{"as_of":"2026-08-21T14:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:77b38a56be4cf47771b1771f5d5461be48ca60cb2d0d6d73d580f217ad55429e","coverage":[{"denominator":70,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":70,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T20:28:43.848961Z","state":"measured"},{"denominator":70,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":70,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+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/2412.05771/citation-record","integrity":"/paper/2412.05771/integrity","json":"/paper/2412.05771/citation-record.json","paper":"/paper/2412.05771"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:28:46.440331Z","title":"SceneScript: Reconstructing scenes with an autoregr es- sive structured language model","venue":null,"work_id":"11424659-1aaa-4bcd-ab0e-7a6c97f65fd6","year":2024},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:40.752322Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:7c5bb8131e26e3009212cfdfc2ffe1999a1c72ddd2c72e9be0edde03e7c77892","observation_id":"9901f1b0-bdea-49b4-bba1-0593688e55f1","resolution":{"observed_at":"2026-08-11T20:28:46.445038Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:46.424005Z","title":"ARK- itscenes - a diverse real-world dataset for 3D indoor scene understanding using mobile RGB-D data","venue":null,"work_id":"8ec89d26-1fec-4514-bb5f-04937e3880b5","year":2021},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:41.008764Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:6467c78fb8f6050754fa3b6a27f5d340c46e809b6f7ac6b2abfb8f0e8056a47e","observation_id":"862a1db7-facf-4e5f-8874-a3d4cf4e117a","resolution":{"observed_at":"2026-08-11T20:28:46.428589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:46.411243Z","title":"Richter, and Vladlen Koltun","venue":null,"work_id":"3e51dd9f-c011-4b85-8176-5ce0b38b29d4","year":2024},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:41.275977Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:a672197df59fae45bc472227f0210b5a964aeeed8f2bd0beca13fd030209ade4","observation_id":"3df32ef5-ec16-4905-b3a8-6e80e6cac19b","resolution":{"observed_at":"2026-08-11T20:28:46.415885Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:46.389180Z","title":"Vir- tual kitti 2","venue":null,"work_id":"9a0f03ff-66e4-42d4-bd5f-70c897e8675f","year":2020},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:41.371991Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:49dc323f893a00c30196fc72508e36dd2fe75e2371f646ec858aaab18dfc1444","observation_id":"cc110d80-2e47-4d1c-982e-5a315ebd59ac","resolution":{"observed_at":"2026-08-11T20:28:46.397472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:46.372136Z","title":"MVSFormer: Multi-view stereo by learning robust image features and temperature-based depth","venue":null,"work_id":"f6146c48-c9d5-49ce-83a2-f58fb8aca907","year":2022},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:41.463359Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:02a571e45c7214d6beb53df07ab370f36cb2dd4dc70413bde8850cd7c563078d","observation_id":"867c42c1-c954-43b7-a859-1aab60967a5c","resolution":{"observed_at":"2026-08-11T20:28:46.377412Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:46.354557Z","title":"RC- MVSNet: Unsupervised multi-view stereo with neural ren- dering","venue":null,"work_id":"20fc5ec1-b19a-480e-9697-67b158ac985c","year":2022},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:41.532386Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:5bfc839a9ed08e852561ee1b36518cf8c18b00afd1503b49f754e89978ac8e15","observation_id":"961f6855-72fa-4629-9f26-6ace1b05a497","resolution":{"observed_at":"2026-08-11T20:28:46.360098Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:46.334313Z","title":"VCR-GauS: View consistent depth-normal regularizer for gaussian surface reconstruction","venue":null,"work_id":"1f36e803-9faa-4f4b-bdea-e74ac1acfb38","year":2024},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:41.608303Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:885e3953a3ec6ba47d3d0219c2caab80ddefd10cdaab2f871717c18b392186c8","observation_id":"45379a59-a359-4fbe-8469-19270fa5b708","resolution":{"observed_at":"2026-08-11T20:28:46.340255Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:46.319981Z","title":"Depth-regularized optimization for 3D gaussian splatting in few-shot images","venue":null,"work_id":"a72ec5c5-7881-4c76-b56b-093fee3913d4","year":2024},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:41.891741Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:408d08bdfe89458dc10ecefa9c3963b528106d08c6ca92e1283948af7d3db6e9","observation_id":"ca8f0bba-49b1-4ff0-bcf1-579555035a0c","resolution":{"observed_at":"2026-08-11T20:28:46.325237Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:46.303926Z","title":"Chang, Manolis