Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.20703.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:13:53.652373Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T16:28:05.645091Z
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 b0101030-01d9-421d-8a35-a662453e089f · inbound
Learning Explainable Dense Reward Shapes via Bayesian Optimization Vanishing Gradients in Reinforcement Finetuning of Language Models
Reference 43
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fbe4f1d8-2ca6-4ba5-b41b-280e2913fd18 · inbound
DGRO: Enhancing LLM Reasoning via Exploration-Exploitation Control and Reward Variance Management Vanishing Gradients in Reinforcement Finetuning of Language Models
Reference 45
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9b8c2c9-76d6-4051-8401-5bab14caf8f1 · inbound
SCALER:Synthetic Scalable Adaptive Learning Environment for Reasoning Vanishing Gradients in Reinforcement Finetuning of Language Models
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7f49cdb9-0e17-420c-8875-b45131c5558c · inbound
Goldilocks RL: Tuning Task Difficulty to Escape Sparse Rewards for Reasoning Vanishing Gradients in Reinforcement Finetuning of Language Models
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.