{"as_of":"2026-08-19T18:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b8481963ba610bfc0e440bf2084159394438a1fe04057bf82ae1f2e25411e679","coverage":[{"denominator":50,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":50,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T23:44:12.238761Z","state":"measured"},{"denominator":50,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":50,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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/2505.04659/citation-record","integrity":"/paper/2505.04659/integrity","json":"/paper/2505.04659/citation-record.json","paper":"/paper/2505.04659"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.15676","last_updated":"2026-06-01T14:59:35Z","snapshot_observed_at":"2026-08-16T14:49:25.586477Z","submitted_at":"2023-10-24T09:39:05Z","title":"Recent Advances in Multi-modal 3D Intelligence: A Comprehensive Survey and Evaluation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15676","snapshot_observed_at":"2026-08-15T23:44:11.979747Z","title":"Recent advances in multi-modal 3d scene understanding: A comprehensive survey and evaluation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:11.979747Z"},"links":{"cited_paper":"/paper/2310.15676","citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:aff010d4e18e06e2d713085fe3d4804739b706811469cbe1594e2396407df725","observation_id":"aaf6b828-253f-4398-91fd-887bd99e362b","resolution":{"observed_at":"2026-08-15T23:44:11.979747Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.05423","last_updated":"2024-09-17T02:48:38Z","snapshot_observed_at":"2026-08-16T18:40:11.565771Z","submitted_at":"2021-03-09T13:58:35Z","title":"Deep Learning Based 3D Segmentation: A Survey","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.05423","snapshot_observed_at":"2026-08-15T23:44:11.987490Z","title":"Deep learning based 3d segmentation: A survey,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:11.987490Z"},"links":{"cited_paper":"/paper/2103.05423","citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:a6b761adf881b7a20dc8db4bac86934787bd8c4c3f5db4bc72ed425d78b6a18e","observation_id":"24c2e416-847e-4bda-ba9a-6dc8a037c5fa","resolution":{"observed_at":"2026-08-15T23:44:11.987490Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.11141","last_updated":"2024-02-17T00:15:09Z","snapshot_observed_at":"2026-08-19T11:00:22.393447Z","submitted_at":"2024-02-17T00:15:09Z","title":"Semantically-aware Neural Radiance Fields for Visual Scene Understanding: A Comprehensive Review","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.11141","snapshot_observed_at":"2026-08-15T23:44:11.993273Z","title":"Semantically-aware neural radiance fields for vi- sual scene understanding: A comprehensive review,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:11.993273Z"},"links":{"cited_paper":"/paper/2402.11141","citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:a86a110f7b2af61f98aa6891ad7517ac5a6b50a7df89eb7e69284f077597d2f6","observation_id":"deaea7d0-8259-4b8a-8542-92a893cf6982","resolution":{"observed_at":"2026-08-15T23:44:11.993273Z","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":"2026-08-15T23:44:11.999853Z","title":"Nerf: Representing scenes as neural radiance fields for view synthesis,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:11.999853Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:9e7f776afe1ecabe90632aed041cd13d61bcf0e7a91e54a3f395f399851a0b25","observation_id":"1a8aae69-e039-439e-95df-24b1881aff7c","resolution":{"observed_at":"2026-08-15T23:44:11.999853Z","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":"2026-08-15T23:44:12.005591Z","title":"In-place scene labelling and understanding with implicit scene representation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.005591Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:d71193ca3d4bffc43e5a99c7c2bec8b850d2caf8dc95a13d7869971eaf94f052","observation_id":"4a6843d1-0dd6-4c38-84c5-5e4e96871303","resolution":{"observed_at":"2026-08-15T23:44:12.005591Z","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":"2026-08-15T23:44:12.010606Z","title":"3d gaussian splatting for real-time radiance field