{"as_of":"2026-08-10T06:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:07016478c19df892ee27e70d54f5f76a458135951da58acb3f228fb9f769e16b","coverage":[{"denominator":27,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T23:04:44.748448Z","state":"measured"},{"denominator":28,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":28,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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":"2026-08-06T23:04:43.773529Z","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":"2026-08-06T23:04:44.816012Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"cited_work":{"arxiv_id":"2506.21629","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.21629","snapshot_observed_at":"2026-08-06T23:04:44.816012Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","venue":"cs.GR","work_id":"20585afd-33f2-4421-8b72-de74bf2939af","year":2025},"citing_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T23:04:43.773529Z"},"links":{"cited_paper":"/paper/2506.21629","citing_paper":"/paper/2506.21629"},"observation_digest":"sha256:48b2d41b81ff94b2911d05921b1533ceaaae504ea54d05afd67bc68b4db790d9","observation_id":"24ff2f15-e627-4b51-88be-18b7c6b0b3eb","resolution":{"observed_at":"2026-08-06T23:04:44.822331Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.21629/citation-record","integrity":"/paper/2506.21629/integrity","json":"/paper/2506.21629/citation-record.json","paper":"/paper/2506.21629"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"cited_work":{"arxiv_id":"2506.21629","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.21629","snapshot_observed_at":"2026-08-06T23:04:44.816012Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","venue":"cs.GR","work_id":"20585afd-33f2-4421-8b72-de74bf2939af","year":2025},"citing_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T23:04:43.773529Z"},"links":{"cited_paper":"/paper/2506.21629","citing_paper":"/paper/2506.21629"},"observation_digest":"sha256:48b2d41b81ff94b2911d05921b1533ceaaae504ea54d05afd67bc68b4db790d9","observation_id":"24ff2f15-e627-4b51-88be-18b7c6b0b3eb","resolution":{"observed_at":"2026-08-06T23:04:44.822331Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T23:04:45.146578Z","title":"Preliminary Problem formulation.Given a sequence ofNunposed RGB images frames, we denote it as{Ii}N i=1, whereI i ∈R H×W×3 and K is the camera intrinsics","venue":null,"work_id":"19c9180d-dbd6-4e67-974d-d52712ea4dd8","year":null},"citing_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T23:04:43.798563Z"},"links":{"citing_paper":"/paper/2506.21629"},"observation_digest":"sha256:e563c9f55e298dbdfd472ac36173d1a5e020f1751e1ec8ae933e887ed69eeada","observation_id":"354d5b6c-09bd-4c4e-950a-ffa4171274af","resolution":{"observed_at":"2026-08-06T23:04:45.150356Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T23:04:45.135329Z","title":null,"venue":null,"work_id":"19deebd1-748c-4e47-823e-c5cea87902fb","year":null},"citing_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T23:04:43.825217Z"},"links":{"citing_paper":"/paper/2506.21629"},"observation_digest":"sha256:09586f94dc4fa1905334c095da4f6ab7a08566a0f5918b191fe4b515d6c91138","observation_id":"31e29d4a-e9c9-457e-ba8e-f08249a4feba","resolution":{"observed_at":"2026-08-06T23:04:45.138871Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T23:04:45.092121Z","title":"We propose an SFM-free 3D Gaussian method for large-scale unbounded scenes","venue":null,"work_id":"66730a8a-2354-4d02-a4fe-d598abe6dba6","year":null},"citing_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T23:04:43.978436Z"},"links":{"citing_paper":"/paper/2506.21629"},"observation_digest":"sha256:17d4284910846fc437204a61676552af94beff9d7119003c4b05d6756cc0e485","observation_id":"cbe936af-dfc1-4c96-beb0-041820add7e2","resolution":{"observed_at":"2026-08-06T23:04:45.096131Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T23:04:45.031625Z","title":"Barf: Bundle-adjusting neural radiance fields,","venue":null,"work_id":"19a5d6a7-5f22-4330-9ec9-d9b968e17603","year":2021},"citing_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T23:04:44.335191Z"},"links":{"citing_paper":"/paper/2506.21629"},"observation_digest":"sha256:9e25244888e9fe953aa64ae9cde33fc7bca8d090bf09d12c48798304ec74bd76","observation_id":"e3563222-7dda-475b-9a24-95a578e7f1e4","resolution":{"observed_at":"2026-08-06T23:04:45.036706Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T23:04:45.016544Z","title":"Gaussian