{"as_of":"2026-08-09T04:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5a22cd8858e1aa4f60e919d430fe63005257f8e87cbafb0b48de4491f9bc4413","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T14:30:57.987125Z","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":"2026-06-30T07:14:21.340168Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.18052","last_updated":"2025-06-03T16:42:52Z","snapshot_observed_at":"2026-08-07T16:43:20.609154Z","submitted_at":"2025-03-23T12:50:25Z","title":"SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.18052","snapshot_observed_at":"2026-08-07T14:30:57.987125Z","title":"Scenesplat: Gaussian splatting-based scene understanding with vision-language pretraining","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.18819","last_updated":"2025-05-24T18:26:30Z","snapshot_observed_at":"2026-08-09T01:59:38.626593Z","submitted_at":"2025-05-24T18:26:30Z","title":"Self-Supervised and Generalizable Tokenization for CLIP-Based 3D Understanding","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T14:30:57.987125Z"},"links":{"cited_paper":"/paper/2503.18052","citing_paper":"/paper/2505.18819"},"observation_digest":"sha256:296ed9bf694cc09a122bb2cfee0022fb04d9726a3df8a3777d2a7fd01b2e3101","observation_id":"f79611db-3256-4c8e-b75d-bf0bdc7c4aba","resolution":{"observed_at":"2026-08-07T14:30:57.987125Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18052","last_updated":"2025-06-03T16:42:52Z","snapshot_observed_at":"2026-08-07T16:43:20.609154Z","submitted_at":"2025-03-23T12:50:25Z","title":"SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.18052","snapshot_observed_at":"2026-08-06T21:11:41.372451Z","title":"Scenesplat: Gaussian splatting-based scene understanding with vision- language pretraining.arXiv:2503.18052, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.00886","last_updated":"2025-07-01T15:52:59Z","snapshot_observed_at":"2026-08-08T11:31:10.308352Z","submitted_at":"2025-07-01T15:52:59Z","title":"GaussianVLM: Scene-centric 3D Vision-Language Models using Language-aligned Gaussian Splats for Embodied Reasoning and Beyond","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T21:11:41.372451Z"},"links":{"cited_paper":"/paper/2503.18052","citing_paper":"/paper/2507.00886"},"observation_digest":"sha256:2f195d1858ad54864d19ed4a2ef7067a1fdf1639e4abcfe99f61a8aefa4ad08b","observation_id":"cab475ff-1491-4357-bb41-e7d10d80fc1a","resolution":{"observed_at":"2026-08-06T21:11:41.372451Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18052","last_updated":"2025-06-03T16:42:52Z","snapshot_observed_at":"2026-08-07T16:43:20.609154Z","submitted_at":"2025-03-23T12:50:25Z","title":"SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining","version":2},"cited_work":{"arxiv_id":"2503.18052","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.18052","snapshot_observed_at":"2026-06-30T07:14:21.340168Z","title":"Scenesplat: Gaussian splatting-based scene un- derstanding with vision-language pretraining","venue":null,"work_id":"a1a529ef-0d88-4cd6-8082-7f758f07d865","year":2025},"citing_paper":{"arxiv_id":"2511.16567","last_updated":"2026-05-06T15:47:48Z","snapshot_observed_at":"2026-07-06T22:36:30.947164Z","submitted_at":"2025-11-20T17:22:51Z","title":"POMA-3D: The Point Map Way to 3D Scene Understanding","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-17T20:27:27.347592Z"},"links":{"cited_paper":"/paper/2503.18052","citing_paper":"/paper/2511.16567"},"observation_digest":"sha256:487071981ea51096a49db57b295da0357425333a0b947ae7413d0aeb0ff5647e","observation_id":"d0275f29-6cb9-44af-b3cf-64e6930efd80","resolution":{"observed_at":"2026-05-17T20:30:11.616931Z","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":"2503.18052","last_updated":"2025-06-03T16:42:52Z","snapshot_observed_at":"2026-08-07T16:43:20.609154Z","submitted_at":"2025-03-23T12:50:25Z","title":"SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining","version":2},"cited_work":{"arxiv_id":"2503.18052","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.18052","snapshot_observed_at":"2026-06-30T07:14:21.340168Z","title":"Scenesplat: Gaussian splatting-based scene un- derstanding with vision-language pretraining","venue":null,"work_id":"a1a529ef-0d88-4cd6-8082-7f758f07d865","year":2025},"citing_paper":{"arxiv_id":"2512.17817","last_updated":"2026-05-04T21:21:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-19T17:22:35Z","title":"Chorus: Multi-Teacher Pretraining for Holistic 3D Gaussian Scene Encoding","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-16T20:34:16.666956Z"},"links":{"cited_paper":"/paper/2503.18052","citing_paper":"/paper/2512.17817"},"observation_digest":"sha256:2992e06e25d2bb4afcbfbe4bda1950cf09e013d0367ff132efdccc2e62daffda","observation_id":"0ef09104-6d1c-4f86-8942-fa03950d7b82","resolution":{"observed_at":"2026-05-16T20:38:24.844419Z","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":"2503.18052","last_updated":"2025-06-03T16:42:52Z","snapshot_observed_at":"2026-08-07T16:43:20.609154Z","submitted_at":"2025-03-23T12:50:25Z","title":"SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining","version":2},"cited_work":{"arxiv_id":"2503.18052","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.18052","snapshot_observed_at":"2026-06-30T07:14:21.340168Z","title":"Scenesplat: Gaussian splatting-based scene un- derstanding with vision-language