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Paper Citation Record · LEDGER

Mixture of LoRA Experts

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 41 inbound Pith citation observations for arXiv:2404.13628.

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

pith.paper-citation-record.v1
2404.13628 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 41 of 41 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:58:45.805889Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:39:37.922322Z

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 58e94530-c5c5-47a6-bb3c-702fad16a567 · inbound

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey cites this paper.

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey Mixture of LoRA Experts

Reference 95

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arxiv_id, observed 2026-05-13T11:32:37.021584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T11:32:36.738536Z digest=sha256:0043d8f63bb2eea51a7509a62fcd256535c2f9399a2a7efbb9c51ddbd8183d4c

Observation 1783c5ad-052f-4844-8552-f8d0a88fb7b1 · inbound

Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs cites this paper.

Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs Mixture of LoRA Experts

Reference 8

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arxiv_id, observed 2026-05-23T19:35:47.167552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T19:35:29.917096Z digest=sha256:fd5da7f6eb16fa49c9e6ab3c970da8f3b5f3fc26b9d11250c60496a233b72a7e

Observation 66a4c6fc-11a5-4240-b16a-ab4c775e91a0 · inbound

CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing cites this paper.

CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing Mixture of LoRA Experts

Reference 53

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no resolver link, observed 2026-08-09T13:58:45.805889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:58:45.805889Z digest=sha256:b075b647481aefeaad1e714a6964fff9f0d18210378e7e6bd2c9fe727e125599

Observation 77eca3f7-f291-4663-929b-ca31ca4a40c3 · inbound

When One LLM Drools, Multi-LLM Collaboration Rules cites this paper.

When One LLM Drools, Multi-LLM Collaboration Rules Mixture of LoRA Experts

Reference 119

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no resolver link, observed 2026-08-08T22:33:09.665582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:33:09.665582Z digest=sha256:5421f654bb7c7c4c9de34c18859be6c5da97dcd168a37ab61600c9110ee8d61b

Observation 046cf51f-56d0-4541-ad0e-eaa7dbec84f3 · inbound

TransMLA: Multi-Head Latent Attention Is All You Need cites this paper.

TransMLA: Multi-Head Latent Attention Is All You Need Mixture of LoRA Experts

Reference 41

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no resolver link, observed 2026-08-08T11:48:01.250501Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-08T11:48:01.250501Z digest=sha256:60546e9c5f9eba069f79adcee287bcfc45ddd40859522a043a435003eae8593c

Observation 3a462e31-55e9-4610-b288-d2a854defeb3 · inbound

$\mu$-MoE: Test-Time Pruning as Micro-Grained Mixture-of-Experts cites this paper.

$\mu$-MoE: Test-Time Pruning as Micro-Grained Mixture-of-Experts Mixture of LoRA Experts

Reference 57

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no resolver link, observed 2026-08-07T14:34:13.965720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:34:13.965720Z digest=sha256:48e77685e3e5f7e25642139d4a73a8381c56fd921cbce2dbfba680c1604606bf

Observation 4ab9749c-824a-4b17-b41d-6ae215953896 · inbound

Guiding the Experts: Semantic Priors for Efficient and Focused MoE Routing cites this paper.

Guiding the Experts: Semantic Priors for Efficient and Focused MoE Routing Mixture of LoRA Experts

Reference 38

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no resolver link, observed 2026-08-07T14:33:36.228616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:36.228616Z digest=sha256:6d1bdaba0545a885a4ad03cc2fc8c73c72a933ebcbe3a5db4f2a6d9320908459

Observation 5748e1b2-b35f-49d5-b34c-db97b78c8201 · inbound

MultLFG: Training-free Multi-LoRA composition using Frequency-domain Guidance cites this paper.

MultLFG: Training-free Multi-LoRA composition using Frequency-domain Guidance Mixture of LoRA Experts

Reference 14

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source=pdf_text observed=2026-08-07T13:58:13.402299Z digest=sha256:b3ac56dd7dc303ce24beacc42ced8efae0bbb64ec0eb0639df1a06100a5a8b91

Observation 7123e31c-e79a-4807-a14d-7af9e7b08e52 · 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 LoRA Experts

Reference 92

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:04:35.107375Z digest=sha256:826c29a61d2296444a3b378d91c24b76e2d3449caa07f44cefd8ef3dcceb7200

Observation 8be6d044-787c-447f-b91e-44cc2dd8c9fb · inbound

PFMBench: Protein Foundation Model Benchmark cites this paper.

