Paper Citation Record · LEDGER

Prototype Augmented Hypernetworks for Continual Learning

As of 21 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2505.07450.

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

pith.paper-citation-record.v1
2505.07450 v3

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:20:48.711886Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:07:59.355518Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T14:08:01.066141Z

Reference resolution

28 of 28 outbound references displayed

verified exact0
verified fuzzy22
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 89625c19-51d2-4dc4-bb56-008b0f32f993 · outbound

This paper cites Dark experience for general continual learning: a strong, simple baseline.

Prototype Augmented Hypernetworks for Continual Learning Dark experience for general continual learning: a strong, simple baseline

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:49.230869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation de21e14b-543b-40fe-96ec-f2447a3cb20c · outbound

This paper cites Riemannian walk for incremental learning: Understanding forgetting and intransigence.

Prototype Augmented Hypernetworks for Continual Learning Riemannian walk for incremental learning: Understanding forgetting and intransigence

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:49.214043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3a672449-5fc6-4e99-89b7-83c84c2207ce · outbound

This paper cites Efficient lifelong learning with a-gem, 2018.

Prototype Augmented Hypernetworks for Continual Learning Efficient lifelong learning with a-gem, 2018

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:49.196813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ef603921-adf8-4938-933b-0338328c3478 · outbound

This paper cites Probing representation forgetting in supervised and unsupervised continual learning.

Prototype Augmented Hypernetworks for Continual Learning Probing representation forgetting in supervised and unsupervised continual learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:49.180740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1d09ad90-1283-4a7b-bf1e-e0936fdcc214 · outbound

This paper cites an unresolved cited work.

Prototype Augmented Hypernetworks for Continual Learning Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:20:49.163039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ae2d24a2-9f22-480b-a3ef-977e12cdba57 · outbound

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

Prototype Augmented Hypernetworks for Continual Learning Resurrecting old classes with new data for exemplar-free con- tinual learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:49.144526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bd0b5061-c8ba-4a9f-a887-60e21075fc9f · outbound

This paper cites Hypernetworks.

Prototype Augmented Hypernetworks for Continual Learning Hypernetworks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:49.126438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 315aa86d-c823-4680-a014-0719a4258f21 · outbound

This paper cites Partial hypernetworks for continual learning.

Prototype Augmented Hypernetworks for Continual Learning Partial hypernetworks for continual learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:49.109744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1979e0c2-bf47-4e05-89c9-c9485e4773b5 · outbound

This paper cites Selective experience replay for lifelong learning.

Prototype Augmented Hypernetworks for Continual Learning Selective experience replay for lifelong learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:49.092643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aaae29cd-ce02-4d25-ae11-b9d99c4e4b07 · outbound

This paper cites Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, and Raia Hadsell.

Prototype Augmented Hypernetworks for Continual Learning Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, and Raia Hadsell

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:49.074560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation af50a232-8dbb-419e-9df0-1c55f8d30825 · outbound

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

Prototype Augmented Hypernetworks for Continual Learning Learning multiple layers of features from tiny images

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T22:20:48.611727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9064f06-753f-4ab1-bd9c-732112f02848 · outbound

This paper cites Im- agenet classification with deep convolutional neural networks.

Prototype Augmented Hypernetworks for Continual Learning Im- agenet classification with deep convolutional neural networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T22:20:48.617065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9165c089-abf1-429c-8473-18d4fbd47ee6 · outbound

This paper cites Lifelong learning gets better with mixup and unsupervised continual representation.

Prototype Augmented Hypernetworks for Continual Learning Lifelong learning gets better with mixup and unsupervised continual representation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:49.034005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3bbb417c-1fe4-449c-8e86-3de78f35a1ad · outbound

This paper cites Contrastive continual learning with importance sampling and prototype-instance relation distillation.

