{"as_of":"2026-08-09T12:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4d77ff95605d5a97213ddcb5e4eaa83caa549d8b1a041252629373ca2b168dee","coverage":[{"denominator":81,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":81,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:40:40.714835Z","state":"measured"},{"denominator":81,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":81,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.02148/citation-record","integrity":"/paper/2507.02148/integrity","json":"/paper/2507.02148/citation-record.json","paper":"/paper/2507.02148"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:32.800762Z","title":"A revised underwater image formation model","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:32.800762Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:4586336f881d6363c09ea81c8e48b4bd44d72cdc29bef24666138f5029744ecf","observation_id":"0057e26c-4557-4769-acfa-78708f0d4c52","resolution":{"observed_at":"2026-08-06T20:40:32.800762Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:53.287746Z","title":"Sea-thru: A method for removing water from underwater images","venue":null,"work_id":"d81ed356-b35b-40df-9093-80b156e3a081","year":2019},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:32.854912Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:6bb85ca6de96abcfc01240a347c7c425ca341835c55a125877f6d3cc5feb61a0","observation_id":"35455eab-5624-4e96-a74f-0cd445d9a614","resolution":{"observed_at":"2026-08-06T20:40:53.438852Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:53.101809Z","title":"Unav-sim: A visually realistic underwater robotics simulator and synthetic data-generation framework","venue":null,"work_id":"50894fcd-9587-4c9b-8407-5c7a045acfbd","year":2023},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:32.960619Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:1819b23ddf414952810e537a74c2777ec819a8a6ae1137938b4a8bbe1ff34572","observation_id":"7c90036d-4fbe-418a-88d9-3ba847109cce","resolution":{"observed_at":"2026-08-06T20:40:53.182667Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:52.904118Z","title":"Foundation models defining a new era in vision: A survey and outlook","venue":null,"work_id":"9055b5c2-8daf-41e8-8ac8-67a4a9ed18d7","year":2025},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:33.033468Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:770f4faedd04478a60d77db994415a74b3a0e8c09949303300f91b5722f56625","observation_id":"9d51141a-c34c-445c-a722-9b6de9ecfecc","resolution":{"observed_at":"2026-08-06T20:40:53.001632Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:52.679767Z","title":"Underwater single image color restoration using haze-lines and a new quantitative dataset, 2018","venue":null,"work_id":"32be4e61-5d0c-4a67-bb3d-976811dd9a2c","year":2018},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:33.116432Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:9403b88fc7b6d1efa8d9c4f8441b49f83f562f39312678cca589970543ad10b6","observation_id":"185ff31d-48a7-42a6-9854-c2538d2cf2c4","resolution":{"observed_at":"2026-08-06T20:40:52.779564Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:52.518492Z","title":"Zoedepth: Zero-shot transfer by com- bining relative and metric depth, 2023","venue":null,"work_id":"006c34dc-e768-420f-872e-5c8881eaf63a","year":2023},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:33.199947Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:94c04affbc51813749cb5fcfee2abdc4cbfdf9773a4b0ed79b6b4473e8af24c2","observation_id":"56dc21e7-9160-4e81-87f0-710cd9aec7fc","resolution":{"observed_at":"2026-08-06T20:40:52.613018Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:52.307031Z","title":"Richter, and Vladlen Koltun","venue":null,"work_id":"5d931681-a538-489a-b684-4ddf6e0cf379","year":2025},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:33.308274Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:11d7278eeb4dc94568d20f5561e5bf75908a56f83238c2ad6a9cc11d4f32bd6e","observation_id":"453ba459-940a-45f3-9271-89bb8362f397","resolution":{"observed_at":"2026-08-06T20:40:52.400887Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T20:40:33.441143Z","title":"Pyramid stereo matching network","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:33.441143Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:72b592fa1553b983492c45a1a9df87b32e11597ebc9925a787816d97d4842028","observation_id":"8d7e156f-0f54-4e5d-bbd4-e0fc065b031b","resolution":{"observed_at":"2026-08-06T20:40:33.441143Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.01548","last_updated":"2022-03-13T18:58:43Z","snapshot_observed_at":"2026-08-09T06:57:13.729154Z","submitted_at":"2021-06-03T02:08:03Z","title":"When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.01548","snapshot_observed_at":"2026-08-06T20:40:33.571364Z","title":"When vision transformers outperform resnets without pre- training or strong data augmentations.arXiv preprint arXiv:2106.01548, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:33.571364Z"},"links":{"cited_paper":"/paper/2106.01548","citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:458f9097dab9849a0c995731477d1e23d180f37672be6f826bc3ae3ed68d08fc","observation_id":"b51d2024-dffd-4dff-8b70-f427e1b6211f","resolution":{"observed_at":"2026-08-06T20:40:33.571364Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:52.016808Z","title":"Chiang and Ying-Ching