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Paper Citation Record · LEDGER

Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2010.13369.

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

pith.paper-citation-record.v1
2010.13369 v1

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:45:09.952447Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T16:54:37.561848Z

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 100a6302-991b-4f57-a222-1ada0858b0ea · inbound

Eliciting Latent Predictions from Transformers with the Tuned Lens cites this paper.

Eliciting Latent Predictions from Transformers with the Tuned Lens Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping

Reference 95

Resolution
verified exact
arxiv_id, observed 2026-05-12T16:54:37.563952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T16:54:37.382049Z digest=sha256:9fc8f5dce729e85f48ec4e54688404cce21e5b4d152c0bb9538bdf02f24c32d9

Observation 2c7daa70-4d90-4fdb-8a50-23d4b97d8245 · inbound

TaDA: Training-free recipe for Decoding with Adaptive KV Cache Compression and Mean-centering cites this paper.

TaDA: Training-free recipe for Decoding with Adaptive KV Cache Compression and Mean-centering Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T10:45:09.952447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:45:09.952447Z digest=sha256:68734dc7a7bb7c5eaa27c8d2601ecbee70478a5956d22502efc962f28280c389