{"as_of":"2026-08-16T10:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7941dcb17583d5ce6982df024010acd1846b52b7f1c6019e0b29c387bc88a7c3","coverage":[{"denominator":74,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":74,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T15:53:18.371979Z","state":"measured"},{"denominator":77,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":77,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-28T22:49:55.531147Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-06-28T22:52:45.287628Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"cited_work":{"arxiv_id":"2509.17246","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2509.17246","snapshot_observed_at":"2026-07-01T01:17:10.978622Z","title":"arXiv preprint arXiv:2509.17246 (2025) 4","venue":null,"work_id":"08f10b66-cc9b-47bb-b98e-9ceb5cedf154","year":2025},"citing_paper":{"arxiv_id":"2604.02546","last_updated":"2026-07-02T01:57:06Z","snapshot_observed_at":"2026-08-11T13:12:07.651912Z","submitted_at":"2026-04-02T21:54:43Z","title":"RGB-Pointmap Pretraining for Unified 3D Scene Understanding","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-13T21:19:49.421653Z"},"links":{"cited_paper":"/paper/2509.17246","citing_paper":"/paper/2604.02546"},"observation_digest":"sha256:1be4c7d6c512229ff778a322d188e747f5c6049d4700f3d6ef264ac813ddefc7","observation_id":"cfc00bff-b925-434e-bec1-9fe5a4f1bd72","resolution":{"observed_at":"2026-07-01T01:17:10.978622Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"cited_work":{"arxiv_id":"2509.17246","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2509.17246","snapshot_observed_at":"2026-07-01T01:17:10.978622Z","title":"arXiv preprint arXiv:2509.17246 (2025) 4","venue":null,"work_id":"08f10b66-cc9b-47bb-b98e-9ceb5cedf154","year":2025},"citing_paper":{"arxiv_id":"2604.14025","last_updated":"2026-04-15T16:07:18Z","snapshot_observed_at":"2026-07-06T23:01:55.698452Z","submitted_at":"2026-04-15T16:07:18Z","title":"Feed-Forward 3D Scene Modeling: A Problem-Driven Perspective","version":1},"reference_index":228,"source":"pdf_text","source_observed_at":"2026-05-10T13:13:42.052386Z"},"links":{"cited_paper":"/paper/2509.17246","citing_paper":"/paper/2604.14025"},"observation_digest":"sha256:b5af8aff94e2ca2ba1b3535805347ac6a0cefcfa1a27584c12c3d7e73b092b87","observation_id":"0da29a0e-af26-4501-87be-176b9316d0cd","resolution":{"observed_at":"2026-07-01T01:17:10.978622Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"cited_work":{"arxiv_id":"2509.17246","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2509.17246","snapshot_observed_at":"2026-07-01T01:17:10.978622Z","title":"arXiv preprint arXiv:2509.17246 (2025) 4","venue":null,"work_id":"08f10b66-cc9b-47bb-b98e-9ceb5cedf154","year":2025},"citing_paper":{"arxiv_id":"2605.31535","last_updated":"2026-05-29T16:50:27Z","snapshot_observed_at":"2026-08-07T01:35:17.053545Z","submitted_at":"2026-05-29T16:50:27Z","title":"RayDer: Scalable Self-Supervised Novel View Synthesis from Real-World Video","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-28T22:49:55.531147Z"},"links":{"cited_paper":"/paper/2509.17246","citing_paper":"/paper/2605.31535"},"observation_digest":"sha256:ab101205d72ad4f726386ac767fbd6c169a3b9c60599b1b2c58d73e053b43207","observation_id":"0014622f-f8b1-40de-b98e-661856b260fb","resolution":{"observed_at":"2026-07-01T01:17:10.978622Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2509.17246/citation-record","integrity":"/paper/2509.17246/integrity","json":"/paper/2509.17246/citation-record.json","paper":"/paper/2509.17246"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T15:53:17.937802Z","title":"Nerf: Representing scenes as neural radiance fields for view synthesis,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:17.937802Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:452191b400d51e205195ed3efdb2775564200427c4d352898bbd15219afb31cc","observation_id":"c7022c96-f342-4e70-a6ef-057da36e7a55","resolution":{"observed_at":"2026-08-15T15:53:17.937802Z","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":"2026-08-15T15:53:17.944279Z","title":"3d gaussian splatting for real-time radiance field rendering","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:17.944279Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:e4102641eac008a7a9d48a7a61d5b2b2415bcda11f31085fe8760619d930d98d","observation_id":"8b106a92-25a7-45b8-976b-5f27bcd7c137","resolution":{"observed_at":"2026-08-15T15:53:17.944279Z","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":"2026-08-15T15:53:17.950137Z","title":"Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:17.950137Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:3a683660e5d998f297292686e762e9241b1e1f385dc356bc51fa3b849d689a0d","observation_id":"3c4fc41c-f715-402a-981e-ad412fdaa2fd","resolution":{"observed_at":"2026-08-15T15:53:17.950137Z","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":"2026-08-15T15:53:17.955582Z","title":"Murf: multi-baseline radiance