{"as_of":"2026-08-19T18:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:78b8204c2ccc8ba13cc7ea7ffea895627938489287817cbd96ddbe974ba2215b","coverage":[{"denominator":99,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":99,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T01:05:06.310329Z","state":"measured"},{"denominator":102,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":102,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T15:14:18.247268Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-13T22:13:20.873474Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.02175","snapshot_observed_at":"2026-08-06T15:14:18.247268Z","title":"Sparsplat: Fast multi-view reconstruction with generalizable 2d gaussian splat- ting,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.16406","last_updated":"2025-07-22T09:57:28Z","snapshot_observed_at":"2026-08-13T03:24:20.990465Z","submitted_at":"2025-07-22T09:57:28Z","title":"Sparse-View 3D Reconstruction: Recent Advances and Open Challenges","version":1},"reference_index":116,"source":"pdf_text","source_observed_at":"2026-08-06T15:14:18.247268Z"},"links":{"cited_paper":"/paper/2505.02175","citing_paper":"/paper/2507.16406"},"observation_digest":"sha256:f018fac416816b49715009e33aeaa55d5d713fe368d2a224836c3ab6525dd848","observation_id":"ddac82d5-ae3e-4f78-b2e3-70901c5adbd6","resolution":{"observed_at":"2026-08-06T15:14:18.247268Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"cited_work":{"arxiv_id":"2505.02175","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.02175","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"55c74ada-13c9-4db3-a53d-002272e99844","year":2025},"citing_paper":{"arxiv_id":"2604.01479","last_updated":"2026-04-03T02:02:55Z","snapshot_observed_at":"2026-08-08T07:52:55.097673Z","submitted_at":"2026-04-01T23:35:40Z","title":"UniRecGen: Unifying Multi-View 3D Reconstruction and Generation","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-13T22:12:52.334139Z"},"links":{"cited_paper":"/paper/2505.02175","citing_paper":"/paper/2604.01479"},"observation_digest":"sha256:f43d7fdf10b7c55d7f8583576b266e32799a77fac227e5fb1c529827d4838d78","observation_id":"70440afe-3860-417b-b16d-a794be7fad0b","resolution":{"observed_at":"2026-05-13T22:13:20.874736Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.02175","snapshot_observed_at":"2026-07-14T09:13:52.374749Z","title":"arXiv preprint arXiv:2505.02175 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10792","last_updated":"2026-07-12T14:50:08Z","snapshot_observed_at":"2026-08-17T18:59:56.137163Z","submitted_at":"2026-07-12T14:50:08Z","title":"MAC-Splat: Multi-Attribute Consistency for High-Fidelity Sparse-View Reconstruction","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-14T09:13:52.374749Z"},"links":{"cited_paper":"/paper/2505.02175","citing_paper":"/paper/2607.10792"},"observation_digest":"sha256:820db733371765bb618cdd722889a74c8157fcea7470849cac9114f6b7821dc6","observation_id":"fb11a318-4dea-4513-8a96-4eb34b6c7a1f","resolution":{"observed_at":"2026-07-14T09:13:52.374749Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.02175/citation-record","integrity":"/paper/2505.02175/integrity","json":"/paper/2505.02175/citation-record.json","paper":"/paper/2505.02175"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.544270Z","title":"Large-scale data for multiple-view stereopsis","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.544270Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:b93ab61c1f7e44920a7e73df728661b9baaf7056edd26498cfd5d26aaa67de9e","observation_id":"90928ca7-8058-48c6-8fb5-1b1ab5958583","resolution":{"observed_at":"2026-08-16T01:05:05.544270Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.551845Z","title":"Neural point-based graph- ics","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.551845Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:946d43c27ecd2887e18fab1691d27277e3c1a9a97361e2157525e7fbbc83b007","observation_id":"9ff89179-a89c-46bf-a2cb-58f91f4fa50a","resolution":{"observed_at":"2026-08-16T01:05:05.551845Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.560953Z","title":"Sal: Sign agnos- tic learning of shapes from raw data","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.560953Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:9da93d9af02fea472313a779485c676c208d4bc3cd5fa91ca16d68b56588c69a","observation_id":"6a72bde8-71d5-452a-8ee2-c3074f2032d2","resolution":{"observed_at":"2026-08-16T01:05:05.560953Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.568099Z","title":"Mip-nerf: A multiscale representation for anti-aliasing neu- ral radiance fields","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.568099Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:ae2dd9991c81c8b58f31fa686bf3f8459c47b99e0fedbe9ad87ededae313a482","observation_id":"7aaf3c2e-2b57-4678-a353-bb0dcaa9ea13","resolution":{"observed_at":"2026-08-16T01:05:05.568099Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.574752Z","title":"Poco: Point con- volution for surface reconstruction","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.574752Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:2a1b07368058e0949d6ae5f78b812a45458757586bef33361fbbb1ce3987f81c","observation_id":"a7bd7191-d1cb-40e6-a738-c0994e08e60b","resolution":{"observed_at":"2026-08-16T01:05:05.574752Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.11673","last_updated":"2024-01-22T03:22:49Z","snapshot_observed_at":"2026-08-16T14:25:43.079743Z","submitted_at":"2024-01-22T03:22:49Z","title":"MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.11673","snapshot_observed_at":"2026-08-16T01:05:05.581283Z","title":"Mvsformer++: Revealing the devil in transformer’s details for multi-view stereo","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.581283Z"},"links":{"cited_paper":"/paper/2401.11673","citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:5ecb5056f253efc3bda9effd7e39b4886a2f2302dac39fecba82d5adc1c7c8eb","observation_id":"65916396-e0f5-4fdb-bb0d-6d6bde0bc2b2","resolution":{"observed_at":"2026-08-16T01:05:05.581283Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00860","last_updated":"2025-02-05T11:25:47Z","snapshot_observed_at":"2026-08-16T14:38:24.604764Z","submitted_at":"2023-12-01T17:15:24Z","title":"Segment Any 3D Gaussians","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00860","snapshot_observed_at":"2026-08-16T01:05:05.587493Z","title":"Segment any 3d gaussians","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.587493Z"},"links":{"cited_paper":"/paper/2312.00860","citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:8abade124e467e87b4e67ddc2a34b0980110204140364a61118ec248eb2f9de9","observation_id":"8a1442ab-71be-4b06-a8de-390790b856e9","resolution":{"observed_at":"2026-08-16T01:05:05.587493Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.594790Z","title":"pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.594790Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:a72e92fb0d84e24418d26a48d6abd9859c328bc0d816f277b0543fcf1a287c0f","observation_id":"65063c9e-0b41-4ee7-b6a2-d2b31bae74c5","resolution":{"observed_at":"2026-08-16T01:05:05.594790Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.600222Z","title":"pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.600222Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:1c4be7552bab18e92d271f23031477dae30e6df9932cd26c529039d93120720e","observation_id":"8795a951-3815-45e5-b842-6424d1d1c25e","resolution":{"observed_at":"2026-08-16T01:05:05.600222Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.608706Z","title":"Mvsnerf: