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Paper Citation Record · LEDGER

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities

As of 8 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.16888.

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

pith.paper-citation-record.v1
2607.16888 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

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measured 32 of 32 standing notices

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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

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

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

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Outbound references

Observation 27b6b516-886c-473b-8949-accba08f011b · outbound

This paper cites Continual lifelong learning with neural networks: A review,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities Continual lifelong learning with neural networks: A review,

Reference 1

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Observation b1121b16-5dc4-412e-9a3f-6407048236cb · outbound

This paper cites Domain adaptation for medical image analysis: A survey,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities Domain adaptation for medical image analysis: A survey,

Reference 2

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Observation e84194ae-f169-4955-bc6d-65ca25d0e4c8 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities Overcoming catastrophic forgetting in neural networks,

Reference 3

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Observation d4d5917e-cdd1-48ab-ad6a-51cfef84d14c · outbound

This paper cites Continual learning through synap- tic intelligence,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities Continual learning through synap- tic intelligence,

Reference 4

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Observation 7777c1d6-6c1e-49a9-8f99-91cdca96e024 · outbound

This paper cites Catastrophic forgetting in connectionist networks,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities Catastrophic forgetting in connectionist networks,

Reference 5

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Observation 5752dd76-d45f-4c87-b55b-c12124b2953d · outbound

This paper cites Parameter-efficient fine-tuning for medical image analysis: The missed opportunity,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities Parameter-efficient fine-tuning for medical image analysis: The missed opportunity,

Reference 7

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Observation 6c358943-58d3-4f59-abd9-a682fc3be1ed · outbound

This paper cites Parameter-efficient transfer learning for nlp,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities Parameter-efficient transfer learning for nlp,

Reference 8

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Observation 55a339e0-4851-45e6-8ea3-56ad7bd4bfa6 · outbound

This paper cites Adapterfusion: Non-destructive task composi- tion for transfer learning,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities Adapterfusion: Non-destructive task composi- tion for transfer learning,

Reference 9

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Observation 23caf947-d93d-48f9-b0d6-03d58f7ceb15 · outbound

This paper cites When MOE meets LLMs: Parameter efficient fine-tuning for multi- task medical applications,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities When MOE meets LLMs: Parameter efficient fine-tuning for multi- task medical applications,

Reference 10

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Observation d3f239ab-69f7-465f-8271-41906b875be6 · outbound

This paper cites TT-LoRA MoE: Unifying parameter-efficient fine-tuning and sparse mixture-of-experts,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities TT-LoRA MoE: Unifying parameter-efficient fine-tuning and sparse mixture-of-experts,

Reference 11

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Observation 81b6cca4-8269-4e16-8beb-3c87eb052c93 · outbound

This paper cites VeRA: Vector- based random matrix adaptation,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities VeRA: Vector- based random matrix adaptation,

Reference 12

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Observation 67043ca2-8e91-4a32-a852-add55b511af2 · outbound

This paper cites Tied-LoRA: Enhanc- ing parameter efficiency of LoRA with weight tying,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities Tied-LoRA: Enhanc- ing parameter efficiency of LoRA with weight tying,

Reference 13

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Observation 5856fe5a-7641-4a0e-b35e-f4071705426e · outbound

This paper cites Adalora: Adaptive budget allocation for parameter-efficient fine-tuning,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities Adalora: Adaptive budget allocation for parameter-efficient fine-tuning,

Reference 14

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Observation f1fb0fa7-19d2-4697-b967-130e9fda67c4 · outbound

This paper cites Qlora: Efficient finetuning of quantized llms,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities Qlora: Efficient finetuning of quantized llms,

Reference 15

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Observation 78e4e9ed-10e8-4fd7-892c-c45fd048e831 · outbound

This paper cites Layer-wise low-rank adaptation for neural networks,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities Layer-wise low-rank adaptation for neural networks,

Reference 16

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Observation f24e332b-772d-4d1c-991d-e3dc88a76004 · outbound

