Paper Citation Record · LEDGER

Prompt-Driven Continual Graph Learning

As of 11 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2502.06327.

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

pith.paper-citation-record.v1
2502.06327 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:53:24.245642Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:23:08.562277Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:23:08.604626Z

Reference resolution

52 of 52 outbound references displayed

verified exact0
verified fuzzy37
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d49d42ad-6b16-4ab1-b60e-5c494a178a83 · outbound

This paper cites A comprehensive survey on graph neural networks,.

Prompt-Driven Continual Graph Learning A comprehensive survey on graph neural networks,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T15:53:23.661669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f06dd3f7-7055-4ee5-a02b-86daede86417 · outbound

This paper cites Efficient subgraph search over large uncertain graphs,.

Prompt-Driven Continual Graph Learning Efficient subgraph search over large uncertain graphs,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:26.026474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6dfc62be-e798-4eb6-ac45-818fb0198d3b · outbound

This paper cites Cgmega: explainable graph neural network framework with attention mechanisms for cancer gene module dissection,.

Prompt-Driven Continual Graph Learning Cgmega: explainable graph neural network framework with attention mechanisms for cancer gene module dissection,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:26.014808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation eaa739ad-a4f3-4d76-9679-a4784a7b3833 · outbound

This paper cites A weighted symmetric graph embedding approach for link prediction in undirected graphs,.

Prompt-Driven Continual Graph Learning A weighted symmetric graph embedding approach for link prediction in undirected graphs,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:26.004362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation affc4a53-5dbf-41f7-8799-50dcaeb19df4 · outbound

This paper cites Semisuper- vised graph neural networks for graph classification,.

Prompt-Driven Continual Graph Learning Semisuper- vised graph neural networks for graph classification,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:25.993175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b996e67a-595e-40b8-b889-1465b3290e1e · outbound

This paper cites Noise-resistant graph neural networks for session-based recommenda- tion,.

Prompt-Driven Continual Graph Learning Noise-resistant graph neural networks for session-based recommenda- tion,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:25.981327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1fc65bec-d1a2-42f9-9601-398ec4c8d541 · outbound

This paper cites Grakerformer: A transformer with graph kernel for unsupervised graph representation learning,.

Prompt-Driven Continual Graph Learning Grakerformer: A transformer with graph kernel for unsupervised graph representation learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:25.968653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 67cb1750-66cf-4dff-9312-8e2dd9972c92 · outbound

This paper cites Overcoming catastrophic forgetting in graph neural networks,.

Prompt-Driven Continual Graph Learning Overcoming catastrophic forgetting in graph neural networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:25.908587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 220fef02-448f-43c5-bc81-2ed402787b83 · outbound

This paper cites Lifelong graph learning,.

Prompt-Driven Continual Graph Learning Lifelong graph learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:25.723427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e84fcb01-05e9-495e-a295-5d360d867771 · outbound

This paper cites Adaptive cointegration analysis and modified rpca with continual learning ability for monitoring multimode nonstationary processes,.

Prompt-Driven Continual Graph Learning Adaptive cointegration analysis and modified rpca with continual learning ability for monitoring multimode nonstationary processes,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:25.581288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6b469680-be12-43e2-a4fe-2100abf324d9 · outbound

This paper cites Cglb: Benchmark tasks for continual graph learning,.

Prompt-Driven Continual Graph Learning Cglb: Benchmark tasks for continual graph learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:25.560743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3d22d30c-fe99-4df7-be24-50562c6e3a73 · outbound

This paper cites Rein- forced continual learning for graphs,.

Prompt-Driven Continual Graph Learning Rein- forced continual learning for graphs,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:25.549725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4424b13b-6486-42ed-8802-ae41bea3a915 · outbound

This paper cites Multimodal continual graph learning with neural architecture search,.

Prompt-Driven Continual Graph Learning Multimodal continual graph learning with neural architecture search,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:25.538491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3e5bc351-5a11-4dab-bfa2-ac9318662173 · outbound

This paper cites Continual Learning on Graphs: Challenges, Solutions, and Opportunities.

Prompt-Driven Continual Graph Learning Continual Learning on Graphs: Challenges, Solutions, and Opportunities

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T15:53:23.758308Z

Source-reported events for the cited work

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Observation 7a5349fa-a138-41d4-976e-ddc3f3dd006b · outbound

This paper cites Hierarchical prototype networks for continual graph representation learning,.

Prompt-Driven Continual Graph Learning Hierarchical prototype networks for continual graph representation learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:25.521957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1887c213-77d3-4901-a1ad-9754204631f7 · outbound

This paper cites Continual learning on dynamic graphs via parameter isolation,.

Prompt-Driven Continual Graph Learning Continual learning on dynamic graphs via parameter isolation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:25.494998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fcf98064-62ea-4d2a-9e60-a44aa23d44a0 · outbound

This paper cites Overcoming catastrophic forgetting in graph neural networks with experience replay,.

Prompt-Driven Continual Graph Learning Overcoming catastrophic forgetting in graph neural networks with experience replay,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:25.477682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3287b2cd-6d31-48eb-9ef6-7f34498b0a96 · outbound

This paper cites Sparsified subgraph memory for continual graph representation learning,.