fields,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:17.955582Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:44ca8e6cc082bfa242dd65e1ed34e461d958b071d4ed452f4ab42439e04c47fc","observation_id":"ad03d3e3-365d-4d7e-83d7-73da25cbf0b3","resolution":{"observed_at":"2026-08-15T15:53:17.955582Z","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":"2026-08-15T15:53:17.960697Z","title":"pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d recon- struction,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:17.960697Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:50c1a3ae179574966683b719fbf657c3e3e6b18a368fdb2053d95729dd93d8ad","observation_id":"c3653031-5e63-4b51-99ac-b61aabe4f555","resolution":{"observed_at":"2026-08-15T15:53:17.960697Z","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":"2026-08-15T15:53:17.967100Z","title":"Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:17.967100Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:564c8b9819510e476b1b4ec57eaf2e8b5d3f59143f5a214c20bd43ba87e212cb","observation_id":"dbc7982a-663e-424e-94f7-76e018be96e6","resolution":{"observed_at":"2026-08-15T15:53:17.967100Z","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":"2026-08-15T15:53:19.547513Z","title":"No pose, no problem: Surprisingly simple 3d gaussian splats from sparse unposed images,","venue":null,"work_id":"c181f9a5-11c4-41a9-9ea9-aa09822e9a09","year":2025},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:17.973693Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:c82c284767a57f8b14024167cddd8dda3d4334602173ae634b2c9d519a2b0959","observation_id":"3252bb33-c6c7-461a-9625-582a363b43af","resolution":{"observed_at":"2026-08-15T15:53:19.553193Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.13912","last_updated":"2024-08-27T19:06:57Z","snapshot_observed_at":"2026-08-15T11:25:58.014520Z","submitted_at":"2024-08-25T18:27:20Z","title":"Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.13912","snapshot_observed_at":"2026-08-15T15:53:17.980782Z","title":"Splatt3r: Zero- shot gaussian splatting from uncalibrated image pairs,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:17.980782Z"},"links":{"cited_paper":"/paper/2408.13912","citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:7ff8fd3f779b144d5cd6b9803fe57956fb7909392cbef6ec4e2788ebcc7c383a","observation_id":"6c8a5876-f4ca-4ae6-b99a-5a1cd25502c5","resolution":{"observed_at":"2026-08-15T15:53:17.980782Z","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":"2026-08-15T15:53:17.987370Z","title":"Gs-lrm: Large reconstruction model for 3d gaussian splatting,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:17.987370Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:fef02ac58caa7b9225e94f12c14ef7f8a3b7c6bf1e2e02c67cac037caa1ed6cc","observation_id":"4e997a40-72cb-4713-b62d-f479079a04cc","resolution":{"observed_at":"2026-08-15T15:53:17.987370Z","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":"2026-08-15T15:53:17.993013Z","title":"Lgm: Large multi-view gaussian model for high-resolution 3d content creation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:17.993013Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:e4562b33bff1e86c051eab49e848ce0ee773384f72ac779c179a9815e57b4230","observation_id":"91bb14cb-6044-40bc-8fcf-5cb35dc49383","resolution":{"observed_at":"2026-08-15T15:53:17.993013Z","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":"2026-08-15T15:53:17.998661Z","title":"Grm: Large gaussian reconstruction model for efficient 3d reconstruction and generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:17.998661Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:52e53b37470e4f4fb5b27a3dc381c98d9cee0e556460d942adc3b95d0878a8f0","observation_id":"372976c0-0837-46d6-8f4d-d886144de445","resolution":{"observed_at":"2026-08-15T15:53:17.998661Z","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":"2026-08-15T15:53:19.482286Z","title":"LEAP: Liberate sparse- view 3d modeling from camera poses,","venue":null,"work_id":"7c7ce377-5cf8-42f2-a5b2-8ba60f2f5af2","year":2024},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.009371Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:10a924b8efabfe63da76590e3e912a5237cdbd58d11627e0d3e179427fb7b567","observation_id":"36f04224-15be-48ed-b112-575d2698d77f","resolution":{"observed_at":"2026-08-15T15:53:19.488246Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:53:19.463440Z","title":"PF-LRM: Pose-free large reconstruction model for joint pose and shape prediction,","venue":null,"work_id":"d12a4cc3-3087-458a-b0b7-79de1440e9e9","year":2024},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.016143Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:2cafd15375814240261d48dde96421ec0a864f692dab643320fbb69406364feb","observation_id":"4339e7b9-fc9f-49f0-8ba4-40af65daedbd","resolution":{"observed_at":"2026-08-15T15:53:19.469287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:53:19.445571Z","title":"Upfu- sion: Novel view diffusion from unposed sparse view