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Paper Citation Record · LEDGER

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models

As of 8 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2608.05808.

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

pith.paper-citation-record.v1
2608.05808 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

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measured 58 of 58 standing notices

One-hop event checks from named stored sources.

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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

58 of 58 outbound references displayed

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External citation measurements

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Outbound references

Observation eb4ac0b7-f116-4461-bd82-0f7f21c31a29 · outbound

This paper cites CCSI: Continual Class-Specific Impression for data-free class incremental learning.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models CCSI: Continual Class-Specific Impression for data-free class incremental learning

Reference 1

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Observation ed097942-f7b7-466c-8b57-955be1499f90 · outbound

This paper cites Biaspruner: Mitigating bias transfer in continual learning for fair medical image analysis.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Biaspruner: Mitigating bias transfer in continual learning for fair medical image analysis

Reference 2

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Observation 3cf5b882-4436-40fc-8cdb-a801f8e77270 · outbound

This paper cites IEEE Transactions on Medical Imaging 43, 3767–3779.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models IEEE Transactions on Medical Imaging 43, 3767–3779

Reference 3

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Observation c3019b71-ac6d-4ccd-b6e0-74a743213e00 · outbound

This paper cites Making the Most of Text Semantics to Improve Biomedical Vision–Language Processing, in: European Conference on Computer Vision, Springer.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Making the Most of Text Semantics to Improve Biomedical Vision–Language Processing, in: European Conference on Computer Vision, Springer

Reference 4

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Observation 7ed5575e-6b58-4222-811a-cdd66cddc2cc · outbound

This paper cites MS- CXR: Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models MS- CXR: Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing

Reference 5

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Observation f08f6757-f9d4-4652-8f9c-4326b641fcd9 · outbound

This paper cites Medical Image Analysis 114, 104235.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Medical Image Analysis 114, 104235

Reference 6

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Observation 9c950a4d-432d-43ba-ba81-f18c75cf85c5 · outbound

This paper cites New Insights on Reducing Abrupt Representation Change in Online Continual Learning.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models New Insights on Reducing Abrupt Representation Change in Online Continual Learning

Reference 7

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Observation cad37805-8d27-45e1-88cb-7068f5fbf6c0 · outbound

This paper cites Toward Bidirectional Adaptability for Few-Shot Class-Incremental LearningWithForward-BackwardKnowledgeTransfer.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Toward Bidirectional Adaptability for Few-Shot Class-Incremental LearningWithForward-BackwardKnowledgeTransfer

Reference 8

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Observation c8360485-a001-4b4e-ac0d-5e299f4ea484 · outbound

This paper cites MEDITRON-70B: Scaling Medical Pretraining for Large Language Models.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

Reference 9

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This paper cites Distribution-Level Memory Recall for ContinualLearning:PreservingKnowledgeandAvoidingConfusion.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Distribution-Level Memory Recall for ContinualLearning:PreservingKnowledgeandAvoidingConfusion

Reference 10

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Observation 95c97dfd-5d50-4a5f-ba49-53fac701a0ee · outbound

This paper cites Trends in Cognitive Sciences 21, 618–631.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Trends in Cognitive Sciences 21, 618–631

Reference 11

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Unresolved cited work

Reference 12

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This paper cites Deep residual learning for image recognition, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Deep residual learning for image recognition, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 13

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This paper cites scBIT: Integrating Single-cell Transcriptomic Data into fMRI-based Prediction for Alzheimer’s Disease Diagnosis.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models scBIT: Integrating Single-cell Transcriptomic Data into fMRI-based Prediction for Alzheimer’s Disease Diagnosis

Reference 14

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This paper cites Overcoming catastrophic forgetting in neural net- works.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Overcoming catastrophic forgetting in neural net- works

Reference 15

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This paper cites What learning systemsdointelligentagentsneed?Complementarylearningsystems theory updated.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models What learning systemsdointelligentagentsneed?Complementarylearningsystems theory updated

Reference 16

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Observation ddbe93d4-0a4e-49da-8713-fa7f7d619164 · outbound

This paper cites Continual learning in medical image analysis: A comprehensive review of recent advancements and future prospects.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Continual learning in medical image analysis: A comprehensive review of recent advancements and future prospects

Reference 17

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains

Reference 18

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This paper cites Building machines that learn and think like people.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Building machines that learn and think like people