Savva, Maciej Hal- ber, Thomas Funkhouser, and Matthias Nießner","venue":null,"work_id":"e6f8b28e-bfeb-48b8-87d1-0a2d90733282","year":2017},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:42.257631Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:2a7b0da053838a8426d0d23a2f04dac8fed879230f409c6359c37b14a8502fe0","observation_id":"ba9ac4c6-883a-4740-9f34-9703274cb2d5","resolution":{"observed_at":"2026-08-11T20:28:46.309242Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:46.289619Z","title":"MVS2: Deep unsupervised multi-view stereo with multi-view sym- metry","venue":null,"work_id":"bc8f6847-c674-4a99-906b-97f0179ed007","year":2019},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:42.450565Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:c16e752a400091bfca927cbe723ed260673cf818fdd836b2ca44278e7405daea","observation_id":"97b9dde0-61f9-4e03-9280-41b3c4f06a15","resolution":{"observed_at":"2026-08-11T20:28:46.294405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:46.271267Z","title":"TransMVS- Net: Global context-aware multi-view stereo network with transformers","venue":null,"work_id":"88b56310-8256-4277-8595-f4ade34efee2","year":2022},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:42.653236Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:5af26ca271a6165229a9cc74ebfb1a0b79ed4466f5133a5c98e11761cbadd3c5","observation_id":"86ec2aab-b1a7-4bf3-abd9-d4c34ecac997","resolution":{"observed_at":"2026-08-11T20:28:46.276300Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:46.256518Z","title":"KD-MVS: Knowledge dis- tillation based self-supervised learning for multi-view stereo","venue":null,"work_id":"0a598bdb-397b-461b-8758-9be652f98702","year":2022},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:42.734386Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:ed91c34be18e3a24221f2fd4277fcdb75c14cd3811cde4296810618364330688","observation_id":"f0c0cf78-e120-4c74-9360-ee22acdd27e4","resolution":{"observed_at":"2026-08-11T20:28:46.262738Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:46.235515Z","title":"Deep- VideoMVS: Multi-view stereo on video with recurrent spatio-temporal fusion","venue":null,"work_id":"8f23ebe3-d429-4563-a3b3-b8a81c6c47b5","year":2021},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:42.789161Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:a74cdb571a8b4a87a0a7eaa0915e30bea76fdf5302739309ec33e934e9a02edd","observation_id":"0495116c-db96-48ad-b713-1796668dc5c9","resolution":{"observed_at":"2026-08-11T20:28:46.241589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:46.219910Z","title":"Omnidata: A scalable pipeline for making multi- task mid-level vision datasets from 3d scans","venue":null,"work_id":"4f58a3e9-e266-460d-9297-f1fb21054878","year":2021},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:42.792960Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:3e1da1716b88a43bc0da20d5396800d625f75c811c2bb518d6ce43dade431570","observation_id":"14110721-f149-45c3-8126-ccb1f7df8368","resolution":{"observed_at":"2026-08-11T20:28:46.224464Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:46.206396Z","title":"Massively parallel multiview stereopsis by surface normal diffusion","venue":null,"work_id":"30fc8030-0f76-47a6-ad29-20bb66b302d8","year":2015},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:42.799937Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:41304233467324296c41261a4f693e7eb9d9b5296bb1b5ab42c3f94b3d111cc1","observation_id":"072d50b0-b61c-4f72-a818-99ba6c9ef79d","resolution":{"observed_at":"2026-08-11T20:28:46.211362Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:46.185573Z","title":"Cascade cost volume for high-resolution multi-view stereo and stereo matching","venue":null,"work_id":"959e7b38-983a-4013-a04d-cb2a473a4b86","year":2020},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:42.805275Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:df3c7b9c590ec3a306970376d23452347b2d4ab65d4b9e1f1795321f7bdc4582","observation_id":"df034eac-1d56-4467-be94-32270c7efa46","resolution":{"observed_at":"2026-08-11T20:28:46.194149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:46.168659Z","title":"Lotus: Diffusion-based visual foundation model for high-quality dense