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Paper Citation Record · LEDGER

Frozen Transformers in Language Models Are Effective Visual Encoder Layers

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.12973.

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

pith.paper-citation-record.v1
2310.12973 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 2026-08-06T23:28:15.348279Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:17:16.309288Z

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 39aa0589-0cce-45bf-95ad-a2044ceaac7c · inbound

Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster cites this paper.

Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster Frozen Transformers in Language Models Are Effective Visual Encoder Layers

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T23:28:15.348279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:28:15.348279Z digest=sha256:78759f33c043501ae2612f2a72dfe50b38cc577e36337d3b8389b44bf8252979

Observation 7df17b61-bd53-4908-bfe4-0825ff4c8666 · inbound

Language-Unlocked ViT (LUViT): Empowering Self-Supervised Vision Transformers with LLMs cites this paper.

Language-Unlocked ViT (LUViT): Empowering Self-Supervised Vision Transformers with LLMs Frozen Transformers in Language Models Are Effective Visual Encoder Layers

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:17:16.472633Z

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=2026-08-06T21:17:06.952393Z digest=sha256:d7d73607e4a1b61bc2a5237559538851093d4c61972acfa24587a482831e0ab8