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Paper Citation Record · LEDGER

Compression of Generative Pre-trained Language Models via Quantization

As of 10 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T20:28:38.900026Z digest=sha256:4d01a1ef6e4b4330fd6c9b1b6d753823c4e362c06777d8733d679a2af2713ef3

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-17T23:31:11.213552Z digest=sha256:7d519857d039fd3c922695367fa7f1aa1d0e0ab6db6eca1792eeb11ccd822078

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:e736fc60db79f2a93bbebc2bc31ecb7f6bbf9f526f3a862d1521eb53c6993bb8