{"as_of":"2026-08-19T22:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a8f7fbf1c2cbb0915f43e8153609d07b7abdee291deae643682f49b38bba5f73","coverage":[{"denominator":181,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T14:34:44.284544Z","state":"measured"},{"denominator":101,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":101,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:19:51.716495Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T15:19:52.031018Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"cited_work":{"arxiv_id":"2412.11840","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.11840","snapshot_observed_at":"2026-08-07T15:19:52.031018Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","venue":"cs.RO","work_id":"5c2b00d6-8df0-4cf2-bf25-73a69d1ebf97","year":2024},"citing_paper":{"arxiv_id":"2505.15465","last_updated":"2025-05-21T12:44:14Z","snapshot_observed_at":"2026-08-16T00:51:56.451157Z","submitted_at":"2025-05-21T12:44:14Z","title":"Synthetic Enclosed Echoes: A New Dataset to Mitigate the Gap Between Simulated and Real-World Sonar Data","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T15:19:51.716495Z"},"links":{"cited_paper":"/paper/2412.11840","citing_paper":"/paper/2505.15465"},"observation_digest":"sha256:7e7c7bc205fdabf35d3ab8d9a9674ebe5eef207c6e7e7fca414f6616effcc42a","observation_id":"84861189-01e6-41ea-a133-a65038e034a2","resolution":{"observed_at":"2026-08-07T15:19:52.178442Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.11840/citation-record","integrity":"/paper/2412.11840/integrity","json":"/paper/2412.11840/citation-record.json","paper":"/paper/2412.11840"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/rob.21905","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:03:20.376878Z","title":"Multi-auv motion planning for archeological site mapping and photogrammetric reconstruction,","venue":"Journal of Field Robotics","work_id":"9316dcd7-9073-4a18-949c-7cf072794be2","year":2019},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.788793Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:a1e3f3ab74be37ee2b53191cd61625565793fc6ba4819a04306e5baa42ed82f9","observation_id":"67d601ba-3675-47a6-a55a-28883136170e","resolution":{"observed_at":"2026-08-11T14:34:44.962063Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:43.794696Z","title":"Auv ”tuna-sand","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.794696Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:4aaacd90260c572b0907058ddc1801b89b7b0f22c9524080cf54040687e8bd97","observation_id":"c3474ab6-34d5-4318-9387-e4389d8e4cff","resolution":{"observed_at":"2026-08-11T14:34:43.794696Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:43.799587Z","title":"Multi-actuated auv body for windfarm inspection: Lessons from the bio-inspired robofish field trials,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.799587Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:af86f5286a5c4d5c39168a10db663b0ccb714808434640e96d68b596fded7506","observation_id":"02ab856e-9227-47ea-92e4-a5bd244349fe","resolution":{"observed_at":"2026-08-11T14:34:43.799587Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:43.805085Z","title":"The hugin 1000 autonomous underwater vehicle for military applications,","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.805085Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:6de5d95dd3d49cfc7be7abba5cb77c4f53e901470f0d219ea8b8895fc88416d4","observation_id":"1817e456-5a74-4ae4-bb90-2345c2dc1266","resolution":{"observed_at":"2026-08-11T14:34:43.805085Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5281/zenodo.10528135","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.943038Z","title":"Swdd: Sonar wall detection dataset,","venue":null,"work_id":"a3d2310b-6873-4e6e-a606-e3a5ffbc30db","year":2024},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.810908Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:4d2ba6fc3df2e2fa69e253cefc631bf2c2a1f08a951a8a5e4b6bf53239de4898","observation_id":"04f44068-5c04-4e88-9331-37bf473ebe58","resolution":{"observed_at":"2026-08-11T14:34:44.947891Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:43.815949Z","title":"Data augmentation using image translation for underwater sonar image segmentation,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.815949Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:01aebc0ecab1ceadbb9b42058b2b30c0245228d74781c1836691961cf213bdbb","observation_id":"16e0cb0d-ff9c-458d-9455-6358fdf8ba88","resolution":{"observed_at":"2026-08-11T14:34:43.815949Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:43.820942Z","title":"Recent advances in ai for navigation and control of underwater robots,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.820942Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:beb1d5b6449018ece03f71242a920dcb1dfef7bf2348126dc46674b93336fd5a","observation_id":"e9f8c55f-ad65-4a77-9973-c02a36a799b6","resolution":{"observed_at":"2026-08-11T14:34:43.820942Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:43.825682Z","title":"Autonomous object identification in mine countermeasure missions,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.825682Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:dc6470c00c966369f739b3989c36a5f91b3699528af936eda96e6af0aaf4adff","observation_id":"290bc9a9-2864-44a4-8787-6a36da2f4a1f","resolution":{"observed_at":"2026-08-11T14:34:43.825682Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:43.830246Z","title":"Archaeo- logic machine learning for shipwreck detection using lidar and sonar,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.830246Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:d38fe3ff5d449cf83f2c96e1fd1eded00c34cdf98d2d363b392e7040c7744954","observation_id":"aec57c8f-8051-4f55-9c1e-142953bcaf35","resolution":{"observed_at":"2026-08-11T14:34:43.830246Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:43.835389Z","title":"Lsts toolchain framework for deep learning implementation into autonomous underwater vehicle,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.835389Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:cbc0e43d858891d24f09cb823332c8bbb46af2ce0d7e72cfbd4a7d672571e5d5","observation_id":"f3e5fa3f-ee12-4f6e-a591-e779b72baa74","resolution":{"observed_at":"2026-08-11T14:34:43.835389Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:43.840335Z","title":"Mission planning and safety assessment for pipeline inspection