{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:OYTGRQVQVCZFWIWW7KJZG5AANW","short_pith_number":"pith:OYTGRQVQ","schema_version":"1.0","canonical_sha256":"762668c2b0a8b25b22d6fa939374006dba7d581a8e5c87bc4b9d138d8e53dc00","source":{"kind":"arxiv","id":"1804.08669","version":1},"attestation_state":"computed","paper":{"title":"Ocean Plume Tracking with Unmanned Surface Vessels: Algorithms and Experiments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"eess.SP","authors_text":"Brian Bingham, Fernando A. Sanabria, Kristopher Krasnosky, Laura Fitzpatrick, Muhammad Fahad, Yi Guo","submitted_at":"2018-04-23T18:56:44Z","abstract_excerpt":"Pollution plume monitoring using autonomous vehicles is important due to the adverse effect of pollution plumes on the environment and associated monetary losses. Using the advection-diffusion plume dispersion model, we present a control law design to track dynamic concentration level curves. We also present a gradient and divergence estimation method to enable this control law from concentration measurement only. We then present the field testing results of the control law to track concentration level curves in a plume generated using Rhodamine dye as a pollution surrogate in a near-shore mar"},"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":"1804.08669","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2018-04-23T18:56:44Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"b2d7ffb31379ee467ad89b5044d886a2b780723dff61bb9eb3a6be3032d7c8c1","abstract_canon_sha256":"d8667137276b0c649bb47f87bc6838f47d2afa623646369646a76e1dece9a2c5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:17:47.050786Z","signature_b64":"+Lq3k35TGyeiqY43v2oxkYf2sAYykWurPG53HtuPgfWvN2uF1M2W4qwvVsfEJAbKmNMCafL6Bkjm3dSb94G1DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"762668c2b0a8b25b22d6fa939374006dba7d581a8e5c87bc4b9d138d8e53dc00","last_reissued_at":"2026-05-18T00:17:47.050076Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:17:47.050076Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Ocean Plume Tracking with Unmanned Surface Vessels: Algorithms and Experiments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"eess.SP","authors_text":"Brian Bingham, Fernando A. Sanabria, Kristopher Krasnosky, Laura Fitzpatrick, Muhammad Fahad, Yi Guo","submitted_at":"2018-04-23T18:56:44Z","abstract_excerpt":"Pollution plume monitoring using autonomous vehicles is important due to the adverse effect of pollution plumes on the environment and associated monetary losses. Using the advection-diffusion plume dispersion model, we present a control law design to track dynamic concentration level curves. We also present a gradient and divergence estimation method to enable this control law from concentration measurement only. We then present the field testing results of the control law to track concentration level curves in a plume generated using Rhodamine dye as a pollution surrogate in a near-shore mar"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.08669","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":"1804.08669","created_at":"2026-05-18T00:17:47.050176+00:00"},{"alias_kind":"arxiv_version","alias_value":"1804.08669v1","created_at":"2026-05-18T00:17:47.050176+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.08669","created_at":"2026-05-18T00:17:47.050176+00:00"},{"alias_kind":"pith_short_12","alias_value":"OYTGRQVQVCZF","created_at":"2026-05-18T12:32:43.782077+00:00"},{"alias_kind":"pith_short_16","alias_value":"OYTGRQVQVCZFWIWW","created_at":"2026-05-18T12:32:43.782077+00:00"},{"alias_kind":"pith_short_8","alias_value":"OYTGRQVQ","created_at":"2026-05-18T12:32:43.782077+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/OYTGRQVQVCZFWIWW7KJZG5AANW","json":"https://pith.science/pith/OYTGRQVQVCZFWIWW7KJZG5AANW.json","graph_json":"https://pith.science/api/pith-number/OYTGRQVQVCZFWIWW7KJZG5AANW/graph.json","events_json":"https://pith.science/api/pith-number/OYTGRQVQVCZFWIWW7KJZG5AANW/events.json","paper":"https://pith.science/paper/OYTGRQVQ"},"agent_actions":{"view_html":"https://pith.science/pith/OYTGRQVQVCZFWIWW7KJZG5AANW","download_json":"https://pith.science/pith/OYTGRQVQVCZFWIWW7KJZG5AANW.json","view_paper":"https://pith.science/paper/OYTGRQVQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1804.08669&json=true","fetch_graph":"https://pith.science/api/pith-number/OYTGRQVQVCZFWIWW7KJZG5AANW/graph.json","fetch_events":"https://pith.science/api/pith-number/OYTGRQVQVCZFWIWW7KJZG5AANW/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OYTGRQVQVCZFWIWW7KJZG5AANW/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OYTGRQVQVCZFWIWW7KJZG5AANW/action/storage_attestation","attest_author":"https://pith.science/pith/OYTGRQVQVCZFWIWW7KJZG5AANW/action/author_attestation","sign_citation":"https://pith.science/pith/OYTGRQVQVCZFWIWW7KJZG5AANW/action/citation_signature","submit_replication":"https://pith.science/pith/OYTGRQVQVCZFWIWW7KJZG5AANW/action/replication_record"}},"created_at":"2026-05-18T00:17:47.050176+00:00","updated_at":"2026-05-18T00:17:47.050176+00:00"}