{"as_of":"2026-08-11T14:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3e41a70d8371684bd10f9e2eda2d7c6200ebd1cf2dd371d341c7daf293798034","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":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T20:54:55.429665Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2112.05131","last_updated":"2021-12-09T18:59:12Z","snapshot_observed_at":"2026-08-10T07:56:40.570069Z","submitted_at":"2021-12-09T18:59:12Z","title":"Plenoxels: Radiance Fields without Neural Networks","version":1},"cited_work":{"arxiv_id":"2112.05131","doi":"10.48550/arxiv.2112.05131","metadata_source":"arxiv_reference","pith_arxiv_id":"2112.05131","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Plenoxels: Radiance ﬁelds without neural networks","venue":"arXiv (Cornell University)","work_id":"cf2c8bd7-76d9-4bdb-9204-699ba4d68fe0","year":2021},"citing_paper":{"arxiv_id":"2205.13524","last_updated":"2026-05-20T07:43:28Z","snapshot_observed_at":"2026-08-04T03:06:17.088456Z","submitted_at":"2022-05-26T17:43:03Z","title":"PREF: Phasorial Embedding Fields for Compact Neural Representations","version":4},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-24T11:56:15.396088Z"},"links":{"cited_paper":"/paper/2112.05131","citing_paper":"/paper/2205.13524"},"observation_digest":"sha256:16b14781e0762615bcfa972c7e5a42be8524dc6a2cf07a78e77d68612d61d0ce","observation_id":"ff1797cc-7007-4e96-8b31-c8284338e3fc","resolution":{"observed_at":"2026-05-24T11:59:24.985685Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.05131","last_updated":"2021-12-09T18:59:12Z","snapshot_observed_at":"2026-08-10T07:56:40.570069Z","submitted_at":"2021-12-09T18:59:12Z","title":"Plenoxels: Radiance Fields without Neural Networks","version":1},"cited_work":{"arxiv_id":"2112.05131","doi":"10.48550/arxiv.2112.05131","metadata_source":"arxiv_reference","pith_arxiv_id":"2112.05131","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Plenoxels: Radiance ﬁelds without neural networks","venue":"arXiv (Cornell University)","work_id":"cf2c8bd7-76d9-4bdb-9204-699ba4d68fe0","year":2021},"citing_paper":{"arxiv_id":"2210.00379","last_updated":"2026-02-12T16:09:50Z","snapshot_observed_at":"2026-07-06T13:58:37.592838Z","submitted_at":"2022-10-01T21:35:11Z","title":"NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting)","version":8},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-24T10:32:20.149563Z"},"links":{"cited_paper":"/paper/2112.05131","citing_paper":"/paper/2210.00379"},"observation_digest":"sha256:186a52fa484bda9853d66faf4933afb45232b6c9a5e334082505410e74cb00f9","observation_id":"63c38f7a-ef7a-45fa-9217-e3835539d5e6","resolution":{"observed_at":"2026-05-24T10:34:20.506971Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.05131","last_updated":"2021-12-09T18:59:12Z","snapshot_observed_at":"2026-08-10T07:56:40.570069Z","submitted_at":"2021-12-09T18:59:12Z","title":"Plenoxels: Radiance Fields without Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.05131","snapshot_observed_at":"2026-08-10T20:54:55.429665Z","title":"arXiv preprint arXiv:2112.05131 2, 3 (2021),","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.07015","last_updated":"2025-04-11T19:44:39Z","snapshot_observed_at":"2026-08-10T20:47:16.573598Z","submitted_at":"2025-01-13T02:28:13Z","title":"SplatMAP: Online Dense Monocular SLAM with 3D Gaussian