using autonomous underwater vehicles: A framework based on behavior trees,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.840335Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:2492ad3200382d308e79606d72ad52a024bc4ae458eda3dc0d8afaa8c78c0f7a","observation_id":"59978f9b-d8ec-4999-ac89-e213187cc8b2","resolution":{"observed_at":"2026-08-11T14:34:43.840335Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.08906","last_updated":"2022-10-19T07:37:47Z","snapshot_observed_at":"2026-08-16T16:23:36.625464Z","submitted_at":"2022-10-17T10:00:51Z","title":"A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities","version":2},"cited_work":{"arxiv_id":"2210.08906","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.08906","snapshot_observed_at":"2026-08-11T14:34:45.767674Z","title":"A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities","venue":"cs.AI","work_id":"ef142413-858a-4904-81b1-2d4a94873ade","year":2022},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.845553Z"},"links":{"cited_paper":"/paper/2210.08906","citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:efbc510f1a975c30d5ce57d1c5ccf7e62f4083c73cb36cb7bdc2393f7871dcf1","observation_id":"ab96d3af-4b0b-4d3e-995a-663b87dbbdcf","resolution":{"observed_at":"2026-08-11T14:34:45.772513Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:43.851167Z","title":"Safe ai for cps (invited paper),","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.851167Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:64b6bd640cb891cdae3da1f67922ab5ab9af4fd20a58dc5e3d174e7158fd13a6","observation_id":"a533081b-c0dd-429d-b208-ce2184e40d82","resolution":{"observed_at":"2026-08-11T14:34:43.851167Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1703.00810","last_updated":"2017-04-29T17:32:47Z","snapshot_observed_at":"2026-08-14T21:13:52.487817Z","submitted_at":"2017-03-02T14:53:14Z","title":"Opening the Black Box of Deep Neural Networks via Information","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1703.00810","snapshot_observed_at":"2026-08-11T14:34:43.856394Z","title":"Opening the black box of deep neural networks via information,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.856394Z"},"links":{"cited_paper":"/paper/1703.00810","citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:ffe8227483c3e5f38fe1558be3cdea58fa7c0f06af34ae0a1f95de243cfb8e77","observation_id":"3c5acd0d-f2db-4f3d-8b84-34f691948c94","resolution":{"observed_at":"2026-08-11T14:34:43.856394Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:43.863173Z","title":"Ai challenges for society and ethics,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.863173Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:0c64cf80d91d671db4e9407778adc34034cb1405b4af87ad527e5236c44e8951","observation_id":"e424f8e8-86df-4782-b0c0-07158a5a2528","resolution":{"observed_at":"2026-08-11T14:34:43.863173Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.07045","last_updated":"2021-07-12T08:42:19Z","snapshot_observed_at":"2026-08-16T18:10:43.800565Z","submitted_at":"2021-07-12T08:42:19Z","title":"Explainable AI: current status and future directions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.07045","snapshot_observed_at":"2026-08-11T14:34:43.868116Z","title":"Explainable ai: Current status and future directions,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.868116Z"},"links":{"cited_paper":"/paper/2107.07045","citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:acfe61b7697df6a44b4175747f1dc2906388a0f2db8c1bf52868a4ffee77ff8e","observation_id":"c36954fe-e6c0-4d26-801a-03b798a2ee63","resolution":{"observed_at":"2026-08-11T14:34:43.868116Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:43.873147Z","title":"Rethinking explainable machines: The gdprs “right to explanation","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.873147Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:d9ee66d12640800c340786c8b66af2123bbbc426c0843509f4a700530a82f2c4","observation_id":"53acb87c-c3a8-49c3-9797-bf5d78f7a7e1","resolution":{"observed_at":"2026-08-11T14:34:43.873147Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1806.00069","last_updated":"2019-02-03T21:06:50Z","snapshot_observed_at":"2026-08-19T08:19:55.858777Z","submitted_at":"2018-05-31T19:48:00Z","title":"Explaining Explanations: An Overview of Interpretability of Machine Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.00069","snapshot_observed_at":"2026-08-11T14:34:43.878821Z","title":"Explaining explanations: An overview of interpretability of machine learning,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.878821Z"},"links":{"cited_paper":"/paper/1806.00069","citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:3c239dea33a760b88c21b2869ecc6624aa1df9b357f065bff4bea4f8569a3dfe","observation_id":"8790f3e7-975b-41cd-bd0d-5cd0f31dee2d","resolution":{"observed_at":"2026-08-11T14:34:43.878821Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:43.884654Z","title":"An introduction to underwater acoustics: Principles and applications,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.884654Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:7d9a72ed835864a45270a15c083823c8e38cf3fad27c336a5d13471f48b7a856","observation_id":"b0a2b1af-3691-4932-9920-9e5344feee8b","resolution":{"observed_at":"2026-08-11T14:34:43.884654Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:43.890782Z","title":"A review on deep learning-based approaches for automatic sonar target recognition,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.890782Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:d18f7f1691178593d9cba6a9e9bc4a052133cd88f1c781bfea676de1622425cc","observation_id":"4fe17820-5a25-40ed-8afe-61a949b1f2c1","resolution":{"observed_at":"2026-08-11T14:34:43.890782Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:43.896121Z","title":"Survey on deep learning based computer vision for sonar imagery,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.896121Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:839a49d54d36e428d2a2fdd026a9e67731bf2501d6a3cc477de0f6f9270c7756","observation_id":"df4fe637-451b-4127-8474-2aa9f839b42c","resolution":{"observed_at":"2026-08-11T14:34:43.896121Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:43.900894Z","title":"Underwater target detection using deep learning: Methodologies, challenges, applications, and future