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Paper Citation Record · LEDGER

Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.08072.

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

pith.paper-citation-record.v1
2307.08072 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 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:52:44.992363Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T08:02:23.806901Z

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 1ad99378-d8e5-402e-81bb-bd9239b6d009 · inbound

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model cites this paper.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study

Reference 159

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:23.810595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-19T08:02:23.002090Z digest=sha256:6c1dee1720f7032605bc42dd66eb5905a31a9ba476fe49f39ceca79c00afe735

Observation 6c8ae708-654e-4b8e-9995-e665688d7eef · inbound

Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs cites this paper.

Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T15:52:44.992363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:52:44.992363Z digest=sha256:9377950c422c60bc1a8e442f32ccabe736a886debf17b5a8641b36be0d3a7b1d

Observation efc6503c-f37f-48bd-89d6-4e29339a8ccc · inbound

Fair-GPTQ: Bias-Aware Quantization for Large Language Models cites this paper.

Fair-GPTQ: Bias-Aware Quantization for Large Language Models Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-04T16:19:26.042135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T16:19:26.042135Z digest=sha256:c27a2505e0b819f6ec1b7340a40db03cc36c01570d2d977c7fa0651ceb70a2d8