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Paper Citation Record · LEDGER

A Comprehensive Survey of Continual Learning: Theory, Method and Application

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:2302.00487.

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

pith.paper-citation-record.v1
2302.00487 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:11:46.098179Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

57
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0783ca8c-be0b-408f-9a5c-003c2c00afc3 · inbound

Voyager: An Open-Ended Embodied Agent with Large Language Models cites this paper.

Voyager: An Open-Ended Embodied Agent with Large Language Models A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:11:41.075775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T13:11:40.995345Z digest=sha256:e2f80b7c9c196e3c78e68d7aab6eeaa64a0c24705803b1638e21a6206030794c

Observation 48825c96-c3a7-4c1c-8107-59426d0b7a2d · inbound

The Rise and Potential of Large Language Model Based Agents: A Survey cites this paper.

The Rise and Potential of Large Language Model Based Agents: A Survey A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 198

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:47:46.525846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T10:47:44.152066Z digest=sha256:7bfec1c6c98c115428ff438da8eb270b0ed2e991f2e28152c5c66ae0a3daeca4

Observation d020ca52-96ca-4cf7-b4c8-21d4350f1402 · inbound

The impact of allocation strategies in subset learning on the expressive power of neural networks cites this paper.

The impact of allocation strategies in subset learning on the expressive power of neural networks A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 48

Resolution
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no resolver link, observed 2026-08-08T16:11:46.098179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:46.098179Z digest=sha256:c722703916c9f098138c3a910065796a29a2cd80ce6073458592704ff4ba9a4a

Observation 091926fb-5aed-4f8e-8173-bf20cdf9fd3b · inbound

Information-Theoretic Complementary Prompts for Improved Continual Text Classification cites this paper.

Information-Theoretic Complementary Prompts for Improved Continual Text Classification A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 21

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unresolved
no resolver link, observed 2026-08-07T13:49:52.323504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:49:52.323504Z digest=sha256:8cc2a8f1fe7efc4f68022c0bada2b27b26a73a6fe3f1e818c1b666ddb52a78db

Observation 3ce476bf-331d-4483-98d5-c0e46d9248c5 · inbound

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates cites this paper.

Continual Learning Beyond Experience Rehearsal and Full Model Surrogates A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:45.961443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:26:45.961443Z digest=sha256:5bf59ebfba1c0656844852173e23c087121802ca48164f61ddadb4f36f6dce2b

Observation 69e6b191-89b2-49f7-b781-c31d73f1c176 · inbound

Continual Speech Learning with Fused Speech Features cites this paper.

Continual Speech Learning with Fused Speech Features A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T11:46:58.627843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:46:58.627843Z digest=sha256:c1c82d052449c4702b05215494d9ea8c474b0b9c8e13bfb82e2acbd6080a8641

Observation 78991926-8a40-4d47-be57-cb2dd70f66b8 · inbound

Dealing with the Evil Twins: Improving Random Augmentation by Addressing Catastrophic Forgetting of Diverse Augmentations cites this paper.

Dealing with the Evil Twins: Improving Random Augmentation by Addressing Catastrophic Forgetting of Diverse Augmentations A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:41.294412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:20:41.294412Z digest=sha256:1a02a0ceae6ad1f6724f7df5736252b5e40ed790419d19c72fb49f540332b4ad

Observation cc720ab7-6198-4cd2-99a6-7a9d54ae007e · inbound

Integrating Traditional Technical Analysis with AI: A Multi-Agent LLM-Based Approach to Stock Market Forecasting cites this paper.

Integrating Traditional Technical Analysis with AI: A Multi-Agent LLM-Based Approach to Stock Market Forecasting A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 31

Resolution
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no resolver link, observed 2026-08-06T23:42:00.154182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:42:00.154182Z digest=sha256:26fc21fb684dd67ab524714db17e9b7e224e9aacf23b4fa37e3f412f52ae3c48

Observation 5c8a1017-73f4-4f2c-9e4d-a780ab36782d · inbound

Infinite Video Understanding cites this paper.

Infinite Video Understanding A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 41

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no resolver link, observed 2026-08-06T18:10:13.775787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:10:13.775787Z digest=sha256:4d947d47e4bdc265ebbd98659fbf35fe92af187a38843c30bcacbb22720bacaf

Observation bb473f65-0058-45f6-a136-199cc5c07277 · inbound

Learning to Quantize and Precode in Massive MIMO Systems for Energy Reduction: a Graph Neural Network Approach cites this paper.

