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Paper Citation Record · LEDGER

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation

As of 10 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2607.09757.

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

pith.paper-citation-record.v1
2607.09757 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T04:34:34.523185Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

39 of 39 outbound references displayed

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  • unresolved39
  • parse uncertain0
  • malformed identifier0
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External citation measurements

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Outbound references

Observation 78a0c3a8-f0b5-45c3-b16c-f5b40f4a3484 · outbound

This paper cites Advances in neural information processing systems , volume=.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation Advances in neural information processing systems , volume=

Reference 1

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source=arxiv_source observed=2026-08-04T04:34:34.280334Z digest=sha256:9062018bbac6db92cac356edb2c66f81c21d7cfb035bd62a3196a7d203af6f61

Observation 59432255-39f7-44fa-9f3a-7ebd883e02d7 · outbound

This paper cites Training language models to follow instructions with human feedback.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation Training language models to follow instructions with human feedback

Reference 2

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source=arxiv_source observed=2026-08-04T04:34:34.286446Z digest=sha256:35834bdb6fa63c2b8df121a836e6a5d21ba1328d62a4a860d0766559253b52ba

Observation c65b4026-4d16-4690-a1b1-d4006959b29a · outbound

This paper cites International conference on machine learning , pages=.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation International conference on machine learning , pages=

Reference 3

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Observation 2e99583f-6963-4a48-aea9-da720f810be0 · outbound

This paper cites Towards a Unified View of Parameter-Efficient Transfer Learning.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 4

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Observation 760b5aa8-8ff3-4dce-bd5b-4dd1b194f3fe · outbound

This paper cites , author=.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation , author=

Reference 5

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source=arxiv_source observed=2026-08-04T04:34:34.306939Z digest=sha256:98a3528056653939d4556e4cceecb9886cff79967d9fe67f70f02c3c384834ef

Observation 696783cf-01b8-49f4-b255-fda7100f96fb · outbound

This paper cites AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 6

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Observation d17f3282-d109-435e-a045-5045a4a3c202 · outbound

This paper cites an unresolved cited work.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation Unresolved cited work

Reference 7

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Observation 7eebae89-bf44-4b24-bed1-04f13656cedd · outbound

This paper cites an unresolved cited work.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation Unresolved cited work

Reference 8

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source=arxiv_source observed=2026-08-04T04:34:34.324126Z digest=sha256:72c3e98863d0eb82d0197825aeddd204038a99a29b6d8eec8227c4d5d5c1f6c6

Observation 9865af6e-6bbe-42ad-b2f2-e350b4191efa · outbound

This paper cites Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics , pages=.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics , pages=

Reference 9

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Observation 1766e5d5-da54-403a-8901-85b249d29baa · outbound

This paper cites an unresolved cited work.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation Unresolved cited work

Reference 10

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Observation 1d9ac0e5-73d6-4b9e-943c-ba712f084eaa · outbound

This paper cites , author=.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation , author=

Reference 11

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Observation f00d3acf-912e-4b74-ac8c-0127428e5490 · outbound

This paper cites arXiv preprint arXiv:2502.12171 , year=.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation arXiv preprint arXiv:2502.12171 , year=

Reference 12

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Observation 51dde5a3-b5d5-45de-a211-173611a4b749 · outbound

This paper cites The journal of machine learning research , volume=.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation The journal of machine learning research , volume=

Reference 13

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Observation a93453ce-c711-46c2-a09a-13dc231c9d4e · outbound

This paper cites an unresolved cited work.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation Unresolved cited work

Reference 14

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Observation 0dc51248-52dc-431b-aa73-38f07949bb14 · outbound

This paper cites Expositiones mathematicae , volume=.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation Expositiones mathematicae , volume=

Reference 15

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Observation 3753b30c-3996-4caf-bee6-02f920ed0569 · outbound

This paper cites The Thirteenth International Conference on Learning Representations , year=.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation The Thirteenth International Conference on Learning Representations , year=

Reference 16

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Observation dd95a7ef-6071-47af-a05b-b93aa0c9d73f · outbound

This paper cites Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , pages=.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , pages=

