{"as_of":"2026-08-21T08:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8cf7506006489d8d2ea0a87b64fdf2c919ff1c4b6d8d715074971e3df732efd3","coverage":[{"denominator":53,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":53,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T20:49:48.967238Z","state":"measured"},{"denominator":53,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":53,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2505.11934/citation-record","integrity":"/paper/2505.11934/integrity","json":"/paper/2505.11934/citation-record.json","paper":"/paper/2505.11934"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:49:49.905556Z","title":"Mip-nerf 360: Unbounded anti-aliased neural radiance fields","venue":null,"work_id":"2e26aa3e-1b60-4147-9643-5b108fb18e14","year":2022},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.692447Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:e0a5e17c3ec57f92657b972616716c98d3a3016fafa10b0a1ce67285d9bd4f56","observation_id":"2528983b-c4cc-4c10-89ea-75201ca1ae22","resolution":{"observed_at":"2026-08-15T20:49:49.910671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:49:49.889534Z","title":"Algorithm for computer control of a digital plotter","venue":null,"work_id":"a8e736e1-a096-4b3e-9829-34f52da67a17","year":1998},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.698792Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:acf707ffd62cedf6ce254968efe5f6bb943d4254aa27414793065f3d7b1df746","observation_id":"1a0dce91-ac44-4f8e-83f7-0bdec3bfa805","resolution":{"observed_at":"2026-08-15T20:49:49.895055Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:49:49.871558Z","title":"In- structpix2pix: Learning to follow image editing instructions","venue":null,"work_id":"d491ce57-7935-4e25-9c95-635a582012f3","year":2023},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.704766Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:dc9c162097cba271f8fc7609ed1392992045edc5750cdf19410b2ed26e4aadfb","observation_id":"28b49c72-46e9-4cd3-94b8-9018829a3563","resolution":{"observed_at":"2026-08-15T20:49:49.877643Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:49:49.854108Z","title":"Augmented real- ity technologies, systems and applications.Multimedia Tools and Applications, 51:341–377, 2011","venue":null,"work_id":"8631e87e-7798-44ea-b527-b23722fefa92","year":2011},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.709975Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:b706ccd4736c2c27293ea00b6c6bdee76bca9ff46d62f51b055a2baa29691474","observation_id":"adabbb29-5ee6-4cb4-99bd-fe0e27a6ff33","resolution":{"observed_at":"2026-08-15T20:49:49.859285Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:49:49.836779Z","title":"Emerg- ing properties in self-supervised vision transformers","venue":null,"work_id":"1ed4c791-3f0b-475a-b703-7a7cb5cd5a16","year":2021},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.715753Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:a0a948eb460f77c93bfd54cfa15ce24ec1d3f59f9b4d26c3cf1e9870eb594547","observation_id":"df401640-b415-46d4-8c4a-c28ca4945cd1","resolution":{"observed_at":"2026-08-15T20:49:49.842055Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00860","last_updated":"2025-02-05T11:25:47Z","snapshot_observed_at":"2026-08-19T23:55:02.622037Z","submitted_at":"2023-12-01T17:15:24Z","title":"Segment Any 3D Gaussians","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00860","snapshot_observed_at":"2026-08-15T20:49:48.720759Z","title":"Segment any 3d 3 gaussians","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.720759Z"},"links":{"cited_paper":"/paper/2312.00860","citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:83f0125c5dfaa3e5266ec0db9a89d59c40531f0f91452d5191d42fc5115eb875","observation_id":"fd511c81-fe84-4f9c-842e-88a836adba17","resolution":{"observed_at":"2026-08-15T20:49:48.720759Z","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":"2026-08-15T20:49:49.714284Z","title":"Seg- ment anything in 3d with nerfs","venue":null,"work_id":"9e41317b-f359-4a2f-814d-9320fc7d843e","year":2023},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.726551Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:2a1dc4058e481212feb09a9abb50070d0e309067b31b1cc801f91ac75210e6cd","observation_id":"6a360124-7b7d-4b95-b6cb-c02beb364b2a","resolution":{"observed_at":"2026-08-15T20:49:49.824282Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:49:49.698319Z","title":"An