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Paper Citation Record · LEDGER

FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.03420.

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

pith.paper-citation-record.v1
2310.03420 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:16:31.074536Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T11:20:07.256488Z

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 b45c5887-0316-42b3-bf78-748cf4bd80a0 · inbound

Self-Supervised Spatial Correspondence Across Modalities cites this paper.

Self-Supervised Spatial Correspondence Across Modalities FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:31.074536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:31.074536Z digest=sha256:95034ddfba6c9c084755eed3a64148f0b52f7b451a76b279c5b6af24a100fde1

Observation 52e08be2-cb99-4c40-9ba9-086687b014c1 · inbound

CA-I2P: Channel-Adaptive Registration Network with Global Optimal Selection cites this paper.

CA-I2P: Channel-Adaptive Registration Network with Global Optimal Selection FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T22:33:59.238080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:33:59.238080Z digest=sha256:b5678f04f3dec5913c431c7957f13a85de383a2cf8a42b186251cd3bd47a002c

Observation 28916a5c-5473-4644-8c18-a8a18cf9221e · inbound

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior cites this paper.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T19:05:00.679448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:05:00.679448Z digest=sha256:51bbdf22cc044c83db41af32d8d226c12d164dc180612e7082775653ffc4863e

Observation 73b84cbd-bb41-43d9-a23d-065722ce0541 · inbound

Modality-Aware Feature Matching in Visual and Vision-Language Applications: A Comprehensive Survey cites this paper.

Modality-Aware Feature Matching in Visual and Vision-Language Applications: A Comprehensive Survey FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators

Reference 212

Resolution
verified exact
local_arxiv, observed 2026-08-06T11:20:07.260244Z

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=2026-08-06T11:20:06.988445Z digest=sha256:dcc2812502741635a416e52c5a0a6322fbc4f0b4f2945c654d9cbbeae0461baf

Observation f13e4363-2394-4b47-b99f-becd33a7ae02 · inbound

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling cites this paper.

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T01:36:08.447398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:36:08.447398Z digest=sha256:a234335ef4fd0efc3b25280f29e4df2364f1ccae830cae69e8f5c371b754db96