prediction","venue":null,"work_id":"0ef0993b-bc7f-42ae-84da-4aef7df4b220","year":2024},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:42.809052Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:8a3ed7cf8553c8fb4040c2aad9de2b86d1469b364a8779fb2e575cd68c19496f","observation_id":"f5992a8f-a5af-40b6-b4ca-8e6a1c9214ad","resolution":{"observed_at":"2026-08-11T20:28:46.174052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:46.153218Z","title":"Multi-view stereo by temporal nonparametric fusion","venue":null,"work_id":"2a3855fe-61f0-478e-a6f8-ee5b702cd42c","year":2019},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:42.813727Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:f9323e9ab74c0dcfe442baec9f5a1e989a21643e862033fd9c29b644d6c2d02c","observation_id":"3e3e121d-a6d0-4ae0-87c2-541bee29859e","resolution":{"observed_at":"2026-08-11T20:28:46.158453Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:46.139179Z","title":"ConsistentNeRF: Enhancing neural radiance fields with 3D consistency for sparse view synthesis","venue":null,"work_id":"5367cd04-6f8b-4d69-8401-cb66629877ff","year":2023},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:42.818116Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:9e64983473a66af2147ae48c37b066c01261813a5952cf130f0a75ff1b2501f7","observation_id":"27a2ca3f-b1d1-4f66-8492-df415f15f413","resolution":{"observed_at":"2026-08-11T20:28:46.143839Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:46.050323Z","title":"M3VSNet: Unsupervised multi-metric multi-view stereo network","venue":null,"work_id":"ff6bee47-3dc5-4762-911b-f22af23d1205","year":2021},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:42.822301Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:8071b769c231fdc35946c7bbf29fa9b8513bcad0af7da282317ae9105683d4c6","observation_id":"a683f9f1-ea72-4b97-a089-1cc54a61b150","resolution":{"observed_at":"2026-08-11T20:28:46.129334Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:46.008260Z","title":"DPSNet: End-to-end deep plane sweep stereo","venue":null,"work_id":"73a1c18f-edc5-4d1e-9224-9db1e0a85f9a","year":2019},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:42.930926Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:97d87cb60c01343121b22e295e4f913047dbcc2873fe6d82e91f59ec13a88c73","observation_id":"f3fba70c-3f94-4313-9818-a6d35871ea7f","resolution":{"observed_at":"2026-08-11T20:28:46.012945Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:45.994061Z","title":"Large scale multi-view stereopsis evalu- ation","venue":null,"work_id":"2300ce17-7e11-4d43-bc96-948db7c53ad8","year":2014},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:42.957490Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:48d0a9cf5df24d045f532763e3b006f2e1ff10fa60aab78c87f3306ed5bd5bdb","observation_id":"0691e674-d57b-4ad2-950e-5da60e5c53f0","resolution":{"observed_at":"2026-08-11T20:28:45.999307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:45.980913Z","title":"Repurpos- ing diffusion-based image generators for monocular depth estimation","venue":null,"work_id":"6e06ae7e-314d-4733-b1d8-3df1a43dabc8","year":2024},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:42.961952Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:cf5aae1ad5789ff3ce3ef7e197db59fa2b6635e2e0e896e7de291c1b5e76fb77","observation_id":"6f9495ab-a386-4021-a9a0-bb261f81e11f","resolution":{"observed_at":"2026-08-11T20:28:45.985749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:45.966634Z","title":"Chang, and Manolis Savva","venue":null,"work_id":"82504601-ea26-457f-9150-625d29797ca4","year":2024},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:42.965839Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:bace053f905dc442487202d05fa09c4d4a40c7a4b0e95f653addd1ad61eac765","observation_id":"0240d77c-06f1-47ce-bfd1-11e4be30d5f0","resolution":{"observed_at":"2026-08-11T20:28:45.971353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.02706","last_updated":"2019-06-06T17:30:47Z","snapshot_observed_at":"2026-08-14T16:35:56.249455Z","submitted_at":"2019-05-07T17:45:22Z","title":"Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.02706","snapshot_observed_at":"2026-08-11T20:28:42.969627Z","title":"Learning unsupervised multi-view stereopsis via robust 9 photometric consistency","venue":null,"work_id":null,"year":1905},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:42.969627Z"},"links":{"cited_paper":"/paper/1905.02706","citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:756f4c0e806873d3c560d854bc82cf0eb2b4af333609cf53b55f4f418157cca0","observation_id":"348d4083-db64-460c-bac5-7f3528360501","resolution":{"observed_at":"2026-08-11T20:28:42.969627Z","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":"2026-08-11T20:28:45.953396Z","title":"Just a few points are all you need for multi-view stereo: A novel semi-supervised learning metho d for