activated neural radiance fields for high fi- delity reconstruction and pose estimation,","venue":null,"work_id":"ef7f690b-6dd3-435c-8d2f-29c2b6df4923","year":2022},"citing_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T23:04:44.390174Z"},"links":{"citing_paper":"/paper/2506.21629"},"observation_digest":"sha256:31cb0c70d7d3927ea729caef53ad07b5ff01f33633596363516fd4109da34dc6","observation_id":"f7f98b52-5a71-4a38-a4cf-f7fabbb5457c","resolution":{"observed_at":"2026-08-06T23:04:45.021367Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T23:04:45.116367Z","title":null,"venue":null,"work_id":"708b98ce-470b-4602-81fd-56836f9da16c","year":null},"citing_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T23:04:43.858027Z"},"links":{"citing_paper":"/paper/2506.21629"},"observation_digest":"sha256:757d596eed66d13c10b757142f4db8d9527ac131dc0cb38a9ff6363880c01d2b","observation_id":"79d6bfae-8fae-4ba8-9ed8-3c3b18393c57","resolution":{"observed_at":"2026-08-06T23:04:45.119744Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T23:04:45.104395Z","title":"S mask” denotes the sky mask, and “VB-Den","venue":null,"work_id":"93e5a313-af88-472d-8253-5622247dd92b","year":null},"citing_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T23:04:43.889305Z"},"links":{"citing_paper":"/paper/2506.21629"},"observation_digest":"sha256:31345870238b0d9e7ab1ad51bfd0e37f7c7faefd457e46820524ca8cfc90e55b","observation_id":"efdd2f7f-8cde-4eb4-b36a-e8e289276672","resolution":{"observed_at":"2026-08-06T23:04:45.108741Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T23:04:45.072131Z","title":"Nerf: representing scenes as neural radiance fields for view synthesis,","venue":null,"work_id":"4c8463f3-10d3-4406-bcdc-4de24db365d3","year":2021},"citing_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T23:04:44.104294Z"},"links":{"citing_paper":"/paper/2506.21629"},"observation_digest":"sha256:4202e1fcffbd49bdab36fd500d503fb6375eebc96e91117b8bc662ba017da53c","observation_id":"af9523fd-db38-4f7a-a4c6-cb3b124aa9e2","resolution":{"observed_at":"2026-08-06T23:04:45.076121Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T23:04:45.059369Z","title":"3d gaussian splatting for real-time radiance field ren- dering,","venue":null,"work_id":"199cc09c-07ed-46a8-ae64-f3bed5eb2c38","year":2023},"citing_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T23:04:44.139484Z"},"links":{"citing_paper":"/paper/2506.21629"},"observation_digest":"sha256:af737998cf2349bb67ada58aa925fb6549f5c49d0ae44df2fc6886a061536072","observation_id":"fc01626f-d9a5-4174-baaa-d1ee80623952","resolution":{"observed_at":"2026-08-06T23:04:45.063872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T23:04:45.044615Z","title":"Structure-from- motion revisited,","venue":null,"work_id":"ed18a619-a9f9-4937-acdc-f6b156a9299b","year":2016},"citing_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T23:04:44.167436Z"},"links":{"citing_paper":"/paper/2506.21629"},"observation_digest":"sha256:4ca2c04d98aa93fe40897fb9ced01a1f2d2e4720535a508264e9a94e906b6187","observation_id":"1eb46cb6-cb17-4bb3-9d1c-2959258b5089","resolution":{"observed_at":"2026-08-06T23:04:45.049227Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.07064","last_updated":"2022-04-06T13:13:12Z","snapshot_observed_at":"2026-08-02T15:44:43.238514Z","submitted_at":"2021-02-14T03:52:34Z","title":"NeRF--: Neural Radiance Fields Without Known Camera Parameters","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.07064","snapshot_observed_at":"2026-08-06T23:04:44.253947Z","title":"Nerf–: Neural radiance fields without known camera parameters,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T23:04:44.253947Z"},"links":{"cited_paper":"/paper/2102.07064","citing_paper":"/paper/2506.21629"},"observation_digest":"sha256:24e0bce8b2d4942096a91d69a823e98e976518a2d74fc106ed901db900097f3e","observation_id":"6f9ad4df-c53d-4db1-9c78-bc593bae0f62","resolution":{"observed_at":"2026-08-06T23:04:44.253947Z","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":"2026-08-06T23:04:45.003710Z","title":"Nope-nerf: Optimising neural radiance field with no pose prior,","venue":null,"work_id":"542706d5-29ed-4601-81f9-43dd87d5eb75","year":2023},"citing_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T23:04:44.557580Z"},"links":{"citing_paper":"/paper/2506.21629"},"observation_digest":"sha256:1405dda4e23581ed94955dfa10c461aa91f8a01c5b92f562ad1bd3f80a0d1f70","observation_id":"49503a7a-f701-4db2-b493-830ce35d616c","resolution":{"observed_at":"2026-08-06T23:04:45.007318Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T23:04:44.992474Z","title":"Colmap-free 