Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Up or Down? Adaptive Rounding for Post-Training Quantization
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2004.10568.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:06:23.724826Z
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 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 2026-08-08T06:32:00.761636+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.