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Paper Citation Record · LEDGER

TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset

As of 14 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 2026-08-14T06:32:32.682623+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=sha256:766a3887dcfefe245a580e1330e13264be43390420a16543aad61214ac175dec

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T23:44:53.335588Z digest=sha256:7f714468a88af85a1d9c8d8603e72816f9db91362a1a9af8dee91edd4b3f1d3f

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T23:44:53.341931Z digest=sha256:da92d236f7b5b2e2ad7dd532c9cd4e489b9e55dbdcf8d3e5da321039e8730beb

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T23:44:53.347238Z digest=sha256:17a8dbb7829d22fe424d50deb4788e135bb8e646a6880ca305fcf8f9593d855d

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T23:44:53.353019Z digest=sha256:06cef1ec24eeabc1bd789cd002f33cc662c8cbda294d63e78a554dae1d427025

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T23:44:53.357790Z digest=sha256:99b7cce443ba9bd6d1c4a398b9d895d22f0f26bab1cbcf318b0f5cd9938a1161

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=sha256:61b3b061ac3bbd84def1f14bf454943595204b98c70fe54da54de80bdb030049

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T23:44:53.368094Z digest=sha256:b4a6c20a33deeaa6ce41e064ff4ac06d7f0fe93096148ddb374811ceec12a756

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=sha256:541d0ea1f44eea21aa522888f9fa91d3184b86d1cb3019b4e752f53b4ee2f911

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:a396235c1a8e6be1a9edb6de1dddc531b6c171ed27855930db08b90ce493b348

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=sha256:0522b748ec151daaf530336568f4b12ed027346a033928c54771fcbf52697e45

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T23:44:53.390174Z digest=sha256:6f4a1a4e04b845563284e31143c986eafb229685f4f64f1acb2d80639ab50696

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=sha256:0c558c40111fa0294d41b2b14c494f89717ca717fc06e80124dffcffd4befcc5

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=sha256:7bf3f82f7f2f9dd002c547e7093e10048bd87e80917ea48f9b7bc8c33f6a6425

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T23:44:53.405714Z digest=sha256:09891b46b055a2867e71eac4ecea13c4ed7dc1a4d04f27f2d5ea0f1897b45a14

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=sha256:5d414349b9078313314b9cf2d0c3fd21843f2e598628a881210796a871562341

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=sha256:0e74efa9897769b882646184ebb40a52bfa05020108493227d962bb9fe53b0f6

Pith citing papers

No inbound Pith citation observations are available.