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Paper Citation Record · LEDGER

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation

As of 7 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2607.02576.

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

pith.paper-citation-record.v1
2607.02576 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T09:43:36.303603Z

measured 29 of 29 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

29 of 29 outbound references displayed

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Outbound references

Observation e3b07d3d-3c45-4c6e-8de3-63963c853c9a · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 1

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source=pdf_text observed=2026-07-12T09:43:36.303603Z digest=sha256:d79ed77432e5e701ac9898f44032a48a3f19a713475e0ea4e15ba8f392e93478

Observation 1fa1c862-0dd1-4007-aa25-854d466bd3d4 · outbound

This paper cites PiSSA: Principal singular values and singular vectors adaptation of large language models.

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation PiSSA: Principal singular values and singular vectors adaptation of large language models

Reference 2

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Observation 6fb3f36c-9c8f-4a7d-98bf-861801e97045 · outbound

This paper cites MiLoRA: Harnessing minor singular components for parameter-efficient LLM finetuning.

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation MiLoRA: Harnessing minor singular components for parameter-efficient LLM finetuning

Reference 3

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Observation e7bf217f-ea9b-4697-8b76-491178b7c9f0 · outbound

This paper cites SVFT: Parameter-efficient fine-tuning with singular vectors.

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation SVFT: Parameter-efficient fine-tuning with singular vectors

Reference 4

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source=pdf_text observed=2026-07-12T09:43:36.303603Z digest=sha256:e93ca4cc934790b3bbe553cbdfc9614326a7cc7878ce3cb7ddd4588d83ec555a

Observation 1d71f1e3-4bc9-4689-b1db-1465abcf8c65 · outbound

This paper cites KaSA: Knowledge-aware singular-value adaptation of large language models.

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation KaSA: Knowledge-aware singular-value adaptation of large language models

Reference 5

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source=pdf_text observed=2026-07-12T09:43:36.303603Z digest=sha256:dd1559605a97b360aa39203083e116057d0fd7b0edf07df46b4648eb5086911c

Observation bf453485-c6b3-4055-ae25-fdd468568b40 · outbound

This paper cites Controlling text-to-image diffusion by orthogonal finetuning.

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation Controlling text-to-image diffusion by orthogonal finetuning

Reference 6

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source=pdf_text observed=2026-07-12T09:43:36.303603Z digest=sha256:bca26b3481ea78087898c05671bf54d47caaf7724b5e380ef2635c2a7e495726

Observation 47323006-e8ad-42f6-9bb9-9c708218a3cc · outbound

This paper cites Black, Adrian Weller, and Bernhard Schölkopf.

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation Black, Adrian Weller, and Bernhard Schölkopf

Reference 7

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source=pdf_text observed=2026-07-12T09:43:36.303603Z digest=sha256:b1cbcedcda8a9227c880b59bff6af852da11193436b39e79d8be946bcfd9b66c

Observation 5d2cc59e-a4cd-4936-868f-f77f603ba756 · outbound

This paper cites Geometric and Spectral Alignment for Deep Neural Network II.

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation Geometric and Spectral Alignment for Deep Neural Network II

Reference 8

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source=pdf_text observed=2026-07-12T09:43:36.303603Z digest=sha256:cd65b155f15e25b7f6a1357d502996568a53a4ba5a18ad53b8821c0bb0f5f34c

Observation bd279eb0-853a-4ec5-b819-4712e153aaa8 · outbound

This paper cites DoRA: Weight-decomposed low-rank adaptation.

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation DoRA: Weight-decomposed low-rank adaptation

Reference 9

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source=pdf_text observed=2026-07-12T09:43:36.303603Z digest=sha256:371a3efc218b6fa3c81447107ce8bdc0ece79ec2480ef374b20606ec95a36827

Observation 45694a80-5a59-4bbd-acfe-188ce834594e · outbound

This paper cites AdaLoRA: Adaptive budget allocation for parameter-efficient fine-tuning.

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation AdaLoRA: Adaptive budget allocation for parameter-efficient fine-tuning

Reference 10

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source=pdf_text observed=2026-07-12T09:43:36.303603Z digest=sha256:67eb1d57c8352d3d185632e323798fd68efcf43da6260cac9e4a635acb98240f

Observation 7c393ec6-73a5-4a17-acd3-41a901a27fb4 · outbound

This paper cites Kopiczko, Tijmen Blankevoort, and Yuki M.

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation Kopiczko, Tijmen Blankevoort, and Yuki M

Reference 11

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source=pdf_text observed=2026-07-12T09:43:36.303603Z digest=sha256:210e947884d4082216bb55775a3cf4afafc8e82cf5c4e080f72f8a0298dad9a7

Observation f7ad72e9-f54e-488a-918a-b64584b3201d · outbound

This paper cites CorDA: Context-oriented decomposition adaptation of large language models for task-aware parameter-efficient fine-tuning.

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation CorDA: Context-oriented decomposition adaptation of large language models for task-aware parameter-efficient fine-tuning

Reference 12

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source=pdf_text observed=2026-07-12T09:43:36.303603Z digest=sha256:30bf6e5add17f36ac5fba5170d1f42876802862fdeba8cdae0c2f200085e2196

Observation 9089b47a-dd6c-4316-8847-c3146cf52684 · outbound

This paper cites LoftQ: LoRA-fine-tuning-aware quantization for large language models.

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation LoftQ: LoRA-fine-tuning-aware quantization for large language models

Reference 13

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Observation 1ba13677-a2ba-4119-9c6d-1b7b136522a5 · outbound

This paper cites LoRA-GA: Low-rank adaptation with gradient approximation.

