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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 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 18 of 18 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 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:03:23.581088Z

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 20cd5029-2174-4318-becd-dd0497cea0c4 · inbound

Cached Multi-Lora Composition for Multi-Concept Image Generation cites this paper.

Cached Multi-Lora Composition for Multi-Concept Image Generation One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

Reference 1

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no resolver link, observed 2026-08-08T21:03:23.581088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:23.581088Z digest=sha256:cd62e344a15ced135f6e2e858850f78f9355732ac5234882cee58cb96d010598

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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source=pdf_text observed=2026-08-08T14:25:30.538361Z digest=sha256:bd5089aac93644cc2027def2f2a371899ff3b64d10902cd58a1d30f95fea3588

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:58:12.822411Z digest=sha256:c3eb80960ffe9b1b5294d8c823dda60b3b195ccb0d532c49283b6092a2b6600d

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:d81cf1dc74bb1d63f995a493add6e2f1a27312e0187d0f4de8bbb0d8eef49dd7

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:43:49.017057Z digest=sha256:446328d873c9345c2321e86bfb885452edc23d30bdc412b24c8b3c25c1ce3d93

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:a17b331b3acd2ba1d305b25a17c8b932479f80433ae45c068a2dc38b3800c445

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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no resolver link, observed 2026-08-06T20:58:55.188112Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:55.188112Z digest=sha256:9c2af08871263bba6d5a4159670fa556643d654912900b64d26d24c6575fe314

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=sha256:36143299bd169ca897e036fd7ba0306ccc36f05c210a153a579ac373673939e2

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=sha256:53f3548e42b00518fad59209f6e4e4c6ef7f5b580d833305aa701a9a8c6ffece

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:44:59.214920Z digest=sha256:f2ee13f2b7d61f0059073a7a5c6e5b19292091325ae75a6c1cf09c49b8cc0c91

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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no resolver link, observed 2026-08-05T21:24:51.864757Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:24:51.864757Z digest=sha256:c4080dac492685259d9f284a82db2d83b85bfe6bb66264424530fae95edde4a3

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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no resolver link, observed 2026-08-05T13:48:28.331440Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:48:28.331440Z digest=sha256:b33797441e4e2411194d19800aa5f4ba6eecf276a834973518aae3ad7a5ec6a6

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:45:41.652229Z digest=sha256:d90ca900b7c93d060baeedaa386db5f62db5e5ccd71024dae8cbf98b411f9ef1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:08:16.768725Z digest=sha256:afb774b7cda2ee03a3b36a8c088d221797982a6d8de4cef4ae92c1b50408dada

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T03:45:05.990528Z digest=sha256:13bccd4c455d7fdbfdb88c47cdd0e407e392a123348c357fcd2213c648c417b3

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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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T15:15:02.982759Z digest=sha256:cf7089d3b476b4d51dfb59c44aac79dd602d01d36cd1e5e4ff45495277b6ee41

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T18:31:01.804061Z digest=sha256:3b93546aebc25ff74ea4171d010163dc30aa7d2327e7e08c0a8ca034327f1879

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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source=pdf_text observed=2026-07-12T05:31:12.070781Z digest=sha256:b0db4c98aac1fb44e979dca13f19f7418b1cfc9d2bbc6da281ba1e4f6a35a900