Prototype Augmented Hypernetworks for Continual Learning Contrastive continual learning with importance sampling and prototype-instance relation distillation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:49.017533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1e21294a-6004-48cc-b64d-9dd99f490ce5 · outbound

This paper cites Learning without forget- ting.

Prototype Augmented Hypernetworks for Continual Learning Learning without forget- ting

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:48.998531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d5024abc-eb8a-4b6b-92b6-83f3aaaa7322 · outbound

This paper cites Representational continuity for unsu- pervised continual learning.

Prototype Augmented Hypernetworks for Continual Learning Representational continuity for unsu- pervised continual learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:48.979858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b5ad3a7a-acc8-43c9-9f0f-7b9eed59563e · outbound

This paper cites Elastic feature consolida- tion for cold start exemplar-free incremental learning.

Prototype Augmented Hypernetworks for Continual Learning Elastic feature consolida- tion for cold start exemplar-free incremental learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:48.962068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d9a6cf56-6a2b-4f30-9754-e79ba05c3689 · outbound

This paper cites an unresolved cited work.

Prototype Augmented Hypernetworks for Continual Learning Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:20:48.940987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b3400f93-9eab-4a5e-a07e-107f13bb3882 · outbound

This paper cites Ramasesh, Ethan Dyer, and Maithra Raghu.

Prototype Augmented Hypernetworks for Continual Learning Ramasesh, Ethan Dyer, and Maithra Raghu

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:48.919767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4891dd53-0b6d-42ca-878a-9a76c415a3f8 · outbound

This paper cites icarl: Incremental classifier and rep- resentation learning.

Prototype Augmented Hypernetworks for Continual Learning icarl: Incremental classifier and rep- resentation learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:48.900789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4110da31-d1ae-462d-86c1-78fcd1972d95 · outbound

This paper cites Progressive neural networks.

Prototype Augmented Hypernetworks for Continual Learning Progressive neural networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:48.880070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 34c045c9-f901-4826-81d7-ec09e1d84af8 · outbound

This paper cites Prototypical networks for few-shot learning.

Prototype Augmented Hypernetworks for Continual Learning Prototypical networks for few-shot learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:48.859907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a9e7dbe9-004d-4258-b55b-5c8eed4656ea · outbound

This paper cites Gcr: Gradient coreset based replay buffer selection for continual learning.

Prototype Augmented Hypernetworks for Continual Learning Gcr: Gradient coreset based replay buffer selection for continual learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:48.841310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2a5420ae-83de-4bfd-a8f2-6588dc7e4efc · outbound

This paper cites Continual Learning: Applications and the Road Forward.

Prototype Augmented Hypernetworks for Continual Learning Continual Learning: Applications and the Road Forward

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T22:20:48.690641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91eebc0a-d006-48c2-ab72-2cbb25811b3b · outbound

This paper cites Continual learning with hypernetworks.

Prototype Augmented Hypernetworks for Continual Learning Continual learning with hypernetworks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:48.824229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d264e500-ae82-4367-bc7b-7b96af06e5ef · outbound

This paper cites Semantic drift compensation for class-incremental learning.

Prototype Augmented Hypernetworks for Continual Learning Semantic drift compensation for class-incremental learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:48.807441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ae772dd9-9c2a-42ef-8a50-91af71164d6c · outbound

This paper cites Contin- ual learning through synaptic intelligence.

Prototype Augmented Hypernetworks for Continual Learning Contin- ual learning through synaptic intelligence

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T22:20:48.706858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e201ef94-c76b-4252-9f6a-3221258709b6 · outbound

This paper cites Prototype augmentation and self-supervision for incremental learning.

Prototype Augmented Hypernetworks for Continual Learning Prototype augmentation and self-supervision for incremental learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:20:48.775446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 4bac71ab-751d-4bcd-b24b-345036fffc66 · inbound

Aligning Generalisation Between Humans and Machines cites this paper.

Aligning Generalisation Between Humans and Machines Prototype Augmented Hypernetworks for Continual Learning

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:08:01.071307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.