{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:2DZTTEQ5AI2IK4MTHAVWOJ3DSJ","short_pith_number":"pith:2DZTTEQ5","schema_version":"1.0","canonical_sha256":"d0f339921d0234857193382b6727639261dc3f71c832a3e171fe489dd70cc4c1","source":{"kind":"arxiv","id":"1801.06819","version":1},"attestation_state":"computed","paper":{"title":"A Next-Best-Smell Approach for Remote Gas Detection with a Mobile Robot","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Achim J. Lilienthal, Erik Schaffernicht, Francesco Amigoni, Marco Trabattoni, Riccardo Polvara, Tomasz Piotr Kucner","submitted_at":"2018-01-21T13:39:18Z","abstract_excerpt":"The problem of gas detection is relevant to many real-world applications, such as leak detection in industrial settings and landfill monitoring. Using mobile robots for gas detection has several advantages and can reduce danger for humans. In our work, we address the problem of planning a path for a mobile robotic platform equipped with a remote gas sensor, which minimizes the time to detect all gas sources in a given environment. We cast this problem as a coverage planning problem by defining a basic sensing operation -- a scan with the remote gas sensor -- as the field of \"view\" of the senso"},"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":"1801.06819","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2018-01-21T13:39:18Z","cross_cats_sorted":[],"title_canon_sha256":"7f4c37fc86c42b7a61789fd9042152e8c087c834d6bc9aae04d084d239a150b9","abstract_canon_sha256":"dfdea353bd165dd515ccea641fe8fe144329d508ec211c181b6f14d067123a3b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:25:27.620919Z","signature_b64":"HSTOE68QvDsiRoYLlHAnihE9NycBkXKCL+58rm69zLFG7YT98DiKOkygCowXjoVARPZivGiRj+YbR6h03197DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d0f339921d0234857193382b6727639261dc3f71c832a3e171fe489dd70cc4c1","last_reissued_at":"2026-05-18T00:25:27.620186Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:25:27.620186Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Next-Best-Smell Approach for Remote Gas Detection with a Mobile Robot","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Achim J. Lilienthal, Erik Schaffernicht, Francesco Amigoni, Marco Trabattoni, Riccardo Polvara, Tomasz Piotr Kucner","submitted_at":"2018-01-21T13:39:18Z","abstract_excerpt":"The problem of gas detection is relevant to many real-world applications, such as leak detection in industrial settings and landfill monitoring. Using mobile robots for gas detection has several advantages and can reduce danger for humans. In our work, we address the problem of planning a path for a mobile robotic platform equipped with a remote gas sensor, which minimizes the time to detect all gas sources in a given environment. We cast this problem as a coverage planning problem by defining a basic sensing operation -- a scan with the remote gas sensor -- as the field of \"view\" of the senso"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.06819","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":""},"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":"1801.06819","created_at":"2026-05-18T00:25:27.620302+00:00"},{"alias_kind":"arxiv_version","alias_value":"1801.06819v1","created_at":"2026-05-18T00:25:27.620302+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.06819","created_at":"2026-05-18T00:25:27.620302+00:00"},{"alias_kind":"pith_short_12","alias_value":"2DZTTEQ5AI2I","created_at":"2026-05-18T12:31:59.375834+00:00"},{"alias_kind":"pith_short_16","alias_value":"2DZTTEQ5AI2IK4MT","created_at":"2026-05-18T12:31:59.375834+00:00"},{"alias_kind":"pith_short_8","alias_value":"2DZTTEQ5","created_at":"2026-05-18T12:31:59.375834+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/2DZTTEQ5AI2IK4MTHAVWOJ3DSJ","json":"https://pith.science/pith/2DZTTEQ5AI2IK4MTHAVWOJ3DSJ.json","graph_json":"https://pith.science/api/pith-number/2DZTTEQ5AI2IK4MTHAVWOJ3DSJ/graph.json","events_json":"https://pith.science/api/pith-number/2DZTTEQ5AI2IK4MTHAVWOJ3DSJ/events.json","paper":"https://pith.science/paper/2DZTTEQ5"},"agent_actions":{"view_html":"https://pith.science/pith/2DZTTEQ5AI2IK4MTHAVWOJ3DSJ","download_json":"https://pith.science/pith/2DZTTEQ5AI2IK4MTHAVWOJ3DSJ.json","view_paper":"https://pith.science/paper/2DZTTEQ5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1801.06819&json=true","fetch_graph":"https://pith.science/api/pith-number/2DZTTEQ5AI2IK4MTHAVWOJ3DSJ/graph.json","fetch_events":"https://pith.science/api/pith-number/2DZTTEQ5AI2IK4MTHAVWOJ3DSJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2DZTTEQ5AI2IK4MTHAVWOJ3DSJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2DZTTEQ5AI2IK4MTHAVWOJ3DSJ/action/storage_attestation","attest_author":"https://pith.science/pith/2DZTTEQ5AI2IK4MTHAVWOJ3DSJ/action/author_attestation","sign_citation":"https://pith.science/pith/2DZTTEQ5AI2IK4MTHAVWOJ3DSJ/action/citation_signature","submit_replication":"https://pith.science/pith/2DZTTEQ5AI2IK4MTHAVWOJ3DSJ/action/replication_record"}},"created_at":"2026-05-18T00:25:27.620302+00:00","updated_at":"2026-05-18T00:25:27.620302+00:00"}