Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 55 inbound Pith citation observations for arXiv:2307.13269.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T14:27:57.474822Z
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
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External citation measurements
7
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 0b712967-d477-4fcc-a01b-d7d5c76cbbd6 · inbound
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models cites this paper.
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 33
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T16:03:17.083782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 289cb62e-db3d-4d26-9c7a-771d383c2802 · inbound
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey cites this paper.
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 92
- Resolution
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- arxiv_id, observed 2026-05-13T11:32:37.013099Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b40ae42d-0f3e-4bb2-b432-76a066acc317 · inbound
Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging cites this paper.
Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 23
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6929ccfa-8663-44ef-b91e-c6cde3429088 · inbound
When One LLM Drools, Multi-LLM Collaboration Rules cites this paper.
When One LLM Drools, Multi-LLM Collaboration Rules LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 46
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b270e29-5965-4e10-b6ae-5931e57cdfa2 · inbound
Cached Multi-Lora Composition for Multi-Concept Image Generation cites this paper.
Cached Multi-Lora Composition for Multi-Concept Image Generation LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 10
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b3463b7-b000-46d6-8908-5ec41306d2b8 · inbound
Skill Expansion and Composition in Parameter Space cites this paper.
Skill Expansion and Composition in Parameter Space LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 2022
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0187f126-abfb-43a7-a20d-0a351751c25e · inbound
Model Merging is Secretly Certifiable: Non-Vacuous Generalisation Bounds for Low-Shot Learning cites this paper.
Model Merging is Secretly Certifiable: Non-Vacuous Generalisation Bounds for Low-Shot Learning LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:18:30.942304Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a931ea0-777c-4a64-897a-a286d0474af7 · inbound
FedHL: Federated Learning for Heterogeneous Low-Rank Adaptation via Unbiased Aggregation cites this paper.
FedHL: Federated Learning for Heterogeneous Low-Rank Adaptation via Unbiased Aggregation LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 25
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d836108-1cb7-45ec-8162-aaac8afee9b8 · inbound
Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer cites this paper.
Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 29
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 091aae92-11f3-404d-b488-a26cc0f0bb13 · 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 LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:27:25.173916Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 056ee1f7-abd7-4fa1-be24-5029c697d236 · inbound
MultLFG: Training-free Multi-LoRA composition using Frequency-domain Guidance cites this paper.
MultLFG: Training-free Multi-LoRA composition using Frequency-domain Guidance LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 2022
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0422f54-d67a-40e6-af3e-8cd41f517f1e · 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 LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:44:33.469848Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59efa1c4-7256-4603-85e4-1dddbf36c5c0 · 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 LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 16
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75878931-2665-4e4d-b2e7-2494b4d9cdde · inbound
Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation cites this paper.
Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 2023
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45ecebc8-ea23-474c-9aa1-817af1ba0b3b · 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 LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 37
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b29580e-2e53-47c1-9b1b-a1f72d26afbe · inbound
From Generation to Generalization: Emergent Few-Shot Learning in Video Diffusion Models cites this paper.
From Generation to Generalization: Emergent Few-Shot Learning in Video Diffusion Models LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 29
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 712ba173-b534-498d-8a7f-9ce9e02797b4 · inbound
LoRA-Gen: Specializing Large Language Model via Online LoRA Generation cites this paper.
LoRA-Gen: Specializing Large Language Model via Online LoRA Generation LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 2021
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9814c6e9-d4b1-496e-a5b1-b59cf8f1de35 · inbound
LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing cites this paper.
LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 15
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T09:07:14.676848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8297e1c4-b74b-4044-b004-dc1303d9888e · inbound
LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion cites this paper.
LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 35
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 88e4e900-82aa-4c00-815d-1a88128a8f51 · inbound
Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts cites this paper.
Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 19
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa5382ff-6992-4ef0-9f31-3da0570f372e · inbound
Tensorized Clustered LoRA Merging for Multi-Task Interference cites this paper.
Tensorized Clustered LoRA Merging for Multi-Task Interference LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T01:01:49.129551Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c00e9c35-9d85-44da-9e8b-2f01249c3ce2 · inbound
Joint Information Extraction Across Classical and Modern Chinese with Tea-MOELoRA cites this paper.