Reference 19

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This paper cites Turning the Tables: Enabling Backward Transfer via Causal-Aware LoRAinContinualLearning,in:TheThirty-ninthAnnualConference on Neural Information Processing Systems.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Turning the Tables: Enabling Backward Transfer via Causal-Aware LoRAinContinualLearning,in:TheThirty-ninthAnnualConference on Neural Information Processing Systems

Reference 20

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models ProgressiveDistillationforIncrementalLearninginCornealConfocal Microscopy Segmentation

Reference 21

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Ultrasound report generation with cross-modality feature alignmentviaunsupervisedguidance

Reference 22

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Learning without forgetting

Reference 23

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Beyond not-forgetting: Continual learning with backward knowledge transfer

Reference 24

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory

Reference 25

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Catastrophic interference in con- nectionistnetworks:Thesequentiallearningproblem,in:Psychology of Learning and Motivation

Reference 26

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Language as a cognitive tool

Reference 27

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models CPSR- CLIP: Conditional Prompt-Induced Style Reconstruction for Zero- Shot Domain Adaptation

Reference 28

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Learning Transferable Visual Models From Natural Language Supervision, in: International Conference on Machine Learning, PMLR

Reference 29

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Unresolved cited work

Reference 30

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models iCaRL: Incremental Classifier and Representation Learning, in: Proceedings oftheIEEEConferenceonComputerVisionandPatternRecognition, pp

Reference 31

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Grad-CAM: Visual Explanations from Deep Net- works via Gradient-based Localization, in: Proceedings of the IEEE International Conference on Computer Vision, pp

Reference 32

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STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Large-scale and Fine-grained Vision-Language Pre-training for Enhanced CT Image Understand- ing, in: International Conference on Learning Representations, pp

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-07T23:12:19.239549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:12:18.213099Z digest=sha256:7e77a377d57d2959a1632bd72f479c88f2c1cd94fc2b03658d8ba3bc7b389383

Observation 67bcefa8-8e9c-47cc-b46e-1c9aa822d41b · outbound

This paper cites Artificial life 11, 13–29.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Artificial life 11, 13–29

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:12:19.225006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:12:18.217446Z digest=sha256:9e136c13edf3426c7707ae4ec2616e3d8ee25a4c0641236753ae6742605b34f0

Observation 84c3131b-1ed5-4f42-83be-7065cf9e40b6 · outbound

This paper cites Qwen2.5: A Party of Foundation Models.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Qwen2.5: A Party of Foundation Models

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:12:19.211849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:12:18.222261Z digest=sha256:27a0f6c43fe2c99c264adcff0e7271a11bf41f7b4edb291645b13cc32534745d

Observation 4b17a8ef-9c30-4dea-b285-781dc9e46535 · outbound

This paper cites Multi-Scale Feature Alignment for Continual Learning of Unlabeled Domains.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Multi-Scale Feature Alignment for Continual Learning of Unlabeled Domains

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:12:19.197350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:12:18.225886Z digest=sha256:964a8b8c53b97cf98dc7ecae49474b7559bb6e846b327f5abbf701c3a5492750

Observation d2976029-c999-4dca-ab0f-c0b6fdd2e35f · outbound

This paper cites In- ternational Competition on Ocular Disease Intelligent Recognition.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models In- ternational Competition on Ocular Disease Intelligent Recognition

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:12:19.183546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:12:18.229981Z digest=sha256:eac5b35fa6a2f4f374b69fed3d9dfcc6cdbaffd1e8a067452603fe81dfb824ea

Observation 9a3dcdc7-6c8f-4eca-9534-5723a3eae87b · outbound

This paper cites an unresolved cited work.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-07T23:12:19.170388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:12:18.234485Z digest=sha256:7f4cc57e99f7aac0215c3e7a9174758d9c9775a574bca8a321cc95be2cd06dc8

Observation 5e1f70b5-fb55-4fab-94ab-ff37ca2e38d2 · outbound

This paper cites Beef: Bi-compatible class-incremental learning via energy-based expansion and fusion, in: The eleventh International Conference on Learning Representations.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Beef: Bi-compatible class-incremental learning via energy-based expansion and fusion, in: The eleventh International Conference on Learning Representations

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:12:19.156376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:12:18.238759Z digest=sha256:a9ad2d47e7adfa43665384e9a575bece408858c08d7052e1267a769882cf9dc2

Observation 913c1199-211e-4564-bc4d-de58dca70d76 · outbound

This paper cites Foster: Feature boosting and compression for class-incremental learning, in: European Conference on Computer Vision, Springer.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Foster: Feature boosting and compression for class-incremental learning, in: European Conference on Computer Vision, Springer