evolution,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.900894Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:f66fcdf61a21ad234b3d1aed4df3abec1beb6c520ab88e728dfd4865050089e7","observation_id":"b7ec1bc1-182d-4cff-8835-d4b922b8065f","resolution":{"observed_at":"2026-08-11T14:34:43.900894Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:43.905487Z","title":"Underwater target recognition methods based on the framework of deep learning: A survey,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.905487Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:7c599657136262f6628c39f91fa4e17bdc0caf42fd0e1a7669f8c48b0e8e567a","observation_id":"ecae6357-b815-457a-9f9e-d8d129c996c2","resolution":{"observed_at":"2026-08-11T14:34:43.905487Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1177/1729881420936091","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.914109Z","title":"A review on the wavelet methods for sonar image segmentation,","venue":null,"work_id":"e92a736a-02b2-4884-9317-2e85542cfc2c","year":2020},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.915229Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:1d6293f7a4a5b7c5524a309c9f2a755e5c4904865f5db94a5b4a4d48ea8b1057","observation_id":"6b13fe5e-e7ff-46a2-ad46-3739510fd089","resolution":{"observed_at":"2026-08-11T14:34:44.919699Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:43.920290Z","title":"Acoustic fish species identification using deep learning and machine learning algorithms: A systematic review,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.920290Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:1288ce7ea3cc0d17f57ea52a6fd96e9677b909984af5cae2ba459633e4778069","observation_id":"d9996ade-2842-43f9-b1e4-e14319c5cf76","resolution":{"observed_at":"2026-08-11T14:34:43.920290Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:43.925821Z","title":"Deep learning algorithms for sonar imagery analysis and its application in aquaculture: A review,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.925821Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:9313540b1755b637e406ba4d618edce76605f08c7002071c67774d3aa45a1c17","observation_id":"0fccc934-e3c2-4b49-92e0-097a555bad3e","resolution":{"observed_at":"2026-08-11T14:34:43.925821Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:43.932536Z","title":"A survey of underwater acoustic data classification methods using deep learning for shoreline surveillance,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.932536Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:7461b26de70c940053bb77b2c3789fe3278d15a66b2c7a772ba1b4b226e21b42","observation_id":"e2169fa4-ff65-4695-87e5-88070afcc1da","resolution":{"observed_at":"2026-08-11T14:34:43.932536Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:43.937095Z","title":"Imagenet classification with deep convolutional neural networks,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.937095Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:2949e6c504a27ac6dde9f0dbd1752193000d9674547e3958854068562b88ffd0","observation_id":"67f4dc3d-1db4-413f-b2db-92c8171ad0f0","resolution":{"observed_at":"2026-08-11T14:34:43.937095Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:43.943009Z","title":"Gradient-based learning applied to document recognition,","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.943009Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:757d208b3c3e3439b1bd024df1ba27914b7eaba424a4b1295e88f12388e97610","observation_id":"e2687011-a249-4c5a-85e9-1a761bc709ee","resolution":{"observed_at":"2026-08-11T14:34:43.943009Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:43.947516Z","title":"Deep residual learning for image recognition,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.947516Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:40ce36dc8cde83f30c7e67673d3b76cf7901b67f4562fd10fd64152ae1ee2de2","observation_id":"a93da3b0-1f32-4bc1-9e94-fbaf9087a775","resolution":{"observed_at":"2026-08-11T14:34:43.947516Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:43.952216Z","title":"Rich feature hierarchies for accurate object detection and semantic segmentation,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.952216Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:bc4d864594a44a9e76454d7e23b4db5863c66421f16a2709a3be0a7d418ede7b","observation_id":"4dae8f7c-2b34-4574-b866-59b4d24d61a1","resolution":{"observed_at":"2026-08-11T14:34:43.952216Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:43.957030Z","title":"Fast r-cnn,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.957030Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:68c32cc15267e05223bd93ca96250335f8635d7248a6dade9ca7bd9713a2a03d","observation_id":"b5d8dd92-5da4-4be0-b60b-bbf25243190e","resolution":{"observed_at":"2026-08-11T14:34:43.957030Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1506.01497","last_updated":"2016-01-06T06:30:17Z","snapshot_observed_at":"2026-08-19T20:39:58.906225Z","submitted_at":"2015-06-04T07:58:34Z","title":"Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1506.01497","snapshot_observed_at":"2026-08-11T14:34:43.963213Z","title":"Faster r-cnn: Towards real- time object detection with region proposal networks,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.963213Z"},"links":{"cited_paper":"/paper/1506.01497","citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:c9134c589c2bf8f20f865f8c6c9a419933406d9e2abced9f7d151d1c9c8091ae","observation_id":"9e97d231-e839-4e8f-882c-feb5ba056bbd","resolution":{"observed_at":"2026-08-11T14:34:43.963213Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1506.02640","last_updated":"2016-05-09T22:22:11Z","snapshot_observed_at":"2026-08-14T22:45:19.997074Z","submitted_at":"2015-06-08T19:52:52Z","title":"You Only Look Once: Unified, Real-Time Object Detection","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1506.02640","snapshot_observed_at":"2026-08-11T14:34:43.968737Z","title":"You only look once: Unified, real-time object detection,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.968737Z"},"links":{"cited_paper":"/paper/1506.02640","citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:dfc86ed1398ce3b671446e49b788d5a73325ac4033f9b66c0b111d0086a4f825","observation_id":"372d5509-7464-4888-b0c9-178cfdb73bed","resolution":{"observed_at":"2026-08-11T14:34:43.968737Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:43.974165Z","title":"Ssd: Single shot multibox