{"as_of":"2026-08-10T11:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5d391459214f02dd344e71bbfdaeb9b0e33bd165215819264ac276ae70dd0ff7","coverage":[{"denominator":52,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":52,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T17:17:32.245045Z","state":"measured"},{"denominator":52,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":52,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2507.11333/citation-record","integrity":"/paper/2507.11333/integrity","json":"/paper/2507.11333/citation-record.json","paper":"/paper/2507.11333"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:17:38.350886Z","title":"Large-scale data for multiple-view stereopsis","venue":null,"work_id":"c344de91-bc93-4023-b979-ce49ce735278","year":2016},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:28.152189Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:4e69d55e435f9d127fda80a44504bc840461163222580c2e8c61096edef83f18","observation_id":"c4139bc9-0e69-4265-8aaf-baca73988b9a","resolution":{"observed_at":"2026-08-06T17:17:38.390553Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.02073","last_updated":"2025-04-21T12:09:08Z","snapshot_observed_at":"2026-08-02T06:32:26.688405Z","submitted_at":"2024-10-02T22:42:20Z","title":"Depth Pro: Sharp Monocular Metric Depth in Less Than a Second","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.02073","snapshot_observed_at":"2026-08-06T17:17:28.763048Z","title":"Depth pro: Sharp monocular metric depth in less than a second","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:28.763048Z"},"links":{"cited_paper":"/paper/2410.02073","citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:b62e62ea1b2a06bd26a12e613a22511d329363c4c63f6c8ad7d036c62ba6c753","observation_id":"d15fb55e-746c-4f43-b28d-d4444595194d","resolution":{"observed_at":"2026-08-06T17:17:28.763048Z","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":"2026-08-06T17:17:38.289628Z","title":"Mvsformer: Multi-view stereo by learning robust image features and temperature-based depth","venue":null,"work_id":"f79293a5-b8b7-45fa-8d85-f8c98dbf1142","year":2022},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:28.792351Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:ef1f6f851d597884a2305c2fbc7347877087ff5fb5cde96b8f05a09d10f319b6","observation_id":"1c3e58f2-ef25-482e-860d-96266ec81a1d","resolution":{"observed_at":"2026-08-06T17:17:38.314431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.11673","last_updated":"2024-01-22T03:22:49Z","snapshot_observed_at":"2026-08-07T18:43:41.236909Z","submitted_at":"2024-01-22T03:22:49Z","title":"MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.11673","snapshot_observed_at":"2026-08-06T17:17:28.822494Z","title":"Mvsformer++: Revealing the devil in transformer’s details for multi-view stereo","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:28.822494Z"},"links":{"cited_paper":"/paper/2401.11673","citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:353a2fb0bac988b5adf9f1db4a668cb213dc810c313cb410d0f83061fd54969b","observation_id":"f17fe654-93c0-4aa6-8026-86e6424b9173","resolution":{"observed_at":"2026-08-06T17:17:28.822494Z","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":"2026-08-06T17:17:38.177750Z","title":"Deep stereo using adap- tive thin volume representation with uncertainty awareness","venue":null,"work_id":"97ce331b-3166-4b44-ba1b-9615e5dc25cc","year":2020},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:28.856854Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:f944423057b6209481283cd0585fad971aee7b79e3a902a30fe4a5c2fed8e320","observation_id":"27ae1490-dd7b-4989-aa65-9f166ba27922","resolution":{"observed_at":"2026-08-06T17:17:38.217156Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:38.066785Z","title":"Twins: Revisiting the design of spatial attention in vision transformers","venue":null,"work_id":"f7c8709b-2bdc-4042-ba10-7c13e4c037a3","year":2021},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:28.884592Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:88a8046a2338f0c2ed2104105eaf8f1b9dee9eb885be19d5e5affee4a851b291","observation_id":"d9b5b3db-48a0-4bd8-9175-d69982224459","resolution":{"observed_at":"2026-08-06T17:17:38.092499Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:37.963712Z","title":"Deformable convolutional networks","venue":null,"work_id":"c3c65011-1596-46e0-a712-a89b36757d2f","year":2017},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:28.897037Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:82a14ccea01f5b51f14c74717486faf211c6ae91cbb4dfad0508e7f8c9ab217b","observation_id":"8b5499f1-8b50-4c86-9ac1-f7b01e789f28","resolution":{"observed_at":"2026-08-06T17:17:38.012919Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:37.859253Z","title":"Transmvs- net: