{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:JUKR75SYT5QLSZ2QCWQMLACAO7","short_pith_number":"pith:JUKR75SY","schema_version":"1.0","canonical_sha256":"4d151ff6589f60b9675015a0c5804077e8876b7521c5ca2936a777e680698cce","source":{"kind":"arxiv","id":"2606.04569","version":1},"attestation_state":"computed","paper":{"title":"MineXplore: An Open-Source Reinforcement Learning Exploration Benchmark for GNSS-Denied Underground Environment","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Abhishek S, Badrikanath Praharaj, Sreeram MV","submitted_at":"2026-06-03T07:59:40Z","abstract_excerpt":"Underground mines present extreme conditions for autonomous robot navigation: GPS is denied, lighting is degraded, and tunnel topology is loop-rich and non-convex. Simulation benchmarks grounded in real production-mine geometry and compatible with GPU-accelerated learning pipelines do not yet exist in the open-source ecosystem. We present MineXplore, an open-source MuJoCo-based navigation benchmark derived from the Leung et al. 2017 Chilean underground copper mine dataset. The environment reconstructs a 104,423 sq.m tunnel network through an six-stage contour-to-MJCF pipeline incorporating oct"},"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":"2606.04569","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2026-06-03T07:59:40Z","cross_cats_sorted":[],"title_canon_sha256":"f26b89f054295f624240a5753318772f0c0e3395785d8f39e75bf38c3a33659a","abstract_canon_sha256":"6ab91fd5e047653b4234dfddff88e881980bd76c6aa7ec2a26960d1de36f8c33"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-04T01:09:18.586917Z","signature_b64":"GOaSq+AbZOirxc2QERZpzscuEZKXgZKzsd/zBHO+s/pC1l+GXBjBZalTutDdlR6zxce3Owv80D2xrMm8KlAvBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4d151ff6589f60b9675015a0c5804077e8876b7521c5ca2936a777e680698cce","last_reissued_at":"2026-06-04T01:09:18.586041Z","signature_status":"signed_v1","first_computed_at":"2026-06-04T01:09:18.586041Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MineXplore: An Open-Source Reinforcement Learning Exploration Benchmark for GNSS-Denied Underground Environment","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Abhishek S, Badrikanath Praharaj, Sreeram MV","submitted_at":"2026-06-03T07:59:40Z","abstract_excerpt":"Underground mines present extreme conditions for autonomous robot navigation: GPS is denied, lighting is degraded, and tunnel topology is loop-rich and non-convex. Simulation benchmarks grounded in real production-mine geometry and compatible with GPU-accelerated learning pipelines do not yet exist in the open-source ecosystem. We present MineXplore, an open-source MuJoCo-based navigation benchmark derived from the Leung et al. 2017 Chilean underground copper mine dataset. The environment reconstructs a 104,423 sq.m tunnel network through an six-stage contour-to-MJCF pipeline incorporating oct"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.04569","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/2606.04569/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":"2606.04569","created_at":"2026-06-04T01:09:18.586143+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.04569v1","created_at":"2026-06-04T01:09:18.586143+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.04569","created_at":"2026-06-04T01:09:18.586143+00:00"},{"alias_kind":"pith_short_12","alias_value":"JUKR75SYT5QL","created_at":"2026-06-04T01:09:18.586143+00:00"},{"alias_kind":"pith_short_16","alias_value":"JUKR75SYT5QLSZ2Q","created_at":"2026-06-04T01:09:18.586143+00:00"},{"alias_kind":"pith_short_8","alias_value":"JUKR75SY","created_at":"2026-06-04T01:09:18.586143+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/JUKR75SYT5QLSZ2QCWQMLACAO7","json":"https://pith.science/pith/JUKR75SYT5QLSZ2QCWQMLACAO7.json","graph_json":"https://pith.science/api/pith-number/JUKR75SYT5QLSZ2QCWQMLACAO7/graph.json","events_json":"https://pith.science/api/pith-number/JUKR75SYT5QLSZ2QCWQMLACAO7/events.json","paper":"https://pith.science/paper/JUKR75SY"},"agent_actions":{"view_html":"https://pith.science/pith/JUKR75SYT5QLSZ2QCWQMLACAO7","download_json":"https://pith.science/pith/JUKR75SYT5QLSZ2QCWQMLACAO7.json","view_paper":"https://pith.science/paper/JUKR75SY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.04569&json=true","fetch_graph":"https://pith.science/api/pith-number/JUKR75SYT5QLSZ2QCWQMLACAO7/graph.json","fetch_events":"https://pith.science/api/pith-number/JUKR75SYT5QLSZ2QCWQMLACAO7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JUKR75SYT5QLSZ2QCWQMLACAO7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JUKR75SYT5QLSZ2QCWQMLACAO7/action/storage_attestation","attest_author":"https://pith.science/pith/JUKR75SYT5QLSZ2QCWQMLACAO7/action/author_attestation","sign_citation":"https://pith.science/pith/JUKR75SYT5QLSZ2QCWQMLACAO7/action/citation_signature","submit_replication":"https://pith.science/pith/JUKR75SYT5QLSZ2QCWQMLACAO7/action/replication_record"}},"created_at":"2026-06-04T01:09:18.586143+00:00","updated_at":"2026-06-04T01:09:18.586143+00:00"}