{"as_of":"2026-08-09T02:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2c8364dcbbf3198de795e8d3ab5853c1826396733af0f6a2993f3b9e5806cb76","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":10,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T12:14:26.548007Z","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":"2026-05-23T07:32:42.619572Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.17822","last_updated":"2024-11-07T13:34:24Z","snapshot_observed_at":"2026-08-08T14:17:43.440812Z","submitted_at":"2024-03-26T16:00:31Z","title":"DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing","version":3},"cited_work":{"arxiv_id":"2403.17822","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.17822","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Turkulainen, X","venue":null,"work_id":"b73eeae9-3a7d-42ac-bef0-6bc50cb7fb7c","year":2024},"citing_paper":{"arxiv_id":"2412.09176","last_updated":"2026-04-15T06:25:02Z","snapshot_observed_at":"2026-08-02T17:12:11.404687Z","submitted_at":"2024-12-12T11:06:36Z","title":"LIVE-GS: LLM Powers Interactive VR Experience with Physics-Aware Gaussian Splatting","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-23T07:32:39.047695Z"},"links":{"cited_paper":"/paper/2403.17822","citing_paper":"/paper/2412.09176"},"observation_digest":"sha256:17b483e31d65c535d17f04278c27f548fdced394fd62c0c05f1c80021f063ec7","observation_id":"b079d839-1eb1-4a8e-910a-b116ae27b3a1","resolution":{"observed_at":"2026-05-23T07:32:42.623296Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17822","last_updated":"2024-11-07T13:34:24Z","snapshot_observed_at":"2026-08-08T14:17:43.440812Z","submitted_at":"2024-03-26T16:00:31Z","title":"DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.17822","snapshot_observed_at":"2026-08-08T12:14:26.548007Z","title":"Dn-splatter: Depth and normal priors for gaussian splatting and meshing","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.07615","last_updated":"2025-02-11T15:05:26Z","snapshot_observed_at":"2026-08-08T14:18:07.979111Z","submitted_at":"2025-02-11T15:05:26Z","title":"Flow Distillation Sampling: Regularizing 3D Gaussians with Pre-trained Matching Priors","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T12:14:26.548007Z"},"links":{"cited_paper":"/paper/2403.17822","citing_paper":"/paper/2502.07615"},"observation_digest":"sha256:2f6b804802d16ec239ece2e784b84091dacd67b0174bd90479aceda038d201b1","observation_id":"53f2e3ef-4882-4a68-90a8-13e6ceb00538","resolution":{"observed_at":"2026-08-08T12:14:26.548007Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17822","last_updated":"2024-11-07T13:34:24Z","snapshot_observed_at":"2026-08-08T14:17:43.440812Z","submitted_at":"2024-03-26T16:00:31Z","title":"DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing","version":3},"cited_work":{"arxiv_id":"2403.17822","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.17822","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Turkulainen, X","venue":null,"work_id":"b73eeae9-3a7d-42ac-bef0-6bc50cb7fb7c","year":2024},"citing_paper":{"arxiv_id":"2503.06740","last_updated":"2026-04-30T20:13:52Z","snapshot_observed_at":"2026-07-06T20:49:27.466064Z","submitted_at":"2025-03-09T19:48:00Z","title":"Diffusion Models are Secretly Zero-Shot 3DGS Harmonizers","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-23T00:10:15.141684Z"},"links":{"cited_paper":"/paper/2403.17822","citing_paper":"/paper/2503.06740"},"observation_digest":"sha256:41694867ab87c52c4f831b5386c2ec90a195081e5172dcecac93dc3740e09e32","observation_id":"d4fb4aae-067b-4600-8991-c8308b4d3ce7","resolution":{"observed_at":"2026-05-23T00:12:17.653412Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17822","last_updated":"2024-11-07T13:34:24Z","snapshot_observed_at":"2026-08-08T14:17:43.440812Z","submitted_at":"2024-03-26T16:00:31Z","title":"DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.17822","snapshot_observed_at":"2026-08-07T14:31:09.111198Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18649","last_updated":"2025-05-24T11:33:57Z","snapshot_observed_at":"2026-08-07T21:11:57.569744Z","submitted_at":"2025-05-24T11:33:57Z","title":"SuperGS: Consistent and Detailed 3D Super-Resolution Scene Reconstruction via Gaussian Splatting","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:09.111198Z"},"links":{"cited_paper":"/paper/2403.17822","citing_paper":"/paper/2505.18649"},"observation_digest":"sha256:1dce0fca5083c0eed86a1ea19119720fb49c0a35a43b0188428af02bc3d5c924","observation_id":"4e254ab4-11b5-4257-aec4-bd2ac78c0f8b","resolution":{"observed_at":"2026-08-07T14:31:09.111198Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17822","last_updated":"2024-11-07T13:34:24Z","snapshot_observed_at":"2026-08-08T14:17:43.440812Z","submitted_at":"2024-03-26T16:00:31Z","title":"DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.17822","snapshot_observed_at":"2026-08-06T14:22:13.409746Z","title":"Dn-splatter: Depth and normal priors for gaussian splatting and meshing.arXiv preprint arXiv:2403.17822, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.19451","last_updated":"2025-08-02T16:10:54Z","snapshot_observed_at":"2026-08-06T20:10:21.455978Z","submitted_at":"2025-07-25T17:33:23Z","title":"GS-Occ3D: Scaling Vision-only Occupancy Reconstruction with Gaussian Splatting","version":3},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-06T14:22:13.409746Z"},"links":{"cited_paper":"/paper/2403.17822","citing_paper":"/paper/2507.19451"},"observation_digest":"sha256:d869353993ca1da2b2c30280566ca62dc5b97dfc253a428bef30293d1cf52933","observation_id":"416ca6c2-0fd7-420a-8700-db844dd844b3","resolution":{"observed_at":"2026-08-06T14:22:13.409746Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17822","last_updated":"2024-11-07T13:34:24Z","snapshot_observed_at":"2026-08-08T14:17:43.440812Z","submitted_at":"2024-03-26T16:00:31Z","title":"DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.17822","snapshot_observed_at":"2026-08-05T22:14:24.089697Z","title":"DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.07355","last_updated":"2025-08-10T14:13:31Z","snapshot_observed_at":"2026-08-08T14:21:16.788449Z","submitted_at":"2025-08-10T14:13:31Z","title":"GS4Buildings: Prior-Guided Gaussian Splatting for 3D Building Reconstruction","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-05T22:14:24.089697Z"},"links":{"cited_paper":"/paper/2403.17822","citing_paper":"/paper/2508.07355"},"observation_digest":"sha256:466d2a5aad00f69f4b582217b1fcccaa72ab40eaee824f1e89d21037f04befc5","observation_id":"f37bbc8a-752a-4a24-92b4-501a5d8cbf76","resolution":{"observed_at":"2026-08-05T22:14:24.089697Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17822","last_updated":"2024-11-07T13:34:24Z","snapshot_observed_at":"2026-08-08T14:17:43.440812Z","submitted_at":"2024-03-26T16:00:31Z","title":"DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.17822","snapshot_observed_at":"2026-08-05T17:59:47.364375Z","title":"arXiv preprint arXiv:2403.17822 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.15370","last_updated":"2025-08-21T09:00:01Z","snapshot_observed_at":"2026-08-08T19:24:52.058915Z","submitted_at":"2025-08-21T09:00:01Z","title":"Unveiling Trust in Multimodal Large Language Models: Evaluation, Analysis, and