Paper Citation Record · LEDGER

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation

As of 5 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2605.08734.

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

pith.paper-citation-record.v1
2605.08734 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T03:52:15.907310Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

40 of 40 outbound references displayed

verified exact10
verified fuzzy30
unresolved0
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External citation measurements

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Outbound references

Observation 6b5ceff0-f0da-4e6a-8fe9-ef8b739be198 · outbound

This paper cites Optimization algorithms on matrix manifolds.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Optimization algorithms on matrix manifolds

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.362976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation da2a14e3-6941-4522-a233-773144945e42 · outbound

This paper cites GPT-4 Technical Report.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation GPT-4 Technical Report

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-12T06:51:29.459132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e01fe06b-c3c9-448e-87d0-d661c75ff4b8 · outbound

This paper cites A preconditioned riemannian gradient descent algorithm for low-rank matrix recovery.SIAM Journal on Matrix Analysis and Applications, 45 (4):2075–2103.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation A preconditioned riemannian gradient descent algorithm for low-rank matrix recovery.SIAM Journal on Matrix Analysis and Applications, 45 (4):2075–2103

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.355007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9e11da84-e014-417b-8a9b-bb7bf2dbf2b2 · outbound

This paper cites Finding low-rank matrix weights in DNNs via riemannian optimization: RAdagrad and RAdamw.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Finding low-rank matrix weights in DNNs via riemannian optimization: RAdagrad and RAdamw

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.371652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 65d6162a-0350-458b-a42b-c93be06d548b · outbound

This paper cites Lora meets riemannion: Muon optimizer for parametrization-independent low-rank adapters.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Lora meets riemannion: Muon optimizer for parametrization-independent low-rank adapters

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:51:29.474106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bd3c8e61-e20b-49f1-a694-038e27497af8 · outbound

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

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-12T06:51:29.479201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c32b89be-edb5-4cf5-81b2-3976ac285a6e · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Training Verifiers to Solve Math Word Problems

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-12T06:51:29.487524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dbfdf49a-0d2e-49d2-b2e8-03e72f208d06 · outbound

This paper cites Adaptive subgradient methods for online learning and stochastic optimization.Journal of Machine Learning Research, 12(7).

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Adaptive subgradient methods for online learning and stochastic optimization.Journal of Machine Learning Research, 12(7)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.359166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7c447234-082b-4b3d-a31d-a7211e93edcd · outbound

This paper cites Mix-of-show: Decentralized low-rank adaptation for multi-concept customization of diffusion models.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Mix-of-show: Decentralized low-rank adaptation for multi-concept customization of diffusion models

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.304070Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 975ff310-8005-4376-9ab4-9eeacec7dbc6 · outbound

This paper cites Shampoo: Preconditioned stochastic tensor optimization.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Shampoo: Preconditioned stochastic tensor optimization

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.299849Z

Source-reported events for the cited work

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Observation 1a134bee-683a-469f-a2e3-117bd16bc2b6 · outbound

This paper cites Lora+: Efficient low rank adaptation of large models.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Lora+: Efficient low rank adaptation of large models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.323876Z

Source-reported events for the cited work

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Observation 0fb18b67-8151-462e-a93d-ea4626d459ff · outbound

This paper cites Clipscore: A reference-free evaluation metric for image captioning.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Clipscore: A reference-free evaluation metric for image captioning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.287744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a84debc3-d8ad-4fb1-b6e3-66574cc89669 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.265884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a24dca92-fc21-4bf3-be00-2bf3682c6806 · outbound

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

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Lora: Low-rank adaptation of large language models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.273115Z

Source-reported events for the cited work

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Observation 4a9d28b7-8e18-4963-b20e-c94ded610ba2 · outbound

This paper cites Mistral 7B.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Mistral 7B

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-12T06:51:29.453385Z

Source-reported events for the cited work

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Observation d489ee30-6e40-4337-a903-c89315d914a2 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Adam: A Method for Stochastic Optimization

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-12T06:51:29.440800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c49a3d93-5868-46ce-b0b6-a744ee143fe7 · outbound

