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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2507.00327.

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

pith.paper-citation-record.v1
2507.00327 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:23:50.027527Z

measured 23 of 23 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

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  • verified fuzzy17
  • unresolved5
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eb4bb5ab-a414-4a3c-8f5b-b11bbda1dbd6 · outbound

This paper cites LoRA learns less and forgets less.

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes LoRA learns less and forgets less

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-06T21:23:54.690861Z

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.

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

This paper cites One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning.

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.

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Observation 7ada131b-d71f-472a-919b-983223ee0a76 · outbound

This paper cites Transferability vs.

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes Transferability vs

Reference 3

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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.

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Observation f5b46960-a35e-42ac-86b9-b4b71bdaff69 · outbound

This paper cites QuanTA: Efficient high-rank fine-tuning of LLMs with quantum-informed ten- sor adaptation.

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes QuanTA: Efficient high-rank fine-tuning of LLMs with quantum-informed ten- sor adaptation

Reference 4

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verified fuzzy
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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.

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Observation 699d1a78-247e-4a17-a99a-c5c08b07d908 · outbound

This paper cites Parameter-efficient fine-tuning of large-scale pre-trained language models.Nature Machine In- telligence, 5(3):220–235, 2023.

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes Parameter-efficient fine-tuning of large-scale pre-trained language models.Nature Machine In- telligence, 5(3):220–235, 2023

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-06T21:23:54.266566Z

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.

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Observation 46dd8fe8-8623-4bcf-8ee2-48a1138cfb53 · outbound

This paper cites GeLoRA: Geometric Adaptive Ranks For Efficient LoRA Fine-tuning.

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes GeLoRA: Geometric Adaptive Ranks For Efficient LoRA Fine-tuning

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dcbdd189-8b6f-41ef-9611-503fa8df4f3a · outbound

This paper cites Parameter-efficient transfer learning for NLP.

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes Parameter-efficient transfer learning for NLP

Reference 7

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no resolver link, observed 2026-08-06T21:23:47.829857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7cf38d7f-7113-4796-8dc7-114ce544ac89 · outbound

This paper cites Lora: Low- rank adaptation of large language models.

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes Lora: Low- rank adaptation of large language models

Reference 8

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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.

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Observation 1d1120cc-a0c8-4013-b06b-4a0c5b182d4a · outbound

This paper cites Structure-aware low-rank adaptation for parameter-efficient fine-tuning.

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes Structure-aware low-rank adaptation for parameter-efficient fine-tuning

Reference 9

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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.

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Observation 31f4d56a-d7db-473d-8b79-0b49f902ed7a · outbound

This paper cites Vi- sual prompt tuning.

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes Vi- sual prompt tuning

Reference 10

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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.

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Observation 84589397-b2ea-4d31-b1d8-66c830696ae9 · outbound

This paper cites MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning.

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6a9d7864-b996-4744-9586-2489de5ecde3 · outbound

This paper cites Relora: High-rank training through low-rank updates.

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes Relora: High-rank training through low-rank updates

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-06T21:23:53.592841Z

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=2026-08-06T21:23:48.502630Z digest=sha256:047a71bf701c547b75474ebacff24f5db959951bc9589925ccabb53267478298

Observation 72938d68-f2f5-4f38-ac1e-e7f9a055c2c0 · outbound

This paper cites Scaling & shifting your features: A new baseline for efficient model tuning.

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes Scaling & shifting your features: A new baseline for efficient model tuning

Reference 13

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raw_fallback, observed 2026-08-06T21:23:53.427057Z

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.

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Observation 6a174488-214d-4b9a-8be8-ff064ac3800a · outbound

This paper cites Pissa: Prin- cipal singular values and singular vectors adaptation of large language models, 2024.

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes Pissa: Prin- cipal singular values and singular vectors adaptation of large language models, 2024

Reference 14

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raw_fallback, observed 2026-08-06T21:23:53.152368Z

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=2026-08-06T21:23:48.784860Z digest=sha256:ed7c137bf572163d21b7e097c43adf3ef52c715a2d196caeea8ca49b9493b35f

Observation 2fe78083-f0a6-4fe0-bee4-edab68866d58 · outbound

This paper cites Melora: Mini-ensemble low-rank adapters for parameter-efficient fine-tuning.