detector,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.974165Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:24c33d03c8eb6f53dcd9f794412612533fd296aa27aa3650b2afa2dd6f373ced","observation_id":"5384d575-aa58-4611-8667-ee4e8821ef7b","resolution":{"observed_at":"2026-08-11T14:34:43.974165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.03762","last_updated":"2023-08-02T00:41:18Z","snapshot_observed_at":"2026-08-19T04:42:40.974785Z","submitted_at":"2017-06-12T17:57:34Z","title":"Attention Is All You Need","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.03762","snapshot_observed_at":"2026-08-11T14:34:43.980779Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.980779Z"},"links":{"cited_paper":"/paper/1706.03762","citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:6279830e30a04cc82d32e2ece11f40c702ba1c4810417bbcfcd06a18dcf5bd45","observation_id":"56c981dc-45f8-4989-9644-fdd691787477","resolution":{"observed_at":"2026-08-11T14:34:43.980779Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:43.986167Z","title":"Serial order: A parallel distributed processing approach,","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.986167Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:94750087466696cf41212d1b98aa6b9a1261b4b8713f416699414835f65ca8ec","observation_id":"c4303bb9-9751-46de-b9fa-0cf91683c30c","resolution":{"observed_at":"2026-08-11T14:34:43.986167Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:43.990955Z","title":"Long short-term memory,","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.990955Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:db607e444b00ab40123e8d542e27c771a85937b6f3e661aa746e35f38a918879","observation_id":"6b1b3ff1-b2b4-40d0-8add-3c61a54293ee","resolution":{"observed_at":"2026-08-11T14:34:43.990955Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.12872","last_updated":"2020-05-28T17:37:23Z","snapshot_observed_at":"2026-08-14T22:50:00.733302Z","submitted_at":"2020-05-26T17:06:38Z","title":"End-to-End Object Detection with Transformers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.12872","snapshot_observed_at":"2026-08-11T14:34:43.996601Z","title":"End-to-end object detection with transformers,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:43.996601Z"},"links":{"cited_paper":"/paper/2005.12872","citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:025a90d03435f98d0dff715892af981135b605e0e533977da87dc2eeb3bdf1f4","observation_id":"ee6d7217-eb11-4621-b802-6529dc4d5249","resolution":{"observed_at":"2026-08-11T14:34:43.996601Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-16T09:25:53.087782Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-11T14:34:44.001059Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.001059Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:41e4dceabd77898f43412d08213f0993b115da1ee14f987cf6507b3a9bbea04c","observation_id":"1db351aa-5f58-43ac-985f-1334f99d781c","resolution":{"observed_at":"2026-08-11T14:34:44.001059Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.006083Z","title":"Rotated object detection with forward-looking sonar in underwater applications,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.006083Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:708af1a5c8d774be35e42de465e97fc9baa0da4650a47455ea40bede27e2f48f","observation_id":"fde8a849-a2c0-4192-8f4c-7ed542d0f9b0","resolution":{"observed_at":"2026-08-11T14:34:44.006083Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.010144Z","title":"Real-time underwater maritime object detection in side-scan sonar images based on transformer-yolov5,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.010144Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:b3155f1c11ab025846e46e40141dece4b71ab7a6d2be85c8c44d3167ef6f9a87","observation_id":"8f9dba5e-8ca4-4c97-b57a-a2aa2442ae65","resolution":{"observed_at":"2026-08-11T14:34:44.010144Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.014222Z","title":"Real-time automatic wall detection and localization based on side scan sonar images,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.014222Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:1a079c07e7630d06414f9a641ea31f9d17e69ddaf235fe1f5c6c4f3c746abdd0","observation_id":"9d5d3b9c-651f-4c3f-a985-191e44302804","resolution":{"observed_at":"2026-08-11T14:34:44.014222Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.08430","last_updated":"2021-08-06T03:22:14Z","snapshot_observed_at":"2026-08-19T15:19:25.831687Z","submitted_at":"2021-07-18T12:55:11Z","title":"YOLOX: Exceeding YOLO Series in 2021","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.08430","snapshot_observed_at":"2026-08-11T14:34:44.018548Z","title":"Yolox: Exceeding yolo series in 2021,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.018548Z"},"links":{"cited_paper":"/paper/2107.08430","citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:5f1f02b2582787bd984a4df970633f2b2c6cc7efc6ee08770a17c8fa17692ffd","observation_id":"26c5c0cb-3ae9-4aff-8b41-04d1d5f05ae4","resolution":{"observed_at":"2026-08-11T14:34:44.018548Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.09313","last_updated":"2024-03-14T12:03:28Z","snapshot_observed_at":"2026-08-16T14:09:51.844650Z","submitted_at":"2024-03-14T12:03:28Z","title":"Knowledge Distillation in YOLOX-ViT for Side-Scan Sonar Object Detection","version":1},"cited_work":{"arxiv_id":"2403.09313","doi":"10.48550/arxiv.2403.09313","metadata_source":"pith","pith_arxiv_id":"2403.09313","snapshot_observed_at":"2026-08-11T18:16:15.004306Z","title":"Knowledge Distillation in YOLOX-ViT for Side-Scan Sonar Object Detection","venue":"cs.CV","work_id":"0288096a-9c2d-4d8b-8a1e-00c0f87e7992","year":2024},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.023660Z"},"links":{"cited_paper":"/paper/2403.09313","citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:49b3744624ab31cddaafeb75ac68a37ae3b6c2e742e0ac6ce0587df4ca9f6efa","observation_id":"0c74716d-fb6d-4abe-b666-6741cc89ee53","resolution":{"observed_at":"2026-08-11T14:34:44.893463Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.029042Z","title":"Fully convolutional networks for semantic segmentation,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.029042Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:693968a4cc07d9cbb73faab132dfdf7a57297ebcb5bd44f1eb6baa8a8d3f51cd","observation_id":"68736a6e-ca8d-4f6b-a7e2-f14d36a90a82","resolution":{"observed_at":"2026-08-11T14:34:44.029042Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.033516Z","title":"U-net: Convolutional