{"as_of":"2026-08-08T02:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7854206d9bfc4a550306c299822928841445bc8e7c84530938a280b7595db382","coverage":[{"denominator":52,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":52,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:28:38.007514Z","state":"measured"},{"denominator":52,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":52,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.05204/citation-record","integrity":"/paper/2506.05204/integrity","json":"/paper/2506.05204/citation-record.json","paper":"/paper/2506.05204"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:28:43.088169Z","title":"3d semantic parsing of large-scale indoor spaces","venue":null,"work_id":"755e5a49-0f6f-4934-93e1-0663136bf9ec","year":2016},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:32.839380Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:adcf7f9a59e36460d382b52d924a770c972d67c2b8b5cc2c2b9f2c00fe3960d3","observation_id":"84fbeb17-f349-462b-920a-03ca9bca427c","resolution":{"observed_at":"2026-08-07T10:28:43.163884Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:28:42.855223Z","title":"Emerging properties in self-supervised vision transformers","venue":null,"work_id":"0b886381-0509-4679-b8f4-96d3a290e02e","year":2021},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:32.942506Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:8d034b22d9710edfbdd7281ff89699f317913ba9797a7c47ae8b70ce9820d0e1","observation_id":"95633346-8b10-40e6-95b6-a327e626674e","resolution":{"observed_at":"2026-08-07T10:28:42.973964Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:28:42.637221Z","title":"pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction","venue":null,"work_id":"b5e10520-1a8d-406d-8913-94a30fecd1cd","year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:33.007643Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:e7605195f74cda539a74b210629f80b5409bf590a52482bc70d336174142553a","observation_id":"b2bc1dc3-451c-480c-ae39-c6235635889e","resolution":{"observed_at":"2026-08-07T10:28:42.743049Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:28:42.445779Z","title":"Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images","venue":null,"work_id":"bde367d8-41ac-42fe-ac76-250fcb166b90","year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:33.123811Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:86d57d441e777227d80e7aaadc5c4cc3eb51132bcf1003033d3d132b4ae896e4","observation_id":"a288cb98-5963-4695-9a51-af276e81b633","resolution":{"observed_at":"2026-08-07T10:28:42.536088Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:28:42.273445Z","title":"Depth-regularized optimization for 3d gaussian splatting in few-shot images","venue":null,"work_id":"3f963819-46c4-450b-8bd9-ccf0fdb87ff3","year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:33.246620Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:9a38a09c0db4d3b826a932414f4970bf367c9c01048bc1866d926b4cd4cb8601","observation_id":"77f68c31-beb6-41cc-a243-cb4a24beb6b5","resolution":{"observed_at":"2026-08-07T10:28:42.341971Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:28:42.039010Z","title":"Light- gaussian: Unbounded 3d gaussian compression with 15x reduction and 200+ fps","venue":null,"work_id":"049085b5-5bf4-423b-9feb-6aff13131740","year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:33.384696Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:d33d0254b2198224ff742f632d6d297b888781eef046397981e99585b733beb6","observation_id":"ddc90cc1-c117-4302-8b81-be9862c6fb99","resolution":{"observed_at":"2026-08-07T10:28:42.170993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.01647","last_updated":"2025-08-04T19:36:55Z","snapshot_observed_at":"2026-08-07T16:14:50.795857Z","submitted_at":"2025-04-02T11:57:01Z","title":"FlowR: Flowing from Sparse to Dense 3D Reconstructions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.01647","snapshot_observed_at":"2026-08-07T10:28:33.501416Z","title":"Flowr: Flowing from sparse to dense 3d reconstructions","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:33.501416Z"},"links":{"cited_paper":"/paper/2504.01647","citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:4eef8f3f8de09d4fdf7df68a213e3723f9214eb5e3300471c22c1bb7e10ff639","observation_id":"5aa77eab-078b-4855-bbde-62a3e738cb53","resolution":{"observed_at":"2026-08-07T10:28:33.501416Z","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":"2026-08-07T10:28:41.865692Z","title":"Colmap- free 