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Paper Citation Record · LEDGER

CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2012.14682.

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

pith.paper-citation-record.v1
2012.14682 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:27:01.724169Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T20:16:10.225340Z

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 e6bee921-81a2-4d50-9fd9-b0c18ccd2fab · inbound

DiffServe: Efficiently Serving Text-to-Image Diffusion Models with Query-Aware Model Scaling cites this paper.

DiffServe: Efficiently Serving Text-to-Image Diffusion Models with Query-Aware Model Scaling CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T14:27:01.724169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:27:01.724169Z digest=sha256:717a6e9cc3ef11762316aa7134dcec89deaff0307852dd313156aeeb39b3f60e

Observation 75c719aa-47bc-47ac-be6b-1cf8627ff0ab · inbound

Network Edge Inference for Large Language Models: Principles, Techniques, and Opportunities cites this paper.

Network Edge Inference for Large Language Models: Principles, Techniques, and Opportunities CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade

Reference 94

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:16:10.229507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-08T09:45:57.201837Z digest=sha256:f2a98531f270afb5b4ef4dfcc93bdf68b62e669e8d3d115e427ea84a0cc4cd9e