Chen","venue":null,"work_id":"8161854b-673a-4928-bcac-ee01c1c49e56","year":2012},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:33.757386Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:3081a659c28066fb273b8bc5e4f96c894f828d20c800b2f14d859f100463e5e6","observation_id":"4ebcbc5c-74ab-4bdd-bbac-c391ead298eb","resolution":{"observed_at":"2026-08-06T20:40:52.143676Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:51.830342Z","title":"Best practices for fine-tuning vi- sual classifiers to new domains","venue":null,"work_id":"d9f4e5fc-48ca-4236-a84d-590c77801017","year":2016},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:33.909387Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:2246c883a8fb6d959894b4e520a4d2935467b4b5e389cb5c193f9c50881042c0","observation_id":"5d66ab71-40b0-4238-a579-bc7478abd320","resolution":{"observed_at":"2026-08-06T20:40:51.915546Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1301.3572","last_updated":"2013-03-14T18:18:17Z","snapshot_observed_at":"2026-08-03T15:16:21.495472Z","submitted_at":"2013-01-16T03:31:30Z","title":"Indoor Semantic Segmentation using depth information","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1301.3572","snapshot_observed_at":"2026-08-06T20:40:34.026081Z","title":"Indoor semantic segmentation using depth in- formation.arXiv preprint arXiv:1301.3572, 2013","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:34.026081Z"},"links":{"cited_paper":"/paper/1301.3572","citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:d3ec352e81823e8c6a8e12abf625e8acaf88a80c4ecf219c8a86bbe6687def33","observation_id":"e6db1085-0f8d-49e8-b9f8-575f948b8a74","resolution":{"observed_at":"2026-08-06T20:40:34.026081Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:51.597173Z","title":"Diffusion models in vision: A survey","venue":null,"work_id":"eb1dd5d6-5d43-49f6-81ec-dc128a035ffc","year":2023},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:34.122603Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:cdf334c4f7c1b952ecae90ce91104dda6811ccebf008efb25f6c8d66c92c9d4b","observation_id":"ecd7ef34-bc81-4f3f-b2ca-bde9a40832a5","resolution":{"observed_at":"2026-08-06T20:40:51.699875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:51.430116Z","title":"Davis, R","venue":null,"work_id":"737f5108-a261-4b09-b137-d9cb78587559","year":2003},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:34.220854Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:a23011e547ff50ed6ff398aa8b457c81af3e1eb1b44d865661684fc1badb6d74","observation_id":"4825eb0d-a9a7-4c09-b43d-af3633cf396d","resolution":{"observed_at":"2026-08-06T20:40:51.505759Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:51.203068Z","title":"CRC Press, 2017","venue":null,"work_id":"01d33b41-200f-4026-8772-d76acb1a8e81","year":2017},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:34.296088Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:94dc6d2eeb3db5c6f9144b535a1a250ed1aa9ac8b891aa0ab6820ec9fdc9d949","observation_id":"c364d7cf-fb29-43e4-a17c-125e55b2ff4e","resolution":{"observed_at":"2026-08-06T20:40:51.289553Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","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":"2026-08-06T20:40:34.385418Z","title":"An image is worth 16x16 words: Trans- formers for image recognition at scale.arXiv preprint arXiv:2010.11929, 2020","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:34.385418Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:794b6d64c1c4df0596279f2288b1a01618bd57811523ce62381c0209b90f2c73","observation_id":"b8f06a59-1f3d-4f10-b8bb-239d46504ba6","resolution":{"observed_at":"2026-08-06T20:40:34.385418Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:51.012792Z","title":"Simultaneous local- ization and mapping: part i.IEEE robotics & automation magazine, 13(2):99–110, 2006","venue":null,"work_id":"6d8aabb7-d0b6-4f23-87da-f486711adcc2","year":2006},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:34.470886Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:81f74c393ece2c06699ea2bceb8bf64551165a4f5cb4b860c5859fa4e95506ca","observation_id":"714fd5ba-4447-45ec-92d4-b182db3b70dc","resolution":{"observed_at":"2026-08-06T20:40:51.092152Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:50.810860Z","title":"Metri- cally scaled monocular depth estimation through sparse pri- ors for underwater robots, 2023","venue":null,"work_id":"25252161-85dd-4083-8d96-ff9132d65d1f","year":2023},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:34.579896Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:380359f627b5782c857a3059fe35379e0848b36226d68d5b28b90199f1a9322f","observation_id":"aeab5958-ba7d-4ea5-9191-b6a7a92fe8a3","resolution":{"observed_at":"2026-08-06T20:40:50.890413Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:50.580285Z","title":"Depth map prediction from a single image using a multi-scale deep net- work, 2014","venue":null,"work_id":"054576d7-0065-4089-b0bf-328836858173","year":2014},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:34.642632Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:acbb674e64feb1db9a50fd417408128b16d41bec82300a9d2ea64f259357a286","observation_id":"77cf977c-73ba-49a2-bc6e-14d358f4a00d","resolution":{"observed_at":"2026-08-06T20:40:50.716986Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:50.421138Z","title":"3-d mapping with an rgb-d camera","venue":null,"work_id":"6c5b0e46-eafe-43ec-9b31-a9af61d98a13","year":2013},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:34.724586Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:5bfc73af3df54f6e40b1653ae25833dd8e4e761f7d4bbb025138fce2a428bad1","observation_id":"3eab2362-a940-4d43-bab2-03629634de0a","resolution":{"observed_at":"2026-08-06T20:40:50.495104Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:50.286607Z","title":"Relocating