Joint Information Extraction Across Classical and Modern Chinese with Tea-MOELoRA LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 10
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b00fdbd6-519d-42ad-9c4c-d066329759de · inbound
Semantic-guided LoRA Parameters Generation cites this paper.
Semantic-guided LoRA Parameters Generation LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 2021
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1c3460a2-315e-4135-b7db-f1f8ca6f0e8e · inbound
GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models cites this paper.
GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 2023
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7db980d0-f40e-4964-be05-0818cbe9f3fb · inbound
SAMoRA: Semantic-Aware Mixture of LoRA Experts for Task-Adaptive Learning cites this paper.
SAMoRA: Semantic-Aware Mixture of LoRA Experts for Task-Adaptive Learning LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 19
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2ca2ca2b-2cb8-413f-a1ab-bef4a28f1c80 · inbound
Separable Expert Architecture: Toward Privacy-Preserving LLM Personalization via Composable Adapters and Deletable User Proxies cites this paper.
Separable Expert Architecture: Toward Privacy-Preserving LLM Personalization via Composable Adapters and Deletable User Proxies LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 20
- Resolution
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- arxiv_id, observed 2026-05-09T22:34:07.445943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f8dc5272-40e0-4a2c-a115-4cd1e538baf2 · inbound
Low-Rank Adaptation Redux for Large Models cites this paper.
Low-Rank Adaptation Redux for Large Models LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 72
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 83fd2a8d-6413-4ed2-814b-4736b7368b4b · inbound
The Override Gap: A Magnitude Account of Knowledge Conflict Failure in Hypernetwork-Based Instant LLM Adaptation cites this paper.
The Override Gap: A Magnitude Account of Knowledge Conflict Failure in Hypernetwork-Based Instant LLM Adaptation LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 15
- Resolution
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- arxiv_id, observed 2026-05-11T21:11:09.985837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5c5da74b-3c5b-4c47-9b79-805fc00a51f3 · inbound
The Override Gap: A Magnitude Account of Knowledge Conflict Failure in Hypernetwork-Based Instant LLM Adaptation cites this paper.
The Override Gap: A Magnitude Account of Knowledge Conflict Failure in Hypernetwork-Based Instant LLM Adaptation LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 15
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6d3081a0-d7ac-4752-9824-850483b728e8 · 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 LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 30
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 82575656-e725-4fbd-948f-740a9197edd1 · inbound
Output Composability of QLoRA PEFT Modules for Plug-and-Play Attribute-Controlled Text Generation cites this paper.
Output Composability of QLoRA PEFT Modules for Plug-and-Play Attribute-Controlled Text Generation LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 11
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 438803ec-618f-4807-ad0c-39e237afe02b · inbound
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts cites this paper.
PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T05:29:48.367727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4c3ebcc2-a4d1-4dd7-9ab2-7557b50108c1 · inbound
CRANE: Constrained Reasoning Injection for Code Agents via Nullspace Editing cites this paper.
CRANE: Constrained Reasoning Injection for Code Agents via Nullspace Editing LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0ea84ac0-0d71-4aac-98ad-272b106c8419 · inbound
CRANE: Constrained Reasoning Injection for Code Agents via Nullspace Editing cites this paper.
CRANE: Constrained Reasoning Injection for Code Agents via Nullspace Editing LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d8d9bf74-67e9-4768-ae99-b5374be9b251 · inbound
TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination cites this paper.
TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 67
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T18:02:42.330507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e31b7214-9d1a-47ce-a17a-81103f1432bd · inbound
PopuLoRA: Co-Evolving LLM Populations for Reasoning Self-Play cites this paper.
PopuLoRA: Co-Evolving LLM Populations for Reasoning Self-Play LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 57
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T21:42:48.077383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c36e1f09-e3b9-43a8-a4f5-74b933c44718 · inbound
Interference-Aware Multi-Task Unlearning cites this paper.
Interference-Aware Multi-Task Unlearning LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T10:28:12.050579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6b0266d1-8286-4e6b-beca-ceb984155718 · inbound
Mask the Target: A Plug-and-Play Regularizer Against LoRA Forgetting cites this paper.