3d gaussian splatting","venue":null,"work_id":"3b04ea5b-3490-4932-a681-35c057fef1f0","year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:33.647933Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:b644bbf0381a825ad344c79fdbf38c18a480b53432355dcc6d0f48349873d448","observation_id":"7a0ffb2f-c4aa-4943-8b34-65fe7784821d","resolution":{"observed_at":"2026-08-07T10:28:41.924092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:28:33.767215Z","title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:33.767215Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:ce4937bab9da470e75a732b1d580807c8f9d97b38dc1543b2c3e8b3cd470a4c5","observation_id":"d6b2153c-9e8e-4ff5-bce5-03db10b366dc","resolution":{"observed_at":"2026-08-07T10:28:33.767215Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.02245","last_updated":"2026-07-12T18:22:17Z","snapshot_observed_at":"2026-07-16T23:18:30.272482Z","submitted_at":"2024-12-03T08:18:56Z","title":"SparseLGS: Sparse View Language Embedded Gaussian Splatting","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.02245","snapshot_observed_at":"2026-08-07T10:28:33.899439Z","title":"Sparselgs: Sparse view language embedded gaussian splatting","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:33.899439Z"},"links":{"cited_paper":"/paper/2412.02245","citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:bc1e2808b2bb7544b2ea26b854a4633b006228e9eba61c101dd8623b93b53691","observation_id":"0947d703-7627-43bc-80a7-a4651fa5be8b","resolution":{"observed_at":"2026-08-07T10:28:33.899439Z","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":"2026-08-07T10:28:41.688492Z","title":"Collaborative vision-text representation optimizing for open-vocabulary segmentation","venue":null,"work_id":"48dc433d-039f-4af6-9d85-06c4960c968f","year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:34.011985Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:95525870fbcecea88ff0bcef38832c8204df1df320c7e89477b6bc2d0215f997","observation_id":"d128d3d9-3444-4565-9e58-534376a3034c","resolution":{"observed_at":"2026-08-07T10:28:41.761695Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:28:41.545435Z","title":"3d gaussian splatting for real-time radiance field rendering","venue":null,"work_id":"556c996e-3b01-4c90-91f7-974955767ed3","year":2023},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:34.139552Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:2e41b67109e2daa34bb5e61cfef05cbae0dfea30e5010e3ff304bf5c3b3c2af7","observation_id":"b22cc1f4-2b22-4bbc-9fdf-1ff9670ee461","resolution":{"observed_at":"2026-08-07T10:28:41.605219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:28:34.239747Z","title":"Lerf: Language embedded radiance fields","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:34.239747Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:688dd8b05962eb793b88b6344c13db7ab3f036c5af51cd135a4229c818a82fea","observation_id":"cec28421-8ef2-4334-ae42-f9601dcd530b","resolution":{"observed_at":"2026-08-07T10:28:34.239747Z","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":"2026-08-07T10:28:34.352947Z","title":"Auto-encoding variational bayes, 2013","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:34.352947Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:c22d644d2d891f32b2cf1c6bd143c25193b14f58461d3aecb4a97db47ef87538","observation_id":"b4674272-8a7f-4a98-a780-b7acd1cfbe19","resolution":{"observed_at":"2026-08-07T10:28:34.352947Z","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":"2026-08-07T10:28:34.503357Z","title":"Segment anything","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:34.503357Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:4b89e22bb25b59fa2a1cecb852edb1bc2d1b7bc21558ef3877d9af130de3645c","observation_id":"d9f1d5b7-db46-461b-a419-cbf2367e12cf","resolution":{"observed_at":"2026-08-07T10:28:34.503357Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.19235","last_updated":"2025-04-15T13:50:52Z","snapshot_observed_at":"2026-07-06T19:58:35.498502Z","submitted_at":"2024-11-28T16:08:36Z","title":"InstanceGaussian: Appearance-Semantic Joint Gaussian Representation for 3D Instance-Level Perception","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.19235","snapshot_observed_at":"2026-08-07T10:28:34.603447Z","title":"Instancegaussian: Appearance-semantic joint gaussian representation for 3d instance- level