underwater features au- tonomously using sonar-based slam.IEEE Journal of Oceanic Engineering, 38(3):500–513, 2013","venue":null,"work_id":"f85c761d-3195-4864-8f4b-47d884bbb03a","year":2013},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:34.797309Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:cbf453da6e54004a1b6f0d99da000f65ab731df9087755a81096c23e8030de59","observation_id":"af92b983-06bc-4f13-aa03-ad3728a43302","resolution":{"observed_at":"2026-08-06T20:40:50.336120Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:50.080256Z","title":"Underwa- ter object detection: architectures and algorithms–a compre- hensive review.Multimedia Tools and Applications, 81(15): 20871–20916, 2022","venue":null,"work_id":"9393eeeb-ea4e-44de-b673-7d354d7ea60f","year":2022},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:34.865736Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:bab0b8eb88496f5193dc9cc9be448980bb732711965bdb394c9e2da3ffe5161f","observation_id":"a804e5a7-ad91-4f8b-ad6e-c9e1a6011f43","resolution":{"observed_at":"2026-08-06T20:40:50.209857Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T20:40:34.932292Z","title":"Vision meets robotics: The kitti dataset.The in- ternational journal of robotics research, 32(11):1231–1237,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:34.932292Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:4ccf2f5b14e66d857a35cbb2d065594e96f1f2fd571f711b404555c58745f37f","observation_id":"2db74c91-0706-4541-9ab4-92b6b6018beb","resolution":{"observed_at":"2026-08-06T20:40:34.932292Z","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":"2026-08-06T20:40:35.011439Z","title":"Digging into self-supervised monocular depth estimation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:35.011439Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:252698a928bfe211b2664e68357db329446edd13d7efcf1df64819571885e735","observation_id":"6ae8de60-9b3d-4fae-b842-3fa36c2bee2a","resolution":{"observed_at":"2026-08-06T20:40:35.011439Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:49.915949Z","title":"Gonz ´alez-Sabbagh and Antonio Robles-Kelly","venue":null,"work_id":"4231f0be-66c2-4f9a-9688-9262f3374c4f","year":2023},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:35.116561Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:0b866eb1bb387b69446f03094b1b0ca60edc6744707316ee4b257c5d1bb0401d","observation_id":"beac2586-b35d-4595-ba12-ecd60534a797","resolution":{"observed_at":"2026-08-06T20:40:49.992026Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:49.748488Z","title":"Uw-gan: Single-image depth estimation and image enhancement for underwater images.IEEE Transactions on Instrumentation and Measurement, 70:1–12, 2021","venue":null,"work_id":"b22afeb4-a01a-435b-b02e-d03d3aeb409a","year":2021},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:35.183277Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:ead862142d7466bb2b6b79fcd9584016e5312425319781c14ec96ec38ed0c010","observation_id":"90f9bbc4-6341-4c1c-871c-74d860a35018","resolution":{"observed_at":"2026-08-06T20:40:49.823553Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:49.559847Z","title":"Single image haze removal using dark channel prior.IEEE Transactions on Pat- tern Analysis and Machine Intelligence, 33(12):2341–2353,","venue":null,"work_id":"4577f875-550a-422a-b63a-96a279dbf99e","year":null},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:35.271212Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:73027d9cb762131d0818b14622e806fb8e995c655b0b2388bfeaee13e8ff7cc1","observation_id":"44a68432-2c5f-42e8-b31f-8c01d87555ef","resolution":{"observed_at":"2026-08-06T20:40:49.647281Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:49.323049Z","title":"Distill any depth: Distillation creates a stronger monocular depth estimator, 2025","venue":null,"work_id":"aa69e393-465f-47f1-90e2-0689d8f5376d","year":2025},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:35.357979Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:f703f0ee6bd27a814148336a6d49c2beabfcf28a699fcec0f3d2fde10c329aef","observation_id":"56b8f69d-981a-4945-a03a-84227b364d88","resolution":{"observed_at":"2026-08-06T20:40:49.414392Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:49.162086Z","title":"Teacher-student architecture for knowl- edge distillation: A survey, 2023","venue":null,"work_id":"098181e3-030e-449d-b76a-0fc255d6d842","year":2023},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:35.449680Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:2de1b444d1419da002fef6a5dd572a5f64b324ed4407dcc78e18d8d4c40ccd8f","observation_id":"c1fab47c-1866-492c-b234-d4ec0d959019","resolution":{"observed_at":"2026-08-06T20:40:49.236607Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:48.962035Z","title":null,"venue":null,"work_id":"075fc197-08c2-458e-899e-74657382b1e4","year":2024},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:35.529272Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:fd7a93913247dda7bd0bd2b6411563fa0724656bd5580429b6dddd4b9fbd5097","observation_id":"f88eb5a5-3abd-49ef-8de3-7324db6bc540","resolution":{"observed_at":"2026-08-06T20:40:49.053464Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:48.778021Z","title":"Why warmup the learning rate? underlying mechanisms and