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Paper Citation Record · LEDGER

Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility

As of 23 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2501.13479.

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

pith.paper-citation-record.v1
2501.13479 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:57:23.602078Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

20 of 20 outbound references displayed

  • verified exact2
  • verified fuzzy1
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d0c44724-151b-4f33-b99d-7252e749f644 · outbound

This paper cites T., & Ni, L.

Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility T., & Ni, L

Reference 1

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no resolver link, observed 2026-08-10T15:57:23.497054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:57:23.497054Z digest=sha256:90d9e63126b4538cc90658f789a9c70ada3eb25dda725abf032706b135ba4f44

Observation 9c4ecece-195e-4cbe-811e-69e248a281ab · outbound

This paper cites Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks.

Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Reference 2

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no resolver link, observed 2026-08-10T15:57:23.502612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:57:23.502612Z digest=sha256:331b236120ee001e6d2b6d8da211e1da7426b49d66181420ed61f555c5628f7d

Observation d8e3c1d1-2dd8-4605-9881-e6c216e85837 · outbound

This paper cites Domain-Adversarial Training of Neural Networks.

Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility Domain-Adversarial Training of Neural Networks

Reference 3

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no resolver link, observed 2026-08-10T15:57:23.507901Z

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Unavailable: canonical work link unavailable.

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Observation d3b7d14c-7008-4da5-a8e5-576a45b59194 · outbound

This paper cites an unresolved cited work.

Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility Unresolved cited work

Reference 4

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unresolved
raw_fallback, observed 2026-08-10T15:57:24.062393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 36145215-86ff-4c90-b452-b7f64ebe6a0c · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility mixup: Beyond Empirical Risk Minimization

Reference 5

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no resolver link, observed 2026-08-10T15:57:23.518212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:57:23.518212Z digest=sha256:e6c6f270d8f9fdae932c92a2df0ae3f8d6fb91db47bf7b5ed6a34b8e96746246

Observation eea1214b-8539-4706-b6b9-875ab2f97daa · outbound

This paper cites Attention Is All You Need.

Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility Attention Is All You Need

Reference 6

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no resolver link, observed 2026-08-10T15:57:23.523774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:57:23.523774Z digest=sha256:b51890beac3ac69ef1c5a7db2f6212f5edec6d0e904992a73235b603d0f08266

Observation b2632888-b794-4cf1-8230-6e96f29a763e · outbound

This paper cites Prototypical Networks for Few-shot Learning.

Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility Prototypical Networks for Few-shot Learning

Reference 7

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no resolver link, observed 2026-08-10T15:57:23.530082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:57:23.530082Z digest=sha256:d604efd56b311019777094630a90f230f6ac7ba2418003812aa29cbe9dc89e7f

Observation 04fde099-0c6d-447c-aef9-1ae3ba2d4c20 · outbound

This paper cites MixMatch: A Holistic Approach to Semi-Supervised Learning.

Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility MixMatch: A Holistic Approach to Semi-Supervised Learning

Reference 8

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unresolved
no resolver link, observed 2026-08-10T15:57:23.535784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:57:23.535784Z digest=sha256:aacebca4e7a75cdedeb32e16c2604518c200bfdfde04f4218f0e4b9ea9382d64

Observation 8ff8f3d0-9141-4d83-a5e5-be717e122107 · outbound

This paper cites "Why Should I Trust You?": Explaining the Predictions of Any Classifier.

Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility "Why Should I Trust You?": Explaining the Predictions of Any Classifier

Reference 9

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no resolver link, observed 2026-08-10T15:57:23.541026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:57:23.541026Z digest=sha256:cb6b9924f16ec2bddd872c442e1801bc928acd7b80738702edae2c8826c1c0b4

Observation 685868b5-6deb-44fc-bf7a-f9a4c8fcfc63 · outbound

This paper cites L., Zhu, K., Yang, B., Mehta, H.,.

Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility L., Zhu, K., Yang, B., Mehta, H.,

Reference 10

Resolution
verified exact
doi, observed 2026-08-10T15:57:23.646773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 2f0cc18b-f83e-457f-9673-a3575e22d999 · outbound

This paper cites One-Shot Visual Imitation Learning via Meta-Learning.

Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility One-Shot Visual Imitation Learning via Meta-Learning

Reference 11

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Observation f20c110d-a1ab-4424-8fe9-29e1e3713193 · outbound

This paper cites Tackling Climate Change with Machine Learning.

Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility Tackling Climate Change with Machine Learning

Reference 12

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unresolved
no resolver link, observed 2026-08-10T15:57:23.556650Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:57:23.556650Z digest=sha256:a199cc89cc62b6898ec633e90f78403c9c30d6b475581f20023729ff537db899

Observation 0d21fd61-4a95-4741-9999-4183f589d358 · outbound

This paper cites an unresolved cited work.

Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:57:24.045254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:57:23.562177Z digest=sha256:74dbdc4fc25e76d47ca5fcaa83ed3a09d9bd7b0fe95a5ce31b916fb188a0dcf2

Observation 143a31ec-4e04-4afb-9f46-3fec76458c41 · outbound

This paper cites Language Models are Few-Shot Learners.

Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility Language Models are Few-Shot Learners

Reference 14

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no resolver link, observed 2026-08-10T15:57:23.567371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:57:23.567371Z digest=sha256:1763c79215a37113f8fc5a889a95cd7508f466afd5e49f4f38a9ef83faa61c25

Observation 0a91af03-44d2-44ea-b073-329cd779e277 · outbound

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

Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility On First-Order Meta-Learning Algorithms

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:57:23.572700Z digest=sha256:17fdd5a7544c887bdda9d635b9aafe41e6443d40968e22beeadb690e8fb8ceed

Observation f543cbb9-8765-4033-a105-6924701708ee · outbound

This paper cites Learning to Compare: Relation Network for Few-Shot Learning.

Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility Learning to Compare: Relation Network for Few-Shot Learning

Reference 16

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no resolver link, observed 2026-08-10T15:57:23.578688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 445eea1e-5a4b-426e-a948-4cfc106445f0 · outbound

This paper cites Data Augmentation Generative Adversarial Networks.

Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility Data Augmentation Generative Adversarial Networks

Reference 17

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no resolver link, observed 2026-08-10T15:57:23.584533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cd705632-d131-463b-a525-d89db5f5f1d7 · outbound

This paper cites an unresolved cited work.

Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility Unresolved cited work

Reference 18

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raw_fallback, observed 2026-08-10T15:57:24.025021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:57:23.590004Z digest=sha256:2fecfd62007eff9ee8c8bbf853743c0400d0def0f57af9b1b31471384f3504fe

Observation d6541a17-a2d1-4c98-95fa-7671c08b31c8 · outbound

This paper cites & Bengio, Y.

Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility & Bengio, Y

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-10T15:57:23.999190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T15:57:23.595175Z digest=sha256:882d13c85f8773e4e0d6390a1592f1af11e0ab79aebc150e121d81111114ea6f

Observation 88e37e0e-bad7-4bf5-9da3-0fa0ff7def21 · outbound

This paper cites Cascading Convolutional Temporal Colour Constancy.

Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility Cascading Convolutional Temporal Colour Constancy

Reference 20

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local_arxiv, observed 2026-08-10T15:57:23.694145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Pith citing papers

No inbound Pith citation observations are available.