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Paper Citation Record · LEDGER

Active Learning for Continual Learning: Keeping the Past Alive in the Present

As of 11 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 2 inbound Pith citation observations for arXiv:2501.14278.

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

pith.paper-citation-record.v1
2501.14278 v2

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:19:29.678499Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:00:43.151500Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T21:16:51.420922Z

Reference resolution

57 of 57 outbound references displayed

  • verified exact1
  • verified fuzzy45
  • unresolved10
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4d97101f-156b-45f9-b073-342c31ea7799 · outbound

This paper cites Memory retention--the synaptic stability versus plasticity dilemma.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Memory retention--the synaptic stability versus plasticity dilemma

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 27bce6b8-3e81-48af-ac2d-ea052998d2c2 · outbound

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

Active Learning for Continual Learning: Keeping the Past Alive in the Present Learning multiple layers of features from tiny images

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.651173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.415091Z digest=sha256:8e577b0b5bcc7e2b8d8cd02bea39153e1de2d3035867fe27f3b911bf8542fd44

Observation e6064d3e-0e94-4fab-9db0-2435a64d5781 · outbound

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

Active Learning for Continual Learning: Keeping the Past Alive in the Present Memory aware synapses: Learning what (not) to forget

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.635738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.420010Z digest=sha256:ab5d34191ba11de464e36f2ccdacd379e58a6a6494b92f79cf724e08054ac0b9

Observation 98a47c38-db65-424e-8025-7541a41ca12f · outbound

This paper cites Gradient based sample selection for online continual learning.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Gradient based sample selection for online continual learning

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.619738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.425462Z digest=sha256:051d0ab2e016ab3a4ced667eef8ccd06daa1d45f9d7b824721e8625a867828a9

Observation d658fb8a-f8e9-46ac-b811-f0bdd4ac1495 · outbound

This paper cites Gone fishing: Neural active learning with fisher embeddings.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Gone fishing: Neural active learning with fisher embeddings

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.603805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.430633Z digest=sha256:1b4412a9e80c7a26c3ec5311660db9ec66c8b997fb1b0a9000209e09e39d91d4

Observation 3b14cde7-b96c-49f0-a3d4-677a9fdc54d6 · outbound

This paper cites Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T15:19:29.436402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:19:29.436402Z digest=sha256:81a565575eb972ec25df4e72cff1a4dde87cc60a0f109c6453776a98a36711a4

Observation 784b4529-0d13-4fe3-b0c0-61402229ed56 · outbound

This paper cites Few-shot continual active learning by a robot.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Few-shot continual active learning by a robot

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.587798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.442963Z digest=sha256:29eaa523b75d87ab639adaa6e1cad4bacc48484f0f3a128c03ff30fe7d923c1e

Observation 623abca1-b8a8-4f58-84bf-b66c3c7e8927 · outbound

This paper cites Rainbow memory: Continual learning with a memory of diverse samples.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Rainbow memory: Continual learning with a memory of diverse samples

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.572509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.447560Z digest=sha256:baf6018a93538bf821a6910737cdd79efeb1f7a37645be531523f2aa081f018e

Observation ec458f1c-d3d7-4cab-bb84-95942ac4f508 · outbound

This paper cites Online continual learning on a contaminated data stream with blurry task boundaries.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Online continual learning on a contaminated data stream with blurry task boundaries

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.557090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.452218Z digest=sha256:3bdedda4622874a59bf380b1a394f3c2c2fa08b72d0eb00ac7fcbf0816513d85

Observation ff3aba21-d1ba-402a-b754-37481aacace0 · outbound

This paper cites Active prompt learning in vision language models.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Active prompt learning in vision language models

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.541691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.456664Z digest=sha256:d71c22f780727992f858d6ebfb157d79e87270f362d6b16bdac6209c93dc3517

Observation 0496081d-b281-4cb0-995b-34cffd7e9a22 · outbound

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

Active Learning for Continual Learning: Keeping the Past Alive in the Present Dark experience for general continual learning: a strong, simple baseline

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.526208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.460910Z digest=sha256:0bb44f286c5aa1edc4a165b10c63b61acd58cbb97faaf25d564635c9493caa10

Observation c0f7c0be-cb13-4dd1-822f-231b89cad8db · outbound

This paper cites New insights on reducing abrupt representation change in online continual learning.

