Paper Citation Record · LEDGER

LangOcc: Self-Supervised Open Vocabulary Occupancy Estimation via Volume Rendering

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2407.17310.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2407.17310 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:40:32.904066Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T14:08:22.627588Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8c207a73-f56c-4504-a749-95e1cb711665 · inbound

Language Driven Occupancy Prediction cites this paper.

Language Driven Occupancy Prediction LangOcc: Self-Supervised Open Vocabulary Occupancy Estimation via Volume Rendering

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T13:40:32.904066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d2163f5-e3fa-4a17-9eb1-c1ebcd564282 · inbound

GaussTR: Foundation Model-Aligned Gaussian Transformer for Self-Supervised 3D Spatial Understanding cites this paper.

GaussTR: Foundation Model-Aligned Gaussian Transformer for Self-Supervised 3D Spatial Understanding LangOcc: Self-Supervised Open Vocabulary Occupancy Estimation via Volume Rendering

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T13:26:11.277539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efa2c7d9-e2f8-4109-813f-4b3735ed7c8e · inbound

AutoOcc: Automatic Open-Ended Semantic Occupancy Annotation via Vision-Language Guided Gaussian Splatting cites this paper.

AutoOcc: Automatic Open-Ended Semantic Occupancy Annotation via Vision-Language Guided Gaussian Splatting LangOcc: Self-Supervised Open Vocabulary Occupancy Estimation via Volume Rendering

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T20:48:50.732356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ac381a2-7a67-4441-b1a1-e7c66b4d829c · inbound

SAM4D: Segment Anything in Camera and LiDAR Streams cites this paper.

SAM4D: Segment Anything in Camera and LiDAR Streams LangOcc: Self-Supervised Open Vocabulary Occupancy Estimation via Volume Rendering

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T22:28:10.803060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a5c9e3a-bc95-4143-8494-05b3a636e39e · inbound

GS-Occ3D: Scaling Vision-only Occupancy Reconstruction with Gaussian Splatting cites this paper.

GS-Occ3D: Scaling Vision-only Occupancy Reconstruction with Gaussian Splatting LangOcc: Self-Supervised Open Vocabulary Occupancy Estimation via Volume Rendering

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T14:22:13.225507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a44f044-5c4f-4736-9862-cc643b104772 · inbound

Semantic Causality-Aware Vision-Based 3D Occupancy Prediction cites this paper.

Semantic Causality-Aware Vision-Based 3D Occupancy Prediction LangOcc: Self-Supervised Open Vocabulary Occupancy Estimation via Volume Rendering

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T20:48:54.584442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 930ca547-b817-40e8-bf80-8d6f7f42c0fc · inbound

Monocular Open Vocabulary Occupancy Prediction for Indoor Scenes cites this paper.

Monocular Open Vocabulary Occupancy Prediction for Indoor Scenes LangOcc: Self-Supervised Open Vocabulary Occupancy Estimation via Volume Rendering

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-21T11:54:09.197065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0130ad38-fd4f-4c3b-b48d-930e4adbc1b7 · inbound

Deformable Gaussian Occupancy: Decoupling Rigid and Nonrigid Motion with Factorized Distillation cites this paper.

Deformable Gaussian Occupancy: Decoupling Rigid and Nonrigid Motion with Factorized Distillation LangOcc: Self-Supervised Open Vocabulary Occupancy Estimation via Volume Rendering

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:33:27.963463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bfbfa282-9dba-4de6-8190-d288580c959c · inbound

VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models cites this paper.

VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models LangOcc: Self-Supervised Open Vocabulary Occupancy Estimation via Volume Rendering

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:08:22.629086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a8c58378-5f0f-4241-9c94-2381e3d2e7e6 · inbound

VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models cites this paper.

VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models LangOcc: Self-Supervised Open Vocabulary Occupancy Estimation via Volume Rendering

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-15T10:49:28.959330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.