Paper Citation Record · LEDGER

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning

As of 20 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 11 inbound Pith citation observations for arXiv:2506.11672.

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

pith.paper-citation-record.v1
2506.11672 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:09:31.323766Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:40:20.613277Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T23:26:23.175930Z

Reference resolution

29 of 29 outbound references displayed

verified exact1
verified fuzzy9
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e7deeb41-7e8f-4733-b52e-5c013f3821f3 · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:29.465777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 927f035b-2bee-4582-9dcb-55fb6ccceaf5 · outbound

This paper cites Higher Layers Need More LoRA Experts.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning Higher Layers Need More LoRA Experts

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:29.607588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d121950c-74a0-4677-b63c-8878a46a361e · outbound

This paper cites an unresolved cited work.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:09:33.122983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8a19a04d-3c44-432e-894f-9a99e5135f38 · outbound

This paper cites Llaca: Multimodal large language continual assistant.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning Llaca: Multimodal large language continual assistant

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:29.983904Z

Source-reported events for the cited work

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Observation e8070477-22a8-4078-9e16-777e1355326e · outbound

This paper cites Alphalora: Assigning lora experts based on layer training quality.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning Alphalora: Assigning lora experts based on layer training quality

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:33.555302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5fb42835-dcd5-4050-ba1c-2ce4760570f3 · outbound

This paper cites an unresolved cited work.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:09:33.372968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1c889673-1bb4-41c0-8cde-b067de7deca9 · outbound

This paper cites ConPET: Continual Parameter-Efficient Tuning for Large Language Models.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning ConPET: Continual Parameter-Efficient Tuning for Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:30.379735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d75023ed-f923-46e5-a9c8-6d56d4c6dcf6 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:30.458721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cced0ed5-a749-4d15-8551-4987389ecbdc · outbound

This paper cites Orthogonal subspace learning for language model continual learning.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning Orthogonal subspace learning for language model continual learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:30.535440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e7dc6d7-574c-4760-bc1e-89969a74e542 · outbound

This paper cites SMoLoRA: Exploring and Defying Dual Catastrophic Forgetting in Continual Visual Instruction Tuning.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning SMoLoRA: Exploring and Defying Dual Catastrophic Forgetting in Continual Visual Instruction Tuning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:30.636693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83585115-ece6-457b-a812-ab0a24d95450 · outbound

This paper cites Beyond Anti-Forgetting: Multimodal Continual Instruction Tuning with Positive Forward Transfer.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning Beyond Anti-Forgetting: Multimodal Continual Instruction Tuning with Positive Forward Transfer

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:30.693896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2193e504-0396-4d27-8390-f69c30c0412f · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:30.755791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 177289e8-494c-4046-b319-752a30d0124e · outbound

This paper cites By combining LLMs with multimodal encoders, they support tasks such as image captioning and visual question answering.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning By combining LLMs with multimodal encoders, they support tasks such as image captioning and visual question answering

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:32.826530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1626102d-d880-42fc-950f-e5e22c476ccf · outbound

This paper cites Model expansion increases capacity to handle new tasks while preserving prior information.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning Model expansion increases capacity to handle new tasks while preserving prior information

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:32.667867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e5d4cb06-093d-446e-b7ed-41d1b198ed25 · outbound

This paper cites Recent research has extended the Mixture of Experts (MoE) framework (Jacobs et al., 1991; Shazeer et al.,.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning Recent research has extended the Mixture of Experts (MoE) framework (Jacobs et al., 1991; Shazeer et al.,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:32.512818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 25e0306e-ecb4-41c8-9ea2-40608c224f17 · outbound

This paper cites These models are called Mixture of LoRA Experts (MoLE).

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning These models are called Mixture of LoRA Experts (MoLE)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:32.377985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7f46e54b-5a69-4de2-aa27-be8b47dcba01 · outbound

This paper cites Recently, curriculum learning is also widely adopted in LLMs’ pretraining process, e.g., Kimi K1.5 (Team et al., 2025), DeepSeek-Prover-V2 (Ren et al., 2025), Seed-Coder.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning Recently, curriculum learning is also widely adopted in LLMs’ pretraining process, e.g., Kimi K1.5 (Team et al., 2025), DeepSeek-Prover-V2 (Ren et al., 2025), Seed-Coder

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:32.235366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fa9b2bf0-68be-4265-b477-0dabdce1c0c0 · outbound

This paper cites an unresolved cited work.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning Unresolved cited work

Reference 128

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:09:32.977656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ac58083a-d904-4748-a9b7-e61c4db7b964 · outbound

This paper cites PMoE: Progressive Mixture of Experts with Asymmetric Transformer for Continual Learning.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning PMoE: Progressive Mixture of Experts with Asymmetric Transformer for Continual Learning

Reference 1991

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:29.805992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6282684-f70b-4a05-9150-df55278f0b47 · outbound

This paper cites adaptability and its capacity to maintain performance on previous tasks while learning new ones.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning adaptability and its capacity to maintain performance on previous tasks while learning new ones

Reference 2014

Resolution: verified exact; raw_fallback, observed 2026-08-07T04:09:31.660983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 83566a4e-e947-4855-b2e7-067d96b1a93f · outbound