multi-view stereo","venue":null,"work_id":"67a26edd-bb50-499d-b1e8-2668d4be0483","year":2021},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:42.974056Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:74c34459b170ff62d9fab4dfc12267c9d4f6fe98740ca823d0916d659c418775","observation_id":"9f46f0fd-2fac-4193-819f-52d206776d5e","resolution":{"observed_at":"2026-08-11T20:28:45.957581Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:45.940593Z","title":"Kingma and Jimmy Ba","venue":null,"work_id":"5de82a26-e136-4f55-b3c2-9ebb031e35b4","year":2015},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:42.978114Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:8d54cd4070b42e647bd5c12e68b32607716947de4b6d59605b429b29595c34ed","observation_id":"e905f885-e3bf-4143-b335-00a5e7890fe5","resolution":{"observed_at":"2026-08-11T20:28:45.944545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:45.928399Z","title":"DS-MVSNet: Unsupervised multi-view stereo via depth synthesis","venue":null,"work_id":"4b56ebc3-c665-49d3-80eb-4f55a834c993","year":2022},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:42.981998Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:dd7aeea576387a9f4bbb1f3db4d8a5463e1291bd0c88fb81cd8917f82870396b","observation_id":"c1330043-63e8-4eed-ae9c-e25e50f0567f","resolution":{"observed_at":"2026-08-11T20:28:45.932588Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:45.916217Z","title":"MegaDepth: Learning singl e- view depth prediction from internet photos","venue":null,"work_id":"2f937ae1-4841-47a4-bd5c-480331f70df8","year":2018},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.043404Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:237ee1fc28d5cbfe9bc14a6efe3a57a87b5b8a82bcbc43043a0ff8a29345acb8","observation_id":"e94c5255-0185-4994-aa9d-1387c8a2f196","resolution":{"observed_at":"2026-08-11T20:28:45.920665Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:45.900124Z","title":"WT-MVSNet: Window-based transformers for multi-view stereo","venue":null,"work_id":"54ccc884-6d1f-4be9-8b6f-6807832b2bc1","year":2022},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.120432Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:c179ab63efc96074d8526ace6abe81053a62983650035684d6b32099285c80be","observation_id":"d1fccadd-8885-4c41-8777-c6dbb6a93089","resolution":{"observed_at":"2026-08-11T20:28:45.905623Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:45.847915Z","title":"P-MVSNet: Learning patch-wise matching confidence aggregation for multi-view stereo","venue":null,"work_id":"5a5e1a49-f249-4067-9e29-c5f8382dc8f1","year":2019},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.178186Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:e6511af89a39992dbc2eadc6d2b343d3654e38d1420379314c1e4778bdde9c96","observation_id":"e2ab2d76-ce63-420b-a15b-1039665b4037","resolution":{"observed_at":"2026-08-11T20:28:45.856395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:45.689200Z","title":"Generalized binary search network for highly-efficient multi-view stereo","venue":null,"work_id":"f29b48cb-f2d5-4d43-bc2b-a25855753a2c","year":2022},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.183310Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:492040a79393e04275041a0fb12adc0a6ebf895882000d1b3e7841ecd04303c3","observation_id":"7b2b5a0f-3d76-4024-8789-4ebc4cb4f0b6","resolution":{"observed_at":"2026-08-11T20:28:45.771038Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:45.673727Z","title":"Atlas: End- to-end 3D scene reconstruction from posed images","venue":null,"work_id":"f9765738-7bc9-4aab-9a77-32b7560654ab","year":2020},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.189497Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:f958ecdd65efd61e2e37332c1480b93071dc85d821e727182e5bb81b523cbc15","observation_id":"7fe9d203-1e1a-47fc-9bb1-ff66c9c2ca35","resolution":{"observed_at":"2026-08-11T20:28:45.679983Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:45.659735Z","title":"PyTorch: An imperative style, high-performance deep learning library","venue":null,"work_id":"e6d270a6-c1a1-4bd6-b1c4-0f738b565c79","year":2019},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.307639Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:6f4458ae5992f96542cd03cc6d1f9e6cc192934f4d8f378adf49c8a27d264a44","observation_id":"9ad737d2-d69d-47e2-a1f9-5fb7e8491c54","resolution":{"observed_at":"2026-08-11T20:28:45.664363Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:45.646234Z","title":"Self- supervised multi-view stereo via inter and intra network pseudo