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:12:19.141464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:12:18.243224Z digest=sha256:d127b5383683c3e49a2a025b3566222da89059cf708d7cf9f280cbd187fd7a69

Observation 2e82a378-c909-4cbf-b068-086f0eb19091 · outbound

This paper cites Rethinking Class-Incremental Learning From a Dynamic ImbalancedLearningPerspective.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Rethinking Class-Incremental Learning From a Dynamic ImbalancedLearningPerspective

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:12:19.127831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:12:18.247620Z digest=sha256:bce62059e5ea7e53867d8a5a5e47ac1fad209ed4b8b4a740fd55945feef24a53

Observation 13f9d518-8442-42b3-8d39-e6ea7a64512b · outbound

This paper cites Rehearsal-Free Modular and Compositional Continual Learning for Language Models.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Rehearsal-Free Modular and Compositional Continual Learning for Language Models

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-07T23:12:18.595629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:12:18.251411Z digest=sha256:6c18e6c2e30836bff355ce13f9495d61144d6fd5a2fc3f07540be79f0c0e2432

Observation ca91591a-07cf-4f30-9cfb-1d68dcf7b870 · outbound

This paper cites Cross-Domain Invariant Feature Absorption and Domain-Specific Feature Retention for Domain Incremental Chest X-Ray Classifica- tion.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Cross-Domain Invariant Feature Absorption and Domain-Specific Feature Retention for Domain Incremental Chest X-Ray Classifica- tion

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:12:19.112679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:12:18.256858Z digest=sha256:24fbc70e258d48221a56cf3ff80a0597c3a6baf68235c739c94526745274e7e6

Observation 8bf14a06-8783-43af-b4e3-f155352564c3 · outbound

This paper cites Dual-AttentionTransformersforClass-IncrementalLearning:ATale ofTwoMemories.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Dual-AttentionTransformersforClass-IncrementalLearning:ATale ofTwoMemories

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T23:12:18.262099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:12:18.262099Z digest=sha256:7f1b1345d077b923a4fa9b9153c505ac3cb020e37ed6c5aa2f87f8f78efbea9f

Observation 2b4cce78-4f45-4b83-ba16-f85e3218c0d8 · outbound

This paper cites DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning, in:EuropeanConferenceonComputerVision,Springer.pp.631–648.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning, in:EuropeanConferenceonComputerVision,Springer.pp.631–648

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:12:19.097155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:12:18.266325Z digest=sha256:b112bb9558e45aad38338de74161b7d216853400f70b5a7a23e9ce4ef92f90a0

Observation 229ce2e9-e2a6-446b-a4de-adc060f4c1c8 · outbound

This paper cites Learning to Prompt for Continual Learning,in:ProceedingsoftheIEEE/CVFConferenceonComputer Vision and Pattern Recognition, pp.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Learning to Prompt for Continual Learning,in:ProceedingsoftheIEEE/CVFConferenceonComputer Vision and Pattern Recognition, pp

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:12:19.081794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:12:18.270948Z digest=sha256:2f8b7771a492e091c10d184512c3a543d6043e87659af9bee2652ab3fafcd665

Observation d78e055c-6978-4eac-93b6-7e20f836bd67 · outbound

This paper cites Herding dynamical weights to learn, in: Pro- ceedings of the 26th Annual International Conference on Machine Learning, pp.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Herding dynamical weights to learn, in: Pro- ceedings of the 26th Annual International Conference on Machine Learning, pp

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:12:19.066457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:12:18.275198Z digest=sha256:d92a43dbd33762c0ed5624d1eaaa79283afc8f443c8d875a836ec172d3c63a5e

Observation b63570e7-77ff-405c-894c-ac573ec48904 · outbound

This paper cites PMC-LLaMA: toward building open-source language models for medicine.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models PMC-LLaMA: toward building open-source language models for medicine

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:12:19.052093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:12:18.279560Z digest=sha256:098413463d5ec3db591ec3b3afb06b1cd1b026b6869b50ca9b8b5c8f4ab3d763

Observation 8351fcc2-1699-473f-b350-d355e2771923 · outbound

This paper cites Meta continual learning revisited: Implicitly enhancing online hessian ap- proximation via variance reduction, in: The Twelfth International Conference on Learning Representations.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Meta continual learning revisited: Implicitly enhancing online hessian ap- proximation via variance reduction, in: The Twelfth International Conference on Learning Representations

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:12:19.037053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:12:18.283707Z digest=sha256:bd19c7f76b567169c2165974993515a3d3139bcb9dd1c1a863369bef4114f395

