Paper Citation Record · LEDGER

Evaluating Quantized Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2402.18158.

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

pith.paper-citation-record.v1
2402.18158 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 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 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:30:39.231092Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

9
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a641a9ca-a70c-44e2-9388-49afc993aa36 · inbound

A Survey on Efficient Inference for Large Language Models cites this paper.

A Survey on Efficient Inference for Large Language Models Evaluating Quantized Large Language Models

Reference 214

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T02:39:33.265457Z

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.

Observation 862a78e2-e4d7-445d-a3fd-fd1aec2ef33e · inbound

Vision-Language and Large Language Model Performance in Gastroenterology: GPT, Claude, Llama, Phi, Mistral, Gemma, and Quantized Models cites this paper.

Vision-Language and Large Language Model Performance in Gastroenterology: GPT, Claude, Llama, Phi, Mistral, Gemma, and Quantized Models Evaluating Quantized Large Language Models

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:18:31.866486Z

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.

Observation b6586653-72ae-4257-81b4-6bf90a70891a · inbound

Precision or Peril: A PoC of Python Code Quality from Quantized Large Language Models cites this paper.

Precision or Peril: A PoC of Python Code Quality from Quantized Large Language Models Evaluating Quantized Large Language Models

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T17:33:15.804739Z

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.

Observation 49c2c6c4-0842-4523-82b2-4b6c13b7baf4 · inbound

QM-ToT: A Medical Tree of Thoughts Reasoning Framework for Quantized Model cites this paper.

QM-ToT: A Medical Tree of Thoughts Reasoning Framework for Quantized Model Evaluating Quantized Large Language Models

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T19:45:03.999245Z

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.

Observation 791978d9-f2a4-4084-8f0a-e4bacc79b3eb · inbound

Rethinking the Outlier Distribution in Large Language Models: An In-depth Study cites this paper.

Rethinking the Outlier Distribution in Large Language Models: An In-depth Study Evaluating Quantized Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:39.231092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28dadb7d-edbc-4464-bdb0-e51cb846929c · inbound

Pruning General Large Language Models into Customized Expert Models cites this paper.

Pruning General Large Language Models into Customized Expert Models Evaluating Quantized Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T11:27:14.258704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c4cb3a6-46e1-4183-bac2-86cdaabd1031 · inbound

Unifying Block-wise PTQ and Distillation-based QAT for Progressive Quantization toward 2-bit Instruction-Tuned LLMs cites this paper.

Unifying Block-wise PTQ and Distillation-based QAT for Progressive Quantization toward 2-bit Instruction-Tuned LLMs Evaluating Quantized Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T05:04:02.889275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cede3b5-eac3-48a3-bf2d-db4b57c70020 · inbound

Edge-ASR: Towards Low-Bit Quantization of Automatic Speech Recognition Models cites this paper.

Edge-ASR: Towards Low-Bit Quantization of Automatic Speech Recognition Models Evaluating Quantized Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T18:33:17.787323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5321d1b0-82b7-4fe2-b846-3797573e3090 · inbound

Quantized Large Language Models in Biomedical Natural Language Processing: Evaluation and Recommendation cites this paper.

Quantized Large Language Models in Biomedical Natural Language Processing: Evaluation and Recommendation Evaluating Quantized Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T10:38:33.171501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 994bf317-485b-406e-9b17-b7dc8e9239e8 · inbound

Are Large Language Models Economically Viable for Industry Deployment? cites this paper.

Are Large Language Models Economically Viable for Industry Deployment? Evaluating Quantized Large Language Models

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:01:18.858666Z

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.

Observation be665ed4-b785-4c91-aa89-6a310314efce · inbound

From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM Quantization cites this paper.

From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM Quantization Evaluating Quantized Large Language Models

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T02:38:17.211730Z

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.

Observation 9c61f32c-77f3-4168-b6dd-c6aabcdfd732 · inbound

Perplexity Can Miss SAE Feature Damage Under Quantization cites this paper.

Perplexity Can Miss SAE Feature Damage Under Quantization Evaluating Quantized Large Language Models

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T01:36:25.768691Z

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.

Observation f3e9302a-6a15-4969-a71b-1c4e382d91d0 · inbound

Silent Failures in Quantized LLM Reasoning: A Taxonomy-Based Analysis of Hollow Convergence and Failure Mode Shifts cites this paper.

Silent Failures in Quantized LLM Reasoning: A Taxonomy-Based Analysis of Hollow Convergence and Failure Mode Shifts Evaluating Quantized Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T01:09:27.619062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa195c14-2a97-447f-b0b5-67b817eb6da2 · inbound

Silent Failures in Quantized LLM Reasoning: A Taxonomy-Based Analysis of Hollow Convergence and Failure Mode Shifts cites this paper.

Silent Failures in Quantized LLM Reasoning: A Taxonomy-Based Analysis of Hollow Convergence and Failure Mode Shifts Evaluating Quantized Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T07:32:09.425235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d07172d7-c5a5-4169-ae9c-fa21a4da35a0 · inbound

Reliability Scaling Laws for Quantized Large Language Models cites this paper.

Reliability Scaling Laws for Quantized Large Language Models Evaluating Quantized Large Language Models

Reference 147

Resolution: unresolved; no resolver link, observed 2026-07-14T08:45:52.855783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77a50fc8-4e32-4fd5-abfa-13ed2c24cc7d · inbound

HindsightBench: A Black-Box Behavioral Audit Protocol for Parametric Hindsight in Time-Indexed LLM Decision Tasks cites this paper.

HindsightBench: A Black-Box Behavioral Audit Protocol for Parametric Hindsight in Time-Indexed LLM Decision Tasks Evaluating Quantized Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T14:11:08.947017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95b8362e-7bda-4fa3-97a6-70d21818ffdd · inbound

Where Facts Go Missing: A Layerwise Taxonomy and Per-Layer Attribution of Information Omission in Air-Gapped LLMAgent Pipelines cites this paper.

Where Facts Go Missing: A Layerwise Taxonomy and Per-Layer Attribution of Information Omission in Air-Gapped LLMAgent Pipelines Evaluating Quantized Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T04:48:26.573189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec3223d8-5603-4358-8451-54a6824152ac · inbound

Studying quantization trade-offs for efficient inference deployment in machine translation cites this paper.

Studying quantization trade-offs for efficient inference deployment in machine translation Evaluating Quantized Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T07:51:21.284174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21f944eb-a174-4f2c-8927-6569e53c812e · inbound

Studying quantization trade-offs for efficient inference deployment in machine translation cites this paper.

Studying quantization trade-offs for efficient inference deployment in machine translation Evaluating Quantized Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T04:25:21.969659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.