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Paper Citation Record · LEDGER

Evaluating Quantized Large Language Models for Code Generation on Low-Resource Language Benchmarks

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.14766.

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

pith.paper-citation-record.v1
2410.14766 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:58:05.761744Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:42:34.622262Z

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 ce4cbaa7-dad7-453b-92f3-522562202359 · inbound

Quantitative Analysis of Performance Drop in DeepSeek Model Quantization cites this paper.

Quantitative Analysis of Performance Drop in DeepSeek Model Quantization Evaluating Quantized Large Language Models for Code Generation on Low-Resource Language Benchmarks

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T00:58:05.761744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:58:05.761744Z digest=sha256:99f170025377af323d4fa9ecc3dfbee98ace4727f54d6cb2d6d549c7503fd51a

Observation cc6bc333-5290-473c-a4f2-f80ecb8e2008 · inbound

Capturing the Effects of Quantization on Trojans in Code LLMs cites this paper.

Capturing the Effects of Quantization on Trojans in Code LLMs Evaluating Quantized Large Language Models for Code Generation on Low-Resource Language Benchmarks

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:42:34.702908Z

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=2026-08-07T15:42:33.853560Z digest=sha256:e730581b0f22334ff800d30d98cd9e936bf739ff35fc2ce4c4b35ac499248455