Pith. sign in

Paper Citation Record · LEDGER

Continual Learning with Support Boundary Experience Blending

As of 23 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2507.23534.

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

pith.paper-citation-record.v1
2507.23534 v4

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:42:23.237199Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

  • verified exact0
  • verified fuzzy25
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 118ae717-797e-48d4-b985-e9cf03ad5177 · outbound

This paper cites A Recent Survey of Heterogeneous Transfer Learning.

Continual Learning with Support Boundary Experience Blending A Recent Survey of Heterogeneous Transfer Learning

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T10:42:23.091679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:42:23.091679Z digest=sha256:6152d1efc80b61a3bad2c75d9f1929ed804419e0df97b9d72d7659185a8ef621

Observation eeda10bd-9547-4851-a195-3d8faab98a9f · outbound

This paper cites A continual learningsurvey:Defyingforgettinginclassificationtasks,.

Continual Learning with Support Boundary Experience Blending A continual learningsurvey:Defyingforgettinginclassificationtasks,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:42:23.720798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T10:42:23.098179Z digest=sha256:472ece365cd7d39cb7b00605ca86fd2876f46d7176c30687975b0c2a929b65bd

Observation aa3f4f5a-894a-48a0-bfa0-3e4054e052fa · outbound

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

Continual Learning with Support Boundary Experience Blending A comprehensive survey of continual learning: Theory, method and application,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:42:23.702474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T10:42:23.103396Z digest=sha256:c78c7a309229735f628cb7e3ef3442d91072f241b88c832d933ca8ad71c709c9

Observation 2571a489-b215-46c2-8477-cc7126f87e75 · outbound

This paper cites iCaRL: Incremental classifier and representation learning,.

Continual Learning with Support Boundary Experience Blending iCaRL: Incremental classifier and representation learning,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:42:23.686411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T10:42:23.108765Z digest=sha256:37b987c6457ff1f706c2a3f9b3eae291c80a79d2a611cb65d470afcf887254cc

Observation f05092cc-8272-45fc-ae9a-037fba759032 · outbound

This paper cites Continual prototype evo- lution: Learning online from non-stationary data streams,.

Continual Learning with Support Boundary Experience Blending Continual prototype evo- lution: Learning online from non-stationary data streams,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:42:23.669212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T10:42:23.115083Z digest=sha256:cc22dc4d253c8f50019485f00f23530554aa402d0ef66f7dc111d9965c966635

Observation e7ca5a89-6959-4575-8721-f71c6d41ee59 · outbound

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

Continual Learning with Support Boundary Experience Blending Learning multiple layers of features from tiny images,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:42:23.649460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T10:42:23.120385Z digest=sha256:606841c986970087b481e32540c7179656faf5e8e3cc2a1d050f2309a9677485

Observation 8d7101ec-093f-4d10-a702-7c7dbce63b7e · outbound

This paper cites Tiny ImageNet,.

Continual Learning with Support Boundary Experience Blending Tiny ImageNet,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:42:23.632202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T10:42:23.126250Z digest=sha256:8b16b4ff7102fd9f0f9240a6cce4d8fa1ae1105407d423b7418b426b3835243b

Observation 53f12a9f-9e7c-4a16-b14d-be3e5dd9362c · outbound

This paper cites Im- agenet large scale visual recognition challenge,.

Continual Learning with Support Boundary Experience Blending Im- agenet large scale visual recognition challenge,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:42:23.616298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T10:42:23.131729Z digest=sha256:02c524313467386ab5a8ab4e47af513b0015c4d3ca84e5d6b01e5d4dcbfd2308

Observation c750e3c3-698c-4cc7-bc8a-8506dbba9bb1 · outbound

This paper cites Online continual learning with maximally interfered retrieval,.

Continual Learning with Support Boundary Experience Blending Online continual learning with maximally interfered retrieval,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:42:23.599289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T10:42:23.137119Z digest=sha256:0fcc502c264ac29e3684005cfb92e3fa1eff5cf1301bfcc224ae2a504203d9c3

Observation 2ae98af3-3111-4d2e-9a29-098ba8486cd3 · outbound

This paper cites Gdumb: A simple approach that questions our progress in continual learning,.

Continual Learning with Support Boundary Experience Blending Gdumb: A simple approach that questions our progress in continual learning,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:42:23.582350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T10:42:23.142072Z digest=sha256:c5766a2574444447bbc9f3519014efbcbfd81e0c7b1d97cf941ca31d313eda6b

Observation 45a9b753-ad3c-433c-91b3-0c951d23912a · outbound

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

Continual Learning with Support Boundary Experience Blending Rainbow memory: Continual learning with a memory of diverse samples,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:42:23.565795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T10:42:23.147584Z digest=sha256:138aace6849f4383159e7c7d2bc525abca401febacd5bd8601540aef2077ec30

Observation 7bab188b-9f62-4b69-a61c-8515478d23eb · outbound

This paper cites Online continual learning on class incremental blurry task configuration with anytime inference,.

Continual Learning with Support Boundary Experience Blending Online continual learning on class incremental blurry task configuration with anytime inference,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:42:23.548583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T10:42:23.152623Z digest=sha256:f5159fbfa7d9fcdc7dece57da1a562ebd9ac30de300c59add91469bc8296fc28

Observation b1ca0cc3-7520-4a98-a0d1-36ade569c6b6 · outbound

This paper cites Online continual learning on hierarchical label expansion,.