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation LoRA-GA: Low-rank adaptation with gradient approximation

Reference 14

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source=pdf_text observed=2026-07-12T09:43:36.303603Z digest=sha256:c2ee16c4e3a2430474b2530c1b1b9d6787904387ee46a8a2992b552d8720de9e

Observation 39cc6a43-a583-4eaf-8884-7055ae7d3391 · outbound

This paper cites LoRA-Pro: Are low-rank adapters properly optimized? InICLR, 2025.

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation LoRA-Pro: Are low-rank adapters properly optimized? InICLR, 2025

Reference 15

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source=pdf_text observed=2026-07-12T09:43:36.303603Z digest=sha256:75251c169be56d06667d20055065bdc79a588176857035bb8ce7eb9b9cca9a95

Observation 38323b35-97ef-4f74-8ef4-4f20fa9455a0 · outbound

This paper cites Orthogonal finetuning made scalable.

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation Orthogonal finetuning made scalable

Reference 16

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source=pdf_text observed=2026-07-12T09:43:36.303603Z digest=sha256:bc6840c57437765e21b4de76afbda49ec698bfbf063ae97c99091261781f11c9

Observation 00298ad6-e086-4600-8824-399f37623d9f · outbound

This paper cites Xiao, Maximilian Dax, Bernhard Schölkopf, and Weiyang Liu.

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation Xiao, Maximilian Dax, Bernhard Schölkopf, and Weiyang Liu

Reference 17

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source=pdf_text observed=2026-07-12T09:43:36.303603Z digest=sha256:b2d26c4b7faafab08695f866d6f7bd8325b9ebcd628b131fca429892898c0e17

Observation e1e7ad95-c6c8-4950-9b44-0e93194eef49 · outbound

This paper cites Efficient orthogonal fine-tuning with principal subspace adaptation.

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation Efficient orthogonal fine-tuning with principal subspace adaptation

Reference 18

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Observation 41782e34-cfcf-4322-8319-96ad502d065c · outbound

This paper cites DiaBlo: Diagonal blocks are sufficient for finetuning.arXiv preprint arXiv:2506.03230, 2025.

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation DiaBlo: Diagonal blocks are sufficient for finetuning.arXiv preprint arXiv:2506.03230, 2025

Reference 19

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Observation 2040bd91-be9a-4ebb-bcd3-4f3c867b0c89 · outbound

This paper cites an unresolved cited work.

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation Unresolved cited work

Reference 20

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Observation 33cc9cc7-8d3f-45e7-aa76-773294c78844 · outbound

This paper cites Horn and Charles R.

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation Horn and Charles R

Reference 21

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source=pdf_text observed=2026-07-12T09:43:36.303603Z digest=sha256:7924784b8919d629ca661a5a8ae91e0f807fe12b3439ae2aa8d9381dbf4f8fcf

Observation 4317f645-21fe-4b2f-8a1c-3205eda070e0 · outbound

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CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation Unresolved cited work

Reference 22

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source=pdf_text observed=2026-07-12T09:43:36.303603Z digest=sha256:741b64632e92595fc7c84ffe9ddd9b5d4e7d1fbf462c6595bd3107c95b8babc5

Observation 98bbeca9-8b73-4c80-b4c3-ef6dd6760297 · outbound

This paper cites LLM-Adapters: An adapter family for parameter-efficient fine-tuning of large language models.

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation LLM-Adapters: An adapter family for parameter-efficient fine-tuning of large language models

Reference 23

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source=pdf_text observed=2026-07-12T09:43:36.303603Z digest=sha256:306c4086348940bc405c1ddacc82f1fd324f44f8ffedf32ee04181deee528fc2

Observation 67ecf999-b31c-40ea-8469-d057a6d04b51 · outbound

This paper cites MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Reference 24

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source=pdf_text observed=2026-07-12T09:43:36.303603Z digest=sha256:1e64eb62e412559295f07a6a5daf75573019731e9580e570cc6b71eeb186ba30

Observation e34be8c9-2832-4a55-944b-636a77117bbb · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation Training Verifiers to Solve Math Word Problems

Reference 25

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source=pdf_text observed=2026-07-12T09:43:36.303603Z digest=sha256:6fcd91623b4fabc163e88e8556858504da6a19484d3846d6ef8d6ff62c432621

Observation 57a6a11d-d4b4-4763-936b-3d8be6174feb · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation Measuring Mathematical Problem Solving With the MATH Dataset

Reference 26

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source=pdf_text observed=2026-07-12T09:43:36.303603Z digest=sha256:f98be18d67048f5f7d93a286e675a8a0974a6f0347b0d040ad456d438c35b46b

Observation 30803923-9d03-4291-8839-4bc2638134be · outbound

This paper cites Code Alpaca: An instruction-following LLaMA model for code generation.

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation Code Alpaca: An instruction-following LLaMA model for code generation

Reference 27

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source=pdf_text observed=2026-07-12T09:43:36.303603Z digest=sha256:5d7b84f2c41a9760568d9b344a4c8ad8bce35b819f1aad153bb190ef81280e91

Observation 9a3538de-b2aa-495d-ba23-6cff73fc3f8f · outbound

This paper cites Evaluating Large Language Models Trained on Code.

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation Evaluating Large Language Models Trained on Code

Reference 28

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source=pdf_text observed=2026-07-12T09:43:36.303603Z digest=sha256:97c3bdd4878ce2f79fab428417d86785f208394a6fd3eefe7412a1676e56df97

Observation 69544a46-8b8e-4588-9b04-1a74a7a5c4e1 · outbound

This paper cites coherent rotation form.

CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation coherent rotation form

Reference 29

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source=pdf_text observed=2026-07-12T09:43:36.303603Z digest=sha256:39d66846d3e2b86359a31432fc6d6deeda936e9f7ae41983f78d122d3c3a748b

Pith citing papers

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