Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2402.12851.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T21:56:03.362250Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation e20d1821-01ce-4544-b94c-b90e35b55728 · 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 MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:56:03.362250Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2b04420-2a69-49e7-a597-e6dd332c1f32 · 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 MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:48:13.378236Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 110c7021-f7e5-45e4-a431-a5bc6f4a2b00 · inbound
MoSLD: An Extremely Parameter-Efficient Mixture-of-Shared LoRAs for Multi-Task Learning cites this paper.
MoSLD: An Extremely Parameter-Efficient Mixture-of-Shared LoRAs for Multi-Task Learning MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:26:28.392368Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7f9ec8b-1fdc-4c99-a4ce-6b5287d6d840 · inbound
A Survey on Inference Optimization Techniques for Mixture of Experts Models cites this paper.
A Survey on Inference Optimization Techniques for Mixture of Experts Models MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 113
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:44:35.788673Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd108fa9-eb7d-48b7-bd50-7edf165b1940 · inbound
VELoRA: A Low-Rank Adaptation Approach for Efficient RGB-Event based Recognition cites this paper.
VELoRA: A Low-Rank Adaptation Approach for Efficient RGB-Event based Recognition MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:42:24.398657Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 155a85db-4f02-43dc-b155-c36fa0ef3c6b · inbound
Ensembles of Low-Rank Expert Adapters cites this paper.
Ensembles of Low-Rank Expert Adapters MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T20:29:52.595718Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0fd19150-0baf-43aa-b405-72400cd1f41b · inbound
HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation cites this paper.
HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T20:21:30.486841Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5353e0a-26d9-4fd2-9791-3b30c58681e8 · inbound
Sci-LoRA: Mixture of Scientific LoRAs for Cross-Domain Lay Paraphrasing cites this paper.
Sci-LoRA: Mixture of Scientific LoRAs for Cross-Domain Lay Paraphrasing MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:27:25.227275Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a8a99c8-b520-4f7e-bd11-4cfa72266b36 · inbound
Why Do More Experts Fail? A Theoretical Analysis of Model Merging cites this paper.
Why Do More Experts Fail? A Theoretical Analysis of Model Merging MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:44:34.475689Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb1cd97b-98d6-4954-a417-2ef15981663c · inbound
MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization cites this paper.
MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:34:41.479024Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6370a6b2-7a14-40a8-b979-769d5329f32e · inbound
LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing cites this paper.
LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T09:07:14.634948Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3292ce8d-0562-4f43-855a-2531e9ee8d82 · inbound
Onsager Principle-Based Domain Embedding for Thermodynamically Consistent Cahn-Hilliard Model in Arbitrary Domain cites this paper.
Onsager Principle-Based Domain Embedding for Thermodynamically Consistent Cahn-Hilliard Model in Arbitrary Domain MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:33:57.010285Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c75303b-ed94-44a0-a3eb-73df5018b2ba · inbound
Rethinking Parameter Sharing for LLM Fine-Tuning with Multiple LoRAs cites this paper.
Rethinking Parameter Sharing for LLM Fine-Tuning with Multiple LoRAs MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T12:01:21.205507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 38e7098f-7e00-40af-a7d8-1e32a6970ee9 · inbound
KORE: Enhancing Knowledge Injection for Large Multimodal Models via Knowledge-Oriented Controls cites this paper.
KORE: Enhancing Knowledge Injection for Large Multimodal Models via Knowledge-Oriented Controls MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T05:35:56.230814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation eff3f6da-0e6d-4d2c-bcbc-d24ea6174ce1 · inbound
Reasoning and Tool-use Compete in Agentic RL:From Quantifying Interference to Disentangled Tuning cites this paper.