depth","venue":null,"work_id":"6e201ce9-0f5e-4f27-9f96-ea66cf441dd2","year":2022},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.405599Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:e9eeefe611502ac7ba38e33f1b5b9d09a3e634893b30011cbf59d58616660e02","observation_id":"8e3e34bf-5254-40d8-8f0e-a7cb28362911","resolution":{"observed_at":"2026-08-11T20:28:45.650465Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:45.632409Z","title":"Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer","venue":null,"work_id":"7780de66-738c-4145-8cae-113c145ccbef","year":2022},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.411637Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:40ea56f937e108ef05f7081f9a1dcaaf74478a955c30f048a43c8d61a11d7c1b","observation_id":"284490e4-e609-4ec3-8f7c-d4f1b6888696","resolution":{"observed_at":"2026-08-11T20:28:45.636805Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:45.619215Z","title":"3DVNet: Multi-view depth prediction and volu- metric refinement","venue":null,"work_id":"8c65c6f4-6017-4ba3-806a-1a817e3de419","year":2021},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.416603Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:00c2c5ea2d176f0a566c0391e04200d0ea678030d7206f6cc70d92f5ec825650","observation_id":"eb3d5f4c-903f-4c39-ad14-0a4bff0df20e","resolution":{"observed_at":"2026-08-11T20:28:45.623482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:45.606234Z","title":"Smoothness, synthesis, and sampling: Re-thinking unsuper - vised multi-view stereo with DIV loss","venue":null,"work_id":"3e9dc994-54bc-479e-8dcb-1f36707a4b4f","year":2024},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.420982Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:9dd98e185289fd4409540f719df648105f54c9a7b3e28a8a41650092e9b6bb62","observation_id":"845976ae-25cc-43bb-9b9f-54c1340f5a29","resolution":{"observed_at":"2026-08-11T20:28:45.611265Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:45.592110Z","title":"Susskind","venue":null,"work_id":"d9502401-65c5-4e00-b3cd-b7e6c6fc387e","year":2021},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.424843Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:c871546ae13ddafacda20387b3f302bf85ad1543162b4e265eff0598d0a45907","observation_id":"1a32f62c-aaf5-4e13-b2cf-c50b5d20388e","resolution":{"observed_at":"2026-08-11T20:28:45.597175Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:45.578218Z","title":"Barron, Ben Mildenhall, Pratul P","venue":null,"work_id":"ee665057-a48c-44d7-b811-6adcae7b5104","year":2022},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.429547Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:0c0b663d2878c8aba1002ca6b2810cfb1fb8c425cba4118159566a1f9770d057","observation_id":"0fa2bb43-c238-49d2-9934-0502ea4581d2","resolution":{"observed_at":"2026-08-11T20:28:45.582468Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:45.538421Z","title":"High-resolution image syn- thesis with latent diffusion models","venue":null,"work_id":"5071c363-e350-4942-ba11-78e6e7e6226d","year":2022},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.434845Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:697e1f02e3e6619b42e8c20fa81c1f4d4a23242bc478f037ffe40d8cbc27e04d","observation_id":"d3de6a9e-a240-4480-870d-d64538a61fe7","resolution":{"observed_at":"2026-08-11T20:28:45.568196Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:45.384208Z","title":"Sim- pleRecon: 3D reconstruction without 3D convolutions","venue":null,"work_id":"9f97f0b1-8365-48d2-b153-49b02008115b","year":2022},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.452298Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:00852d2180e96e764ece61cdca9c8dec449fd152d5601e70c7e7859b0dec49d1","observation_id":"e26aed4a-1000-4003-ba00-a2667b5899ab","resolution":{"observed_at":"2026-08-11T20:28:45.468784Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:45.292762Z","title":"Pixelwise view selection for un- structured multi-view stereo","venue":null,"work_id":"6ca1f441-da80-48b6-9959-687a079d0473","year":2016},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.541581Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:419270ea5efc231d4170fc1c2ae8be159e0a8120c1bc12dabc9fda1b3f119a60","observation_id":"d6e4433a-fd18-4e9a-8462-2d039dff5094","resolution":{"observed_at":"2026-08-11T20:28:45.321344Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:45.277602Z","title":"V ery deep convo- lutional networks for large-scale image recognition","venue":null,"work_id":"0f41eb9a-9690-43ac-be3d-9e2c70363311","year":2015},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.577251Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:61f475881018f9335cb6aaa583baf31ca30bb87f5d64d310bf2bf7b3b41abea1","observation_id":"bba4f180-cc99-4150-b431-02cb15db46ae","resolution":{"observed_at":"2026-08-11T20:28:45.282733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:45.263623Z","title":"Efficien