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Paper Citation Record · LEDGER

AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models

As of 8 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=sha256:759e4214ff6793ab48df6b72a0f758219579a814f8d5ef64a77da6e377ea22ef

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=sha256:563b5e00c663cc00c38b2289403a412778ecc54a9e82315f7ffd074e494733a4

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:ac84e46d77463ed4e12fcc4fd2e52f46c5900cea1b90e40fa12650a25291c46b

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=sha256:893f37ffbc6f1c988c8d9b6d6a230e0572b787c14d0e3b7003e83809910a7e86