improvements,","venue":null,"work_id":"0ae351e9-6fd2-4f30-8e4a-e414d9288599","year":null},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:35.616486Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:5a51168472e0fa03240289f913b1c6dbdf1cf418f6aad062e5fd04375e67ee5d","observation_id":"695c322c-a075-4f74-b47d-89f5bc02aec7","resolution":{"observed_at":"2026-08-06T20:40:48.861066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:48.614889Z","title":"Underwater optical-sonar image fusion systems.Sensors, 22(21):8445,","venue":null,"work_id":"dbc8651f-be5d-449e-bd79-95fa38d3876d","year":null},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:35.717956Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:437697267e4e6d4dd8d2d463bafc7d5bdf602102e4bfa0946782e248aafd694c","observation_id":"dc8b6fc8-b624-470d-b143-a24dc1e256d2","resolution":{"observed_at":"2026-08-06T20:40:48.702260Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:48.388531Z","title":"Fine-tuning can distort pretrained fea- tures and underperform out-of-distribution, 2022","venue":null,"work_id":"9d69915c-a95f-46c9-ace9-a785b748cd66","year":2022},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:35.802362Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:f66ce8b044beea4a3e68f886fdd999c3385cfea965cbc2d314f62097e22845fd","observation_id":"ca632d0b-18bc-4bac-b867-563ebdaae0df","resolution":{"observed_at":"2026-08-06T20:40:48.499312Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:48.112468Z","title":"An underwater image enhancement benchmark dataset and beyond.IEEE transac- tions on image processing, 29:4376–4389, 2019","venue":null,"work_id":"447ef2e5-74fc-4454-925a-da0ba0d0f127","year":2019},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:35.865764Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:c4997d8186ea7c427b7e28f45e697a28aa9acbc465b398c650c63fc96980ec53","observation_id":"4b999115-294c-44fa-ad85-a2477c150377","resolution":{"observed_at":"2026-08-06T20:40:48.242412Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:47.921415Z","title":"Sgdr: Stochastic gradient descent with warm restarts, 2017","venue":null,"work_id":"590a9297-0ca6-4aac-bcf8-543f12055154","year":2017},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:35.949985Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:7a7c65278a8a4f5c463508de7e221b3c98a1488697b1677f4f3caa84527fa677","observation_id":"49b1b84f-d91d-4b86-b764-ab6d552919d9","resolution":{"observed_at":"2026-08-06T20:40:48.016478Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T20:40:36.040919Z","title":"Decoupled weight decay regularization, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:36.040919Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:db4a75bf0d186b4436bd2dd999fd4faae8764ec6f9f7f4f3aeb9b55099022bf2","observation_id":"bc4948ae-653d-444f-8d7b-48fb277c590c","resolution":{"observed_at":"2026-08-06T20:40:36.040919Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:47.763153Z","title":"A survey on vision-based uav navigation.Geo- spatial information science, 21(1):21–32, 2018","venue":null,"work_id":"9888e697-894a-4985-8801-f845942c2f63","year":2018},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:36.165010Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:382b7454a472b55893009016a2148ad3fab8e420b4930cf3580e540c1c7c4828","observation_id":"47b45c88-f80d-41a1-96bd-132f2b97260c","resolution":{"observed_at":"2026-08-06T20:40:47.842500Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:47.568299Z","title":null,"venue":null,"work_id":"29e1503c-124e-49eb-83e0-85e99676b7eb","year":2017},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:36.288604Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:9b9c019e2653d69431543520db42108086a897aa86e57432f1f984ab80f407d1","observation_id":"0ec03e7e-e554-4cdb-9af6-7d41bdd71b15","resolution":{"observed_at":"2026-08-06T20:40:47.676679Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:47.395042Z","title":"Autonomous inspection using an underwater 3d lidar","venue":null,"work_id":"cd64ea41-2d6e-4622-99ac-a65c1bbdf176","year":2013},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:36.363495Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:51861843e2045691bfe8c062c761b15d7fe1515a58ec6d66ec89b5575e52589f","observation_id":"3af1afb9-7f26-4d5a-8ea0-a32a84bd2d6f","resolution":{"observed_at":"2026-08-06T20:40:47.483295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:47.258745Z","title":"Mobilevit: Light- weight, general-purpose, and mobile-friendly vision trans- former, 2022","venue":null,"work_id":"7acf3b4c-d25a-4550-96e8-fe1554cd5529","year":2022},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:36.446631Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:6356de73451e87281f414155972bbacbaf8b691808d104d79ffad0bcb86e4319","observation_id":"20707965-a458-4af9-bd75-24669c1d0861","resolution":{"observed_at":"2026-08-06T20:40:47.321101Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:47.061904Z","title":"Deep learning for monocular depth estimation: A review.Neuro- computing, 438:14–33, 2021","venue":null,"work_id":"8501d8b9-aba7-467d-b817-1d0f1bf59cda","year":2021},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:36.555142Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:b9fc3e48d64bb7eb0339a009e106798447a776ab905f9302f26554c945f8fb39","observation_id":"3ad353da-6331-4371-9053-fe8ad4a66a3c","resolution":{"observed_at":"2026-08-06T20:40:47.178540Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:46.878463Z","title":"Adjeroh, and