Global context-aware multi-view stereo network with transformers","venue":null,"work_id":"16653271-de5e-4c37-a69b-6685173eed1d","year":2022},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:28.986000Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:8039b471885674a0e24e0995460315651fa6b661224f6c84019d8aeded431762","observation_id":"c31e7eb2-e47e-4de1-a4e7-c0cee7dc17b2","resolution":{"observed_at":"2026-08-06T17:17:37.905075Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:37.781342Z","title":"Massively parallel multiview stereopsis by surface normal diffusion","venue":null,"work_id":"b885dd27-cf18-4bbf-aa1b-e08e29fc9f4a","year":2015},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:29.069736Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:21a18e37c3ee116af9622227561980f33be21fa9f2e70adb49f6c718d4e897d7","observation_id":"e84e4600-8003-4f91-a89c-4241b532440b","resolution":{"observed_at":"2026-08-06T17:17:37.804332Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:37.690876Z","title":"Cascade cost volume for high-resolution multi-view stereo and stereo matching","venue":null,"work_id":"549985f7-3c78-4e30-8b45-688bf1029659","year":2020},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:29.141058Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:92a3113ea96f0e8405b5287926a9a5da19202f1c3a24a77e554a4505332b2f37","observation_id":"6ec202e9-08df-4ca5-8750-54f4c6e37780","resolution":{"observed_at":"2026-08-06T17:17:37.747125Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:37.553838Z","title":"Group-wise correlation stereo network","venue":null,"work_id":"f8584c46-461c-4916-b24d-86f858cebc15","year":2019},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:29.210137Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:c227a1dea02c67119002d17e9d1cbf38a4f29ed090e9be84768718a025b2da53","observation_id":"7096917f-9406-4626-a233-970f8dd86128","resolution":{"observed_at":"2026-08-06T17:17:37.616302Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:37.428854Z","title":"Squeeze-and-excitation net- works","venue":null,"work_id":"a9c06e2e-773d-4e28-b4c2-84112806cf84","year":2018},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:29.287373Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:0720eb1cde1c36b4684adf752c0e7b9025d341619240c5fc5a3c98b119c5d5de","observation_id":"b149861f-5e46-4e67-bd99-5409049ae74e","resolution":{"observed_at":"2026-08-06T17:17:37.504054Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:37.320824Z","title":"Di-mvs: Learning efficient multi-view stereo with depth- aware iterations","venue":null,"work_id":"38f1442c-ecc7-40da-b7f2-ba1c00d30560","year":2024},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:29.340336Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:7918b76b8795ab8cbb733c777f6897100a0955ea60033fc4fc50235d7e0a119a","observation_id":"9b4d8a1e-e59e-4712-bf1f-3287403f5af0","resolution":{"observed_at":"2026-08-06T17:17:37.359795Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:37.194889Z","title":"Rrt-mvs: Recurrent regular- ization transformer for multi-view stereo","venue":null,"work_id":"4b94d586-f91a-4162-868f-5c11de340286","year":2025},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:29.382390Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:aeb77645410d634697aad167b1c33dd6a1a2216366fb12922aa683fbe6c9e006","observation_id":"ea2d48f2-96de-4fc9-833d-077281a6a341","resolution":{"observed_at":"2026-08-06T17:17:37.251561Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:37.028269Z","title":"Parallel feature pyra- mid network for object detection","venue":null,"work_id":"9a73804f-4beb-4aa3-9e9d-16bf5cec6c85","year":2018},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:29.462981Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:bfab0da124bf2031866481bf99dc083c215f7f90081661f709e641d9c19f3fc6","observation_id":"2042e068-4d99-4107-9c20-8b9360d20a1f","resolution":{"observed_at":"2026-08-06T17:17:37.121372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-06T17:17:29.528770Z","title":"Adam: A method for stochastic optimization","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:29.528770Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:dbc2496ea47abb29f5e20b3190eafbf4b84145d23c0456d4e10e9473fe6b7f01","observation_id":"d59e0f59-b472-4938-9a37-2b103088e368","resolution":{"observed_at":"2026-08-06T17:17:29.528770Z","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":"2026-08-06T17:17:36.845077Z","title":"Tanks and temples: Benchmarking large-scale scene