t large scale multi-view stereo for ultra high resolution ima ge sets","venue":null,"work_id":"191852b9-c7ec-4119-abbf-d5b4e3d0e0a7","year":2011},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.581347Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:be5d883663d57b7c637caaa457792fbf10d94c53d51a0aaa598cc4f0b6ad420f","observation_id":"302044f5-3ac4-40e9-a38a-e62112e25052","resolution":{"observed_at":"2026-08-11T20:28:45.268685Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:45.246257Z","title":"SparseNeRF: Distilling depth ranking for few-shot novel view synthesis","venue":null,"work_id":"60a8a8b4-5b9b-4013-b64f-cbb1c532ddb8","year":2023},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.586248Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:cf6e29450d21444532c18302babb0eb77957c19457aaa89febf91200bbc6e442","observation_id":"95d1d6fe-0b73-4dbb-ac9a-87cae1ad6774","resolution":{"observed_at":"2026-08-11T20:28:45.252163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:45.231120Z","title":"NeuRIS: Neural reconstruction of indoor scenes using nor- mal priors","venue":null,"work_id":"589c10b3-ab14-461f-b0a7-7dd25f76b580","year":2022},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.590171Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:e48c618bf9e6dfc03c31b91ef1fe4b093f5f44ff785c62fa45f3687ffacaae2a","observation_id":"1d6b5bd8-11f5-4450-8789-2e1b8489e9d3","resolution":{"observed_at":"2026-08-11T20:28:45.235625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:45.194320Z","title":null,"venue":null,"work_id":"fc3a5624-3dab-49f3-9cf7-142cafed9d8a","year":2002},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.594407Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:4318f68f001dbda867c866d41a28509d658587a70f4db6ca9b875e0a67c21842","observation_id":"6b0314cb-fa3b-4171-9ce5-d28940d21d87","resolution":{"observed_at":"2026-08-11T20:28:45.221320Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:45.049560Z","title":"Multi- scale structural similarity for image quality assessment","venue":null,"work_id":"95120121-770b-47c2-aa78-518d1922c48b","year":null},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.598412Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:6e811b348ee92286baafbe8ba8c743ed488febfa93f4a93c72b7e865853e84da","observation_id":"53b69c62-1a56-49ff-ae38-45b8120dab33","resolution":{"observed_at":"2026-08-11T20:28:45.096480Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:45.031399Z","title":"Bovik, H.R","venue":null,"work_id":"7c1750e6-eddd-4abc-acd2-e6e2fab04f7c","year":2004},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.602935Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:f4337cb734c9982299869aa6e1b5c589206ddc1707420cffc098aab0079bb7b8","observation_id":"27e41223-27c7-45bb-ac68-4da6fdcea74b","resolution":{"observed_at":"2026-08-11T20:28:45.036935Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:45.012554Z","title":"Toward practical monocular indoor depth estimation","venue":null,"work_id":"6ee99697-fec4-4372-97d5-dc5ce8a69c49","year":2022},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.607308Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:6673be6aec15ad52fa9b19d2ab4c4cefd477e1c21e50b03c6098b97fc1a099a8","observation_id":"74a9e53a-bb41-4b53-8b13-9745498657d9","resolution":{"observed_at":"2026-08-11T20:28:45.019817Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:44.971832Z","title":"RayMVSNet: Learning ray-based 1D implicit fields for ac- curate multi-view stereo","venue":null,"work_id":"0652e402-8c9e-41e8-8944-f8a0ab976841","year":2022},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.624364Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:ffc7029961fa57d5bcaf5be55115dcb5c3e31fd0b89a79dbf43d36eae1c77daa","observation_id":"cb1765ed-704a-42b1-b818-52a3f9ca6e2c","resolution":{"observed_at":"2026-08-11T20:28:44.999579Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:44.794238Z","title":"DebSDF: Delving into the details and bias of neural indoor scene reconstruction","venue":null,"work_id":"95d9c65a-c1ad-463d-ac22-2122c383f714","year":2024},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.643839Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:3bd6ab80a771edb9527299ec158b55f3394d496630975e2c5a19dfe9550ed5ce","observation_id":"1dabed58-ceed-4843-9cec-76d367434f13","resolution":{"observed_at":"2026-08-11T20:28:44.871284Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:44.779611Z","title":"CL-MVSNet: Unsupervised multi-view stereo with dual-level contrasti ve learning","venue":null,"work_id":"db17b990-4d2b-46a7-a5c2-2f3d4a1513cc","year":2023},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.652167Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:8cb462112e24a02384b1189dcf28ec672e6d5cb0650dbf7b80e38c71de8dcabd","observation_id":"c2a0f3d0-1bd7-4ae3-8434-b6f8f36523ae","resolution":{"observed_at":"2026-08-11T20:28:44.784889Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:44.756943Z","title":"Self-supervised multi-view stereo via effectiv e co-segmentation and data-augmentation","venue":null,"work_id":"81a62cb8-d617-45d0-8894-9ac8630d240c","year":2021},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.656715Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:1948954fc22524c2198880e5391d6c7b25b738902e83a045f18fa992c2e053b9","observation_id":"f29d73dc-810e-47b5-93b1-cc51f9973e2a","resolution":{"observed_at":"2026-08-11T20:28:44.770984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:44.616696Z","title":"Digging into uncertainty in self-supervised multi-view stereo","venue":null,"work_id":"3532723c-6a2e-4ae4-8db1-d907cd5c6747","year":2021},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.661826Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:990c116ff801cab6a8702b5262e5ae9b02dcce54b82e3f1ac8998b3187e9cea5","observation_id":"1b22c97c-6081-48e3-a4dd-85844a719fbd","resolution":{"observed_at":"2026-08-11T20:28:44.688566Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:44.491658Z","title":"Semi-supervised deep multi-view stereo","venue":null,"work_id":"1e50bbe3-ff49-4d47-b29b-ecefa6c4797c","year":2023},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.669163Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:a33874f9f34f602d6067798914f2629a9ec30e3cc0b0a9fc26ae4883610d4eb9","observation_id":"f7d892f2-59ce-4673-a8f5-cdce0f27f978","resolution":{"observed_at":"2026-08-11T20:28:44.547010Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:44.479642Z","title":"Learning inverse depth re- gression for multi-view stereo with correlation cost volum e","venue":null,"work_id":"d0c771a4-f96b-497c-9f08-065f767fcc26","year":2019},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.673413Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:ed11bcfcdbc19cf85b37fa8fe1f0fee996a79b77b0976e74081f3c41a5fe8052","observation_id":"d570eb3c-a10d-4ee6-be1d-8e512c715ceb","resolution":{"observed_at":"2026-08-11T20:28:44.483732Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:44.468276Z","title":"Alvarez, and Miaomiao Liu","venue":null,"work_id":"6786a9e3-43d8-4848-92c1-6f1dd316d30b","year":2020},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.678800Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:36f86d75e0a23701cb95a9913683552e188c42d17f17843ba4b9d1f4d2613d7c","observation_id":"935eb7fd-6ace-4ef6-86ec-f6f1aaa59e08","resolution":{"observed_at":"2026-08-11T20:28:44.471964Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:44.455802Z","title":"Alvarez, and Miaomiao Liu","venue":null,"work_id":"85a856a4-f1b9-4bf9-8f67-64c8d86e509f","year":null},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.745538Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:3d40d82ea74474076ee2daf6979a5b7f35eca46653cc0009765a91b31a7dd702","observation_id":"a260a773-23d5-47cb-8028-be6d57d1ec2b","resolution":{"observed_at":"2026-08-11T20:28:44.460164Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:44.442889Z","title":"Depth anything: Unleashing the power of large-scale unlabeled data","venue":null,"work_id":"e611fef0-7e9b-4acb-ade1-e15ea188d097","year":2024},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.775527Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:d192f67135d964c4fbbbff4e907ec2474eba3a946c7dec4dbb4de113aa4c69c2","observation_id":"4c3283c8-96c2-4e9c-b7d5-4c1e3865f814","resolution":{"observed_at":"2026-08-11T20:28:44.448380Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:43.780736Z","title":"Depth any- thing v2","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.780736Z"},"links":{"cited_paper":"/paper/2406.09414","citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:77ff6b8890120987aff44111511e31a2519bcc6d9a10282097a7f320d1afaa1e","observation_id":"dde353fe-52d1-40a5-a3f0-91fb6518935e","resolution":{"observed_at":"2026-08-11T20:28:43.780736Z","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":"2026-08-11T20:28:44.397654Z","title":"MVSNet: Depth inference for unstructured multi- view