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Paper Citation Record · LEDGER

A Comprehensive Survey on Transfer Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1911.02685.

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

pith.paper-citation-record.v1
1911.02685 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:20:29.078631Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:16:16.172617Z

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 f7c9fea6-6fe2-4c84-9205-060133dd45d7 · inbound

Editing Models with Task Arithmetic cites this paper.

Editing Models with Task Arithmetic A Comprehensive Survey on Transfer Learning

Reference 113

Resolution
verified exact
arxiv_id, observed 2026-05-13T08:09:13.257947Z

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=pdf_text observed=2026-05-13T08:09:12.716163Z digest=sha256:ea07b6f0017e6e23a7cfafc648e9e2d1d4cf28bbb6af833da5d1bf56aa37cf2c

Observation c34c2de5-af1e-44a2-9c84-eca5124ad277 · inbound

Limited Generalizability in Argument Mining: State-Of-The-Art Models Learn Datasets, Not Arguments cites this paper.

Limited Generalizability in Argument Mining: State-Of-The-Art Models Learn Datasets, Not Arguments A Comprehensive Survey on Transfer Learning

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-07T13:20:29.078631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:20:29.078631Z digest=sha256:97fe28d38909aacd6547ac0298d84be1f92e56dee4fc5335c18a289df854560b

Observation 8a437a49-07b0-4144-aff2-ee10a4e6daa3 · inbound

Using Diffusion Models to do Data Assimilation cites this paper.

Using Diffusion Models to do Data Assimilation A Comprehensive Survey on Transfer Learning

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T11:35:48.870305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:35:48.870305Z digest=sha256:87730b598553a0afaa6d494879d03a9c77851566cb7a4b29411dfe8fe0e1ebc3

Observation 49fefb84-189f-4121-bd49-b11e8aa37a5c · inbound

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks cites this paper.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks A Comprehensive Survey on Transfer Learning

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-06T15:05:56.027331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:05:56.027331Z digest=sha256:ce3886f0c6d7f21c9ef1f70b05524bae5c2af82000eb06b1c1f517b0b09cb13a

Observation 163fc6fa-8398-4dfb-a399-fd337560e31c · inbound

Leveraging Large Language Models for Generating Research Topic Ontologies: A Multi-Disciplinary Study cites this paper.

Leveraging Large Language Models for Generating Research Topic Ontologies: A Multi-Disciplinary Study A Comprehensive Survey on Transfer Learning

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-05T14:57:56.692730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:57:56.692730Z digest=sha256:9f1455210a67d83b5e78ba79789ee53dfd664a75156584a5872ec93e6779087e

Observation 1a3d4720-2f3a-49c0-a385-d4b62ea57924 · inbound

Automatic Identification and Description of Jewelry Through Computer Vision and Neural Networks for Translators and Interpreters cites this paper.

Automatic Identification and Description of Jewelry Through Computer Vision and Neural Networks for Translators and Interpreters A Comprehensive Survey on Transfer Learning

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T13:25:17.242448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:25:17.242448Z digest=sha256:9a4ef25924977091e7313ef47c58d101cd13fb52f9121b51d2a09c43395c3231

Observation 1d12e047-eaba-4c51-92b6-91937e520cfb · inbound

IP-Basis PINNs: Efficient Multi-Query Inverse Parameter Estimation cites this paper.

IP-Basis PINNs: Efficient Multi-Query Inverse Parameter Estimation A Comprehensive Survey on Transfer Learning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T22:39:13.461485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:39:13.461485Z digest=sha256:f423c322631aae96ca79c13a4d55ed071123e9197f82f0e1da2c2e4eb07a6820

Observation 0241fd92-3b2e-4595-b439-4a869ddc50d9 · inbound

Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum cites this paper.

Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum A Comprehensive Survey on Transfer Learning

Reference 129

Resolution
unresolved
no resolver link, observed 2026-08-04T16:34:46.615978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T16:34:46.615978Z digest=sha256:239d4e8ff2da6d2bda3f8f5b82fe4f678d6cf91919069eb11285ecfaf0a8a881

Observation 2dc7ea44-21d6-467b-ab18-d194fdaef643 · inbound

Transfer Learning Beyond the Standard Model cites this paper.

Transfer Learning Beyond the Standard Model A Comprehensive Survey on Transfer Learning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T08:47:14.845883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:47:14.845883Z digest=sha256:2ede1ddbfa06a09046545be3d6cfa3ce1fd72d2c8eb2345bb59458c02245c76a

Observation 7ac0dee1-2987-48eb-98bc-1eec00b9b1ac · inbound

Attention mechanisms and transfer learning for robust peach leaf damage classification under domain shift cites this paper.

Attention mechanisms and transfer learning for robust peach leaf damage classification under domain shift A Comprehensive Survey on Transfer Learning

Reference 156

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:16:16.173942Z

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=2026-06-28T15:36:55.675366Z digest=sha256:6cb3468b0d01b98a29aa76974b946574447fd97fa3bb33df210fb92905a81d85