Gi- anfranco Doretto","venue":null,"work_id":"d6d5fe1a-fd5f-4ee9-b511-11bea13a37a4","year":2017},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:36.669176Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:7c241c20400a0820d8fba1407d6dcdc29c9bbd4535cd5121808959a48d7b3117","observation_id":"75418950-6edf-4d83-b70e-5d9d9db4f060","resolution":{"observed_at":"2026-08-06T20:40:46.984168Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:46.626569Z","title":"Springer, 2021","venue":null,"work_id":"7372551f-7b5a-4b66-8350-42b832fbb72c","year":2021},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:36.757570Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:36efaeab3bc25fcc5d0b3dbdc322666bc68a49c6d69e7ecb2e2a01d075f17fd8","observation_id":"397057af-1c61-4bce-9cd8-4244c7ebfbde","resolution":{"observed_at":"2026-08-06T20:40:46.749411Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:46.406412Z","title":"A survey of structure from motion, 2017","venue":null,"work_id":"b4d14408-fdce-4d4a-9f7a-603047152416","year":2017},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:36.843479Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:879076d38cea2ea013b17dc4c7b9555add0539d2012e1cbbd0a78894f0f175fa","observation_id":"34409d7e-baac-41d5-b4e6-6090b40367bb","resolution":{"observed_at":"2026-08-06T20:40:46.521647Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:46.072238Z","title":"Autonomous mapping of underwater 3-d structures: From view planning to execution.IEEE Robotics and Au- tomation Letters, 3(3):1965–1971, 2018","venue":null,"work_id":"8581fce5-0baa-49b2-96df-6996c45af40a","year":1965},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:36.940851Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:bdc2abbfb015080817c0467e89ef73bbc24c5c66044e961d7b4ebbf973dae695","observation_id":"4ae9535f-a872-40f9-8bc9-319361b1954f","resolution":{"observed_at":"2026-08-06T20:40:46.256579Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:45.798385Z","title":"Visual domain adaptation: A survey of recent advances.IEEE Signal Processing Magazine, 32(3):53–69,","venue":null,"work_id":"a9bdb279-2596-4519-a99e-78413c5d9947","year":null},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:37.047379Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:0f2f24d3b8f477e4a4423a55237f75a8af2e32c4c76cef4bc6251f2b9e86ea3c","observation_id":"4fbab741-3b52-4d6f-bf95-516159b0f94f","resolution":{"observed_at":"2026-08-06T20:40:45.917016Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:45.552272Z","title":"Unidepthv2: Universal monocular metric depth estimation made simpler, 2025","venue":null,"work_id":"a89ecbc9-3d53-4471-ae68-dc6a6e44d1c1","year":2025},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:37.148415Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:83dd6f3415eb1ee820392a1f417e590d2439d1beed170f0f78fbda821b139cfa","observation_id":"ee0c203e-f28b-4591-84a1-5ab2dd0e8a68","resolution":{"observed_at":"2026-08-06T20:40:45.665308Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:45.237263Z","title":"Z-splat: Z-axis gaussian splatting for camera-sonar fusion.IEEE Transactions on Pat- tern Analysis and Machine Intelligence, 2024","venue":null,"work_id":"03946926-5fcf-4f6f-9ba2-68bd3b641cb6","year":2024},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:37.250133Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:e8cc9efeca34c95bca4c11869ad19950b2114620485ddd7d8801455dfd950803","observation_id":"f807f409-3d0e-478f-b72e-2d08c6d081a0","resolution":{"observed_at":"2026-08-06T20:40:45.433677Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:44.946015Z","title":"Svin2: An underwater slam system using sonar, visual, inertial, and depth sensor","venue":null,"work_id":"f52a470f-02e1-4c86-8644-7469952a3965","year":2019},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:37.357834Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:962b7ffb20439d28a326814af509db8d123ff56a534c58e950b58b1516d007f6","observation_id":"9d229284-6f99-4b15-8d0d-609eabc4ff17","resolution":{"observed_at":"2026-08-06T20:40:45.100515Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:44.628233Z","title":"PhD thesis, ProQuest Dissertations Publishing,","venue":null,"work_id":"8a19941f-4dff-4219-9434-d88f95a43802","year":null},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:37.532920Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:ad954ab670f039c59947913bf29181ad370f9de9e9828c95338112f07ff6844b","observation_id":"2f0d2166-0927-4704-82ae-21e00dc14080","resolution":{"observed_at":"2026-08-06T20:40:44.781643Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:44.030374Z","title":"Vi- sion transformers for dense prediction","venue":null,"work_id":"2099bfaf-c5da-4597-a96f-2d22110c6170","year":2021},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:37.703137Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:9b43ca42c4c70e93e6d048be9015620e59b31d141494787ac5d92b9e7720e368","observation_id":"752e11d7-6f1f-406e-a3a9-55879eea0093","resolution":{"observed_at":"2026-08-06T20:40:44.189202Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:43.846502Z","title":"Underwater image enhancement: a comprehensive re- view, recent trends, challenges and applications.Artificial Intelligence Review, 54:5413–5467, 