perception","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:34.603447Z"},"links":{"cited_paper":"/paper/2411.19235","citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:43af24dd468a9531c8de50d13d0793ea50a824778ed4b09b7585eb934d05295f","observation_id":"c78c91e1-aac6-4389-989a-b38a82df50a9","resolution":{"observed_at":"2026-08-07T10:28:34.603447Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.12535","last_updated":"2025-03-16T14:59:00Z","snapshot_observed_at":"2026-08-07T17:00:29.572299Z","submitted_at":"2025-03-16T14:59:00Z","title":"SPC-GS: Gaussian Splatting with Semantic-Prompt Consistency for Indoor Open-World Free-view Synthesis from Sparse Inputs","version":1},"cited_work":{"arxiv_id":"2503.12535","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.12535","snapshot_observed_at":"2026-08-07T10:28:38.494900Z","title":"SPC-GS: Gaussian Splatting with Semantic-Prompt Consistency for Indoor Open-World Free-view Synthesis from Sparse Inputs","venue":"cs.CV","work_id":"2dcb2cc5-32a5-4e8a-8e09-f95c69c74afa","year":2025},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:34.700706Z"},"links":{"cited_paper":"/paper/2503.12535","citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:c2a20eaeb783579ee6208534765be1a8a2299d96ec5f020ee1e9d4b7fb8bd6a3","observation_id":"b20c9203-e5f4-403b-a9e6-c38bb7552e72","resolution":{"observed_at":"2026-08-07T10:28:38.562186Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:28:41.318221Z","title":"Scaffold- gs: Structured 3d gaussians for view-adaptive rendering","venue":null,"work_id":"edb74846-1c34-43f4-b984-6ab91c1a7a93","year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:34.835423Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:776ba955b34329478924a9a4794a2f71822ae8a5add5660c0879ae8bbb142be8","observation_id":"9dbbb67a-6e92-4222-ae6d-784222bbd41c","resolution":{"observed_at":"2026-08-07T10:28:41.396131Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:28:34.956227Z","title":"Segment then splat: A unified approach for 3d open-vocabulary segmentation based on gaussian splatting","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:34.956227Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:8791426ef37f427d5bd146e36bcaf741a44c462241d76932d1b0d83437fddbf0","observation_id":"38dfd552-0d47-41c3-8da8-9b98b52b1d83","resolution":{"observed_at":"2026-08-07T10:28:34.956227Z","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":"2026-08-07T10:28:41.116240Z","title":"Repaint: Inpainting using denoising diffusion probabilistic models","venue":null,"work_id":"f57f8e31-1dea-4c6c-937f-557a005ce9af","year":2022},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:35.063649Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:3ff907ff526ab0f95e257338593a04bb2141ca499f8b23662e97ddaeeb62eeb4","observation_id":"0ad63ba9-c0ec-45bf-ac93-1e4f3d8488eb","resolution":{"observed_at":"2026-08-07T10:28:41.226044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:28:35.161638Z","title":"Nerf: Representing scenes as neural radiance fields for view synthesis","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:35.161638Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:dd19727313ad8517c9df6a39b4fafbc5443f648ecb9e0af337e132dfe796c5fd","observation_id":"7846948b-5e32-4a76-9b4e-a7448f6dec4e","resolution":{"observed_at":"2026-08-07T10:28:35.161638Z","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":"2026-08-07T10:28:40.849075Z","title":"Coherentgs: Sparse novel view synthesis with coherent 3d gaussians","venue":null,"work_id":"3ded2973-0be0-44d8-8034-30473eefd69a","year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:35.273082Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:bdcb6cb6bc0dc84c4465edd8980fad28c0f8fecd72d4f54ebbb385bd78e76f99","observation_id":"ca5bb1ee-2512-4222-9036-a09acfbab555","resolution":{"observed_at":"2026-08-07T10:28:41.006942Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:28:40.716973Z","title":"Unidepth: Universal monocular metric depth estimation","venue":null,"work_id":"7e01f8d5-176a-4a59-b42b-0cf9fd10d6f9","year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:35.399097Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:d6c56c4ff4d1dd15c481c3c37dc5c5093787e41d56face8bf6cdb9ddc559f107","observation_id":"63c671f3-d211-4df2-b97c-b626a6b48375","resolution":{"observed_at":"2026-08-07T10:28:40.775608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:28:40.576501Z","title":"Langsplat: 