rendering","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.010606Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:4454ce7c4959d5117cfb2e2bb66a7abba9dd29ab5376b95430e88306ffb9ea2c","observation_id":"eed7406b-a75b-4072-bac8-c3ffb2d38d17","resolution":{"observed_at":"2026-08-15T23:44:12.010606Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.03890","last_updated":"2026-04-09T05:33:48Z","snapshot_observed_at":"2026-08-09T09:22:22.467803Z","submitted_at":"2024-01-08T13:42:59Z","title":"A Survey on 3D Gaussian Splatting","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.03890","snapshot_observed_at":"2026-08-15T23:44:12.016034Z","title":"A survey on 3d gaussian splatting,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.016034Z"},"links":{"cited_paper":"/paper/2401.03890","citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:8b757bff75292dc7c15fc68d044f11d14b5e6bf5269949eaf0bcfc321e484693","observation_id":"4abfe2e8-52bb-42b8-9121-eb2d9e11e008","resolution":{"observed_at":"2026-08-15T23:44:12.016034Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.15624","last_updated":"2024-08-23T06:44:36Z","snapshot_observed_at":"2026-08-16T14:07:12.477965Z","submitted_at":"2024-03-22T21:28:19Z","title":"Semantic Gaussians: Open-Vocabulary Scene Understanding with 3D Gaussian Splatting","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.15624","snapshot_observed_at":"2026-08-15T23:44:12.021718Z","title":"Semantic gaussians: Open-vocabulary scene understanding with 3d gaussian splatting,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.021718Z"},"links":{"cited_paper":"/paper/2403.15624","citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:98b627d6a350273f6b829724742547d02a6c19391508a9ad85f240c330246043","observation_id":"99fcd22e-97f1-4b67-81fa-09fd86b9cc38","resolution":{"observed_at":"2026-08-15T23:44:12.021718Z","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":"2026-08-15T23:44:13.009947Z","title":"Semantic ray: Learning a generalizable semantic field with cross-reprojection attention,","venue":null,"work_id":"8b1cda6b-bf2e-4ea5-87c9-416c953398a5","year":2023},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.030369Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:f57c05e1b68afe8335aff9393b8c8de95834188edec384049d8ac303bb27587a","observation_id":"7d256266-083b-4139-ab78-704b9a6c3b77","resolution":{"observed_at":"2026-08-15T23:44:13.014923Z","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":"2026-08-15T23:44:12.992924Z","title":"Gnesf: Generalizable neural semantic fields,","venue":null,"work_id":"95663a07-5392-4d11-8343-a514b839df92","year":2023},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.035313Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:cdf053d1a66329f9cb5556ca54e8fa5b8f1d8a0a1713a09521bdd3c4fb3d0cc2","observation_id":"44b66fba-c3ee-4a96-ae3b-deaf46198dbd","resolution":{"observed_at":"2026-08-15T23:44:12.998143Z","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":"2026-08-15T23:44:12.976441Z","title":"Gsnerf: Gen- eralizable semantic neural radiance fields with enhanced 3d scene un- derstanding,","venue":null,"work_id":"3701c673-53e7-4e51-b857-2ad528c32ece","year":2024},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.040324Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:68ca2567c946efac30c74a8f5ae54c826304029085c3bfd5c4730ffe36f5fa11","observation_id":"55656bd5-f34a-4419-94e4-14d2807fa403","resolution":{"observed_at":"2026-08-15T23:44:12.981762Z","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":"2405.18033","last_updated":"2024-08-30T16:14:57Z","snapshot_observed_at":"2026-08-17T07:18:59.984202Z","submitted_at":"2024-05-28T10:34:28Z","title":"RT-GS2: Real-Time Generalizable Semantic Segmentation for 3D Gaussian Representations of Radiance Fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.18033","snapshot_observed_at":"2026-08-15T23:44:12.045908Z","title":"Rt-gs2: Real-time generalizable semantic segmentation for 3d gaussian representations of radiance fields,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.045908Z"},"links":{"cited_paper":"/paper/2405.18033","citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:31c5283729fa0589aaf90ac7536af312b3bd663e6c3ac95a687b35dacaa42760","observation_id":"f8f631aa-5ada-446b-abbe-fd0c73981482","resolution":{"observed_at":"2026-08-15T23:44:12.045908Z","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":"2026-08-15T23:44:12.959150Z","title":"Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images,","venue":null,"work_id":"f7b81951-f8a0-493c-bdf1-a20ab91056df","year":2025},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.051195Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:5465a5bda54543c76812ed6396285edb65006ebc548c20d1f4b38d74a257d428","observation_id":"a7d7aa02-6c4a-4773-9092-9012d70abfe3","resolution":{"observed_at":"2026-08-15T23:44:12.965264Z","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":"2026-08-15T23:44:12.941187Z","title":"Georgs: Geomet- ric regularization for real-time novel view synthesis from sparse inputs,","venue":null,"work_id":"9a066401-ca4c-49d8-859a-f2df565eca44","year":2024},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.056237Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:0b81f65c9b5464473e38b46351deeee349f2f0dc6930f7b5e17a051eaeea16d5","observation_id":"decc70c3-4562-46b9-95e9-27d03303a3e7","resolution":{"observed_at":"2026-08-15T23:44:12.947263Z","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":"2026-08-15T23:44:12.924279Z","title":"Depth- guided robust point cloud fusion nerf for sparse input views,","venue":null,"work_id":"e7b97c72-72a4-4d55-86d0-c6e9b3d8fd8d","year":2024},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.061451Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:8059f785c19e6f4f1720283df24fd4454c896227a49db2062583305151e9b7a2","observation_id":"a50efbd4-428a-425b-bb21-9bfb02599123","resolution":{"observed_at":"2026-08-15T23:44:12.929340Z","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":"2026-08-15T23:44:12.907551Z","title":"Fsgs: Real-time few-shot view synthesis using gaussian splatting,","venue":null,"work_id":"d02cd359-a6ca-4a39-b696-b5a50e2791b1","year":2025},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.066851Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:bf6b685448629198bd4f0770707acc2e9e1afff42e1f093c4346dc5b230c4fe6","observation_id":"3ed047c8-72d9-4999-bd42-df976926c756","resolution":{"observed_at":"2026-08-15T23:44:12.912639Z","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":"2026-08-15T23:44:12.890651Z","title":"A multi-task network for multi- view stereo reconstruction: When semantic consistency based clustering meets depth estimation optimization,","venue":null,"work_id":"f6db5c94-22b9-4ab6-8267-c213ec841458","year":2024},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.071501Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:0a2eb6445ecd09aa825bbf080bcc465f2729d765ec779d03c208b8ce60463e0a","observation_id":"ea6a21f9-8007-4648-88da-bf77d119a47f","resolution":{"observed_at":"2026-08-15T23:44:12.896035Z","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":"2111.13260","last_updated":"2021-12-03T03:13:29Z","snapshot_observed_at":"2026-08-16T20:05:22.692399Z","submitted_at":"2021-11-25T21:44:54Z","title":"NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.13260","snapshot_observed_at":"2026-08-15T23:44:12.076717Z","title":"Nesf: Neural semantic fields for generalizable semantic segmentation of 3d scenes,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.076717Z"},"links":{"cited_paper":"/paper/2111.13260","citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:42ad3ef1f24e091da284a9c23904c31d668cbea8c4beb893f4aee390cb3abf06","observation_id":"a022c495-6d1f-43e7-8a30-22a8d6620a32","resolution":{"observed_at":"2026-08-15T23:44:12.076717Z","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":"2026-08-15T23:44:12.873591Z","title":"Panoptic nerf: 3d-to-2d label transfer for panoptic urban scene segmentation,","venue":null,"work_id":"95e24018-af09-4835-8751-b195482d2821","year":2022},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.082123Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:ae0d55561bd747483c0576cc94a7123da6d6698b31528f82bf4888967be79c12","observation_id":"05d8af59-68c7-44c9-a4be-d542d74c3513","resolution":{"observed_at":"2026-08-15T23:44:12.878567Z","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":"2305.10503","last_updated":"2023-09-29T02:36:03Z","snapshot_observed_at":"2026-08-16T15:32:14.355782Z","submitted_at":"2023-05-17T18:18:05Z","title":"OR-NeRF: Object Removing from 3D Scenes Guided by Multiview Segmentation with Neural Radiance Fields","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.10503","snapshot_observed_at":"2026-08-15T23:44:12.086788Z","title":"Or-nerf: Object removing from 3d scenes guided by multiview segmentation with neural radiance