2021","venue":null,"work_id":"e9a7f227-92e1-4963-a1c4-d8e8ec57e891","year":2021},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:37.822430Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:2968e210f9ffd30601a0a68e8bca49ed4f9fddfdcc0c23babec303ba3d3fb1a1","observation_id":"eee029d8-00cb-41a9-8ead-0184e1dee1df","resolution":{"observed_at":"2026-08-06T20:40:43.902092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T20:40:37.925631Z","title":"Susskind","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:37.925631Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:207427070c164c8e28a21911d5a257939285341f21c8c28cb9bb2646a6897018","observation_id":"296307c8-2259-4631-830f-47f8dae57970","resolution":{"observed_at":"2026-08-06T20:40:37.925631Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:43.765819Z","title":"Mobilenetv2: Inverted residuals and linear bottlenecks, 2019","venue":null,"work_id":"7f0e547f-a16b-4312-a378-a5abb25d6e92","year":2019},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:38.043420Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:d968bb52b21badfac04ea81999b35bfae635f23ed81703194035d23c143e6e0b","observation_id":"f34a1d23-45ff-4623-ac3d-4ede2d760953","resolution":{"observed_at":"2026-08-06T20:40:43.827646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:43.654754Z","title":null,"venue":null,"work_id":"138acce0-6723-4b67-8794-b7d3b5ee5ae5","year":2007},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:38.186637Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:f26db16182aa1107e0825fefabc52f665aa1fbecb9a544ed73e73dd6c8697f5d","observation_id":"2121510e-998e-454f-b68f-c1b450424f68","resolution":{"observed_at":"2026-08-06T20:40:43.711169Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:43.532014Z","title":"Schechner and N","venue":null,"work_id":"33af0929-abac-440b-89b2-684119f36395","year":2004},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:38.265828Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:bce48706f96744b4b4ff3170c317a93fbbbe47f7614fc9522523ffdb8f90b812","observation_id":"1882a4b9-ab5d-4f2a-ad4b-7822f889d2b4","resolution":{"observed_at":"2026-08-06T20:40:43.598045Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:43.449707Z","title":"Unsupervised low-light image enhancement by extracting structural similarity and color consistency.IEEE Signal Pro- cessing Letters, 29:997–1001, 2022","venue":null,"work_id":"7903d3bc-aa2a-4526-981e-6b0cfd92d174","year":2022},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:38.401183Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:591d21f92849806ccccda9e8a1bf0acd2ab6680a6d163397b1a4e6dd43357f71","observation_id":"3ed96227-1f85-41ba-b32c-2e1fb5703b8d","resolution":{"observed_at":"2026-08-06T20:40:43.497543Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:43.363479Z","title":"Solonenko and Curtis D","venue":null,"work_id":"bf6b4981-2c47-4c20-8b49-5129e36bce33","year":2015},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:38.504622Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:e31c3d83bacfcb2562e2f8dddc46400b9397b6d3f13f3fd07e4401cee8731b6a","observation_id":"028029a5-ded7-4c80-830d-d31b0fcf2652","resolution":{"observed_at":"2026-08-06T20:40:43.413104Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.10270","last_updated":"2022-06-23T10:51:04Z","snapshot_observed_at":"2026-08-06T08:18:31.112514Z","submitted_at":"2021-06-18T17:58:20Z","title":"How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.10270","snapshot_observed_at":"2026-08-06T20:40:38.631360Z","title":"How to train your vit? data, augmentation, and regularization in vision transformers.arXiv preprint arXiv:2106.10270, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:38.631360Z"},"links":{"cited_paper":"/paper/2106.10270","citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:aed3b481ecdf185809e319c58a8068c54207da57e694a89f6478bb77041e01d2","observation_id":"6b183a73-cc2c-4838-b1c5-c9976c695e2e","resolution":{"observed_at":"2026-08-06T20:40:38.631360Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:43.260146Z","title":"Review of underwa- ter sensing technologies and applications.Sensors, 21(23): 7849, 2021","venue":null,"work_id":"ba519d7b-da91-4256-b19b-5571e4c9cc4e","year":2021},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:38.735473Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:eea81f7a5edea7a2974060080deea0ddb2b21a8282b14a6e1695001bffe10e56","observation_id":"d5e8c015-7ed2-485a-ae5c-c804d042a19a","resolution":{"observed_at":"2026-08-06T20:40:43.296567Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:43.135947Z","title":"Vi- sual slam algorithms: A survey from 2010 to 2016.IPSJ transactions on computer vision and applications, 9(1):16,","venue":null,"work_id":"618623fd-d152-4129-9e3c-e443019cd7ec","year":2010},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:38.813816Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:d0e62aee23e840701149576701e671c7e2919c866d60131d7975db192f709d5d","observation_id":"e023b084-8cff-4c9c-bc26-713bd79d9cb8","resolution":{"observed_at":"2026-08-06T20:40:43.209877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.03762","last_updated":"2023-08-02T00:41:18Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","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":"2026-08-06T20:40:38.900703Z","title":"Gomez, Lukasz Kaiser, and Illia Polosukhin","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:38.900703Z"},"links":{"cited_paper":"/paper/1706.03762","citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:87356bc5efeb5cc045ef23b95eff8999149689b855c5770c065aec83ce0fc7a5","observation_id":"ef0029be-5096-4336-9b8f-3b1ca4dc19c5","resolution":{"observed_at":"2026-08-06T20:40:38.900703Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:43.057325Z","title":"Wagner, Nadieh