Paper Citation Record · LEDGER

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning

As of 18 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 2 inbound Pith citation observations for arXiv:2505.12239.

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

pith.paper-citation-record.v1
2505.12239 v2

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:45:21.754328Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:21:14.470130Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T12:31:03.487256Z

Reference resolution

57 of 57 outbound references displayed

verified exact0
verified fuzzy48
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ed07387-de90-44d8-a76d-71950b8d3bd7 · outbound

This paper cites A comprehensive survey of continual learning: Theory, method and application.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning A comprehensive survey of continual learning: Theory, method and application

Reference 1

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Source-reported events for the cited work

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Observation 4c0320b5-1272-4893-8318-f5f8f9fa6c70 · outbound

This paper cites Fairness continual learning approach to semantic scene understanding in open-world environments.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Fairness continual learning approach to semantic scene understanding in open-world environments

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.492095Z

Source-reported events for the cited work

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Observation c4a6dc35-5a27-42f5-9f88-059dd7ef9e4c · outbound

This paper cites Learning to prompt knowledge transfer for open-world continual learning.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Learning to prompt knowledge transfer for open-world continual learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.480440Z

Source-reported events for the cited work

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Observation aca89115-88ed-4b2b-9cb6-a63728490ac0 · outbound

This paper cites SLCA: Slow learner with classifier alignment for continual learning on a pre-trained model.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning SLCA: Slow learner with classifier alignment for continual learning on a pre-trained model

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.469303Z

Source-reported events for the cited work

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Observation db92393c-e890-435e-ba2c-281d9bc64501 · outbound

This paper cites Learning to prompt for continual learning.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Learning to prompt for continual learning

Reference 5

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Source-reported events for the cited work

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Observation 0ef77a55-646b-4805-a412-1dfdea16d47f · outbound

This paper cites Expandable subspace ensemble for pre-trained model-based class-incremental learning.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Expandable subspace ensemble for pre-trained model-based class-incremental learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.450407Z

Source-reported events for the cited work

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Observation 09a89fa9-49b4-459b-883b-ce13b07d208c · outbound

This paper cites RanPAC: Random projections and pre-trained models for continual learning.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning RanPAC: Random projections and pre-trained models for continual learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.438850Z

Source-reported events for the cited work

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Observation 37b5a275-c8a2-4e93-a6cd-04a496a47a51 · outbound

This paper cites Continual learning with pre-trained models: A survey.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Continual learning with pre-trained models: A survey

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.426143Z

Source-reported events for the cited work

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Observation 98de665a-97fc-4d26-be6e-401a12733608 · outbound

This paper cites PILOT: a pre-trained model- based continual learning toolbox.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning PILOT: a pre-trained model- based continual learning toolbox

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.414109Z

Source-reported events for the cited work

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Observation 9548daed-d52f-4028-a168-e8473e399a49 · outbound

This paper cites Machine unlearning: Taxonomy, metrics, applications, challenges, and prospects.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Machine unlearning: Taxonomy, metrics, applications, challenges, and prospects

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.402398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bcadb3ba-c508-48b0-a265-9b22a864f6f3 · outbound

This paper cites Towards un- bounded machine unlearning.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Towards un- bounded machine unlearning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.391013Z

Source-reported events for the cited work

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Observation b9de1f6a-c080-4cb7-b446-a906673a486c · outbound

This paper cites Learning to unlearn for robust machine unlearning.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Learning to unlearn for robust machine unlearning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.379220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2277d55a-c7e3-40f9-93b8-267ea6604fa9 · outbound

This paper cites Fecam: Exploiting the heterogeneity of class distributions in exemplar-free continual learning.Advances in Neural Information Processing Systems, 36:6582–6595, 2023.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Fecam: Exploiting the heterogeneity of class distributions in exemplar-free continual learning.Advances in Neural Information Processing Systems, 36:6582–6595, 2023

Reference 13

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Source-reported events for the cited work

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Observation 5392a428-5baf-4771-834f-5136ed4307aa · outbound

This paper cites Resurrecting old classes with new data for exemplar-free continual learning.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Resurrecting old classes with new data for exemplar-free continual learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.360211Z

Source-reported events for the cited work

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Observation 0729dc54-45ed-4735-a82d-bba278fffab4 · outbound

This paper cites GACL: Exemplar-free generalized analytic continual learning.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning GACL: Exemplar-free generalized analytic continual learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.347739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 41374653-c0cd-4868-89e5-9e56649b5e89 · outbound

This paper cites DS-AL: A dual-stream analytic learning for exemplar-free class-incremental learning.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning DS-AL: A dual-stream analytic learning for exemplar-free class-incremental learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.335919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b24ab9c5-cb04-403b-9516-76c5631bd69f · outbound

This paper cites Machine un- learning of features and labels.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Machine un- learning of features and labels

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.325105Z

Source-reported events for the cited work

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Observation 9660b7c4-a588-4825-a4a5-ba6c35b9fe7c · outbound

This paper cites Machine unlearning.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Machine unlearning

Reference 18

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Source-reported events for the cited work

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Observation 528b1165-2e5d-4d44-a932-e9549d82003b · outbound