3d gaussian splatting,","venue":null,"work_id":"11f848e6-7874-4535-b36a-4a4e22dd48c7","year":2024},"citing_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T23:04:44.566948Z"},"links":{"citing_paper":"/paper/2506.21629"},"observation_digest":"sha256:158f51bdced0007027d4f5a4eb2f0228cc512268e3e56d93d530479516c34420","observation_id":"6a72992e-3706-4c3b-9d21-ad79e6bdf326","resolution":{"observed_at":"2026-08-06T23:04:44.996256Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T23:04:44.981967Z","title":"Free-SurGS: SfM-Free 3D Gaussian Splatting for Surgical Scene Reconstruction ,","venue":null,"work_id":"a23dd622-223d-4a7e-9507-31aa36defcf1","year":2024},"citing_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T23:04:44.615966Z"},"links":{"citing_paper":"/paper/2506.21629"},"observation_digest":"sha256:bfc02d192fecb9a250b11dbff2212b128bf335906dbfbca23acee971f694565b","observation_id":"4423446a-5b7b-4792-b9b7-add747886d2b","resolution":{"observed_at":"2026-08-06T23:04:44.985299Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.08107","last_updated":"2025-03-25T02:40:31Z","snapshot_observed_at":"2026-07-06T19:31:18.802964Z","submitted_at":"2024-10-10T16:54:23Z","title":"IncEventGS: Pose-Free Gaussian Splatting from a Single Event Camera","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.08107","snapshot_observed_at":"2026-08-06T23:04:44.652427Z","title":"Inceventgs: Pose-free gaussian splatting from a single event camera,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T23:04:44.652427Z"},"links":{"cited_paper":"/paper/2410.08107","citing_paper":"/paper/2506.21629"},"observation_digest":"sha256:5a4723209ca45bf46d8c4d369c681e6b520a0131b2fe3c03914859bdadae7020","observation_id":"4f4d3a4a-ba49-40a0-b55a-0da91c3006e8","resolution":{"observed_at":"2026-08-06T23:04:44.652427Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.12378","last_updated":"2025-04-07T14:07:31Z","snapshot_observed_at":"2026-08-06T23:01:22.929024Z","submitted_at":"2024-04-18T17:58:16Z","title":"6Img-to-3D: Few-Image Large-Scale Outdoor Driving Scene Reconstruction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.12378","snapshot_observed_at":"2026-08-06T23:04:44.695862Z","title":"6img-to-3d: Few-image large-scale outdoor driving scene reconstruction,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T23:04:44.695862Z"},"links":{"cited_paper":"/paper/2404.12378","citing_paper":"/paper/2506.21629"},"observation_digest":"sha256:411281c622b289cf86b818dcdcd58e47b728d5063f230e2aa5cfef5402e370b0","observation_id":"827192b8-1645-4ddb-be85-2f67964204f8","resolution":{"observed_at":"2026-08-06T23:04:44.695862Z","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":"2026-08-06T23:04:44.970726Z","title":"Generalized-icp.,","venue":null,"work_id":"6a1d9a80-aa35-41f1-b0dd-6adea7fc675d","year":2009},"citing_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T23:04:44.708491Z"},"links":{"citing_paper":"/paper/2506.21629"},"observation_digest":"sha256:b46ddb42582572c8eec67bd6ccdc4f4df7e41b4cd143a27ada1c127ba2051449","observation_id":"df85a8e4-35db-491a-8488-040ecac11028","resolution":{"observed_at":"2026-08-06T23:04:44.974359Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T23:04:44.952732Z","title":"Metric3d v2: A versatile monocular geometric foundation model for zero-shot metric depth and surface normal estimation,","venue":null,"work_id":"7bb7e6c5-c413-4a8d-ab46-302278933e87","year":2024},"citing_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T23:04:44.717187Z"},"links":{"citing_paper":"/paper/2506.21629"},"observation_digest":"sha256:a46483bc9a8d2f0d9a45bc623ef2389b7e2ef2bc43b976d258d2b36ddc4a176c","observation_id":"5b5192c4-42cf-4b11-94e5-9a0202f66364","resolution":{"observed_at":"2026-08-06T23:04:44.961826Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T23:04:44.938081Z","title":"Tangent space backpropagation for 3d transformation groups,","venue":null,"work_id":"db499b4e-11cd-4f1a-856c-4de43de7039b","year":2021},"citing_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T23:04:44.720895Z"},"links":{"citing_paper":"/paper/2506.21629"},"observation_digest":"sha256:b70acdd0bdb293d38fccd09c2f0360198e7cbefa207a7e7380639fc3b310f87a","observation_id":"67946b35-3b40-4192-a8ef-e4a05854cd48","resolution":{"observed_at":"2026-08-06T23:04:44.941950Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T23:04:44.920778Z","title":"A