Active Learning for Continual Learning: Keeping the Past Alive in the Present New insights on reducing abrupt representation change in online continual learning

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.510687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.465760Z digest=sha256:e78683a8caefc59283697a53fb6dd9d2c2d3728fcb3c3293c3f26b0802b963b7

Observation cf94c228-d9dc-4873-9a49-35a7e1b2aeba · outbound

This paper cites Exploring active learning for semiconductor defect segmentation.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Exploring active learning for semiconductor defect segmentation

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.494802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.470550Z digest=sha256:35b0188924f5ba2703515b6d2a45e07310439bd03c2887e754a94d219bde7133

Observation bd39d8d9-b9bf-4755-b1aa-9f379ef354be · outbound

This paper cites Avalanche: A pytorch library for deep continual learning.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Avalanche: A pytorch library for deep continual learning

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.477852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.474793Z digest=sha256:b00befd335a6cf13e4a1913e9b20c4b66f3cfc8468048bcbb0b2e38773bffad8

Observation f9f61768-125a-4288-823a-b92cc83392cb · outbound

This paper cites Online continual learning from imbalanced data.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Online continual learning from imbalanced data

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.458387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.479432Z digest=sha256:6c81ca8452f1e46316484949f3fe091c3516b800d9841f6233040001d203fa09

Observation e3107e44-7872-4912-b004-70e33f372e49 · outbound

This paper cites A continual learning survey: Defying forgetting in classification tasks.

Active Learning for Continual Learning: Keeping the Past Alive in the Present A continual learning survey: Defying forgetting in classification tasks

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.442582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.483861Z digest=sha256:9d1f586e05d8322be7381ec06eaf35399aba561a8f1cebdfc795602a52d49146

Observation b3030ce6-9676-4624-b2c3-9f1b372f781f · outbound

This paper cites Catastrophic forgetting in connectionist networks.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Catastrophic forgetting in connectionist networks

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.424902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 626e8a5f-7d85-407c-8e21-741f62d73611 · outbound

This paper cites Learnability and algorithm for continual learning.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Learnability and algorithm for continual learning

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.407017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.492994Z digest=sha256:26cb0b9c1dc6b3edc52da3926b361a0070fc890475e1aae1c891d5f285c5f0ee

Observation ad9e064e-8ba5-4328-abac-41fa2052dc12 · outbound

This paper cites Achieving a better stability-plasticity trade-off via auxiliary networks in continual learning.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Achieving a better stability-plasticity trade-off via auxiliary networks in continual learning

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.390246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.497552Z digest=sha256:bfc981e2d60615db8f108bf91c29ad81e15f44fc83c4e78d5842a6ff160cba5e

Observation ae1a9ead-c736-4c37-8307-44846b374fb3 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Overcoming catastrophic forgetting in neural networks

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T15:19:29.502294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:19:29.502294Z digest=sha256:1e110d014f10baf6a51a191ce46d50dd332239c303c4f3c4a3b248c4ae4bdf12

Observation 7939e6a7-e4e0-4bf6-bb46-28c927dfcb6a · outbound

This paper cites Unifying approaches in active learning and active sampling via fisher information and information-theoretic quantities.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Unifying approaches in active learning and active sampling via fisher information and information-theoretic quantities

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T15:19:29.506840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:19:29.506840Z digest=sha256:63a06a30a48994eb33a2ed3d0e2243d8228ec352648be9487b9fe79d25350f74

Observation e34db145-3618-49b3-9cb2-71c5c37d8165 · outbound

This paper cites Tiny imagenet visual recognition challenge.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Tiny imagenet visual recognition challenge

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.351641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 598394cd-3c24-435a-95cf-bd24b12e31b6 · outbound

This paper cites Bontempi.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Bontempi

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.333916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.516006Z digest=sha256:7e520e345c4164db5de865d5ffff86458a6035eb7d81482ae0b3600cffafe22c

Observation 49140e5a-ebe1-45a0-93f4-6661a744edd1 · outbound

This paper cites Gradient-based learning applied to document recognition.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Gradient-based learning applied to document recognition

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.317480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.520801Z digest=sha256:276ad8c3fd32866a88823ab18dd541976085672c540598713b393b5565fe3518

Observation 2d7d5641-0ded-4421-952e-c9a04305bd67 · outbound

This paper cites Theory of point estimation.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Theory of point estimation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T15:19:29.525494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:19:29.525494Z digest=sha256:a65b58ed4b3fb289175d35175ab205c2bed46e6d7a65dd5adebeea37d82a8070

