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Paper Citation Record · LEDGER

WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.17517.

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

pith.paper-citation-record.v1
2405.17517 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:19:59.342159Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T22:16:04.548724Z

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 f5ee1919-fa08-44cb-9c17-14e9163b604e · inbound

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities cites this paper.

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:16:04.550766Z

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.

source=pdf_text observed=2026-05-17T22:16:04.386706Z digest=sha256:37079c02617224efaf52bdaec615bc257aa9fe60a1080e1389bdd090deecbf6b

Observation 16000189-c95c-454e-81b6-4aad710f4dac · inbound

Model Parallelism With Subnetwork Data Parallelism cites this paper.

Model Parallelism With Subnetwork Data Parallelism WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:59.342159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:59.342159Z digest=sha256:324dc2f794ccafa4edb63aaf3849193e3e6323e5092bab746a6958b219465c22

Observation 2f595d93-b45a-42a4-8cd5-f81b06ca3339 · inbound

Overcoming the Communication-Performance Tradeoff in LLM Pretraining cites this paper.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-05T17:50:42.528727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:50:42.528727Z digest=sha256:c0e94d6ff213f179df5d75da2298b294bb9ab555c60b745f7512efad7e668c31