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Paper Citation Record · LEDGER

Continual Learning for Large Language Models: A Survey

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 45 inbound Pith citation observations for arXiv:2402.01364.

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

pith.paper-citation-record.v1
2402.01364 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 45 of 45 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 45 of 45 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T23:37:28.765591Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:29:15.805243Z

Reference resolution

0 of 0 outbound references displayed

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  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a366d8ec-e69d-4caa-aa29-b0e10018d33f · inbound

Plasticity Loss in Deep Reinforcement Learning: A Survey cites this paper.

Plasticity Loss in Deep Reinforcement Learning: A Survey Continual Learning for Large Language Models: A Survey

Reference 108

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arxiv_id, observed 2026-05-23T18:03:18.182461Z

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=2026-05-23T18:02:30.199552Z digest=sha256:f013c5456e04a4095a0353330825997b0002481ee12694bfdb2d21fe21e4e4d9

Observation c4bf6a63-b492-4314-9bd5-081f96ecbcc0 · inbound

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods cites this paper.

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods Continual Learning for Large Language Models: A Survey

Reference 253

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verified exact
arxiv_id, observed 2026-05-11T23:08:35.702804Z

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=2026-05-11T23:08:34.312466Z digest=sha256:e7d6a2fff7106e098babbdcbf04e1dbf37cd8c0d31d80327aa7a56a069cbcf5e

Observation 366b7fd0-d338-4d61-8664-b8213d15b214 · inbound

Efficient Few-Shot Continual Learning in Vision-Language Models cites this paper.

Efficient Few-Shot Continual Learning in Vision-Language Models Continual Learning for Large Language Models: A Survey

Reference 44

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no resolver link, observed 2026-08-08T23:37:28.765591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:37:28.765591Z digest=sha256:e515e5971e63ba6305f96ab61145f725e580fdabf1507748e9f966bfb14b0d78

Observation 0c8805af-1584-4276-9ae2-cf5b9fbdd591 · inbound

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation cites this paper.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Continual Learning for Large Language Models: A Survey

Reference 72

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no resolver link, observed 2026-08-08T13:02:23.620761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.620761Z digest=sha256:aecd5ea9c33ba2051546e8012f36bde60177f039724b958b99c962c379468173

Observation f2549d4f-86c9-4f5e-bba8-49617eedade3 · inbound

Continuous Self-Improvement of Large Language Models by Test-time Training with Verifier-Driven Sample Selection cites this paper.

Continuous Self-Improvement of Large Language Models by Test-time Training with Verifier-Driven Sample Selection Continual Learning for Large Language Models: A Survey

Reference 16

Resolution
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no resolver link, observed 2026-08-07T14:17:44.344757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:44.344757Z digest=sha256:8d1efc71116b54fc5a7473b73f7ab91f7d20aa0c8136d3edbe48b06fc58cc4a4

Observation 456c8a55-bdc7-4a0e-aca0-dcc8c5803e59 · inbound

Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn cites this paper.

Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn Continual Learning for Large Language Models: A Survey

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T12:07:25.660754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:07:25.660754Z digest=sha256:4ffb9349393d71cd1d183c6dc6a145d0039bedaffa07b8b37194b74233b31e45

Observation 563017a7-53f1-4f38-8427-44b697a05264 · inbound

Pitfalls in Evaluating Language Model Forecasters cites this paper.

Pitfalls in Evaluating Language Model Forecasters Continual Learning for Large Language Models: A Survey

Reference 34

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no resolver link, observed 2026-08-07T12:03:13.143938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:03:13.143938Z digest=sha256:7a7095628c752eb76ea0477681b034cb5434f3e49f9f5e25cdccb91d17b297c1

Observation 726e082f-ed53-489c-8209-30c6a92a0c51 · inbound

Continual Speech Learning with Fused Speech Features cites this paper.