Observation 5e138901-e0be-4d92-adae-7fa3dd3de2c5 · outbound

This paper cites Loss decoupling for task-agnostic continual learning.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Loss decoupling for task-agnostic continual learning

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.290390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.530073Z digest=sha256:073a9fddd98b0962e5e46d5bfc0ce7d523de210aef3cc4db19f7bc6c42109aa9

Observation c4fab61e-e1a0-4d00-a664-3d49750205dd · outbound

This paper cites Class incremental learning via likelihood ratio based task prediction.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Class incremental learning via likelihood ratio based task prediction

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.273981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.534441Z digest=sha256:66835c5c1c522135ed201286462044d9cf217e069dbc8b917e68be98e7ab1766

Observation e1a901f1-5186-433f-a215-f70bf74b982e · outbound

This paper cites Divergence measures based on the shannon entropy.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Divergence measures based on the shannon entropy

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.257836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.540492Z digest=sha256:d94aae6c35823041321d83e970d239bdf9a282b028ddd1ed5fa760aca130f3a6

Observation e1c21e7a-5665-4298-bc15-67c0bcf56362 · outbound

This paper cites Supervised contrastive replay: Revisiting the nearest class mean classifier in online class-incremental continual learning.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Supervised contrastive replay: Revisiting the nearest class mean classifier in online class-incremental continual learning

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.242280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.545134Z digest=sha256:83f64d0bd50e60023313588950629dbfa6904f89ee597b3afbfe8b9a88a5bb59

Observation 69d77355-1963-4e80-9890-45d61d523ada · outbound

This paper cites The stability-plasticity dilemma: Investigating the continuum from catastrophic forgetting to age-limited learning effects.

Active Learning for Continual Learning: Keeping the Past Alive in the Present The stability-plasticity dilemma: Investigating the continuum from catastrophic forgetting to age-limited learning effects

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.226329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.549659Z digest=sha256:78d0a6b5900288b6d6f96d861c7cfc84e1b7b0c522e4b9e4847782872d788787

Observation 3511caa4-2381-462e-a4b6-a751f22662b9 · outbound

This paper cites Wide neural networks forget less catastrophically.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Wide neural networks forget less catastrophically

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.209308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.554105Z digest=sha256:75bc91245fd418ab83700014d77263b62e1e4db99dc8e517e185feab38815af6

Observation c30d40f9-d711-439d-80bb-30881b182eb8 · outbound

This paper cites Meta-query-net: Resolving purity-informativeness dilemma in open-set active learning.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Meta-query-net: Resolving purity-informativeness dilemma in open-set active learning

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.192358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.558518Z digest=sha256:60d2cac160d209dada9a8e8e830e567e8c635bb7877c723ffd3200b7088c649b

Observation a91c0243-dbcd-43fa-9de7-b64f7e71bbd5 · outbound

This paper cites The spectrum of the fisher information matrix of a single-hidden-layer neural network.

Active Learning for Continual Learning: Keeping the Past Alive in the Present The spectrum of the fisher information matrix of a single-hidden-layer neural network

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.177223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.563094Z digest=sha256:47f46bb229144800a24702c24a8ff525d2b08f3abb547364c43dc5fdbcabd30a

Observation 5111b70d-4124-4cdd-bfce-5ae6d57e74cc · outbound

This paper cites Continual active learning for efficient adaptation of machine learning models to changing image acquisition.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Continual active learning for efficient adaptation of machine learning models to changing image acquisition

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.160971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.567523Z digest=sha256:5dcf69d5f564313b63dface61987895acf49ec0487ed6580e40a8640b96d0bb0

Observation a0dc0ef1-e83b-499b-acdc-b7816235ee5d · outbound

This paper cites Online continual learning with maximally interfered retrieval.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Online continual learning with maximally interfered retrieval

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.145368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.571967Z digest=sha256:a8a40df786d9d555475b503e3d813bb1ddc250896e9d7664063c627f33393450

Observation 698dcbba-4b65-4359-8434-12d40dc2a342 · outbound

This paper cites A survey of deep active learning.

