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Paper Citation Record · LEDGER

CompletionFormer: Depth Completion with Convolutions and Vision Transformers

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.13030.

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

pith.paper-citation-record.v1
2304.13030 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 2026-08-05T23:06:34.644837Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T23:06:34.900650Z

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 36ba4428-3e6c-4bd6-87b9-c30a898013e7 · inbound

Learning by Teaching: Engaging Students as Instructors of Large Language Models in Computer Science Education cites this paper.

Learning by Teaching: Engaging Students as Instructors of Large Language Models in Computer Science Education CompletionFormer: Depth Completion with Convolutions and Vision Transformers

Reference 99

Resolution
verified exact
local_arxiv, observed 2026-08-05T23:06:34.904384Z

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=2026-08-05T23:06:34.644837Z digest=sha256:d3ef1eb3f2f2c4db723a16a66690b836a24bb2a828a93d27ce2092326d251d26

Observation 9c8581b9-fa32-4d13-aabe-3536304252b9 · inbound

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations cites this paper.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations CompletionFormer: Depth Completion with Convolutions and Vision Transformers

Reference 33

Resolution
unresolved
no resolver link, observed 2026-07-11T21:42:00.898441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T21:42:00.898441Z digest=sha256:90a97a627078597f3fb38f652e13f03f3bfe7aea166ba35786c70e6b8fd67ce4