3d language gaussian splatting","venue":null,"work_id":"f7a4b2f0-e55d-4577-998c-e90911faad8b","year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:35.523234Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:110a7d781bf85ace8498ddca7daff23b56661000441170f0a65d333bbfbe0da5","observation_id":"fe79e2e3-cba2-4905-b8bb-a8157e2dc7b0","resolution":{"observed_at":"2026-08-07T10:28:40.646721Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.18066","last_updated":"2025-06-30T03:48:34Z","snapshot_observed_at":"2026-08-07T18:34:42.528708Z","submitted_at":"2024-11-27T05:21:34Z","title":"GLS: Geometry-aware 3D Language Gaussian Splatting","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.18066","snapshot_observed_at":"2026-08-07T10:28:35.624756Z","title":"Gls: Geometry-aware 3d language gaussian splatting","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:35.624756Z"},"links":{"cited_paper":"/paper/2411.18066","citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:4d0832831e522999641a2ca3c63915d129d61eadb8640e42799e63edc0746e86","observation_id":"1652f689-32a6-4a68-9bb4-6d90c1337156","resolution":{"observed_at":"2026-08-07T10:28:35.624756Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.01223","last_updated":"2024-04-01T16:31:04Z","snapshot_observed_at":"2026-07-06T17:54:03.923842Z","submitted_at":"2024-04-01T16:31:04Z","title":"Feature Splatting: Language-Driven Physics-Based Scene Synthesis and Editing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.01223","snapshot_observed_at":"2026-08-07T10:28:35.728150Z","title":"Feature splatting: Language-driven physics-based scene synthesis and editing","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:35.728150Z"},"links":{"cited_paper":"/paper/2404.01223","citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:d4277f9fa6610e7305adcb42fd09b2a60a75b2d71935d40ad2b6504b87b930c4","observation_id":"fe0c0710-6de7-4b1c-ab4d-a805bb362fb1","resolution":{"observed_at":"2026-08-07T10:28:35.728150Z","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":"2026-08-07T10:28:40.383632Z","title":"Goi: Find 3d gaussians of interest with an optimizable open-vocabulary semantic-space hyperplane","venue":null,"work_id":"593adca1-2273-4a59-9a2d-9b4908949b97","year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:35.838462Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:455bed74bcbc9f392374687079ca0927ee53a2dd3663efe36f0444bbcd8bf52e","observation_id":"3a89b9bd-0ce7-4c48-8f86-76cc5bc89eec","resolution":{"observed_at":"2026-08-07T10:28:40.486564Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:28:35.946740Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:35.946740Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:8c3ba9b5e055ec74ae315decfd5e6ebcd8f0fc79fa26f138fabd991616510957","observation_id":"2c68b945-809b-482c-a9c9-3f766220adad","resolution":{"observed_at":"2026-08-07T10:28:35.946740Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.00714","last_updated":"2024-10-28T16:37:57Z","snapshot_observed_at":"2026-07-06T18:55:41.459417Z","submitted_at":"2024-08-01T17:00:08Z","title":"SAM 2: Segment Anything in Images and Videos","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.00714","snapshot_observed_at":"2026-08-07T10:28:36.020158Z","title":"Sam 2: Segment anything in images and videos","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:36.020158Z"},"links":{"cited_paper":"/paper/2408.00714","citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:c01a9c5eefc81faed9b7c1f6a030519d4138513b08af0c96d92200468ce233c1","observation_id":"1aed47c0-59d0-4b23-976a-dcfe45a32163","resolution":{"observed_at":"2026-08-07T10:28:36.020158Z","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":"2026-08-07T10:28:36.104369Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:36.104369Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:71c4e1dcbf0b0c2b4e69d71f85512e57e0d2da5ab821f60a5e0fdd3798bebdfc","observation_id":"afc239e3-cb4e-4734-907b-ee8532c59367","resolution":{"observed_at":"2026-08-07T10:28:36.104369Z","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":"2026-08-07T10:28:40.227474Z","title":"Structure-from-motion revisited","venue":null,"work_id":"bf3f5e13-c6cd-42b0-a6c4-bfc4673a6fcc","year":2016},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:36.199838Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:6a780f889eddeab8862c076bc9a637b14fb650e95c446a805b34bfa38ffdb086","observation_id":"86105065-67ba-4894-8a7a-454547177f4f","resolution":{"observed_at":"2026-08-07T10:28:40.280183Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:28:36.279216Z","title":"Aligning