Pith. sign in

Paper Citation Record · LEDGER

Stochastic Weight Averaging in Parallel: Large-Batch Training that Generalizes Well

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2001.02312.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2001.02312 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:09:11.586965Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T20:59:06.334022Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 965d639e-0f08-4568-a61d-5d21c06ce7ec · inbound

Task Arithmetic Through The Lens Of One-Shot Federated Learning cites this paper.

Task Arithmetic Through The Lens Of One-Shot Federated Learning Stochastic Weight Averaging in Parallel: Large-Batch Training that Generalizes Well

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-12T11:09:11.586965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:09:11.586965Z digest=sha256:ca1125abc7c563266ad5d7a6cf6ea1a118706b6c4f87c14cdf8760c7326ea566

Observation ad5b35ca-cedf-45d0-baf1-cfcd51f5377f · inbound

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation cites this paper.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation Stochastic Weight Averaging in Parallel: Large-Batch Training that Generalizes Well

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T20:35:38.290317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:35:38.290317Z digest=sha256:2e517c8baad8e3dfb01745ef370f6d07b952aebe6d22cbaa7078ec1a42106045

Observation 06f926cf-8a87-4a15-b003-00af713ae37e · inbound

CLUES: Collaborative High-Quality Data Selection for LLMs via Training Dynamics cites this paper.

CLUES: Collaborative High-Quality Data Selection for LLMs via Training Dynamics Stochastic Weight Averaging in Parallel: Large-Batch Training that Generalizes Well

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:59:06.406840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T20:59:03.457350Z digest=sha256:c8255d44a5b9065ae0351cc2e19e1ab6da58646a02a49b7175fdde164884c135

Observation 36ad303a-b79b-4d0a-8c7a-dbc9a0f9ba00 · inbound

Enough is as good as a feast: A Comprehensive Analysis of How Reinforcement Learning Mitigates Task Conflicts in LLMs cites this paper.

Enough is as good as a feast: A Comprehensive Analysis of How Reinforcement Learning Mitigates Task Conflicts in LLMs Stochastic Weight Averaging in Parallel: Large-Batch Training that Generalizes Well

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T06:05:52.045668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:05:52.045668Z digest=sha256:f7c757ac101b6be6752371d7bc995113429546effd5c3f92b290dc1e729986e2