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes Melora: Mini-ensemble low-rank adapters for parameter-efficient fine-tuning

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-06T21:23:52.752630Z

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=2026-08-06T21:23:49.011615Z digest=sha256:fead913a0cce7616170768d87e45cab3b688ffc1ec5d4f4ef21c93e2ccc84300

Observation 7b8a32c2-d790-49f8-9521-1905b1888472 · outbound

This paper cites Stable rank normalization for im- proved generalization in neural networks and gans.

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes Stable rank normalization for im- proved generalization in neural networks and gans

Reference 16

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raw_fallback, observed 2026-08-06T21:23:52.397588Z

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=2026-08-06T21:23:49.234614Z digest=sha256:594ba0652ed1d99916c2187ef218350120ef97e4da216a4a3547524bd1f207de

Observation 496f542b-5f68-47aa-a0a4-de0b9b5478c1 · outbound

This paper cites Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning.

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning

Reference 17

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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=2026-08-06T21:23:49.400870Z digest=sha256:e6d0d3051b2d44e5d0a0e48e7f2c9b3d9c6301b4fafea8af05271f3fbbe8d3d4

Observation 6c661f52-89e6-486d-a4b6-fba4abdcfaa3 · outbound

This paper cites DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation.

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:23:49.475591Z digest=sha256:f66b0f2185074e6c10def8d6fe85316d7cb4394fd2a31a2a076d8a3f1d358ec7

Observation 8cab4e9b-6820-45de-b5c3-9b24694b42cd · outbound

This paper cites A real-world dataset and benchmark for foundation model adaptation in medical image classification.

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes A real-world dataset and benchmark for foundation model adaptation in medical image classification

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-06T21:23:52.085871Z

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.

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Observation b82eb1e1-3bcd-40ca-9fb2-ec7053e0030e · outbound

This paper cites Chain of lora: Efficient fine-tuning of language models via residual learn- ing, 2024.

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes Chain of lora: Efficient fine-tuning of language models via residual learn- ing, 2024

Reference 20

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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=2026-08-06T21:23:49.649036Z digest=sha256:2f689c5ee791d6849e173b626a674e50fb8f239c9a9762af522e138945d52dbd

Observation bacdc7bc-3041-4d40-8a6c-bc439ccf9e32 · outbound

This paper cites Bit- fit: Simple parameter-efficient fine-tuning for transformer- based masked language-models.

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes Bit- fit: Simple parameter-efficient fine-tuning for transformer- based masked language-models

Reference 21

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raw_fallback, observed 2026-08-06T21:23:51.398866Z

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=2026-08-06T21:23:49.754470Z digest=sha256:6bc3700de70271f420b7f387db62aa291cd05ef7f6320cd7a3be00826cf685a2

Observation 80c6c469-cf3f-4274-a552-4b040d90ef6b · outbound

This paper cites A large-scale study of representation learning with the visual task adaptation benchmark, 2020.

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes A large-scale study of representation learning with the visual task adaptation benchmark, 2020

Reference 22

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raw_fallback, observed 2026-08-06T21:23:51.064029Z

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=2026-08-06T21:23:49.860135Z digest=sha256:d56dc04fc0dd98c618cb209a33269a0d01d189f95ca9bb14d1dc8fe85a2a4f90

Observation 6a8eae39-56d8-4b4c-9011-20f41efdb532 · outbound

This paper cites Adalora: Adaptive budget allocation for parameter-efficient fine-tuning, 2023.

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes Adalora: Adaptive budget allocation for parameter-efficient fine-tuning, 2023

Reference 23

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raw_fallback, observed 2026-08-06T21:23:50.724136Z

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=2026-08-06T21:23:50.027527Z digest=sha256:74a8c41f83273a79871cd3a5ac49d1e33cdf7bedb4b4e9aa63e99c2c85d6cbe9

Pith citing papers

No inbound Pith citation observations are available.