{"as_of":"2026-08-07T23:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:299fbb6f8189f249a4c22fd792c594b9857eab2b636539ccc3296d2563bfa8a1","coverage":[{"denominator":43,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":43,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:06:58.451616Z","state":"measured"},{"denominator":44,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":44,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T14:51:52.723576Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T14:51:53.039879Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"cited_work":{"arxiv_id":"2506.08777","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.08777","snapshot_observed_at":"2026-08-06T14:51:53.039879Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","venue":"cs.CV","work_id":"25eb395b-f1a5-4948-9a13-cfbb5e05e7b3","year":2025},"citing_paper":{"arxiv_id":"2507.17533","last_updated":"2025-07-23T14:13:14Z","snapshot_observed_at":"2026-08-06T18:13:30.036290Z","submitted_at":"2025-07-23T14:13:14Z","title":"Multi-modal Multi-task Pre-training for Improved Point Cloud Understanding","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-06T14:51:52.723576Z"},"links":{"cited_paper":"/paper/2506.08777","citing_paper":"/paper/2507.17533"},"observation_digest":"sha256:57156b06bbf027f9acc5b8492bf656f095b76fb5813333b675362093e53df540","observation_id":"3a7b2b1e-e2d5-4038-b13f-262b6d6b8621","resolution":{"observed_at":"2026-08-06T14:51:53.046813Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.08777/citation-record","integrity":"/paper/2506.08777/integrity","json":"/paper/2506.08777/citation-record.json","paper":"/paper/2506.08777"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:06:57.613359Z","title":"Comprehensive review of deep learning-based 3d point cloud completion processing and analysis","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:57.613359Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:33737856a7eb36eee425f27d7a779911eaabf393642bd9bd6a58ad4a7c0998de","observation_id":"eeec9bca-fbd8-47a5-b4a6-f5f6e45ca354","resolution":{"observed_at":"2026-08-07T05:06:57.613359Z","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":"2026-08-07T05:06:59.086457Z","title":"Quar-vla: Vision-language-action model for quadruped robots","venue":null,"work_id":"392c1dad-25a0-45f8-951f-d08ec3c92311","year":2024},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:57.648392Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:5f4d21d50499372e5411f5fc3f97af0c40dbbf97ef2c45a47ccec581753bc841","observation_id":"505c4c33-fec3-491a-98b2-221c66d24971","resolution":{"observed_at":"2026-08-07T05:06:59.091091Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:06:59.071800Z","title":"Discuss before moving: Visual language navigation via multi-expert discussions","venue":null,"work_id":"9978563f-7cfe-4a0b-9807-81acf4e79803","year":2024},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:57.707383Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:e464cefc5823549818aecce99681a0bf4c0cb81310d432ec12d475caac9b30ef","observation_id":"03971bc8-6042-4867-9c41-a534e6303ba0","resolution":{"observed_at":"2026-08-07T05:06:59.076520Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:06:59.057021Z","title":"Curriculumformer: Taming curriculum pre-training for enhanced 3-d point cloud understanding","venue":null,"work_id":"c051d963-5224-4e27-a0b3-983c10313d91","year":2024},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:57.771569Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:110a2be9183a4c9348556c72d5fb600737cf1946becc729391e69ac55e5ba996","observation_id":"37473cde-4d58-4839-b34e-ea7ddf9e3e11","resolution":{"observed_at":"2026-08-07T05:06:59.061551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.04691","last_updated":"2023-05-08T13:20:55Z","snapshot_observed_at":"2026-07-06T15:24:34.433150Z","submitted_at":"2023-05-08T13:20:55Z","title":"Self-supervised Learning for Pre-Training 3D Point Clouds: A Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.04691","snapshot_observed_at":"2026-08-07T05:06:57.857443Z","title":"Self-supervised learning for