Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2310.08041.
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 2026-08-07T15:43:40.373587Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T19:16:00.127957Z
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 8bdf71f2-acbd-41ce-b38c-e7e8b0fc251b · inbound
SpinQuant: LLM quantization with learned rotations cites this paper.
SpinQuant: LLM quantization with learned rotations QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T15:52:34.729809Z
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 d6c91468-ed32-41cc-b871-c9d3248a368f · inbound
Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis cites this paper.
Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:43:40.373587Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6ce4aef-7da2-4931-a3a7-8f5f2d8ea19b · inbound
Q-resafe: Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models cites this paper.
Q-resafe: Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:00:19.569973Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d0c7454-be91-4a71-9872-4e4468443fe1 · 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 QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:52:44.987170Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e42ecdb5-05ce-44e9-b1cf-79526c7ee07b · inbound
Integrating Pruning with Quantization for Efficient Deep Neural Networks Compression cites this paper.
Integrating Pruning with Quantization for Efficient Deep Neural Networks Compression QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:19:04.266249Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31834f89-43df-4f5c-98ca-e7943060c11a · inbound
MCBP: A Memory-Compute Efficient LLM Inference Accelerator Leveraging Bit-Slice-enabled Sparsity and Repetitiveness cites this paper.
MCBP: A Memory-Compute Efficient LLM Inference Accelerator Leveraging Bit-Slice-enabled Sparsity and Repetitiveness QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:00:22.916334Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1cba725-a488-4afd-9ecd-bf4f54754c6f · inbound
Efficient Reasoning on the Edge cites this paper.
Efficient Reasoning on the Edge QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
Reference 134
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T23:28:12.790404Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a969f39-8817-4846-bb20-66e648fb7a94 · inbound
AIS: Adaptive Importance Sampling for Quantized RL cites this paper.
AIS: Adaptive Importance Sampling for Quantized RL QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T03:14:52.770548Z
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 62820cb7-100b-4f3a-a5ea-93489fecd9b0 · inbound
Quantized Reasoning Models Think They Need to Think Longer, but They Do Not cites this paper.
Quantized Reasoning Models Think They Need to Think Longer, but They Do Not QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
Reference 6
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T19:16:00.129436Z
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.