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Paper Citation Record · LEDGER

MixNet: Efficient Global Modeling for Ultra-High-Definition Image Restoration

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.10666.

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

pith.paper-citation-record.v1
2401.10666 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:22:43.534388Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:07:55.478876Z

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 a0570b5a-7474-4c82-8b2c-d99229f7f262 · inbound

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model cites this paper.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model MixNet: Efficient Global Modeling for Ultra-High-Definition Image Restoration

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-12T19:22:43.534388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:22:43.534388Z digest=sha256:448b0c2d2308c934d5a57ce16c066d3a7c4908ebe7fb0cbea12fea059b2a7951

Observation e2574c1a-6fc5-4029-b04b-1b2757f1a97a · inbound

Deep Learning-Driven Ultra-High-Definition Image Restoration: A Survey cites this paper.

Deep Learning-Driven Ultra-High-Definition Image Restoration: A Survey MixNet: Efficient Global Modeling for Ultra-High-Definition Image Restoration

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:07:55.565802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:07:52.170789Z digest=sha256:a585ae18883b036ae6ec6dbb6bf91175bb286fbf3af532d00c0d18b6f98ae5b4