pre-training 3d point clouds: A survey","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:57.857443Z"},"links":{"cited_paper":"/paper/2305.04691","citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:4dfa4fddfc81fd9c1f8ea22564674e4854b0346e94219314333d60323017afd2","observation_id":"9cb8d37b-4d14-4765-96b0-ff64a2583848","resolution":{"observed_at":"2026-08-07T05:06:57.857443Z","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":"2026-08-07T05:06:59.042100Z","title":"Parameter efficient point cloud prompt tuning for unified point cloud understanding","venue":null,"work_id":"d3a089d1-37b4-4a34-8b5e-fe9e356dc004","year":2024},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:57.921741Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:8b6e2ee136291d8a348087b8b1d2756a3d19a5f5f37bbb91a988daed2e1d55fc","observation_id":"afc45ee2-8391-4b95-a605-6b0f2a42200f","resolution":{"observed_at":"2026-08-07T05:06:59.046524Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:06:59.027381Z","title":"Unsupervised point cloud pre-training via occlusion completion","venue":null,"work_id":"b359b9e5-6ac8-47f0-ab44-daffbef57dc6","year":2021},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.008032Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:71a8b8b5645df69f221d2d724d007e8a800b5807310726752fd6556a0ac3206f","observation_id":"d3a42a2c-eea3-402c-9c73-a814d135b972","resolution":{"observed_at":"2026-08-07T05:06:59.031845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:06:59.011702Z","title":"Point-bert: Pre-training 3d point cloud transformers with masked point modeling","venue":null,"work_id":"b7d2d1f3-24ca-4a21-a551-0701d92bf3b7","year":2022},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.073156Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:66bfa47d581b5cb4455eb40a6daabae1c77c910ae16bd8eebddd17a7ec7c4078","observation_id":"06cf7a05-5ac9-4165-b655-b70c601ccee0","resolution":{"observed_at":"2026-08-07T05:06:59.017224Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:06:58.996230Z","title":"Masked autoencoders for point cloud self-supervised learning","venue":null,"work_id":"53f00df6-d358-460d-a44a-c2eb54f10c93","year":2022},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.136758Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:93ee2a0c2b41f43d206deb4bc287f4662a3fb10d1bcf145265194596a3d89c93","observation_id":"931744b7-5a6b-4243-81a1-570f2d8f1277","resolution":{"observed_at":"2026-08-07T05:06:59.001310Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:06:58.980682Z","title":"Point-m2ae: multi-scale masked autoencoders for hierarchical point cloud pre-training","venue":null,"work_id":"0f075cc8-f740-4f45-aa51-f3d174cd13e9","year":2022},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.180130Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:e4ea224f792bf7ee41ef3fa979d4664c6378dcf500d5275c3a8fccfa80e9d01a","observation_id":"ad5f27f8-3f15-4792-8076-8130afc0111d","resolution":{"observed_at":"2026-08-07T05:06:58.985339Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:06:58.965438Z","title":"Pointcontrast: Unsupervised pre-training for 3d point cloud understanding","venue":null,"work_id":"4ff26344-c8c9-4d1b-a8bd-d9b184725e81","year":2020},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.244950Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:e3f4c911aab2f1b1539548a068c84f0fdb2f98091989955d323ab7e50529e15d","observation_id":"42b5bf80-5115-477c-9965-b84932282664","resolution":{"observed_at":"2026-08-07T05:06:58.970103Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:06:58.951138Z","title":"Crosspoint: Self-supervised cross-modal contrastive learning for 3d point cloud