reconstruction","venue":null,"work_id":"c0095bf2-d2cc-4495-af65-49e008343e5f","year":2017},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:29.575081Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:7b1487614f1f2b4a00839059930cd379477751a87701f1276568e103f5989282","observation_id":"f06eb88c-4873-4997-84c1-d886140450a5","resolution":{"observed_at":"2026-08-06T17:17:36.917902Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:36.647850Z","title":"Learning deformable hypothesis sampling for ac- curate patchmatch multi-view stereo","venue":null,"work_id":"8f772c61-ee7e-429c-aeaf-fa2fc23a31a4","year":2024},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:29.684274Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:3a902a31db2a760f0aa4f25a098c5f428d8e23c90716aaf282c2bd37c2af6f22","observation_id":"3f8953db-a50f-4976-8ac2-0bb782c4af77","resolution":{"observed_at":"2026-08-06T17:17:36.755308Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:36.513762Z","title":"Wt-mvsnet: window-based transformers for multi-view stereo","venue":null,"work_id":"6add27a8-54a8-4073-a849-8ff6257d8b14","year":null},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:29.792027Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:817c9ac53f0885afce6af6bc41ab67e0eca1d549cdf01c009e3edee268c20554","observation_id":"75dd8244-0ce9-4d0f-8162-404cea980fa6","resolution":{"observed_at":"2026-08-06T17:17:36.578093Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:36.387484Z","title":"Protocar: Learning 3d vehicle prototypes from single-view and unconstrained driving scene images","venue":null,"work_id":"b98ebc49-a642-4901-a642-d222c2afd890","year":2025},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:29.941747Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:5ac14618cc2220bd172c84e660c9e859e3910092935ebff9d8cebb7bbbaf348d","observation_id":"76f6d468-5af4-43fe-88be-fd7b76266116","resolution":{"observed_at":"2026-08-06T17:17:36.467229Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:36.253163Z","title":"When epipolar constraint meets non-local oper- ators in multi-view stereo","venue":null,"work_id":"5ae34874-cd4f-4bd8-92f9-0d6d9cd83472","year":2023},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:30.038821Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:24f8f5295e55aa0f1838e15da492171c5a311a6284b6c319c840b8fe7b9463a6","observation_id":"0c017487-385e-4e59-a2ce-40464d82cd13","resolution":{"observed_at":"2026-08-06T17:17:36.333395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:36.134964Z","title":"Generalized binary search network for highly-efficient multi-view stereo","venue":null,"work_id":"f367bb8b-80b3-4cae-b734-32b4750730c5","year":2022},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:30.120930Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:5177467f7c23d84a670b7b1c1affea124fcc7cec510e4a53df325f3e318cd406","observation_id":"65b8af3e-b006-4868-a340-924b4cadf03f","resolution":{"observed_at":"2026-08-06T17:17:36.156577Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.07193","last_updated":"2024-02-02T10:24:09Z","snapshot_observed_at":"2026-08-09T18:02:17.307812Z","submitted_at":"2023-04-14T15:12:19Z","title":"DINOv2: Learning Robust Visual Features without Supervision","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.07193","snapshot_observed_at":"2026-08-06T17:17:30.196066Z","title":"Dinov2: Learning robust visual features without supervision","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:30.196066Z"},"links":{"cited_paper":"/paper/2304.07193","citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:96f2b99a02ab049247a1b6400c77066be9ac2a3852bdb24ce94137f37156a026","observation_id":"ab18630e-676e-4706-a655-529dbb7dee69","resolution":{"observed_at":"2026-08-06T17:17:30.196066Z","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":"2026-08-06T17:17:36.028646Z","title":"Pytorch: An im- perative style, high-performance deep learning library","venue":null,"work_id":"bca59b1b-88a3-4dc5-9973-55a29d49dba3","year":2019},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:30.316573Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:c518b5063da6616d21090a16813c04b5aa80547ccfd86d99c29c05b7f5da2c82","observation_id":"4db9ccf6-f2e1-4702-aa6f-57bfc8865860","resolution":{"observed_at":"2026-08-06T17:17:36.076023Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:35.818944Z","title":"Rethinking depth estimation for multi- view stereo: A unified representation","venue":null,"work_id":"d4b16c31-3cb0-4291-8e62-48f991ac200d","year":2022},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:30.426841Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:6a57ac6a9bb9dafa0b6b460fb7b929d376d3c49debdb6276300e1f4952e837bc","observation_id":"ace0fc28-2a04-4745-8974-6f42e8d89cc7","resolution":{"observed_at":"2026-08-06T17:17:35.905067Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:35.723996Z","title":"Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer","venue":null,"work_id":"75741854-c618-4e5e-8a4e-93440bfd1c55","year":2020},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:30.485521Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:43ddbba2648611e3fdc39301a2ad9028ed3550f37ac5affd942a8168bb0f29de","observation_id":"05d7d923-bdec-41d7-8c4c-b9268a9d7ef7","resolution":{"observed_at":"2026-08-06T17:17:35.765493Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:30.499868Z","title":"Vi- sion