Mitigation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-05T17:59:47.364375Z"},"links":{"cited_paper":"/paper/2403.17822","citing_paper":"/paper/2508.15370"},"observation_digest":"sha256:203c93f13f558c6b1ba8b7ea4c426b3663513634221edfb7a13ec1ce7740f47f","observation_id":"70183d25-dca0-4a20-a6de-7759bc77e5eb","resolution":{"observed_at":"2026-08-05T17:59:47.364375Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17822","last_updated":"2024-11-07T13:34:24Z","snapshot_observed_at":"2026-08-08T14:17:43.440812Z","submitted_at":"2024-03-26T16:00:31Z","title":"DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.17822","snapshot_observed_at":"2026-08-05T12:10:09.540730Z","title":"Dn-splatter: Depth and normal priors for gaussian splatting and meshing","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.01873","last_updated":"2025-09-02T01:35:44Z","snapshot_observed_at":"2026-08-07T21:12:34.083134Z","submitted_at":"2025-09-02T01:35:44Z","title":"Doctoral Thesis: Geometric Deep Learning For Camera Pose Prediction, Registration, Depth Estimation, and 3D Reconstruction","version":1},"reference_index":238,"source":"pdf_text","source_observed_at":"2026-08-05T12:10:09.540730Z"},"links":{"cited_paper":"/paper/2403.17822","citing_paper":"/paper/2509.01873"},"observation_digest":"sha256:8afbcaf99761110e0d1792eda357dffcdd3c3a33abe5b11e145f8f053dffc721","observation_id":"70e7be0e-fc68-43d8-9191-8708196d7277","resolution":{"observed_at":"2026-08-05T12:10:09.540730Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17822","last_updated":"2024-11-07T13:34:24Z","snapshot_observed_at":"2026-08-08T14:17:43.440812Z","submitted_at":"2024-03-26T16:00:31Z","title":"DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.17822","snapshot_observed_at":"2026-08-04T09:48:50.198550Z","title":"Dn-splatter: Depth and normal priors for gaussian splatting and meshing.arXiv preprint arXiv:2403.17822, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.13381","last_updated":"2025-10-15T10:21:36Z","snapshot_observed_at":"2026-08-08T16:43:11.036697Z","submitted_at":"2025-10-15T10:21:36Z","title":"Leveraging 2D Priors and SDF Guidance for Dynamic Urban Scene Rendering","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-04T09:48:50.198550Z"},"links":{"cited_paper":"/paper/2403.17822","citing_paper":"/paper/2510.13381"},"observation_digest":"sha256:786769924ed1dbc6a467f0d67f089bab7b3d038206244ce39ac46fd64355e833","observation_id":"29145a68-5284-4454-83be-397286d76fec","resolution":{"observed_at":"2026-08-04T09:48:50.198550Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17822","last_updated":"2024-11-07T13:34:24Z","snapshot_observed_at":"2026-08-08T14:17:43.440812Z","submitted_at":"2024-03-26T16:00:31Z","title":"DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.17822","snapshot_observed_at":"2026-08-01T02:43:09.892070Z","title":"arXiv preprint arXiv:2403.17822 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25362","last_updated":"2026-07-28T07:13:11Z","snapshot_observed_at":"2026-08-08T14:18:28.825287Z","submitted_at":"2026-07-28T07:13:11Z","title":"PanoLess: Environment Reconstruction from Partial Reflective Views","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-01T02:43:09.892070Z"},"links":{"cited_paper":"/paper/2403.17822","citing_paper":"/paper/2607.25362"},"observation_digest":"sha256:7c1f9224b8a0f1534fac10d0d6c0588c9a758d35d3d71df8465237187ea93f33","observation_id":"bdd9f423-49d6-465e-be9c-4f0cb1698b46","resolution":{"observed_at":"2026-08-01T02:43:09.892070Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2403.17822/citation-record","integrity":"/paper/2403.17822/integrity","json":"/paper/2403.17822/citation-record.json","paper":"/paper/2403.17822"},"outbound":[],"paper":{"arxiv_id":"2403.17822","last_updated":"2024-11-07T13:34:24Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T14:17:43.440812Z","submitted_at":"2024-03-26T16:00:31Z","title":"DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2403.17822."}