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Paper Citation Record · LEDGER

Mixture of LoRA Experts

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 40 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 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 40 of 40 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:33:09.665582Z

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

Reference resolution

0 of 0 outbound references displayed

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T11:32:36.738536Z digest=sha256:e2250aeee11a4686e5e2c6e0be51090ffb13af3802a003405668539d3974f0f6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T19:35:29.917096Z digest=sha256:b8809598b05ad5ae29ae57ff08b0ff2591b3dc2c12d4b77e1467f957ff30f321

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:b5aaa2dde0daed9f76981d16e33e1b9cbc3a3c773fb40842e05475cc63f045b9

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:b61c95c62ac777e616bd0d83a4228765cd9b474c8d149719038b3385121d38de

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=sha256:6116b744c2e826bc93732d5597864ee8831b1edf4034f257ec00a7fc70cd1c4f

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:c920a1d3c0815412707ec91bc65ed023cb8bd2c8cfc7d2bc18c1ffabded3a337

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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no resolver link, observed 2026-08-07T13:58:13.402299Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:58:13.402299Z digest=sha256:b37da3b56d6312031c86cb04c736268fcd85403d1a9c2d9cfa41e0333570a8f7

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=sha256:0ba285a514aed381499370d72b6b3511a4fb8c2b1448ce1a4ca8f03684a13f07

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:59:27.074703Z digest=sha256:76c47c769baede528116c067a8d1cec529d817d4f3e9107714ca9157d394f80c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T09:05:25.236355Z digest=sha256:a34c19131e212d1b583d21bffbf076cc7b5c85a3cb3cbc89441658a6c2083f5e

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=sha256:07114d851bc5fbe177b4f935d91b8a1252597be14a17962623879c27de11e104

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:56:01.409447Z digest=sha256:cccf61a621aaedbba956f09261009e5db493d7eb8233273b5a6dcea504550cfb

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
unresolved
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=sha256:71bec44b89236da5ef557feb464b32f6d5c5c7edb7db8cfc31a926910632946a

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-21T21:58:12.430340Z digest=sha256:32f7885c63f0dfe7f7411b98823f4fdc469744b79d3f1932598f0eec7343a98a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T20:53:58.198974Z digest=sha256:e14de81259b11ed15b01a787f51421a464308c308fb631ddf5fdabfe7aeb8840

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=sha256:586f33c656a17b0986c6631741371b6313d216e9d06e73c2e89c23dc9b263c40

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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malformed identifier
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T19:24:50.199240Z digest=sha256:d62669a8a732a3578b1671d570780df084c3404659f61d044c7a606cca1b37bf

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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verified exact
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-09T21:48:48.992712Z digest=sha256:661a43f0bec3b88a94d7c3c7382c0914813ab5f4b46ea24066a3fa7fb836da7f

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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verified exact
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T06:39:00.768904Z digest=sha256:64100e2bb0ebd353b52c3623524b790236789d18c1ef979952afda21bddc2237

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T03:21:58.428036Z digest=sha256:ee49a4f891b7266efdc2cc83b67f523b2bc1476c669457b7e96c201e0242459f

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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verified exact
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-11T01:52:51.777228Z digest=sha256:d21fec22aac32e4a61d7d41d11a19b44194ae7e1d313bb8d2f141a7fd1258ecf

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T06:39:15.694127Z digest=sha256:f0197fcc02eb4f9300906f0d92f233b78f12019669afcebfac89c8874ee1beaa

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T23:08:17.712026Z digest=sha256:f7e27fac5a9fbb65cf72f65daf045775867c3ef94cfa9f38cf83a18b109d87a1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T10:56:13.058872Z digest=sha256:cc64ea90fabaf800d8d19aec3a55380e312676fcc13c06b3b21c28bde600311a

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=sha256:423f69fc2124b85022ae3a298adc50a8e374f929a210f3bca06507aa3cbcb472

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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T13:36:47.810747Z digest=sha256:e4575b85f3ea2755a7967bd744ae439221a6e9531a7979a1669fd139c65cd528

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-26T14:18:11.215278Z digest=sha256:985c0dee838ada6fc07a1fd94ae56a46dc4982b58dae71a04e9463e57e701ab0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T07:40:21.132616Z digest=sha256:bd4eecfbe18cf7815f0c2e57175dd176d7bbb08eec81c5a50d78611ccd7f1b8c

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-01T06:55:06.270685Z digest=sha256:39d9cc2d3ca6adaea1d155b1a0d0af6d77185d580cb38dedfa426fba288000d9

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=sha256:7d9e7edbeb1525a8ce8adbd1c9d3f9c2c3aca0eca2449ecd4d5c4a00a7285442

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-01T05:53:55.141657Z digest=sha256:95a7e1b9c931ed350b1f25ad2ef2740b235faae46e8bb45467981e994b207eeb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T19:53:25.252752Z digest=sha256:1bbf040678ebfbf75b0dbe4c7b8dcc48982061b27f4b5b00890085c242cd98d3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-03T22:08:53.025783Z digest=sha256:a1102d851a99766ffbf9086eb08a290576931bb4f548b3a910ce3e3ac6f9375e

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

Resolution
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=sha256:230685d397439335f803a0fb8d2b572a4857d967454dcf454505c672a680ff50

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T13:48:36.708969Z digest=sha256:b929126196bde58fc789ad3dd0e5df0bc360dcdac75f52027e191c2a969c9254

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

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

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source=arxiv_source observed=2026-08-02T09:51:03.791950Z digest=sha256:973302c14e1c37c759410e2f24d8b51750c840cb47117e9817ac86bd39a98fe7

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:07:52.112453Z digest=sha256:80a90a86399a5363c9bdd9f3420ce89564e1b98f8ff23f9c11aa3ffa2ec55895

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

Resolution
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:a0047820dae8263e03f0243d33cfce8fc609bf116c30134815428522a9f1f871

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

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source=pdf_text observed=2026-08-01T17:56:04.725903Z digest=sha256:72a03c995d4318e8b765bfed54035c8d0ca712dd58bedfa097778a2d856387a6

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=sha256:8e66b7cd4f3ab57813f2952a223f77fc15956aaf7da0bcec15fb032a34b7d321