Pith. sign in

Paper Citation Record · LEDGER

Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2403.03432.

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

pith.paper-citation-record.v1
2403.03432 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:21:52.851641Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T20:21:57.927789Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ce75c033-9535-48b2-bef8-2046e43fc1f9 · 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-LoRAs: An Efficient Multitask Tuning for Large Language Models

Reference 94

Resolution
verified exact
arxiv_id, observed 2026-05-13T11:32:37.019118Z

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:cc65c1113a8ef2be65f2acda9ee4b881fa4e6f63fdd5315814dbcee34b8a326c

Observation 64849eec-e169-4430-a3c0-e8bbf724925e · inbound

PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning cites this paper.

PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-15T20:21:57.930434Z

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=2026-05-15T20:21:57.873354Z digest=sha256:470cb0e87fd536e78e8e30aae7a53ada830a11517800481af415c824dc43739a

Observation d88e5faa-4000-414f-ab35-da7d9b797cda · inbound

CoLA: Collaborative Low-Rank Adaptation cites this paper.

CoLA: Collaborative Low-Rank Adaptation Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T15:21:52.851641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:21:52.851641Z digest=sha256:3a3ec01ce613a8c5b4b612aea2dd97d3676021e5ec7c9b92d171db73ff12ca4a

Observation ddc92d2a-fe5e-400c-b907-f1a3a6d73d7c · inbound

A Survey of LLM $\times$ DATA cites this paper.

A Survey of LLM $\times$ DATA Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models

Reference 140

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:13.073295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:13.073295Z digest=sha256:bf51412e56fd97707a1eb51ef48b78de3e30904b26b3182b4b754a0c40485fa3

Observation 9e1579ba-7cd4-415f-aaf4-a41f7775d01c · inbound

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation cites this paper.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T04:09:24.368828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:09:24.368828Z digest=sha256:68dad6d079748278ad9457774bf62dde4bd50625aefe025f26861da914c236c1

Observation 20708068-61ae-4a48-966c-274ddbd34f87 · 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-LoRAs: An Efficient Multitask Tuning for Large Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T16:35:24.388242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:35:24.388242Z digest=sha256:79034c0c1b7f2f2226ae724cb5e2db6dbbfc04f95d1b021312d580abc53c5bb7

Observation 50b04559-03a7-4337-bf78-20cc9713d4c7 · inbound

Survey of Specialized Large Language Model cites this paper.

Survey of Specialized Large Language Model Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T15:37:49.222691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:37:49.222691Z digest=sha256:7a1a5f59923ed8ba1406d9946b57f2c966e06d0f4039dfbc3c9b98c5c8f7d6a7

Observation a998bcb7-ccb8-48c2-9103-5237a4d3ae33 · inbound

Train Large, Deploy Compact: Structured Compression for Compact Low-Rank Adaptation cites this paper.

Train Large, Deploy Compact: Structured Compression for Compact Low-Rank Adaptation Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T13:30:59.403201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:30:59.403201Z digest=sha256:c77996f6d1b74ff4c229383b98e61af0620e1efd6f56410bd8702ce6be741be9

Observation 1c890d78-6dd2-4077-9c5c-72d906c8b883 · inbound

Multi-Task GRPO: Reliable LLM Reasoning Across Tasks cites this paper.

Multi-Task GRPO: Reliable LLM Reasoning Across Tasks Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-03T04:17:27.225554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:17:27.225554Z digest=sha256:19135f1c489483f25572dca9a06c50541e45b0fb66e77560f0695598832babd8

Observation a0aff71a-5a2f-4ca7-872b-23f0c4f6b373 · inbound

Cross-Lingual Transfer and Parameter-Efficient Adaptation in the Turkic Language Family: A Theoretical Framework for Low-Resource Language Models cites this paper.

Cross-Lingual Transfer and Parameter-Efficient Adaptation in the Turkic Language Family: A Theoretical Framework for Low-Resource Language Models Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:09:57.858786Z

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=2026-05-15T11:07:44.497336Z digest=sha256:c59bbd9890e87669730874fa7df86a631abcb0f0ff5099f1b8b869ef43fd0c1d

Observation 0e199015-cf4d-4c2a-bf41-5b3eb7d2cac3 · 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 Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:01:24.471647Z

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=2026-05-07T13:22:13.763578Z digest=sha256:66edc573ecde16614597fe5c78af73cb795e47214f304b96c34f1a18d13dbe68

Observation 7179549f-8ab2-49ed-a113-da6ee1e7531e · inbound

MetaMoE: Diversity-Aware Proxy Selection for Privacy-Preserving Mixture-of-Experts Unification cites this paper.

MetaMoE: Diversity-Aware Proxy Selection for Privacy-Preserving Mixture-of-Experts Unification Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:23:31.885417Z

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=2026-05-15T02:21:10.641070Z digest=sha256:131d88883962918723a5886939c4abd6a00128454b9bcd45c165f04a404eb1a7

Observation c567965b-5d12-4aa6-8e6b-aeb25cecefaa · inbound

CL-Anomaly: Layer-Adaptive Mixture-of-Experts with Multimodal Large Language Model for Continual Learning in Anomaly Detection cites this paper.

CL-Anomaly: Layer-Adaptive Mixture-of-Experts with Multimodal Large Language Model for Continual Learning in Anomaly Detection Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-12T06:01:58.407747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T06:01:58.407747Z digest=sha256:5130344f2eaf3e2db80b143a2b776c9c77c03bed921a03a7a530d24b2f2a4346