net- works for biomedical image segmentation,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.033516Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:a2c69e1a7b816c85465ed775e99250bcb47d33bcbf698124406003c33fac726c","observation_id":"e26f3397-9a2e-4c7c-b7c9-8d063cdb48fb","resolution":{"observed_at":"2026-08-11T14:34:44.033516Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.037949Z","title":"Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.037949Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:1c4b3720bfcfdf0862f66740781b6dd62b363575ff02473f178875f57d3dfd87","observation_id":"13c03d4d-6969-4da7-9759-6f6eb0d9fc20","resolution":{"observed_at":"2026-08-11T14:34:44.037949Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.043035Z","title":"Pyramid scene parsing network,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.043035Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:1f93d1985dff187f27ad04811f4ee6171321d3b82b600546eba77d82110c4e04","observation_id":"ff07317d-ff02-4e8f-baf6-4824f636d5db","resolution":{"observed_at":"2026-08-11T14:34:44.043035Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.047077Z","title":"A submarine pipeline segmentation method for noisy forward-looking sonar images using global information and coarse segmentation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.047077Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:b18c241835bd9e18ee5c4e52c0efb0e0869f50624282c926f70b19bbf7dbdc3d","observation_id":"ae3c0055-9c79-40eb-96e9-d36677d57cde","resolution":{"observed_at":"2026-08-11T14:34:44.047077Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.051308Z","title":"Side-scan sonar images segmentation for auv with recurrent residual convolutional neural network module and self-guidance module,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.051308Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:69284171063583729a17f49d6570f971fe4f024938cf0922a04930276b07d7ba","observation_id":"633f5b84-73c9-4d79-afbe-35d33fa11837","resolution":{"observed_at":"2026-08-11T14:34:44.051308Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.055703Z","title":"Attention u-net: Learning where to look for the pancreas,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.055703Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:e5705320dfb5685ad9ddd68ebb69a3c08766105f85f7c27894788ac376b74adf","observation_id":"abf5f769-1d97-413c-b8f4-415d1e26e238","resolution":{"observed_at":"2026-08-11T14:34:44.055703Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.060428Z","title":"Rethinking semantic segmenta- tion from a sequence-to-sequence perspective with transformers,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.060428Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:bfd280edfdac377d9d2bf40a3cae1828fb4e99a2b139990a335403ce49d9c2c7","observation_id":"bbf795bc-ecfc-49e0-a221-b0b82762fa64","resolution":{"observed_at":"2026-08-11T14:34:44.060428Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.065255Z","title":"Segmenter: Trans- former for semantic segmentation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.065255Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:3707b0e9e29e01dec87f32b334a51f0b2a98deeecccf70998fe37efde5d4b4f0","observation_id":"67afdd9a-38dd-4c68-a01d-1d7f0b9d0454","resolution":{"observed_at":"2026-08-11T14:34:44.065255Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.069803Z","title":"Mitu-net: An efficient mix transformer u-like network for forward-looking sonar image segmentation,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.069803Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:05ed1bd5c5ece2051a8ed766ec2d8be8b3b38a9a3c5735746b867f349cd3c239","observation_id":"4b8a5cd4-b8bc-4ca4-b1dc-4a3118fc5ad7","resolution":{"observed_at":"2026-08-11T14:34:44.069803Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.074523Z","title":"Sonarnet: Hybrid cnn-transformer- hog framework and multifeature fusion mechanism for forward-looking sonar image segmentation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.074523Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:efe5389a3d4493859ea1902c72166c59d6be34382a692e733b09413c595ba724","observation_id":"f0ceca53-529e-426a-8826-75dedf2e93bd","resolution":{"observed_at":"2026-08-11T14:34:44.074523Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.078935Z","title":"Subpipe: A submarine pipeline inspection dataset for segmentation and visual-inertial localization,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.078935Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:9c58a8511d538358cb6485e46b5c39675aaa32d9c9c7e601a584098c5c6c97ee","observation_id":"2d33b2ed-38df-4824-a456-c4efbd263320","resolution":{"observed_at":"2026-08-11T14:34:44.078935Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.083413Z","title":"Semantic segmentation of underwater imagery: Dataset and benchmark,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.083413Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:5afc2f95140d0e798876c5bd2ed67597eaf4f915e731dc3acdaa0deb295a9c8d","observation_id":"7fe929f7-2141-4278-bcc4-1a759886b6a1","resolution":{"observed_at":"2026-08-11T14:34:44.083413Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.088200Z","title":"Simultaneous map building and localization for an autonomous mobile robot,","venue":null,"work_id":null,"year":1991},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.088200Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:e40dc0bb3e5f54c7c0ab9707528b9685f99d5a91f1b1c7fe33e8a8c03045171c","observation_id":"fd3dd054-4b0a-4d6b-87e0-80903dee66fb","resolution":{"observed_at":"2026-08-11T14:34:44.088200Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.093237Z","title":"A new approach to linear filtering and prediction problems,","venue":null,"work_id":null,"year":1960},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.093237Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:5f61493808f9a9605b235539f3a0c5438bff1831123eebafdd5aa7b02085286a","observation_id":"17dba3c8-2df8-456a-b794-fe914c20f2ef","resolution":{"observed_at":"2026-08-11T14:34:44.093237Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.098182Z","title":"A tutorial on graph-based slam,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.098182Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:515f028c5027008986dfb808258405f29130b51e746175601459a67c679c1e5a","observation_id":"5448121b-59ab-46bf-892d-b6c01a837514","resolution":{"observed_at":"2026-08-11T14:34:44.098182Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.102440Z","title":"Feature-based