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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 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 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:43:49.467029Z

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

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  • verified fuzzy0
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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 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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-24T00:09:52.093810Z digest=sha256:8d7876c7592e54ad54c496e7ed34b9a0c5b98be301f6ed43b5229b90c3ead5ed

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.

source=pdf_text observed=2026-08-07T00:43:49.467029Z digest=sha256:0ea2071813c2b13710d4900baa1d5e2dbd44dd698e756040083993e99a98068e

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-22T13:06:03.463520Z digest=sha256:41974cae0abebef994102e5733cc678f340d8eea53dbfc3f6cd66fd34818095c

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T09:05:25.236355Z digest=sha256:9b79b30c89721093da2b9f7ae0a99bc050de62b2195570c3921be5ab02fee135

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.

source=pdf_text observed=2026-08-03T10:41:38.568444Z digest=sha256:a8f1e8ca2e92fec9213b585f1f2c8933adb904e043765d8bc13858b4506ec692

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.

source=arxiv_source observed=2026-08-02T19:55:05.641686Z digest=sha256:38e3026c97ef406504339cd2422db6077309ea9f0d963d4a1a672b11a83e6089

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.

source=pdf_text observed=2026-07-13T14:28:05.261852Z digest=sha256:a3bd89cd0962c29cc4e8fb94e70f0049469d5152026acbd1f55e1868998f9052

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.

source=pdf_text observed=2026-07-15T11:44:19.622453Z digest=sha256:c387e83050fb5670bc7081ae9e28f0cf9a600f644863bac2665eae3151456e4b

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T15:59:11.967013Z digest=sha256:dbfa4bb092e1fb9b381a1931c336d5ecd89848fe3714d18ed681d9b00cb61944

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T13:22:13.763578Z digest=sha256:37c30090f5d6a15e9e80e48f3ec683d9c81dcaad94507f3bd4e47d93fd7c56e3

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T17:19:59.247074Z digest=sha256:3b15c9557626e1c272d6790a1a0a665988476f1dc909ae83bbe38cb91ded1f6d

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:52:51.777228Z digest=sha256:4d71a94a39328a76b851656d51f2d94aee8bab6c85e227c6b8d0c1e8f73af521

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T03:27:45.784361Z digest=sha256:61173a331b9e0f8e2f321693131c563b81ee199601d2bea640766f57f8666d04

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-29T13:26:19.951032Z digest=sha256:fa88592b2ef75617d9895066274f156ab8829950b57a577888055b73f57e033e

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T18:28:35.162934Z digest=sha256:efd01bd6af3b3def0524c30bb552dc54b38e5f09c6925b4fdd29105fb8c7c929

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-26T14:18:11.215278Z digest=sha256:92e66e4faf8e55abb2c795a0739db3b0701841b6259d0e621377da81c1bc4b34

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.

source=pdf_text observed=2026-07-11T08:38:02.220727Z digest=sha256:7ea2adeda37824621b0e6485367226718fb81ca3c6af80cabad39eef6227ead0

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-09T21:35:41.947875Z digest=sha256:2228dc1558fd6e8a2a19294fc2301cb73ee424cbad042954c9dab677b53f15a0

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.

source=arxiv_source observed=2026-08-02T09:51:03.794597Z digest=sha256:085d8d3d3a51c59aef884ca023e0687d488ea1812997b3f1fe0b87256fffbe9c

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.

source=arxiv_source observed=2026-08-01T06:18:16.237049Z digest=sha256:7e6a43c0018cd1ebcff293d49b99903ddc96a5930278a5539fa8ff7e6d700c06

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.

source=pdf_text observed=2026-07-30T16:11:47.098193Z digest=sha256:76d90e393ca462f4fdf67d37eca6febb07830f3b977262104de5388e0f360b1d

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.

source=pdf_text observed=2026-08-03T01:23:59.513578Z digest=sha256:2efbbcd4030ae596c40ea9ba661ed6c593b505eb518e464e2d6f422996a586ef