Fast general- izable radiance field reconstruction from multi-view stereo","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.608706Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:c8a36f52a4a9d65e6a10e9825a1fbe913e96e5a0bf8fd3ac07d18ebc26515c6e","observation_id":"2bb180ee-81d9-4f58-aa9d-610ff6730a09","resolution":{"observed_at":"2026-08-16T01:05:05.608706Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.614161Z","title":"Unsupervised inference of signed distance functions from single sparse point clouds without learning priors","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.614161Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:583167ea9e87eed9ac12c1ac37f3e4be6bc2e40654b9f77b473ec4c54e40a800","observation_id":"19a0920d-49df-423a-97cc-549eeaabdcb5","resolution":{"observed_at":"2026-08-16T01:05:05.614161Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.620351Z","title":"Aug-nerf: Training stronger neural radiance fields with triple-level physically-grounded augmentations","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.620351Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:c551fd6f01d6372ba38e1823b61a96be45f41258d8130bcae95ef6661249e65c","observation_id":"0416293c-0b03-4986-934d-4e46fea87bcf","resolution":{"observed_at":"2026-08-16T01:05:05.620351Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.14521","last_updated":"2023-12-20T14:35:27Z","snapshot_observed_at":"2026-08-19T16:29:40.228741Z","submitted_at":"2023-11-24T14:46:59Z","title":"GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.14521","snapshot_observed_at":"2026-08-16T01:05:05.626107Z","title":"Gaussianeditor: Swift and con- trollable 3d editing with gaussian splatting","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.626107Z"},"links":{"cited_paper":"/paper/2311.14521","citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:dc320fcdc7bf8ff0180a13cf796fd1b1d4fc8a3e97e6dffe011f0f8264a23d9f","observation_id":"700471f6-6bf5-419c-a079-a3918ec7bb01","resolution":{"observed_at":"2026-08-16T01:05:05.626107Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.12294","last_updated":"2025-08-22T17:46:35Z","snapshot_observed_at":"2026-08-16T15:38:05.900376Z","submitted_at":"2023-04-24T17:46:01Z","title":"Explicit Correspondence Matching for Generalizable Neural Radiance Fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.12294","snapshot_observed_at":"2026-08-16T01:05:05.633149Z","title":"Explicit correspondence matching for generalizable neural radiance fields","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.633149Z"},"links":{"cited_paper":"/paper/2304.12294","citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:2446d29da51109ae663397ef11b23bde9331cecfc3576998803169432cc48350","observation_id":"a3d79943-a8ee-4dcc-a0bb-3fa6117f2dab","resolution":{"observed_at":"2026-08-16T01:05:05.633149Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.639305Z","title":"Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.639305Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:95a8f318dcb43d4201b11d911dc6252e2e8ac5238d05855ba990197ab3014780","observation_id":"210c268b-17dc-4c70-bb33-017e8625379b","resolution":{"observed_at":"2026-08-16T01:05:05.639305Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.645794Z","title":"Stereo radiance fields (srf): Learning view syn- thesis for sparse views of novel scenes","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.645794Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:f8d76d9147989ae0260c592765f174f5f31a8145383e6a58b496653060c34f9c","observation_id":"dc665485-e2d8-4d9d-8ed3-4ee5ab591496","resolution":{"observed_at":"2026-08-16T01:05:05.645794Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.652110Z","title":"Improving neural im- plicit surfaces geometry with patch warping","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.652110Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:3608af54fa93b6af4c2f3b5bee18eca78e8ad7751dda0be3bb49c2cb65e3ea5d","observation_id":"32010706-1eda-4e9a-aef3-eff304f241af","resolution":{"observed_at":"2026-08-16T01:05:05.652110Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.02791","last_updated":"2024-10-17T16:11:28Z","snapshot_observed_at":"2026-08-16T18:11:54.905366Z","submitted_at":"2021-07-06T17:58:35Z","title":"Depth-supervised NeRF: Fewer Views and Faster Training for Free","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.02791","snapshot_observed_at":"2026-08-16T01:05:05.658737Z","title":"Depth-supervised nerf: Fewer views and faster train- ing for free","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.658737Z"},"links":{"cited_paper":"/paper/2107.02791","citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:98b726b51c54802563b59d798fab6a103a167dd27313fe9c1472843eb871a7a3","observation_id":"09221fdb-964f-4a45-9320-cf1d4abe2a4c","resolution":{"observed_at":"2026-08-16T01:05:05.658737Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.666181Z","title":"Depth-supervised nerf: Fewer views and faster train- ing for free","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.666181Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:c1a053cea923142ebb06fa4e1ac6d48e8f7719226cca79db780fcbf6ec3814e8","observation_id":"db62b8dd-cb27-4034-a5bd-42cc23722b03","resolution":{"observed_at":"2026-08-16T01:05:05.666181Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.672010Z","title":"Transmvs- net: Global context-aware multi-view stereo network with transformers","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.672010Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:b4feda20c03c6c6dde38369e708c9c7a8f23b8e62d55fdabc7706d671a713a75","observation_id":"e9f5463b-3404-4e33-ae55-941cbf2e14d6","resolution":{"observed_at":"2026-08-16T01:05:05.672010Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.678870Z","title":"Points2surf learning implicit surfaces from point clouds","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.678870Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:77f3d7af7d4d460eba69081c2a6f316210874c3afceeb051c66bce6002415818","observation_id":"06aafbee-9f6b-4b8b-bc1f-389355feeb81","resolution":{"observed_at":"2026-08-16T01:05:05.678870Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.20309","last_updated":"2025-07-03T22:28:07Z","snapshot_observed_at":"2026-08-18T14:41:06.694852Z","submitted_at":"2024-03-29T17:29:58Z","title":"InstantSplat: Sparse-view Gaussian Splatting in