This paper cites ARCANE: An efficient architecture for exact machine unlearning.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning ARCANE: An efficient architecture for exact machine unlearning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.306472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5f428dd5-9ca2-47e6-842a-cdcd0d578a42 · outbound

This paper cites Machine unlearning via algorithmic stability.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Machine unlearning via algorithmic stability

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.295170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d8333456-c399-40d3-9fbe-b3b2f6870a91 · outbound

This paper cites Model sparsity can simplify machine unlearning.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Model sparsity can simplify machine unlearning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.283063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4ba197a0-62e9-4a6b-ab5d-0e0ff75845bb · outbound

This paper cites SalUn: Empowering machine unlearning via gradient-based weight saliency in both image classification and generation.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning SalUn: Empowering machine unlearning via gradient-based weight saliency in both image classification and generation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.270108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6f0e72ac-063d-447b-9d38-e4b3a71d668a · outbound

This paper cites Unrolling SGD: Understanding Factors Influencing Machine Unlearning.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Unrolling SGD: Understanding Factors Influencing Machine Unlearning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.256600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6bb02588-bc54-4ce5-8781-4b314595e5c3 · outbound

This paper cites What makes unlearning hard and what to do about it.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning What makes unlearning hard and what to do about it

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.242150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 25cdd2bd-754f-408f-ba58-aca0a3bc9bb9 · outbound

This paper cites ERM-KTP: Knowledge-level machine unlearning via knowledge transfer.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning ERM-KTP: Knowledge-level machine unlearning via knowledge transfer

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.228062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ad94121e-8ccb-4302-b851-70e860e77782 · outbound

This paper cites ACIL: Analytic class-incremental learning with absolute memorization and privacy protection.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning ACIL: Analytic class-incremental learning with absolute memorization and privacy protection

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.214507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 308ce68a-19c3-403b-a1d4-831dcd84d72c · outbound

This paper cites GKEAL: Gaussian kernel embedded analytic learning for few-shot class incremental task.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning GKEAL: Gaussian kernel embedded analytic learning for few-shot class incremental task

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.201020Z

Source-reported events for the cited work

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Observation 012028b3-a28e-487c-9f28-be3ca577067f · outbound

This paper cites F-OAL: Forward-only online analytic learning with fast training and low memory footprint in class incremental learning.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning F-OAL: Forward-only online analytic learning with fast training and low memory footprint in class incremental learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.187522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2a90be97-0bdd-4a04-81aa-dddc238b408d · outbound

This paper cites MMAL: Multi-modal analytic learning for exemplar-free audio- visual class incremental tasks.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning MMAL: Multi-modal analytic learning for exemplar-free audio- visual class incremental tasks

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.174002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b1ba748e-2e92-4ce9-96a5-b1f11f1627d5 · outbound

This paper cites Order-robust class incremental learning: Graph-driven dynamic similarity grouping.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Order-robust class incremental learning: Graph-driven dynamic similarity grouping

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.160539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 775f0d46-c5ed-475f-a27c-ef29e5f0c78b · outbound

This paper cites Knowledge memorization and rumination for pre-trained model-based class-incremental learning.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Knowledge memorization and rumination for pre-trained model-based class-incremental learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.147256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a380bb7c-949e-4da8-9251-a6ec15162823 · outbound

This paper cites TSVD: Bridging theory and practice in continual learning with pre-trained models.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning TSVD: Bridging theory and practice in continual learning with pre-trained models

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.132819Z

Source-reported events for the cited work

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Observation 8212fc4b-e119-4e0b-a2ba-eac18a222360 · outbound

This paper cites Boosting multiple views for pretrained-based continual learning.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Boosting multiple views for pretrained-based continual learning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.119438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3fd84b6a-65c2-4733-a638-118291143c8b · outbound

This paper cites Certified data removal from machine learning models.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Certified data removal from machine learning models

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.104047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7a08dbe7-911d-4c62-a831-937ebb0bc37b · outbound

This paper cites Varshney, Mohit Bansal, Sanmi Koyejo, and Yang Liu.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Varshney, Mohit Bansal, Sanmi Koyejo, and Yang Liu

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.085915Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 188a8d4a-c1e1-4eac-afdb-02a9fc342ed9 · outbound

This paper cites Continual forgetting for pre-trained vision models.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Continual forgetting for pre-trained vision models

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.072518Z

Source-reported events for the cited work

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Observation 9a14a5c4-ef1c-4167-aa62-322679c0dbaa · outbound

This paper cites A survey on federated unlearning: Challenges, methods, and future directions.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning A survey on federated unlearning: Challenges, methods, and future directions

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.059300Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c538e762-643a-461c-bc34-ad912daf29cf · outbound

This paper cites Graph unlearning.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Graph unlearning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.044823Z

Source-reported events for the cited work

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Observation 20d9e47d-e89d-41b9-a771-0dc3849d32fe · outbound

This paper cites Learning to unlearn: Instance-wise unlearning for pre-trained classifiers.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Learning to unlearn: Instance-wise unlearning for pre-trained classifiers

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.031404Z

Source-reported events for the cited work

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Observation 2f8e84e7-eb2d-4daf-873d-ec906409443a · outbound