fields,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.086788Z"},"links":{"cited_paper":"/paper/2305.10503","citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:244c4a0ce084ee675f86fe600d90e3fc410e78522f39671e2e14b351d81b220d","observation_id":"fba14a4b-6297-4f04-a8cb-c5398a9cf681","resolution":{"observed_at":"2026-08-15T23:44:12.086788Z","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":"2026-08-15T23:44:12.092188Z","title":"Lerf: Language embedded radiance fields,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.092188Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:49d995eaff2023ed4967bfe8fd0a138edc24b1a89fa7776a1e5bdfc3e2b473c5","observation_id":"b5bc6a58-2ab9-47c0-b4bb-7ccac0bdb8c0","resolution":{"observed_at":"2026-08-15T23:44:12.092188Z","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":"2026-08-15T23:44:12.847803Z","title":"Open-nerf: Towards open vocabulary nerf decomposition,","venue":null,"work_id":"c7ea0d86-a401-401b-96a0-d4491d09a935","year":2024},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.097115Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:1f4cb1b6cd5106f8b6fdad49bf352919eee460083c3b961164053a57b2d925b5","observation_id":"348a56fc-62a3-4221-ba0d-69cbf70c209b","resolution":{"observed_at":"2026-08-15T23:44:12.852878Z","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":"2026-08-15T23:44:12.825473Z","title":"Gov-nesf: Generalizable open- vocabulary neural semantic fields,","venue":null,"work_id":"f8601cb0-0098-4e85-b7c2-09303e33738f","year":2024},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.102082Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:31cd8306f743bc835878a9a612cbb82d19d02ee1522c65819d736531c78474f2","observation_id":"773e1930-b622-4003-b4b4-6b98812bfb20","resolution":{"observed_at":"2026-08-15T23:44:12.835810Z","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":"2026-08-15T23:44:12.808446Z","title":"Ov-nerf: Open-vocabulary neural radiance fields with vision and language foundation models for 3d semantic understanding,","venue":null,"work_id":"db2edee2-cfeb-4698-bcad-35799ea65a3e","year":2024},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.106834Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:fff1bc3ddeb1c76cab321b661a60fe6780deec3ab7b96e65b62c91819dde6c9a","observation_id":"326bd5f1-5fcd-44d1-bd3b-3b47e31e024b","resolution":{"observed_at":"2026-08-15T23:44:12.814096Z","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":"2026-08-15T23:44:12.111489Z","title":"Recent advances in 3d gaussian splatting,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.111489Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:4019cc55dbd883cea320dbfb76646ede668290c2ff8ef698ecf1752f1bc576f5","observation_id":"bd2e7e52-8850-4b57-9112-2ab09e56e8bf","resolution":{"observed_at":"2026-08-15T23:44:12.111489Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00732","last_updated":"2024-07-08T14:11:51Z","snapshot_observed_at":"2026-08-19T15:13:28.718701Z","submitted_at":"2023-12-01T17:09:31Z","title":"Gaussian Grouping: Segment and Edit Anything in 3D Scenes","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00732","snapshot_observed_at":"2026-08-15T23:44:12.116790Z","title":"Gaussian grouping: Segment and edit anything in 3d scenes,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.116790Z"},"links":{"cited_paper":"/paper/2312.00732","citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:5b4d993d9a2d71f65e0bcc847e84a962719d37b26cbc09c2fa472e6165db4213","observation_id":"611fcac1-3dd4-4e56-b67a-a7ba73da0e25","resolution":{"observed_at":"2026-08-15T23:44:12.116790Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.16047","last_updated":"2023-12-26T13:28:21Z","snapshot_observed_at":"2026-08-18T23:37:35.312885Z","submitted_at":"2023-12-26T13:28:21Z","title":"2D-Guided 3D Gaussian Segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.16047","snapshot_observed_at":"2026-08-15T23:44:12.122115Z","title":"2d-guided 3d gaussian segmentation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.122115Z"},"links":{"cited_paper":"/paper/2312.16047","citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:38231d9fd1df070e81d3f40c2cbe6ba2bfb5364abaa7b2ec12171f1e4aa0766a","observation_id":"eb99c143-050b-416a-9793-c6c12b1f0cd3","resolution":{"observed_at":"2026-08-15T23:44:12.122115Z","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":"2026-08-15T23:44:12.780144Z","title":"Language embedded 3d gaussians for open-vocabulary scene