observations,","venue":null,"work_id":"44f6d680-7b59-4503-8324-7d91d86f9f83","year":2024},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.025386Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:c1c6ce706355f06aab682cc4c6615c2853e605c9eb47e48e610d5b613c692566","observation_id":"7f50c4d2-bd5a-40d4-9e5d-3993e27e06c7","resolution":{"observed_at":"2026-08-15T15:53:19.451248Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:53:18.031241Z","title":"Scene representation transformer: Geometry-free novel view synthesis through set-latent scene representations,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.031241Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:20d8646d3242a4c645e2b334d4be8367ea92718c36951ae7e757fe6a510d1b40","observation_id":"1d84b614-bd9b-4ad4-9359-4845b1de1ba9","resolution":{"observed_at":"2026-08-15T15:53:18.031241Z","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":"2026-08-15T15:53:19.416904Z","title":"Unifying correspondence pose and nerf for generalized pose-free novel view synthesis,","venue":null,"work_id":"9a528926-78a8-425c-a4e3-3ba6b8007f3d","year":2024},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.037407Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:508cc4fdb8bae314b9ff8a15a1b15b6f3bab575dda5782fe5c317a9e0d4f1130","observation_id":"e30b8bbc-4e81-4dc2-bab3-d20953ea015f","resolution":{"observed_at":"2026-08-15T15:53:19.422452Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:53:19.399136Z","title":"Dbarf: Deep bundle-adjusting generalizable neural radiance fields,","venue":null,"work_id":"7b3797a5-7b06-447c-9f01-8f5492dc7644","year":2023},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.043100Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:061e8ab4d23364282b336e59a9574f8c16835f2dc9d02fda4ced20c0164704ba","observation_id":"e772b44b-e19b-46ba-a950-e4ff8191718e","resolution":{"observed_at":"2026-08-15T15:53:19.404794Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:53:19.381595Z","title":"Barf: Bundle-adjusting neural radiance fields,","venue":null,"work_id":"cca6de11-6029-4743-9485-2a35c7854c5e","year":2021},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.048161Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:eb50717199fa0d2c3e99cdb09a4164956686db8e41ad7b05f9ce641368e2bece","observation_id":"41575d16-dc28-4bf9-b6db-15cd6e99baa3","resolution":{"observed_at":"2026-08-15T15:53:19.386995Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.22128","last_updated":"2025-07-24T09:23:37Z","snapshot_observed_at":"2026-08-14T19:32:42.355200Z","submitted_at":"2024-10-29T15:28:15Z","title":"PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.22128","snapshot_observed_at":"2026-08-15T15:53:18.055189Z","title":"Pf3plat: Pose-free feed-forward 3d gaussian splatting,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.055189Z"},"links":{"cited_paper":"/paper/2410.22128","citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:58558223a4086c792fbc0bb99a813af84ef949a5d0f45a8e14d2ab589655d11f","observation_id":"d5775236-e8ea-4108-adbc-c86e787e7d88","resolution":{"observed_at":"2026-08-15T15:53:18.055189Z","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":"2026-08-15T15:53:19.363882Z","title":"Selfsplat: Pose-free and 3d prior-free generalizable 3d gaussian splat- ting,","venue":null,"work_id":"3f4c169d-516e-4931-80a4-1c3c55bdfbc8","year":2025},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.061844Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:65306fa2a1d1aba2f13344f89ae5fe85ad6703abe64b0c290fcc1a681d7db5a1","observation_id":"cbf8409b-616a-4621-a35a-3b9f76fc4392","resolution":{"observed_at":"2026-08-15T15:53:19.370177Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:53:18.067557Z","title":"No pose at all: Self-supervised pose-free 3d gaussian splatting from sparse views,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.067557Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:3253e54c1d6976cb45efda467fe7376fc11d787def93bca265ae3c8e66a9b8ca","observation_id":"f4fbacc1-4a05-43ea-87f9-b956667666db","resolution":{"observed_at":"2026-08-15T15:53:18.067557Z","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":"2026-08-15T15:53:18.073023Z","title":"Grounding image matching in 3d with mast3r,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.073023Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:98fdb19c044c1bfe7d30e124fdc8499a50211f6bc548f9e24ee56166bb5c0fe7","observation_id":"99144086-5ce4-484e-b71f-d7b41311c0bd","resolution":{"observed_at":"2026-08-15T15:53:18.073023Z","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":"2026-08-15T15:53:18.078791Z","title":"Vggt: Visual geometry grounded transformer,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.078791Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:ceddcd26df3590cb9852829ded3e7c54e526599e87353c901f62b1621f837c4a","observation_id":"09c89fd1-1dce-4e40-9831-d9a7d843b472","resolution":{"observed_at":"2026-08-15T15:53:18.078791Z","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":"2026-08-15T15:53:18.085057Z","title":"Instant