Paper Citation Record · LEDGER

Geometric Mean Improves Loss For Few-Shot Learning

As of 15 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2501.14593.

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

pith.paper-citation-record.v1
2501.14593 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:01:41.035394Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:01:40.772715Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T15:01:41.213473Z

Reference resolution

29 of 29 outbound references displayed

verified exact1
verified fuzzy24
unresolved4
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c06b49d6-d5e2-42e4-9089-e49416a8983e · outbound

This paper cites Geometric Mean Improves Loss For Few-Shot Learning.

Geometric Mean Improves Loss For Few-Shot Learning Geometric Mean Improves Loss For Few-Shot Learning

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:01:41.224478Z

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Observation 7e51dd94-7b20-4afe-b1ab-d564c1e7ba10 · outbound

This paper cites Notations.

Geometric Mean Improves Loss For Few-Shot Learning Notations

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:01:41.964089Z

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Observation 600d69cf-1530-466d-9f48-5c497e08ed67 · outbound

This paper cites miniImageNet CIFAR-FS Fig.

Geometric Mean Improves Loss For Few-Shot Learning miniImageNet CIFAR-FS Fig

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:01:41.939610Z

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Observation 2e816f68-2ac5-45e6-9469-c696333a63f8 · outbound

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Geometric Mean Improves Loss For Few-Shot Learning Unresolved cited work

Reference 4

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Observation 1cb49ee6-a763-4834-bc06-ba3335f24040 · outbound

This paper cites Generalizing from a few examples: A sur- vey on few-shot learning,.

Geometric Mean Improves Loss For Few-Shot Learning Generalizing from a few examples: A sur- vey on few-shot learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:01:41.890940Z

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Observation 4929abef-601e-47bf-a549-6967a18662db · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks,.

Geometric Mean Improves Loss For Few-Shot Learning Model-agnostic meta-learning for fast adaptation of deep networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:01:41.863703Z

Source-reported events for the cited work

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Observation 7ab2c538-4796-4fc9-a4d3-4335f0beede3 · outbound

This paper cites On First-Order Meta-Learning Algorithms.

Geometric Mean Improves Loss For Few-Shot Learning On First-Order Meta-Learning Algorithms

Reference 7

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Observation 7c395ed9-9241-4c75-9147-fca04348b44a · outbound

This paper cites Siamese neural networks for one-shot image recognition,.

Geometric Mean Improves Loss For Few-Shot Learning Siamese neural networks for one-shot image recognition,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:01:41.825414Z

Source-reported events for the cited work

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Observation 1b74614b-a4e4-4fbe-b015-ac9b9976879f · outbound

This paper cites Pro- totypical networks for few-shot learning,.

Geometric Mean Improves Loss For Few-Shot Learning Pro- totypical networks for few-shot learning,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 19c326cd-23c8-4f07-912a-16e33520a2d9 · outbound

This paper cites On episodes, pro- totypical networks, and few-shot learning,.

Geometric Mean Improves Loss For Few-Shot Learning On episodes, pro- totypical networks, and few-shot learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:01:41.752819Z

Source-reported events for the cited work

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Observation 3a2ab994-5020-4d00-b88b-df5311f0def6 · outbound

This paper cites Matching net- works for one shot learning,.

Geometric Mean Improves Loss For Few-Shot Learning Matching net- works for one shot learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:01:41.706218Z

Source-reported events for the cited work

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Observation ced7cb77-1087-43c9-bf43-cd5fdcbfdc14 · outbound

This paper cites A discriminative feature learning approach for deep face recognition,.

Geometric Mean Improves Loss For Few-Shot Learning A discriminative feature learning approach for deep face recognition,

Reference 12

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Observation 63a5c611-e132-4bfd-8fe7-1b51e32ad806 · outbound

This paper cites Neighbourhood components analy- sis,.

Geometric Mean Improves Loss For Few-Shot Learning Neighbourhood components analy- sis,

Reference 13

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Observation 82f7f3f1-56e1-4707-9315-a2a7d03cde89 · outbound

This paper cites Focal loss for dense object detec- tion,.

Geometric Mean Improves Loss For Few-Shot Learning Focal loss for dense object detec- tion,

Reference 14

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Observation c4b17138-0882-4062-aa0f-d8292295e784 · outbound

This paper cites Mean shift: A robust approach toward feature space analysis,.