Seconds","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.20309","snapshot_observed_at":"2026-08-16T01:05:05.689399Z","title":"Instantsplat: Un- bounded sparse-view pose-free gaussian splatting in 40 sec- onds","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.689399Z"},"links":{"cited_paper":"/paper/2403.20309","citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:8d372776cfef3b8c6ffd7ac068eeefbab01aaf99b5b2f8d1659601fa6da5c485","observation_id":"0a0f17ec-1a88-424c-97a6-40067c049db3","resolution":{"observed_at":"2026-08-16T01:05:05.689399Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2002.10099","last_updated":"2020-07-09T12:32:45Z","snapshot_observed_at":"2026-08-19T17:40:48.972314Z","submitted_at":"2020-02-24T07:36:32Z","title":"Implicit Geometric Regularization for Learning Shapes","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.10099","snapshot_observed_at":"2026-08-16T01:05:05.697743Z","title":"Implicit geometric regularization for learning shapes","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.697743Z"},"links":{"cited_paper":"/paper/2002.10099","citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:c5cd03a6bfda991ffeca95932d889774c77733c4c0131a28d47ee76a0db8a0b6","observation_id":"18f4f27a-5553-4148-a233-7da3ec9ad079","resolution":{"observed_at":"2026-08-16T01:05:05.697743Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.706196Z","title":"Cascade cost volume for high-resolution multi-view stereo and stereo matching","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.706196Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:130a4288de513c2df371b925996e76e4f0b843da8b8e36c8b0b5ebd478b05a3e","observation_id":"305f0a3e-2565-457e-8600-745998a9ae1f","resolution":{"observed_at":"2026-08-16T01:05:05.706196Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.716247Z","title":"Sugar: Surface- aligned gaussian splatting for efficient 3d mesh reconstruc- tion and high-quality mesh rendering","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.716247Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:7c1ed42f0b18681477de1a78f4cfc367a206e98555761e0b755589182552b758","observation_id":"f06317d9-5b6b-4a9f-9b1c-156d0edbbd1f","resolution":{"observed_at":"2026-08-16T01:05:05.716247Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02134","last_updated":"2024-03-30T04:22:34Z","snapshot_observed_at":"2026-08-16T14:37:44.995592Z","submitted_at":"2023-12-04T18:55:45Z","title":"GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02134","snapshot_observed_at":"2026-08-16T01:05:05.724176Z","title":"Gaussianavatar: Towards realistic human avatar modeling from a single video via animatable 3d gaussians","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.724176Z"},"links":{"cited_paper":"/paper/2312.02134","citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:c085dd13c9e46743a8a78110d903a51577b094b6ec5f1378cc529e10d9d434ea","observation_id":"93c2bc12-45e2-4898-8c0c-9962df48702f","resolution":{"observed_at":"2026-08-16T01:05:05.724176Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.733047Z","title":"Gauhuman: Articulated gaus- sian splatting from monocular human videos","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.733047Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:7162d0457e8251cd779036da20970b98c78a17cf5f16fd7de4b6ea4d870d3149","observation_id":"bc7e5a00-e812-4158-880b-0b018265b8ae","resolution":{"observed_at":"2026-08-16T01:05:05.733047Z","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":"2026-08-16T01:05:08.222041Z","title":"2d gaussian splatting for geometrically ac- curate radiance fields","venue":null,"work_id":"6d388f70-6507-4e38-b0d5-8e04e4d04787","year":2024},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.738371Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:de48993210d75d26b8f87a8d12c56aea1b830ea0da7bf6f5d0b9c5738216d2b3","observation_id":"de113020-9bc7-4aa7-bab7-42b044b1b375","resolution":{"observed_at":"2026-08-16T01:05:08.227680Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.744594Z","title":"Neural kernel surface re- construction","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.744594Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:73263fc3027dfedc460fab7fc5ce59ca9f61a2cd312b331328faae8e3dbc4d90","observation_id":"d935d7ae-e9d3-47d1-95d2-07df111784ca","resolution":{"observed_at":"2026-08-16T01:05:05.744594Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.753550Z","title":"Putting nerf on a diet: Semantically consistent few-shot view synthesis","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.753550Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:7c5f6e86a89bada5cb714536101ea61229cee0d4de2b5ff320336bc2be00992f","observation_id":"5cfaed64-03b9-46ed-9844-8771381c3255","resolution":{"observed_at":"2026-08-16T01:05:05.753550Z","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":"2026-08-16T01:05:08.173662Z","title":"Neural mesh-based graphics","venue":null,"work_id":"57adcf86-a0c1-49fb-8357-d3a4b5ad7e7b","year":2022},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.759979Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:b2606366cce7f59a04a8c853b8861f41e07b75afa02c4817b5f22292f3001b10","observation_id":"17f119e4-1053-4492-96db-115a6c6cef8a","resolution":{"observed_at":"2026-08-16T01:05:08.178790Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.14724","last_updated":"2024-09-28T16:47:19Z","snapshot_observed_at":"2026-08-16T13:23:39.147451Z","submitted_at":"2024-08-27T01:28:15Z","title":"GeoTransfer : Generalizable Few-Shot Multi-View Reconstruction via Transfer Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.14724","snapshot_observed_at":"2026-08-16T01:05:05.769337Z","title":"Geotransfer: Generalizable few-shot multi-view reconstruc- tion via transfer learning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.769337Z"},"links":{"cited_paper":"/paper/2408.14724","citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:b3f6139763b5fbf23e274fc7969c24d657299321d3014544e33e76ee357afe78","observation_id":"9ce99aae-dd93-4c13-b1e0-49f136edd6ee","resolution":{"observed_at":"2026-08-16T01:05:05.769337Z","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":"2026-08-16T01:05:08.156193Z","title":"Sparfels: Fast reconstruction from sparse un- posed imagery","venue":null,"work_id":"124bfe20-c62f-4ec1-bfa4-8494a7410a19","year":2025},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.776810Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:5cb267b1b19540b3e0c568c5f55978cf9121906bf4d28ac242df4af72b8a4987","observation_id":"3e28d78f-d634-4e3f-b38a-341eb4ec32dd","resolution":{"observed_at":"2026-08-16T01:05:08.162077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:08.138816Z","title":"Sdfdiff: Differentiable rendering of signed distance fields for 3d shape optimization","venue":null,"work_id":"d5dfdd2c-e8f8-4d92-bc34-dc2460b1d8ef","year":2020},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.782564Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:c067713c8fd6d15fca49737c685a4bf6a631894f086ab8a6a081b1f3c3c6bf91","observation_id":"806260fa-c5bc-4b77-bcab-0fa0ea9a3af7","resolution":{"observed_at":"2026-08-16T01:05:08.144286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:08.122714Z","title":"Geonerf: Generalizing nerf with geometry priors","venue":null,"work_id":"80a0bdcc-6001-4362-bc82-cc54bd13d67f","year":2022},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.790056Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:ba25b6903a56354da454ddff21ebba52f099669eea9b8d1d20a11680a0d81ed9","observation_id":"3eb5bb0a-7bd7-4be6-b20c-7b1cb21cd232","resolution":{"observed_at":"2026-08-16T01:05:08.127868Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:08.101045Z","title":"Neural lumigraph render- ing","venue":null,"work_id":"cafb8ff7-0047-4295-b7eb-dbe02d7afccc","year":null},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.798620Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:738c72391bb7e73fea6dddd6d3f8055aa3143b1ef024027469245a4b61b5dcd4","observation_id":"beb4b3c9-86ef-47c1-a3d4-ce05f582e36a","resolution":{"observed_at":"2026-08-16T01:05:08.108646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.810525Z","title":"3d gaussian splatting for real-time radiance field rendering","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.810525Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:8e612fd1be1acd77ca2bbe7d36e4adab8dacf2f18e03c01109fe38e40a83158d","observation_id":"a592b71b-8b1f-43c1-b57d-e38a2366384c","resolution":{"observed_at":"2026-08-16T01:05:05.810525Z","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":"2026-08-16T01:05:08.064668Z","title":"Infonerf: Ray entropy minimization for few-shot neural volume ren- dering","venue":null,"work_id":"29161d54-7f9a-4408-9de4-4278f3134c2d","year":2022},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.815813Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:c3af6c0406fcbec820d5b422ab51f8c3dae68a580d3160ba8d018b09e607f125","observation_id":"2d650313-4ee5-4ed6-88ac-e864e50c2f7a","resolution":{"observed_at":"2026-08-16T01:05:08.071257Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-17T19:26:44.032537Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-16T01:05:05.820617Z","title":"Adam: A method for stochastic optimization","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.820617Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:e1e6c02dbf5388f792c0cc82ae0d9d0a3fd603e211c69907ea5b1545db749628","observation_id":"e5ea8471-314a-43cd-b1ad-7f43f0092c4f","resolution":{"observed_at":"2026-08-16T01:05:05.820617Z","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":"2026-08-16T01:05:08.041580Z","title":"Tanks and temples: Benchmarking large-scale scene reconstruction","venue":null,"work_id":"09aab398-1398-4d2b-81ed-40b5bf121e99","year":2017},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.826350Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:fd17c9e02c5d19742c401115c0836bef87006d8293f46837775f753948bc39e2","observation_id":"cb70a970-cbe2-4116-a37e-32f8f3d9c71f","resolution":{"observed_at":"2026-08-16T01:05:08.050480Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09756","last_updated":"2024-06-14T06:46:30Z","snapshot_observed_at":"2026-08-18T16:42:12.817402Z","submitted_at":"2024-06-14T06:46:30Z","title":"Grounding Image Matching in 3D with MASt3R","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.09756","snapshot_observed_at":"2026-08-16T01:05:05.831546Z","title":"Ground- ing image matching in 3d with mast3r","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.831546Z"},"links":{"cited_paper":"/paper/2406.09756","citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:57768961cf43e25ea80e8978b3f7d4efbab87ff87ff7db28589bd4f5a45f3aa7","observation_id":"3c8aff28-cd7b-4cd7-842c-706c842f75c1","resolution":{"observed_at":"2026-08-16T01:05:05.831546Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.837493Z","title":"Nerf- pose: A first-reconstruct-then-regress approach for weakly- supervised 6d object pose estimation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.837493Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:52627d8b1b1ffb320e51bf920aca16ec14098f985b03e9819cded77c2daf3a1a","observation_id":"a4978bda-255f-4f06-8160-a628528b4a49","resolution":{"observed_at":"2026-08-16T01:05:05.837493Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.843536Z","title":"Learn- ing generalizable light field networks from few images","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.843536Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:0bbcc0a7a022370c5cb9dc2c19ecc7e0632886bacbef038e46d7286011bca810","observation_id":"b72c1d11-0a44-4e10-8688-d445fff309bb","resolution":{"observed_at":"2026-08-16T01:05:05.843536Z","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":"2026-08-16T01:05:07.995063Z","title":"Regular- izing neural radiance fields from sparse rgb-d inputs","venue":null,"work_id":"dd834310-67d2-4c41-90cc-1aadebe27d7a","year":2023},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.849985Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:3e65afc2c9496ecaceb668a6a68be4ef559f08b3b929be8221174f2e95565cea","observation_id":"2eb6500f-ee96-472f-bba0-58cd232c58f7","resolution":{"observed_at":"2026-08-16T01:05:08.001638Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:07.975617Z","title":"Retr: Modeling rendering via transformer for generalizable neural surface re- construction","venue":null,"work_id":"0ef23037-6112-4f51-863d-fb2350fb1c0f","year":2024},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.866481Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:10603f5fbf9eec44b8af10ed55335d47f4c22c4514f17844e971c45969f9d6d7","observation_id":"4814c3bf-ba21-42a8-8be6-e7c85742444c","resolution":{"observed_at":"2026-08-16T01:05:07.982012Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:07.955406Z","title":"Efficient neural radiance fields for interactive free-viewpoint video","venue":null,"work_id":"2f74855f-f56f-4099-8098-ee2dc3f8bf86","year":2022},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.872443Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:039a9db6b1f4ddee6709dcb59cabbc1708fcc7b459ad6964daa9af8d73c4025e","observation_id":"7955c939-9997-4086-b3dd-5af41dfd5f64","resolution":{"observed_at":"2026-08-16T01:05:07.961865Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.877624Z","title":"Neural sparse voxel fields","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.877624Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:4c571a98e67f615d76bab5ec83605d1defdf0d13cf754ad0c8b1e36e471e1704","observation_id":"a1a07ce7-ed5b-43a3-be5d-990d5b221848","resolution":{"observed_at":"2026-08-16T01:05:05.877624Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.12218","last_updated":"2024-07-15T12:34:30Z","snapshot_observed_at":"2026-08-17T15:10:45.376020Z","submitted_at":"2024-05-20T17:59:30Z","title":"MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.12218","snapshot_observed_at":"2026-08-16T01:05:05.889111Z","title":"Fast generalizable gaussian splatting reconstruction from multi-view