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Paper Citation Record · LEDGER

Multi-view 3D Reconstruction with Transformer

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2103.12957.

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

pith.paper-citation-record.v1
2103.12957 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 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:01:14.088626Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T05:06:58.447731Z

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 9a47890e-a16c-4df4-9323-c5f9812406ed · inbound

Refine3DNet: Scaling Precision in 3D Object Reconstruction from Multi-View RGB Images using Attention cites this paper.

Refine3DNet: Scaling Precision in 3D Object Reconstruction from Multi-View RGB Images using Attention Multi-view 3D Reconstruction with Transformer

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-12T05:06:58.452990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T05:06:58.301033Z digest=sha256:107ba426d34b3b37682fb50aa75d07ff745b65c4f6409188f709d040b7874711

Observation 99e03315-ec34-49b6-a511-3dfe524185b0 · inbound

Multistream Network for LiDAR and Camera-based 3D Object Detection in Outdoor Scenes cites this paper.

Multistream Network for LiDAR and Camera-based 3D Object Detection in Outdoor Scenes Multi-view 3D Reconstruction with Transformer

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T18:01:14.088626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:01:14.088626Z digest=sha256:51ce12ff616e0fceb6c743d9dadb0e8824cdd73f2e320a19f7f170142c0482c0