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Paper Citation Record · LEDGER

Adaptive Hebbian Memory Routing in Vision Transformers for Few-Shot Learning

As of 19 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2606.24756.

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

pith.paper-citation-record.v1
2606.24756 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T00:33:02.021050Z

measured 23 of 23 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

23 of 23 outbound references displayed

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External citation measurements

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Outbound references

Observation f3cddf38-ed84-4ea2-a660-e56bb9df90ef · outbound

This paper cites Prototypical networks for few- shot learning,.

Adaptive Hebbian Memory Routing in Vision Transformers for Few-Shot Learning Prototypical networks for few- shot learning,

Reference 1

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Observation ca842588-6803-4434-b1de-3a6c02d0d1b4 · outbound

This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale,.

Adaptive Hebbian Memory Routing in Vision Transformers for Few-Shot Learning An image is worth 16x16 words: Trans- formers for image recognition at scale,

Reference 2

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Observation 761e6943-1102-4231-aaf6-a74926c576cc · outbound

This paper cites Training data-efficient image transformers and distillation through attention,.

Adaptive Hebbian Memory Routing in Vision Transformers for Few-Shot Learning Training data-efficient image transformers and distillation through attention,

Reference 3

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Observation fbbef2bd-51ef-403a-9332-ea30d40c204e · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Adaptive Hebbian Memory Routing in Vision Transformers for Few-Shot Learning Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 4

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Observation 985e6296-3a57-432e-9df7-0a0cdf3dfd0e · outbound

This paper cites Using fast weights to deblur old memories,.

Adaptive Hebbian Memory Routing in Vision Transformers for Few-Shot Learning Using fast weights to deblur old memories,

Reference 5

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Observation c2c81179-3d0f-4755-a64d-1a59b3feda44 · outbound

This paper cites Using fast weights to attend to the recent past,.

Adaptive Hebbian Memory Routing in Vision Transformers for Few-Shot Learning Using fast weights to attend to the recent past,

Reference 6

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Observation e79b50a2-5869-4b21-8d6e-fb6e08dfd1ee · outbound

This paper cites an unresolved cited work.

Adaptive Hebbian Memory Routing in Vision Transformers for Few-Shot Learning Unresolved cited work

Reference 7

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Observation d29056aa-2a06-4c9b-8b36-56e61a12cc90 · outbound

This paper cites Metalearning with Hebbian Fast Weights.

Adaptive Hebbian Memory Routing in Vision Transformers for Few-Shot Learning Metalearning with Hebbian Fast Weights

Reference 8

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Observation f12fbd66-2a0e-4a10-a268-a1d83c2de8b7 · outbound

This paper cites Linear transformers are secretly fast weight programmers,.

Adaptive Hebbian Memory Routing in Vision Transformers for Few-Shot Learning Linear transformers are secretly fast weight programmers,

Reference 9

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Observation e316e626-ccf2-4710-af0a-d98722f9b525 · outbound

This paper cites Where to bind mat- ters: Hebbian fast weights in vision transformers for few-shot character recognition,.

Adaptive Hebbian Memory Routing in Vision Transformers for Few-Shot Learning Where to bind mat- ters: Hebbian fast weights in vision transformers for few-shot character recognition,

Reference 10

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Observation 0d5b1dbd-79fa-4253-96c2-2ecb998453a4 · outbound

This paper cites Matching networks for one shot learning,.

Adaptive Hebbian Memory Routing in Vision Transformers for Few-Shot Learning Matching networks for one shot learning,

Reference 11

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Observation 5bcfcd5e-c3cf-4161-b20b-a82546bbdbcb · outbound

This paper cites Learning to compare: Relation network for few-shot learning,.

Adaptive Hebbian Memory Routing in Vision Transformers for Few-Shot Learning Learning to compare: Relation network for few-shot learning,

Reference 12

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Observation 91465856-d15f-45f3-b483-f582626333d2 · outbound

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

Adaptive Hebbian Memory Routing in Vision Transformers for Few-Shot Learning Model-agnostic meta-learning for fast adaptation of deep networks,

Reference 13

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Observation e68d8c5f-7961-4149-9295-20941d52de7d · outbound

This paper cites Few-shot learning via embedding adaptation with set-to-set functions,.

Adaptive Hebbian Memory Routing in Vision Transformers for Few-Shot Learning Few-shot learning via embedding adaptation with set-to-set functions,

Reference 14

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Observation 16754d5f-51f0-42c6-8779-28417a9c4429 · outbound

This paper cites Differentiable plasticity: Training plastic neural networks with backpropagation,.

Adaptive Hebbian Memory Routing in Vision Transformers for Few-Shot Learning Differentiable plasticity: Training plastic neural networks with backpropagation,

Reference 15

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Observation bf6e6944-eb6b-4d83-93ca-6f57fcce00b0 · outbound

This paper cites Conditional Computation in Neural Networks for faster models.

Adaptive Hebbian Memory Routing in Vision Transformers for Few-Shot Learning Conditional Computation in Neural Networks for faster models

Reference 16

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Observation 34dd3844-338b-480a-811a-1b47e65b47f1 · outbound

This paper cites Adaptive neural net- works for efficient inference,.

Adaptive Hebbian Memory Routing in Vision Transformers for Few-Shot Learning Adaptive neural net- works for efficient inference,

Reference 17

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Observation 39e08fd9-dad9-45c2-a336-cc143412976e · outbound

This paper cites Blockdrop: Dynamic inference paths in residual networks,.

Adaptive Hebbian Memory Routing in Vision Transformers for Few-Shot Learning Blockdrop: Dynamic inference paths in residual networks,

Reference 18

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Observation d8d37d80-05a7-423c-9344-d81934df7d3e · outbound

This paper cites Dynamicvit: Efficient vision transformers with dynamic token sparsification,.

Adaptive Hebbian Memory Routing in Vision Transformers for Few-Shot Learning Dynamicvit: Efficient vision transformers with dynamic token sparsification,

Reference 19

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Observation 977c67ba-07cc-461d-8f52-f4e98d373357 · outbound

This paper cites Outrageously large neural networks: The sparsely-gated mixture-of-experts layer,.

Adaptive Hebbian Memory Routing in Vision Transformers for Few-Shot Learning Outrageously large neural networks: The sparsely-gated mixture-of-experts layer,

Reference 20

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Observation f16e071e-0e0b-407f-b1ec-be1ac65211c6 · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity,.

Adaptive Hebbian Memory Routing in Vision Transformers for Few-Shot Learning Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity,

Reference 21

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Observation 8fe5af90-925a-4908-a78e-b2c0fc508d78 · outbound

This paper cites Mixture-of-experts with expert choice routing,.

Adaptive Hebbian Memory Routing in Vision Transformers for Few-Shot Learning Mixture-of-experts with expert choice routing,

Reference 22

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Observation 63e2aa8d-5ff4-42ae-85dd-9368dd2e7394 · outbound

This paper cites Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning.

Adaptive Hebbian Memory Routing in Vision Transformers for Few-Shot Learning Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning

Reference 23

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