Continual Speech Learning with Fused Speech Features Continual Learning for Large Language Models: A Survey

Reference 8

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no resolver link, observed 2026-08-07T11:46:58.525073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:46:58.525073Z digest=sha256:38fc1312fcda40413ee82252851bc785c6bdc85ba6f844efb52d7690d82d3c8a

Observation e6a6860c-0706-4fb5-9b00-4d29d8717c77 · inbound

Is Extending Modality The Right Path Towards Omni-Modality? cites this paper.

Is Extending Modality The Right Path Towards Omni-Modality? Continual Learning for Large Language Models: A Survey

Reference 50

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no resolver link, observed 2026-08-07T11:36:40.908092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:36:40.908092Z digest=sha256:1ce7ad5054436bac08a3ab97e9a40dd9052b57b5bd113be047ca7982ddbf0fe2

Observation ab1cc3b8-1773-4cb9-915d-ca237cb47720 · inbound

Enhancing Multimodal Continual Instruction Tuning with BranchLoRA cites this paper.

Enhancing Multimodal Continual Instruction Tuning with BranchLoRA Continual Learning for Large Language Models: A Survey

Reference 42

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no resolver link, observed 2026-08-07T12:09:07.878789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:07.878789Z digest=sha256:44f265012f46e58bf50666df1044fac5dc8620edf3f78ee7423aeb59c0295799

Observation a4f34592-cbbc-4a33-8ab8-1bb339c86fae · inbound

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions cites this paper.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Continual Learning for Large Language Models: A Survey

Reference 67

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no resolver link, observed 2026-08-07T11:10:14.790774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:10:14.790774Z digest=sha256:8fabe1b97f38927d6feac22959b51bc63cb91e48e8ed9d6edb5d8c702c075cb7

Observation be5740b2-467d-4104-8125-18f233b571b6 · inbound

Table-r1: Self-supervised and Reinforcement Learning for Program-based Table Reasoning in Small Language Models cites this paper.

Table-r1: Self-supervised and Reinforcement Learning for Program-based Table Reasoning in Small Language Models Continual Learning for Large Language Models: A Survey

Reference 39

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no resolver link, observed 2026-08-07T06:03:45.938974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:45.938974Z digest=sha256:35f91e109a0a952a384d6a38f414e72ea7c36a16c610d0da0758a2ae06475dfd

Observation 930d14a3-00b3-4f7d-934b-e96036f0b139 · inbound

A Systematic Review of Poisoning Attacks Against Large Language Models cites this paper.

A Systematic Review of Poisoning Attacks Against Large Language Models Continual Learning for Large Language Models: A Survey

Reference 42

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no resolver link, observed 2026-08-07T05:59:33.962759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:59:33.962759Z digest=sha256:626345100263069cc2c5870c4e8e31e812a97e0ffa7eb8c568152b42566f2b0e

Observation cd3e91e7-638d-4646-b709-6e728d70096d · inbound

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond cites this paper.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Continual Learning for Large Language Models: A Survey

Reference 215

Resolution
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no resolver link, observed 2026-08-07T00:40:34.109256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:34.109256Z digest=sha256:faa63c8570297275443f27f0a85943dc49afe2f0321b74bdf01262458c412107

Observation 10af06ab-1c71-4686-9b39-c95862ac5a4d · inbound

Dynamic Context-oriented Decomposition for Task-aware Low-rank Adaptation with Less Forgetting and Faster Convergence cites this paper.

