZQWKVOPEF/action/replication_record"}},"created_at":"2026-08-11T02:24:24.902593+00:00","updated_at":"2026-08-11T02:24:24.902593+00:00"}