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Paper Citation Record · LEDGER

Is the deconvolution layer the same as a convolutional layer?

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1609.07009.

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

pith.paper-citation-record.v1
1609.07009 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 2026-08-16T12:03:25.981802Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T01:07:19.182035Z

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 4b2eb3bf-ded7-4ce3-b308-8b776fcdd063 · inbound

LoftUp: Learning a Coordinate-Based Feature Upsampler for Vision Foundation Models cites this paper.

LoftUp: Learning a Coordinate-Based Feature Upsampler for Vision Foundation Models Is the deconvolution layer the same as a convolutional layer?

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-16T12:03:25.981802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:03:25.981802Z digest=sha256:c7727b719fecb20f95669780b342d37d35321f2b051c3abebb12d300ff1dbf1a

Observation ab82b50a-88b8-431e-9d70-f125c50cf7aa · inbound

Benchmarking Feature Upsampling Methods for Vision Foundation Models using Interactive Segmentation cites this paper.

Benchmarking Feature Upsampling Methods for Vision Foundation Models using Interactive Segmentation Is the deconvolution layer the same as a convolutional layer?

Reference 55

Resolution
metadata mismatch
local_arxiv, observed 2026-08-16T01:07:19.187810Z

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=2026-08-16T01:07:19.079573Z digest=sha256:6f45a845aee3c7b97be80dfb41b2bbf72baef35cbe8ed8bc4f3f2ae3f613065d