Dynamic Context-oriented Decomposition for Task-aware Low-rank Adaptation with Less Forgetting and Faster Convergence Continual Learning for Large Language Models: A Survey

Reference 75

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no resolver link, observed 2026-08-07T00:43:51.513729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:43:51.513729Z digest=sha256:615601a97628908605bb7948b5617cc598e733d4a6fbd41353ecbf7a8a5abea7

Observation 9e3fc6f8-f047-4105-a42d-6c75416d9d4e · inbound

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding cites this paper.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Continual Learning for Large Language Models: A Survey

Reference 31

Resolution
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no resolver link, observed 2026-08-06T21:20:09.686126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:09.686126Z digest=sha256:c1400487c25e28d09bc0f0706d5afe23ac0b16cf367702f691b8c86e39530e72

Observation 8c2097e5-e5b9-4a6e-9836-95c69bde9327 · inbound

EMERGE: A Benchmark for Updating Knowledge Graphs with Emerging Textual Knowledge cites this paper.

EMERGE: A Benchmark for Updating Knowledge Graphs with Emerging Textual Knowledge Continual Learning for Large Language Models: A Survey

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-19T06:07:07.552746Z

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=2026-05-19T06:03:40.874012Z digest=sha256:cffd5d245f322bc1177ea789ff6b297bb066c75cdc4f5103fbad2297e7291944

Observation 5ea87402-3417-49e2-a15c-424e739cb0c9 · inbound

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment cites this paper.

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Continual Learning for Large Language Models: A Survey

Reference 83

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unresolved
no resolver link, observed 2026-08-05T10:34:46.795186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:34:46.795186Z digest=sha256:d5a977121bf44452646275d9bfa030a8d03a7449fb3b7b6c52608bbd4c978d6b

Observation 28f4312b-c361-4034-9a6a-89568767f33f · inbound

LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference Optimization cites this paper.

LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference Optimization Continual Learning for Large Language Models: A Survey

Reference 31

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verified exact
arxiv_id, observed 2026-05-18T14:51:30.407863Z

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=2026-05-18T14:46:45.598080Z digest=sha256:0abbdc7ad30db001789513ad6b798657b1ed3681811638ea8842be0ca5d833b0

Observation d2e18458-78fa-4378-9fe4-b6d48b571ed4 · inbound

Retaining by Doing: The Role of On-Policy Data in Mitigating Forgetting cites this paper.

Retaining by Doing: The Role of On-Policy Data in Mitigating Forgetting Continual Learning for Large Language Models: A Survey

Reference 40

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unresolved
no resolver link, observed 2026-08-04T08:49:34.512955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:49:34.512955Z digest=sha256:4de5f9a9469c3460ff906b2a140d8a94a249e8fe8ce498821842db7ae398d08b

Observation 7b60eb24-951e-4d69-a78c-9266cfdd0597 · inbound

Preconditioned Test-Time Adaptation for Out-of-Distribution Debiasing in Narrative Generation cites this paper.

Preconditioned Test-Time Adaptation for Out-of-Distribution Debiasing in Narrative Generation Continual Learning for Large Language Models: A Survey

Reference 11

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metadata mismatch
arxiv_id, observed 2026-05-15T12:15:34.534939Z

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=2026-05-15T12:13:24.420641Z digest=sha256:21d33b13edfe55fe8998ec7fc1dc79ec95bced899a4aa80561e76d7f8c8e888e

Observation 54b9c9d7-a539-4086-b215-ee252f95fea7 · inbound

Preconditioned Test-Time Adaptation for Out-of-Distribution Debiasing in Narrative Generation cites this paper.

Preconditioned Test-Time Adaptation for Out-of-Distribution Debiasing in Narrative Generation Continual Learning for Large Language Models: A Survey

Reference 11

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unresolved
no resolver link, observed 2026-08-03T02:35:46.214786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:35:46.214786Z digest=sha256:0eb4e0d3b83ccc7b93f8174513f5470729fdce753a9f93e7e2b571d97af1e874

Observation fa03ab17-8281-456c-b66c-2a337552bed6 · inbound

The Agentification of Scientific Research: A Physicist's Perspective cites this paper.