stereo","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.889111Z"},"links":{"cited_paper":"/paper/2405.12218","citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:f0984b926d2e98d418f1898470a039171a596b7848d5e86262b12e20d31715c7","observation_id":"88d54e60-85e7-41ea-bd1e-b0a5aae343dd","resolution":{"observed_at":"2026-08-16T01:05:05.889111Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.904271Z","title":"Neural rays for occlusion-aware image-based render- ing","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.904271Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:511cc0447b965276dc3960219d0237427214433343533e6101d69773d157205d","observation_id":"82f239c2-f1ab-4ec3-82d2-85ec3156f400","resolution":{"observed_at":"2026-08-16T01:05:05.904271Z","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":"2026-08-16T01:05:07.893076Z","title":"Sparseneus: Fast generalizable neural sur- face reconstruction from sparse views","venue":null,"work_id":"95fdaf39-2954-492b-b83d-a2950a0f2e19","year":2022},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.909567Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:f2655dad620cf3379ed42ad5d5a2b79b10207e89c571bdacabe605858d889499","observation_id":"5785681f-1c68-49e0-9fd2-c8d221cc0518","resolution":{"observed_at":"2026-08-16T01:05:07.898211Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.914848Z","title":"Dynamic 3d gaussians: Tracking by per- sistent dynamic view synthesis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.914848Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:fc47997412f3be2c4a4e1703ae84349b43b65b3b5c03c7bd1fc880e9da049e50","observation_id":"fe334681-82d8-4ca8-94b8-6592e9075bd9","resolution":{"observed_at":"2026-08-16T01:05:05.914848Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.921189Z","title":"Occupancy networks: Learning 3d reconstruction in function space","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.921189Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:b92aceb06f3c395bf07727307247e1f0f9cafc70dc1dd622e78167187b693f3e","observation_id":"10f0b530-2491-4761-9e74-9065f2762a2d","resolution":{"observed_at":"2026-08-16T01:05:05.921189Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.926699Z","title":"Nerf: Representing scenes as neural radiance fields for view syn- thesis","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.926699Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:d076a116fdaddc605eb4ae7e2177e250c0e6a58a039d7346eac6bbb1168c5bef","observation_id":"2227f98d-9d52-4bfb-8a5b-e5134d72be24","resolution":{"observed_at":"2026-08-16T01:05:05.926699Z","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":"2026-08-16T01:05:07.837917Z","title":"Uforecon: Generalizable sparse-view surface reconstruction from arbitrary and unfavorable sets","venue":null,"work_id":"0103589b-c1de-450f-a9d0-1be83c53f54c","year":2024},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.933808Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:71b6a7e41eb4c8c5839e0fd44612fb00de5b0be0911b6383605a261c534174f2","observation_id":"caebbbd0-3d61-4346-bb9d-49ee50fc9f12","resolution":{"observed_at":"2026-08-16T01:05:07.843542Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:07.819535Z","title":"Differentiable volumetric rendering: Learn- ing implicit 3d representations without 3d supervision","venue":null,"work_id":"bed9cd2a-82e2-4669-9033-f4619412ce91","year":2020},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.939633Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:024e74b65a74640d3f283108185aae0e00530ada7fcdded8762ff64594afd3ee","observation_id":"212d2faf-6585-4cb3-8073-b7e2bee6b818","resolution":{"observed_at":"2026-08-16T01:05:07.825303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.00724","last_updated":"2021-12-01T18:59:46Z","snapshot_observed_at":"2026-08-16T17:37:45.785072Z","submitted_at":"2021-12-01T18:59:46Z","title":"RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.00724","snapshot_observed_at":"2026-08-16T01:05:05.945503Z","title":"Reg- nerf: Regularizing neural radiance fields for view synthesis from sparse inputs","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.945503Z"},"links":{"cited_paper":"/paper/2112.00724","citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:930dbb0a638d79e4611bb27de456fcdbbba76f89ff4f14a96dde477a1fe91899","observation_id":"596913fe-9fab-4870-95c2-925586e63951","resolution":{"observed_at":"2026-08-16T01:05:05.945503Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.952286Z","title":"Reg- nerf: Regularizing neural radiance fields for view synthesis from sparse inputs","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.952286Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:d3e90902dba989feb1d8b0b82d8dc099e993bc50ec2e3267a3d344e704004ac7","observation_id":"1bb6757e-e317-4ebd-9ba0-34beacaf1661","resolution":{"observed_at":"2026-08-16T01:05:05.952286Z","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":"2026-08-16T01:05:07.785544Z","title":"Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction","venue":null,"work_id":"2e20f465-f27b-4006-a5e0-16cba2a87219","year":2021},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.961153Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:dcd425ea9afc116df3e8231b36cd2a76daf3e971b594f1ef8b3049245180a7f3","observation_id":"547b024f-374b-40a8-9312-684a17a79a97","resolution":{"observed_at":"2026-08-16T01:05:07.793626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.07193","last_updated":"2024-02-02T10:24:09Z","snapshot_observed_at":"2026-08-17T13:03:40.359628Z","submitted_at":"2023-04-14T15:12:19Z","title":"DINOv2: Learning Robust Visual Features without Supervision","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.07193","snapshot_observed_at":"2026-08-16T01:05:05.971612Z","title":"Dinov2: Learning robust visual features without supervision","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.971612Z"},"links":{"cited_paper":"/paper/2304.07193","citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:ff08a3127c277f75c4e7296cd9ea08a05f042850914e8d4f0dd3102cb6e390a1","observation_id":"615b9bc0-dc08-4922-b81d-a4b3772c76e7","resolution":{"observed_at":"2026-08-16T01:05:05.971612Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.979286Z","title":"Few’zero level set’- shot learning of shape signed distance functions in feature space","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.979286Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:3ce5667d0a9e29fe232c460849d3fa3efb5d0acb19cea211fc79fbcda019b6f6","observation_id":"4360712e-dc00-4196-97d2-e10b8bf8c2ec","resolution":{"observed_at":"2026-08-16T01:05:05.979286Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:05.985160Z","title":"Mixing-denoising generalizable occupancy