neural graphics primitives with a multiresolution hash encoding,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.085057Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:9f11e37e5110f2645584301c73f26bc6cb8b1070f839a12b5e3f1b4e2c15e71c","observation_id":"642e4b46-8780-427b-b55d-0176ec85a3db","resolution":{"observed_at":"2026-08-15T15:53:18.085057Z","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":"2026-08-15T15:53:18.097678Z","title":"K-planes: Explicit radiance fields in space, time, and appearance,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.097678Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:2f0e8afa78c31136c372f63b72604c7c4045a6784fd56d4fd4b29111b1f34544","observation_id":"9d380a63-e4f6-4798-a5a6-0e9419611b16","resolution":{"observed_at":"2026-08-15T15:53:18.097678Z","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":"2026-08-15T15:53:18.108912Z","title":"Tensorf: Tensorial radiance fields,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.108912Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:85decb919b34eb2f2110dc47701987b315502015a40d3ef538ea61daea322f99","observation_id":"fda6f994-a313-40e3-87ed-fae547ca9986","resolution":{"observed_at":"2026-08-15T15:53:18.108912Z","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":"2026-08-15T15:53:18.114902Z","title":"Plenoxels: Radiance fields without neural networks,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.114902Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:c5e6a73b338cd5d0659dfa14bb562ed6ff10b0b03088ec882457893528b9c58d","observation_id":"64cc6737-bb16-47cf-8373-43370033d296","resolution":{"observed_at":"2026-08-15T15:53:18.114902Z","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":"2026-08-15T15:53:18.121033Z","title":"Dust3r: Geometric 3d vision made easy,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.121033Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:47643c75c50d3047174afd9466e219a3fa26514cb2cf969191793b93c6c1b2a7","observation_id":"a757d033-953f-4eb5-8a15-eb4ea738c88e","resolution":{"observed_at":"2026-08-15T15:53:18.121033Z","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":"2026-08-15T15:53:19.263934Z","title":"Relpose: Predicting prob- abilistic relative rotation for single objects in the wild,","venue":null,"work_id":"2452327e-f1b2-4e64-b993-7f810edfcfcc","year":2022},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.127131Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:4b9d61f8da3012639eccd513480dc9128bd061eba726fd9b026b9dd831f0040d","observation_id":"c023afb2-1f7b-425e-b849-1da2ceeb0505","resolution":{"observed_at":"2026-08-15T15:53:19.269759Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:53:19.247091Z","title":"Relpose++: Recov- ering 6d poses from sparse-view observations,","venue":null,"work_id":"ff485656-1725-411b-833e-068c490afa4b","year":2024},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.132462Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:108a2276e177a48dc1d0d085ddf0fa7af67db4c3e4536e81d17bcf30b17638a9","observation_id":"58fb2a9d-dfbc-4b97-b536-1bc0fbdf4bcc","resolution":{"observed_at":"2026-08-15T15:53:19.252464Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:53:19.230552Z","title":"Posediffusion: Solving pose estimation via diffusion-aided bundle adjustment,","venue":null,"work_id":"6f04f252-f9db-491d-9a37-afa9f68b09da","year":2023},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.138923Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:f58d4387f5daa6ce6580e40e782daff4e968e923bba2b35e6eb38fba81c1ee1e","observation_id":"d29e1e0e-1d13-43ea-9058-02e43cca2bca","resolution":{"observed_at":"2026-08-15T15:53:19.235875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:53:18.144526Z","title":"Sparf: Neural radiance fields from sparse and noisy poses,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.144526Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:e6b68d8154da625f655a9d63c7175701ceddeabddf04c7689a298ace1cfb6331","observation_id":"44c7452d-e72f-437e-a3f7-0f0ffcc256b9","resolution":{"observed_at":"2026-08-15T15:53:18.144526Z","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":"2026-08-15T15:53:18.149524Z","title":"Nope-nerf: Optimising neural radiance field with no pose prior,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.149524Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:0c179c9be401dc5f9300baf1175f6cc6d1874abda2e396473434c95670917326","observation_id":"a080ea82-0994-47cf-a6f3-49f9cfeca2d1","resolution":{"observed_at":"2026-08-15T15:53:18.149524Z","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":"2026-08-15T15:53:18.154455Z","title":"Colmap- free 3d gaussian splatting,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.154455Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:e0b4ac36b68fde8f052cd91cefa0d17a3118badb3fffae43f29f361591bdd9f3","observation_id":"02f1d10c-e305-4e30-aae6-6cf98c0cd0bb","resolution":{"observed_at":"2026-08-15T15:53:18.154455Z","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":"2026-08-15T15:53:19.172021Z","title":"Flowcam: Training gener- alizable 3d radiance fields without camera poses via pixel-aligned scene flow,","venue":null,"work_id":"285dd894-40fd-4f74-9830-7bf889d92a01","year":2023},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.162985Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:65a9de0683e60f6626bd5378f3817e0b3c58fb9934290df60d67d3bf73cd40c8","observation_id":"29be779a-e8b6-40d9-b61e-48d058f744e9","resolution":{"observed_at":"2026-08-15T15:53:19.184742Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:53:18.168581Z","title":"Lightglue: Local feature matching at light speed,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.168581Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:a271049dfb9ba6f7c6feb24721da42950da0f2200127e486ee1525119d157f11","observation_id":"3cf1809a-d381-4394-b6fb-f9fe27b0fe40","resolution":{"observed_at":"2026-08-15T15:53:18.168581Z","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":"2026-08-15T15:53:18.173726Z","title":"U-net: Convolutional networks for biomedical image segmentation,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.173726Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:a3bb64578c9e02f335c85c401b260aed7e570cb697fb2625cc916f49b793ed4f","observation_id":"f7390f07-e9e8-495f-a877-be294320640f","resolution":{"observed_at":"2026-08-15T15:53:18.173726Z","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":"2026-08-15T15:53:18.179234Z","title":"High- resolution image synthesis with latent diffusion models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.179234Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:76db2ca9a3683f5728760e1f19a3121d35b139eae577881cff142dc6b93e7460","observation_id":"b6b8a164-ec3a-49a0-9294-f15f788dee75","resolution":{"observed_at":"2026-08-15T15:53:18.179234Z","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":"2026-08-15T15:53:18.184102Z","title":"Hartley and A","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.184102Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:42169e8ea611757d705536efb507a7060064bee9b6f86151583e41532a55b774","observation_id":"7033f79e-f2e2-46cc-be9a-2c70bb8ae739","resolution":{"observed_at":"2026-08-15T15:53:18.184102Z","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":"2026-08-15T15:53:18.189252Z","title":"Structure-from-motion revisited,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.189252Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:b7af5fee7e672ced57af33a7a8ee967aafe1e79f79c79c04678e86f44dbe835d","observation_id":"89d0d13a-d040-432a-a856-b82c9895e1a3","resolution":{"observed_at":"2026-08-15T15:53:18.189252Z","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":"2026-08-15T15:53:18.194989Z","title":"Distinctive image features from scale-invariant keypoints,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.194989Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:92dd906d4dd73364a9700a776710c566ff63386d526b58eed44c1497b28d6a6f","observation_id":"d87408ab-aea3-4544-a9dc-3d8b7d2fcc8e","resolution":{"observed_at":"2026-08-15T15:53:18.194989Z","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":"2026-08-15T15:53:19.098178Z","title":"Speeded-up robust features (surf),","venue":null,"work_id":"f33b4828-30dd-4fe2-87df-48ff5730325b","year":2008},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.199970Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:9e37636df2d0c27ae75dfedbb7c7441950289ee962cff1fc745c6ea3721dabfc","observation_id":"92fc1c01-3274-45f8-834a-6bd810b6b690","resolution":{"observed_at":"2026-08-15T15:53:19.103588Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:53:19.080325Z","title":"Orb: An efficient alternative to sift or surf,","venue":null,"work_id":"8e2764df-3bb1-4ae8-82c8-f334bec5e2ba","year":2011},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.206245Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:20f7a3fbd7e85a1be871782c85cf515c46e95c26de0584f9b3fc86e7d1465df4","observation_id":"5d7b8c48-f672-42db-bea9-48550cb94e4d","resolution":{"observed_at":"2026-08-15T15:53:19.085955Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:53:19.062193Z","title":"Random sample consensus: a paradigm for model fitting with applications to image analysis and automated car- tography,","venue":null,"work_id":"66abc714-af21-46bb-b58d-6e0dc5900df5","year":1981},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.211399Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:540c53a3c3f9c041c7eb18398fc6f9ba7f72bb945d82534c6d9de0c279d7b6a1","observation_id":"2c51bf0d-10d5-412b-b05c-244060e4175c","resolution":{"observed_at":"2026-08-15T15:53:19.068173Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:53:19.044842Z","title":"Triangulation,","venue":null,"work_id":"35833a9e-8b96-42e1-b307-a45a9d30a594","year":1997},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.216292Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:0fa0c1940bce1751c9e34a8cd8b4620d1f1cfaff75a0fd8e63c8d94464442192","observation_id":"0e4b9431-33e9-44ed-b4df-73ef524febc2","resolution":{"observed_at":"2026-08-15T15:53:19.049935Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:53:19.026978Z","title":"Bundle