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Paper Citation Record · LEDGER

Event-based Monocular Dense Depth Estimation with Recurrent Transformers

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2212.02791.

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

pith.paper-citation-record.v1
2212.02791 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 2026-08-01T22:31:41.991374Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:39:48.875222Z

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 cc5f63a9-1015-4533-b144-bfeb10fcfe75 · inbound

A Systematic Survey on Event Camera Representation Learning cites this paper.

A Systematic Survey on Event Camera Representation Learning Event-based Monocular Dense Depth Estimation with Recurrent Transformers

Reference 167

Resolution
verified exact
arxiv_id, observed 2026-07-04T12:39:48.876742Z

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=2026-06-26T06:33:12.448178Z digest=sha256:047b9960af1dd3a03c22cacaccb67b9f24c43cee457732ed1c015891f25e8219

Observation 08a4700b-4449-47fd-93c4-fa4e7c149c1e · inbound

Event3R: Asynchronous-to-Global 3D Reconstruction from Event Camera via Spatial-Temporal Feature Aggregation cites this paper.

Event3R: Asynchronous-to-Global 3D Reconstruction from Event Camera via Spatial-Temporal Feature Aggregation Event-based Monocular Dense Depth Estimation with Recurrent Transformers

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-01T22:31:41.991374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:31:41.991374Z digest=sha256:70e224f9bee9de3e3168ee215cd06dd62cb2027abaf580e9b35d6e21d2d50082