networks","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.985160Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:3c90fa2dfcea9f763c1d91654f7632efe55d4ee337d524071296c2a9d9b9db64","observation_id":"7da81be6-92a1-4d0c-8d10-98a1eafe1738","resolution":{"observed_at":"2026-08-16T01:05:05.985160Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.15114","last_updated":"2024-08-27T14:54:33Z","snapshot_observed_at":"2026-08-18T18:59:40.106534Z","submitted_at":"2024-08-27T14:54:33Z","title":"Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.15114","snapshot_observed_at":"2026-08-16T01:05:05.990753Z","title":"Few-shot unsuper- vised implicit neural shape representation learning with spa- tial adversaries","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.990753Z"},"links":{"cited_paper":"/paper/2408.15114","citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:4e7145002ffff3705f2f44ed8ad1b2f421ddac232d4ef7675830aa1848077141","observation_id":"1cc501a9-c48c-4b34-baf0-b32fae51c3ef","resolution":{"observed_at":"2026-08-16T01:05:05.990753Z","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":"2026-08-16T01:05:07.739796Z","title":"Robustifying gen- eralizable implicit shape networks with a tunable non- parametric model","venue":null,"work_id":"4a0514c0-5e8c-4fc4-bce9-af8861eba6f3","year":2024},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.996146Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:0f1276a36a824fe30e9d5a81d9afe6bbc9378201ada6bf4564ecb0a76e5c0a19","observation_id":"fa7ce5dc-0565-4bd7-be26-b36cef8d3d51","resolution":{"observed_at":"2026-08-16T01:05:07.745822Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:07.722253Z","title":"Unsupervised occu- pancy learning from sparse point cloud","venue":null,"work_id":"ab20e6df-0e86-4bc3-b0fa-02fffd5bcbd8","year":2024},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.001760Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:c842457a9a4f34e80e051d16fad5a976be60a26f0a8328d95265350d5e52fb35","observation_id":"1e6edfeb-9a0e-472c-80ce-5a1f0bdb6bd3","resolution":{"observed_at":"2026-08-16T01:05:07.727817Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.16361","last_updated":"2024-12-20T21:49:02Z","snapshot_observed_at":"2026-08-19T17:05:11.681377Z","submitted_at":"2024-12-20T21:49:02Z","title":"Toward Robust Neural Reconstruction from Sparse Point Sets","version":1},"cited_work":{"arxiv_id":"2412.16361","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.16361","snapshot_observed_at":"2026-08-16T01:05:06.592750Z","title":"Toward Robust Neural Reconstruction from Sparse Point Sets","venue":"cs.CV","work_id":"ad2e0545-8571-4bac-8cbe-eb60420dd8d7","year":2024},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.009602Z"},"links":{"cited_paper":"/paper/2412.16361","citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:d08058f206ff72aba376d3321238f2b87021aebcd5ec853b67a320f107455aaa","observation_id":"7c9e3513-fe43-4a67-bccc-3c4e298f6899","resolution":{"observed_at":"2026-08-16T01:05:06.600783Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:07.706165Z","title":"Deepsdf: Learning con- tinuous signed distance functions for shape representation","venue":null,"work_id":"fc29d1fa-ec72-4762-b75d-f46c43781d3c","year":2019},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.022969Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:8b834181938a43a01c995096889e0ece684c2e07aa742bf266337a633c24102e","observation_id":"f4119033-8b12-487d-ae1e-a13bdbb68dd0","resolution":{"observed_at":"2026-08-16T01:05:07.711756Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:06.035286Z","title":"Pytorch: An im- perative style, high-performance deep learning library","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.035286Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:efec3e5c84c529ba061d133f06a0d080a13cfae8cfcf3a469eb955e8bb09f6f5","observation_id":"aa53cc79-46b8-4ced-830c-ef0d164a4f1f","resolution":{"observed_at":"2026-08-16T01:05:06.035286Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.09228","last_updated":"2024-04-04T15:06:02Z","snapshot_observed_at":"2026-08-18T20:51:41.647593Z","submitted_at":"2023-12-14T18:54:32Z","title":"3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.09228","snapshot_observed_at":"2026-08-16T01:05:06.047419Z","title":"3dgs-avatar: Animatable avatars via deformable 3d gaussian splatting","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.047419Z"},"links":{"cited_paper":"/paper/2312.09228","citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:1a329750e47f837de688fec57d74b31ab07a6a05d4b73d5d408d63bff08dec15","observation_id":"0651937a-f891-4673-8a27-cbb4a16b6a18","resolution":{"observed_at":"2026-08-16T01:05:06.047419Z","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":"2026-08-16T01:05:07.675877Z","title":"V olrecon: V olume rendering of signed ray distance functions for generalizable multi-view reconstruction","venue":null,"work_id":"7ce2b40f-3e45-4b90-bd34-b64167930cbd","year":2023},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.057283Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:60a7a06bf4d76276df6daf1104f66e97bf813c37ed01a89f70085d62a7d0b0b6","observation_id":"66658106-1d2f-4a74-b85d-d88158e86074","resolution":{"observed_at":"2026-08-16T01:05:07.681505Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:07.655958Z","title":"Free view synthesis","venue":null,"work_id":"e6d2363f-fa26-49d3-8491-b49ef52f97a5","year":2020},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.064058Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:29ce819287aa0c224b34335dbf10622b083e6842e76c1e2d306565ca433d5b75","observation_id":"fee78a21-0655-4761-9544-140408bef6c0","resolution":{"observed_at":"2026-08-16T01:05:07.662726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:07.636093Z","title":"Structure- from-motion revisited","venue":null,"work_id":"0c19b4a4-9e46-4d2a-8c1a-8bd36e7e6243","year":2016},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.071521Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:1474a1090b554e200c155dfc1d5a5d7aaee6bc805b2c6a6ca0aee6ff941a5a75","observation_id":"a1ca47c8-08ef-4b04-ad38-230af659500f","resolution":{"observed_at":"2026-08-16T01:05:07.642972Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:07.616806Z","title":"Light field networks: Neu- ral scene representations with single-evaluation rendering","venue":null,"work_id":"dc666b81-3d3a-428f-a4fa-4f3387119990","year":2021},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.077933Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:5ab0a3f7769f6b803da80fb08867e841e991b27cd835d6bffecf011f93c79be5","observation_id":"cbcbb820-93a5-4f89-83c0-d9f53ce7a84e","resolution":{"observed_at":"2026-08-16T01:05:07.623389Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:07.598369Z","title":"Light field neural rendering","venue":null,"work_id":"6028ed56-3859-4d9b-9c12-299b1cb9a627","year":2022},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.085651Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:91850d3b8c9310d98b8454c8f805c5b77259090f511a62ea6c7a1efa1d85f9e0","observation_id":"55cc051d-5ace-4176-9b55-0a0b9188ed6a","resolution":{"observed_at":"2026-08-16T01:05:07.604281Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:06.096359Z","title":"Splatter image: Ultra-fast single-view 3d