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Paper Citation Record · LEDGER

Compression of Generative Pre-trained Language Models via Quantization

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2203.10705.

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

pith.paper-citation-record.v1
2203.10705 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:22:21.308184Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T20:28:39.399468Z

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 556cea37-e396-4412-8673-fc61ded30056 · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models Compression of Generative Pre-trained Language Models via Quantization

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-19T20:28:39.403155Z

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=2026-05-19T20:28:38.900026Z digest=sha256:dbf1f95160cc53e2a6f7b9c9072e37672809287f98ed92670e3d3516252e8f16

Observation 9de99356-e30e-4379-9c8a-798dd90e82f2 · inbound

A Survey on Knowledge Distillation of Large Language Models cites this paper.

A Survey on Knowledge Distillation of Large Language Models Compression of Generative Pre-trained Language Models via Quantization

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:31:11.579778Z

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=arxiv_source observed=2026-05-17T23:31:11.213552Z digest=sha256:e9948b94e93b66cbf297fca4e4bf948c08ed308e0ed80183102ac3e7c3af2bdb

Observation ecaaabf5-ddf1-42dd-af06-bad2fd84946a · inbound

Semantic Compression for Word and Sentence Embeddings using Discrete Wavelet Transform cites this paper.

Semantic Compression for Word and Sentence Embeddings using Discrete Wavelet Transform Compression of Generative Pre-trained Language Models via Quantization

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T10:22:21.308184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:22:21.308184Z digest=sha256:fe1cfa36b309b72cf6c3080d841dab9a46972822e257565e116922b1198a7e4e