Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T16:36:50.562805Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2508.18182.
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, observed 2026-08-05T16:36:50.562805Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T16:34:48.903774Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T16:34:48.928876Z
12 of 12 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 9a9cfdc2-1215-45c2-89a2-0b9529789fc4 · outbound
AdLoCo: adaptive batching significantly improves communications efficiency and convergence for Large Language Models Adaptive Sampling Strategies for Stochastic Optimization
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0dedbaec-4bce-41b4-bc00-a316b222f390 · outbound
AdLoCo: adaptive batching significantly improves communications efficiency and convergence for Large Language Models Byrd, Gillian M
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d20fa830-0265-4a0b-8cef-3700bff4f7c1 · outbound
AdLoCo: adaptive batching significantly improves communications efficiency and convergence for Large Language Models DiLoCo: Distributed Low-Communication Training of Language Models
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2240402-f84f-4bff-bf6b-e03ee30bc0a8 · outbound
AdLoCo: adaptive batching significantly improves communications efficiency and convergence for Large Language Models Adaptive subgradient methods for online learning and stochastic optimization
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f3fb0a2d-5752-45f3-9c02-a9c011bdbc33 · outbound
AdLoCo: adaptive batching significantly improves communications efficiency and convergence for Large Language Models Communication-Efficient Adaptive Batch Size Strategies for Distributed Local Gradient Methods
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d73c9710-d506-4114-b18f-8aad88581f0c · outbound
AdLoCo: adaptive batching significantly improves communications efficiency and convergence for Large Language Models AdAdaGrad: Adaptive Batch Size Schemes for Adaptive Gradient Methods
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d83783d3-33d3-4d47-a3f5-abf2197918f1 · outbound
AdLoCo: adaptive batching significantly improves communications efficiency and convergence for Large Language Models Local SGD Converges Fast and Communicates Little
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34121115-5456-4696-b72b-d4227cc888ed · outbound
AdLoCo: adaptive batching significantly improves communications efficiency and convergence for Large Language Models Microllama: A 300m-parameter language model trained from scratch
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation adfcd00d-5c64-48d2-aabc-d841230d7e95 · outbound
AdLoCo: adaptive batching significantly improves communications efficiency and convergence for Large Language Models write newline
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e49ff0ef-618d-4131-afdd-51cb07683ae7 · outbound
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8ab24f6-bb8d-4714-b057-87857e9d4efd · outbound
AdLoCo: adaptive batching significantly improves communications efficiency and convergence for Large Language Models Unresolved cited work
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c0c3f3f-decd-42c1-9808-1e904f37d80c · outbound
AdLoCo: adaptive batching significantly improves communications efficiency and convergence for Large Language Models 7 x4f [ @w떆d bQ̪̺;Y̬7
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6c6a4f1-e616-49e0-8f72-f3d0dca0b319 · inbound
What is digital about abstraction? AdLoCo: adaptive batching significantly improves communications efficiency and convergence for Large Language Models
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.