under- water localization using imaging sonar in confined environments,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.102440Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:3103203caa63a73e166c7b800bd7e18d9717e3734bff096b62ade9e68483e52d","observation_id":"b885994c-4406-4c36-968b-f696e6553f1a","resolution":{"observed_at":"2026-08-11T14:34:44.102440Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1049/rsn2.12500","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.868025Z","title":"A fully-automatic side-scan sonar simultaneous localization and mapping framework,","venue":null,"work_id":"5bbc70f1-dfd7-4084-8c27-17e74a094779","year":2023},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.106617Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:598b97bdc2612ffd074b1bb055783dee545c5599d51357078e2d2aa352d4df61","observation_id":"bf1acc50-4c51-48af-988e-f83399a19fb1","resolution":{"observed_at":"2026-08-11T14:34:44.874031Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1707.07410","last_updated":"2017-07-24T05:41:35Z","snapshot_observed_at":"2026-08-14T20:45:49.125697Z","submitted_at":"2017-07-24T05:41:35Z","title":"Toward Geometric Deep SLAM","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.07410","snapshot_observed_at":"2026-08-11T14:34:44.111209Z","title":"Toward geometric deep slam,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.111209Z"},"links":{"cited_paper":"/paper/1707.07410","citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:fbfb1103700594e0e6ec4f01f4295a830099e342e2cc786da00b34564115cfab","observation_id":"71708ec5-f7e0-405d-a7a3-ba19dfd20af9","resolution":{"observed_at":"2026-08-11T14:34:44.111209Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.115814Z","title":"Review of underwater slam techniques,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.115814Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:c55e654d2c85f2ba935cd4181636b86c0723ca9a15a4f7b72f3d52563d560473","observation_id":"ea6a1726-2eb8-477a-8afe-0020c185ff38","resolution":{"observed_at":"2026-08-11T14:34:44.115814Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.119745Z","title":"Visual slam for underwater vehicles: A survey,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.119745Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:72e4d7009f6da445854da9eaac04e37e132b73d877590dce74eeb6207b6663e1","observation_id":"7f26631a-2605-4a30-a9bf-edbdfa45951f","resolution":{"observed_at":"2026-08-11T14:34:44.119745Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.123879Z","title":"Svin2: A multi-sensor fusion-based underwater slam system,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.123879Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:a23e650f790a41c3e3325fe43d0a3079e973c694ed4ab6232312a04280be830b","observation_id":"3cc879a5-816c-4c19-92d9-a1316e73aabd","resolution":{"observed_at":"2026-08-11T14:34:44.123879Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.128275Z","title":"Svin2: An underwater slam system using sonar, visual, inertial, and depth sensor,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.128275Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:c4dc98a117188441a87a3da8c008aabc31be851810f6283945819221615bf192","observation_id":"27f14b68-0cbc-412b-9c97-43074d8741fd","resolution":{"observed_at":"2026-08-11T14:34:44.128275Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.132405Z","title":"Adaptive tuning of a kalman filter via fuzzy logic for an intelligent auv navigation system,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.132405Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:5cc803d8eeaee9d5473c71cc189ea1321c81148b909f6359a27fe72447549c03","observation_id":"72d930a6-b756-4281-a25d-e918c700aa4e","resolution":{"observed_at":"2026-08-11T14:34:44.132405Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.136654Z","title":"A dense subframe-based slam framework with side-scan sonar,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.136654Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:482e37b113c1e02942efdb86710a6506bf9bb3f70a2f39529a3ba1cd98e36f5e","observation_id":"2f34f4e6-9cce-42c2-97ca-73990392b4c4","resolution":{"observed_at":"2026-08-11T14:34:44.136654Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.140478Z","title":"Savor: Sonar-aided visual odometry and reconstruction for autonomous underwater vehicles,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.140478Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:28d2a2765ac961f2ab4d01c102bfe656fe6679e08aad44b93d59fdac48c96d81","observation_id":"1dfabc8c-1139-485e-bbde-74c7e98c8bc1","resolution":{"observed_at":"2026-08-11T14:34:44.140478Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.144550Z","title":"An overview of key slam technologies for underwater scenes,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.144550Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:73fce4638b5c15ac8f3bb7d9348712efc8687968bb05a8db2ed2e70727378064","observation_id":"5fc16387-f538-4cf5-ba7b-c64166158841","resolution":{"observed_at":"2026-08-11T14:34:44.144550Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.148976Z","title":"Autonomous underwater vehicle navigation using sonar image matching based on convolutional neural network,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.148976Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:ff9fd0405f5b52f05ae5c2c4a6651d401a229904ebc75393ff4c3ec29d481afa","observation_id":"185ecdb2-5694-4f51-9afc-19b8cd35ddf9","resolution":{"observed_at":"2026-08-11T14:34:44.148976Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.152874Z","title":"Diverse ocean noise classifi- cation using deep learning,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.152874Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:e9871bcfa1754813a5224ef4d9b1b776e0aa636911f1615ffbb34a25d0db23ce","observation_id":"f96e9abc-4822-4473-82e9-786c9a0a5945","resolution":{"observed_at":"2026-08-11T14:34:44.152874Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.157263Z","title":"A dataset with multibeam forward- looking sonar for underwater object