adjustment—a modern synthesis,","venue":null,"work_id":"012c23d8-1e00-4a90-a27b-6950b0496f01","year":1999},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.221283Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:987855d97b4c6ff34dee8c6456945fd5c451aa0d6268770b5c2dd52dd9308903","observation_id":"3c002eec-ee11-461d-9f46-e8e3f8f2aea0","resolution":{"observed_at":"2026-08-15T15:53:19.032672Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:53:18.226644Z","title":"Superpoint: Self- supervised interest point detection and description,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.226644Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:81fbe2c2c9aa6f1c4d3fb591ddeb426436cabdf34799f4f8910ee01317f5bb38","observation_id":"a950cb71-2f80-4fdc-b338-21200e195333","resolution":{"observed_at":"2026-08-15T15:53:18.226644Z","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":"2026-08-15T15:53:18.998756Z","title":"D2-Net: A Trainable CNN for Joint Detection and Description of Local Features,","venue":null,"work_id":"7aace738-cc31-4804-94af-512ca1147910","year":2019},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.232598Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:9c091732c0880f3337d74d71f04944a6d282b9a70a494e7c9a3d1d7d668096e2","observation_id":"8ab8e5e4-3323-44d4-a6d7-03752bf7c134","resolution":{"observed_at":"2026-08-15T15:53:19.004635Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:53:18.980558Z","title":"Drkf: Distilled rotated kernel fusion for efficient rotation invariant descriptors in local feature matching,","venue":null,"work_id":"9486ae6b-3c90-4c14-ad47-db2de4d5c639","year":2023},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.238099Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:33f35dd84eb5cbd1b3560e5b3d45648addf207d314a9b853c3dcfef99cf990a0","observation_id":"df99bc7a-d8af-43a9-922d-e17bf6edc256","resolution":{"observed_at":"2026-08-15T15:53:18.986261Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:53:18.243388Z","title":"Aslfeat: Learning local features of accurate shape and localization,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.243388Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:978a46971a1f09de3ee6530fd73bce49087dbc0d3d93affe2c5c2f6c28962d7e","observation_id":"d369042a-698f-4b4e-9017-edd0044220e6","resolution":{"observed_at":"2026-08-15T15:53:18.243388Z","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":"2026-08-15T15:53:18.248847Z","title":"Superglue: Learning feature matching with graph neural networks,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.248847Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:f2383ff780f42be99792f4e4fd98c805a3c8df58000fb008ae91066cb25a8814","observation_id":"b2293cf1-da54-4ae1-be96-59b87abd7cef","resolution":{"observed_at":"2026-08-15T15:53:18.248847Z","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":"2026-08-15T15:53:18.254594Z","title":"Loftr: Detector- free local feature matching with transformers,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.254594Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:64d8f1bab492d3f8b27db58a6a47be97991c2bd3e321fbc4314314ed30f96d02","observation_id":"fa1f4cef-f93a-4cfe-883e-c7b3e93c79f7","resolution":{"observed_at":"2026-08-15T15:53:18.254594Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1806.04807","last_updated":"2019-08-25T19:20:00Z","snapshot_observed_at":"2026-08-14T19:04:28.594742Z","submitted_at":"2018-06-13T00:51:48Z","title":"BA-Net: Dense Bundle Adjustment Network","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.04807","snapshot_observed_at":"2026-08-15T15:53:18.261468Z","title":"Ba-net: Dense bundle adjustment network,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.261468Z"},"links":{"cited_paper":"/paper/1806.04807","citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:d3d3bdd4043fc73401adf71cee0564d169a6fba137611c9ef9d81780eeb5b141","observation_id":"0b2b9cc5-b059-4899-bdab-a7d15eed01cc","resolution":{"observed_at":"2026-08-15T15:53:18.261468Z","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":"2026-08-15T15:53:18.266921Z","title":"Vggsfm: Visual geometry grounded deep structure from motion,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.266921Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:7978acc3156db36236f112cbb92d6137d3ee592d44158de3136d834172ea057a","observation_id":"1aa058e1-19a6-4e0e-8666-f466aedb165e","resolution":{"observed_at":"2026-08-15T15:53:18.266921Z","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":"2026-08-15T15:53:18.912848Z","title":"Mv-dust3r+: Single-stage scene reconstruction from sparse views in 2 