understanding,","venue":null,"work_id":"22b40898-4e26-4355-bbb3-6bd99a76ed8c","year":2024},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.127025Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:a965dae8315db72bb4243c1ce6cae4002f82a45840834bc45bc1049407ac0718","observation_id":"57b82851-f7be-4d0f-b61b-dc41e9e8c8a8","resolution":{"observed_at":"2026-08-15T23:44:12.785771Z","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":"2026-08-15T23:44:12.131939Z","title":"Feature 3dgs: Supercharging 3d gaussian splatting to enable distilled feature fields,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.131939Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:6b7616fee8e39cd3547a9a7a502c7b1c0fe7cf80ed335c48757a44fc6ae3566e","observation_id":"425cc760-f920-461a-8ba1-1594004a1ccc","resolution":{"observed_at":"2026-08-15T23:44:12.131939Z","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":"2026-08-15T23:44:12.136577Z","title":"Langsplat: 3d language gaussian splatting,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.136577Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:b28347be921d0008eab650ed1ef52232989aa7337b3f58c6431c4120abb67269","observation_id":"8b04c745-c266-44cb-a514-09055bd835c0","resolution":{"observed_at":"2026-08-15T23:44:12.136577Z","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":"2026-08-15T23:44:12.141380Z","title":"Segment anything,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.141380Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:97238c01a02c0b4c329626f62b9873ca3e59d347ab43680947016d1a67e6c3aa","observation_id":"6d74bc15-9938-4a2c-a80c-aaffd047205b","resolution":{"observed_at":"2026-08-15T23:44:12.141380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02058","last_updated":"2024-12-06T14:49:23Z","snapshot_observed_at":"2026-08-18T18:48:12.178574Z","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":"2026-08-15T23:44:12.145982Z","title":"Opengaussian: Towards point- level 3d gaussian-based open vocabulary understanding,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.145982Z"},"links":{"cited_paper":"/paper/2406.02058","citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:9d6053fae30503e9e42fe12c3a70b011eed0c0d7fccb845ad75b4e1d74ee550f","observation_id":"3abd38d8-ca0b-453e-80f1-61f7c417490a","resolution":{"observed_at":"2026-08-15T23:44:12.145982Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.17418","last_updated":"2024-12-17T05:15:54Z","snapshot_observed_at":"2026-08-16T13:31:21.305629Z","submitted_at":"2024-07-24T16:53:17Z","title":"3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.17418","snapshot_observed_at":"2026-08-15T23:44:12.150807Z","title":"3d gaussian splatting: Survey, technologies, challenges, and opportunities,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.150807Z"},"links":{"cited_paper":"/paper/2407.17418","citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:01facdc71ea00706c376c17effa52be86509854683dc1c8bf1f4511642d41f10","observation_id":"cb00ad14-16ea-426e-8eac-e5f42f4c7f26","resolution":{"observed_at":"2026-08-15T23:44:12.150807Z","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":"2026-08-15T23:44:12.729211Z","title":"pixelnerf: Neural radiance fields from one or few images,","venue":null,"work_id":"a3c72d8a-3511-40c8-a33a-cfbe072dd8e2","year":2021},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.155615Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:ebf6f56e03df3f16c06924edb71a6cf774534c80f3ecd907848923b9d62f38da","observation_id":"d9af707c-dd24-4edc-9918-86f475f73cd3","resolution":{"observed_at":"2026-08-15T23:44:12.734372Z","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":"2026-08-15T23:44:12.710857Z","title":"Featurenerf: Learning generalizable nerfs by distilling foundation models,","venue":null,"work_id":"3697ca0e-4f1a-4db5-8fe4-40e9646480dd","year":2023},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.160355Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:be81727fd98b6caf920616d2e29d144e80000b911799f55b20eddbbd915a15b9","observation_id":"e49509bd-6a73-4a6f-875d-bcee35412083","resolution":{"observed_at":"2026-08-15T23:44:12.717247Z","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":"2308.13897","last_updated":"2024-03-24T05:20:15Z","snapshot_observed_at":"2026-08-16T15:05:35.498142Z","submitted_at":"2023-08-26T14:50:24Z","title":"InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules","version":2},"cited_work":{"arxiv_id":"2308.13897","doi":null,"metadata_source":"pith","pith_arxiv_id":"2308.13897","snapshot_observed_at":"2026-08-15T23:44:12.348758Z","title":"InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules","venue":"cs.CV","work_id":"3ecc1aa2-d9d1-4a60-b4ea-bd6406ddf59b","year":2023},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.165192Z"},"links":{"cited_paper":"/paper/2308.13897","citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:546a2a8582eb65e5f5ba75cf39b652392ebf7bf4db2f647334f2719045a2468a","observation_id":"c6df6be3-8600-4f7c-bd2c-2197856c15dd","resolution":{"observed_at":"2026-08-15T23:44:12.355752Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:44:12.170363Z","title":"Hybrid-mvs: Robust multi-view reconstruction with hybrid optimization of visual and depth cues,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.170363Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:e71099a8ceb95a995bdfd2d6a3491a22a4f0c7a50d3267149b35b0ed5bf1a7af","observation_id":"a81fbe79-82da-45f0-89ac-de90dc91d21b","resolution":{"observed_at":"2026-08-15T23:44:12.170363Z","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":"2026-08-15T23:44:12.681615Z","title":"Robustmvs: Single domain generalized deep multi-view stereo,","venue":null,"work_id":"8a8051fb-7d33-4463-b9e1-28b739d8b868","year":2024},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.175071Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:fdc7714e95a3579ac4491970f193e1267f605cb06ab9fa516f041ada3d475c81","observation_id":"5c094fe1-6900-4b12-ac50-59373be8ae44","resolution":{"observed_at":"2026-08-15T23:44:12.686649Z","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":"2026-08-15T23:44:12.179929Z","title":"pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d recon- struction,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.179929Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:3603e5ea8c54ff3d722cd9a95f5127485a028d2283ede31d1fd79fa1a72210a8","observation_id":"b0df5fc4-e0e3-4a42-ba44-362331f641f8","resolution":{"observed_at":"2026-08-15T23:44:12.179929Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.16292","last_updated":"2024-07-30T12:12:00Z","snapshot_observed_at":"2026-08-16T14:06:53.696185Z","submitted_at":"2024-03-24T20:48:36Z","title":"latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.16292","snapshot_observed_at":"2026-08-15T23:44:12.184561Z","title":"latentsplat: Autoencoding variational gaussians for fast generalizable 3d reconstruc- tion,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.184561Z"},"links":{"cited_paper":"/paper/2403.16292","citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:71a04f030dba455648442144f14bd99042160cd86619c3ae9b7ab20d50e81a3d","observation_id":"4214237c-f870-47ca-a3a1-c3ad138a3e1b","resolution":{"observed_at":"2026-08-15T23:44:12.184561Z","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":"2026-08-15T23:44:12.653136Z","title":"Gaussian splatting: 3d reconstruction and novel view synthesis, a review,","venue":null,"work_id":"024e9b91-cc3e-409f-b615-f2f641fa6005","year":2024},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.190032Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:b15b047382ea5e5efc73f530b7854ec51fb386ac6d18fe8ab3e0db3d7b6c68b8","observation_id":"551da39a-8572-4fc7-8364-fe06c66310af","resolution":{"observed_at":"2026-08-15T23:44:12.658483Z","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":"2406.04343","last_updated":"2025-06-01T06:23:12Z","snapshot_observed_at":"2026-08-18T09:49:17.163809Z","submitted_at":"2024-06-06T17:59:56Z","title":"Flash3D: Feed-Forward Generalisable 3D Scene Reconstruction from a Single Image","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04343","snapshot_observed_at":"2026-08-15T23:44:12.195269Z","title":"Flash3d: Feed-forward gener- alisable 3d scene reconstruction from a single image,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.195269Z"},"links":{"cited_paper":"/paper/2406.04343","citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:f88f464ecff5d16295a9ad4a70110ef3462b4150f2c8c54d2728329224eebb51","observation_id":"db2c7fbe-1618-49d9-9720-52a3160fc8df","resolution":{"observed_at":"2026-08-15T23:44:12.195269Z","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":"2026-08-15T23:44:12.634814Z","title":"Cascade cost volume for high-resolution multi-view stereo and stereo