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Paper Citation Record · LEDGER

One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2306.07967.

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

pith.paper-citation-record.v1
2306.07967 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:25:30.538361Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T22:57:26.700322Z

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 3daba8fd-78ee-417f-b503-3eab236a1cc8 · 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 One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

Reference 14

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no resolver link, observed 2026-08-08T14:25:30.538361Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:25:30.538361Z digest=sha256:9d9ebb621303ddfb6cc850c05485231a4928ddfbe6798fac552997534af5aeff

Observation f4742288-30c0-4526-a16d-493fae376ceb · inbound

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

MultLFG: Training-free Multi-LoRA composition using Frequency-domain Guidance One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

Reference 2024

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no resolver link, observed 2026-08-07T13:58:12.822411Z

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source=pdf_text observed=2026-08-07T13:58:12.822411Z digest=sha256:7952dd5b6997e783c60b0c67aa6553487fc7df6b4467736e5d21413d7932efa8

Observation 5b16eae0-3f85-4de5-b389-b9d959349518 · inbound

DA-VPT: Semantic-Guided Visual Prompt Tuning for Vision Transformers cites this paper.

DA-VPT: Semantic-Guided Visual Prompt Tuning for Vision Transformers One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

Reference 3

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no resolver link, observed 2026-08-07T12:43:53.447915Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:43:53.447915Z digest=sha256:2f1832c3c5673cb0f8ba195a8c845a35b320ce5b68506645ccd4ec55d3b93251

Observation e23c0c18-8c86-4e49-aca5-d78808f26ce8 · inbound

Dynamic Context-oriented Decomposition for Task-aware Low-rank Adaptation with Less Forgetting and Faster Convergence cites this paper.

Dynamic Context-oriented Decomposition for Task-aware Low-rank Adaptation with Less Forgetting and Faster Convergence One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

Reference 54

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no resolver link, observed 2026-08-07T00:43:49.017057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:43:49.017057Z digest=sha256:443b2ea513fb5fcc1de4640ebf81eb355cd9fe973c86c3d10d0c1965aaf91a7d

Observation 12e97c5f-a869-4afd-b185-ef4d6844e541 · inbound

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes cites this paper.

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

Reference 2

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no resolver link, observed 2026-08-06T21:23:47.155925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:23:47.155925Z digest=sha256:ac390749531324199cb45d40a786a73fc3cc248e0460af49810bc0017010daf9

Observation ec579f46-5a3a-426f-8c43-d7b01002b4ca · inbound

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices cites this paper.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:55.188112Z digest=sha256:c0538320354a97e55113f36bcec76b0b09743956de32b38c750c82cf1889abc7

Observation b6490155-63c2-4a38-a2e3-c3c2323b88e2 · inbound

ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints cites this paper.

ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

Reference 10

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no resolver link, observed 2026-08-06T18:48:50.743821Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:50.743821Z digest=sha256:e29e912349a99d0f7171d533eff3ef8b36f106b6de5f2ac867cb2e8cebeffc76

Observation 7ef83439-d9e9-4245-aa59-3dd099549fd2 · inbound

Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation cites this paper.

Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

Reference 5

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no resolver link, observed 2026-08-06T15:29:01.750689Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:29:01.750689Z digest=sha256:98d7956cc21a519887757ca7dbe062a8e64335073b9e552aa5374931d9dadc85

Observation e62e470b-a543-4521-9970-30aaff5d4a03 · inbound

Parameter-Efficient Fine-Tuning of 3D DDPM for MRI Image Generation Using Tensor Networks cites this paper.

Parameter-Efficient Fine-Tuning of 3D DDPM for MRI Image Generation Using Tensor Networks One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:44:59.214920Z digest=sha256:2d94bdf0413d31d3f694b00b872afc2f34cf7c30cab49d6daf6d07601e977323

Observation 8b51000d-9b92-4b1d-9f42-9fd61d683e0f · inbound

TARA: Token-Aware LoRA for Composable Personalization in Diffusion Models cites this paper.

TARA: Token-Aware LoRA for Composable Personalization in Diffusion Models One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

Reference 3

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:24:51.864757Z digest=sha256:039b22415d0852e7d1c3e6f660f8c0cc904ffa1e2e59c76b060f90cb4b0e35e0

Observation e8413698-2395-49eb-9478-abb3fdda1aa3 · inbound

Language-Aware Information Maximization for Transductive Few-Shot CLIP cites this paper.

Language-Aware Information Maximization for Transductive Few-Shot CLIP One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

Reference 2014

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:48:28.331440Z digest=sha256:adb5081bb35046806ddeed7aee8e7f03b166679d398d57c3566ccaaf26b2ba45

Observation d61a65d4-e473-419d-b638-bb3ac535e3f2 · inbound

A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search cites this paper.

A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

Reference 6

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no resolver link, observed 2026-08-03T09:45:41.652229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:45:41.652229Z digest=sha256:d623d90f2d1fe9974f997a2cc27c06d52edb990acb5493f6d8369a71ea250048

Observation ae1112ac-2b3c-4e7b-b176-fa0e6487b80c · inbound

BID-LoRA: A Parameter-Efficient Framework for Continual Learning and Unlearning cites this paper.

BID-LoRA: A Parameter-Efficient Framework for Continual Learning and Unlearning One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

Reference 32

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verified exact
arxiv_id, observed 2026-05-11T11:11:02.625227Z

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=2026-05-10T15:08:16.768725Z digest=sha256:95633ee91163e73c1f46026011908292aa5362f09f10b1d829c749ee67f4a793

Observation 658d2683-0fac-416b-b027-7da77a237f0c · inbound

Hystar: Hypernetwork-driven Style-adaptive Retrieval via Dynamic SVD Modulation cites this paper.

Hystar: Hypernetwork-driven Style-adaptive Retrieval via Dynamic SVD Modulation One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

Reference 1

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verified exact
arxiv_id, observed 2026-05-12T07:06:35.181227Z

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=2026-05-12T03:45:05.990528Z digest=sha256:9a2f5ecc4c984d281075941999df6da53128fea482eef72d761c30345da328ca

Observation 0869f578-0d4c-43a0-8cc5-9ee34e71d6a5 · inbound

Parameter-Efficient Fine-Tuning of Large Pretrained Models for Instance Segmentation Tasks cites this paper.

Parameter-Efficient Fine-Tuning of Large Pretrained Models for Instance Segmentation Tasks One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

Reference 26

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verified exact
arxiv_id, observed 2026-07-01T22:36:17.204857Z

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=2026-06-28T15:15:02.982759Z digest=sha256:ef1f70e088a73cdd0c62ac18666ce61f7d755b2057fd2e32a384e1917d26541e

Observation 31c41499-bcae-44c0-83e6-8d4e30a5259c · inbound

EinSort: Sorting is All We Need for Tensorizing LLM cites this paper.

EinSort: Sorting is All We Need for Tensorizing LLM One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

Reference 15

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verified exact
arxiv_id, observed 2026-07-02T22:57:26.701714Z

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=2026-06-27T18:31:01.804061Z digest=sha256:ba8fa2ba70d8b86580e406c27fde0f6739b726ab3abbacb3b5e9037399cbac7e

Observation a120dd33-0b75-45d4-9779-ffb7dfd18537 · inbound

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling cites this paper.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:31:12.070781Z digest=sha256:59411497a085575f4c9c146808a07465e36ebba27d087bff9e0f378b5ded1d97