Splatting","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T20:54:55.429665Z"},"links":{"cited_paper":"/paper/2112.05131","citing_paper":"/paper/2501.07015"},"observation_digest":"sha256:82f6c72708d9957cfb9d46e8c5d13e3cd6c0656cd25ca2fb7e7e9d6538a10fc1","observation_id":"a4a8338d-50d4-4548-a0e8-f8d47074b734","resolution":{"observed_at":"2026-08-10T20:54:55.429665Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.05131","last_updated":"2021-12-09T18:59:12Z","snapshot_observed_at":"2026-08-10T07:56:40.570069Z","submitted_at":"2021-12-09T18:59:12Z","title":"Plenoxels: Radiance Fields without Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.05131","snapshot_observed_at":"2026-08-10T20:00:39.530221Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.10474","last_updated":"2025-01-16T12:01:31Z","snapshot_observed_at":"2026-08-10T19:55:48.445889Z","submitted_at":"2025-01-16T12:01:31Z","title":"Poxel: Voxel Reconstruction for 3D Printing","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-10T20:00:39.530221Z"},"links":{"cited_paper":"/paper/2112.05131","citing_paper":"/paper/2501.10474"},"observation_digest":"sha256:b3f59d3c87298ac820c0b01c9687803da474154963c2960c4b83e23d9eeb76ee","observation_id":"e1f03fbc-de69-4c51-85bd-365a4f75258a","resolution":{"observed_at":"2026-08-10T20:00:39.530221Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.05131","last_updated":"2021-12-09T18:59:12Z","snapshot_observed_at":"2026-08-10T07:56:40.570069Z","submitted_at":"2021-12-09T18:59:12Z","title":"Plenoxels: Radiance Fields without Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.05131","snapshot_observed_at":"2026-08-09T04:27:26.702446Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.05222","last_updated":"2025-02-05T20:45:00Z","snapshot_observed_at":"2026-08-10T15:32:01.224225Z","submitted_at":"2025-02-05T20:45:00Z","title":"VistaFlow: Photorealistic Volumetric Reconstruction with Dynamic Resolution Management via Q-Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-09T04:27:26.702446Z"},"links":{"cited_paper":"/paper/2112.05131","citing_paper":"/paper/2502.05222"},"observation_digest":"sha256:7df613a5ee55d88826847a13e345fadbaae745318c79633c6e293bce07eb7cb4","observation_id":"96cba296-492e-44a6-a1eb-81c76865950d","resolution":{"observed_at":"2026-08-09T04:27:26.702446Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.05131","last_updated":"2021-12-09T18:59:12Z","snapshot_observed_at":"2026-08-10T07:56:40.570069Z","submitted_at":"2021-12-09T18:59:12Z","title":"Plenoxels: Radiance Fields without Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.05131","snapshot_observed_at":"2026-08-03T19:42:55.448285Z","title":"Available: https://arxiv.org/abs/2112.05131","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2511.23030","last_updated":"2026-06-10T19:09:48Z","snapshot_observed_at":"2026-08-07T21:12:42.698940Z","submitted_at":"2025-11-28T09:52:49Z","title":"DiskChunGS: Large-Scale 3D Gaussian SLAM Through Chunk-Based Memory Management","version":2},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-03T19:42:55.448285Z"},"links":{"cited_paper":"/paper/2112.05131","citing_paper":"/paper/2511.23030"},"observation_digest":"sha256:a851e69efed29d905a972f2a4d8fb629c6b71d4521de61b13fd0c1428b8fe5e1","observation_id":"048e3550-9dcd-4d7d-98f6-a350c5dcb437","resolution":{"observed_at":"2026-08-03T19:42:55.448285Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.05131","last_updated":"2021-12-09T18:59:12Z","snapshot_observed_at":"2026-08-10T07:56:40.570069Z","submitted_at":"2021-12-09T18:59:12Z","title":"Plenoxels: Radiance Fields without Neural Networks","version":1},"cited_work":{"arxiv_id":"2112.05131","doi":"10.48550/arxiv.2112.05131","metadata_source":"arxiv_reference","pith_arxiv_id":"2112.05131","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Plenoxels: Radiance ﬁelds without neural networks","venue":"arXiv (Cornell University)","work_id":"cf2c8bd7-76d9-4bdb-9204-699ba4d68fe0","year":2021},"citing_paper":{"arxiv_id":"2604.06358","last_updated":"2026-04-07T18:37:15Z","snapshot_observed_at":"2026-07-06T22:54:53.308309Z","submitted_at":"2026-04-07T18:37:15Z","title":"GS-Surrogate: Deformable Gaussian Splatting for Parameter Space Exploration of Ensemble Simulations","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-10T17:55:21.714088Z"},"links":{"cited_paper":"/paper/2112.05131","citing_paper":"/paper/2604.06358"},"observation_digest":"sha256:309f929e6cd972e756cb49a9ac1f75ddd2c05197154a6a20860f5db3f66716d6","observation_id":"64a87129-9e7b-43ba-81a5-364b39e017c5","resolution":{"observed_at":"2026-05-10T17:55:40.605327Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.05131","last_updated":"2021-12-09T18:59:12Z","snapshot_observed_at":"2026-08-10T07:56:40.570069Z","submitted_at":"2021-12-09T18:59:12Z","title":"Plenoxels: Radiance Fields without Neural Networks","version":1},"cited_work":{"arxiv_id":"2112.05131","doi":"10.48550/arxiv.2112.05131","metadata_source":"arxiv_reference","pith_arxiv_id":"2112.05131","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Plenoxels: Radiance ﬁelds without neural networks","venue":"arXiv (Cornell University)","work_id":"cf2c8bd7-76d9-4bdb-9204-699ba4d68fe0","year":2021},"citing_paper":{"arxiv_id":"2605.29136","last_updated":"2026-05-27T22:01:01Z","snapshot_observed_at":"2026-08-08T06:01:55.491824Z","submitted_at":"2026-05-27T22:01:01Z","title":"Eulerian Gaussian Splatting using Hashed Probability Pyramids","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-29T12:39:49.452109Z"},"links":{"cited_paper":"/paper/2112.05131","citing_paper":"/paper/2605.29136"},"observation_digest":"sha256:19bd6242bf003d27ee588145cd428d221158dabaafe26be365b1f492c14ce23f","observation_id":"6eeb8e81-1ac7-4f84-b0f9-930cebb1c07d","resolution":{"observed_at":"2026-06-29T12:43:25.566289Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.05131","last_updated":"2021-12-09T18:59:12Z","snapshot_observed_at":"2026-08-10T07:56:40.570069Z","submitted_at":"2021-12-09T18:59:12Z","title":"Plenoxels: Radiance Fields without Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.05131","snapshot_observed_at":"2026-08-07T00:14:15.789160Z","title":"Plenoxels: Radiancefieldswithoutneuralnetworks","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.02713","last_updated":"2026-08-03T17:59:58Z","snapshot_observed_at":"2026-08-07T23:09:56.055766Z","submitted_at":"2026-08-03T17:59:58Z","title":"Quo Vadis, World Modeling?","version":1},"reference_index":203,"source":"pdf_text","source_observed_at":"2026-08-07T00:14:15.789160Z"},"links":{"cited_paper":"/paper/2112.05131","citing_paper":"/paper/2608.02713"},"observation_digest":"sha256:a014d20d4c6f45fa0bcc6638ef95d0efc4fd82cdd2552d80e12a593fdc036b22","observation_id":"2fef5bf6-70a8-40f2-8626-52f9b5c459de","resolution":{"observed_at":"2026-08-07T00:14:15.789160Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2112.05131/citation-record","integrity":"/paper/2112.05131/integrity","json":"/paper/2112.05131/citation-record.json","paper":"/paper/2112.05131"},"outbound":[],"paper":{"arxiv_id":"2112.05131","last_updated":"2021-12-09T18:59:12Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T07:56:40.570069Z","submitted_at":"2021-12-09T18:59:12Z","title":"Plenoxels: Radiance Fields without Neural Networks"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2112.05131."}