and prompting everything all at once for universal visual perception","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:36.279216Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:eb15922e89dca1c59ee63d6c6d5e4aebbe4053171016422bcb03df76d2c94cc2","observation_id":"657ec148-5a94-4f9b-b414-ecb64697720a","resolution":{"observed_at":"2026-08-07T10:28:36.279216Z","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":"2026-08-07T10:28:40.036545Z","title":"Language embedded 3d gaussians for open-vocabulary scene understanding","venue":null,"work_id":"47f88845-8ef7-402c-b6de-662c21671668","year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:36.388672Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:84f01112874b975b93262c7d41312a997fcacad4ba438036969cf34d207b4e49","observation_id":"6b645991-0eaa-4cb3-9b1e-4eba7af52d3b","resolution":{"observed_at":"2026-08-07T10:28:40.127893Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.13912","last_updated":"2024-08-27T19:06:57Z","snapshot_observed_at":"2026-08-05T11:12:55.434512Z","submitted_at":"2024-08-25T18:27:20Z","title":"Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.13912","snapshot_observed_at":"2026-08-07T10:28:36.487357Z","title":"Splatt3r: Zero-shot gaussian splatting from uncalibrated image pairs","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:36.487357Z"},"links":{"cited_paper":"/paper/2408.13912","citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:5d1743ca60a95b3f09f143feed492489158157263cfaf3ca6b44a38989752b31","observation_id":"75056e3c-15b3-448d-992b-4eeac90703de","resolution":{"observed_at":"2026-08-07T10:28:36.487357Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.11893","last_updated":"2025-04-16T09:20:03Z","snapshot_observed_at":"2026-08-07T16:01:53.286327Z","submitted_at":"2025-04-16T09:20:03Z","title":"CAGS: Open-Vocabulary 3D Scene Understanding with Context-Aware Gaussian Splatting","version":1},"cited_work":{"arxiv_id":"2504.11893","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.11893","snapshot_observed_at":"2026-08-07T10:28:38.184491Z","title":"CAGS: Open-Vocabulary 3D Scene Understanding with Context-Aware Gaussian Splatting","venue":"cs.CV","work_id":"ed16ec51-1855-4d90-87ef-5dc5549d9ab6","year":2025},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:36.629583Z"},"links":{"cited_paper":"/paper/2504.11893","citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:61f1c34544799655631639481529bb446995f0517fa6b475e8031d45af47ccfb","observation_id":"f8aa8cc6-2930-4cce-b072-4aaa1c040899","resolution":{"observed_at":"2026-08-07T10:28:38.253806Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:28:39.899704Z","title":"Dust3r: Geometric 3d vision made easy","venue":null,"work_id":"6d6fb5b4-b464-47e2-b176-a5e41c8d91fe","year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:36.734069Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:8a568f7eaeaba0aab405de858865a7c4b37e123f486e9b705e4722c0a2a2143b","observation_id":"36433c65-5db0-46d6-be15-050f396d602a","resolution":{"observed_at":"2026-08-07T10:28:39.944825Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.16932","last_updated":"2024-12-22T09:06:58Z","snapshot_observed_at":"2026-07-06T20:11:42.361400Z","submitted_at":"2024-12-22T09:06:58Z","title":"GSemSplat: Generalizable Semantic 3D Gaussian Splatting from Uncalibrated Image Pairs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.16932","snapshot_observed_at":"2026-08-07T10:28:36.790633Z","title":"Gsemsplat: Generalizable semantic 3d gaussian splatting from uncalibrated image pairs","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:36.790633Z"},"links":{"cited_paper":"/paper/2412.16932","citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:6b33ca0b3719fed581ec37d143176b8be923215bc7a1261f4c9ba36adf5c0546","observation_id":"e4047b51-e0b2-4d01-a722-b77b76f4c0dd","resolution":{"observed_at":"2026-08-07T10:28:36.790633Z","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":"2026-08-07T10:28:39.750914Z","title":"Motionctrl: A unified and flexible motion controller for video