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Paper Citation Record · LEDGER

Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2107.01378.

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

pith.paper-citation-record.v1
2107.01378 v4

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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:24:25.750290Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:05:22.619862Z

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 73295e50-bd7b-44eb-b709-5d74ba03182c · inbound

iFormer: Integrating ConvNet and Transformer for Mobile Application cites this paper.

iFormer: Integrating ConvNet and Transformer for Mobile Application Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T14:24:25.750290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:24:25.750290Z digest=sha256:be3c398c07642a56bb6e88e58a14661a79d49bff8f545adac1f53622cf9be862

Observation 251bb492-cb31-44c0-98bd-6ddcc0baad0a · inbound

AnchorFormer: Differentiable Anchor Attention for Efficient Vision Transformer cites this paper.

AnchorFormer: Differentiable Anchor Attention for Efficient Vision Transformer Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:05:22.656540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T15:05:18.249357Z digest=sha256:dee8d99b708502d0838d29929edc3560258f6a95d4161652ee392ee9c0be3d60