Pith. sign in

Paper Citation Record · LEDGER

Vision Transformer with Sparse Scan Prior

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.13335.

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

pith.paper-citation-record.v1
2405.13335 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:04:29.713823Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:53:47.655533Z

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 f06efcc4-fd35-448f-91a4-da2750cd68f1 · inbound

Do we really have to filter out random noise in pre-training data for language models? cites this paper.

Do we really have to filter out random noise in pre-training data for language models? Vision Transformer with Sparse Scan Prior

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-08T15:04:29.713823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T15:04:29.713823Z digest=sha256:b8faecb0d0928b122a984e5e214acf4c7956191267ea302bff61d2f467fbfa7e

Observation 267252a0-8207-4b6c-802b-42630874524d · inbound

HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling cites this paper.

HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling Vision Transformer with Sparse Scan Prior

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:53:47.733820Z

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=2026-08-07T13:53:42.822060Z digest=sha256:b7f798a7ab42cae434cfc24f5cf38807ba51294394e60ef54a38fc8ddf935403