empiri- cal study of training self-supervised vision transformers","venue":null,"work_id":"4e8b1261-ad78-4082-97c4-a81b5e016bde","year":2021},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.731217Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:edbee87ac83f64a186531c91e9a82f77dfdaa6ff650ff1384a99cf0c2844831f","observation_id":"e98254fe-375e-4808-af72-a4340d2f488c","resolution":{"observed_at":"2026-08-15T20:49:49.703670Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:49:49.681117Z","title":"Gaussianeditor: Swift and control- lable 3d editing with gaussian splatting","venue":null,"work_id":"bf8b9a49-f2c3-4e82-84f9-220143e1ae77","year":2024},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.737022Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:ac9e48eda938bf1bdee90bc7beb4a2b6de849b508d6d50f3d59acd251a1d1f7d","observation_id":"643dac5c-f7e2-40dc-8dbf-b3b0cd5771f0","resolution":{"observed_at":"2026-08-15T20:49:49.686933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.11793","last_updated":"2024-07-16T14:49:27Z","snapshot_observed_at":"2026-08-16T13:33:44.096597Z","submitted_at":"2024-07-16T14:49:27Z","title":"Click-Gaussian: Interactive Segmentation to Any 3D Gaussians","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.11793","snapshot_observed_at":"2026-08-15T20:49:48.742038Z","title":"Click-gaussian: Interactive segmenta- tion to any 3d gaussians","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.742038Z"},"links":{"cited_paper":"/paper/2407.11793","citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:8436a725f312463a13defa33c30021a50e198888a98fe1f33fb5955fe79d5347","observation_id":"47be26cc-066b-487d-9003-5eb11e3046ce","resolution":{"observed_at":"2026-08-15T20:49:48.742038Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-16T09:25:53.087782Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-15T20:49:48.747429Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.747429Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:fceb5d48b81430426ede9109044842a9643df55482fcd9bdac2f17dcad0c745e","observation_id":"a39793e0-b487-4156-9e24-3340bf871138","resolution":{"observed_at":"2026-08-15T20:49:48.747429Z","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":"2026-08-15T20:49:48.753235Z","title":"A survey of embodied ai: From simulators to research tasks","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.753235Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:d18895b61dea91d386ae9dd43dbd2eab51c3a55d043809598c4244832b577bf1","observation_id":"1903491a-cf03-4f48-a6ed-a4911ecad5d1","resolution":{"observed_at":"2026-08-15T20:49:48.753235Z","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":"2026-08-15T20:49:49.654350Z","title":"Stylegan-nada: Clip- guided domain adaptation of image generators","venue":null,"work_id":"c99e71ce-acd7-41b0-af6e-9648224d59f2","year":2022},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.758624Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:7f6aa2839d534f3ef58bfed84292f401a3edaa7abcbc45f1324d7ba9792ee867","observation_id":"462adfaf-f8f5-40e0-930d-ff8b0a3c0f3c","resolution":{"observed_at":"2026-08-15T20:49:49.659434Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:49:48.764539Z","title":"Textdeformer: Geometry manipu- lation using text guidance","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.764539Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:1ff1b710f57b7c2e2be3b8746f9f4557196cead4d7791dbea2b16b7aaceb8993","observation_id":"f3d9c2f9-8865-4b76-af67-2dc24c84f0fc","resolution":{"observed_at":"2026-08-15T20:49:48.764539Z","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":"2026-08-15T20:49:49.626651Z","title":"Interactive segmentation of radiance fields","venue":null,"work_id":"ec877314-70e1-4cef-8d68-b60e1042f356","year":2023},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.770279Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:901df06c67a245279530cb175ac16eab97fc9410f42fc7d1a785640bc954adb6","observation_id":"2a96d137-c9c2-4906-a6f9-2dd9392ed792","resolution":{"observed_at":"2026-08-15T20:49:49.632455Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:49:49.610387Z","title":"Deep