pretraining","venue":null,"work_id":"a1a529ef-0d88-4cd6-8082-7f758f07d865","year":2025},"citing_paper":{"arxiv_id":"2604.02546","last_updated":"2026-07-02T01:57:06Z","snapshot_observed_at":"2026-08-02T20:00:32.514238Z","submitted_at":"2026-04-02T21:54:43Z","title":"RGB-Pointmap Pretraining for Unified 3D Scene Understanding","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-13T21:19:49.421653Z"},"links":{"cited_paper":"/paper/2503.18052","citing_paper":"/paper/2604.02546"},"observation_digest":"sha256:ccd51593c3cc4540549437efe2faae79edf7372099b65df2e899867e24084bf2","observation_id":"9157c4d3-f29b-4f28-bce6-09c75c3fc405","resolution":{"observed_at":"2026-05-13T21:23:17.927479Z","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":"2503.18052","last_updated":"2025-06-03T16:42:52Z","snapshot_observed_at":"2026-08-07T16:43:20.609154Z","submitted_at":"2025-03-23T12:50:25Z","title":"SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining","version":2},"cited_work":{"arxiv_id":"2503.18052","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.18052","snapshot_observed_at":"2026-06-30T07:14:21.340168Z","title":"Scenesplat: Gaussian splatting-based scene un- derstanding with vision-language pretraining","venue":null,"work_id":"a1a529ef-0d88-4cd6-8082-7f758f07d865","year":2025},"citing_paper":{"arxiv_id":"2606.29496","last_updated":"2026-07-03T02:08:02Z","snapshot_observed_at":"2026-08-01T14:51:29.219927Z","submitted_at":"2026-06-28T16:51:10Z","title":"Rectifying Mask via Entropy for Distractor-Free 3DGS in Ambiguous Scenarios","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-30T07:09:35.737133Z"},"links":{"cited_paper":"/paper/2503.18052","citing_paper":"/paper/2606.29496"},"observation_digest":"sha256:759a82c195d92ee24076cda440b0d5fea3920a05833dad4c221805b7f70a87d0","observation_id":"1f6b9ad0-7cc3-47ba-af34-0320ab58d6e1","resolution":{"observed_at":"2026-06-30T07:14:21.341889Z","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":"2503.18052","last_updated":"2025-06-03T16:42:52Z","snapshot_observed_at":"2026-08-07T16:43:20.609154Z","submitted_at":"2025-03-23T12:50:25Z","title":"SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.18052","snapshot_observed_at":"2026-07-12T10:57:04.856666Z","title":"Scenesplat: Gaussian splatting-based scene un- derstanding with vision-language pretraining.arXiv preprint arXiv:2503.18052, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.29496","last_updated":"2026-07-03T02:08:02Z","snapshot_observed_at":"2026-08-01T14:51:29.219927Z","submitted_at":"2026-06-28T16:51:10Z","title":"Rectifying Mask via Entropy for Distractor-Free 3DGS in Ambiguous Scenarios","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-12T10:57:04.856666Z"},"links":{"cited_paper":"/paper/2503.18052","citing_paper":"/paper/2606.29496"},"observation_digest":"sha256:6e27e85ee13355c078f8fefbae7a851bb506600db86926ab85d1c3b1cb00ac18","observation_id":"cca3b6cb-6f59-4368-896d-e1925a57ecc4","resolution":{"observed_at":"2026-07-12T10:57:04.856666Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18052","last_updated":"2025-06-03T16:42:52Z","snapshot_observed_at":"2026-08-07T16:43:20.609154Z","submitted_at":"2025-03-23T12:50:25Z","title":"SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.18052","snapshot_observed_at":"2026-07-14T09:13:52.374749Z","title":"arXiv preprint arXiv:2503.18052 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10792","last_updated":"2026-07-12T14:50:08Z","snapshot_observed_at":"2026-07-16T23:19:01.025282Z","submitted_at":"2026-07-12T14:50:08Z","title":"MAC-Splat: Multi-Attribute Consistency for High-Fidelity Sparse-View Reconstruction","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-14T09:13:52.374749Z"},"links":{"cited_paper":"/paper/2503.18052","citing_paper":"/paper/2607.10792"},"observation_digest":"sha256:2035db5097865ffa69672ff78c1e4323743c12991ac31f389d9ea79d52b6154e","observation_id":"da47c71a-6491-439c-9e62-ad817381009d","resolution":{"observed_at":"2026-07-14T09:13:52.374749Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18052","last_updated":"2025-06-03T16:42:52Z","snapshot_observed_at":"2026-08-07T16:43:20.609154Z","submitted_at":"2025-03-23T12:50:25Z","title":"SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.18052","snapshot_observed_at":"2026-08-01T23:11:20.459563Z","title":"arXiv preprint arXiv:2503.18052 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.15536","last_updated":"2026-07-17T01:12:26Z","snapshot_observed_at":"2026-08-08T01:12:13.969621Z","submitted_at":"2026-07-17T01:12:26Z","title":"E3DGS: Unified Geometric-Photometric Equivariance for 3D Gaussian Splatting via Color-as-Geometry Embedding","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T23:11:20.459563Z"},"links":{"cited_paper":"/paper/2503.18052","citing_paper":"/paper/2607.15536"},"observation_digest":"sha256:a80b9a4dcf4bdf24138c4cad7ad3d1b81f4f9675a350eb05c9d8c8cda77eb141","observation_id":"478ed948-5038-4944-8eca-769b3cd46993","resolution":{"observed_at":"2026-08-01T23:11:20.459563Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2503.18052/citation-record","integrity":"/paper/2503.18052/integrity","json":"/paper/2503.18052/citation-record.json","paper":"/paper/2503.18052"},"outbound":[],"paper":{"arxiv_id":"2503.18052","last_updated":"2025-06-03T16:42:52Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T16:43:20.609154Z","submitted_at":"2025-03-23T12:50:25Z","title":"SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining"},"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 9 inbound Pith citation observations for arXiv:2503.18052."}