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 31 inbound Pith citation observations for arXiv:2302.06675.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:42:25.255477Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-09T17:36:25.406188Z
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 57ca71f7-d270-4429-9d0d-72c6731cf7dd · inbound
DINOv2: Learning Robust Visual Features without Supervision Symbolic Discovery of Optimization Algorithms
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a08b87ba-946b-436b-8725-814045f60a52 · inbound
The Falcon Series of Open Language Models Symbolic Discovery of Optimization Algorithms
Reference 196
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d8c1c68b-d318-4dc0-86c2-21519eedcbae · inbound
Multi-megabase scale genome interpretation with genetic language models Symbolic Discovery of Optimization Algorithms
Reference 74
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca211374-f08d-44f9-80fb-7c41187d1ccf · inbound
Scaling Laws for Differentially Private Language Models Symbolic Discovery of Optimization Algorithms
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7615c643-16ed-474f-ad7f-04698c8c0a9e · inbound
Spectral-factorized Positive-definite Curvature Learning for NN Training Symbolic Discovery of Optimization Algorithms
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60ae8075-1183-4903-ab8c-9dde68c32c9b · inbound
AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training Symbolic Discovery of Optimization Algorithms
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7918ac2-3f3b-4dc0-ac4f-00962e7aedd4 · inbound
Comparative Analysis of Lion and AdamW Optimizers for Cross-Encoder Reranking with MiniLM, GTE, and ModernBERT Symbolic Discovery of Optimization Algorithms
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 559654b5-1189-44e8-8fa5-21b20f5338ab · inbound
Simple Convergence Proof of Adam From a Sign-like Descent Perspective Symbolic Discovery of Optimization Algorithms
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95fdae10-305a-4e29-92b0-50fbe1e9c141 · inbound
SoftSignSGD(S3): An Enhanced Optimizer for Practical DNN Training and Loss Spikes Minimization Beyond Adam Symbolic Discovery of Optimization Algorithms
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2049f298-757a-4752-a563-7d78d809c499 · inbound
How Should We Meta-Learn Reinforcement Learning Algorithms? Symbolic Discovery of Optimization Algorithms
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67cd5361-5c72-4d97-b27e-35d706dd1b44 · inbound
On the Convergence of Muon and Beyond Symbolic Discovery of Optimization Algorithms
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1e792baa-82b0-4293-91ff-89e058da97bb · inbound
Minimum Bayes Risk Decoding for Error Span Detection in Reference-Free Automatic Machine Translation Evaluation Symbolic Discovery of Optimization Algorithms
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49f1e76a-24fe-467f-9e0d-55b87865ff27 · inbound
OmniMol: Transferring Particle Physics Knowledge to Molecular Dynamics with Point-Edge Transformers Symbolic Discovery of Optimization Algorithms
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4b508cec-537d-41dd-8a86-794fba215770 · inbound
Xray-Visual Models: Scaling Vision models on Industry Scale Data Symbolic Discovery of Optimization Algorithms
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5568fbb-3cfe-4575-9548-88baac1a8b88 · inbound
Explicit or Implicit? Encoding Physics at the Precision Frontier Symbolic Discovery of Optimization Algorithms
Reference 96
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81979b2d-1c39-4b4b-8132-ca30308ab3d3 · inbound
Diffusion-Based Point-Cloud Generation of Heavy-Ion Events Symbolic Discovery of Optimization Algorithms
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c78ed247-9604-4283-9737-43dc52f1cdd3 · inbound
Scalable Neural Decoders for Practical Fault-Tolerant Quantum Computation Symbolic Discovery of Optimization Algorithms
Reference 75
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1dfb98b8-895e-48ea-8d9b-659802aadaa7 · inbound
GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling Symbolic Discovery of Optimization Algorithms
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 34c133dd-7700-4a2a-a61a-ce1f55460d33 · inbound
GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling Symbolic Discovery of Optimization Algorithms
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cc08a3d8-239e-4a2b-9470-b410a69bff2f · inbound
Enhancing SignSGD: Small-Batch Convergence Analysis and a Hybrid Switching Strategy Symbolic Discovery of Optimization Algorithms
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 57fee187-37eb-436c-8b2c-0713e868ed86 · inbound
Anon: Extrapolating Adaptivity Beyond SGD and Adam Symbolic Discovery of Optimization Algorithms
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 484cb4e2-d453-4546-a55d-eed293501774 · inbound
Navigating LLM Valley: From AdamW to Memory-Efficient and Matrix-Based Optimizers Symbolic Discovery of Optimization Algorithms
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a2ed7bde-4868-4215-b687-feaa51896a04 · inbound
Sparse Mamba Decoder for Quantum Error Correction: Efficient Defect-Centric Processing of Surface Code Syndromes Symbolic Discovery of Optimization Algorithms
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5dbf0b22-ae97-45d3-968b-b2d455b01c52 · inbound
Sparse Mamba Decoder for Quantum Error Correction: Efficient Defect-Centric Processing of Surface Code Syndromes Symbolic Discovery of Optimization Algorithms
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fc983ebb-95ac-4364-a8c6-fdbd2916168a · inbound
Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors Symbolic Discovery of Optimization Algorithms
Reference 152
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 59e9cc19-d5c2-4fa8-86c0-60d3adc6a026 · inbound
Optimizer Memory Makes Shuffle Order a First-Order Source of Fine-Tuning Noise Symbolic Discovery of Optimization Algorithms
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 35da35ee-c52e-40c0-a620-776a56160e05 · inbound
Token Geometry Symbolic Discovery of Optimization Algorithms
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5ac20898-c417-4c04-9797-4a2bb3d07a06 · inbound
Token Geometry Symbolic Discovery of Optimization Algorithms
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f5afe3f-29da-4905-995f-1d00d2663733 · inbound
Causal Optimizer Interaction Calculus: Hidden Geometric Relaxation and Identifiable Interventions Symbolic Discovery of Optimization Algorithms
Reference 69
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ab84205d-658e-476d-969b-1d4f3a51ee82 · inbound
HyBDM: Multi-Scale Hybrid Experts for Time Series Forecasting with Bidirectional Dependency Modeling Symbolic Discovery of Optimization Algorithms
Reference 51
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63a0e92a-972b-46f3-80e7-78c8bc76a5dd · inbound
Searching the Space of Feed-Forward Neural-Network Weight-Update Rules with Fixed Depth Symbolic Regression Symbolic Discovery of Optimization Algorithms
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.