Khalili, Raghav Sharma, Melanie Boxberg, Carsten Marr, Walter de Back, and Tingying Peng","venue":null,"work_id":"5be08ce5-ec2c-4789-9dbf-2f93fb2b5bda","year":2021},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:38.997653Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:bd0b61a8781d41da1afe2214b7165cd34627696952b1c34404ccfcd983034734","observation_id":"c921e5c7-9de2-4eb3-8643-615dd160a4c1","resolution":{"observed_at":"2026-08-06T20:40:43.087656Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:42.946110Z","title":"Underwa- ter localization and 3d mapping of submerged structures with a single-beam scanning sonar","venue":null,"work_id":"e53bbbbf-75d4-4e35-bfec-4b455113bf17","year":2017},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:39.123786Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:a89080bf988a26324ca3a1177f1cf3a0b470e2c6a082cabbc536b46f0641cf0e","observation_id":"833ecaa1-fdc5-40b4-ab0b-0f2e32bf70af","resolution":{"observed_at":"2026-08-06T20:40:43.009276Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:42.802431Z","title":"Domain adaptation for underwater im- age enhancement.IEEE Transactions on Image Processing, 32:1442–1457, 2023","venue":null,"work_id":"00ea73bd-c349-4853-bd26-e160f1f0655f","year":2023},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:39.232573Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:2d54604659e3a8cc199de7d1608a0ca4ada59a63fd3d11f132ff74d3af62f1a4","observation_id":"63d45296-9e08-451f-8851-b6d276bc1cbf","resolution":{"observed_at":"2026-08-06T20:40:42.884686Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:42.690184Z","title":null,"venue":null,"work_id":"ba18f3b7-72a1-45ac-be2e-128744a48960","year":2023},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:39.306226Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:f96232c143b25409e6e1331f5617fd0c7cccd6d260283b91aedab41d8499857b","observation_id":"6037ca09-44d4-471e-b5bb-aaafbabc6a64","resolution":{"observed_at":"2026-08-06T20:40:42.740924Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:42.585758Z","title":"Con- vnext v2: Co-designing and scaling convnets with masked autoencoders","venue":null,"work_id":"a71e3c9b-a7e9-4d2e-a1ff-5e75f1dd7da8","year":2023},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:39.381649Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:2dd68737d41aebcf29507713d4bbbd87ad9f3a67b92fd1910b3fb864a47067d5","observation_id":"213470fa-9bcf-490c-b738-11c7c28b1d91","resolution":{"observed_at":"2026-08-06T20:40:42.622846Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1903.11750","last_updated":"2020-05-11T18:29:06Z","snapshot_observed_at":"2026-08-07T05:24:10.435686Z","submitted_at":"2019-03-28T01:27:10Z","title":"Navigation in the Presence of Obstacles for an Agile Autonomous Underwater Vehicle","version":2},"cited_work":{"arxiv_id":"1903.11750","doi":null,"metadata_source":"pith","pith_arxiv_id":"1903.11750","snapshot_observed_at":"2026-08-06T20:40:40.847270Z","title":"Navigation in the Presence of Obstacles for an Agile Autonomous Underwater Vehicle","venue":"cs.RO","work_id":"7c385872-244c-4227-9b9a-e8e672540371","year":2019},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:39.461814Z"},"links":{"cited_paper":"/paper/1903.11750","citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:bd38baa70b28692e25c27e9d80abe9a05dff15769d70374aa056162a17c953af","observation_id":"6d4b6045-e9a6-4c28-ad3d-484b4dd39fe2","resolution":{"observed_at":"2026-08-06T20:40:40.905345Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:42.404043Z","title":"A systematic review and analysis of deep learning-based underwater object detection.Neurocomput- ing, 527:204–232, 2023","venue":null,"work_id":"60784535-512d-4ed5-abac-cc12b56cb179","year":2023},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:39.537021Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:af01020f38845481f8e377226d19e407243c83bd8ac2efe336eaf04b015081a0","observation_id":"da63f1f4-6dcd-4c1b-92ff-cc42fa1da1be","resolution":{"observed_at":"2026-08-06T20:40:42.498755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:42.180283Z","title":"Depth anything: Unleashing the power of large-scale unlabeled data","venue":null,"work_id":"ce0c91a3-4b2b-4673-ba1a-e23d5181f702","year":2024},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:39.618917Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:3aed80574d188b198eb8c309ee08148b0d3a09052efc234fb3a3a568b3cc42b7","observation_id":"8895f061-9bae-4b66-9281-80ddc0c7eb78","resolution":{"observed_at":"2026-08-06T20:40:42.305190Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T20:40:39.702402Z","title":"Depth any- thing v2.Advances in Neural Information Processing Sys- tems, 37:21875–21911, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:39.702402Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:2c4a8acd1f491fe21bf5d6cf42838525734eacb8c09e6ba292d43aae2dc444bb","observation_id":"904f8fea-3bb0-43ed-a688-4c262fcbb16e","resolution":{"observed_at":"2026-08-06T20:40:39.702402Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:41.994749Z","title":"Udepth: Fast monocular depth estimation for visually-guided underwater robots","venue":null,"work_id":"320e4ca9-b224-4900-af31-09be3e203bf3","year":2023},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:39.808821Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:30c232b72fd20ab81c60998c452031c27df77b79c58f59cfe54862a238dc0f67","observation_id":"c880b6af-3d15-46b4-bc42-81a2091f21c3","resolution":{"observed_at":"2026-08-06T20:40:42.075637Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:41.831792Z","title":"Atlantis: En- abling underwater depth estimation with stable diffusion","venue":null,"work_id":"80affeac-c293-46af-97a5-7dbfa44e3a09","year":null},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:39.900928Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:efe9ff0c5580fa6f843a9f82493dc81cb303aa8c6c7cbdac7e8d659641c1ad43","observation_id":"b25f2ee8-5288-4194-bcad-2afb07e036f8","resolution":{"observed_at":"2026-08-06T20:40:41.922757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:41.685171Z","title":"Survey on monocular metric depth estima- tion, 2025","venue":null,"work_id":"88663210-09f1-4e3d-acb1-d0f6a5dc7c01","year":2025},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:40.000675Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:f2b4293573ced68a29df5bc3ac40215328f92461a59da15e8ddd04cc83dce34b","observation_id":"14f3d60c-7fec-442e-9983-f9c4362ac86b","resolution":{"observed_at":"2026-08-06T20:40:41.751166Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T20:40:40.107543Z","title":"Adding conditional control to text-to-image diffusion models, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:40.107543Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:1d80f05f96dbd1d1bd13836b4cac55b57bd9a974d672580f3d4a198479b611e5","observation_id":"0ce7bf17-7f7a-424d-811d-870064844d7e","resolution":{"observed_at":"2026-08-06T20:40:40.107543Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:41.476095Z","title":"An open-source, fiducial-based, un- derwater stereo visual-inertial localization method with re- fraction correction","venue":null,"work_id":"378d334e-f4d0-4d00-ab70-c80b02f5fead","year":2021},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:40.236270Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:c3947313a94bb40f68196418a87dd252d390d018759317e2b470988a43844649","observation_id":"5322357e-4a27-4491-98d3-4b70fa1b78e9","resolution":{"observed_at":"2026-08-06T20:40:41.610170Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:41.335328Z","title":"Overview of underwater trans- mission characteristics of oceanic lidar.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14:8144–8159, 2021","venue":null,"work_id":"04122fde-42a0-4c4b-8986-7f3f12020bdb","year":2021},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:40.402543Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:6d1615cf2ca23e1b9ad879fb4cbd514eb0634b4e86edd577f3ec9d748bd5eb36","observation_id":"990bd285-6fde-4141-9696-2e8ce44c883d","resolution":{"observed_at":"2026-08-06T20:40:41.401948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1703.10593","last_updated":"2020-08-24T16:51:03Z","snapshot_observed_at":"2026-08-07T20:56:03.378091Z","submitted_at":"2017-03-30T17:44:17Z","title":"Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1703.10593","snapshot_observed_at":"2026-08-06T20:40:40.513899Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:40.513899Z"},"links":{"cited_paper":"/paper/1703.10593","citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:03ae273b34683be4dcb11bdbd30896dc8a4834d73aa599e64750b2d724513bdb","observation_id":"abc40dad-0b1b-4245-8229-9dd744926876","resolution":{"observed_at":"2026-08-06T20:40:40.513899Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:41.172053Z","title":"Surrogate gap minimization improves sharpness-aware training.ICLR, 2022","venue":null,"work_id":"5084c993-606f-4b0b-8ac4-166fb2a9f1a0","year":2022},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:40.620694Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:4ec583ce5c4875e19e4408434673a2f985a24df68ac9ffc8d467efaec6a94781","observation_id":"837e0b85-4738-41d7-ac2e-6870ef1e8d84","resolution":{"observed_at":"2026-08-06T20:40:41.247402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:41.025734Z","title":"Underwater rgb- d camera based on binocular stereo vision.Acta Photonica Sin, 51:0404003, 2022","venue":null,"work_id":"4ed93983-082c-43c4-baca-4fd632fe263d","year":2022},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:40.714835Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:001dee60d38ecbadc26571dee6ca2cb8dda0c0775c21e4f750100f0c0f0b2b54","observation_id":"abdbe711-e60c-4c70-adff-a82d191ee010","resolution":{"observed_at":"2026-08-06T20:40:41.100164Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:40:44.314817Z","title":"1, 2, 3, 4, 5, 6, 8","venue":null,"work_id":"a67fc078-e27e-42a7-b080-9463eae9d042","year":null},"citing_paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T20:40:37.631337Z"},"links":{"citing_paper":"/paper/2507.02148"},"observation_digest":"sha256:4a4225d84bc24a545093011d3ecb846b86a65d723fe11faf05cb7955f84858d9","observation_id":"da7638e0-8e27-4a30-a3c5-52e1ad6e07a6","resolution":{"observed_at":"2026-08-06T20:40:44.488798Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.02148","last_updated":"2025-07-10T14:55:57Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T20:34:14.751824Z","submitted_at":"2025-07-02T21:06:39Z","title":"Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models"},"reference_resolution":{"displayed":81,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":18,"verified_exact":0,"verified_fuzzy":62},"total_outbound_references":81},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 0 inbound Pith citation observations for arXiv:2507.02148."}