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Paper Citation Record · LEDGER

Improved Knowledge Distillation for Pre-trained Language Models via Knowledge Selection

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2302.00444.

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

pith.paper-citation-record.v1
2302.00444 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:45:20.130774Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T11:06:36.788128Z

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 b95498d3-cdbf-4545-b8c0-ba3788c4c058 · inbound

Dynamic Self-Distillation via Previous Mini-batches for Fine-tuning Small Language Models cites this paper.

Dynamic Self-Distillation via Previous Mini-batches for Fine-tuning Small Language Models Improved Knowledge Distillation for Pre-trained Language Models via Knowledge Selection

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-12T12:45:20.130774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:45:20.130774Z digest=sha256:48cb5786b8720c20b4b17181a371394f9c7b2213c9d53ead7dc6b33e8cedafae

Observation 677b441c-b4be-4a23-be80-7122202ab095 · inbound

Active Data Curation Effectively Distills Large-Scale Multimodal Models cites this paper.

Active Data Curation Effectively Distills Large-Scale Multimodal Models Improved Knowledge Distillation for Pre-trained Language Models via Knowledge Selection

Reference 161

Resolution
verified exact
local_arxiv, observed 2026-08-12T11:06:36.796053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:06:36.331886Z digest=sha256:2a17eb8088247854347c0bed10b7800850d7fb5b47d441c87f2100eea063d4c3