Paper Citation Record · LEDGER

Up or Down? Adaptive Rounding for Post-Training Quantization

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2004.10568.

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

pith.paper-citation-record.v1
2004.10568 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:26:51.626399Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:19:47.784742Z

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 99ab9e81-96ba-4f37-a426-b725beea7989 · inbound

On the Compression of Language Models for Code: An Empirical Study on CodeBERT cites this paper.

On the Compression of Language Models for Code: An Empirical Study on CodeBERT Up or Down? Adaptive Rounding for Post-Training Quantization

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T12:53:58.546181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b60d753e-85d4-4e8b-8e27-d397cf333dfe · inbound

FBQuant: FeedBack Quantization for Large Language Models cites this paper.

FBQuant: FeedBack Quantization for Large Language Models Up or Down? Adaptive Rounding for Post-Training Quantization

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-10T14:44:36.234576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b210edd9-11bb-41f6-af73-0a1ab55e1632 · inbound

FPTQuant: Function-Preserving Transforms for LLM Quantization cites this paper.

FPTQuant: Function-Preserving Transforms for LLM Quantization Up or Down? Adaptive Rounding for Post-Training Quantization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T10:43:44.852414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee549646-d103-4bea-8b68-47d41e8179a3 · inbound

BASE-Q: Bias and Asymmetric Scaling Enhanced Rotational Quantization for Large Language Models cites this paper.

BASE-Q: Bias and Asymmetric Scaling Enhanced Rotational Quantization for Large Language Models Up or Down? Adaptive Rounding for Post-Training Quantization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:23.724826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7f21b11-fa44-4318-a874-3ac1e9ad4786 · inbound

Post-Training Quantization of Generative and Discriminative LSTM Text Classifiers: A Study of Calibration, Class Balance, and Robustness cites this paper.

Post-Training Quantization of Generative and Discriminative LSTM Text Classifiers: A Study of Calibration, Class Balance, and Robustness Up or Down? Adaptive Rounding for Post-Training Quantization

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T17:55:14.246829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c7fb40d-2bc1-4e8e-9c71-610114543e80 · inbound

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception cites this paper.

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception Up or Down? Adaptive Rounding for Post-Training Quantization

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-05T10:50:16.934268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00070c34-0463-42cd-b5d8-682087ec819a · inbound

Hybrid Compression: Integrating Pruning and Quantization for Optimized Neural Networks cites this paper.

Hybrid Compression: Integrating Pruning and Quantization for Optimized Neural Networks Up or Down? Adaptive Rounding for Post-Training Quantization

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:19:47.786087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0a30f443-eb52-41a4-9ed9-093397107d49 · inbound

Cross-Layer Error Compensation and Finite-Sample Feature-Statistics Matching for Extreme Low-Bit Quantization of Large Language Models cites this paper.

Cross-Layer Error Compensation and Finite-Sample Feature-Statistics Matching for Extreme Low-Bit Quantization of Large Language Models Up or Down? Adaptive Rounding for Post-Training Quantization

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T01:35:42.260594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 960741bd-d7b9-4354-a140-3f5a453f9ddf · inbound

QuantiBias: Benchmarking Quantization-Induced Bias in LLMs cites this paper.

QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Up or Down? Adaptive Rounding for Post-Training Quantization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:51.443601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e73f742-8acc-4034-aea7-93e1458efc6e · inbound

SoftWater: Class-Aware Rate Allocation for Softmax Quantization cites this paper.

SoftWater: Class-Aware Rate Allocation for Softmax Quantization Up or Down? Adaptive Rounding for Post-Training Quantization

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T00:26:51.626399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.