transformers for dense prediction","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:30.499868Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:c6a1de825c4eee98e5e13cf2fa1b6a0e8cce1f4144c23f16ceca9d14637da6ba","observation_id":"6701989b-9751-45f5-b794-aeddbb068798","resolution":{"observed_at":"2026-08-06T17:17:30.499868Z","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":"2026-08-06T17:17:35.538490Z","title":"Pixelwise view selection for unstructured multi-view stereo","venue":null,"work_id":"bdec4805-d4c5-4306-9919-72abd1c9f26e","year":2016},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:30.567715Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:88b8de8c5948ec31cee38e2fb9039fcfc80516a46d496de11ca47edec9a882b1","observation_id":"fc755e74-efb6-4ff8-b008-47638e53b7d5","resolution":{"observed_at":"2026-08-06T17:17:35.605059Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:30.631132Z","title":"Tiny and efficient model for the edge detec- tion generalization","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:30.631132Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:f6b3a13bd9f0ff40ffa4a2caaf21b65848702b339548c97a65c4349afddde9d1","observation_id":"21cc745d-3e81-4550-9452-e782095fabf1","resolution":{"observed_at":"2026-08-06T17:17:30.631132Z","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":"2026-08-06T17:17:30.666243Z","title":"Attention is all you need","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:30.666243Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:fd95f6e2a41421cc7dd8eac40331772dc4bd79079508b3bb8750bbf3b86d01f8","observation_id":"a3a3fc70-de6e-4f00-9ae5-63cf0571edd6","resolution":{"observed_at":"2026-08-06T17:17:30.666243Z","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":"2026-08-06T17:17:35.382828Z","title":"Is-mvsnet: importance sampling-based mvsnet","venue":null,"work_id":"1e87d650-d368-4559-8e47-02f630fa6a04","year":2022},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:30.726291Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:0f937cd2c29ecec452932be5d3d761cd3e02fbc5e30ecff5a2e5e5fec9fefea8","observation_id":"f9645ca4-dd05-41d1-9e23-46e24f45a03b","resolution":{"observed_at":"2026-08-06T17:17:35.441055Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:35.193757Z","title":"Mvster: Epipo- lar transformer for efficient multi-view stereo","venue":null,"work_id":"9939cb73-e8df-423d-a0cb-1d76ddae34e3","year":null},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:30.783728Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:be1b7c932876bff3fe7dcdeb543255739621a8ce2f4d229912cbe68bc1f8a951","observation_id":"8fca9d97-0e43-4b81-bd39-18d92157ca26","resolution":{"observed_at":"2026-08-06T17:17:35.283859Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:35.103132Z","title":"Aa-rmvsnet: Adaptive aggregation recurrent multi-view stereo network","venue":null,"work_id":"15adad04-6ea2-464d-8915-63de3805dc13","year":2021},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:30.815381Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:14d373b3d2159a0c8e9e3ec689102c048ad1588ee59fc2ff28f15c5c2bb9fec3","observation_id":"bc5b8dbb-59f9-49a8-ba76-7a265234633c","resolution":{"observed_at":"2026-08-06T17:17:35.146589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:34.951304Z","title":"Gomvs: Geometrically consistent cost aggregation for multi-view stereo","venue":null,"work_id":"94566d29-d244-4a20-b997-3f3bd5656f25","year":2024},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:30.843759Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:a17ae846a80790fc6d31dd8cf02b014be079a83b202a0b2b155180cf001d53e8","observation_id":"4b54a7c0-579d-4e9f-aa43-6c2d28dcbf39","resolution":{"observed_at":"2026-08-06T17:17:35.012134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:34.800660Z","title":"Planar prior assisted patch- match multi-view stereo","venue":null,"work_id":"3d4c5b8e-8288-4cf6-a1c4-bf2e7dabcd35","year":2020},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:30.907209Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:28c2447f606058bb4f93597ee0d1e80702e0f00f8d6bb339f45c5fd21fe3083b","observation_id":"5bbe2792-a323-4da3-8f9b-608082051c15","resolution":{"observed_at":"2026-08-06T17:17:34.842250Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:34.626168Z","title":"Learning