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Paper Citation Record · LEDGER

Continual Learning for Large Language Models: A Survey

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 43 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 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 43 of 43 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:17:44.344757Z

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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  • verified fuzzy0
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  • malformed identifier0
  • 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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verified exact
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T18:02:30.199552Z digest=sha256:1530b51644a8ce2be62c2301ea0f362e446e4c9c5058206abf85c46a590c68ba

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T23:08:34.312466Z digest=sha256:7622b335b8536afebd742fad714421e75998f6235832371caaaaa6ba0c9d3a4c

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

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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=sha256:63533e8f20356908a4d1ea2216497ebe60adca6668c11592cb4e11618bee387d

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
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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=sha256:4dc4dc07136b7fdfd9386e502ff9f04712c2a4117b64bdef224d6f2a0c4b246d

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

Resolution
unresolved
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

Resolution
unresolved
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

Resolution
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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:fa755d99e9124b5dc0778c63b9e4f275a00bec64aa16adb404d55304aa8b1639

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:cbfff660779fc6ee61037268c87b0f87c1193ad13fda62cc144746cab4916714

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

Resolution
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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=sha256:292be01638bd992ed3b771a27188ef7982cad004fef560abff1bf44b6a14145c

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

Resolution
unresolved
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:eabbd3e8bc274e3ada7b5c670a89deb57b9eab4c621e81f304796642abda7f10

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

Resolution
unresolved
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:a48efb71d92960648781fe1ef2e60be34612df849e7cd76f2ebd5ce29f987a95

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:f796a78ca3dea820bf46e710ce0e339639676c3f65105052c4e59f5c66f6388a

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

Resolution
unresolved
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:d58de17be333722ba72a40fb71bdfbad31b4b0f2e252c92350a18c3f13802c30

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-19T06:03:40.874012Z digest=sha256:ff57cc3b230c80bde67ed82527a1ad62157cc0cf4f2698b67a11bc9a11dc8508

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

Resolution
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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T14:46:45.598080Z digest=sha256:4a7aa569a24a0c2bef56f855d54f7855045583eb646f8f5dbdbbd15410c77a69

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

Resolution
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:ee15ad7a502bb43bc28ef921439c16389ffdb46fbd13b2fb88380e70fb9459df

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T12:13:24.420641Z digest=sha256:f575cbfe2eee5fdb6874edf550ace3163fd0f4aac47c8fb6383d60cd61de9ffc

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

Resolution
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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T11:12:32.165086Z digest=sha256:23a2af62157c1d00bc954f0c13e886c2a763379ea3c909898037e1c0165865a9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T16:42:08.322419Z digest=sha256:d7a686562e43e8060b496365874c31a5eb95b914fd231e5959355bd24d140320

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T04:41:27.144815Z digest=sha256:fda9f68ae3cea370510e334828af19100a9d2066ed390a3963fc563e79b8b272

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T03:27:45.784361Z digest=sha256:da702f38fc643d921f576c15c5b1daf983a1e15e5a907b48e2fd1db644669bdb

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-21T08:45:56.550821Z digest=sha256:b0e723f04b72c3e925ce13a55d40784fe41fdbf3edad613dbeae09ea56aaf80c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T03:17:23.202604Z digest=sha256:02131a924a0a645e75dfc0bc0bbeccfc5e40d48281fa913377425a8d9a88934f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T08:36:31.022046Z digest=sha256:dcbab751689ed2d4da9519286e3bb901940eaca19ee36e91ac5d7278319a85b0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T16:43:37.472644Z digest=sha256:35f8568c25c12bf772187a3cdefd0f2f89f51123bcd2107d0246a3cc0115064e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T14:35:46.376752Z digest=sha256:da568cb8457f2534d05562ae4f51e346a853c3559cc2243ffcd470e63c7b168a

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T23:15:45.174086Z digest=sha256:4a2df2757ec226cf8db30f0978e3aafd22fdee15c26466ad58125d2ec9fd7c58

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T22:53:48.040141Z digest=sha256:37d94391c180e3f4ba69fe56983650dc5c16a436aa72f217586414fdb733a0ce

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:29:11.398007Z digest=sha256:083ab4ff530fbf07ab3fa780427e66f339e9f8c6ec005ac1e8e6f337d90b789c

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T02:24:52.140361Z digest=sha256:8a886b70a795e07da4e010fc95dd9f5c196e749bd380a2550ce45e2f0573b021

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T22:15:36.264240Z digest=sha256:346c16e1f7bf80893fe62c25a7f44711033ff64c2ae44703c3b01235c92c5da1

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T21:12:05.209407Z digest=sha256:79685b79a13bebe3e4533389868b6a5b85f0dd400ab0ea0ad7ab86826fed9bd4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T05:02:18.347642Z digest=sha256:a3f51196eefbd6a8137272a5de3ba893d53839d054b7a220ed16c24b4d7427df

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T09:33:50.358159Z digest=sha256:85dd3e7c90aae27dac647ae63548ab3383790a57afe1edf45f7d4e3d86d85a20

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=sha256:44a1e3567a3687261b06e029947a780bebb225b08fc7e8bc818b4e4b8bda4ab1

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=sha256:809b5a5c0ada5cbfefc5ca6239bb0ac89320ad443eae2bea551d6c8235240d3e

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=sha256:0bb569a975df123e84daa24217dd5ed4e983de786af1aa20a8e77c61939084fd