PFMBench: Protein Foundation Model Benchmark Mixture of LoRA Experts

Reference 69

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no resolver link, observed 2026-08-07T11:59:27.074703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:59:27.074703Z digest=sha256:f171860b5764b70753c7918ea23ed57f22e22b939b0f5a78aea062faaac2f80c

Observation 9c793eb6-152f-4779-85cb-ebaf0b80e027 · inbound

LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing cites this paper.

LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing Mixture of LoRA Experts

Reference 14

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arxiv_id, observed 2026-05-19T09:07:14.664373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T09:05:25.236355Z digest=sha256:950f97857abac563ad01b80d8fc924581577ce648f86f2eb1875ab8acd4f68c3

Observation de67dcb1-6d43-4968-a2ae-9aa076c3f821 · inbound

R^2MoE: Redundancy-Removal Mixture of Experts for Lifelong Concept Learning cites this paper.

R^2MoE: Redundancy-Removal Mixture of Experts for Lifelong Concept Learning Mixture of LoRA Experts

Reference 33

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no resolver link, observed 2026-08-06T16:35:24.446607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:35:24.446607Z digest=sha256:25b769045e353151d0de6718f923370cda326879fd79d91b6329e4696aae6234

Observation 7e9f2b1b-0615-4e0a-979c-1fc2c07235d6 · inbound

ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation cites this paper.

ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation Mixture of LoRA Experts

Reference 61

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no resolver link, observed 2026-08-06T00:56:01.409447Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:56:01.409447Z digest=sha256:f6aae36119a2c18eeba57d517b18c7fa3f4b8a85539233eadc71a2245b5df799

Observation e68304db-0e8b-44af-b850-9154bb8c77a5 · 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 Mixture of LoRA Experts

Reference 24

Resolution
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no resolver link, observed 2026-08-05T12:54:05.474952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:54:05.474952Z digest=sha256:b118ed8b4e67a750a4540bba43991c6ccd5b07dad58ddb919ce8bb4304e11ffb

Observation 881667dd-d74d-4311-9975-77c43aa94fa0 · inbound

FediLoRA: Practical Federated Fine-Tuning of Foundation Models Under Missing-Modality Constraints cites this paper.

FediLoRA: Practical Federated Fine-Tuning of Foundation Models Under Missing-Modality Constraints Mixture of LoRA Experts

Reference 39

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verified exact
arxiv_id, observed 2026-05-21T22:00:41.424729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-21T21:58:12.430340Z digest=sha256:714c068201f8eaf96e71baed5db17138ca434562252dbd9e9837a20683a7c587

Observation 1aa84a1b-fd2d-41d3-8a3f-43963cbd8228 · inbound

Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts cites this paper.

Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts Mixture of LoRA Experts

Reference 32

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arxiv_id, observed 2026-05-21T20:54:21.509146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T20:53:58.198974Z digest=sha256:490e8ae5bb3cc73dafbc032dc42b3e214bfdefbcd0183e8455f287305ea5ae74

Observation 6f6f95ba-69e1-47e0-bb8b-626c70c2b2a8 · 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 Mixture of LoRA Experts

Reference 32

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no resolver link, observed 2026-08-02T19:55:06.850356Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T19:55:06.850356Z digest=sha256:0781594ff909eef73238864244e3340cc1d27ed3111a6253e27011e95f4b4089

Observation 6c3b848f-e391-440b-b915-a6d8c0158a9c · inbound

OrthoFuse: Training-free Riemannian Fusion of Orthogonal Style-Concept Adapters for Diffusion Models cites this paper.

OrthoFuse: Training-free Riemannian Fusion of Orthogonal Style-Concept Adapters for Diffusion Models Mixture of LoRA Experts

Reference 33

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arxiv_id, observed 2026-05-10T23:00:49.638962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T19:24:50.199240Z digest=sha256:897a208b5f6c7d584baafde6ff3c4a9c00d00ba52716a7c9c2959443d0eb19c3

Observation b3fbc2a7-01ce-4bc6-9fbe-d15319a25718 · inbound

Low-Rank Adaptation Redux for Large Models cites this paper.