detection,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.157263Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:dd72266b30b8ea2904d3060c3d4664fa5e6595643e56e9af5a2ae719d9d6d99b","observation_id":"b23bd96f-9ed2-42a1-8f07-6182113e8a2e","resolution":{"observed_at":"2026-08-11T14:34:44.157263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.161245Z","title":"An adaptive denoising and detection approach for underwater sonar image,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.161245Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:64a2ab05f18b48771f9e6fb7568bf5626901afa3f91f30ff0351c93d0f3334e8","observation_id":"ceee9f6b-1455-40cd-8662-c465f149cfa4","resolution":{"observed_at":"2026-08-11T14:34:44.161245Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.165650Z","title":"Sonar image denoising based on anisotropic guided filtering,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.165650Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:155566a057c81049e71f6c5613314be2472974c9ae165a4ecf115c7dfe626ed8","observation_id":"9973a279-1e2e-474c-8225-f97feb17ed07","resolution":{"observed_at":"2026-08-11T14:34:44.165650Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.170251Z","title":"Deep denoising method for side scan sonar images without high-quality reference data,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.170251Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:15cbd916bd57cefb4727f70f93ebeda21b91c47c619729d3a01c841f8584e8ff","observation_id":"b801ea5e-a3a5-41ab-b5a8-b79684069636","resolution":{"observed_at":"2026-08-11T14:34:44.170251Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s11042-023-17673-z","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-19T11:03:45.297681Z","title":"Remove and recover: two stage convolutional autoencoder based sonar image enhancement algorithm,","venue":"Multimedia Tools and Applications","work_id":"00b85a96-6c14-4d8f-875c-a50301586c1b","year":2023},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.176363Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:cff277ce48de789d708ff21de32fae058ea90c7d33b54424a4fd3bd0d279a415","observation_id":"5d409296-88da-4b7c-a8ee-2677b3498702","resolution":{"observed_at":"2026-08-11T14:34:44.858208Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.181303Z","title":"Research on a feature enhancement extraction method for underwater targets based on deep autoencoder networks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.181303Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:8afe1e509e5f723d9714938d50b17b169eb32ba45526e90dfa96856790ed39ae","observation_id":"24c57384-50b5-4b2e-8c4a-b676019b3e1b","resolution":{"observed_at":"2026-08-11T14:34:44.181303Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.188280Z","title":"Connectionist Bench (Sonar, Mines vs. Rocks),","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.188280Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:6b68be3e2f19baae88990f849d17eefb14970abd3535ca18122f518c2505606b","observation_id":"513dd393-ca17-480c-8456-8b5924ed47eb","resolution":{"observed_at":"2026-08-11T14:34:44.188280Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.193240Z","title":"Side-scan sonar and wa- ter profiler data from Lago Grey,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.193240Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:f2baf3d31a869ff95746944ba402bd64b1f306f76e0d3b3e336cbcde06391d1b","observation_id":"2d791862-4728-4c7b-8040-e20e26deabe6","resolution":{"observed_at":"2026-08-11T14:34:44.193240Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1029/2018gl081441","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.829836Z","title":"Underwater ice terrace observed at the front of glaciar grey, a freshwater calving glacier in patagonia,","venue":null,"work_id":"dd737d3c-7444-424d-862b-238f1ace4a55","year":2019},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.198963Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:2549de9b30b854267ef98a4885bc294c605c6cd381f33cdb82dec663fce0f8a2","observation_id":"33f4141a-056b-4371-b52e-ccb85c54e5e5","resolution":{"observed_at":"2026-08-11T14:34:44.834889Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.203332Z","title":"Ireland’s Open Data Portal,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.203332Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:932a3faa26a109f3bf0582584a5026a7e8a1e8a688e3606ab0923f179bf4e36a","observation_id":"566c8fb8-3c1b-4ed2-84e5-41a0ad4e6b3c","resolution":{"observed_at":"2026-08-11T14:34:44.203332Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.207533Z","title":"U.S. Government’s Open Data,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.207533Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:1d09e710de529a8d5d0dd7982b6f49b1496d4f59980d7c49486668c189d3740f","observation_id":"53dd1e05-5c4f-4eb2-8a73-57942c16dc1b","resolution":{"observed_at":"2026-08-11T14:34:44.207533Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5281/zenodo.7922705","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.815054Z","title":"Side-scan sonar images of marine engineering geology (Marine PULSE Dataset),","venue":null,"work_id":"4ad306e5-bd89-4346-b7f1-b1f586920b31","year":2023},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.211855Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:3cb23da4e2b3b51707db9cc66dfa084642979e4ce67d0083e72ccc6b99b850b0","observation_id":"82732ad6-fe8d-4d6e-87a7-e46ed70402df","resolution":{"observed_at":"2026-08-11T14:34:44.819715Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.219383Z","title":"Revealing the potential of deep learning for detecting submarine pipelines in side-scan sonar images: An investigation of pre-training datasets,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.219383Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:b9aec5920f4bf612b367f9ed3a2ca73f77ed8ef0bd968249bd1e41b40173f7f5","observation_id":"45a217a2-573e-43d9-8362-1aa402a4b632","resolution":{"observed_at":"2026-08-11T14:34:44.219383Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.223820Z","title":"Side Scan Sonar mosaics of selected northern Adriatic mesophotic biogenic reefs off Venice (GeoTIFF image),","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.223820Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:2b5da3488b6b9ba0ee93c970d427cc38c408c5724c80d69141c91ccf7be5597e","observation_id":"c2379c9e-cd1c-4f66-a08a-f63c83bd10da","resolution":{"observed_at":"2026-08-11T14:34:44.223820Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.234504Z","title":"Machine learning for shipwreck segmentation from side scan