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Paper Citation Record · LEDGER

Continual Learning for Large Language Models: A Survey

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 44 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 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 44 of 44 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:02:23.620761Z

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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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T18:02:30.199552Z digest=sha256:e14ae39203cc49a4f671fa20819e5d79596daf64acbc5398dd5cbbf46e185f9c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-11T23:08:34.312466Z digest=sha256:04b065bfc81dc257a1be4ccac5aa420dad919990b8d31c472a5bb99216bb5bc5

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=sha256:42775570d3c02e3406b982ac609b877e9f3e87ad0bd440df5a3b6d5ac46dfcd3

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=sha256:8d1efc71116b54fc5a7473b73f7ab91f7d20aa0c8136d3edbe48b06fc58cc4a4

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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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

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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=sha256:045ca966359003a8f4d77fc16cc7ba82ef167da1c03b05f01eb5b7cc01e4af04

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:dcf30c329f4e73c4e90d0431c5e534c6e90c7c2bb6da785701198dd146cee58d

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: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
unresolved
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

Resolution
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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-19T06:03:40.874012Z digest=sha256:0e138780782c40293a71f47854af97093837b821feda3f5a636d76d2b538c4e9

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-18T14:46:45.598080Z digest=sha256:56269cc53b4543b7d55b9dd89589f03954c532a4585c2b48334fa12eba666f08

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: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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T12:13:24.420641Z digest=sha256:a0814d5345ba0915110adc1a6193f706d2b647b1768f004a26e95d3e8b9478f7

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

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T11:12:32.165086Z digest=sha256:75dc28301acb30f2b03f7dd6d11eb70ed2caa5dd1d28a58d2ede1b2e66a3cd27

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T16:42:08.322419Z digest=sha256:c83e8c7f37ba775557cc0834df9e81f246f45f29f87b873e5dbff6c115947da5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T04:41:27.144815Z digest=sha256:7b2686b88c8fe0d4919ffd57a0ffd66e067799c9ac95be5ce242c994775ffcd1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T03:27:45.784361Z digest=sha256:0dcbc78b3a0878809bde32b730f8215729fe17313e95119866a706a6bfad8bdf

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-21T08:45:56.550821Z digest=sha256:fd629b564df83eb8454038eb65c63a93f0c9dc91ba470911e734f60ee5da34c0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T03:17:23.202604Z digest=sha256:e98aa38a62dbc90f17e01b81524f52f0b4823f55928806b2be4b32f2d037dd6d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T08:36:31.022046Z digest=sha256:7b419b24c416a063d8b0e792235491660b6440613b9fd31b0349a86a33cb90d1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T16:43:37.472644Z digest=sha256:1a7b1d1179df14a6959a77322acd7635614a7f82e38724883fc4b1b025de3149

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T14:35:46.376752Z digest=sha256:0c7686d314ff1fc00ebf8765d7e412c68596170435453aed3aef769347bd709e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T23:15:45.174086Z digest=sha256:94d54f1e0bdd3f6ed2980500fd2d5d2d57338f4724eb18e37df62ad22a5ebc02

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T22:53:48.040141Z digest=sha256:a14057e191d608f2712286133f21a04235b3391f05c1e8520770df6017c211e1

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T06:29:11.398007Z digest=sha256:6db1dc3f74a3dd6a767e3c45dcafdb8472750a4e382ee466cd92a550d8a6492a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T02:24:52.140361Z digest=sha256:5b87e5514fbc8f20d205ecda576d3b452db7dfca506aa6218ffadadf7830f67d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T22:15:36.264240Z digest=sha256:51c37178c7f935a74f71992431f2d8b80b784a6d36c0de48f5c54879115ae9c5

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-26T21:12:05.209407Z digest=sha256:60faa72db722172cddfc13b24574ee0dad5ad1dfca3a135e1688cc18f013d944

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T05:02:18.347642Z digest=sha256:5f3c1b01553a863f7bf638df6aeeecfcfe73ecad979206d72725da1b86042232

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T09:33:50.358159Z digest=sha256:1bb0a9e575b44feae9574c236aaa4969df725994698b999ba669741dd324ead8

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=sha256:809b5a5c0ada5cbfefc5ca6239bb0ac89320ad443eae2bea551d6c8235240d3e

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:ea801f98eae7007d33c2e5500b5b151f89f3c82c51b3ff5fc92513005ffcf557