The Agentification of Scientific Research: A Physicist's Perspective Continual Learning for Large Language Models: A Survey

Reference 31

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verified exact
arxiv_id, observed 2026-05-10T11:15:11.126259Z

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=2026-05-10T11:12:32.165086Z digest=sha256:bb0ed5f2e363e7dd87472d468cd0ea4ae11290362383d19f33e26d20ab5f4488

Observation db95e6fe-35b0-4dd0-9d6f-edc70e1039b2 · inbound

Shortcut Solutions Learned by Transformers Impair Continual Compositional Reasoning cites this paper.

Shortcut Solutions Learned by Transformers Impair Continual Compositional Reasoning Continual Learning for Large Language Models: A Survey

Reference 15

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verified exact
arxiv_id, observed 2026-05-11T18:06:05.490509Z

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=2026-05-08T16:42:08.322419Z digest=sha256:772d8afa5dd9c906a1e5f9bf1bc87976f976b5c43896f5482df6e6723851307a

Observation 3f515dd3-2789-41dc-bd29-38f0e1c64013 · inbound

Phoenix-VL 1.5 Medium Technical Report cites this paper.

Phoenix-VL 1.5 Medium Technical Report Continual Learning for Large Language Models: A Survey

Reference 24

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metadata mismatch
arxiv_id, observed 2026-05-12T06:01:24.882774Z

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=2026-05-12T04:41:27.144815Z digest=sha256:8e1e3a5aea3c8ecf062c043dce5f00ba63358b1ef1dbc89175a7af7b70766a03

Observation 2ced553a-6262-4b05-a0a2-db8638a237f9 · inbound

Dynamic Cross-Modal Prompt Generation for Multimodal Continual Instruction Tuning cites this paper.

Dynamic Cross-Modal Prompt Generation for Multimodal Continual Instruction Tuning Continual Learning for Large Language Models: A Survey

Reference 43

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verified exact
arxiv_id, observed 2026-05-12T07:21:25.195079Z

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=2026-05-12T03:27:45.784361Z digest=sha256:892e12287531bd72ac32bd04cafd755da274e1acaa9f766e934b5aa0c39ed4f2

Observation 3f3b1322-ce79-46db-bdc2-666e0c76d7ff · inbound

From Text to Voice: A Reproducible and Verifiable Framework for Evaluating Tool Calling LLM Agents cites this paper.

From Text to Voice: A Reproducible and Verifiable Framework for Evaluating Tool Calling LLM Agents Continual Learning for Large Language Models: A Survey

Reference 43

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metadata mismatch
arxiv_id, observed 2026-05-21T08:49:53.642624Z

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=2026-05-21T08:45:56.550821Z digest=sha256:e1b3962e6bf0484754457559f57607f98fb668c04977c9a5b8251f12889dc357

Observation b022a7f4-3761-46c0-ac90-1a1793432e62 · inbound

MeMo: Memory as a Model cites this paper.

MeMo: Memory as a Model Continual Learning for Large Language Models: A Survey

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-05-15T03:19:43.451662Z

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=2026-05-15T03:17:23.202604Z digest=sha256:9956421f5156316cd28389b1dd84f366559041e3340a6b735806eeeda9532f34

Observation 2f75d670-cf81-4465-a3db-238bbb9110b0 · inbound

MeMo: Memory as a Model cites this paper.

MeMo: Memory as a Model Continual Learning for Large Language Models: A Survey

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-05-21T08:39:53.689378Z

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=2026-05-21T08:36:31.022046Z digest=sha256:bad430e3ea0e59929b8f5e4ec218d5d4ebf14bc95f30ec0d4bac2c728c4c249d

Observation 75deadf3-aa15-4bbc-9f59-e0fe92afc671 · inbound

Is One Score Enough? Rethinking the Evaluation of Sequentially Evolving LLM Memory cites this paper.