Active Learning for Continual Learning: Keeping the Past Alive in the Present A survey of deep active learning

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.128185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.577278Z digest=sha256:96fc21685770cd806ac20a59c6940f2713a64ecc7bdefb38844076c460bf1fd4

Observation 747b4ebd-921e-49e3-86cc-1ac8d1aa0190 · outbound

This paper cites Experience replay for continual learning.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Experience replay for continual learning

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T15:19:29.581774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:19:29.581774Z digest=sha256:4eec468380511a9f6d19d57bb29c4a91440f8853eb778bf91c90c29f680db91f

Observation 9b1e0647-d484-40b9-81e2-a88904181fc9 · outbound

This paper cites Margin-based active learning for structured output spaces.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Margin-based active learning for structured output spaces

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.100612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.586246Z digest=sha256:29860f997e0a6c27481bfb4d47c1d469ba0d9be90d318a461c338966c8b8255f

Observation 3c8701cd-4990-4113-bb43-27941cbacfcd · outbound

This paper cites Active Learning for Convolutional Neural Networks: A Core-Set Approach.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T15:19:29.590714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:19:29.590714Z digest=sha256:80433d4a9bc248262af4fc03e2c502b746498e19b9ac5812bf727363ea6cc483

Observation fca083d0-5bc4-4089-8252-29e3ce4b4c47 · outbound

This paper cites Active learning literature survey.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Active learning literature survey

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.084583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.595479Z digest=sha256:ab4987823312e54b29d7357024d6dabcfa9dd59fd4a74976dba06bfb7c166c90

Observation 632ba442-7733-4fa4-839e-4aa617ae8bc8 · outbound

This paper cites Continual learning with deep generative replay.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Continual learning with deep generative replay

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.069519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.599917Z digest=sha256:012c63e8be22a001e29cb40ee630d1807550b143cf9816eb44730ee807930574

Observation e57fce6c-b6d8-457a-8edb-1bd1e36b1266 · outbound

This paper cites Asymptotic analysis of objectives based on fisher information in active learning.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Asymptotic analysis of objectives based on fisher information in active learning

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.053338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.604508Z digest=sha256:62a53e2250a419d2cb0c99644e4c024ab7810e89e75cf1b53243e953704da4f7

Observation 32397143-be11-44c8-89e1-0ea136fe4c77 · outbound

This paper cites A survey on active learning: State-of-the-art, practical challenges and research directions.

Active Learning for Continual Learning: Keeping the Past Alive in the Present A survey on active learning: State-of-the-art, practical challenges and research directions

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.037615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.609058Z digest=sha256:f6301a9220df2d1423a9e0c7c590e6b8df5d694d7a33940171f829a509324245

Observation cf60ed2e-42be-4931-b4c7-936a6d1f92ea · outbound

This paper cites A lifelong learning perspective for mobile robot control.

Active Learning for Continual Learning: Keeping the Past Alive in the Present A lifelong learning perspective for mobile robot control

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.021413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.613861Z digest=sha256:ad91157325ea5bd5f2568ef35b92138577be39a2c7fdd2eb26a87980be2d2c7c

Observation f49bf78d-1233-4a79-b471-355d87b824b4 · outbound

This paper cites Active Continual Learning: On Balancing Knowledge Retention and Learnability.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Active Continual Learning: On Balancing Knowledge Retention and Learnability

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:19:29.811240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.618310Z digest=sha256:2f2023257b05af9cb910840c03e36a56c2abd6c8a58b6c50e5572f5112660be2

Observation 59623461-5319-4d4c-85be-9b67119916d0 · outbound

This paper cites A new active labeling method for deep learning.

Active Learning for Continual Learning: Keeping the Past Alive in the Present A new active labeling method for deep learning

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:30.005841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.623318Z digest=sha256:1d25f008250f54e80e7710694e213704392cbf4b8066b096b296846963e500ae

Observation c0ceb8d4-638e-4463-9a71-723f90e36fee · outbound

This paper cites BEEF : Bi-compatible class-incremental learning via energy-based expansion and fusion.