seconds,","venue":null,"work_id":"96b55595-2ecc-47b4-91f5-6a6ff9650114","year":2025},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.272486Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:a891f45aef804b47e6ebf5c577fc0929a5f644d208eacf210fa314bb161a3eab","observation_id":"29bd871a-6821-4d29-b6c9-df1ec0a880de","resolution":{"observed_at":"2026-08-15T15:53:18.918916Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:53:18.277826Z","title":"Fast3r: Towards 3d reconstruction of 1000+ images in one forward pass,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.277826Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:4ec2bc4d8ddc5ddec0e925c38946064118c16a376bd55772ca01431f3156ff06","observation_id":"2185387f-e119-46a1-94d0-f161dd6d35f7","resolution":{"observed_at":"2026-08-15T15:53:18.277826Z","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":"2026-08-15T15:53:18.883767Z","title":"Croco: Self- supervised pre-training for 3d vision tasks by cross-view completion,","venue":null,"work_id":"978063c9-6e22-40bb-bd09-c8f40abb35ef","year":2022},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.282932Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:accf699f17b7cae9feb72985d908bf17c398217e63c61f60db45227c67e84363","observation_id":"9a3ace2d-15da-40e4-81e7-556a0a42ea74","resolution":{"observed_at":"2026-08-15T15:53:18.889559Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:53:18.288286Z","title":"Flare: Feed-forward geometry, appearance and camera estimation from uncalibrated sparse views,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.288286Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:0685dfbad28ee009505d4c046ab6c6e8344c35a42b9d4e59643518c073df5c76","observation_id":"b69f1dd2-c3fb-4098-8926-683f0a2c8270","resolution":{"observed_at":"2026-08-15T15:53:18.288286Z","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":"2026-08-15T15:53:18.293985Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.293985Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:34cf6f7b7e5ba4a60bfd79404f6d41507ea92aa7ebe61b2d99b9556c8218d546","observation_id":"371d2af5-b37c-495a-b896-0b2b9293a7fd","resolution":{"observed_at":"2026-08-15T15:53:18.293985Z","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":"2026-08-15T15:53:18.299243Z","title":"Vision transformers for dense prediction,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.299243Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:a89bb5a81d4e5411006261b2e1e512e7f28d48cb7b9d7617b374c35a58e10024","observation_id":"ac331161-7aed-4476-8abd-79decd4de787","resolution":{"observed_at":"2026-08-15T15:53:18.299243Z","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":"2026-08-15T15:53:18.304224Z","title":"Accelerated coordi- nate encoding: Learning to relocalize in minutes using rgb and poses,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.304224Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:08587bd7fd3a8fcc2f8ac3d2a21fe3f44951d82e6543dbdc8f7c7aff271b6135","observation_id":"a7e5497a-66b7-4783-8015-5db87ea71abf","resolution":{"observed_at":"2026-08-15T15:53:18.304224Z","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":"2026-08-15T15:53:18.822121Z","title":"On the continuity of rotation representations in neural networks,","venue":null,"work_id":"6bb06b91-04d2-4e5b-a10c-59c6a46548c5","year":2025},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.309149Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:aec973d9e258f8b8d0b54016e55f56d59379beb8bfcc5e1446a4735b0443d6b5","observation_id":"416fd788-0295-4482-b91f-9c0dd98d20f7","resolution":{"observed_at":"2026-08-15T15:53:18.827171Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:53:18.313957Z","title":"The unreasonable effectiveness of deep features as a perceptual metric,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.313957Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:5c0bcaca2084e755f836a99cd0d3ce20e2a66ebcfe84c2a836da99abc5598c82","observation_id":"3e97b6a9-56c2-4abe-9a0f-0c601ed813bb","resolution":{"observed_at":"2026-08-15T15:53:18.313957Z","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":"2026-08-15T15:53:18.791111Z","title":"Scene coordinate reconstruction: Posing of image collections via incremental learning of a relocalizer,","venue":null,"work_id":"07bf92df-37ef-462e-adf0-83db61b80db1","year":2024},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.318816Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:42099a04e647a2740aee48c763abd3ff9e3e548e3fe05503c780c4bd890ee42d","observation_id":"beb7d01b-016c-4192-8ee1-cd1d92640200","resolution":{"observed_at":"2026-08-15T15:53:18.797198Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:53:18.772283Z","title":"Stereo magnification: learning view synthesis using multiplane images,","venue":null,"work_id":"ca6ae94a-647b-4295-962d-8d21e874de25","year":2018},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.323869Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:b6e190d786dc4576aeaf750c9b1d7e8ecbd04752c5eccee81b94377493a34dbe","observation_id":"b72c728b-565d-4540-89e3-7d1f0412d048","resolution":{"observed_at":"2026-08-15T15:53:18.779158Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:53:18.329568Z","title":"Infinite