Low-Rank Adaptation Redux for Large Models Mixture of LoRA Experts

Reference 209

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arxiv_id, observed 2026-05-11T14:26:03.862103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T21:48:48.992712Z digest=sha256:2bdf59c89ce8cb1a7fa533471641b2d7683f18cf36e236f609f0c510630ab9db

Observation ad2130b2-5405-476c-b534-688cc2b5cd97 · 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 Mixture of LoRA Experts

Reference 35

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arxiv_id, observed 2026-05-11T21:11:10.004735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T06:39:00.768904Z digest=sha256:84d74c4d8e6c122b128542d1f9654f9b8ccbd474d70d669e4f9b09dbc959d952

Observation b6470122-8b55-4aea-8de4-dd5f0cb6b402 · 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 Mixture of LoRA Experts

Reference 35

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verified exact
arxiv_id, observed 2026-05-12T07:21:26.864265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T03:21:58.428036Z digest=sha256:cea53a93df52e5b5a82a4d3e1e84adbecc77a98900fc8944f8d7cdd9b8145f8a

Observation f1b36bea-3d2f-4e5b-bc57-7bec52aba371 · 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 Mixture of LoRA Experts

Reference 13

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arxiv_id, observed 2026-05-11T04:15:57.054782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T01:52:51.777228Z digest=sha256:19ab74fd152b5e146d799678cb036cd454d87e15e509b064bc6cff85d1f653b8

Observation a3904fd5-a947-4346-97e0-3d82ce0e2788 · 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 Mixture of LoRA Experts

Reference 8

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arxiv_id, observed 2026-06-29T14:33:31.005269Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T06:39:15.694127Z digest=sha256:cbf6363e7218ff0e454f746d4900cdb1b437fe174c822a65d57585951a892b53

Observation a64a25a2-1a6e-4322-b56e-e323f69dbb00 · inbound

CRMA: A Spectrally-Bounded Backbone for Modular Continual Fine-Tuning of LLMs cites this paper.

CRMA: A Spectrally-Bounded Backbone for Modular Continual Fine-Tuning of LLMs Mixture of LoRA Experts

Reference 43

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arxiv_id, observed 2026-06-28T23:12:47.012352Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T23:08:17.712026Z digest=sha256:9a2b18cdfd723fcb15a8872391cad389b898087fea5b568efa0a57f1dc2a3094

Observation a9cbdd6f-e0f1-4ced-9c0a-5f411e805efe · 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 LoRA Experts

Reference 99

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arxiv_id, observed 2026-07-02T02:26:26.697066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T10:56:13.058872Z digest=sha256:60324f19cb34a4b6f4ede9ef4406f526eb15062d720dc95a7b546f48e3e829f0

Observation b4806ebd-6b51-4e5c-9527-882a1433ea46 · 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 LoRA Experts

Reference 99

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T07:44:25.325808Z digest=sha256:7476acb5061688e9643b5be18ebf6989a87033f703ae743a9b4702d0c6b351c0

Observation 4a472e4a-2e47-4dd0-b75c-768efb67f143 · inbound

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models cites this paper.

SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models Mixture of LoRA Experts

Reference 49

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arxiv_id, observed 2026-07-03T04:47:38.618695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T13:36:47.810747Z digest=sha256:cc44f7c10dce0bf1d21773d00b495eed1801a7332db2f8a402ed78cca0930bd2

Observation 0616e547-e21d-40bc-891f-9aa54dc2a2ed · 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 LoRA Experts

Reference 126

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arxiv_id, observed 2026-07-04T06:39:37.923634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T14:18:11.215278Z digest=sha256:c509bfeb6931bdaa6008a65a801c1e04440d805aa7f75db94940cf9aecc44e89

Observation 660b4108-f761-49e8-a1e4-e417aabda9d9 · 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 Mixture of LoRA Experts

Reference 22

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arxiv_id, observed 2026-06-30T07:44:21.915082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T07:40:21.132616Z digest=sha256:6f28b40fb7e4858f537fafc57841aa190de5f71b21e8b81771e048679c7bc0f9

Observation 52794ce1-dd54-44ff-ad29-47be824b08b4 · inbound

Mixture-of-Control: State-Aware Fine-Tuning for Transformer-based Models cites this paper.

Mixture-of-Control: State-Aware Fine-Tuning for Transformer-based Models Mixture of LoRA Experts

Reference 54

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verified exact
arxiv_id, observed 2026-07-01T06:55:28.733534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-01T06:55:06.270685Z digest=sha256:d26b1db8d34c6811736ce06d4dfef102e3c447ad244c810770a602131c0a3d95

Observation b614ac22-c480-4174-b105-baad36f7b618 · inbound

Learning to Select, Not Relearn: Hard-Routed Mixtures of Reasoning LoRAs cites this paper.