recon- struction","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.096359Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:cc82e0302c0e13b3f1c78c5e688b15dc1fb7acb3a119a3f14338bb57e89028d9","observation_id":"65385256-9b55-459c-a394-f7a097bd7e48","resolution":{"observed_at":"2026-08-16T01:05:06.096359Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:06.106551Z","title":"De- ferred neural rendering: Image synthesis using neural tex- tures","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.106551Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:7895328cef567a1697364c03b0fe4fcb18bccf26533bfad0fb2d848d74f33793","observation_id":"eda3e5f0-8974-45d1-9a4d-7f662ba853ed","resolution":{"observed_at":"2026-08-16T01:05:06.106551Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:06.111768Z","title":"Grf: Learning a general radi- ance field for 3d representation and rendering","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.111768Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:99dcabc04b6ece5dbac140a42ad542ca831e5154686aa116dc9c0da9d0d8c789","observation_id":"15284213-f651-4c92-b5f2-2da97c5eb0e1","resolution":{"observed_at":"2026-08-16T01:05:06.111768Z","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":"2026-08-16T01:05:07.529052Z","title":"Nerf-feat: 6d object pose estimation using feature rendering","venue":null,"work_id":"59054676-f0cd-40c4-9b30-fe09d466aa3a","year":2024},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.118562Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:5a0af9fd861bbe2c6c39c2bc5d01dffc24c74bf402511e956b857c208dcd402a","observation_id":"c916b597-7b8c-41d9-ad57-1639f8ddbfa9","resolution":{"observed_at":"2026-08-16T01:05:07.535058Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:07.511149Z","title":"Patchmatchnet: Learned multi-view patchmatch stereo","venue":null,"work_id":"5ddaba3b-da10-4f00-844e-de4c19322bca","year":2021},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.125509Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:7237896d3d191119458cf6bbaff9fdb949cb2746c1bd9cb9194ec84304e25d9d","observation_id":"530e6d40-7be3-4366-9ad4-d0f342496b22","resolution":{"observed_at":"2026-08-16T01:05:07.516948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.16196","last_updated":"2023-08-13T09:35:26Z","snapshot_observed_at":"2026-08-16T15:44:37.630263Z","submitted_at":"2023-03-28T17:58:05Z","title":"SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.16196","snapshot_observed_at":"2026-08-16T01:05:06.132358Z","title":"Sparsenerf: Distilling depth ranking for few- shot novel view synthesis","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.132358Z"},"links":{"cited_paper":"/paper/2303.16196","citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:a23366afd4d8aec51c745f591d9fd596514a9cacd537f04e4a18027f91f834d3","observation_id":"f3495272-87b4-464b-85db-b85feb577876","resolution":{"observed_at":"2026-08-16T01:05:06.132358Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.10689","last_updated":"2023-02-01T06:00:21Z","snapshot_observed_at":"2026-08-02T09:26:48.635481Z","submitted_at":"2021-06-20T12:59:42Z","title":"NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.10689","snapshot_observed_at":"2026-08-16T01:05:06.140087Z","title":"Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.140087Z"},"links":{"cited_paper":"/paper/2106.10689","citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:b1c616043066ef4c220d821d7a768a415e980a0ea71c5f0ed28bd725abb01640","observation_id":"0f7dfc7d-fbce-4799-998f-b867788ff4fc","resolution":{"observed_at":"2026-08-16T01:05:06.140087Z","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":"2026-08-16T01:05:07.489877Z","title":"Ibr- net: Learning multi-view image-based rendering","venue":null,"work_id":"038724bc-1bf2-4184-bc53-e980afe0632b","year":2021},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.151775Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:be09c466d620908700b0239e836c26355b226563f1399b920ae65908e9549a8e","observation_id":"d909be92-a58f-4cb1-95a5-8f25f107573d","resolution":{"observed_at":"2026-08-16T01:05:07.495227Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:06.161726Z","title":"Hf-neus: Improved surface reconstruction using high-frequency de- tails","venue":null,"work_id":null,"year":1966},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.161726Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:5c37e0546844474910d34bc8df1dbc783d6346113addce25cd34beb101e8b218","observation_id":"96e0b59e-736e-45a4-8f9b-400b64c2cc2f","resolution":{"observed_at":"2026-08-16T01:05:06.161726Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:06.174515Z","title":"Image quality assessment: from error visibility to structural similarity","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.174515Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:291501498f88c1baf1ee584f098f573ad225637483f53dec6e9882e470af4cdb","observation_id":"ed4faa9e-8043-438d-9d34-41ed6f14c145","resolution":{"observed_at":"2026-08-16T01:05:06.174515Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.08528","last_updated":"2024-07-15T12:34:51Z","snapshot_observed_at":"2026-08-16T14:52:36.477630Z","submitted_at":"2023-10-12T17:21:41Z","title":"4D Gaussian Splatting for Real-Time Dynamic Scene Rendering","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.08528","snapshot_observed_at":"2026-08-16T01:05:06.182143Z","title":"4d gaussian splatting for real-time dynamic scene rendering","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.182143Z"},"links":{"cited_paper":"/paper/2310.08528","citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:8f574334276c1a643d2fa2c906bfd1c6bdae8a33b67f47e56115e113ee231620","observation_id":"3eebaf70-6438-4fcd-b51e-e3550cb550e3","resolution":{"observed_at":"2026-08-16T01:05:06.182143Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:06.191239Z","title":"Diffusionerf: Regularizing neural radiance fields with denoising diffu- sion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.191239Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:44a5c9731db2afcec75755f95396b3e54165f62bdff7f2267a8636a415adacbd","observation_id":"829910cb-f899-4648-9638-aee0cad19b18","resolution":{"observed_at":"2026-08-16T01:05:06.191239Z","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":"2026-08-16T01:05:07.241903Z","title":"Wavenerf: Wavelet-based generalizable neural radiance fields","venue":null,"work_id":"01ab9800-fd76-49c2-99d4-d459b094264c","year":2023},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.199887Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:92100a91fca181b225128386b6212bcf1e48181dfe77e7983994314381e78f90","observation_id":"5730a5eb-497a-43b1-9c45-d81d671d7c17","resolution":{"observed_at":"2026-08-16T01:05:07.417028Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:07.223311Z","title":"Cost volume pyramid based depth inference for multi-view