This paper cites A Unified Framework for Continual Learning and Unlearning.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning A Unified Framework for Continual Learning and Unlearning

Reference 40

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Observation 8d082cc8-1d11-459a-90c9-3357869c8d75 · outbound

This paper cites Pseudoinverse learning algorithm for feedforward neural networks.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Pseudoinverse learning algorithm for feedforward neural networks

Reference 41

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Source-reported events for the cited work

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Observation f246f34a-0e6c-4510-9df9-9c160e86ca75 · outbound

This paper cites A progressive stacking pseudoinverse learning framework via active learning in random subspaces.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning A progressive stacking pseudoinverse learning framework via active learning in random subspaces

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:22.007528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4152d3c2-7e6e-4681-af32-1c686f19f1f3 · outbound

This paper cites Bayesian pseudoinverse learners: From uncertainty to deterministic learning.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Bayesian pseudoinverse learners: From uncertainty to deterministic learning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:21.992263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ef1f80ad-8212-4099-a5f6-a2c3bbdfd3f5 · outbound

This paper cites Universal approximation using radial-basis-function networks.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Universal approximation using radial-basis-function networks

Reference 44

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Source-reported events for the cited work

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Observation b25b5bb0-2bf6-42e3-a467-2ea31b8285e5 · outbound

This paper cites Learning from the kernel and the range space.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Learning from the kernel and the range space

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:21.970659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 894703e4-fb92-401a-ad31-a455fe593292 · outbound

This paper cites Noniterative deep learning: Incorporating re- stricted boltzmann machine into multilayer random weight neural networks.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Noniterative deep learning: Incorporating re- stricted boltzmann machine into multilayer random weight neural networks

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:21.958301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 70c79480-108d-4631-8207-194a600bfdb6 · outbound

This paper cites An analytic formulation of con- volutional neural network learning for pattern recognition.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning An analytic formulation of con- volutional neural network learning for pattern recognition

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:21.943586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ea26c927-9438-412d-83ca-96df7727ac3e · outbound

This paper cites DensePILAE: a feature reuse pseudoinverse learning algorithm for deep stacked autoencoder.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning DensePILAE: a feature reuse pseudoinverse learning algorithm for deep stacked autoencoder

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:21.929136Z

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Observation 337c71b6-057a-4066-a3a8-2ab1f9af09eb · outbound

This paper cites Blockwise recursive moore–penrose inverse for network learning.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Blockwise recursive moore–penrose inverse for network learning

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:21.915081Z

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Observation 9f1ec185-74fe-4739-a022-627933af4bbf · outbound

This paper cites Locality sensitive sparse encoding for learning world models online.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Locality sensitive sparse encoding for learning world models online

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:21.901656Z

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Observation dc6ede5c-1873-4b4a-9dde-4c8cf4b4fc66 · outbound

This paper cites AFL: A single-round analytic approach for federated learing with pre-trained models.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning AFL: A single-round analytic approach for federated learing with pre-trained models

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:21.886958Z

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Observation 979a0647-3340-4f9b-918c-c9219a1c917c · outbound

This paper cites On Loss Functions for Deep Neural Networks in Classification.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning On Loss Functions for Deep Neural Networks in Classification

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:21.732481Z

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Observation 4c3cae58-4206-4c61-a4d6-066f3673b8d3 · outbound

This paper cites Evaluation of neural architectures trained with square loss vs cross-entropy in classification tasks.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Evaluation of neural architectures trained with square loss vs cross-entropy in classification tasks

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:21.873105Z

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Observation b5f3b333-f901-4eb5-91c7-7e22dc0dbf34 · outbound

This paper cites Learning multiple layers of features from tiny images.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Learning multiple layers of features from tiny images

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:21.742559Z

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Observation 30d039e0-5770-4f8f-b146-6bd0dbb283e0 · outbound

This paper cites WoodFisher: Efficient second-order approximation for neural network compression.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning WoodFisher: Efficient second-order approximation for neural network compression

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:21.849984Z

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Observation 14333d0a-9429-4f81-b82a-7e6739ccc88a · outbound

This paper cites Eternal sunshine of the spotless net: Selective forgetting in deep networks.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Eternal sunshine of the spotless net: Selective forgetting in deep networks

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:21.836286Z

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Observation b05d0d1c-b40c-4364-9aa2-46728fc1cdf5 · outbound

This paper cites Membership inference attacks against machine learning models.

Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Membership inference attacks against machine learning models

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:21.822541Z

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Pith citing papers

Observation 8420681f-9583-45cb-8146-c0a0c16e8f63 · inbound

APFL: Analytic Personalized Federated Learning via Dual-Stream Least Squares cites this paper.

APFL: Analytic Personalized Federated Learning via Dual-Stream Least Squares Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T20:21:14.470130Z

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Observation 6196dbf1-863d-4cdc-aaf4-6b3fcd9da44a · inbound

Robust Continual Unlearning against Knowledge Erosion and Forgetting Reversal cites this paper.

Robust Continual Unlearning against Knowledge Erosion and Forgetting Reversal Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-06-08T02:03:42.966677Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.