Reasoning and Tool-use Compete in Agentic RL:From Quantifying Interference to Disentangled Tuning MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T05:56:57.125605Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d2e80be4-b240-443c-8fe1-3251e5c44b3f · 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 MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T19:55:06.807238Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3fb4caf9-4736-41ac-91a2-6c9cc5bf58bc · 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 MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 54
- 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 92bd9db7-b5a8-4931-b3e2-8148a54bea6a · 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 MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 54
- 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 7ed6b305-42df-4e68-9e5f-110eb77fed99 · inbound
TalkLoRA: Communication-Aware Mixture of Low-Rank Adaptation for Large Language Models cites this paper.
TalkLoRA: Communication-Aware Mixture of Low-Rank Adaptation for Large Language Models MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T20:20:48.209979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 36709a0a-f8f8-4ec6-acde-28f3e08f5340 · inbound
When Text Hijacks Vision: Benchmarking and Mitigating Text Overlay-Induced Hallucination in Vision Language Models cites this paper.
When Text Hijacks Vision: Benchmarking and Mitigating Text Overlay-Induced Hallucination in Vision Language Models MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T06:46:37.493773Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a6de8c67-9cab-4dcc-8fb3-91fe88eb043c · inbound
Sub-Token Routing in LoRA for Adaptation and Query-Aware KV Compression cites this paper.
Sub-Token Routing in LoRA for Adaptation and Query-Aware KV Compression MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 11
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-09T22:54:16.679633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ed53c71b-dbbd-4307-8ce5-2a6c9b7b85fb · 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 MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:01:24.509761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e94654ca-9f91-4c98-a4b6-ddc56cef190f · inbound
Queryable LoRA: Instruction-Regularized Routing Over Shared Low-Rank Update Atoms cites this paper.
Queryable LoRA: Instruction-Regularized Routing Over Shared Low-Rank Update Atoms MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:31:26.625871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9e12803c-fb53-4961-b593-93872b13aa3d · inbound
DIYHealth Suite: Dataset, Model, and Benchmark for Health Management at Home cites this paper.
DIYHealth Suite: Dataset, Model, and Benchmark for Health Management at Home MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 69
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T08:05:31.562244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation adc964da-a2d8-4af4-ab60-d6f09e6cb0c2 · 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 MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 83
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T06:39:37.811624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 4843ed96-04cb-4f98-b2bf-77ac7b33fcbc · inbound
TriageRA-CCF: Source-Side Clinical Confidence and Coverage Signals for Adaptive Rank Budgeting in Medical LLMs cites this paper.
TriageRA-CCF: Source-Side Clinical Confidence and Coverage Signals for Adaptive Rank Budgeting in Medical LLMs MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T07:44:21.893772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3bd441e5-8ea3-4bfe-8e80-d0d59bea79f2 · inbound
Clinically Structured Rank-Gated LoRA for Cross-Benchmark Medical Question Answering cites this paper.
Clinically Structured Rank-Gated LoRA for Cross-Benchmark Medical Question Answering MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T10:05:41.011930Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 1436aa42-de8c-41d3-a1f5-57a2ed196488 · inbound
Clinically Structured Rank-Gated LoRA for Cross-Benchmark Medical Question Answering cites this paper.
Clinically Structured Rank-Gated LoRA for Cross-Benchmark Medical Question Answering MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T19:57:19.020599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a5064f58-f2c8-44e5-83e2-5ae994383bdb · inbound
Clinically Structured Rank-Gated LoRA for Cross-Benchmark Medical Question Answering cites this paper.
Clinically Structured Rank-Gated LoRA for Cross-Benchmark Medical Question Answering MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T22:08:58.520247Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e0ab70ed-bfab-407c-b5fd-d4c2a0a8a7da · 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 MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:18:16.121296Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b5eff80-64fd-46e8-8d47-f5368d22b59c · inbound
RoCo-ACE: Rollout-Conditioned Online Distillation for Retention-Aware Knowledge Injection cites this paper.
RoCo-ACE: Rollout-Conditioned Online Distillation for Retention-Aware Knowledge Injection MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 80
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T11:50:19.409136Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba0582a4-7415-4f29-b6f9-a701bcfa67e8 · inbound
A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance cites this paper.
A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models
Reference 132
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:35:39.705741Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.