generation","venue":null,"work_id":"edcb0b26-6762-4b4f-ade0-bfa854682080","year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:36.855276Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:bda2902e41e9e86e32eb6c3869c7baede258771d6efa70b3e714b290ab1c5874","observation_id":"81d1da72-3dd5-43de-a8c8-885a261f959f","resolution":{"observed_at":"2026-08-07T10:28:39.817880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02058","last_updated":"2024-12-06T14:49:23Z","snapshot_observed_at":"2026-08-07T21:29:07.865625Z","submitted_at":"2024-06-04T07:42:33Z","title":"OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02058","snapshot_observed_at":"2026-08-07T10:28:36.913420Z","title":"Opengaussian: Towards point-level 3d gaussian-based open vocabulary understanding","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:36.913420Z"},"links":{"cited_paper":"/paper/2406.02058","citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:af2b8f4913b4af454a9896635ceabe6f09dc4c2ef8e51b632e62117698771881","observation_id":"e2630a4b-21cc-471d-b624-93170b48f996","resolution":{"observed_at":"2026-08-07T10:28:36.913420Z","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":"2026-08-07T10:28:39.615168Z","title":"Smartbrush: Text and shape guided object inpainting with diffusion model","venue":null,"work_id":"dd587c95-31fc-4dcd-b696-d3741e8ba5c4","year":2023},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:36.995911Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:ffc6a445cf0f16473c6157c5ff66c892c9b79393b273e3b48fa5c8c53e9ec30b","observation_id":"ad236422-1a28-41c1-9c77-25f626549656","resolution":{"observed_at":"2026-08-07T10:28:39.676439Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00206","last_updated":"2026-06-23T19:23:37Z","snapshot_observed_at":"2026-07-06T16:55:20.926830Z","submitted_at":"2023-11-30T21:38:22Z","title":"SparseGS: Sparse View Synthesis using 3D Gaussian Splatting","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00206","snapshot_observed_at":"2026-08-07T10:28:37.052806Z","title":"Sparsegs: Real-time 360 {\\deg} sparse view synthesis using gaussian splatting","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:37.052806Z"},"links":{"cited_paper":"/paper/2312.00206","citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:3a3349f86a61063316ca91f34b78484292e6ea0b3cec0a5cc2401c7cbd0887b0","observation_id":"0b366d5d-3b8a-4023-ac90-bb1c97b8c4f8","resolution":{"observed_at":"2026-08-07T10:28:37.052806Z","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":"2026-08-07T10:28:39.439816Z","title":"Open-vocabulary panoptic segmentation with text-to-image diffusion models","venue":null,"work_id":"cc3f1793-c07e-41a5-a025-7030901d8b70","year":2023},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:37.124899Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:ede0dc6c756f7399f682d3dde1351f925b8766b53a385f3e81bcdd1c4aaf79e0","observation_id":"24139231-382e-4f2b-912d-0a760f67b8f9","resolution":{"observed_at":"2026-08-07T10:28:39.511752Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:28:37.200876Z","title":"Depth anything: Unleashing the power of large-scale unlabeled data","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:37.200876Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:771fee7024b93a654091ac6e294d4ee4a616bd5d837b3dc0b65bae81a972bc15","observation_id":"454a6def-529f-457b-98c5-246b33523149","resolution":{"observed_at":"2026-08-07T10:28:37.200876Z","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":"2026-08-07T10:28:39.293701Z","title":"Depth anything v2","venue":null,"work_id":"58552bf9-6d95-4da4-b6e9-e295d8fa1f8b","year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:37.299105Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:8c1786bdcc2c5849251cfef9340e33fecba7b5b44654c68a25c2c712ae59337a","observation_id":"bb5849d1-cd3d-4b7a-a822-2be6e3a80222","resolution":{"observed_at":"2026-08-07T10:28:39.369478Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:28:39.171517Z","title":"Gaussian grouping: Segment and edit anything in 3d scenes","venue":null,"work_id":"42483645-ab2b-40f3-a0aa-2c43a2899d03","year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:37.380733Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:37805458a5f150ba095d957a0e706578f51c7f388d70113916583ce39e105bd3","observation_id":"3df1c154-60b4-4bd3-b718-ca71c70f3d2e","resolution":{"observed_at":"2026-08-07T10:28:39.239256Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:28:37.437714Z","title":"Scannet++: A high-fidelity dataset of 3d indoor