stereo","venue":null,"work_id":"7dfcaad9-4d12-4df1-913e-f86da3d029a8","year":null},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.205795Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:e051a7d6a3d7a6eb149afa990d93472238c764cd5e43cb84451ebfd18626de0a","observation_id":"51041ed5-1065-458f-8b23-031d7b55717d","resolution":{"observed_at":"2026-08-16T01:05:07.228721Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.13101","last_updated":"2023-11-19T14:50:08Z","snapshot_observed_at":"2026-08-18T16:26:29.988467Z","submitted_at":"2023-09-22T16:04:02Z","title":"Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.13101","snapshot_observed_at":"2026-08-16T01:05:06.211846Z","title":"Deformable 3d gaussians for high-fidelity monocular dynamic scene reconstruction.arXiv preprint arXiv:2309.13101, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.211846Z"},"links":{"cited_paper":"/paper/2309.13101","citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:07e886fe64162354eea143351e6804465e4fa18cf21b39a7dd0e8c1f22ee9291","observation_id":"d6be1d46-ab71-4931-acab-d7adc56c5908","resolution":{"observed_at":"2026-08-16T01:05:06.211846Z","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":"2026-08-16T01:05:07.201571Z","title":"Mvsnet: Depth inference for unstructured multi-view stereo","venue":null,"work_id":"aee06ead-b775-40fe-b449-c5616ad7c160","year":2018},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.218475Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:ea25860110b5b07c18f4746b4b75b4f71dfa9a54cdba9d354ad62cb4c0f708f4","observation_id":"c4f6f2ce-3750-4e0f-83bb-f29c3d872c23","resolution":{"observed_at":"2026-08-16T01:05:07.208009Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:07.177945Z","title":"Blendedmvs: A large- scale dataset for generalized multi-view stereo networks","venue":null,"work_id":"55b27cd3-0930-48b1-b905-22926648a0b4","year":2020},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.227258Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:633352d4f67132c1dcaedf63833a1c2200a9640b98e66f53691dde2dcafe2b8c","observation_id":"284fa637-c3dd-45a3-abbe-8e58dd833fc9","resolution":{"observed_at":"2026-08-16T01:05:07.184609Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:07.159055Z","title":"Multiview neu- ral surface reconstruction by disentangling geometry and ap- pearance","venue":null,"work_id":"c43354a4-a871-4fc9-9335-13698b8e5e3f","year":2020},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.244440Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:ca1fd2c5145e65127fc3899df5244604fe35fdca217a60021239f544df0f2f20","observation_id":"e18c79ea-4587-4484-9807-c1aeae08a9f8","resolution":{"observed_at":"2026-08-16T01:05:07.165371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:07.122866Z","title":"V ol- ume rendering of neural implicit surfaces","venue":null,"work_id":"a2a06dee-9172-4caf-9cdc-4f68991c25ed","year":2021},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.252075Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:25a41c37d96bf31dfb029df99aa89257b9b0d25ef8b054cea0b22e9d84ee72be","observation_id":"1120519a-7b22-4c4b-8b1b-5c9b91e51a3d","resolution":{"observed_at":"2026-08-16T01:05:07.128281Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:07.104010Z","title":"Spar- secraft: Few-shot neural reconstruction through stereopsis guided geometric linearization","venue":null,"work_id":"0d6b97a8-6966-491a-8c76-c5596a93f7ec","year":2024},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.261007Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:1a22cf21a7650080538e65a27311639651147d9d7da53c48e594cbf8ad652835","observation_id":"56ae4b29-e2e6-4abc-9953-f0bae7a3a3dd","resolution":{"observed_at":"2026-08-16T01:05:07.109485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:07.081618Z","title":"pixelnerf: Neural radiance fields from one or few images","venue":null,"work_id":"b865de80-615d-43d2-a85e-57e77837637f","year":2021},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.268901Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:abe056c58b90a61fbf2decb09fce5b42b70546e28d9f6915e30fc697706f753f","observation_id":"ec80fb3b-2191-4cdd-8ec0-a15c290e1da1","resolution":{"observed_at":"2026-08-16T01:05:07.088910Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:06.280913Z","title":"Monosdf: Exploring monocu- lar geometric cues for neural implicit surface reconstruc- tion","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.280913Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:1219eeebb2fb2ce728bc16d0b91b598947e2d09bb5c17fe4aba82b75a98eb791","observation_id":"697997d5-4bdc-481e-9ae8-7b08a5a21b74","resolution":{"observed_at":"2026-08-16T01:05:06.280913Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:06.293343Z","title":"The unreasonable effectiveness of deep features as a perceptual metric","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.293343Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:e32b576b5ced4be4d226d1509d9df6db183cd180c4dde0c8cc7b2dca58f90211","observation_id":"ab3450dd-cf71-4f7d-8b58-f2a521074de5","resolution":{"observed_at":"2026-08-16T01:05:06.293343Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T01:05:06.303760Z","title":"Gps- gaussian: Generalizable pixel-wise 3d gaussian splatting for real-time human novel view synthesis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.303760Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:0c082a6c6cb9977b3d3dedd343495a59b0a34d28fb460c68b78d631082d919e4","observation_id":"d397e64c-9683-4f04-8da6-e3b3ea2e5b6e","resolution":{"observed_at":"2026-08-16T01:05:06.303760Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2026-08-16T01:05:06.310329Z","title":"Open3d: A modern library for 3d data processing","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:06.310329Z"},"links":{"cited_paper":"/paper/1801.09847","citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:0d23df7789078bbdca6b2e0db6b4552a6dc78ca2aae5b866bf0e5bff43b8e406","observation_id":"db5cb226-03cf-4d04-9813-9d486bf5ee3c","resolution":{"observed_at":"2026-08-16T01:05:06.310329Z","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":"2026-08-16T01:05:07.921447Z","title":null,"venue":null,"work_id":"38bf2759-4972-4240-9ae1-8d28b79aa5a0","year":null},"citing_paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-16T01:05:05.898463Z"},"links":{"citing_paper":"/paper/2505.02175"},"observation_digest":"sha256:1484cf2673865db6beaea8c646a6a0011072f1bf40cc06f8be026e846bae38a4","observation_id":"b1c89f2e-9a7b-417e-853c-ef33ecd97d45","resolution":{"observed_at":"2026-08-16T01:05:07.930010Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.02175","last_updated":"2025-05-04T16:33:47Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-18T16:44:48.497030Z","submitted_at":"2025-05-04T16:33:47Z","title":"SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting"},"reference_resolution":{"displayed":99,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":64,"verified_exact":1,"verified_fuzzy":34},"total_outbound_references":99},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 99 of 99 outbound references and 3 inbound Pith citation observations for arXiv:2505.02175."}