Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CBQ: Cross-Block Quantization for Large Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2312.07950.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:50:06.273698Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T23:44:26.518920Z
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 754ff55a-3068-4a04-8c72-3a71345608b0 · inbound
NeUQI: Near-Optimal Uniform Quantization Parameter Initialization for Low-Bit LLMs cites this paper.
NeUQI: Near-Optimal Uniform Quantization Parameter Initialization for Low-Bit LLMs CBQ: Cross-Block Quantization for Large Language Models
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:50:06.273698Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9f9b799-e606-41d6-92f5-9b2ce40fda5d · inbound
Task-Specific Zero-shot Quantization-Aware Training for Object Detection cites this paper.
Task-Specific Zero-shot Quantization-Aware Training for Object Detection CBQ: Cross-Block Quantization for Large Language Models
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:05:21.422495Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a39cb12d-e94e-4a54-a86b-a51a6c8f777e · inbound
Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models cites this paper.
Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models CBQ: Cross-Block Quantization for Large Language Models
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T23:44:26.521848Z
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.
Observation 5254c56b-ec7e-4e88-9394-75bff88e9515 · inbound
DPQuant: Efficient and Differentially-Private Model Training via Dynamic Quantization Scheduling cites this paper.
DPQuant: Efficient and Differentially-Private Model Training via Dynamic Quantization Scheduling CBQ: Cross-Block Quantization for Large Language Models
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T19:11:46.574988Z
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.
Observation dca570d9-bc98-4065-8c5c-f1e8c777e6ff · inbound
CoreQ: Learning-Free Mismatch Correction and Successive Rounding for Quantization cites this paper.
CoreQ: Learning-Free Mismatch Correction and Successive Rounding for Quantization CBQ: Cross-Block Quantization for Large Language Models
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:52:28.407210Z
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.
Observation dd62b779-1806-4787-adc9-94e8e236e84c · inbound
SEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language Models cites this paper.
SEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language Models CBQ: Cross-Block Quantization for Large Language Models
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:30:58.338769Z
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.
Observation 9c0f9c99-8640-42cf-9514-d2c93523cc35 · inbound
Breaking Modality Heterogeneity in Low-Bit Quantization for Large Vision-Language Models cites this paper.
Breaking Modality Heterogeneity in Low-Bit Quantization for Large Vision-Language Models CBQ: Cross-Block Quantization for Large Language Models
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T05:23:03.687934Z
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.