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Paper Citation Record · LEDGER

Revisiting Few-sample BERT Fine-tuning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2006.05987.

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

pith.paper-citation-record.v1
2006.05987 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:56:09.628011Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:59:45.322648Z

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 27cd7d9e-0db2-4408-8924-209d2777981c · inbound

PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment cites this paper.

PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment Revisiting Few-sample BERT Fine-tuning

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-09T16:56:09.628011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:56:09.628011Z digest=sha256:615cde3e1ee5d0eaa662d91f83fa647d8cbddca78703fd970a9a086142253406

Observation 73c654a7-ca1b-40ac-9f70-9ce666f0cfd4 · inbound

Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription cites this paper.

Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription Revisiting Few-sample BERT Fine-tuning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-09T11:34:07.980701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:34:07.980701Z digest=sha256:e1c8dc54a7d4d37cda60c684f6b399e398bade9c35e68c192818d006eef96952

Observation 1caf405c-68c6-4d89-8c8e-5122eee784d8 · inbound

Should We Still Pretrain Encoders with Masked Language Modeling? cites this paper.

Should We Still Pretrain Encoders with Masked Language Modeling? Revisiting Few-sample BERT Fine-tuning

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-19T06:32:07.689294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-19T06:31:37.201344Z digest=sha256:56292011ecaa4998b37dfe79f106c68a32fc00c7d50c6cdaa77e14ee58596457

Observation a38817e3-9a03-4242-8251-b05e7462c018 · inbound

Domain Adaptation of Large Language Models for Polymer-Composite Additive Manufacturing Using Retrieval-Augmented Generation and Fine-Tuning cites this paper.

Domain Adaptation of Large Language Models for Polymer-Composite Additive Manufacturing Using Retrieval-Augmented Generation and Fine-Tuning Revisiting Few-sample BERT Fine-tuning

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:58:03.840760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T21:53:03.496879Z digest=sha256:f8895d434e375884f084b6f639becfe03b59313e9bc78de11b5e9e80bc4d1cba

Observation ed2da1c3-e1ef-4fbb-ac2a-3791e0f7cc71 · inbound

GRAIN: Group Aggregation via Min-Norm Objective cites this paper.

GRAIN: Group Aggregation via Min-Norm Objective Revisiting Few-sample BERT Fine-tuning

Reference 80

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T09:59:45.324063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T09:18:55.049767Z digest=sha256:f9515574e29daa06542977972d28aec6371a9fb488fe1c5fe83fe78d1204cdfe