Prompt-Driven Continual Graph Learning Sparsified subgraph memory for continual graph representation learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:25.460767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b3fdb1e7-9a0b-425b-8b7e-4ff1e24bf5d8 · outbound

This paper cites Dygrain: An incremental learning frame- work for dynamic graphs.

Prompt-Driven Continual Graph Learning Dygrain: An incremental learning frame- work for dynamic graphs

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:25.424821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 69f2b97c-26c4-49fe-984c-0d9c9719fe98 · outbound

This paper cites Cat: Balanced continual graph learning with graph condensation,.

Prompt-Driven Continual Graph Learning Cat: Balanced continual graph learning with graph condensation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:25.376842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1bb4b482-0b8d-4aee-a212-7eca63c0ee86 · outbound

This paper cites Ricci curvature-based graph sparsifi- cation for continual graph representation learning,.

Prompt-Driven Continual Graph Learning Ricci curvature-based graph sparsifi- cation for continual graph representation learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:25.338180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a960c4a8-b22d-4a12-87fb-1c640fb4964a · outbound

This paper cites A federated graph neural network framework for privacy-preserving personalization,.

Prompt-Driven Continual Graph Learning A federated graph neural network framework for privacy-preserving personalization,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:25.295652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6ef8ca9b-4059-40bc-bb7c-35edb77400f3 · outbound

This paper cites Making pre-trained language models end-to-end few-shot learners with contrastive prompt tuning,.

Prompt-Driven Continual Graph Learning Making pre-trained language models end-to-end few-shot learners with contrastive prompt tuning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:25.202410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0d67f731-1338-4816-b84d-03c3d1d668e7 · outbound

This paper cites Learning to prompt for continual learning,.

Prompt-Driven Continual Graph Learning Learning to prompt for continual learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:25.066963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5a388f04-f193-4fca-a2d4-898f10c9f627 · outbound

This paper cites Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing,.

Prompt-Driven Continual Graph Learning Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T15:53:24.133064Z

Source-reported events for the cited work

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Observation 6a58e091-1dc1-4afc-945a-1a0e89703699 · outbound

This paper cites Prefix-tuning: Optimizing continuous prompts for generation,.

Prompt-Driven Continual Graph Learning Prefix-tuning: Optimizing continuous prompts for generation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:24.963326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 96688e77-ff12-4644-bccf-8003c8ed511d · outbound

This paper cites Universal prompt tuning for graph neural networks,.

Prompt-Driven Continual Graph Learning Universal prompt tuning for graph neural networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:24.871937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3fa120ea-d12f-4d88-980c-a00f73dc33ec · outbound

This paper cites All in one: Multi-task prompting for graph neural networks,.

Prompt-Driven Continual Graph Learning All in one: Multi-task prompting for graph neural networks,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:24.860698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ab1e0326-d98c-4cfb-b2e8-ba3e4dc4eea4 · outbound

This paper cites Graph Prompt Learning: A Comprehensive Survey and Beyond.

Prompt-Driven Continual Graph Learning Graph Prompt Learning: A Comprehensive Survey and Beyond

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T15:53:24.169189Z

Source-reported events for the cited work

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Observation bcf77160-266f-4ce4-ad26-13a5b54b3441 · outbound

This paper cites Virtual node tuning for few-shot node classification,.

Prompt-Driven Continual Graph Learning Virtual node tuning for few-shot node classification,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:24.850054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6e73e663-d612-442b-9f28-36afbb93f3c5 · outbound

This paper cites Gppt: Graph pre-training and prompt tuning to generalize graph neural networks,.

Prompt-Driven Continual Graph Learning Gppt: Graph pre-training and prompt tuning to generalize graph neural networks,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:24.838461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4df9a0a7-a5e7-42a1-b655-88f2c7e74d67 · outbound

This paper cites It’s not just size that matters: Small language models are also few-shot learners,.

Prompt-Driven Continual Graph Learning It’s not just size that matters: Small language models are also few-shot learners,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:24.827231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 903d67d9-f8be-407a-a541-b5611439daf1 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Prompt-Driven Continual Graph Learning Semi-Supervised Classification with Graph Convolutional Networks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T15:53:24.181999Z

Source-reported events for the cited work

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Observation 22eaf51a-1aea-4d82-a9ff-4db651b61154 · outbound

This paper cites Learning to prompt for vision-language models,.

Prompt-Driven Continual Graph Learning Learning to prompt for vision-language models,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-08T15:53:24.185412Z

Source-reported events for the cited work

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Observation a60456ba-3aad-4652-ae60-9af012f61f85 · outbound

This paper cites Conditional prompt learning for vision-language models,.

Prompt-Driven Continual Graph Learning Conditional prompt learning for vision-language models,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-08T15:53:24.188371Z

Source-reported events for the cited work

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Observation 9cb51439-3525-435b-9e70-32cb6374ab35 · outbound

This paper cites Visual prompt tuning,.

