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Paper Citation Record · LEDGER

LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.10555.

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

pith.paper-citation-record.v1
2206.10555 v2

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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:40:26.051672Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T05:26:24.067214Z

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 3db4ae0e-19e5-49fd-9cdd-a7f48b5d564e · inbound

3D Multi-Object Tracking with Semi-Supervised GRU-Kalman Filter cites this paper.

3D Multi-Object Tracking with Semi-Supervised GRU-Kalman Filter LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-12T21:40:26.051672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:40:26.051672Z digest=sha256:0c09d311c573933c89d017abe89f59d5f5052a43caec72a1cf28baf704930ef5

Observation 4129399c-55e2-44f7-9d97-63d529a055f9 · inbound

RelFlexformer: Efficient Attention 3D-Transformers for Integrable Relative Positional Encodings cites this paper.

RelFlexformer: Efficient Attention 3D-Transformers for Integrable Relative Positional Encodings LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:26:24.072977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-12T05:25:19.181337Z digest=sha256:26bc0eabb09d0a8558360eeaff73eb67049ef71a21754ca94eb8aef0b27c3738