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Paper Citation Record · LEDGER

SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.14070.

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

pith.paper-citation-record.v1
2306.14070 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:16:45.710068Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:51:48.009859Z

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 9776b2d4-fa63-44f1-b3d6-420085c5e32f · inbound

Embedding Trust at Scale: Physics-Aware Neural Watermarking for Secure and Verifiable Data Pipelines cites this paper.

Embedding Trust at Scale: Physics-Aware Neural Watermarking for Secure and Verifiable Data Pipelines SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning

Reference 11

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T14:51:48.091374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:51:46.926084Z digest=sha256:8650f355959c80670db37d6b0f296f3fcf2744e79270fb45c77801b97350548c

Observation ecf07f5e-003b-453f-94b4-b3f022f7e209 · inbound

TIDE: A Physically Diverse 3D Turbulence Benchmark Dataset for Advancing Scientific Machine Learning cites this paper.

TIDE: A Physically Diverse 3D Turbulence Benchmark Dataset for Advancing Scientific Machine Learning SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-08T00:16:45.710068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:16:45.710068Z digest=sha256:0ec270aa5497e6d9339d0fe5376a89b141fc1d31c249b7f39de06711e84e285a