Mask the Target: A Plug-and-Play Regularizer Against LoRA Forgetting LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 23
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T07:43:14.087091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9c2e5115-40e9-4f11-927e-ef3ed8753c0c · inbound
LoRA-Key: User-Centric LoRA Watermarking for Text-to-Image Diffusion Models cites this paper.
LoRA-Key: User-Centric LoRA Watermarking for Text-to-Image Diffusion Models LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 21
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T14:33:30.981000Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6d1b9797-41a7-4de9-a99e-fef8a56dae07 · inbound
Polaris: Scaling Up Instruction-Guided Image Generation Towards Millions of Personalized Style Needs cites this paper.
Polaris: Scaling Up Instruction-Guided Image Generation Towards Millions of Personalized Style Needs LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 78
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T22:46:18.652144Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 985d7a21-0e7e-4eec-85c3-52bab4ec8c2a · inbound
Compress then Merge: From Multiple LoRAs into One Low-Rank Adapter cites this paper.
Compress then Merge: From Multiple LoRAs into One Low-Rank Adapter LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T01:56:27.671576Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e09cbf6c-750e-4b28-8e5a-dab20b374c2e · 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 LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 57
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T02:26:26.720149Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7ca25be4-2451-41d4-8aac-d37606628cfe · 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 LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T07:44:25.325808Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d9e54ee7-178a-4d15-9602-cbbe59d9e1e3 · inbound
GLASS: GRPO-Trained LoRA for Acoustic Style Steering in Zero-Shot Text-to-Speech cites this paper.
GLASS: GRPO-Trained LoRA for Acoustic Style Steering in Zero-Shot Text-to-Speech LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 16
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T15:27:04.861463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9f84f579-7350-4564-858e-16c9d3a4d657 · inbound
Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution cites this paper.
Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T15:07:04.824829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 93955428-8773-4afb-bb04-60b0b84b4cd6 · inbound
Substrate Asymmetry in User-Side Memory: A Diagnostic Framework cites this paper.
Substrate Asymmetry in User-Side Memory: A Diagnostic Framework LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 49
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T10:27:57.082610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a1334558-a918-4255-9270-f7de6d87a922 · inbound
ARIADNE: Agnostic Routing for Inference-time Adapter DyNamic sElection cites this paper.
ARIADNE: Agnostic Routing for Inference-time Adapter DyNamic sElection LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 20
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T00:49:19.539395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4c2ca41f-2337-4fa7-b2a9-085b964e850e · inbound
User as Engram: Internalizing Per-User Memory as Local Parametric Edits cites this paper.
User as Engram: Internalizing Per-User Memory as Local Parametric Edits LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T01:09:19.461320Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 605d9910-bb74-45ca-81a6-babd010b07b8 · inbound
Predicting Mergeability of Parameter-Efficient Fine-Tuning Updates cites this paper.
Predicting Mergeability of Parameter-Efficient Fine-Tuning Updates LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 37
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T00:49:17.725222Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 33836869-1ece-4c18-91d7-2696433ca496 · 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 LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 10
- 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 b3cd21cc-3fd4-4e93-9677-6b9770e698a4 · 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 LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T07:52:08.823198Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d464988d-6bee-4703-9dbb-4d22ff0b7982 · inbound
Rethinking Transfer in Continual Learning: A Replay-Based Realisation cites this paper.
Rethinking Transfer in Continual Learning: A Replay-Based Realisation LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T22:57:59.837823Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f3994e5-5d43-42dd-9295-dc031b4b8888 · inbound
Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach cites this paper.
Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T22:43:39.527353Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c13b5b3-212d-4086-ab96-f12f1ba5829c · inbound
SkillSmith: Learning to Compose Parametric Skills and Textual Knowledge cites this paper.
SkillSmith: Learning to Compose Parametric Skills and Textual Knowledge LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:52:15.838281Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0bc0f811-9f18-4163-a63c-8e36cdc13815 · inbound
Hyper-ES: Effective Evolution Strategies for LLM Reasoning via Descent Direction Merging cites this paper.
Hyper-ES: Effective Evolution Strategies for LLM Reasoning via Descent Direction Merging LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T11:15:06.829944Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.