Learning to Quantize and Precode in Massive MIMO Systems for Energy Reduction: a Graph Neural Network Approach A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 50

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no resolver link, observed 2026-08-06T17:43:52.345874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:52.345874Z digest=sha256:d11b595346e19b44f7adb2ffb749e43376ddab7b8e91eb43bbad87133e3eb90b

Observation 53ef48ba-b08a-4df8-9eba-d0378bb05493 · inbound

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay cites this paper.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-05T14:31:16.890650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:31:16.890650Z digest=sha256:03d9ea13a6bce9fd9da6e0bf5b4cc69207b45eb354a823f00faa3a13d5ac225a

Observation 349866e9-fe44-422b-9dd9-1bc3a565b8ab · inbound

EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle cites this paper.

EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-18T06:20:58.375479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T06:19:44.360734Z digest=sha256:18c213d95d77144160a0b7d9a34fae5eaa0da6a4fd585585fc38988cf77bfb08

Observation 4b8a6ac2-3da2-4857-a9c8-25e7fbb06c29 · inbound

EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle cites this paper.

EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-21T20:50:36.435421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T20:50:06.642976Z digest=sha256:1bc4821a8b556469ebe9225e6d4e867b229ba2825b26e84fbee47c2d24f9eed5

Observation 865da798-765a-438c-9688-1ccc626059c0 · inbound

LIFE -- an energy efficient advanced continual learning agentic AI framework for frontier systems cites this paper.

LIFE -- an energy efficient advanced continual learning agentic AI framework for frontier systems A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 3

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verified exact
arxiv_id, observed 2026-05-10T15:50:33.827206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:48:38.759167Z digest=sha256:0332e548ed1694612b86aa722ea11fc6991eb1502a778732a308e7b24faa214c

Observation bf219f01-20a0-45e2-aa11-1a28b6da6161 · inbound

Incremental learning for audio classification with Hebbian Deep Neural Networks cites this paper.

Incremental learning for audio classification with Hebbian Deep Neural Networks A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 26

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verified exact
arxiv_id, observed 2026-05-11T12:26:05.322562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T03:40:24.759902Z digest=sha256:b39a63a3131b5003634eebe19afed68bf9654bd1a45d5a843f0f1e81d1222001

Observation 7be57329-0dc9-47e3-9070-10ca64880384 · inbound

You Don't Need Public Tests to Generate Correct Code cites this paper.

You Don't Need Public Tests to Generate Correct Code A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 19

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malformed identifier
arxiv_id, observed 2026-05-11T14:51:07.672661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T20:57:43.802195Z digest=sha256:2c0a99b9bd804898d366f7b21096388ca3473574b0c5052e4fb0a02361e2ff6c

Observation 04439e00-3f10-4566-9758-40f42cde48e3 · inbound

HEDP: A Hybrid Energy-Distance Prompt-based Framework for Domain Incremental Learning cites this paper.

HEDP: A Hybrid Energy-Distance Prompt-based Framework for Domain Incremental Learning A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 20

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metadata mismatch
arxiv_id, observed 2026-05-11T19:36:15.055805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T11:25:01.780099Z digest=sha256:088feba099bf19aa379cbd1bd93459a3e8a747427e92d8f166b94c98a25bdb50

Observation 836de5af-6012-4cf5-87ea-92f910e47978 · inbound

Rotation-Preserving Supervised Fine-Tuning cites this paper.

Rotation-Preserving Supervised Fine-Tuning A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:27:24.438531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:f45bebee31a4e2c51d1d345928dd918cd613698fd4e024acbf93c8c10fa1c16f

Observation 16a49020-d308-421b-805a-637fdbc5c283 · inbound

TFGN: Task-Free, Replay-Free Continual Pre-Training Without Catastrophic Forgetting at LLM Scale cites this paper.

TFGN: Task-Free, Replay-Free Continual Pre-Training Without Catastrophic Forgetting at LLM Scale A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-19T17:07:41.612814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T17:06:12.280460Z digest=sha256:f0f36c9b2de78563de730d26e4bc2263884e4a273d7fe13585f3341e0829a174

Observation bd5501eb-311d-4fff-95d8-6bb9911f44db · inbound

Hybrid Edge-HPC Systems for Low-Latency Data-Driven Inference cites this paper.