This paper cites DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:30.192563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c35ef6f-fd57-458f-a913-65de4f2c18d9 · outbound

This paper cites Qwen2.5-VL Technical Report.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning Qwen2.5-VL Technical Report

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:28.516048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b61919e-e07b-46fa-95d6-ddb0cac35d78 · outbound

This paper cites Progressive Neural Networks.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning Progressive Neural Networks

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:30.273502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbbd6491-6ad2-4997-b957-51fb5f8e4fab · outbound

This paper cites Continual Instruction Tuning for Large Multimodal Models.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning Continual Instruction Tuning for Large Multimodal Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:29.746045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c172d1c2-8a7b-4d46-9e93-fe69f94abed5 · outbound

This paper cites X., and Wen, J.-R.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning X., and Wen, J.-R

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:33.714485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 50355626-aa5a-4faf-a6bd-96aecdeefd26 · outbound

This paper cites Continual LLaVA: Continual Instruction Tuning in Large Vision-Language Models.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning Continual LLaVA: Continual Instruction Tuning in Large Vision-Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:28.944631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b79c439d-6923-4cc1-91c7-8ce6369cbcdf · outbound

This paper cites Loramoe: Alleviating world knowledge forgetting in large language models via moe-style plugin.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning Loramoe: Alleviating world knowledge forgetting in large language models via moe-style plugin

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:33.876278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aa43eaf6-836a-4db9-adae-2533a8bb54bf · outbound

This paper cites Improving Multi-Modal Learning with Uni-Modal Teachers.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning Improving Multi-Modal Learning with Uni-Modal Teachers

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:29.309827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71c6daac-25de-4194-8bc4-e686916df6a1 · outbound

This paper cites Multimodal continual graph learning with neural architecture search.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning Multimodal continual graph learning with neural architecture search

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:09:34.020074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 96d8380d-dc7a-4d0d-83b4-111658ec0acc · 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 Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:20.613277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 971d14c7-de6a-4142-bf7b-6283eb85a2bc · inbound

PASs-MoE: Mitigating Misaligned Co-drift among Router and Experts via Pathway Activation Subspaces for Continual Learning cites this paper.

PASs-MoE: Mitigating Misaligned Co-drift among Router and Experts via Pathway Activation Subspaces for Continual Learning Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T09:44:13.374266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54e375dc-27cc-42f8-af73-c99c6c1b6e2b · inbound

CRAFT: Forgetting-Aware Intervention-Based Adaptation for Continual Learning cites this paper.

CRAFT: Forgetting-Aware Intervention-Based Adaptation for Continual Learning Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:36:09.042884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation df8d1a75-16c8-49b9-9b46-9adea920b554 · inbound

CRAFT: Forgetting-Aware Intervention-Based Adaptation for Continual Learning cites this paper.

CRAFT: Forgetting-Aware Intervention-Based Adaptation for Continual Learning Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:05:57.181381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1c806293-3537-4128-8293-0431fb11c850 · inbound

Hystar: Hypernetwork-driven Style-adaptive Retrieval via Dynamic SVD Modulation cites this paper.

Hystar: Hypernetwork-driven Style-adaptive Retrieval via Dynamic SVD Modulation Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:06:35.281948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 48b126a2-e8e8-466c-aa10-ea07180495b4 · inbound

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

Dynamic Cross-Modal Prompt Generation for Multimodal Continual Instruction Tuning Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:21:25.225128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ef3cc7d0-93ad-4226-bea9-fbffb6f64d77 · inbound

PEAM: Parametric Embodied Agent Memory through Contrastive Internalization of Experience in Minecraft cites this paper.

PEAM: Parametric Embodied Agent Memory through Contrastive Internalization of Experience in Minecraft Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T16:43:39.979877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 753c9023-14f2-4186-8f1f-3d64cbe04325 · inbound

CRAM: Centroid-Routing and Adaptive MoE for Multimodal Continual Instruction Tuning cites this paper.

CRAM: Centroid-Routing and Adaptive MoE for Multimodal Continual Instruction Tuning Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning

Reference 73

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T23:26:23.177973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 13048f2e-c9f0-43cf-9f29-d3120394c49e · inbound

ProtoAda: Prototype-Guided Adaptive Adapter Expansion and Geometric Consolidation for Multimodal Continual Instruction Tuning cites this paper.

ProtoAda: Prototype-Guided Adaptive Adapter Expansion and Geometric Consolidation for Multimodal Continual Instruction Tuning Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning

Reference 73

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:36:17.949192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cd576287-5c4c-4e2a-aad9-7f730f077f24 · inbound

Towards Continual Motion-Language Agents: LoRA Variants for Incremental Motion Understanding and Generation cites this paper.

Towards Continual Motion-Language Agents: LoRA Variants for Incremental Motion Understanding and Generation Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:04:28.950688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 94eb0d07-fab4-4489-b1f9-ea37fd3b5c32 · inbound

CL-Anomaly: Layer-Adaptive Mixture-of-Experts with Multimodal Large Language Model for Continual Learning in Anomaly Detection cites this paper.

CL-Anomaly: Layer-Adaptive Mixture-of-Experts with Multimodal Large Language Model for Continual Learning in Anomaly Detection Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-12T06:01:58.407747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.