Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2310.01382.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
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 2026-08-09T17:37:39.615850Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T02:39:33.333826Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation afabfb92-2e9f-46d1-8e15-a93e896d6897 · inbound
A Survey on Efficient Inference for Large Language Models Compressing LLMs: The Truth is Rarely Pure and Never Simple
Reference 235
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 6a15da23-7dd0-4138-8b6c-b2475b3ffc78 · inbound
Activation Approximations Can Incur Safety Vulnerabilities Even in Aligned LLMs: Comprehensive Analysis and Defense Compressing LLMs: The Truth is Rarely Pure and Never Simple
Reference 67
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7635ee2f-f159-473c-9459-a4a3901a698e · inbound
Fair-GPTQ: Bias-Aware Quantization for Large Language Models Compressing LLMs: The Truth is Rarely Pure and Never Simple
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1467d78d-fc7b-4f0f-a6fd-d449913b343f · inbound
Representation-Guided Parameter-Efficient LLM Unlearning Compressing LLMs: The Truth is Rarely Pure and Never Simple
Reference 133
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 e35a557c-3005-4627-8394-4ae1d31ca258 · inbound
Reliability Scaling Laws for Quantized Large Language Models Compressing LLMs: The Truth is Rarely Pure and Never Simple
Reference 73
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 239c5939-5447-4848-9b24-f0ccbe8fa40a · inbound
Examining the Efficacy of Graph Neural Network Message-Passing in Regression Contexts Compressing LLMs: The Truth is Rarely Pure and Never Simple
Reference 241
Source-reported events for the cited work
Unavailable: canonical work link unavailable.