learning for 3d point clouds: A survey","venue":null,"work_id":"ff345f50-b3f3-4292-b8fe-5e2a6e528dd3","year":2020},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.775391Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:edf3b514d244b316eb0c92bfb743f3ec57332b4fd1d6617cd40df4869c39dc84","observation_id":"0c64185a-2f3f-4474-8047-5688bab107b2","resolution":{"observed_at":"2026-08-15T20:49:49.615535Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:49:49.593139Z","title":"Instruct-nerf2nerf: Edit- ing 3d scenes with instructions","venue":null,"work_id":"16af6c13-dd48-4f36-a04f-25b8f7c43134","year":2023},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.780231Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:b709e901b9c1e1341ca330639e3772e9815a1f1be0e6240a03bb19b779797d47","observation_id":"aad15b09-f60b-4fa6-90e5-ef22082c2c0d","resolution":{"observed_at":"2026-08-15T20:49:49.598848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:49:48.785612Z","title":"Multiple view ge- ometry in computer vision","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.785612Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:eb000fc36b0c5db1ad512b507b95404c772cbfae642a047d519825ad75f7efdf","observation_id":"8e8cb597-a2f1-4419-8595-c120a3a7a01c","resolution":{"observed_at":"2026-08-15T20:49:48.785612Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.17857","last_updated":"2025-01-19T08:31:42Z","snapshot_observed_at":"2026-08-16T14:22:51.889630Z","submitted_at":"2024-01-31T14:19:03Z","title":"SAGD: Boundary-Enhanced Segment Anything in 3D Gaussian via Gaussian Decomposition","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.17857","snapshot_observed_at":"2026-08-15T20:49:48.790356Z","title":"Semantic anything in 3d gaussians","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.790356Z"},"links":{"cited_paper":"/paper/2401.17857","citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:62d66d71fd9ff19baedbe2fd18da4a50530528792613fd621717c52a23502aa2","observation_id":"c183f69a-5891-4770-b6b1-d801bf0990c8","resolution":{"observed_at":"2026-08-15T20:49:48.790356Z","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":"2026-08-15T20:49:49.563063Z","title":"Point’n move: Interactive scene object manipu- lation on gaussian splatting radiance fields","venue":null,"work_id":"8a662377-dff5-4c3d-bada-e5b93264fbb4","year":2023},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.796641Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:69f4bf53e0f8c559a4ce877a0aa5445301917bfe81aa8f0a7a7c52d91f25b10b","observation_id":"00ee0cc5-6a07-4b0a-b181-8d1c8c245e6a","resolution":{"observed_at":"2026-08-15T20:49:49.569528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:49:49.545638Z","title":"3d gaussian splatting for real-time radiance field rendering","venue":null,"work_id":"a1e2cee4-f75b-41e9-9976-92baa7b215be","year":2023},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.801997Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:873667cf337ffc087eb7ce961285222dd49978435574513e1a2e15b9c0770f6e","observation_id":"408de3ab-d6b3-48d4-9148-0b13a8df5734","resolution":{"observed_at":"2026-08-15T20:49:49.551203Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:49:48.807098Z","title":"Lerf: Language embedded radiance fields","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.807098Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:e38bface5ce97c9f4d9a789539ed82bb9acc9edeba92377b5effa97c86dffde7","observation_id":"d8f99813-3daf-4320-8147-58d1e49e76c1","resolution":{"observed_at":"2026-08-15T20:49:48.807098Z","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":"2026-08-15T20:49:48.813086Z","title":"Garfield: Group anything with radiance fields","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.813086Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:4ffc67106a184c14ae6332e20b32e97a3cf4b8dfc6f6e5c20e620cb1bda15e49","observation_id":"9268e23b-a4dd-4820-85ab-1bb195802bf4","resolution":{"observed_at":"2026-08-15T20:49:48.813086Z","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":"2026-08-15T20:49:49.508437Z","title":"Segment