Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Scaling Laws for Precision
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2411.04330.
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 2026-08-08T20:44:48.443920Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 7ebcf684-9784-4b84-b16c-b8a1dc19ec57 · inbound
MixLLM: LLM Quantization with Global Mixed-precision between Output-features and Highly-efficient System Design cites this paper.
MixLLM: LLM Quantization with Global Mixed-precision between Output-features and Highly-efficient System Design Scaling Laws for Precision
Reference 22
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-23T06:57:40.270961Z
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 08afdb74-a924-4455-b045-0f40949cdcbd · inbound
QuEST: Stable Training of LLMs with 1-Bit Weights and Activations cites this paper.
QuEST: Stable Training of LLMs with 1-Bit Weights and Activations Scaling Laws for Precision
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T20:44:48.443920Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4132cec3-9b18-4494-9813-326748b70b12 · inbound
Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient cites this paper.
Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient Scaling Laws for Precision
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T20:06:23.536558Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ce689b7-426f-4e5f-8f35-fb0f2daa6f2d · inbound
Scaling Law for Quantization-Aware Training cites this paper.
Scaling Law for Quantization-Aware Training Scaling Laws for Precision
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:41:07.082716Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c7422eb-915f-4c85-9266-3449b88e1a37 · inbound
Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs cites this paper.
Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs Scaling Laws for Precision
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:06:24.610518Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be96af55-4446-4678-965c-8464ab15f5b4 · inbound
Unified Scaling Laws for Compressed Representations cites this paper.
Unified Scaling Laws for Compressed Representations Scaling Laws for Precision
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:40:07.103756Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d234a47-80c2-4656-af6e-d0da2da7c236 · inbound
Kinetics: Rethinking Test-Time Scaling Laws cites this paper.
Kinetics: Rethinking Test-Time Scaling Laws Scaling Laws for Precision
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:30:34.276380Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7e4579b-32d9-4e9f-88f3-5b8ebf06383d · inbound
Predictable Scale: Part II, Farseer: A Refined Scaling Law in Large Language Models cites this paper.
Predictable Scale: Part II, Farseer: A Refined Scaling Law in Large Language Models Scaling Laws for Precision
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:21:29.346210Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4380e891-2ae2-4b64-a401-36da515700d0 · inbound
Characterization and Mitigation of Training Instabilities in Microscaling Formats cites this paper.
Characterization and Mitigation of Training Instabilities in Microscaling Formats Scaling Laws for Precision
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:47:52.235193Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 896b51bb-cf59-40a2-ac90-ec1d324084a8 · inbound
LRM-1B: Towards Large Routing Model cites this paper.
LRM-1B: Towards Large Routing Model Scaling Laws for Precision
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:20:44.174979Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4926aa8e-9bf8-4ca7-8267-7d332fcbfd78 · inbound
QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models cites this paper.
QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models Scaling Laws for Precision
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:16:25.036428Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e91b256-0d82-4bcd-ad0d-353c4c24d757 · inbound
OASIS: Outlier-Aware LUT-Based GEMM with Dual-Side Quantization for LLM Inference Acceleration cites this paper.
OASIS: Outlier-Aware LUT-Based GEMM with Dual-Side Quantization for LLM Inference Acceleration Scaling Laws for Precision
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:15:33.959039Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77a1a9f5-b51f-4a18-b02d-d7fb973e58e6 · inbound
Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs cites this paper.
Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs Scaling Laws for Precision
Reference 27
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T05:30:55.061410Z
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 55f10632-c74f-4610-a32d-ddbc3da57613 · inbound
CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training cites this paper.
CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training Scaling Laws for Precision
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T08:50:46.192841Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7737ce5a-5f63-4d95-a054-21c4bf0edb50 · inbound
Continued AI Scaling Requires Repeated Efficiency Doublings cites this paper.
Continued AI Scaling Requires Repeated Efficiency Doublings Scaling Laws for Precision
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:32:58.868260Z
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 91c0a9ba-9230-4ba0-a128-f219dd32f689 · inbound
Switch-KD: Visual-Switch Knowledge Distillation for Vision-Language Models cites this paper.
Switch-KD: Visual-Switch Knowledge Distillation for Vision-Language Models Scaling Laws for Precision
Reference 20
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T11:25:18.548606Z
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 d48861ed-1443-4717-97ae-9a85b91220e1 · inbound
On the Quantization Robustness of Diffusion Language Models in Coding Benchmarks cites this paper.
On the Quantization Robustness of Diffusion Language Models in Coding Benchmarks Scaling Laws for Precision
Reference 17
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T00:24:47.008477Z
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 c4223ed8-f9e8-4f6a-8761-3b3611edde8c · inbound
A Hardware-Aware, Per-Layer Methodology for Post-Training Quantization of Large Language Models cites this paper.
A Hardware-Aware, Per-Layer Methodology for Post-Training Quantization of Large Language Models Scaling Laws for Precision
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T21:05:03.951165Z
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 508a95a2-2afe-4c7e-94d1-46f23da5fa1a · inbound
Asymmetric Scaling Laws from Sparse Features cites this paper.
Asymmetric Scaling Laws from Sparse Features Scaling Laws for Precision
Reference 23
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-25T03:20:16.932922Z
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 23864b76-d090-4a95-b643-dd81ceecb4cb · inbound
LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws cites this paper.
LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws Scaling Laws for Precision
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T04:35:21.781093Z
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 d56d4330-afff-4cf2-b55b-6864e4d2789b · inbound
When NPUs Are Not Always Faster: A Stage-Level Analysis of Mobile LLM Inference cites this paper.
When NPUs Are Not Always Faster: A Stage-Level Analysis of Mobile LLM Inference Scaling Laws for Precision
Reference 8
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T15:04:46.177292Z
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 0f74a084-582a-4c67-a1d0-66f1e3bcb47c · inbound
GoldenFloat: A Phi-Derived Static-Split Floating-Point Family from GF4 to GF1024 with a Lucas-Exact Integer Identity cites this paper.
GoldenFloat: A Phi-Derived Static-Split Floating-Point Family from GF4 to GF1024 with a Lucas-Exact Integer Identity Scaling Laws for Precision
Reference 24
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T11:26:54.600469Z
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 3207bbad-cee5-467a-a870-de7e887ed7f3 · inbound
Reference Traces for Auditing Invisible Weight Updates and Guiding Exact-Budget Protection cites this paper.
Reference Traces for Auditing Invisible Weight Updates and Guiding Exact-Budget Protection Scaling Laws for Precision
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T15:32:26.691504Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 72ce8324-0291-4f38-b0b6-71069e02c81b · inbound
Reliability Scaling Laws for Quantized Large Language Models cites this paper.
Reliability Scaling Laws for Quantized Large Language Models Scaling Laws for Precision
Reference 136
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T08:45:52.855783Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.