{"as_of":"2026-08-10T02:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3b1e4d24ba6fdf41e19de58789153bfdb3e3dd1f965c7b5d2d6da0fde14b6f62","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:27:09.747320Z","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":"2026-05-17T03:28:58.147536Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.12452","last_updated":"2024-11-19T12:19:45Z","snapshot_observed_at":"2026-08-04T14:11:04.295401Z","submitted_at":"2024-11-19T12:19:45Z","title":"GaussianPretrain: A Simple Unified 3D Gaussian Representation for Visual Pre-training in Autonomous Driving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.12452","snapshot_observed_at":"2026-08-07T10:27:09.747320Z","title":"Gaussianpretrain: A simple uni- fied 3d gaussian representation for visual pre-training in au- tonomous driving.arXiv preprint arXiv:2411.12452, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05473","last_updated":"2025-06-05T18:00:11Z","snapshot_observed_at":"2026-08-09T18:38:10.742098Z","submitted_at":"2025-06-05T18:00:11Z","title":"S2GO: Streaming Sparse Gaussian Occupancy Prediction","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T10:27:09.747320Z"},"links":{"cited_paper":"/paper/2411.12452","citing_paper":"/paper/2506.05473"},"observation_digest":"sha256:d970fb9fb3d6d8cec32632fe8e0f78b8d22d390e8dab920df2ab7b391246d453","observation_id":"08b62c34-1da2-40aa-a769-5ff31de27d9b","resolution":{"observed_at":"2026-08-07T10:27:09.747320Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.12452","last_updated":"2024-11-19T12:19:45Z","snapshot_observed_at":"2026-08-04T14:11:04.295401Z","submitted_at":"2024-11-19T12:19:45Z","title":"GaussianPretrain: A Simple Unified 3D Gaussian Representation for Visual Pre-training in Autonomous Driving","version":1},"cited_work":{"arxiv_id":"2411.12452","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.12452","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Gaussianpretrain: A simple uni- fied 3d gaussian representation for visual pre-training in au- tonomous driving","venue":null,"work_id":"d30a96bf-fd40-4cc9-88da-6bdb0855a782","year":2024},"citing_paper":{"arxiv_id":"2512.03370","last_updated":"2026-04-10T02:11:22Z","snapshot_observed_at":"2026-07-31T22:38:28.096192Z","submitted_at":"2025-12-03T02:06:09Z","title":"ShelfGaussian: Shelf-Supervised Open-Vocabulary Gaussian-based 3D Scene Understanding","version":3},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-05-17T03:24:32.577420Z"},"links":{"cited_paper":"/paper/2411.12452","citing_paper":"/paper/2512.03370"},"observation_digest":"sha256:73982b6aedf711f23eb339fa4780ad531ca1f032336d5ed7ce0c6a763cae1558","observation_id":"34ed5ccf-e1cd-4ca3-8b60-c7be2e3d26e1","resolution":{"observed_at":"2026-05-17T03:28:58.152457Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.12452","last_updated":"2024-11-19T12:19:45Z","snapshot_observed_at":"2026-08-04T14:11:04.295401Z","submitted_at":"2024-11-19T12:19:45Z","title":"GaussianPretrain: A Simple Unified 3D Gaussian Representation for Visual Pre-training in Autonomous Driving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.12452","snapshot_observed_at":"2026-08-03T15:27:19.772033Z","title":"Gaussianpretrain: A simple uni- fied 3d gaussian representation for visual pre-training in au- tonomous driving.arXiv preprint arXiv:2411.12452, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.16919","last_updated":"2026-06-03T07:14:50Z","snapshot_observed_at":"2026-08-04T02:28:30.870384Z","submitted_at":"2025-12-18T18:59:57Z","title":"DVGT: Driving Visual Geometry Transformer","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-03T15:27:19.772033Z"},"links":{"cited_paper":"/paper/2411.12452","citing_paper":"/paper/2512.16919"},"observation_digest":"sha256:09d0ecf9093cecda27e05d42e88a1adda2cf2d964752c46d04b676bb658752e3","observation_id":"e4aea48e-08b4-481c-a531-4f50d363486e","resolution":{"observed_at":"2026-08-03T15:27:19.772033Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.12452","last_updated":"2024-11-19T12:19:45Z","snapshot_observed_at":"2026-08-04T14:11:04.295401Z","submitted_at":"2024-11-19T12:19:45Z","title":"GaussianPretrain: A Simple Unified 3D Gaussian Representation for Visual Pre-training in Autonomous Driving","version":1},"cited_work":{"arxiv_id":"2411.12452","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.12452","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Gaussianpretrain: A simple uni- fied 3d gaussian representation for visual pre-training in au- tonomous driving","venue":null,"work_id":"d30a96bf-fd40-4cc9-88da-6bdb0855a782","year":2024},"citing_paper":{"arxiv_id":"2604.18486","last_updated":"2026-05-08T18:23:17Z","snapshot_observed_at":"2026-08-03T04:20:45.612992Z","submitted_at":"2026-04-20T16:37:22Z","title":"Xiaomi OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation","version":2},"reference_index":109,"source":"pdf_text","source_observed_at":"2026-05-10T05:42:41.112158Z"},"links":{"cited_paper":"/paper/2411.12452","citing_paper":"/paper/2604.18486"},"observation_digest":"sha256:2b12a9095616bfadea030a0b871ef039a19c5137a1480a53f856a53f91c9ec32","observation_id":"922f8a20-7d29-40c9-a31b-b340fae9a9a4","resolution":{"observed_at":"2026-05-10T06:11:20.707219Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.12452","last_updated":"2024-11-19T12:19:45Z","snapshot_observed_at":"2026-08-04T14:11:04.295401Z","submitted_at":"2024-11-19T12:19:45Z","title":"GaussianPretrain: A Simple Unified 3D Gaussian Representation for Visual Pre-training in Autonomous Driving","version":1},"cited_work":{"arxiv_id":"2411.12452","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.12452","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Gaussianpretrain: A simple uni- fied 3d gaussian representation for visual pre-training in au- tonomous driving","venue":null,"work_id":"d30a96bf-fd40-4cc9-88da-6bdb0855a782","year":2024},"citing_paper":{"arxiv_id":"2604.18486","last_updated":"2026-05-08T18:23:17Z","snapshot_observed_at":"2026-08-03T04:20:45.612992Z","submitted_at":"2026-04-20T16:37:22Z","title":"Xiaomi OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation","version":3},"reference_index":109,"source":"pdf_text","source_observed_at":"2026-05-12T00:54:23.508845Z"},"links":{"cited_paper":"/paper/2411.12452","citing_paper":"/paper/2604.18486"},"observation_digest":"sha256:05c2691f2ba69c2dc55ef29648fc5de8c720d091d7e3b10c5042e108a3aa50e4","observation_id":"323e2ef6-1925-448f-a2b3-ec05d82394aa","resolution":{"observed_at":"2026-05-12T08:36:26.077712Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.12452/citation-record","integrity":"/paper/2411.12452/integrity","json":"/paper/2411.12452/citation-record.json","paper":"/paper/2411.12452"},"outbound":[],"paper":{"arxiv_id":"2411.12452","last_updated":"2024-11-19T12:19:45Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-04T14:11:04.295401Z","submitted_at":"2024-11-19T12:19:45Z","title":"GaussianPretrain: A Simple Unified 3D Gaussian Representation for Visual Pre-training in Autonomous Driving"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.12452."}