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Paper Citation Record · LEDGER

Emulating Self-attention with Convolution for Efficient Image Super-Resolution

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.06671.

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

pith.paper-citation-record.v1
2503.06671 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T23:41:53.514594Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T12:30:35.242791Z

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 2aa78254-b0fa-4847-8a71-69c056d1a54f · inbound

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment cites this paper.

Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment Emulating Self-attention with Convolution for Efficient Image Super-Resolution

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-04T23:41:53.514594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:41:53.514594Z digest=sha256:00653bf13dff06537ba7a3fc7c3bad47239583dabb0db6f5162f183c1e41bec4

Observation 8888b47c-dabf-44e0-85fd-5cf39bc0ae25 · inbound

UCAN: Unified Convolutional Attention Network for Expansive Receptive Fields in Lightweight Super-Resolution cites this paper.

UCAN: Unified Convolutional Attention Network for Expansive Receptive Fields in Lightweight Super-Resolution Emulating Self-attention with Convolution for Efficient Image Super-Resolution

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:30:35.245648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T12:30:22.351735Z digest=sha256:3bddc76b49657d2ee43237b4b166e11eede5985037c1054cec2ed1a1e295892e