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Paper Citation Record · LEDGER

AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2302.07027.

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

pith.paper-citation-record.v1
2302.07027 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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:57:16.005446Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T11:32:37.088147Z

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 6f8ea430-8cd3-4720-ba36-25831f0259b9 · inbound

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey cites this paper.

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-13T11:32:37.089595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T11:32:36.738536Z digest=sha256:54d637a2afa50bfdb4af112f98d5e074e12753617ad59a92afaad29cd5cc3d22

Observation c6f511af-e303-474e-abc6-8ae8dbe74248 · inbound

FlexOlmo: Open Language Models for Flexible Data Use cites this paper.

FlexOlmo: Open Language Models for Flexible Data Use AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T18:57:16.005446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:57:16.005446Z digest=sha256:26bd4be65561a5dc11b26b27d38b6a6698066a09abad6f5ea9c2c206ad54086a

Observation 69590e2e-09af-40ad-b1ea-8164a0f2160f · inbound

Tensorized Clustered LoRA Merging for Multi-Task Interference cites this paper.

Tensorized Clustered LoRA Merging for Multi-Task Interference AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T01:01:48.104090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T01:01:48.104090Z digest=sha256:cd9e2ce11f1dcd8e25c24393774cdeb258995bc804e5bbf5bf93fc7650b0ffba

Observation 3607e9dd-72d6-4334-98d1-783525177c5a · inbound

Semantic-guided LoRA Parameters Generation cites this paper.

Semantic-guided LoRA Parameters Generation AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-05T05:37:05.785956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:37:05.785956Z digest=sha256:f84c7f10873329e313101555d0da432c5b8c0abcd4430ac865050bace68e9b6c