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Paper Citation Record · LEDGER

LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.01295.

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

pith.paper-citation-record.v1
2410.01295 v1

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:54:46.793669Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:19:56.370621Z

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 9a71fe81-8372-4608-ab81-be14962b0d30 · inbound

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion cites this paper.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-06T19:54:46.793669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.793669Z digest=sha256:3c143d090a430bd5cc33dd76f3312bca2134fcdf9bebe4d0986460086b7924c4

Observation c7adc6cd-a540-43cd-8b88-01f836db7f29 · inbound

Sat2City v2: Native 3D City Asset Generation from a Single Satellite Image cites this paper.

Sat2City v2: Native 3D City Asset Generation from a Single Satellite Image LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-07-04T15:19:56.372152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T01:44:30.505560Z digest=sha256:00fa17429dcea0cecb42b668fc7299f44fe05ac63b2236e9eec741a6bec6a45a