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Paper Citation Record · LEDGER

SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.09340.

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

pith.paper-citation-record.v1
2401.09340 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:54:24.561645Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:53:04.396674Z

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 5139916e-add7-4b2e-9f91-d799280d6dd8 · inbound

Foundational Models for 3D Point Clouds: A Survey and Outlook cites this paper.

Foundational Models for 3D Point Clouds: A Survey and Outlook SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-09T22:54:24.561645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:54:24.561645Z digest=sha256:c319d0671b1b92dd848cbfa7f5ec09e58f8787bcaff6e05fb20634ab3ce0bcd3

Observation 62e5aba4-dde3-4665-b802-8ea3177c3189 · inbound

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation cites this paper.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:53:04.545494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:52:59.994335Z digest=sha256:2517e05066829378be3d8c3ba20f236548cad0e64f80b4fbf17838f1e35f9084