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Paper Citation Record · LEDGER

TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset

As of 12 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2608.09091.

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

pith.paper-citation-record.v1
2608.09091 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:44:53.416936Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

  • verified exact3
  • verified fuzzy3
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0ec7a7f7-d492-416b-addb-6a6db513ac9f · outbound

This paper cites Meta-Learning for Few-Shot Land Cover Classification.

TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset Meta-Learning for Few-Shot Land Cover Classification

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T23:44:53.329943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:44:53.329943Z digest=sha256:4b174118ea3488e0d89343ef6abc52ae080866f5aea3af51f0dae1db37bec172

Observation 0b121eed-a053-4f9f-b21c-e7ee1268466a · outbound

This paper cites an unresolved cited work.

TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-11T23:44:53.736361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T23:44:53.335588Z digest=sha256:a2ad9f56158d40dbb83db064c9b2bcfb3a4ad3e9187ee548761ec252fa53ae45

Observation 32e353ae-f252-4294-90da-98d747889c12 · outbound

This paper cites Hughes and Marcel Salath.

TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset Hughes and Marcel Salath

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:44:53.720305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T23:44:53.341931Z digest=sha256:22ec6aa5275ff4146fa9983c7aa33eec798bd2f3e28687777775bf8ada05ca86

Observation c8ee5f11-e78c-46cf-86a6-02be4521d5b4 · outbound

This paper cites an unresolved cited work.

TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset Unresolved cited work

Reference 4

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unresolved
raw_fallback, observed 2026-08-11T23:44:53.703347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T23:44:53.347238Z digest=sha256:3bb10912d68a92d3d69c2d183fb7db75931b0fee3b508cf0fb5d271f16cf55f3

Observation d7b6cca4-b83e-4aa1-9cf7-7aac737380df · outbound

This paper cites 2009 IEEE conference on computer vision and pattern recognition , pages =.

TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset 2009 IEEE conference on computer vision and pattern recognition , pages =

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-11T23:44:53.686080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T23:44:53.353019Z digest=sha256:5182df86236694911f87ecc6ea4eb338bc35da87c66fe592ced7179598893086

Observation 05c29922-0810-4faf-a622-7fde8a441b2b · outbound

This paper cites 2009 , type =.

TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset 2009 , type =

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:44:53.666813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T23:44:53.357790Z digest=sha256:7605f202fa5ace89a134efa43ad3d267c59c09ffb81c6df57a2d6eb7bb7ed9f2

Observation 6e46714d-c994-4cd4-9d5f-65cbd98fb221 · outbound

This paper cites Microsoft COCO: Common Objects in Context.

TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset Microsoft COCO: Common Objects in Context

Reference 7

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unresolved
no resolver link, observed 2026-08-11T23:44:53.362691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:44:53.362691Z digest=sha256:c9f3279bb93951ded92d0765056b6051236a66143bae272c3e44726e21dba88f

Observation 707b853b-4c70-41a9-85f7-a9b63ef407de · outbound

This paper cites An online database for plant image analysis software tools , journal =.

TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset An online database for plant image analysis software tools , journal =

Reference 8

Resolution
verified exact
doi, observed 2026-08-11T23:44:53.471863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T23:44:53.368094Z digest=sha256:612844c45cdb26262a7b25d0c0caeee5ab9bfc1968698cf7362d4ff09c6b323c

Observation eb401a73-6cad-4f5c-b9ec-1cff663c736c · outbound

This paper cites The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale.

TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T23:44:53.374068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:44:53.374068Z digest=sha256:2ee48261b3a378268b5bb529be7d9ffe6cf0150924e8fc90f6cb06935484ca10

Observation 614285cb-96bf-4267-b0ad-2596edabcd3c · outbound

This paper cites Learning multiple layers of features from tiny images , year =.

TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset Learning multiple layers of features from tiny images , year =

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T23:44:53.379237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:44:53.379237Z digest=sha256:4a55e1c9d7fe04798b1b5578777e0d807c8d0a993fffde67dc79a86bc341fc88

Observation 7cc678e4-ffd8-4a8f-91f1-b7b2e1f48c4e · outbound

This paper cites Using Pre-Training Can Improve Model Robustness and Uncertainty.

TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset Using Pre-Training Can Improve Model Robustness and Uncertainty

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T23:44:53.384423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:44:53.384423Z digest=sha256:22800a08129b69ff4a57ea9db4745576cf23ab999fd10965c68cfb291b7edc5c

Observation 7e5eb6a4-4153-40fb-b0b5-238efefe04a5 · outbound

This paper cites Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning.

TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-11T23:44:53.571060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T23:44:53.390174Z digest=sha256:6cd7d9cc561f68fb7c7fab1afd36c7c1deb1e1228fa51ac87bf73ca18605d876

Observation d4f456af-8efc-4a39-88fe-d229aec6eb5a · outbound

This paper cites To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks.

TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T23:44:53.395352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:44:53.395352Z digest=sha256:565ae8f7c3f5408da0fe3e5f44c49149e0e38f24abd177108596d27a0bd86264

Observation 505b3263-5b26-4641-9751-b5b1cb9bc497 · outbound

This paper cites Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution.

TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T23:44:53.400340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:44:53.400340Z digest=sha256:7a421b4cf0be4919ba99e4dfc3d700a95998710208cbef11795cd54721aefc0f

Observation daa71cf9-f772-4379-b5e0-4cb8bd549d44 · outbound

This paper cites Efficiently Identifying Task Groupings for Multi-Task Learning.

TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset Efficiently Identifying Task Groupings for Multi-Task Learning

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-11T23:44:53.531371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T23:44:53.405714Z digest=sha256:6bbab709c69ba7f129b0c2f55ac15ca7cec53f98cea05dcb825891fcde85abd7

Observation 230ad801-34bc-47fc-bf27-2f99e8614178 · outbound

This paper cites What is being transferred in transfer learning?.

TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset What is being transferred in transfer learning?

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T23:44:53.411664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:44:53.411664Z digest=sha256:05dd88964ab7bef273deeb1ecbd259393ca99553c3033d8404a9e2de92f0f2c4

Observation 7f6dfc14-3ef1-47a8-bac1-87de6b18e576 · outbound

This paper cites Similarity of Neural Network Representations Revisited.

TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset Similarity of Neural Network Representations Revisited

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T23:44:53.416936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:44:53.416936Z digest=sha256:0f7925778cdbb516ed0cdfe43666cd45b3d860f1ef103de216329097715c4453

Pith citing papers

No inbound Pith citation observations are available.