sonar imagery: Dataset and benchmark,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.234504Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:e835071652f28a76eeefe850717529412b2d32e248ce40639edffd1da449e201","observation_id":"0ff97715-6431-4dd3-a9a5-33c6461b86a8","resolution":{"observed_at":"2026-08-11T14:34:44.234504Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.239187Z","title":"An acous- tic and optical dataset for the perception of underwater unexploded ordnance (uxo),","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.239187Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:3aa0675fb3e996316940569585f4412cd7664a7339effea774a8b258cb046d9d","observation_id":"00d89949-7877-48fa-b8a4-78fe62b1ad54","resolution":{"observed_at":"2026-08-11T14:34:44.239187Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5281/zenodo.10209445","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.783781Z","title":"A Large Scale Side-Scan Sonar Dataset of Seafloor Sediments for Self-Supervised Pretraining,","venue":null,"work_id":"d3e15c26-94f2-438b-b463-1c01ece85728","year":2023},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.243395Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:6fd312861a349f7d0ac8e7f1ecc4d2cc26eaa5230eb252935bfbe77c0484ce36","observation_id":"5636f5bf-66b5-4144-8103-71d174b85b2f","resolution":{"observed_at":"2026-08-11T14:34:44.790134Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.247747Z","title":"Side-scan sonar imaging for Mine detec- tion,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.247747Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:df3fa330e9c76e046707b3e3f32e590a61f1fb7b696a869d3d8841970568e347","observation_id":"14bdfc21-6608-400e-9339-9d5ae01d7270","resolution":{"observed_at":"2026-08-11T14:34:44.247747Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"analysis/1961151","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:45.516638Z","title":"DIDSON fish data and code for analysis,","venue":null,"work_id":"24d45ce7-8c99-4b4a-ad2b-4235520642b1","year":2023},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.252310Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:58076521f5742885f5bfa5063550a9f7795b0c266dada7ef66c573007e9a9aa8","observation_id":"446802d2-8c81-48ff-aa78-7ad65a1de625","resolution":{"observed_at":"2026-08-11T14:34:45.523856Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.256279Z","title":"Optimising the workflow for fish detection in didson (dual-frequency identification sonar) data with the use of optical flow and a genetic algorithm,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.256279Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:7a4d3e02ba472e2f0a4eee8ca6d833008b48dd5b351fb96dffc7ff10056357a9","observation_id":"256b6e27-4555-4759-95c5-e7b0f2e67bcd","resolution":{"observed_at":"2026-08-11T14:34:44.256279Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.260881Z","title":"Marine Debris Turntable,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.260881Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:ef3452cf6466193896386830571bedb84d5d26f6132399fff6016ad2fa9a7ae0","observation_id":"a66c174c-af47-48e4-9227-1658e90564eb","resolution":{"observed_at":"2026-08-11T14:34:44.260881Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.265189Z","title":"The marine debris dataset for forward-looking sonar semantic segmentation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.265189Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:6248b7d2d0f92526febda022e67fe821fa4e1a97a415bea7b6fb5c418e7506ea","observation_id":"3c4e2d47-ada2-4d89-9fd0-bac70baae0af","resolution":{"observed_at":"2026-08-11T14:34:44.265189Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.269547Z","title":"Synthetic aperture sonar seabed environment dataset (sassed),","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.269547Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:f517176ea3c6b3557f81e5234defdf8c2d2b12b8286084c46469d98ed374bd23","observation_id":"dc46fcad-8ab9-404d-8c2d-4ae8f71e1e26","resolution":{"observed_at":"2026-08-11T14:34:44.269547Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.274116Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.274116Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:bd0175766f866f4ee3a61aa33c517afb8a495de226d83ff662e36048ee48db10","observation_id":"4fcffb8d-9e42-4f84-80bb-01274881ff05","resolution":{"observed_at":"2026-08-11T14:34:44.274116Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:34:44.278730Z","title":"Open-set recognition with long-tail sonar images,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.278730Z"},"links":{"citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:cc25d978a6d551cdda4e2bf1293e8b301d7206bb24088cfab8cf19f0d1ac582b","observation_id":"4e3460d4-dd40-4303-a9d4-99c9f048c8ea","resolution":{"observed_at":"2026-08-11T14:34:44.278730Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10554","last_updated":"2024-10-14T14:33:14Z","snapshot_observed_at":"2026-08-16T13:09:35.889451Z","submitted_at":"2024-10-14T14:33:14Z","title":"ROSAR: An Adversarial Re-Training Framework for Robust Side-Scan Sonar Object Detection","version":1},"cited_work":{"arxiv_id":"2410.10554","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.10554","snapshot_observed_at":"2026-08-11T14:34:45.440857Z","title":"ROSAR: An Adversarial Re-Training Framework for Robust Side-Scan Sonar Object Detection","venue":"cs.CV","work_id":"bd0f28f8-1a83-460e-ba61-d2a26cd64964","year":2024},"citing_paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges","version":1},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-11T14:34:44.284544Z"},"links":{"cited_paper":"/paper/2410.10554","citing_paper":"/paper/2412.11840"},"observation_digest":"sha256:aa1895f220a0f782ef91164b14b11012fd36724b30bcd76aa24b4340046052f8","observation_id":"9f7d7746-e64b-4144-890c-6086144eadb0","resolution":{"observed_at":"2026-08-11T14:34:45.446290Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.11840","last_updated":"2024-12-16T15:03:08Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-18T11:00:59.241378Z","submitted_at":"2024-12-16T15:03:08Z","title":"Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":87,"verified_exact":12,"verified_fuzzy":0},"total_outbound_references":181},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 100 of 181 outbound references and 1 inbound Pith citation observation for arXiv:2412.11840."}