Continual Learning with Support Boundary Experience Blending Online continual learning on hierarchical label expansion,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:42:23.531404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T10:42:23.157936Z digest=sha256:3f6f7056ed2be2a895422c5d08042cfb875777928842bee11a3b435e311fd737

Observation 40e0bf47-0334-43df-8eee-a76e41ca540b · outbound

This paper cites FOSTER: Feature boosting and compression for class-incremental learn- ing,.

Continual Learning with Support Boundary Experience Blending FOSTER: Feature boosting and compression for class-incremental learn- ing,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:42:23.514488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T10:42:23.162930Z digest=sha256:02b03ba34687a57314651da3a09f16bce441f5876393065bd275be509fe024c5

Observation f6857ee9-cfd2-485f-bbfa-4abfa48ae610 · outbound

This paper cites Large scale incremental learning,.

Continual Learning with Support Boundary Experience Blending Large scale incremental learning,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:42:23.497552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T10:42:23.168683Z digest=sha256:e19e13385c183653e5d15d7a162449d4c4610d47f989af10b8354446ba1126f0

Observation 8a0a7ec0-abdb-470e-892e-33f1fe005845 · outbound

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

Continual Learning with Support Boundary Experience Blending Riemannian walk for incremental learning: Understanding forgetting and intransigence,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:42:23.481151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T10:42:23.174516Z digest=sha256:3286d8fa4aa863640433db8b286bd8402e8df02dc8b60ec2b134c1c991ec95d1

Observation bcd40aa6-1cee-4d2b-a1eb-f0f02300fe96 · outbound

This paper cites Doubly perturbed task free continual learning,.

Continual Learning with Support Boundary Experience Blending Doubly perturbed task free continual learning,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:42:23.463483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T10:42:23.179659Z digest=sha256:a9b96fe2f52590d2de6525cf2e4316f0cbcde76326857fbc67e9f1e4b959a3f2

Observation ad7198ff-06dc-4f31-bbb7-a591479135e7 · outbound

This paper cites Differential privacy,.

Continual Learning with Support Boundary Experience Blending Differential privacy,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:42:23.445880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T10:42:23.184652Z digest=sha256:d949bf38ae8f3cb20fd02f02352333e34dafa05f553fda807db801df03985bd1

Observation 730221d8-f2c7-44bd-a61a-0304eb6f9ed6 · outbound

This paper cites Self- attention generative adversarial networks,.

Continual Learning with Support Boundary Experience Blending Self- attention generative adversarial networks,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:42:23.428034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T10:42:23.189785Z digest=sha256:49cbe40d40af86f19756b6f18b476ef668305dc89ef4d4e045e584dd88bcaa77

Observation c93e1b31-117d-43c4-a3ab-f80153a37896 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data,.

Continual Learning with Support Boundary Experience Blending Communication-Efficient Learning of Deep Networks from Decentralized Data,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:42:23.411268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T10:42:23.194593Z digest=sha256:17fa960e1bc3827c925e494197377f4658f5bc14adacb48ae2d1c65af7a7fd83

Observation 384a8085-3778-4553-88f2-fcedf7a61a0b · outbound

This paper cites On the convergence of fedavg on non-iid data,.

Continual Learning with Support Boundary Experience Blending On the convergence of fedavg on non-iid data,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:42:23.394240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T10:42:23.200213Z digest=sha256:aca82c785fba8866f3475caa14442ccc8d4dfc0b8b8f24a95e8e1e7de3195c69

Observation c36825e5-a96f-4a9e-b0d6-4de873710f61 · outbound

This paper cites Revisiting class-incremental learning with pre-trained models: Generalizabilityandadaptivityareallyouneed,.

Continual Learning with Support Boundary Experience Blending Revisiting class-incremental learning with pre-trained models: Generalizabilityandadaptivityareallyouneed,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:42:23.375209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T10:42:23.205200Z digest=sha256:0f5f3683f1a5f96e3e5e101bdb284d8b9dc47395cab3bebf265e32c0a8a053af

Observation 7527b9a6-808f-4300-81bf-dfc1da2336c5 · outbound

This paper cites First session adaptation: A strong replay-free baseline for class-incremental learning,.

Continual Learning with Support Boundary Experience Blending First session adaptation: A strong replay-free baseline for class-incremental learning,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:42:23.355194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T10:42:23.211297Z digest=sha256:a862bbcc462408ccac9489ddd71109e5ba9c81cbd272efc97072716bad2fd4b3

Observation 7b5d5cd7-290e-4b0a-8223-bf53f2af2dfa · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Continual Learning with Support Boundary Experience Blending Learning transferable visual models from natural language supervision,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:42:23.337575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T10:42:23.216230Z digest=sha256:773d25345276a99546e6ed0a1c8546cb6bf4d518d55408198e0113eb5c5358ea

Observation 9603fc85-0814-49bc-bfbf-8566a888e5f2 · outbound

This paper cites Predicting the generalization gap in deep networks with margin distribu- tions,.

Continual Learning with Support Boundary Experience Blending Predicting the generalization gap in deep networks with margin distribu- tions,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:42:23.317724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T10:42:23.221169Z digest=sha256:27702895f8797713c492c6bd7e405b0a848cf84866831dc8648c7bb2d2397109

Observation 321fd581-4eb1-4db9-8f60-8a045de0adad · outbound

This paper cites Gradient episodic memory for continual learning,.

Continual Learning with Support Boundary Experience Blending Gradient episodic memory for continual learning,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:42:23.298366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T10:42:23.237199Z digest=sha256:6e404e04dcaa1d5e95368d93ca9dc3c91a2d70cc8e9cb565526d9343fff9b820

Pith citing papers

No inbound Pith citation observations are available.