nature: Perpetual view generation of natural scenes from a single image,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.329568Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:02bd926ccca30cd6c1659b0edf9f131a4a2ad19171357869099159c866c2a2cc","observation_id":"239ff540-68e9-477e-ae74-67c3efc39a1a","resolution":{"observed_at":"2026-08-15T15:53:18.329568Z","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":"2026-08-15T15:53:18.334843Z","title":"Roma: Robust dense feature matching,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.334843Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:cead3974702cb3b0db90aeaae584f5d441d72260d064ef9d32a4f28513bf1241","observation_id":"f5be1bc7-7ef8-4d42-87b9-525432c3cbb2","resolution":{"observed_at":"2026-08-15T15:53:18.334843Z","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":"2026-08-15T15:53:18.339957Z","title":"Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.339957Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:1a543dd6142c41235e39439f7f563925215654f2a471ebd6e3d4b60bf9b27415","observation_id":"6b638b55-b491-4b8f-8681-d6770c161fe9","resolution":{"observed_at":"2026-08-15T15:53:18.339957Z","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":"2026-08-15T15:53:18.344753Z","title":"Large scale multi-view stereopsis evaluation,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.344753Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:c1b23ab81476838ec263a190c9280e11297021dab1b67061edaefb5fa7b27587","observation_id":"d13b7b29-7e3a-4c5c-b636-e263ab57f3b0","resolution":{"observed_at":"2026-08-15T15:53:18.344753Z","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":"2026-08-15T15:53:18.350317Z","title":"Scannet++: A high- fidelity dataset of 3d indoor scenes,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.350317Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:2353c49cc8f80ab4142024c873d9c380742f553470ae966ecedb6ecbe90c3810","observation_id":"61688298-b731-4068-a020-16edb8a5fa0d","resolution":{"observed_at":"2026-08-15T15:53:18.350317Z","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":"2026-08-15T15:53:18.355762Z","title":"Image quality assessment: from error visibility to structural similarity,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.355762Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:449af95e16580575e3c37d9065bc57c782cf1975cace67b9073ca0c3c913efab","observation_id":"d2ee141c-1706-4324-b57e-52902d73ecce","resolution":{"observed_at":"2026-08-15T15:53:18.355762Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.07193","last_updated":"2024-02-02T10:24:09Z","snapshot_observed_at":"2026-08-11T10:12:11.384939Z","submitted_at":"2023-04-14T15:12:19Z","title":"DINOv2: Learning Robust Visual Features without Supervision","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.07193","snapshot_observed_at":"2026-08-15T15:53:18.361604Z","title":"Dinov2: Learning robust visual features without supervision,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.361604Z"},"links":{"cited_paper":"/paper/2304.07193","citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:9e9c7c4a3da6ca203a6d6818d1836e25ba1af3b1f6859d4fce4bb32d5e178f84","observation_id":"9c9c2af0-9620-4c2a-a709-91299f12fe78","resolution":{"observed_at":"2026-08-15T15:53:18.361604Z","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":"2026-08-15T15:53:18.673995Z","title":"Real-time deep pose estimation with geodesic loss for image-to-template rigid registration,","venue":null,"work_id":"ecc45e24-dc80-416e-ac8c-489e7bb56111","year":2018},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.366909Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:3593066a1bd829315a8fd28680bbb025a8a42ef64b7bb7a4143a7552fc115a2d","observation_id":"ee74e6c6-4127-4852-80d5-c7de3bff2774","resolution":{"observed_at":"2026-08-15T15:53:18.680511Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:53:18.644292Z","title":"Croco v2: Improved cross-view completion pre-training for stereo matching and optical flow,","venue":null,"work_id":"6a067cc8-1db5-453a-9d09-fe250a2349a4","year":2023},"citing_paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-15T15:53:18.371979Z"},"links":{"citing_paper":"/paper/2509.17246"},"observation_digest":"sha256:8861fb221f902c32152ed4fb22cde3e22829993093ebd21d20cdd812efcf7324","observation_id":"a5193e3f-a5d2-4d61-bd14-c69168dc4131","resolution":{"observed_at":"2026-08-15T15:53:18.651642Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.17246","last_updated":"2026-06-29T20:24:33Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-15T15:46:07.957942Z","submitted_at":"2025-09-21T21:37:56Z","title":"SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views"},"reference_resolution":{"displayed":74,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":48,"verified_exact":0,"verified_fuzzy":26},"total_outbound_references":74},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 3 inbound Pith citation observations for arXiv:2509.17246."}