understanding","venue":null,"work_id":"3c3b4b55-f585-4ee3-b7d0-31257af20b9a","year":2022},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.312057Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:1c978a903917ea41332e32dfc58eb8c94d77752ad8e475662e5a3509309f2f76","observation_id":"63ef820d-010a-4042-8991-108ea624c946","resolution":{"observed_at":"2026-08-07T05:06:58.955644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.00179","last_updated":"2021-09-01T04:17:11Z","snapshot_observed_at":"2026-08-06T15:22:31.921923Z","submitted_at":"2021-09-01T04:17:11Z","title":"Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds","version":1},"cited_work":{"arxiv_id":"2109.00179","doi":null,"metadata_source":"pith","pith_arxiv_id":"2109.00179","snapshot_observed_at":"2026-08-07T05:06:58.538152Z","title":"Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds","venue":"cs.CV","work_id":"34d5dee7-de32-4ce6-b301-2d521f4fae2e","year":2021},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.323388Z"},"links":{"cited_paper":"/paper/2109.00179","citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:768844fcccca64ff026c2ba2569761848b7ff57d8ebb3a0e2a70574a8c42bce3","observation_id":"eb2d11de-2d44-413f-af45-71a1ec8d63ae","resolution":{"observed_at":"2026-08-07T05:06:58.545642Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:06:58.936687Z","title":"Ponder: Point cloud pre-training via neural rendering","venue":null,"work_id":"12f746d5-2051-4214-a073-3c7a33664a53","year":2023},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.327930Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:4c42b002e7827c614b49d7f454dabe58351afb12965e7c8179ec71a99660b1f4","observation_id":"42d6b595-37c4-49fe-84b1-ae601a5b4c10","resolution":{"observed_at":"2026-08-07T05:06:58.941181Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:06:58.921531Z","title":"City-on-web: real-time neural rendering of large-scale scenes on the web","venue":null,"work_id":"d5d71627-a1d2-47c5-b5d4-e30466a55cbc","year":2024},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.332199Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:2597abc674ff07de2c565773554a988dbaa36ba125bc5f5085faabc5fb6065fb","observation_id":"f446d4a0-5660-466c-a1a2-3fbdfac707f0","resolution":{"observed_at":"2026-08-07T05:06:58.926120Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:06:58.336495Z","title":"3d gaussian splatting for real-time radiance field rendering","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.336495Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:d3ebd1f7cad8a8de3c0fad8b11dc815ee13d59806c797c5198757db096897468","observation_id":"d6eca1e6-066c-4c38-92c2-0586c96cd8e7","resolution":{"observed_at":"2026-08-07T05:06:58.336495Z","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":"2026-08-07T05:06:58.897147Z","title":"3d gaussian splatting as new era: A survey","venue":null,"work_id":"221d349e-be08-4763-aaea-f8dc2668c4ee","year":2024},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.340855Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:4b79a59094c17117d8159cdd1513e17890581deb6d7a29e9229e9d8313af44bb","observation_id":"858b79e1-b5ee-4bd5-9883-3d744ca608e0","resolution":{"observed_at":"2026-08-07T05:06:58.901972Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:06:58.882295Z","title":"Gs-pt: Exploiting 3d gaussian splatting for comprehensive point cloud understanding via self-supervised learning","venue":null,"work_id":"a2f36377-dee3-43c8-84ed-267421bfbba0","year":2025},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.344995Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:525c498170077782812094f6f5c4e7aa4e795b262ee8c07113004b327ac6225b","observation_id":"0c7cb596-99d7-455a-9dca-1f26610c3853","resolution":{"observed_at":"2026-08-07T05:06:58.886985Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:06:58.867810Z","title":"An end-to-end transformer model for 3d object detection","venue":null,"work_id":"5ffa789e-d0f2-4ba3-be23-12183647df85","year":2021},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.349376Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:34b9438664ab3ac00162f600600eb04bd8601b08d8d5765b957c8e346a4159b4","observation_id":"db422ac2-64b3-4fbb-9708-867d2f80c867","resolution":{"observed_at":"2026-08-07T05:06:58.872337Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:06:58.852606Z","title":"Sun rgb-d: A rgb-d scene understanding benchmark