stereo","venue":null,"work_id":"29c423c8-c9b0-486d-8a48-95fd3a88ed23","year":2018},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.785071Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:3b2633d590223b08275d032cba782c221f85f32811fdee204ab50492771cc2e4","observation_id":"0ff80942-0a1f-4bc9-8dd2-2af0a09af368","resolution":{"observed_at":"2026-08-11T20:28:44.433929Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:44.198576Z","title":"ScanNet++: A high-fidelity dataset of 3d indoor scenes","venue":null,"work_id":"48ef0c5e-7c1b-4b6e-b92a-b30ff7c0f285","year":2023},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.789123Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:c1adf9f40f09e0b4b5f69491dc347418f94238e8b2f0213d1d6388632fba34c9","observation_id":"d2ede8ca-4b49-44ec-a4b1-5060012bc15e","resolution":{"observed_at":"2026-08-11T20:28:44.289149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:44.152633Z","title":"Pyramid multi-view stereo net with self-adaptive view aggregation","venue":null,"work_id":"e39c7fcf-6902-4b5f-8c25-9d1b6a8ed0f2","year":2020},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.794217Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:21bc19db37b207861fbe3abb5a7baf2ac68f817e05b3c6def76f496d0ffc40c1","observation_id":"8e11429b-ed8d-4f81-a814-182c232cf9f1","resolution":{"observed_at":"2026-08-11T20:28:44.158405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:44.137144Z","title":"Monosdf: Exploring monocu- lar geometric cues for neural implicit surface reconstruct ion","venue":null,"work_id":"25a31681-51c8-4f74-9fd9-89aca6959b50","year":2022},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.797967Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:a22c3f5034966297ba5515047478e01598132f9d8a0eae9dab4834366d55b540","observation_id":"71b7d063-16d8-4517-ae47-5e1d47ae71cb","resolution":{"observed_at":"2026-08-11T20:28:44.142706Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:44.123717Z","title":"A Semi-Supervised Method for PatchMatch Multi-View Stereo with Sparse Points","venue":null,"work_id":"205563fa-a56f-45df-baae-a2de8fa35cf3","year":2022},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.816096Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:19928f36fbe44e8424b8c2ca6bdc43385baa879d7e77396e68b340257f8618a3","observation_id":"06e0e6fd-e9c5-425d-8bc1-5736307c814c","resolution":{"observed_at":"2026-08-11T20:28:44.127903Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:44.109589Z","title":"ElasticMVS: Learning elastic part rep- resentation for self-supervised multi-view stereopsis","venue":null,"work_id":"9294f4ad-0edf-41b4-8259-a00d3f376d15","year":2022},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.833964Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:fd5ae2162607052aa1de4d61c0917e47658054ff20a7f475911b1e54a6d84681","observation_id":"90155b34-d6e8-4156-9412-bcc89ea4e8c9","resolution":{"observed_at":"2026-08-11T20:28:44.114255Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T20:28:43.921811Z","title":"The unreasonable effectiveness of deep features as a perceptual metric","venue":null,"work_id":"556f7489-39fa-4905-8fbf-a03b56a49ba2","year":2018},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.843662Z"},"links":{"citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:8efa8581320b563f32ef5b6b7e4bb9280f10ed8d35dca7f4a4d8326505694416","observation_id":"27382e4c-7e61-4790-b5b0-5b229e19ac0f","resolution":{"observed_at":"2026-08-11T20:28:43.985726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1801.09847","last_updated":"2018-01-30T04:33:20Z","snapshot_observed_at":"2026-07-06T06:20:51.245757Z","submitted_at":"2018-01-30T04:33:20Z","title":"Open3D: A Modern Library for 3D Data Processing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1801.09847","snapshot_observed_at":"2026-08-11T20:28:43.848961Z","title":"Open3D: A modern library for 3D data processing","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-11T20:28:43.848961Z"},"links":{"cited_paper":"/paper/1801.09847","citing_paper":"/paper/2412.05771"},"observation_digest":"sha256:29dc17d91b91d03c73191005fa67d6fd05362270eacf84f7905eeeefb174770d","observation_id":"16196d6a-7968-42ea-bda5-5844b32c14c5","resolution":{"observed_at":"2026-08-11T20:28:43.848961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.05771","last_updated":"2024-12-08T01:05:41Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-21T07:55:59.626487Z","submitted_at":"2024-12-08T01:05:41Z","title":"Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors"},"reference_resolution":{"displayed":70,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":66},"total_outbound_references":70},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 0 inbound Pith citation observations for arXiv:2412.05771."}