any- thing","venue":null,"work_id":"d013c49b-49c8-4159-8840-0b438da52401","year":2023},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.818385Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:786710311c99f4f69b3105edd1a1d750cd399d2e649fad43f9c806ba337acd9d","observation_id":"55c0ef50-4f5b-465c-9e5b-c710eba60a84","resolution":{"observed_at":"2026-08-15T20:49:49.513824Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:49:49.491019Z","title":"Interactive object segmentation in 3d point clouds","venue":null,"work_id":"be15a145-9b27-4c75-bb52-3ec7b6a0944f","year":2023},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.822983Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:47b875660bc9e78bd16c462015df5840c72f5d2b38efae86a59ecbf6170aa07c","observation_id":"21df1f7a-2638-4feb-ad8d-c0099d4ab893","resolution":{"observed_at":"2026-08-15T20:49:49.496204Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03219","last_updated":"2024-10-28T13:35:49Z","snapshot_observed_at":"2026-08-16T14:03:44.745249Z","submitted_at":"2024-04-04T05:54:19Z","title":"iSeg: Interactive 3D Segmentation via Interactive Attention","version":2},"cited_work":{"arxiv_id":"2404.03219","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.03219","snapshot_observed_at":"2026-08-15T20:49:49.086749Z","title":"iSeg: Interactive 3D Segmentation via Interactive Attention","venue":"cs.CV","work_id":"b5098adb-5b2b-4f19-a1ec-5d04367dc19a","year":2024},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.827629Z"},"links":{"cited_paper":"/paper/2404.03219","citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:04139d4f6c9b7269fa3f3f9d715508d58f3dc65829a9c3caa3f6acadda702e8a","observation_id":"d6adccbb-1022-441a-9b4e-2a77f262a42b","resolution":{"observed_at":"2026-08-15T20:49:49.093814Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:49:49.474884Z","title":"Visual instruction tuning","venue":null,"work_id":"82f209f9-8fa8-40c1-86b3-246657c0149f","year":2023},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.833293Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:c1428e183b6d863985f650429c3c10afaaddfb7b8bf12a0d1cce6d6431673988","observation_id":"fb7962b0-95aa-4efc-bba8-a81da920a10a","resolution":{"observed_at":"2026-08-15T20:49:49.480310Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:49:49.458302Z","title":"Editing conditional radiance fields","venue":null,"work_id":"9810a9bc-9796-437f-b1de-5c309d2746a1","year":null},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.838257Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:e4704fbdfcca97da5e9a08defb819e9eb513a7cabddd058ff3c8e2cb9b8cde48","observation_id":"02e4a82e-09be-4f8d-8635-899aceac91bf","resolution":{"observed_at":"2026-08-15T20:49:49.463525Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:49:49.441661Z","title":"Genn2n: Generative nerf2nerf translation","venue":null,"work_id":"87398dd7-51f9-4ab1-864c-4ecc932c09da","year":2024},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.843568Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:9e52421b087db1cb801ee3a90cb405cc2333038ece298485eb50d11faa1da3db","observation_id":"b97faaed-288a-4f94-851c-24c0bd50dfa4","resolution":{"observed_at":"2026-08-15T20:49:49.446610Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:49:49.425170Z","title":"Local light field fusion: Practical view syn- thesis with prescriptive sampling guidelines","venue":null,"work_id":"05ff8367-865f-4d25-88c9-b0a0dad27129","year":2019},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.848591Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:c166dea124f9de030303287d95be6e62a529ff2b41cd3a951086ed16c3289b06","observation_id":"1a19ff62-7f75-454a-979d-47fd7b2ae3cf","resolution":{"observed_at":"2026-08-15T20:49:49.430824Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:49:48.853432Z","title":"Nerf: Representing scenes as neural radiance fields for view syn- thesis","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.853432Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:a8d02e716534581895d1a41595bb1e2dd6ca30da522404426420f3f030dbf4be","observation_id":"f6e0c3db-2968-4089-be29-0afa054efa47","resolution":{"observed_at":"2026-08-15T20:49:48.853432Z","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":"2026-08-15T20:49:49.397949Z","title":"Spin-nerf: Multiview segmentation and perceptual inpainting with neural radiance 4 fields","venue":null,"work_id":"48ea77f3-2810-4de4-9e53-edfd61da5a4e","year":null},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.858868Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:ca7e1be5097db92a7369d45cb7ed57ae6386e6d70c8d8bd03014750268b66286","observation_id":"916b6195-cfd4-4a5b-ae90-57e439f695ae","resolution":{"observed_at":"2026-08-15T20:49:49.402790Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.07193","last_updated":"2024-02-02T10:24:09Z","snapshot_observed_at":"2026-08-17T13:03:40.359628Z","submitted_at":"2023-04-14T15:12:19Z","title":"DINOv2: Learning Robust Visual Features without Supervision","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.07193","snapshot_observed_at":"2026-08-15T20:49:48.863609Z","title":"Dinov2: Learning robust visual features without supervision","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.863609Z"},"links":{"cited_paper":"/paper/2304.07193","citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:dd2ae80d247cef0d88f5c665b000cf62a10679a0467e2f5a81af2f4e24330a27","observation_id":"330d9b21-fc1c-44e2-8706-50ccddc8ad4f","resolution":{"observed_at":"2026-08-15T20:49:48.863609Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05154","last_updated":"2024-05-21T08:21:52Z","snapshot_observed_at":"2026-08-18T14:52:27.210466Z","submitted_at":"2024-03-08T08:42:23Z","title":"GSEdit: Efficient Text-Guided Editing of 3D Objects via Gaussian Splatting","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05154","snapshot_observed_at":"2026-08-15T20:49:48.869201Z","title":"Gsedit: Efficient text-guided edit- ing of 3d objects via gaussian splatting","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.869201Z"},"links":{"cited_paper":"/paper/2403.05154","citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:f6bd8f7e91a5276f3f5885e95061f37a938a79b9b21a594e7fdc719e1e186f54","observation_id":"357c97c9-7fa2-479e-942c-994999f30b44","resolution":{"observed_at":"2026-08-15T20:49:48.869201Z","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":"2026-08-15T20:49:49.381313Z","title":"Langsplat: 3d language gaussian splatting","venue":null,"work_id":"b6941fa4-b21e-4e3d-a246-8f9d136d4c0b","year":2024},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.874263Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:a390c3a64725ab4d04c6fb4468dcf794239397e9796fae15b62e3d23045baada","observation_id":"c4044268-bf9a-4a49-80de-cff460c71390","resolution":{"observed_at":"2026-08-15T20:49:49.386456Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:49:49.362548Z","title":"Learn- ing transferable visual models from natural language super- vision","venue":null,"work_id":"df16c851-738f-44b2-9b1c-637ca53589bd","year":2021},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.879824Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:a4a1314449fe9f8fd1114285bc393ec5581645eaef2d72028dd06d66b9a86c22","observation_id":"8942f524-1632-4879-be0b-9428ec1e8b3a","resolution":{"observed_at":"2026-08-15T20:49:49.368566Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:49:49.346161Z","title":"Neural volumetric ob- ject selection","venue":null,"work_id":"d9797374-5996-4630-860f-f6ddcb4f1df8","year":2022},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.884486Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:078fe7790885793b17943e7e9d25cb6b507fbaa97211c79f5c63dc6765b3a05b","observation_id":"6db90a67-4968-49b5-86eb-2a38402f877e","resolution":{"observed_at":"2026-08-15T20:49:49.351354Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:49:49.330424Z","title":"A comparison and evalua- tion of multi-view stereo reconstruction algorithms","venue":null,"work_id":"181608fa-3051-4898-aabd-19adcaaf5ee9","year":2006},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.889658Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:2314ad1376428be03b820a503ee6b578a21267707de043d48e0727bbc40605f4","observation_id":"c834d651-72a1-47cc-8cd2-012ee2eb93f1","resolution":{"observed_at":"2026-08-15T20:49:49.335478Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:49:49.313430Z","title":"Spa- tial