matching,","venue":null,"work_id":"ffc382da-1070-44cc-9a26-6d471f83bb4d","year":2020},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.200651Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:fafc0506dc5691ad42f7279e6589e4fa9e6152da19e5707cd4c3e3060ecd8f96","observation_id":"27d23e8e-23f0-40c7-a317-ba3ebe353376","resolution":{"observed_at":"2026-08-15T23:44:12.640413Z","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":"2026-08-15T23:44:12.205709Z","title":"Neural rays for occlusion-aware image-based rendering,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.205709Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:4fa43a67932faecdfdad52af3cd73c993e6e655321f2b5df759c3d7cdb22ae4f","observation_id":"51c07a56-c781-4166-b500-a46db17feeb7","resolution":{"observed_at":"2026-08-15T23:44:12.205709Z","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":"2026-08-15T23:44:12.606651Z","title":"Geonerf: Generalizing nerf with geometry priors,","venue":null,"work_id":"dbb49158-5e95-43bf-b915-261b8c7f781e","year":2022},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.211127Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:0291ee8ed5e36bcfd9750faff76fb04dd954456e1ace80a9d7c6612087861eea","observation_id":"5a9ed919-b799-497f-bba0-59422cc930b6","resolution":{"observed_at":"2026-08-15T23:44:12.611798Z","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":"2026-08-15T23:44:12.216404Z","title":"Scannet: Richly-annotated 3d reconstructions of indoor scenes,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.216404Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:05912e010e524a7a7a30c1f756a1ae497d209f1cb68a7238c7de1a78bd231475","observation_id":"5560618e-863a-41e1-b8c9-a9aeedaf2713","resolution":{"observed_at":"2026-08-15T23:44:12.216404Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.05797","last_updated":"2019-06-13T16:29:58Z","snapshot_observed_at":"2026-08-16T20:27:41.336890Z","submitted_at":"2019-06-13T16:29:58Z","title":"The Replica Dataset: A Digital Replica of Indoor Spaces","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.05797","snapshot_observed_at":"2026-08-15T23:44:12.222739Z","title":"The replica dataset: A digital replica of indoor spaces,","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.222739Z"},"links":{"cited_paper":"/paper/1906.05797","citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:b6b75ae2ea2f4204f4d265e382075761a095883bb6be09eee8de344a5c3d575a","observation_id":"384e3170-a772-4e49-96ee-4bdbb2d3175b","resolution":{"observed_at":"2026-08-15T23:44:12.222739Z","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":"2026-08-15T23:44:12.228499Z","title":"Image quality assessment: from error visibility to structural similarity,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.228499Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:8f45b02a2d647ff3fa6d7f122407386ef843ea84123765c76b150deae6b3d98b","observation_id":"9f520a42-f94b-439d-91d0-84c566f245a6","resolution":{"observed_at":"2026-08-15T23:44:12.228499Z","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":"2026-08-15T23:44:12.233549Z","title":"The unreasonable effectiveness of deep features as a perceptual metric,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.233549Z"},"links":{"citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:66601a8eda2b3142192d10ff447fb2e6c8503d37ee2984aff5b12627ee4ec454","observation_id":"abad7878-2aa1-4155-abc9-12c88b9072e6","resolution":{"observed_at":"2026-08-15T23:44:12.233549Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2026-08-15T23:44:12.238761Z","title":"Adam: A method for stochastic optimization,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-15T23:44:12.238761Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2505.04659"},"observation_digest":"sha256:dd95443066ac150b52a0f392c68da675b799b345daedad000c1758022380f225","observation_id":"2eae1d5e-7bbb-470e-bbcb-80f9b59b79d9","resolution":{"observed_at":"2026-08-15T23:44:12.238761Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.04659","last_updated":"2025-05-07T02:10:03Z","latest_version":1,"primary_category":"cs.GR","snapshot_observed_at":"2026-08-18T09:49:45.811011Z","submitted_at":"2025-05-07T02:10:03Z","title":"GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes"},"reference_resolution":{"displayed":50,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":30,"verified_exact":1,"verified_fuzzy":19},"total_outbound_references":50},"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 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2505.04659."}