method for registration of 3-d shapes,","venue":null,"work_id":"0a200d61-a4a0-4aa4-b81f-f63cc3e06a2f","year":1992},"citing_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T23:04:44.724810Z"},"links":{"citing_paper":"/paper/2506.21629"},"observation_digest":"sha256:9cc5e38c65d99e0a65e411ee168c9ed3f1e65eab31dc879c01eb2d725b4aec73","observation_id":"2af91b91-75a7-4a5b-b775-3d75bab4ada9","resolution":{"observed_at":"2026-08-06T23:04:44.924982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T23:04:44.907510Z","title":"Revis- ing densification in gaussian splatting,","venue":null,"work_id":"beb7625c-143a-4f54-94d4-54945358439c","year":2024},"citing_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T23:04:44.728343Z"},"links":{"citing_paper":"/paper/2506.21629"},"observation_digest":"sha256:cdc0b00fafed6dd0cae9286dd2f318cc3a9a5a495b3c6f5bf95e75cd08767ac1","observation_id":"e424a1c0-c288-4b79-9771-a3f1c7edc7b7","resolution":{"observed_at":"2026-08-06T23:04:44.911781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T23:04:44.893718Z","title":"Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d,","venue":null,"work_id":"0416ca3c-ba84-466a-b2cf-ad5ac923b17d","year":2023},"citing_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T23:04:44.733109Z"},"links":{"citing_paper":"/paper/2506.21629"},"observation_digest":"sha256:29814d14079de69f9687630ffb769bceb65cc24ef8935dbc91d200b53ac35c3a","observation_id":"39a98907-8e19-4e12-b6e9-907a88479ab0","resolution":{"observed_at":"2026-08-06T23:04:44.898573Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T23:04:44.878686Z","title":"Tanks and temples: benchmarking large-scale scene re- construction,","venue":null,"work_id":"17b07d6a-db11-4e3b-9d50-9de34970ef4b","year":2017},"citing_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T23:04:44.737109Z"},"links":{"citing_paper":"/paper/2506.21629"},"observation_digest":"sha256:9d84b85289e890a551eeff8decf99141908441fe74d1587cdf76e2b790eacf46","observation_id":"369dc3ac-312c-47b4-865f-3ed92591a75e","resolution":{"observed_at":"2026-08-06T23:04:44.882914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T23:04:44.865974Z","title":"Lightning nerf: Ef- ficient hybrid scene representation for autonomous driv- ing,","venue":null,"work_id":"d647d500-5e8a-4a07-a2d4-183c3d79f78b","year":2024},"citing_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T23:04:44.741371Z"},"links":{"citing_paper":"/paper/2506.21629"},"observation_digest":"sha256:36a2122896d795502a21d6a24181fa36312b5c0e1c214fc3c525ca1e624a42d5","observation_id":"d4e05194-5555-4ae6-847d-6906f0e67aae","resolution":{"observed_at":"2026-08-06T23:04:44.870416Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T23:04:44.848901Z","title":"Im- age quality assessment: from error visibility to struc- tural similarity,","venue":null,"work_id":"f19ac068-8f3b-4543-a697-8c5c8a342725","year":2004},"citing_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T23:04:44.744938Z"},"links":{"citing_paper":"/paper/2506.21629"},"observation_digest":"sha256:929398d63b801e6ba0992282fc2c12ee85d17fa11c12c582cad94976bd3fec6e","observation_id":"6653d1aa-a608-4633-ae10-957a67337f23","resolution":{"observed_at":"2026-08-06T23:04:44.854118Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T23:04:44.832510Z","title":"The unreasonable effectiveness of deep fea- tures as a perceptual metric,","venue":null,"work_id":"55d49a02-289a-4dbd-9390-ec14ca3a43db","year":2018},"citing_paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T23:04:44.748448Z"},"links":{"citing_paper":"/paper/2506.21629"},"observation_digest":"sha256:4536616cbc4f9679b0c5761b8e1ad91626b6ff3e66755c6f5a583ab3d6823c8c","observation_id":"1386d3a1-f35b-443c-a821-9787a539e10d","resolution":{"observed_at":"2026-08-06T23:04:44.838270Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.21629","last_updated":"2025-06-24T21:10:06Z","latest_version":1,"primary_category":"cs.GR","snapshot_observed_at":"2026-08-07T12:28:27.772011Z","submitted_at":"2025-06-24T21:10:06Z","title":"ICP-3DGS: SfM-free 3D Gaussian Splatting for Large-scale Unbounded Scenes"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":1,"verified_fuzzy":21},"total_outbound_references":27},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2506.21629."}