Learning to Select, Not Relearn: Hard-Routed Mixtures of Reasoning LoRAs Mixture of LoRA Experts

Reference 6

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unresolved
no resolver link, observed 2026-08-02T09:39:41.330490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:39:41.330490Z digest=sha256:c22235bd39f3936e217c5f0c0bd49faf5f40b79c6a12390d3b516e6834134e9b

Observation 7e3e828d-da63-46e3-b292-7cd412666567 · 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 Mixture of LoRA Experts

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-01T10:05:41.012097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T05:53:55.141657Z digest=sha256:93719d2d93112a4c32e83f0bc703d6c4a031fbb2b3ff3c4fd864b952c9f2726c

Observation c878494d-8e29-4378-b95c-314a0382f349 · 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 Mixture of LoRA Experts

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-02T19:57:19.023192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-02T19:53:25.252752Z digest=sha256:d88fa8a1f651efc8b6eab89d717b8d33d7c6e415eefe6a65cdbaeeeae8973245

Observation c7413d0c-f398-4343-b215-1e69504a7d61 · 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 Mixture of LoRA Experts

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-03T22:08:58.520704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-03T22:08:53.025783Z digest=sha256:17b0c8c9902915a8f7665b951a0e5dc7ab2ca3a31424ab99ca0f5f156dc402ea

Observation 5e3fa6a5-cd39-4bf1-906f-a7343c049230 · inbound

Parametric Memory Decoding for Zero-Shot Routing in LoRA-Based External Parametric Memory cites this paper.

Parametric Memory Decoding for Zero-Shot Routing in LoRA-Based External Parametric Memory Mixture of LoRA Experts

Reference 59

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unresolved
no resolver link, observed 2026-07-11T21:34:44.701020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T21:34:44.701020Z digest=sha256:a4ca4a1e89ca94143575def57b465192af5aecdfebbf734156671b4fac91c3cd

Observation b572ee75-b0d1-4ce7-a919-5d4e37abdf3b · inbound

EmoStyle: Affective Conditioning of Style-Specialist Experts for Emotional Image Generation cites this paper.

EmoStyle: Affective Conditioning of Style-Specialist Experts for Emotional Image Generation Mixture of LoRA Experts

Reference 73

Resolution
unresolved
no resolver link, observed 2026-07-14T13:48:36.708969Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-14T13:48:36.708969Z digest=sha256:9e6c04e64fcce398143f42dbbad4bcb8a51f2ae086b078348869103fc0a75944

Observation f9a97719-a173-4dd1-a48c-5157c601d546 · 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 Mixture of LoRA Experts

Reference 224

Resolution
unresolved
no resolver link, observed 2026-08-02T09:51:03.791950Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T09:51:03.791950Z digest=sha256:105c0043df258b0793c78feb6bfc9641cbc1a27cc0e156168174e5951922bca4

Observation 0b28b788-a951-4aeb-941b-e8686dc332bb · inbound

Multi-Dimensional Quality Assessment for AI-Generated Human-Centric Videos: Dataset and Model cites this paper.

Multi-Dimensional Quality Assessment for AI-Generated Human-Centric Videos: Dataset and Model Mixture of LoRA Experts

Reference 102

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unresolved
no resolver link, observed 2026-08-01T20:07:52.112453Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T20:07:52.112453Z digest=sha256:9ab2739542458e6740607108add8d91f73040d5bac853e1737d0f12f8af72964

Observation 9ea688e6-c592-447c-afcc-fffb4aa5d514 · inbound

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities cites this paper.

Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities Mixture of LoRA Experts

Reference 18

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unresolved
no resolver link, observed 2026-08-01T19:43:08.982564Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T19:43:08.982564Z digest=sha256:9308fe3264a39cb95d7bbdd56910e42b635f4889c038298bbf32718406ce0fbf

Observation 3891c7ae-7712-42db-9ed3-81a1ec0f7fcf · inbound

DA-MergeLoRA: Hypernetwork-Based LoRA Merging for Few-Shot Test-Time Domain Adaptation cites this paper.

DA-MergeLoRA: Hypernetwork-Based LoRA Merging for Few-Shot Test-Time Domain Adaptation Mixture of LoRA Experts

Reference 51

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no resolver link, observed 2026-08-01T17:56:04.725903Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T17:56:04.725903Z digest=sha256:6306393184f1f9b891ccddc3d73a2462427bc95c806595d03dbcfec99fef8f51

Observation 37d8ab5a-cb8b-4f28-ba32-843a21bbdaf7 · inbound

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting cites this paper.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting Mixture of LoRA Experts

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-03T15:00:01.697877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:00:01.697877Z digest=sha256:18ea7792f715a234b430bd2c684dc630358df268c05ccf08ddb7a171621b4124