Hybrid Edge-HPC Systems for Low-Latency Data-Driven Inference A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 24

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verified exact
arxiv_id, observed 2026-05-21T06:19:42.084580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T06:14:46.763951Z digest=sha256:fb5066dff5573dcd1c75a09e844ba2ffc17f10fb6665d16eaaae68f020281b8b

Observation b9882219-03c9-4c10-acf9-cc43e34bacfb · inbound

Hybrid Edge-HPC Systems for Low-Latency Data-Driven Inference cites this paper.

Hybrid Edge-HPC Systems for Low-Latency Data-Driven Inference A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 24

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verified exact
arxiv_id, observed 2026-05-25T05:45:24.461409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-25T05:42:28.111973Z digest=sha256:6d83eb318ead11d41131ae81ceb9e8af2091d806609a25cdac06b5143f23ff57

Observation 251165b9-b237-4ec4-a9eb-8b07b7125252 · inbound

Anytime Training with Schedule-Free Spectral Optimization cites this paper.

Anytime Training with Schedule-Free Spectral Optimization A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 13

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verified exact
arxiv_id, observed 2026-05-25T05:40:24.475359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-25T05:38:16.958574Z digest=sha256:476f905e739453be94614f0dd44d03cd7715e9e921b19aee6fdd7f44af16a000

Observation cca70499-aceb-41a6-a839-02e68723bb91 · inbound

Mask the Target: A Plug-and-Play Regularizer Against LoRA Forgetting cites this paper.

Mask the Target: A Plug-and-Play Regularizer Against LoRA Forgetting A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 53

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verified exact
arxiv_id, observed 2026-06-29T07:43:14.048243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T07:36:24.624420Z digest=sha256:9573c558e248008a010e3c6ef94dfd0a6ed04fcbbab70ee7b37b4005f8e9354d

Observation 16ca7444-73a9-4e4c-82b8-10d0c717e18e · inbound

Comprehensive AI governance requires addressing non-model gains cites this paper.

Comprehensive AI governance requires addressing non-model gains A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 90

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metadata mismatch
arxiv_id, observed 2026-07-01T08:15:31.709943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-01T08:11:23.860723Z digest=sha256:0ee8f19d4ecbd05bfe2d50fe6fe70cca7f915b387cd02995022be254c7e50897

Observation b193f838-b373-437d-88d3-851526a52d1e · inbound

Unsupervised Continual Clustering via Forward-Backward Knowledge Distillation cites this paper.

Unsupervised Continual Clustering via Forward-Backward Knowledge Distillation A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 44

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metadata mismatch
arxiv_id, observed 2026-07-02T16:37:09.253065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T22:33:12.152388Z digest=sha256:f87c62b02ec9e7ec709a66fdb21c0713acbb272298dc4c7300728c7798387bad

Observation e179c700-a2c5-4f49-8b16-291a4587ced3 · inbound

Domain-incremental audio classification using domain-specific experts and prototype classifier cites this paper.

Domain-incremental audio classification using domain-specific experts and prototype classifier A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-04T11:49:50.943567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T07:32:09.956510Z digest=sha256:bdfdaee09cfc0d4451adebdcaffd89984b826a593f695c67097547730993f47f

Observation 06ed4eb8-986f-4034-944b-378ab5f7b085 · inbound

ReCoLoRA: Spectrum-Aware Recursive Consolidation for Continual LLM Fine-Tuning cites this paper.

ReCoLoRA: Spectrum-Aware Recursive Consolidation for Continual LLM Fine-Tuning A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 2

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unresolved
no resolver link, observed 2026-07-11T23:28:26.009765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:28:26.009765Z digest=sha256:c6274d00565cd50e70f724b92231574cf3e8397e21bbd0a14cdb9e11329af975

Observation 9c53dd54-7c89-4b38-973d-c2acaefc40f0 · inbound

Continual Learning in Transition cites this paper.

Continual Learning in Transition A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T12:23:57.728002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:23:57.728002Z digest=sha256:8f86e6915e87a3aa1339842854ed6c1c4067fb443c1c74ce96afb72c54749472