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Paper Citation Record · LEDGER

EnsemW2S: Enhancing Weak-to-Strong Generalization with Large Language Model Ensembles

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.04571.

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

pith.paper-citation-record.v1
2410.04571 v3

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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:17:44.209634Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T18:36:08.634531Z

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 04165f6d-d7d4-4730-a26d-f60c1464d2fe · inbound

On Weak-to-Strong Generalization and f-Divergence cites this paper.

On Weak-to-Strong Generalization and f-Divergence EnsemW2S: Enhancing Weak-to-Strong Generalization with Large Language Model Ensembles

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:44.209634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:17:44.209634Z digest=sha256:f3afe76eb3f43029c08fc272db4c87ee7b475fcf33501a147908bf643119ae15

Observation 9fbe78b5-2160-47d0-a62c-25b5479d6bd8 · inbound

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality cites this paper.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality EnsemW2S: Enhancing Weak-to-Strong Generalization with Large Language Model Ensembles

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T05:42:38.645861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:42:38.645861Z digest=sha256:7806658ad14c2d6f08e204c7cd5db01a15efcf44a85ecff9c1e77215527080d5

Observation 51f48a51-116f-42f5-90af-5c003ae5946e · inbound

LENS: Learning Ensemble Confidence from Neural States for Multi-LLM Answer Integration cites this paper.

LENS: Learning Ensemble Confidence from Neural States for Multi-LLM Answer Integration EnsemW2S: Enhancing Weak-to-Strong Generalization with Large Language Model Ensembles

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T11:03:16.481258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:03:16.481258Z digest=sha256:14980ef9379b6d575fe18537fb40d43a76d54ac85ceb63c34db2bb947479782f

Observation a5961ae0-e220-4cb3-b0f7-1792adef2a84 · inbound

On the Blessing of Pre-training in Weak-to-Strong Generalization cites this paper.

On the Blessing of Pre-training in Weak-to-Strong Generalization EnsemW2S: Enhancing Weak-to-Strong Generalization with Large Language Model Ensembles

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:36:08.640367Z

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=arxiv_source observed=2026-05-08T14:59:19.883399Z digest=sha256:60e2ae2d79bcbe64e56c33e99adf3d46df7a0a8cbc911d29444160559172c7a2