suite","venue":null,"work_id":"2edfb384-1500-446a-a0c6-b4eee8ed05f6","year":2015},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.353807Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:09fca95c415d1564dba9ad22f5411d1f36a89387b845e391355f6913114da321","observation_id":"7c9863cc-295c-4321-899d-06b900299b4e","resolution":{"observed_at":"2026-08-07T05:06:58.857202Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:06:58.357712Z","title":"Scannet: Richly-annotated 3d reconstructions of indoor scenes","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.357712Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:0f9f57d784116b42281867027c5c3724a111744100e0dc70db6f417d3b1a848d","observation_id":"b2450700-25ea-409c-a41b-dc1247d566e0","resolution":{"observed_at":"2026-08-07T05:06:58.357712Z","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":"2026-08-07T05:06:58.361689Z","title":"Nerf: Representing scenes as neural radiance fields for view synthesis","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.361689Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:2a915f946bc065d79f01560623f9b1162388c2835633c003a3b5a616e4cf39fa","observation_id":"e52fbfe2-ceb6-4b69-8994-0ab9281c37e7","resolution":{"observed_at":"2026-08-07T05:06:58.361689Z","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":"2026-08-07T05:06:58.816389Z","title":"Sugar: Surface-aligned gaussian splatting for efficient 3d mesh reconstruction and high-quality mesh rendering","venue":null,"work_id":"7c664cba-6528-47d2-ac9b-469311d23cbb","year":2024},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.365712Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:b9fa5731967e04e45da47290be507b27ae0d7bbf9e737fbc507cf0e15a3621ff","observation_id":"9b41eb4c-57a1-4738-a8ca-d1c56970bd6f","resolution":{"observed_at":"2026-08-07T05:06:58.820931Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:06:58.801980Z","title":"Deformable 3d gaussians for high-fidelity monocular dynamic scene reconstruction","venue":null,"work_id":"2e78c40f-9a6c-4fcd-b24b-5e658ab31936","year":2024},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.369751Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:6f8d7394b462cde2fd246c366d9160001790d46fbb3bc708832b2baabfd01a8d","observation_id":"4a6aaf5c-9460-4d84-a27d-a7e14271c18d","resolution":{"observed_at":"2026-08-07T05:06:58.806645Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:06:58.787616Z","title":"Vastgaussian: Vast 3d gaussians for large scene reconstruction","venue":null,"work_id":"5ec98a94-dd26-4477-82c6-b3a0a8061191","year":2024},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.373917Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:13a41becda862ecb07144c06a0ffa1c69c1744a1f45dd70abd9202404cd475ac","observation_id":"3b7d99cb-c0ac-4efe-82d1-520c636abd07","resolution":{"observed_at":"2026-08-07T05:06:58.792271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:06:58.772703Z","title":"Gaussianeditor: Swift and controllable 3d editing with gaussian splatting","venue":null,"work_id":"42b7efea-45b2-4b34-9b92-1787a8cdaa8a","year":2024},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.377954Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:1591111ebba1ebbd6f0af64e4b2b2a5ebd589187b53b1901a3693ce24878b8a2","observation_id":"08838c15-9b56-4639-8b47-843faa0cb9b0","resolution":{"observed_at":"2026-08-07T05:06:58.777527Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:06:58.756843Z","title":"Luciddreamer: Towards high-fidelity text-to-3d generation via interval score matching","venue":null,"work_id":"bbceb610-cdd9-4907-8eb9-51b143c3dad0","year":2024},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.381877Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:a6eab0d755d10eae4d660276e97c82a287eebec1d3eed9b4fa69c8beff8c3333","observation_id":"eef0a794-0e03-4b8a-807f-7c6a9d3da1bf","resolution":{"observed_at":"2026-08-07T05:06:58.761850Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:06:58.740266Z","title":"Drivinggaussian: Composite gaussian splatting for surrounding dynamic autonomous driving scenes","venue":null,"work_id":"dabd3280-3b18-41fc-8262-ea919ee50a50","year":2024},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.386287Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:57d52cb6ca1f3a6d464f87748bf4d7c971902c756bd2cfa732e375b3a7e59581","observation_id":"1efe6457-1fb5-4dd6-9f91-85e400f1775f","resolution":{"observed_at":"2026-08-07T05:06:58.745443Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:06:58.725509Z","title":"Hifi4g: High-fidelity human performance rendering via compact gaussian splatting","venue":null,"work_id":"84fcd593-bdf1-4d0d-ae4a-6d11d01cd0ae","year":2024},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.390463Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:c547bc3784eccfdadba1c1a7a910d6d5c7d5fad42f4a58039910e4f2d2214bef","observation_id":"d6ea0764-5b2c-46f6-971e-e13a0ff59244","resolution":{"observed_at":"2026-08-07T05:06:58.729984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.08586","last_updated":"2025-04-15T03:03:46Z","snapshot_observed_at":"2026-07-06T16:32:07.186600Z","submitted_at":"2023-10-12T17:59:57Z","title":"PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.08586","snapshot_observed_at":"2026-08-07T05:06:58.394509Z","title":"Ponderv2: Pave the way for 3d foundation model with a universal pre-training paradigm","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.394509Z"},"links":{"cited_paper":"/paper/2310.08586","citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:d0630a1a1c8e2e5d177b756e2d947321fed96fc38cad538d121319c8f362822a","observation_id":"32e22547-53c6-4ae9-912f-6d3627e935ad","resolution":{"observed_at":"2026-08-07T05:06:58.394509Z","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":"2026-08-07T05:06:58.710250Z","title":"Unsupervised point cloud representation learning by clustering and neural rendering","venue":null,"work_id":"01f1d67f-b467-4d1c-962f-f7ba969e0ba4","year":2024},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.399230Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:81aa1fb29ab4580f39ac09b48c2686f40ade0f265f88b8137ce4d2cd5baf85a5","observation_id":"176d17e2-aa3f-4884-979b-6e83b4b549f3","resolution":{"observed_at":"2026-08-07T05:06:58.714970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:06:58.695375Z","title":"Unipad: A universal pre-training paradigm for autonomous driving","venue":null,"work_id":"fe7a4024-eb20-4eda-8c01-297a37d0e6c4","year":2024},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.403452Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:ee7d27866f70a3df32abf8ef284a5ce705a8737187de1d4f2f847757a1bb2a61","observation_id":"956df53d-4aa3-4326-9872-fbcbda8951cd","resolution":{"observed_at":"2026-08-07T05:06:58.700129Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:06:58.680573Z","title":"Pimae: Point cloud and image interactive masked autoencoders for 3d object detection","venue":null,"work_id":"1f8d940c-eb05-4a1b-83ac-569e2a02883f","year":2023},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.407688Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:379a085f5b9829ee336b21e85ad977aac5823d0e68fb30a8a96768a1638b7d81","observation_id":"83591788-ae72-408b-90e0-06bbc59b6969","resolution":{"observed_at":"2026-08-07T05:06:58.684975Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","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":"2026-08-07T05:06:58.411970Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.411970Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:a4d2445b5711d95cf46ea9b4aa41ae5b66da478b7408989befde10eefb06ff2a","observation_id":"857e1eaf-40c0-458f-bfbe-6f4ec5fbbc12","resolution":{"observed_at":"2026-08-07T05:06:58.411970Z","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":"2026-08-07T05:06:58.416796Z","title":"Image quality assessment: from error visibility to structural similarity","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.416796Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:1b7b5753d0b84d03e964872cd858264ae657c65fd4f5108c39d79dfb862a2f88","observation_id":"c406df06-7f8e-465e-9537-142be045062f","resolution":{"observed_at":"2026-08-07T05:06:58.416796Z","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":"2026-08-07T05:06:58.655378Z","title":"Generative sparse detection networks for 3d single-shot object