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Paper Citation Record · LEDGER

UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2301.13741.

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

pith.paper-citation-record.v1
2301.13741 v3

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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:10:59.242964Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T12:30:20.490088Z

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 ac8142a6-7d8f-4393-b1b4-a72da9e2dc3e · inbound

Adaptive Pruning of Pretrained Transformer via Differential Inclusions cites this paper.

Adaptive Pruning of Pretrained Transformer via Differential Inclusions UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T22:10:59.242964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:10:59.242964Z digest=sha256:07b6bb423c0d40c6737ee9f44c246ec371feba50f103e7855a81c4db3ca8e96e

Observation ccb172c8-3599-4845-979c-ee2c87e0d72f · inbound

Detection Transformers Under the Knife: A Neuroscience-Inspired Approach to Ablations cites this paper.

Detection Transformers Under the Knife: A Neuroscience-Inspired Approach to Ablations UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-06T12:30:20.495967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T12:30:20.435996Z digest=sha256:ccb2caa45b6746cd4a3ca806d97119ca05a32c6dd7f3cfd29ffd19aba75e1f4e