Is One Score Enough? Rethinking the Evaluation of Sequentially Evolving LLM Memory Continual Learning for Large Language Models: A Survey

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-19T16:47:40.484917Z

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=2026-05-19T16:43:37.472644Z digest=sha256:baa7332c98351f996697ba996d2757926b960358d9ab153ce142e80ad90d77d4

Observation 1d4def46-75f5-4171-a7f9-92dafd500dcb · inbound

MasFACT: Continual Multi-Agent Topology Learning via Geometry-Aware Posterior Transfer cites this paper.

MasFACT: Continual Multi-Agent Topology Learning via Geometry-Aware Posterior Transfer Continual Learning for Large Language Models: A Survey

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:38:21.612825Z

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=2026-05-20T14:35:46.376752Z digest=sha256:534b2242c626856c52e3f9a2b52f7c45b3433e6cebcc8e8635a75b71d2fc9317

Observation 0e0b418c-0ea1-42f1-94f0-5fc70f223110 · inbound

MasFACT: Continual Multi-Agent Topology Learning via Geometry-Aware Posterior Transfer cites this paper.

MasFACT: Continual Multi-Agent Topology Learning via Geometry-Aware Posterior Transfer Continual Learning for Large Language Models: A Survey

Reference 42

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unresolved
no resolver link, observed 2026-07-12T16:38:30.296706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T16:38:30.296706Z digest=sha256:d3201af26407868210c41eaac5f60fa067f866cebc92aec946ed14ca941ff0e8

Observation efddcd3c-038b-4381-bd2f-b9666a90bfeb · inbound

Forgetting in Language Models: Capacity, Optimization, and Self-Generated Replay cites this paper.

Forgetting in Language Models: Capacity, Optimization, and Self-Generated Replay Continual Learning for Large Language Models: A Survey

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-06-29T23:24:01.944699Z

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=2026-06-29T23:15:45.174086Z digest=sha256:a49b5e8be0f3dbeb320ba98bd868abfa92816393ca81019323142368b09962a9

Observation 11f9169f-12ac-42c4-983c-554a2773051e · inbound

MADS: Model-Aware Diverse Core Set Selection for Instruction Tuning cites this paper.

MADS: Model-Aware Diverse Core Set Selection for Instruction Tuning Continual Learning for Large Language Models: A Survey

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T19:16:01.026834Z

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=2026-06-28T22:53:48.040141Z digest=sha256:e1969b8fe966e08ea27574be42de35a476aa897f1fb1e80069d46dd65c92e792

Observation 4c654f57-05d5-4083-8d32-931094b85822 · inbound

Rethinking Continual Experience Internalization for Self-Evolving LLM Agents cites this paper.

Rethinking Continual Experience Internalization for Self-Evolving LLM Agents Continual Learning for Large Language Models: A Survey

Reference 74

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T07:56:47.817667Z

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=2026-06-28T06:29:11.398007Z digest=sha256:11635602a0c73dce5ba2601aa4c0e2bee75b980760b62da737c960d5a89041d7

Observation 7dc1f29e-3501-4036-b547-1dbac22bf3ed · inbound

RECAP: Regression Evaluation for Continual Adaptation of Prompts cites this paper.

RECAP: Regression Evaluation for Continual Adaptation of Prompts Continual Learning for Large Language Models: A Survey

Reference 19

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metadata mismatch
arxiv_id, observed 2026-07-02T12:06:56.294379Z

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=2026-06-28T02:24:52.140361Z digest=sha256:0f10072c8a4a6e7e59a2a7eba4f03b723e892398f6bdcd0db6fc1dfdf3c7360a

Observation 9d0e9491-fb4b-48cc-916a-e5d72961f533 · inbound

Sparse Subspace-to-Expert Sharing for Task-Agnostic Continual Learning cites this paper.

Sparse Subspace-to-Expert Sharing for Task-Agnostic Continual Learning Continual Learning for Large Language Models: A Survey

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:57:10.231994Z

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=2026-06-27T22:15:36.264240Z digest=sha256:05259954f2eac8c213035687663cc3003e8451b79339676f0f924705237bf0d5

Observation a875d461-13d3-4c59-93f0-3dfeb8f80d25 · inbound

Repeated post-training is not Self-improving: Diagnosing Scientific Amnesia in Continual DPO Pipelines cites this paper.

