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Paper Citation Record · LEDGER

Rethinking Alignment in Video Super-Resolution Transformers

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2207.08494.

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

pith.paper-citation-record.v1
2207.08494 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:09:10.113240Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T19:18:19.578983Z

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 502c0c2d-3ea7-4549-a515-802888dc4269 · inbound

Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution cites this paper.

Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution Rethinking Alignment in Video Super-Resolution Transformers

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-16T01:09:10.113240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:09:10.113240Z digest=sha256:67a75746c75f071bbe16a2cac8a046f80ec00d0b0360d267e62d41d8d1bc68b5

Observation 400618f3-79b6-4c35-8872-c22e7e9b60ac · inbound

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion cites this paper.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion Rethinking Alignment in Video Super-Resolution Transformers

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-16T19:18:19.581036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-16T19:14:15.240218Z digest=sha256:b34b94ef66379b670516064a244eedc1d5e675f69c2d5c3a67e4be379435e16e