inverse depth re- gression for multi-view stereo with correlation cost volume","venue":null,"work_id":"51a7ab37-0938-42cd-b075-9c53d7b94016","year":2020},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:30.920607Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:67d5b1f83c7de2e7dceb2c0329bf3bf899afc6683440afc7eb8cf2f937f913fe","observation_id":"39fb822c-0bd3-4012-86ad-1a2e1b1e390e","resolution":{"observed_at":"2026-08-06T17:17:34.695470Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:34.521920Z","title":"Multi-scale geometric consistency guided and planar prior assisted multi-view stereo","venue":null,"work_id":"777e4230-7a92-41ee-8be4-2362a949648e","year":null},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:30.990450Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:c7187fa2d55b0af517d1a2ab789877f2dc0ec66d7e39a215a20691e9f2770437","observation_id":"8765179e-9369-471c-b735-d93b52db53ec","resolution":{"observed_at":"2026-08-06T17:17:34.561017Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:34.390471Z","title":"Dense hybrid recurrent multi-view stereo net with dy- namic consistency checking","venue":null,"work_id":"52253792-f1c4-477e-9145-4a84e18c4df1","year":2020},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:31.057729Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:75757459e86dd44fd279d2815edae4e1a00f9b1acd2167f71bb162b5497e0d77","observation_id":"b1e3a4bd-7aab-49ac-a8f4-c5f6d31ab3ce","resolution":{"observed_at":"2026-08-06T17:17:34.445035Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:34.222568Z","title":"Cost volume pyramid based depth inference for multi-view stereo","venue":null,"work_id":"3f1dc57e-81bb-4488-8220-e7826de72a29","year":null},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:31.161135Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:2b701e02254b86854746d1f95e9836dc954d9e0f8465a9e9ff8711b8a19d2d33","observation_id":"8e153339-ffb7-406b-9fd3-71b54a9dcbc6","resolution":{"observed_at":"2026-08-06T17:17:34.316966Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:34.044575Z","title":"Depth anything: Unleashing the power of large-scale unlabeled data","venue":null,"work_id":"89d84743-28ac-412e-8e04-7625abca5bd9","year":2024},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:31.222192Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:539cb420e1477c55dbd5ea1fe43dcf0648f66df91548fed221cf06f1867747db","observation_id":"7fa8af9d-3023-4ccd-957a-12f1bf68fcee","resolution":{"observed_at":"2026-08-06T17:17:34.163174Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09414","last_updated":"2024-10-20T11:24:09Z","snapshot_observed_at":"2026-07-06T18:30:32.982860Z","submitted_at":"2024-06-13T17:59:56Z","title":"Depth Anything V2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.09414","snapshot_observed_at":"2026-08-06T17:17:31.333515Z","title":"Depth any- thing v2","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:31.333515Z"},"links":{"cited_paper":"/paper/2406.09414","citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:a0eb7d7bfb930f6c0c3cfae687bbd3f17759bcbf6fa11f9289ae81fc0e8d8a16","observation_id":"dd16ef2e-1a10-4939-a4ae-fead146a9c6d","resolution":{"observed_at":"2026-08-06T17:17:31.333515Z","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":"2026-08-06T17:17:33.916356Z","title":"Mvsnet: Depth inference for unstructured multi-view stereo","venue":null,"work_id":"8c33c370-459a-4067-9770-c230712c977d","year":2018},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:31.421938Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:3084e13d9d1b81bdde167ce62f284b9151e88f42abb0ec5f044a386d978f6a09","observation_id":"5f830dfd-28d4-4e43-9d8a-523a03ac4867","resolution":{"observed_at":"2026-08-06T17:17:33.952635Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:33.810309Z","title":"Recurrent mvsnet for high-resolution multi-view stereo depth inference","venue":null,"work_id":"d6e99941-c974-4a9c-aabc-ce79b37c6b9a","year":2019},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:31.507570Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:81a09fcf0eaae3ff57188150046a0542bd4783d9f865fda8c0daa691988a181e","observation_id":"2d569f9e-0510-472a-88e5-5dadae7f6d67","resolution":{"observed_at":"2026-08-06T17:17:33.864740Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:33.618508Z","title":"Blendedmvs: A large- scale dataset for generalized multi-view stereo networks","venue":null,"work_id":"f452712b-9a04-437b-b8c3-04e436234e6c","year":2020},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:31.590470Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:68cd3d6fdcdabbd72af3c5251e45750d08c7098f7e8ac2bb33f978a09a231200","observation_id":"265ba8d2-f358-43a3-9d35-3428c932f6a1","resolution":{"observed_at":"2026-08-06T17:17:33.699073Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:33.529618Z","title":"Constraining