This paper cites Low-rank adaptation of pre-trained large vision models for improved lung nodule malignancy classifica- tion,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities Low-rank adaptation of pre-trained large vision models for improved lung nodule malignancy classifica- tion,

Reference 17

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Observation 9ea688e6-c592-447c-afcc-fffb4aa5d514 · outbound

This paper cites Mixture of LoRA Experts.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities Mixture of LoRA Experts

Reference 18

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Observation 3780f759-072f-44a1-9bbb-2e7e2fe22624 · outbound

This paper cites Learning without forgetting,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities Learning without forgetting,

Reference 19

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Observation cbf48c7e-51ab-4a9c-814d-f36308f35dfe · outbound

This paper cites Memory aware synapses,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities Memory aware synapses,

Reference 20

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Observation ff2c2c20-c794-4ab0-895e-279d44e66402 · outbound

This paper cites Progressive neural networks,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities Progressive neural networks,

Reference 21

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Observation 6c4f1ed3-8a23-456c-93b9-e614925d028f · outbound

This paper cites Packnet: Adding multiple tasks to a single network by iterative pruning,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities Packnet: Adding multiple tasks to a single network by iterative pruning,

Reference 22

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Observation fe7da600-3f8a-42c7-aa9f-2ef3d6eaea7b · outbound

This paper cites Simple, fast, and accurate neural machine translation,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities Simple, fast, and accurate neural machine translation,

Reference 23

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Observation 2e31e09b-71a7-4e0f-8001-e70a55a61f44 · outbound

This paper cites Universal adapters: Efficient multi-task transfer learning,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities Universal adapters: Efficient multi-task transfer learning,

Reference 24

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Observation 36406e52-06fd-4de2-b095-3f4351ee4bfe · outbound

This paper cites Adapterfusion: Non-destructive task composition for transfer learning,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities Adapterfusion: Non-destructive task composition for transfer learning,

Reference 25

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Observation 17cd073d-0216-4e6f-9f9a-837d477a2bf3 · outbound

This paper cites Boosting continual learning of vision-language models via mixture- of-experts adapters,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities Boosting continual learning of vision-language models via mixture- of-experts adapters,

Reference 26

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Observation ed2cf55f-cfd5-4e28-be04-ace403e8ed5f · outbound

This paper cites LoraHub: Efficient cross-task generalization via dynamic LoRA composition,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities LoraHub: Efficient cross-task generalization via dynamic LoRA composition,

Reference 27

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Observation 60d21ff7-2e21-44e6-a9c9-32e5a1f844d1 · outbound

This paper cites Ct kidney dataset: Normal-cyst-tumor and stone,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities Ct kidney dataset: Normal-cyst-tumor and stone,

Reference 28

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Observation cfb5b444-981c-4a7e-a58c-2f5f4f116519 · outbound

This paper cites Brain tumor mri dataset,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities Brain tumor mri dataset,

Reference 29

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Observation 3bb13ebd-3ff9-4405-b53f-233180cb7798 · outbound

This paper cites Chest x-ray (Pneumonia, COVID-19, Tuberculosis),.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities Chest x-ray (Pneumonia, COVID-19, Tuberculosis),

Reference 30

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Observation 942df91b-2ec1-4973-a8a2-464167c56acc · outbound

This paper cites A baseline for detecting misclassified and out-of-distribution examples in neural networks,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities A baseline for detecting misclassified and out-of-distribution examples in neural networks,

Reference 31

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Observation 3a9f5e90-1fa9-4d28-9c74-a6253a43fc9a · outbound

This paper cites Energy-based out-of- distribution detection,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities Energy-based out-of- distribution detection,

Reference 32

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Observation 699405f5-3a1a-4964-8d14-53e8a6e32a6e · outbound

This paper cites A simple unified framework for detecting out-of-distribution samples and adversarial attacks,.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities A simple unified framework for detecting out-of-distribution samples and adversarial attacks,

Reference 33

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