Observation f9af573d-69dd-4530-bd4c-bde68974fcca · outbound

This paper cites DER: Dynamically expandable representation for class incremental learning, in: Proceedings of the IEEE/CVFConferenceonComputerVisionandPatternRecognition, pp.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models DER: Dynamically expandable representation for class incremental learning, in: Proceedings of the IEEE/CVFConferenceonComputerVisionandPatternRecognition, pp

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:12:19.021470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:12:18.288200Z digest=sha256:0e5b15147e2764021d61cd064c87f0bc089bfe689fb6270a2e3f8b71090627fa

Observation 741a3899-1a41-4ea9-8ccc-847d88200c90 · outbound

This paper cites Continual learning through synapticintelligence,in:InternationalConferenceonMachineLearn- ing, PMLR.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Continual learning through synapticintelligence,in:InternationalConferenceonMachineLearn- ing, PMLR

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:12:19.006270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:12:18.292756Z digest=sha256:2d247bde48c1e527f6ba18c41bc8829ec754b456f04a832866f0d2c0ac0eb9b1

Observation 2dbd3cae-bb65-499f-84e5-c87c1c2e8a7b · outbound

This paper cites Anti-Confounding Hashing: Enhancing Radiological Image Retrieval via Debiased Weighting and Counterfactual Reasoning.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Anti-Confounding Hashing: Enhancing Radiological Image Retrieval via Debiased Weighting and Counterfactual Reasoning

Reference 52

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T23:12:18.499512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:12:18.297055Z digest=sha256:1e80c9b03742f1d7e43f2a8e4fe329c5ac0d4e2c65c6ef3b9d55a2152afb7359

Observation bbcea932-04de-421d-bdeb-10a191add593 · outbound

This paper cites CausalMixNet:Amixed-attentionframeworkforcausal intervention in robust medical image diagnosis.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models CausalMixNet:Amixed-attentionframeworkforcausal intervention in robust medical image diagnosis

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T23:12:18.301443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:12:18.301443Z digest=sha256:f9fe031beeed00573239827d08eb26cfeb671a731138d0ee33e95d9e8270eb90

Observation cb686ea0-9bf8-4523-adeb-69a512920ae9 · outbound

This paper cites Maintaining discriminationandfairnessinclassincrementallearning,in:Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Maintaining discriminationandfairnessinclassincrementallearning,in:Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:12:18.990475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:12:18.305746Z digest=sha256:a3dd585129450ca02524d8d2a41579c5e948c8477652398b3d5d4f460a31cafb

Observation 24f4be3c-f26e-40f7-930f-1417736904cc · outbound

This paper cites Task-Agnostic Guided Feature Expansion for Class-Incremental Learning, in: Pro- ceedings of the Computer Vision and Pattern Recognition Confer- ence, pp.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models Task-Agnostic Guided Feature Expansion for Class-Incremental Learning, in: Pro- ceedings of the Computer Vision and Pattern Recognition Confer- ence, pp

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:12:18.975201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:12:18.310215Z digest=sha256:d23af6f6cbe91d66cb644092d458f428b04ba1a360cf52fb76b65eee5b99a7b3

Observation 70eeefea-8562-4c79-b187-92087d3d1a4a · outbound

This paper cites PyCIL: a python toolbox for class-incremental learning.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models PyCIL: a python toolbox for class-incremental learning

Reference 56

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T23:12:18.959136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:12:18.314437Z digest=sha256:509da739329a6cd59df0d28a58703166ca7d321a61f1433757147199bde7bd2c

Observation 1ee2440f-3c58-477a-8947-f9a07233d36f · outbound

This paper cites AModelor603 Exemplars: Towards Memory-Efficient Class-Incremental Learning, in: The Eleventh International Conference on Learning Representa- tions.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models AModelor603 Exemplars: Towards Memory-Efficient Class-Incremental Learning, in: The Eleventh International Conference on Learning Representa- tions

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:12:18.944066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:12:18.318867Z digest=sha256:2cf66e6e862280ede58cec8af4d7eaad65fdf70b75110ca75758705b178e74ba

Observation d22f9384-2f9a-4051-bcfb-fbf450c41ad0 · outbound

This paper cites The Llama 3 Herd of Models.

STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models The Llama 3 Herd of Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T23:12:18.119772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:12:18.119772Z digest=sha256:89acfdcab29952d0d538fe1e61d9c3417af807abe277f8bbaf171b596023b4f5

Pith citing papers

No inbound Pith citation observations are available.