Paper Citation Record · LEDGER

Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2312.12379.

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

pith.paper-citation-record.v1
2312.12379 v5

Coverage vector

measured 0 of 0 reference resolution

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measured 32 of 32 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:56:03.297496Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:20:06.423412Z

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Outbound references

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Pith citing papers

Observation 92ccfeb8-581d-44e0-a88c-36170ec44607 · inbound

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models cites this paper.

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:33:30.292836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 65c5cbad-1998-4907-a75f-9e03c3fa2800 · inbound

PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model cites this paper.

PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T21:56:03.297496Z

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Observation 3c3f3994-b778-4d62-958b-ef30bcac1c3c · inbound

Awaker2.5-VL: Stably Scaling MLLMs with Parameter-Efficient Mixture of Experts cites this paper.

Awaker2.5-VL: Stably Scaling MLLMs with Parameter-Efficient Mixture of Experts Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T19:29:56.328322Z

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Observation 3a5cfea1-a164-4dee-85f4-03bfbe566e60 · inbound

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

SMoLoRA: Exploring and Defying Dual Catastrophic Forgetting in Continual Visual Instruction Tuning Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 9

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Observation 49fb10d7-2997-454a-88fa-a598d0446a06 · inbound

On the Role of Discrete Representation in Sparse Mixture of Experts cites this paper.

On the Role of Discrete Representation in Sparse Mixture of Experts Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:10.141045Z

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Observation 3df9cc27-a4e3-4023-aa38-fa02beff9771 · inbound

Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs cites this paper.

Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T23:49:02.231977Z

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Observation 8d38ea98-087b-433c-be53-866f026a45cf · inbound

SAME: Learning Generic Language-Guided Visual Navigation with State-Adaptive Mixture of Experts cites this paper.

SAME: Learning Generic Language-Guided Visual Navigation with State-Adaptive Mixture of Experts Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 31

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Observation cf289185-7c2b-4bc4-9141-136d3753f6f9 · inbound

Advancing Single and Multi-task Text Classification through Large Language Model Fine-tuning cites this paper.

Advancing Single and Multi-task Text Classification through Large Language Model Fine-tuning Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 31

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Observation 65c7b500-642c-474e-8abd-1da7b996eaee · inbound

RapGuard: Safeguarding Multimodal Large Language Models via Rationale-aware Defensive Prompting cites this paper.

RapGuard: Safeguarding Multimodal Large Language Models via Rationale-aware Defensive Prompting Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 17

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Observation e5be7f96-2041-4de9-a4a7-7bc81c2ecc2b · inbound

Spot Risks Before Speaking! Unraveling Safety Attention Heads in Large Vision-Language Models cites this paper.

Spot Risks Before Speaking! Unraveling Safety Attention Heads in Large Vision-Language Models Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T22:28:32.280679Z

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Observation bbdb1794-01e2-40f7-ac60-8add2876eab5 · inbound

Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning cites this paper.

Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-10T20:54:41.978828Z

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Observation 330c7b39-7a2d-4561-a535-c75dbba72d11 · inbound

Ensembles of Low-Rank Expert Adapters cites this paper.

Ensembles of Low-Rank Expert Adapters Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 27

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Observation 6fab4449-ee94-484b-96a5-0786bee9e9b1 · inbound

Mixpert: Mitigating Multimodal Learning Conflicts with Efficient Mixture-of-Vision-Experts cites this paper.

Mixpert: Mitigating Multimodal Learning Conflicts with Efficient Mixture-of-Vision-Experts Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T12:25:05.093737Z

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Observation d046d532-f878-482a-ba56-fd7bf699edb0 · inbound

MINT: Multimodal Instruction Tuning with Multimodal Interaction Grouping cites this paper.

MINT: Multimodal Instruction Tuning with Multimodal Interaction Grouping Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T11:32:06.772655Z

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Observation 96e8f015-cf40-45ae-a557-f1159dd9b5c7 · inbound

Cartridges: Lightweight and general-purpose long context representations via self-study cites this paper.

Cartridges: Lightweight and general-purpose long context representations via self-study Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:29.152331Z

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Observation 3043e1a3-acaf-4f88-b146-36679aa7fc55 · inbound

ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving cites this paper.

ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T20:47:51.320558Z

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Observation b96378a5-0661-41fe-aa0e-e5076c7346d6 · inbound

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection cites this paper.

Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T14:54:36.504291Z

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Observation f75f8036-1b95-49da-b06f-ff81f1fe2f31 · inbound

GRASP: Guided Residual Adapters with Sample-wise Partitioning cites this paper.

GRASP: Guided Residual Adapters with Sample-wise Partitioning Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-17T02:58:55.104128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a89d258e-9f42-40d1-ad52-55b0ac051282 · inbound

InstructMoLE: Instruction-Guided Mixture of Low-rank Experts for Multi-Conditional Image Generation cites this paper.

InstructMoLE: Instruction-Guided Mixture of Low-rank Experts for Multi-Conditional Image Generation Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:11:11.498274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6d439733-d436-451d-8dca-4f2b0ddf9917 · 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 Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 15

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

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Observation 64772e1f-b2b4-4957-90d3-077476ddc25d · 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 Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 15

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

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Unavailable: canonical work link unavailable.

Observation 95961ac8-9d37-4d97-8ab0-2d5c3ffe849c · inbound

Adapting 2D Multi-Modal Large Language Model for 3D CT Image Analysis cites this paper.

Adapting 2D Multi-Modal Large Language Model for 3D CT Image Analysis Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:20:58.213409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f26fa6ef-7f36-406f-9923-3b3d5282aa37 · inbound

Efficient Handwriting-Based Alzheimer,s Disease Diagnosis Using a Low-Rank Mixture of Experts Deep Learning Framework cites this paper.

Efficient Handwriting-Based Alzheimer,s Disease Diagnosis Using a Low-Rank Mixture of Experts Deep Learning Framework Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:01:01.226101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8b5a7f40-f767-4c9a-8622-a6f6570de8cf · inbound

AxMoE: Characterizing the Impact of Approximate Multipliers on Mixture-of-Experts DNN Architectures cites this paper.

AxMoE: Characterizing the Impact of Approximate Multipliers on Mixture-of-Experts DNN Architectures Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:50:40.085559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9ce70066-e52c-421a-b850-4a942cd0c5f4 · inbound

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories cites this paper.

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:26:26.794720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8429b92f-d423-4be0-91ea-17abb19f6fbf · inbound

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories cites this paper.

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 55

Resolution: unresolved; no resolver link, observed 2026-07-13T07:44:25.325808Z

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Observation d5385c8f-9ed0-4d64-b6e8-7708805504b3 · inbound

CogniRoute: Learning to Route Social Evidence in Omni-Modal Models cites this paper.

CogniRoute: Learning to Route Social Evidence in Omni-Modal Models Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 146

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T03:49:30.358412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 221e1016-5712-4fd7-878c-db232786af95 · 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 Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 82

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T06:39:37.877359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bf317ea8-c20a-4cac-8406-4df09abc9e78 · inbound

Omni-Perception Policy Optimization for Multimodal Emotion Reasoning cites this paper.

Omni-Perception Policy Optimization for Multimodal Emotion Reasoning Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 62

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T19:20:06.426079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8db72ac7-ab21-4c16-a149-e4c005f9e49b · inbound

GeMoE: Gating Entropy is All You Need for Uncertainty-aware Adaptive Routing in MoE-based Large Vision-Language Models cites this paper.

GeMoE: Gating Entropy is All You Need for Uncertainty-aware Adaptive Routing in MoE-based Large Vision-Language Models Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T15:39:56.513187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 92dcccf6-1b3d-4daf-b83e-13e22c557ed0 · inbound

MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration cites this paper.

MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T07:52:08.823198Z

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Observation 54ab2b6e-1582-4b31-b96c-cde32a9df93b · inbound

SpecDrop: Parameter-Free Category-Conditioned Routing for Modular Specialization cites this paper.

SpecDrop: Parameter-Free Category-Conditioned Routing for Modular Specialization Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-08T00:41:22.234004Z

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Unavailable: canonical work link unavailable.