Reference 17

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Observation fc2e790e-8e3e-4314-9227-d7cb8688571a · outbound

This paper cites VeRA: Vector-based Random Matrix Adaptation.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation VeRA: Vector-based Random Matrix Adaptation

Reference 18

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Observation 7c8b5639-6a72-4e5a-afed-2ddd00cd81fa · outbound

This paper cites arXiv preprint arXiv:2505.20355 , year=.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation arXiv preprint arXiv:2505.20355 , year=

Reference 19

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Observation 26827199-b145-41bd-8fd5-5f0f6ad42598 · outbound

This paper cites an unresolved cited work.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation Unresolved cited work

Reference 20

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source=arxiv_source observed=2026-08-04T04:34:34.400554Z digest=sha256:93dbdb39aafee767993ac3546bdea3a601d56445d571feb4bf0375afdcd67db7

Observation 88e5c133-b9d5-4197-ba97-2f0b22ddd5ee · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 21

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Observation 769b8bbc-a4d8-4834-ab31-3f07a038f85c · outbound

This paper cites an unresolved cited work.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation Unresolved cited work

Reference 22

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Observation 7df267bc-d461-47a5-a0db-408ad09a3313 · outbound

This paper cites Proceedings of the 57th annual meeting of the association for computational linguistics , pages=.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation Proceedings of the 57th annual meeting of the association for computational linguistics , pages=

Reference 23

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Observation a3f1cfa0-99f5-4ada-aa50-830fe38731fa · outbound

This paper cites Communications of the ACM , volume=.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation Communications of the ACM , volume=

Reference 24

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Observation 6a6cc4be-e6ae-4162-8c89-6bb20ceca8e8 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 25

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Observation 738229c4-f5e1-4129-b3e4-2f766448dcb1 · outbound

This paper cites Proceedings of the 2018 conference on empirical methods in natural language processing , pages=.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation Proceedings of the 2018 conference on empirical methods in natural language processing , pages=

Reference 26

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Observation 5c6ddd94-4980-427d-8786-dc973ae6035d · outbound

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RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation Zenodo , year=

Reference 27

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Observation 6a9c1ae8-dbde-48c9-a08a-a2cdda96f176 · outbound

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RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation Qwen3 Technical Report

Reference 28

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Observation 559adfb3-23e3-48c5-b9b3-ba544483ade3 · outbound

This paper cites Mistral 7B.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation Mistral 7B

Reference 29

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Observation faee15f8-ae38-4e9f-8dd0-58d17ae906ca · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 30

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Observation 7401c8c2-4f98-4fa5-b906-6a44fd312f61 · outbound

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

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation Measuring Mathematical Problem Solving With the MATH Dataset

Reference 31

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Observation 7218c2b7-7917-4260-9481-d926a5d89f9d · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation Training Verifiers to Solve Math Word Problems

Reference 32

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Observation a1d76d2e-8f07-4db3-ad74-5278e6996720 · outbound

This paper cites Proceedings of the 2018 EMNLP workshop BlackboxNLP: Analyzing and interpreting neural networks for NLP , pages=.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation Proceedings of the 2018 EMNLP workshop BlackboxNLP: Analyzing and interpreting neural networks for NLP , pages=

Reference 33

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Observation 455273d7-9820-4383-ad90-a708dd6a119a · outbound

This paper cites A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA

Reference 34

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Observation ba52f39a-0c7c-4c80-8812-2dec748e080f · outbound

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RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation Unresolved cited work

Reference 35

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Observation 5bf00fb3-5a5b-494b-bb28-606af656d52d · outbound

This paper cites LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuning.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuning

Reference 36

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Observation b2421158-1660-4121-b6e4-048eff7edf33 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation Advances in Neural Information Processing Systems , volume=

Reference 37

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Observation 155217e2-d801-4714-a5e4-9e5352192559 · outbound

This paper cites 2007 15th European signal processing conference , pages=.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation 2007 15th European signal processing conference , pages=

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites Advances in neural information processing systems , volume=.

RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation Advances in neural information processing systems , volume=

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