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Paper Citation Record · LEDGER

Win-Win: Training High-Resolution Vision Transformers from Two Windows

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.00632.

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

pith.paper-citation-record.v1
2310.00632 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:17:45.195526Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T05:28:46.385048Z

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 fa233b3c-660b-4750-83c5-0ac5e63dbd85 · inbound

Tile-Based ViT Inference with Visual-Cluster Priors for Zero-Shot Multi-Species Plant Identification cites this paper.

Tile-Based ViT Inference with Visual-Cluster Priors for Zero-Shot Multi-Species Plant Identification Win-Win: Training High-Resolution Vision Transformers from Two Windows

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T19:17:45.195526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:17:45.195526Z digest=sha256:e08f937136fcc988e390b8e0a78c0c043ef92578257e334df154bbaf52e105ef

Observation a99281de-d4ba-453c-864c-1e6df3ad8050 · inbound

FlowSeek: Optical Flow Made Easier with Depth Foundation Models and Motion Bases cites this paper.

FlowSeek: Optical Flow Made Easier with Depth Foundation Models and Motion Bases Win-Win: Training High-Resolution Vision Transformers from Two Windows

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-05T05:28:46.484827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:28:37.369257Z digest=sha256:25c757dfd8a18afe788c0b5de2a7e1524a443471c3a5e16debb4b9e29175b62e

Observation 4ed1c9ff-d185-49f9-86d8-597ef93d5d9d · inbound

FlowIt: Global Matching via Hierarchical Transformers and Optimal Transport for Optical Flow cites this paper.

FlowIt: Global Matching via Hierarchical Transformers and Optimal Transport for Optical Flow Win-Win: Training High-Resolution Vision Transformers from Two Windows

Reference 34

Resolution
unresolved
no resolver link, observed 2026-07-13T16:08:30.031334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T16:08:30.031334Z digest=sha256:6cf72c0db620cbd19de0fd59c01e0bedd81c0697fbcd60f42a90014378e81374