Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2210.15424.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:59:50.770942Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T01:35:21.345442Z
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 61e030e2-6750-4d34-8d0e-a272c29193ed · inbound
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling What Language Model to Train if You Have One Million GPU Hours?
Reference 232
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1d76c07f-1ff9-4630-a381-4bb3ff401c88 · inbound
Scaling Data-Constrained Language Models What Language Model to Train if You Have One Million GPU Hours?
Reference 104
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 988db356-63c8-4340-897a-92518cfc7e01 · inbound
The Falcon Series of Open Language Models What Language Model to Train if You Have One Million GPU Hours?
Reference 90
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8e9d6a9b-80c6-4f3d-a745-da2f5c871800 · inbound
StarCoder 2 and The Stack v2: The Next Generation What Language Model to Train if You Have One Million GPU Hours?
Reference 270
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cfd28a2c-8728-4634-9af2-5ed19faba107 · inbound
Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN What Language Model to Train if You Have One Million GPU Hours?
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd4fec3b-5f25-4c4d-860d-e6cf23ba19dc · inbound
YuLan-Mini: An Open Data-efficient Language Model What Language Model to Train if You Have One Million GPU Hours?
Reference 87
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69231a50-059b-4c37-96f3-12b761480a4a · inbound
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training What Language Model to Train if You Have One Million GPU Hours?
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 053e27b0-90d8-4de3-bdbf-9800e74e486f · inbound
LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch What Language Model to Train if You Have One Million GPU Hours?
Reference 114
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4df4f656-6100-4cdc-a03e-1fbc6acb3228 · inbound
GreenMind: A Next-Generation Vietnamese Large Language Model for Structured and Logical Reasoning What Language Model to Train if You Have One Million GPU Hours?
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a65fb9e5-510a-45de-9c7b-e09761f73eb6 · inbound
SoftSignSGD(S3): An Enhanced Optimizer for Practical DNN Training and Loss Spikes Minimization Beyond Adam What Language Model to Train if You Have One Million GPU Hours?
Reference 39
Source-reported events for the cited work
Unavailable: canonical work link unavailable.