detection","venue":null,"work_id":"4f22d3fa-ed81-46b1-8a1c-60c6a42919df","year":2020},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.422369Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:5e64cf64eea3b33a9ba4aa6484b831429f154b9d0ad8b7c424422649c82e5820","observation_id":"23915b82-fd52-44bf-a130-feba18ab16bd","resolution":{"observed_at":"2026-08-07T05:06:58.659894Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-07T05:06:58.426527Z","title":"Decoupled weight decay regularization","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.426527Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:239978b791509eb3274fd6d4da25490758bddd4bf93755e02ecee4c8451be826","observation_id":"85b54694-cab8-4442-819c-030217e1520f","resolution":{"observed_at":"2026-08-07T05:06:58.426527Z","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":"2026-08-07T05:06:58.431034Z","title":"Scaffold-gs: Structured 3d gaussians for view-adaptive rendering","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.431034Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:05d97521c953cd419fd5fcd5f129b94a6436ed667488005a67a6b1a8ba76c4bd","observation_id":"e624fae5-1723-43e1-af70-bf188f8913bb","resolution":{"observed_at":"2026-08-07T05:06:58.431034Z","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":"2026-08-07T05:06:58.628751Z","title":"Deep sliding shapes for amodal 3d object detection in rgb-d images","venue":null,"work_id":"97722bc1-311f-4a89-9807-216d5d10c7da","year":2016},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.435111Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:0a0d9bea854bcbbe2709191ca0ac8b25639ae17f1644c93e74e2ea0d19519537","observation_id":"4db509ec-d3b2-4469-a60d-381e1f1f5c34","resolution":{"observed_at":"2026-08-07T05:06:58.633469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:06:58.613867Z","title":"Pointfusion: Deep sensor fusion for 3d bounding box estimation","venue":null,"work_id":"a05d4cb6-ba5d-4d6c-99fe-a3f6cb8dc050","year":2018},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.439207Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:50f497b2584d4f6cd65071a0df29418fd3bea249b855892ae3dc1e0e93623ad5","observation_id":"49362849-b6f5-4ad5-871f-e20526632642","resolution":{"observed_at":"2026-08-07T05:06:58.618457Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:06:58.598668Z","title":"3d-sis: 3d semantic instance segmentation of rgb-d scans","venue":null,"work_id":"e449afd4-23d4-4ad3-8b9f-670e5842d6aa","year":2019},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.443269Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:a9a31016de59e42072d8d53025391a15e3922873fb1b1b00f74954f4791ff93f","observation_id":"cbcca86e-de42-40ba-bd26-7d34aef89b57","resolution":{"observed_at":"2026-08-07T05:06:58.603326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:06:58.582520Z","title":"Deep hough voting for 3d object detection in point clouds","venue":null,"work_id":"5665a929-f2b2-44e3-84c9-6f248fe95618","year":2019},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.447338Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:8886f0d7880f08a8f4c54133240f870ee739c14a098354d038262c6bbb8ee0f7","observation_id":"1e9033da-8be4-414e-9601-24c4e5cfdc8c","resolution":{"observed_at":"2026-08-07T05:06:58.587435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:06:58.451616Z","title":"Visualizing data using t-sne","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting","version":2},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-07T05:06:58.451616Z"},"links":{"citing_paper":"/paper/2506.08777"},"observation_digest":"sha256:7fa45f586b6aa3a24c4d3d65b4fcf8f61581a387572d3434f5a58faee9e253ef","observation_id":"5663698e-6a93-4372-bf3c-dce666e60acb","resolution":{"observed_at":"2026-08-07T05:06:58.451616Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.08777","last_updated":"2025-06-11T08:42:02Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T04:59:54.900097Z","submitted_at":"2025-06-10T13:19:21Z","title":"Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting"},"reference_resolution":{"displayed":43,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":1,"verified_fuzzy":31},"total_outbound_references":43},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2506.08777."}