Prompt-Driven Continual Graph Learning Visual prompt tuning,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:24.801650Z

Source-reported events for the cited work

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Observation f35959d7-1530-464e-b129-6f2ccdc44dee · outbound

This paper cites Adaptformer: Adapting vision transformers for scalable visual recog- nition,.

Prompt-Driven Continual Graph Learning Adaptformer: Adapting vision transformers for scalable visual recog- nition,

Reference 37

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Source-reported events for the cited work

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Observation 731fb02c-133b-4ea5-bce1-ca49fd2aa14d · outbound

This paper cites Prompt switch: Efficient clip adaptation for text-video retrieval,.

Prompt-Driven Continual Graph Learning Prompt switch: Efficient clip adaptation for text-video retrieval,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:24.780569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b7089b11-485d-499a-95c0-5986a3eb4d3e · outbound

This paper cites PromptCap: Prompt-Guided Task-Aware Image Captioning.

Prompt-Driven Continual Graph Learning PromptCap: Prompt-Guided Task-Aware Image Captioning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-08T15:53:24.202171Z

Source-reported events for the cited work

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Observation 9b9a43dc-c649-41c5-bf44-fd1bf5531b09 · outbound

This paper cites Exploring low-resource medical image classification with weakly supervised prompt learning,.

Prompt-Driven Continual Graph Learning Exploring low-resource medical image classification with weakly supervised prompt learning,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:24.763692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4069efbe-0f17-480a-9c55-0089a811ac19 · outbound

This paper cites Learning to prompt for open-vocabulary object detection with vision-language model,.

Prompt-Driven Continual Graph Learning Learning to prompt for open-vocabulary object detection with vision-language model,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-08T15:53:24.209480Z

Source-reported events for the cited work

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Observation 39d2eefe-a70a-43ef-afb8-ea9b59a07d01 · outbound

This paper cites Learning background prompts to discover implicit knowledge for open vocabu- lary object detection,.

Prompt-Driven Continual Graph Learning Learning background prompts to discover implicit knowledge for open vocabu- lary object detection,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:24.721108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dac76d64-b548-476e-b871-4e894ca62d64 · outbound

This paper cites Vscode: General visual salient and camouflaged object detection with 2d prompt learning,.

Prompt-Driven Continual Graph Learning Vscode: General visual salient and camouflaged object detection with 2d prompt learning,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:24.687528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f52b45f5-e9f2-42e9-8bfe-3f54aac497ad · outbound

This paper cites Graphprompt: Unifying pre- training and downstream tasks for graph neural networks,.

Prompt-Driven Continual Graph Learning Graphprompt: Unifying pre- training and downstream tasks for graph neural networks,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:24.647252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f8705297-f19b-4d9d-9207-ecb436cce50a · outbound

This paper cites Automating the construction of internet portals with machine learning,.

Prompt-Driven Continual Graph Learning Automating the construction of internet portals with machine learning,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:24.539867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation da6187ef-5aea-4cf3-a741-06e13b95c981 · outbound

This paper cites Open graph benchmark: Datasets for machine learning on graphs,.

Prompt-Driven Continual Graph Learning Open graph benchmark: Datasets for machine learning on graphs,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:24.479439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 320b7ff1-24c5-4027-a3bb-15c8030c1d30 · outbound

This paper cites Inductive representation learning on large graphs,.

Prompt-Driven Continual Graph Learning Inductive representation learning on large graphs,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-08T15:53:24.228005Z

Source-reported events for the cited work

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Observation 0e0d5ef3-a1e9-4f9a-9cac-f899c9b31c3f · outbound

This paper cites Overcoming catastrophic forgetting in neural networks,.

Prompt-Driven Continual Graph Learning Overcoming catastrophic forgetting in neural networks,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-08T15:53:24.231326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec971eb1-6c96-43da-8f2c-58b883bc9feb · outbound

This paper cites Memory aware synapses: Learning what (not) to forget,.

Prompt-Driven Continual Graph Learning Memory aware synapses: Learning what (not) to forget,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:53:24.390534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2f2959b4-3d8c-4818-a799-1156b4bb125d · outbound

This paper cites Gradient episodic memory for continual learning,.

Prompt-Driven Continual Graph Learning Gradient episodic memory for continual learning,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-08T15:53:24.238328Z

Source-reported events for the cited work

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Observation 5f35b198-a9d0-4362-8d1a-ed225ccaf290 · outbound

This paper cites Learning without forgetting,.

Prompt-Driven Continual Graph Learning Learning without forgetting,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-08T15:53:24.241741Z

Source-reported events for the cited work

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Observation bd2d5f58-f847-4111-af73-05d1dc611ab9 · outbound

This paper cites Graph Attention Networks.

Prompt-Driven Continual Graph Learning Graph Attention Networks

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-08T15:53:24.245642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 2bacf7a9-0ed3-4b00-8881-24fbaa96a611 · inbound

Task-Aware Adaptive Modulation: A Replay-Free and Resource-Efficient Approach For Continual Graph Learning cites this paper.

Task-Aware Adaptive Modulation: A Replay-Free and Resource-Efficient Approach For Continual Graph Learning Prompt-Driven Continual Graph Learning

Reference 2025

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T13:23:08.610267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.