Paper Citation Record · LEDGER

LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:2312.09979.

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

pith.paper-citation-record.v1
2312.09979 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 29 of 29 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 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T20:29:52.485134Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T21:36:34.284460Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
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 eed266ed-38c2-491b-8403-f5fa2a1859b0 · inbound

Preserving Knowledge in Large Language Model with Model-Agnostic Self-Decompression cites this paper.

Preserving Knowledge in Large Language Model with Model-Agnostic Self-Decompression LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-24T00:13:39.534912Z

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.

Observation e3a637e1-35b2-4df7-9f5b-31d681fe4ca0 · inbound

Ensembles of Low-Rank Expert Adapters cites this paper.

Ensembles of Low-Rank Expert Adapters LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.485134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0814b3b3-ab0c-432d-8f97-f35a658a759a · inbound

SPARC: Subspace-Aware Prompt Adaptation for Robust Continual Learning in LLMs cites this paper.

SPARC: Subspace-Aware Prompt Adaptation for Robust Continual Learning in LLMs LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T10:43:47.254778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9eb08520-0f4e-40fd-a817-9cfd76b0a1f2 · inbound

Decouple and Orthogonalize: A Data-Free Framework for LoRA Merging cites this paper.

Decouple and Orthogonalize: A Data-Free Framework for LoRA Merging LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T15:18:13.372715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ee13621-a20a-432e-8141-05ff5f3fca8c · inbound

Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts cites this paper.

Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:59.432367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82c30370-8b25-41b2-81ec-59f267d1155f · inbound

FLoE: Fisher-Based Layer Selection for Efficient Sparse Adaptation of Low-Rank Experts cites this paper.

FLoE: Fisher-Based Layer Selection for Efficient Sparse Adaptation of Low-Rank Experts LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:12.260399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bb4cead-8b91-43dc-89f1-3560dd53b405 · inbound

Enhancing Multimodal Continual Instruction Tuning with BranchLoRA cites this paper.

Enhancing Multimodal Continual Instruction Tuning with BranchLoRA LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:04.309209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3dd5a99-7c92-4c8a-8c42-7393d198d7ce · inbound

Mitigating Catastrophic Forgetting with Adaptive Transformer Block Expansion in Federated Fine-Tuning cites this paper.

Mitigating Catastrophic Forgetting with Adaptive Transformer Block Expansion in Federated Fine-Tuning LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T10:20:44.314849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e5cc9b6-1a07-43ca-8599-e6d67a76d7e1 · 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 LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T00:43:49.467029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cba564eb-9441-4e2b-a0aa-5446f1157a82 · inbound

Little by Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts cites this paper.

Little by Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:06:34.421931Z

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.

Observation 0227fb88-65c6-4b23-b71a-c1f5a02e139d · inbound

LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing cites this paper.

LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:07:14.565695Z

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.

Observation 777dce2d-1692-4d15-a30d-f421f1b9cb28 · inbound

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning cites this paper.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T10:41:38.568444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 076e1bad-6acf-4b81-b1b4-dfcde557d036 · inbound

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging cites this paper.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T19:55:05.641686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbec543a-8f01-4ae1-877c-a78301937421 · inbound

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics cites this paper.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-13T14:28:05.261852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09d5e8a4-0a7b-4105-82e6-69f9efc1f42a · inbound

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics cites this paper.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e9ea099-75ba-471a-b427-6ff8e7e6b616 · inbound

Orthogonal Subspace Projection for Continual Machine Unlearning via SVD-Based LoRA cites this paper.

Orthogonal Subspace Projection for Continual Machine Unlearning via SVD-Based LoRA LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 12

Resolution: malformed identifier; arxiv_id, observed 2026-05-11T09:31:03.743376Z

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.

Observation cb6cdab5-953a-4b43-99bb-f5e6cc66773c · inbound

Adaptive and Fine-grained Module-wise Expert Pruning for Efficient LoRA-MoE Fine-Tuning cites this paper.

Adaptive and Fine-grained Module-wise Expert Pruning for Efficient LoRA-MoE Fine-Tuning LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:01:24.476414Z

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.

Observation 4755bb07-2bd5-4038-8b58-6a3f905ad6ad · inbound

MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning cites this paper.

MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 154

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:01:12.427245Z

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.

Observation fda3406e-d41a-4c67-a184-d168563e58e0 · inbound

Beyond GSD-as-Token: Continuous Scale Conditioning for Remote Sensing VLMs cites this paper.

Beyond GSD-as-Token: Continuous Scale Conditioning for Remote Sensing VLMs LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:15:57.018450Z

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.

Observation 421aabc9-e56b-4db7-a6bc-bd1e578f9b94 · inbound

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

Dynamic Cross-Modal Prompt Generation for Multimodal Continual Instruction Tuning LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:21:25.216921Z

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.

Observation f5a425a5-0ef7-45b0-87ac-ae7a4f7da4d3 · inbound

SMILE-Next: Teaching Large Language Models to Detect, Classify, and Reason about Laughter cites this paper.

SMILE-Next: Teaching Large Language Models to Detect, Classify, and Reason about Laughter LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T13:33:28.367437Z

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.

Observation c9a5a6e5-a093-4b6f-b4f5-c124367a8d30 · inbound

STAR: Rethinking MoE Routing as Structure-Aware Subspace Learning cites this paper.

STAR: Rethinking MoE Routing as Structure-Aware Subspace Learning LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T23:07:26.957442Z

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.

Observation 9c4f447a-c836-43c1-9af3-85c1473c8a6f · inbound

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models cites this paper.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 127

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T06:39:37.925571Z

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.

Observation b2b64597-4e1a-4537-8165-4ffb7bdc0a81 · inbound

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing cites this paper.

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-11T08:38:02.220727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec4ba808-0e0d-4b44-983b-147a643f0c08 · inbound

Online Data Selection Is Implicit Alignment cites this paper.

Online Data Selection Is Implicit Alignment LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-07-09T21:36:34.285896Z

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.

Observation da5f90ac-43dd-4c9a-be3b-98d790d43f50 · 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 LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 225

Resolution: unresolved; no resolver link, observed 2026-08-02T09:51:03.794597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb7c1d30-77fd-4b28-80be-d31ab3da8c35 · inbound

MoE$^2$-LoRA: When MoE Models Meet MoE-style Low-Rank Adaptation cites this paper.

MoE$^2$-LoRA: When MoE Models Meet MoE-style Low-Rank Adaptation LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-01T06:18:16.237049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 529493b9-3400-4744-98ae-c63870f017d8 · inbound

Progressive Multimodal Alignment for Continual Instruction Tuning cites this paper.

Progressive Multimodal Alignment for Continual Instruction Tuning LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-30T16:11:47.098193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24124b17-5b69-41e7-b59b-77ee0ecb789f · inbound

Progressive Multimodal Alignment for Continual Instruction Tuning cites this paper.

Progressive Multimodal Alignment for Continual Instruction Tuning LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T01:23:59.513578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.