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Paper Citation Record · LEDGER

MultiLoRA: Democratizing LoRA for Better Multi-Task Learning

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2311.11501.

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

pith.paper-citation-record.v1
2311.11501 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:32:23.065095Z

measured 1 of 1 external citation measurements

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

1
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 237e8116-5955-41c6-9f96-467402e5c900 · inbound

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection cites this paper.

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection MultiLoRA: Democratizing LoRA for Better Multi-Task Learning

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:51:50.256051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-16T23:51:50.163520Z digest=sha256:a3637cf6e2600109f6b1f33f7707dbbf0e76cf164fa83c782baa21dd3c18852f

Observation 125cdde4-f1f3-4511-8d76-95481deaef02 · inbound

Multi LoRA Meets Vision: Merging multiple adapters to create a multi task model cites this paper.

Multi LoRA Meets Vision: Merging multiple adapters to create a multi task model MultiLoRA: Democratizing LoRA for Better Multi-Task Learning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T15:37:00.389715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:37:00.389715Z digest=sha256:3e82362264334947e6137230f5ebd3d85745a1812e778681526d4d5d77bd261f

Observation b0e63586-ba97-4340-ad91-e9e5e10211a0 · inbound

Small Language Models (SLMs) Can Still Pack a Punch: A survey (updated 2026) cites this paper.

Small Language Models (SLMs) Can Still Pack a Punch: A survey (updated 2026) MultiLoRA: Democratizing LoRA for Better Multi-Task Learning

Reference 132

Resolution
verified exact
arxiv_id, observed 2026-05-23T05:52:37.589188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-23T05:47:48.488826Z digest=sha256:246170bb67be873fd7063350b825dcbee63edc5f71ae4727f122e797ddb9169f

Observation f685a2b4-33da-4227-b7ed-ea09131120f7 · inbound

Ensembles of Low-Rank Expert Adapters cites this paper.

Ensembles of Low-Rank Expert Adapters MultiLoRA: Democratizing LoRA for Better Multi-Task Learning

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-09T20:29:52.672748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T20:29:52.672748Z digest=sha256:f4be13357c73279469161e896bf27453c3038666835065a418f8ee39f677ffc4

Observation 1ff74c5d-e815-4b4c-9c86-0e9227faec2f · inbound

KARST: Multi-Kernel Kronecker Adaptation with Re-Scaling Transmission for Visual Classification cites this paper.

KARST: Multi-Kernel Kronecker Adaptation with Re-Scaling Transmission for Visual Classification MultiLoRA: Democratizing LoRA for Better Multi-Task Learning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-08T14:25:30.541433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:25:30.541433Z digest=sha256:43fd4f39d9ea8fdf48067ae2747602d1c6f85de21ce245ae66a31b65a7dec9e0

Observation 479f9884-0956-470e-b977-88835b209f7d · inbound

GaLore 2: Large-Scale LLM Pre-Training by Gradient Low-Rank Projection cites this paper.

GaLore 2: Large-Scale LLM Pre-Training by Gradient Low-Rank Projection MultiLoRA: Democratizing LoRA for Better Multi-Task Learning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-16T05:32:23.065095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:32:23.065095Z digest=sha256:4fbfb6d4491fd872c6534491ccf3d9d3db3c50f03bcf0645d4179f06bb85744f

Observation 617ae5ee-343e-46e1-8fa9-9f93e6a78aec · inbound

Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients cites this paper.

Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients MultiLoRA: Democratizing LoRA for Better Multi-Task Learning

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-16T04:19:19.816457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:19:19.816457Z digest=sha256:1e9836d704f19ba1645a418f71a49c3e6e24d0b0e1489d6f9c3cc4ca0ef7aade

Observation ac25909f-0df5-4df4-9853-976f4e1c68d7 · inbound

MLorc: Momentum Low-rank Compression for Memory Efficient Large Language Model Adaptation cites this paper.

MLorc: Momentum Low-rank Compression for Memory Efficient Large Language Model Adaptation MultiLoRA: Democratizing LoRA for Better Multi-Task Learning

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:52:15.096529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-19T10:50:36.629493Z digest=sha256:29bd452ae36c64cd5a617f065a50d4b222faaf5476b69d29c3a04e5ed4c209a1

Observation 668cf11b-89aa-4f29-a3a6-2b1ee4075729 · inbound

LobRA: Multi-tenant Fine-tuning over Heterogeneous Data cites this paper.

LobRA: Multi-tenant Fine-tuning over Heterogeneous Data MultiLoRA: Democratizing LoRA for Better Multi-Task Learning

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-05T12:56:44.095719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:56:44.095719Z digest=sha256:f07258cd3927c4fc6f6152afd495c822141c93a59a94c42d6dbb0c282e25d380

Observation e7b8d7b5-6a95-444b-a841-925186dcfaad · 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 MultiLoRA: Democratizing LoRA for Better Multi-Task Learning

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-10T02:27:36.434562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-10T02:26:55.896058Z digest=sha256:bc84e301a1840d6864341a4bc7ce63fbc7e867a002665959ce3b7c97959b611d

Observation 0c611f8d-0dc1-42e0-973c-4d4946c5235e · inbound

Dr. Post-Training: A Data Regularization Perspective on LLM Post-Training cites this paper.

Dr. Post-Training: A Data Regularization Perspective on LLM Post-Training MultiLoRA: Democratizing LoRA for Better Multi-Task Learning

Reference 200

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:05:56.591812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-11T01:57:40.347786Z digest=sha256:cda81c1b211a39b88f47d4cece4b7c847707502a56097d3049db0ef98922b72e

Observation 17a24fec-48bf-4670-8c2f-fc94ad97b185 · inbound

PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts cites this paper.

PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts MultiLoRA: Democratizing LoRA for Better Multi-Task Learning

Reference 88

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T05:29:48.232464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-15T05:25:38.967645Z digest=sha256:2d537f67bdb110a835603f3989a1cd59885d62c3ba5503e8de8be9f67abdeadc