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Paper Citation Record · LEDGER

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

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 41 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 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 41 of 41 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:08:17.748540Z

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

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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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T13:11:40.995345Z digest=sha256:2e97e71b15fb091a782a4479642b2a291862ed1dabb1e8be814654ee078ce226

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T10:47:44.152066Z digest=sha256:f238110f98b436976052e9274c7e428d8ef61a41d2f1bcf3c0dc6d009c953068

Observation b3017ada-96bc-49f8-8f42-93bf4b1ee0ba · inbound

Stable Continual Reinforcement Learning via Diffusion-based Trajectory Replay cites this paper.

Stable Continual Reinforcement Learning via Diffusion-based Trajectory Replay A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 2020

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source=pdf_text observed=2026-08-12T19:21:15.778771Z digest=sha256:f8d62b92883d1463927c869f2363cc179e52ff1cf40cb6c73671688c9e85d479

Observation 12a9f7a2-dde5-474c-a5b5-cc499e143fc0 · inbound

Dealing with Synthetic Data Contamination in Online Continual Learning cites this paper.

Dealing with Synthetic Data Contamination in Online Continual Learning A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 41

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no resolver link, observed 2026-08-12T15:53:14.045368Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:53:14.045368Z digest=sha256:1ee8e79992e04cb94152ffe3d00b8f2bf1b02ac55b0605008fc22131f4fdb725

Observation b4e07829-0e75-460c-b752-d65fbe8009a0 · inbound

Continual Deep Reinforcement Learning with Task-Agnostic Policy Distillation cites this paper.

Continual Deep Reinforcement Learning with Task-Agnostic Policy Distillation A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 40

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:04:33.446520Z digest=sha256:265af8d96cc5ca308680523f0910dcaa00e4d2d694444f62fa226ee52a5a088f

Observation 94c0e392-8f2e-44d7-a74c-201eb51a799e · inbound

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection cites this paper.

SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 14

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no resolver link, observed 2026-08-12T04:58:03.316737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:58:03.316737Z digest=sha256:18efe35a92e89f71ca4ffcc5f65fdf60a8c44b7768b1dd557dc9fe01162f8499

Observation 1f907320-e80f-462b-9255-8318e957c8e8 · inbound

Towards Macro-AUC oriented Imbalanced Multi-Label Continual Learning cites this paper.

Towards Macro-AUC oriented Imbalanced Multi-Label Continual Learning A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 43

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no resolver link, observed 2026-08-11T04:59:33.028549Z

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source=arxiv_source observed=2026-08-11T04:59:33.028549Z digest=sha256:d337c6c5b43f0d81e195cc373864ea40f6bda908077456839d8e5535b3d003cb

Observation 0aacf460-7d4c-43ab-9c4a-43688a59400c · inbound

ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think cites this paper.

ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 2022

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source=pdf_text observed=2026-08-10T22:41:42.416225Z digest=sha256:a6e517ba819c63dfbcbed47dcf0fcbcb4988cdf7adf3eea6f3c46a13899f6b03

Observation 2be67bde-b115-42b0-b167-2cef800c80dd · inbound

Foundations of Large Language Models cites this paper.

Foundations of Large Language Models A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 248

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source=arxiv_source observed=2026-08-10T20:14:59.328791Z digest=sha256:56e22af511fa0b31d936e556bf5e41ef75f4b9f73bc53485fed01c3b66848dce

Observation 15be5cc9-f2f1-4bac-afa0-50825418b0d8 · inbound

Develop AI Agents for System Engineering in Factorio cites this paper.

Develop AI Agents for System Engineering in Factorio A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 48

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no resolver link, observed 2026-08-09T15:09:20.599396Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T15:09:20.599396Z digest=sha256:b5b404f5f19c971bd31e452d4082b537cc05239bea1134c8dde400ad7d03a95d

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:46.098179Z digest=sha256:6eff4681a876599a7f36f430c94efa9254fe3a0c7d3f5827dcc51381cee59979

Observation f93fdc06-e02f-4933-8113-ed0fb60de261 · inbound

Efficient Parameter Adaptation for Multi-Modal Medical Image Segmentation and Prognosis cites this paper.

Efficient Parameter Adaptation for Multi-Modal Medical Image Segmentation and Prognosis A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 66

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:08:17.748540Z digest=sha256:109b2844f9f9b35e65fe0863b3722fed5bc7bdc18838381d888446e317784e8a

Observation 150a233b-3860-499a-b7d6-7630482ffb71 · inbound

Bayesian Federated Learning for Continual Training cites this paper.

Bayesian Federated Learning for Continual Training A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 18

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no resolver link, observed 2026-08-16T11:36:43.353228Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:36:43.353228Z digest=sha256:aa328d8976482b7b45f6818f1e96224c735bfbf8e218d735a98336ce5c7d462e

Observation f71e5723-8ec0-4b36-9433-a13ebb4ee8d1 · inbound

SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices cites this paper.

SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 10

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no resolver link, observed 2026-08-16T04:47:42.219494Z

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source=pdf_text observed=2026-08-16T04:47:42.219494Z digest=sha256:1de3bba0d4da9655044ce079ec4c8f38be99b92f787aac2392045dc3fb853a87

Observation 245eb1cf-096e-44af-b060-9da2b18229c3 · inbound

Scalable Strategies for Continual Learning with Replay cites this paper.

Scalable Strategies for Continual Learning with Replay A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 43

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no resolver link, observed 2026-08-15T20:36:39.913971Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:36:39.913971Z digest=sha256:6042781833438cac1da2a068a827fd052f3fafdbcde38895967aba9727b0e3fc

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:49:52.323504Z digest=sha256:fd4675e5fcd30c99cfc2fd565e214c51f8d9129006017e279aeff37bfcf50028

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

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source=arxiv_source observed=2026-08-07T13:26:45.961443Z digest=sha256:8827229877e9565cd5d67793c31887d745e5ade34ca50df15dfa426164b88b36

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:46:58.627843Z digest=sha256:3e238787d691bedf5af35c33f5719612cfd7a55991bde29436ea51b1f23a79a5

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

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source=pdf_text observed=2026-08-07T05:20:41.294412Z digest=sha256:e20e9fd448afe95c20908a29bcece4a1fb32b96c619296249659846fe876a7c9

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:42:00.154182Z digest=sha256:6ac4ef506d6269ad7ec11dd1bd00f5da1590aed3c598000671dcac7eb3ee8dfb

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:10:13.775787Z digest=sha256:7f521e36098c1239f6111d03e664303055bec6d7e59304941567d92ed71315ac

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:43:52.345874Z digest=sha256:b443069f2813ff0eb9db37695f0b3258e625ee3f6471d640b291a0ca54ad4b92

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:31:16.890650Z digest=sha256:df5d11c8248daf6fe6a8d55b2f48637422d9485d5ff81158f82193ea375b0015

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

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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-18T06:19:44.360734Z digest=sha256:b9f6610045f77a50c7fdd539983e3224903bb33c1f137bdd7f71bb12382c8cbc

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T20:50:06.642976Z digest=sha256:9bf2b8986ef19a3b3c17bf069a2a6f0e95797f22ba3b908345cfa82766b4ab9d

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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T15:48:38.759167Z digest=sha256:35ec7f1ddaf0a375c09d5c44884907c1793c677612dfe664a495a81ecd06100b

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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T03:40:24.759902Z digest=sha256:f6ac92115339a0790c1b20e70584d4fba50af6e85ea2090db29a7b7c1ba3f5df

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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-09T20:57:43.802195Z digest=sha256:ba0536f7f6a6566a66dc62ddf290fcbed88130bb3bcb953c2a1032eaf029ce56

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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-08T11:25:01.780099Z digest=sha256:65384cef47507670f297d6019cb8936d8a21fa467b174cd364f74142c122ebac

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

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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:c1409232eea4a32e37d8637e429778b9d31e64e2320e9225080138935e03d7c9

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-19T17:06:12.280460Z digest=sha256:241ddbd7ab31de598f72ba131b1ac36b8d3cf118ba12489821bef8028c932e48

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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T06:14:46.763951Z digest=sha256:e1aa637358eeb5f077fbc831b0313bd689962ba9c0df3287830115f3823dedb9

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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-25T05:42:28.111973Z digest=sha256:6a0783d09a229754e5436d5878a26c9c812642a65f591240ec6a043ee1ca1396

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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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-25T05:38:16.958574Z digest=sha256:b5e80b5c783b7ebb420751ec3bf05c7bb93594d319f4c71a987a69f1fbb9ba1e

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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T07:36:24.624420Z digest=sha256:a906ca115823fa80c478fe12e268e553e58063b6fd2e127a108a71722bcf5046

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-07-01T08:11:23.860723Z digest=sha256:4743f017b27251c67d522a0a69dff8d70eb0cdb4a42daf124f1d1fb53a7d4fb9

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

Resolution
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T22:33:12.152388Z digest=sha256:a88ce82e46dca87d6c2425b26060d60a8cd771d7b53f3d4460e5585dc2c0f512

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-26T07:32:09.956510Z digest=sha256:c8b7640f39d958fb2c869ce6b7b86eea000c7003f05e581a72fe8af4048c00d6

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

Resolution
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=sha256:8376e415bece1a13e1c2f4bd522fc19c23a35c61f12ebb02eb73ff70fcbe0d7d

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=sha256:5db270987045e03f90f415805c66c675e0b5b906c77b0a754a82fe6d288c6f75

Observation a6ace78e-3895-47a1-8ba2-af216a6f3911 · 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 2026-08-15T14:38:34.629422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:38:34.629422Z digest=sha256:70adaf1edd8f14577f908e881a22e8bc5d0a38f3e6aff558bbcb53b5ffa60e22