Geometric Mean Improves Loss For Few-Shot Learning Mean shift: A robust approach toward feature space analysis,

Reference 15

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Observation d349b23c-aebc-4bc6-8a23-87fee19640a3 · outbound

This paper cites Duda, Peter E.

Geometric Mean Improves Loss For Few-Shot Learning Duda, Peter E

Reference 16

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Observation 4fbed370-82a2-413e-b75d-2187ca2abef5 · outbound

This paper cites Multi-label classification: An overview,.

Geometric Mean Improves Loss For Few-Shot Learning Multi-label classification: An overview,

Reference 17

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Source-reported events for the cited work

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Observation a76cb2f6-d7fc-44dd-8446-eebd83d920b1 · outbound

This paper cites Asymmetric loss for multi-label classification,.

Geometric Mean Improves Loss For Few-Shot Learning Asymmetric loss for multi-label classification,

Reference 18

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Source-reported events for the cited work

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Observation 82ab321d-f9a3-42ee-84b1-06a44fe0dfaf · outbound

This paper cites Revisiting local descriptor based image-to-class measure for few-shot learning,.

Geometric Mean Improves Loss For Few-Shot Learning Revisiting local descriptor based image-to-class measure for few-shot learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:01:41.458102Z

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Observation 02f05d88-51a8-4942-833c-e381ba612f2c · outbound

This paper cites Cross attention network for few- shot classification,.

Geometric Mean Improves Loss For Few-Shot Learning Cross attention network for few- shot classification,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:01:41.432864Z

Source-reported events for the cited work

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Observation f6d96436-c882-4d63-a312-0e2d6ac4080f · outbound

This paper cites Meta-baseline: Exploring simple meta-learning for few-shot learning,.

Geometric Mean Improves Loss For Few-Shot Learning Meta-baseline: Exploring simple meta-learning for few-shot learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:01:41.403664Z

Source-reported events for the cited work

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Observation 416802d1-e36c-4471-b933-2169ebf4e1cb · outbound

This paper cites Rethinking few-shot im- age classification: a good embedding is all you need?,.

Geometric Mean Improves Loss For Few-Shot Learning Rethinking few-shot im- age classification: a good embedding is all you need?,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:01:41.382059Z

Source-reported events for the cited work

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Observation c370a551-9c40-4d19-8d7c-af91e2780282 · outbound

This paper cites Meta-learning with differentiable closed-form solvers,.

Geometric Mean Improves Loss For Few-Shot Learning Meta-learning with differentiable closed-form solvers,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:01:41.356157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 43b055b5-ce0c-49e5-b166-8cbb8cc45a56 · outbound

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

Geometric Mean Improves Loss For Few-Shot Learning Learning multiple layers of features from tiny images,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:01:41.331998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b2c99422-1119-4d1c-a25c-94c2ae1cb380 · outbound

This paper cites Optimization as a model for few-shot learning,.

Geometric Mean Improves Loss For Few-Shot Learning Optimization as a model for few-shot learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:01:41.303046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 74ba9f59-1615-49f2-846d-13bf227a03f7 · outbound

This paper cites Meta-learning for semi-supervised few-shot classification,.

Geometric Mean Improves Loss For Few-Shot Learning Meta-learning for semi-supervised few-shot classification,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:01:41.275390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5c4f4bdc-cf49-4b8c-92ed-33d3bfc33da9 · outbound

This paper cites SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning.

Geometric Mean Improves Loss For Few-Shot Learning SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning

Reference 27

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Observation aac4e822-5a86-4319-8788-58f74aa9fc38 · outbound

This paper cites Meta-Learning with Latent Embedding Optimization.

Geometric Mean Improves Loss For Few-Shot Learning Meta-Learning with Latent Embedding Optimization

Reference 28

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Observation 456ffa19-49c2-4c81-a798-80f167c8dc23 · outbound

This paper cites Meta-learning with differ- entiable convex optimization,.

Geometric Mean Improves Loss For Few-Shot Learning Meta-learning with differ- entiable convex optimization,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:01:41.251200Z

Source-reported events for the cited work

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Pith citing papers

Observation c06b49d6-d5e2-42e4-9089-e49416a8983e · inbound