Active Learning for Continual Learning: Keeping the Past Alive in the Present BEEF : Bi-compatible class-incremental learning via energy-based expansion and fusion

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:29.990112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.627723Z digest=sha256:55101e121eb7b418f1a3e7659aa2577d2536eea9fa63a54ff1f071ecd10192d4

Observation f0e173df-42df-4ff0-8ea8-be01c006a59a · outbound

This paper cites Dualprompt: Complementary prompting for rehearsal-free continual learning.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Dualprompt: Complementary prompting for rehearsal-free continual learning

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:29.973967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.633168Z digest=sha256:ec95ad6d3df4a006635877efeec73c60b5dc8bc41c060810fffe41c9aa0ea6d4

Observation 5d726a95-4447-4042-9089-fbb1d7327498 · outbound

This paper cites Learning to prompt for continual learning.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Learning to prompt for continual learning

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:29.956218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.637793Z digest=sha256:f242298de94a6f130e079fe63142ec63065b0dc332460d5676afce1677e13396

Observation 5636a13a-5700-4b1d-9676-f71afd3846d1 · outbound

This paper cites Der: Dynamically expandable representation for class incremental learning.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Der: Dynamically expandable representation for class incremental learning

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:29.939497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.642040Z digest=sha256:3361337d6b23df35a181bb198384f17ed344d8ff5a08bca06383d7937f26f562

Observation e9ac2aeb-162e-4f92-be58-b80209906b6c · outbound

This paper cites Online coreset selection for rehearsal-based continual learning.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Online coreset selection for rehearsal-based continual learning

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:29.923194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.647371Z digest=sha256:40b3d285971c9d57089376f5c6e62125df849beedf24b99e5b9220c0d42360fb

Observation 94920f3e-609c-47e3-b67d-a6862503da8e · outbound

This paper cites an unresolved cited work.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:19:29.906822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.652147Z digest=sha256:95aa00167815626bdfeed16b359868a278b27c258f83a504690699df31342918

Observation 3f812097-eac0-4aa6-a8da-f8f90fafb601 · outbound

This paper cites A model or 603 exemplars: Towards memory-efficient class-incremental learning.

Active Learning for Continual Learning: Keeping the Past Alive in the Present A model or 603 exemplars: Towards memory-efficient class-incremental learning

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:19:29.890687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T15:19:29.657073Z digest=sha256:b608fd1676e05524d6c72411cbb8653ca09ae8367694ca168ece2067a667ef2c

Observation 994e5018-02b5-45c7-a059-e2c45840bb13 · outbound

This paper cites write newline.

Active Learning for Continual Learning: Keeping the Past Alive in the Present write newline

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-10T15:19:29.661847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:19:29.661847Z digest=sha256:015593d91a7c3b72c3324b6f4a08ef631521a9db561de84f37f6f872fec4ad78

Observation 6b65340f-cb3b-4701-812d-3359750cd3e5 · outbound

This paper cites @esa (Ref.

Active Learning for Continual Learning: Keeping the Past Alive in the Present @esa (Ref

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-10T15:19:29.668028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:19:29.668028Z digest=sha256:fc36eccf98ecdab57e07a34a557571f49374ecb44901060a1a2b8a86053ac2e7

Observation 5c38d6f3-861d-438b-8396-e1d97e9169f5 · outbound

This paper cites an unresolved cited work.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Unresolved cited work

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-10T15:19:29.673730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:19:29.673730Z digest=sha256:f2a7c6a64874c6f49f390d9133b3ac10f230728ae8ff66b3a0aa697dad14a1b7

Observation 90400a47-1b01-44aa-ab6d-f240446d5e9e · outbound

This paper cites an unresolved cited work.

Active Learning for Continual Learning: Keeping the Past Alive in the Present Unresolved cited work

Reference 57

Resolution
malformed identifier
no resolver link, observed 2026-08-10T15:19:29.678499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:19:29.678499Z digest=sha256:838adec33e52bcf480d4c1f41e4e8bc8e9315f1323e933b7424de855259268a3

Pith citing papers

Observation 7697af3c-f3a7-4e9e-a105-d43de9034bcf · inbound

Active Test-time Vision-Language Navigation cites this paper.

Active Test-time Vision-Language Navigation Active Learning for Continual Learning: Keeping the Past Alive in the Present

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T06:00:43.151500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:00:43.151500Z digest=sha256:7a55c934d6b313685fa77e78883802ee32743d76be97f368a71d88817de8944b

Observation b9144dd7-0903-4759-bff4-02f0bb17f3b6 · inbound

BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding cites this paper.

BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding Active Learning for Continual Learning: Keeping the Past Alive in the Present

Reference 102

Resolution
verified exact
arxiv_id, observed 2026-05-18T21:16:51.424348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T21:13:41.362773Z digest=sha256:734eb91c60d5101416e9d23ea88d9f3d98ae6506e07e81acde6506f7c8ecda08