Repeated post-training is not Self-improving: Diagnosing Scientific Amnesia in Continual DPO Pipelines Continual Learning for Large Language Models: A Survey

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T00:29:15.808388Z

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=2026-06-26T21:12:05.209407Z digest=sha256:0b97fe1c738552c9bfd432c4ce708bec389880dec290c8bc11a889289033dcd9

Observation 2b0648be-0ed1-4b3f-b7a8-bed24cfee717 · inbound

LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning cites this paper.

LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning Continual Learning for Large Language Models: A Survey

Reference 116

Resolution
verified exact
arxiv_id, observed 2026-07-03T16:48:39.951343Z

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=2026-06-27T05:02:18.347642Z digest=sha256:81085476b34fa1362be908dfddd02aa97fef693ca120f873c97b3179f86ed472

Observation 2bb0b629-56ad-4bf3-a393-3ba9bac79889 · inbound

MedEvoEval: Evaluating Continual Evolution of Doctor Agents through Simulated Clinical Episodes cites this paper.

MedEvoEval: Evaluating Continual Evolution of Doctor Agents through Simulated Clinical Episodes Continual Learning for Large Language Models: A Survey

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-06-30T09:34:34.406343Z

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=2026-06-30T09:33:50.358159Z digest=sha256:f75398bd01c8cdb2ab36ed9887e7df0f4599c0978afb9482c838b351aa95b0f3

Observation 6838d90f-b5c3-4ccc-9964-7260f6369d19 · inbound

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

ReCoLoRA: Spectrum-Aware Recursive Consolidation for Continual LLM Fine-Tuning Continual Learning for Large Language Models: A Survey

Reference 5

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=sha256:4078fb5600ed117781c1db7b5c1c0054c3100efa54e81db2aeb71a6c443a829f

Observation 82a4a779-bf7c-4ec4-8288-907dcc772307 · inbound

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling cites this paper.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Continual Learning for Large Language Models: A Survey

Reference 220

Resolution
unresolved
no resolver link, observed 2026-08-02T09:51:03.782356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T09:51:03.782356Z digest=sha256:21af824174037d85d052b44c791aaadc3247ae66ed9b35da5e06d438967f13e8

Observation 44ce3f33-e5bb-444d-b68f-21fc76dd0456 · inbound

How LLM Task-Adaptation Reshapes Alignment: A Multi-dimensional Study of Behavioral and Representational Drift cites this paper.

How LLM Task-Adaptation Reshapes Alignment: A Multi-dimensional Study of Behavioral and Representational Drift Continual Learning for Large Language Models: A Survey

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-02T07:44:11.986628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:44:11.986628Z digest=sha256:e9fb411c071bec527b7e9047cf3e6ae5f13d05ade31dd8564bdb116a17a3bc03

Observation 10385ec2-f5a9-4b91-886c-e58a213087fe · inbound

A Taxonomy of Cognitive Capability Gaps in Generative and Agentic AI cites this paper.

A Taxonomy of Cognitive Capability Gaps in Generative and Agentic AI Continual Learning for Large Language Models: A Survey

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T04:52:56.255590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T04:52:56.255590Z digest=sha256:8384ef9d1e7c3c96e6031778bf648dff04c49bc9e6f1170e69ac3005f63a06ae

Observation 2e8f8ff6-b6dc-471e-a402-a339a2980f05 · inbound

Continual Learning in Transition cites this paper.

Continual Learning in Transition Continual Learning for Large Language Models: A Survey

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T12:23:57.796801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:23:57.796801Z digest=sha256:7b33a788755093c9ae981e4b9ede58c6367e836688eea0f6c6ceb4b931c3f23f