computing","venue":null,"work_id":"b31ab074-14eb-49a8-9474-9f945a856f84","year":null},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.894265Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:53419e10e5fea48234c15bef4d9b8665855c936bc4af0a38068734d907cd136a","observation_id":"1346df5b-314e-46c9-a977-6e83e505fab0","resolution":{"observed_at":"2026-08-15T20:49:49.319275Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:49:49.296447Z","title":"Photo tourism: exploring photo collections in 3d","venue":null,"work_id":"2c74c234-8121-4751-92ca-357176fbce2c","year":2006},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.900696Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:467097952be828113bb291dd3fead8ad07960de4f584668b4b9d5a24662f6777","observation_id":"eb10808c-52e7-4c21-b834-aff4de578ca5","resolution":{"observed_at":"2026-08-15T20:49:49.302271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:49:48.905461Z","title":"Clip-nerf: Text-and-image driven manip- ulation of neural radiance fields","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.905461Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:c4d1d0255a4574a71312150a622da402a7fe126cbe026bfcaaa0acdb921f4ca9","observation_id":"b89b0cc6-d779-468d-bb72-9ce8af90b660","resolution":{"observed_at":"2026-08-15T20:49:48.905461Z","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":"2026-08-15T20:49:49.269375Z","title":"Gaussianeditor: Editing 3d gaussians delicately with text instructions","venue":null,"work_id":"09284b2a-ccfb-44ff-90c2-75867a8ce186","year":2024},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.910832Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:28ca2abb39760b4bc696b416fb226fb4f34692fa5d29f07e18781e37de935f79","observation_id":"565e8224-71a7-4d3f-8aed-8871459761dd","resolution":{"observed_at":"2026-08-15T20:49:49.275166Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.03263","last_updated":"2024-11-27T15:08:34Z","snapshot_observed_at":"2026-08-16T13:37:19.128084Z","submitted_at":"2024-07-03T16:50:07Z","title":"A Unified Framework for 3D Scene Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.03263","snapshot_observed_at":"2026-08-15T20:49:48.915604Z","title":"A unified framework for 3d scene understanding","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.915604Z"},"links":{"cited_paper":"/paper/2407.03263","citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:a9d655ff7f3064b850a3b719a332a78c09ba09a357842430e5c0312df83bb44f","observation_id":"e8368639-4986-4775-8f92-1fe5ba678b7e","resolution":{"observed_at":"2026-08-15T20:49:48.915604Z","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":"2026-08-15T20:49:48.920994Z","title":"Neumesh: Learning disentangled neural mesh-based implicit field for geometry and texture editing","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.920994Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:1f7b320d6420a8bed15d52ffdc246c74c1dc46aaad882610e04fdae2db042957","observation_id":"2f3a9438-c2c0-445c-a806-09f01429de63","resolution":{"observed_at":"2026-08-15T20:49:48.920994Z","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":"2026-08-15T20:49:49.242765Z","title":"3d-aware scene manipulation via inverse graphics.Advances in Neural Information Processing Systems, 31, 2018","venue":null,"work_id":"86865e4f-efdd-41ad-b008-49300ca4a3a7","year":2018},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.926164Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:edc248be456451e08d2d994033502a7cd3c132080533b969404599abe979da35","observation_id":"d5822514-e3c4-47f4-9bcf-63f993fb2218","resolution":{"observed_at":"2026-08-15T20:49:49.247986Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"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":"2026-08-15T20:49:48.931031Z","title":"Gaussian grouping: Segment and edit anything in 3d scenes","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.931031Z"},"links":{"cited_paper":"/paper/2312.00732","citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:4ad7078029587347ccdc880a00cb6bbb00431a5fe6474fc0bf6c1480af0d433c","observation_id":"202b3d27-adb1-4219-a5bd-20fb7062b997","resolution":{"observed_at":"2026-08-15T20:49:48.931031Z","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":"2026-08-15T20:49:48.936812Z","title":"Omniseg3d: Omniversal 3d segmentation via hierarchical contrastive learning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.936812Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:58e639711d7d3257a3bee19fcc610df8b370dd8966694f36bd531a15cf793902","observation_id":"cc441859-55cd-46b0-a180-656203c54175","resolution":{"observed_at":"2026-08-15T20:49:48.936812Z","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":"2026-08-15T20:49:49.215879Z","title":"Nerf-editing: geometry editing of neural radiance fields","venue":null,"work_id":"ec547b54-330a-4181-9699-43d77b31f36f","year":2022},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.941566Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:c5a960b6a6eb4cf33af69250a7a8683597b9f8ccce811be653455e9afba390ad","observation_id":"ff1797e4-ac1d-4c74-8b8f-3e9bbd81f934","resolution":{"observed_at":"2026-08-15T20:49:49.221124Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00977","last_updated":"2024-04-10T10:56:00Z","snapshot_observed_at":"2026-08-16T15:27:22.862804Z","submitted_at":"2023-06-01T17:59:10Z","title":"AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.00977","snapshot_observed_at":"2026-08-15T20:49:48.946718Z","title":"Agile3d: Attention guided interactive multi- object 3d segmentation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.946718Z"},"links":{"cited_paper":"/paper/2306.00977","citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:3655ff67c92c80a446efc4d01657aa7c55a2192f023d6fc2567e3deb239c5c1f","observation_id":"c3c028d3-0e91-4699-b65d-a8a3ac8caf1d","resolution":{"observed_at":"2026-08-15T20:49:48.946718Z","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":"2026-08-15T20:49:48.951643Z","title":"The unreasonable effectiveness of deep features as a perceptual metric","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.951643Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:1b6c66d1eaab03a7787dc6f914a5c68ef92b3eda0b90feeb4678bc2bb07232e6","observation_id":"c56cdea7-0b7e-4864-8e40-7b90afa64404","resolution":{"observed_at":"2026-08-15T20:49:48.951643Z","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":"2026-08-15T20:49:48.957178Z","title":"Dreameditor: Text-driven 3d scene editing with neural fields","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.957178Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:4a7039f789633c75b7515ef27806b3f3862b6ca03af315fb215b5534649463a3","observation_id":"66c3bad9-48fd-4047-8d8b-96c8157d7999","resolution":{"observed_at":"2026-08-15T20:49:48.957178Z","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":"2026-08-15T20:49:48.962104Z","title":"Vargpt: Unified understanding and generation in a visual autoregressive mul- timodal large language model, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.962104Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:9dbd25afd56020482a6f4bfcd9e201bb4832b695719fe16ffb05a4bbb63be192","observation_id":"1a25c6c4-271c-44d0-9a15-4b267dfb5518","resolution":{"observed_at":"2026-08-15T20:49:48.962104Z","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":"2026-08-15T20:49:49.168798Z","title":"Vasparse: Towards efficient visual halluci- nation mitigation for large vision-language model via visual- aware sparsification, 2025","venue":null,"work_id":"64af7413-ce34-429a-88f4-472e9479180f","year":2025},"citing_paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-15T20:49:48.967238Z"},"links":{"citing_paper":"/paper/2505.11934"},"observation_digest":"sha256:f9a00ea776ac9ddb23e0b929955d86917624549b7ee05eda4ae18501cd09530a","observation_id":"34e39764-b56b-457f-a95c-7f6292549bff","resolution":{"observed_at":"2026-08-15T20:49:49.173673Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.11934","last_updated":"2025-05-17T09:41:10Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-19T01:04:05.382010Z","submitted_at":"2025-05-17T09:41:10Z","title":"iSegMan: Interactive Segment-and-Manipulate 3D Gaussians"},"reference_resolution":{"displayed":53,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":21,"verified_exact":1,"verified_fuzzy":31},"total_outbound_references":53},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2505.11934."}