scenes","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:37.437714Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:c1164406b3202483f4d54b2b9f46e1a7d866329f315ea80e4550a116f71e0f5b","observation_id":"dd4a15d9-c429-4a28-a52b-c1ea5bcd0a49","resolution":{"observed_at":"2026-08-07T10:28:37.437714Z","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":"2026-08-07T10:28:39.021309Z","title":"Convolutions die hard: Open-vocabulary segmentation with single frozen convolutional clip","venue":null,"work_id":"366d850b-2f9b-4449-8a4d-fd3d01e4d9dc","year":2023},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:37.554114Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:98106a9831de3acd59b329799530e0a5618152d3aab10577a3d36b6513e4ffd2","observation_id":"44cf6c52-733e-4f0e-9717-77f5627a1e02","resolution":{"observed_at":"2026-08-07T10:28:39.075507Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.02048","last_updated":"2024-09-03T16:53:19Z","snapshot_observed_at":"2026-07-06T19:09:55.393720Z","submitted_at":"2024-09-03T16:53:19Z","title":"ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.02048","snapshot_observed_at":"2026-08-07T10:28:37.617975Z","title":"Viewcrafter: Taming video diffusion models for high-fidelity novel view synthesis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:37.617975Z"},"links":{"cited_paper":"/paper/2409.02048","citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:2fbe0fa345f8a2042ce3de13b7799e3659e2b6f3ef5d6e595ad4aa4f08fcc40f","observation_id":"9fc5a2d4-218d-4ee2-826f-9ebb75b30a53","resolution":{"observed_at":"2026-08-07T10:28:37.617975Z","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":"2026-08-07T10:28:38.868840Z","title":"Mip-splatting: Alias-free 3d gaussian splatting","venue":null,"work_id":"b77e6241-aa71-4d9d-8758-cf361df85e99","year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:37.714133Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:1ba7f0d908c0707cd6ed0d2a4eaa040a70cd458cd6deef9f5ab5ea4e342b20f6","observation_id":"4c0cfe35-0737-4dba-a413-332799e2ddbf","resolution":{"observed_at":"2026-08-07T10:28:38.940202Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.11464","last_updated":"2025-03-12T08:04:32Z","snapshot_observed_at":"2026-08-04T14:34:36.625132Z","submitted_at":"2024-12-16T05:44:45Z","title":"High-Quality Mask Tuning Matters for Open-Vocabulary Segmentation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.11464","snapshot_observed_at":"2026-08-07T10:28:37.821148Z","title":"Maskclip++: A mask-based clip fine-tuning framework for open-vocabulary image segmentation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:37.821148Z"},"links":{"cited_paper":"/paper/2412.11464","citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:fcaedb3720d6871d47ddb887e94be246bd60e819e5974dd87fc8931bdccc2475","observation_id":"2a915d02-ca83-4ae1-9cce-12ebabc87f95","resolution":{"observed_at":"2026-08-07T10:28:37.821148Z","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":"2026-08-07T10:28:37.900835Z","title":"Adding conditional control to text-to-image diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:37.900835Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:34588d555cafedd07a4bf6af866633a7498957fee86ddee7a7c5ebd5dade0474","observation_id":"f14cc29e-590d-4927-adf4-c848984852d1","resolution":{"observed_at":"2026-08-07T10:28:37.900835Z","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":"2026-08-07T10:28:38.688974Z","title":"Fsgs: Real-time few-shot view synthesis using gaussian splatting","venue":null,"work_id":"5d96fa63-bb69-409d-8bec-0b7db1e8a3cb","year":2024},"citing_paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T10:28:38.007514Z"},"links":{"citing_paper":"/paper/2506.05204"},"observation_digest":"sha256:e8bf8a4e321ec5e7450bce672795317c16a9b85be63f102d3095505890711281","observation_id":"068a5235-b3d0-454d-9c84-ce47caedc913","resolution":{"observed_at":"2026-08-07T10:28:38.763406Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.05204","last_updated":"2025-06-05T16:17:18Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T21:30:23.398859Z","submitted_at":"2025-06-05T16:17:18Z","title":"OGGSplat: Open Gaussian Growing for Generalizable Reconstruction with Expanded Field-of-View"},"reference_resolution":{"displayed":52,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":24,"verified_exact":2,"verified_fuzzy":26},"total_outbound_references":52},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2506.05204."}