depth map geometry for multi-view stereo: A dual-depth approach with saddle- shaped depth cells","venue":null,"work_id":"518b5f29-3eb6-41f2-bcfc-456ae115dfce","year":null},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:31.693408Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:6a4b5240a72394316d5c70615f02b30207dcb9583c6c86a5a7a799e4b918de9f","observation_id":"b13250c3-03b7-4e35-bcf7-b563523aac86","resolution":{"observed_at":"2026-08-06T17:17:33.575484Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:33.400987Z","title":"Get3dgs: Generate 3d gaussians based on points deformation fields","venue":null,"work_id":"b3487454-d575-47cd-a90a-cce772a11bd9","year":2024},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:31.743757Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:53b5e617caf0e80cf8fc55ca4af87def48c69983a5b1d1fca605bf83984db1ba","observation_id":"aa8fd165-bba6-4dd8-9d57-faee2fa0fd79","resolution":{"observed_at":"2026-08-06T17:17:33.453969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:33.195176Z","title":"Msp-mvs: Multi- granularity segmentation prior guided multi-view stereo","venue":null,"work_id":"c4217dd9-322e-4922-8753-273ae8f3f97a","year":2025},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:31.820887Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:68390c4c84d94a639c122722d5b5500fce2932126313251c859ced7416392351","observation_id":"80d48bd0-aa67-406e-8ea0-13f40544078c","resolution":{"observed_at":"2026-08-06T17:17:33.268227Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:33.064084Z","title":"Dvp-mvs: Synergize 10 depth-edge and visibility prior for multi-view stereo","venue":null,"work_id":"fcc5716e-a563-4e63-9deb-9b4518c3b94d","year":2025},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:31.919882Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:cc0ab40270bb8c6b0c0e3b91460690287f9c0822d2e0b07d5363a2be0b0be083","observation_id":"e3406e6c-b3cd-48b1-a09d-0a1c90c804ee","resolution":{"observed_at":"2026-08-06T17:17:33.123945Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:32.918430Z","title":"Sed-mvs: Segmentation-driven and edge- aligned deformation multi-view stereo with depth restoration and occlusion constraint","venue":null,"work_id":"56c33a80-8e4a-4787-95dc-5e4b17e8790c","year":2025},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:32.011097Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:cd587fef918edc434d4e279c112440401bcef33a53227ba55a2d742054a62468","observation_id":"1a2b918b-8d29-4058-b78d-6201bb7a7d70","resolution":{"observed_at":"2026-08-06T17:17:32.991852Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:32.777443Z","title":"Multi-view stereo representation revist: Region-aware mvsnet","venue":null,"work_id":"57f9d545-aa1d-441a-af75-33253bf844ed","year":2023},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:32.089890Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:00512686f7651a96bc1dc5d3dbccf8613a46d962508eefde613d2a49f4a13d66","observation_id":"e13ab05e-a860-45eb-a591-8319bcacbce2","resolution":{"observed_at":"2026-08-06T17:17:32.813115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:32.647088Z","title":"Ge- omvsnet: Learning multi-view stereo with geometry percep- tion","venue":null,"work_id":"3ec3faf4-28f8-423d-8da2-f8b0ad27a8fa","year":null},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:32.170058Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:04a4d5da801d874e515a43e73dec09da3ed3109eca91f233a8e828d9320276b0","observation_id":"a81891e3-d1f1-44db-bc05-b4cd94728b57","resolution":{"observed_at":"2026-08-06T17:17:32.725965Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T17:17:32.484270Z","title":"Sam2object: Consolidating view consistency via sam2 for zero-shot 3d instance segmentation","venue":null,"work_id":"1527c1d2-bf4b-44cf-87c6-6946f70d27c4","year":2025},"citing_paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T17:17:32.245045Z"},"links":{"citing_paper":"/paper/2507.11333"},"observation_digest":"sha256:97ac2b87694c815a9e24738bf805889146b48b51778921390c532dcebd2ed9b9","observation_id":"39a78809-1030-4812-8574-bb101ec3cf82","resolution":{"observed_at":"2026-08-06T17:17:32.568714Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.11333","last_updated":"2025-07-15T14:05:22Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T18:37:30.395087Z","submitted_at":"2025-07-15T14:05:22Z","title":"MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network"},"reference_resolution":{"displayed":52,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":8,"verified_exact":0,"verified_fuzzy":44},"total_outbound_references":52},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2507.11333."}