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Paper Citation Record · LEDGER

Teaching Matters: Investigating the Role of Supervision in Vision Transformers

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2212.03862.

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

pith.paper-citation-record.v1
2212.03862 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-04T00:34:21.224797Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:39:16.425562Z

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 395d3687-65fc-4263-a248-db61931fc1a9 · inbound

Unsupervised Semantic Segmentation Facilitates Model Understanding cites this paper.

Unsupervised Semantic Segmentation Facilitates Model Understanding Teaching Matters: Investigating the Role of Supervision in Vision Transformers

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:43:15.476477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T08:37:02.350175Z digest=sha256:3cdffdd64ef80013d52ea1653f886f622dd3d94b045ca11c84c0e017b2059563

Observation e00d4f2f-35ed-4dca-9dbf-0ea2d3946829 · inbound

Unsupervised Semantic Segmentation Facilitates Model Understanding cites this paper.

Unsupervised Semantic Segmentation Facilitates Model Understanding Teaching Matters: Investigating the Role of Supervision in Vision Transformers

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:39:16.426944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-04T00:34:21.224797Z digest=sha256:4827f26b3483238047ba06fb46d6f08db776c7c9e1e59a4cb0a84cab9d1209ef