Paper Citation Record · LEDGER

A Survey on Transfer Learning in Natural Language Processing

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2007.04239.

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

pith.paper-citation-record.v1
2007.04239 v1

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 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:28:24.954378Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T13:46:04.725440Z

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 25f6aa92-919a-4946-875b-1ba7bd88342d · inbound

The Muddy Waters of Modeling Empathy in Language: The Practical Impacts of Theoretical Constructs cites this paper.

The Muddy Waters of Modeling Empathy in Language: The Practical Impacts of Theoretical Constructs A Survey on Transfer Learning in Natural Language Processing

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-10T14:47:59.585211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da6d03b8-fa93-4d65-92b1-a0aa32f9ceef · inbound

CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval cites this paper.

CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval A Survey on Transfer Learning in Natural Language Processing

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T12:28:24.954378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adc4ae1e-f191-4032-9676-dfc275e1a9d5 · inbound

Speaker Diarization for Low-Resource Languages Through Wav2vec Fine-Tuning cites this paper.

Speaker Diarization for Low-Resource Languages Through Wav2vec Fine-Tuning A Survey on Transfer Learning in Natural Language Processing

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-16T11:02:45.226247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74768d48-6c98-485d-b4f6-4f27bf2a4394 · inbound

RADS: Reinforcement Learning-Based Sample Selection Improves Transfer Learning in Low-resource and Imbalanced Clinical Settings cites this paper.

RADS: Reinforcement Learning-Based Sample Selection Improves Transfer Learning in Low-resource and Imbalanced Clinical Settings A Survey on Transfer Learning in Natural Language Processing

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:46:04.727052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.