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Paper Citation Record · LEDGER

Vision Transformers with Natural Language Semantics

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.17863.

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

pith.paper-citation-record.v1
2402.17863 v1

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 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:22:07.371863Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T17:26:37.192005Z

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 f3abac6f-7a9f-43cb-ba93-79b754b0ce6b · inbound

freePruner: A Training-free Approach for Large Multimodal Model Acceleration cites this paper.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Vision Transformers with Natural Language Semantics

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T14:22:07.371863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:22:07.371863Z digest=sha256:dc1d16f49d558c688694ba8060c9862732d06e1a9770b39d07f1a37e663621b6

Observation b3fb685d-9bdb-44b7-8288-55b186f82c8f · inbound

Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA cites this paper.

Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA Vision Transformers with Natural Language Semantics

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T12:55:40.498643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:55:40.498643Z digest=sha256:956385c26c0f675297188931bd75595267119a520f9f4148e4e02ec965e8a341

Observation fbe59c62-e665-4d8f-a6ce-947b1fb8d6af · inbound

Explainability for Vision Foundation Models: A Survey cites this paper.

Explainability for Vision Foundation Models: A Survey Vision Transformers with Natural Language Semantics

Reference 134

Resolution
verified exact
local_arxiv, observed 2026-08-10T17:26:37.196611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T17:26:35.483097Z digest=sha256:8cfbc6d4c74bd4b3e25c1a5df238f03cd797e40b9f29c3b0a3e977823a535530