This paper cites Limitations of the empirical fisher approximation for natural gradient descent.Advances in neural information processing systems, 32.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Limitations of the empirical fisher approximation for natural gradient descent.Advances in neural information processing systems, 32

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.291859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ee77174b-716e-4d1c-b723-77cdb804a16f · outbound

This paper cites DeepSeek-V3 Technical Report.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation DeepSeek-V3 Technical Report

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-12T06:51:29.448465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cd0e4b97-321e-440b-a89b-716fc595f9d8 · outbound

This paper cites Optimizing neural networks with kronecker-factored approx- imate curvature.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Optimizing neural networks with kronecker-factored approx- imate curvature

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.269569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 947a8916-c0b9-4e27-9770-0b417cfa4020 · outbound

This paper cites Optimizing neural networks with kronecker-factored approx- imate curvature.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Optimizing neural networks with kronecker-factored approx- imate curvature

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.312291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 25beead0-720a-430f-b739-6edf3e68d3bf · outbound

This paper cites Parameter and memory efficient pretraining via low-rank riemannian optimization.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Parameter and memory efficient pretraining via low-rank riemannian optimization

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.295889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 31697ce4-b020-4d79-8c26-bc0a65fc0140 · outbound

This paper cites A new per- spective on shampoo’s preconditioner.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation A new per- spective on shampoo’s preconditioner

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.331373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4472f219-0240-468a-8c87-6ded88f2d0db · outbound

This paper cites Dart: Open-domain structured data record to text generation.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Dart: Open-domain structured data record to text generation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.320030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6158b829-1346-461e-aec6-61d9403c2331 · outbound

This paper cites The E2E Dataset: New Challenges For End-to-End Generation.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation The E2E Dataset: New Challenges For End-to-End Generation

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:51:29.493216Z

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Observation b7553c81-bea1-4aa1-9689-555100daee6c · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Pytorch: An imperative style, high-performance deep learning library

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.351090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1946c319-8415-411a-9591-43f6e0167561 · outbound

This paper cites Language models are unsupervised multitask learners.OpenAI blog, 1(8):9.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Language models are unsupervised multitask learners.OpenAI blog, 1(8):9

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.276835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4f318497-d167-4a70-9eb4-cb5685850e20 · outbound

This paper cites Learning transferable visual models from natural language supervision.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Learning transferable visual models from natural language supervision

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.339594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 66479fe7-6bf2-4113-acd7-2426e9c728a8 · outbound

This paper cites Adafactor: Adaptive learning rates with sublinear memory cost.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Adafactor: Adaptive learning rates with sublinear memory cost

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.280858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ed6057d9-24b4-4a76-9ce7-ab421fdfb3bc · outbound

This paper cites Low-rank solutions of linear matrix equations via procrustes flow.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Low-rank solutions of linear matrix equations via procrustes flow

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.327673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c2ea3e5c-d5ee-4f30-84d0-ca94e60880d6 · outbound

This paper cites Soap: Improving and stabilizing shampoo using adam for language modeling.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Soap: Improving and stabilizing shampoo using adam for language modeling

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.308200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cdf40b23-ffce-4dbe-97d2-54ed88c254c2 · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-12T21:24:15.760169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cc4bfb7a-d67e-4708-9d90-b7e54147ac72 · outbound

This paper cites Lora-ga: Low-rank adaptation with gradient approxi- mation.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Lora-ga: Low-rank adaptation with gradient approxi- mation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.258308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a3625805-4378-46e8-a881-20d4d47a7fc1 · outbound

This paper cites Lora-pro: Are low-rank adapters properly optimized? InInternational Conference on Learning Representations(ICLR).

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Lora-pro: Are low-rank adapters properly optimized? InInternational Conference on Learning Representations(ICLR)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.347290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 722ab7b6-b02f-41b8-85de-cdd49bdf990f · outbound

This paper cites Guarantees of riemannian optimiza- tion for low rank matrix recovery.SIAM Journal on Matrix Analysis and Applications, 37(3): 1198–1222.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Guarantees of riemannian optimiza- tion for low rank matrix recovery.SIAM Journal on Matrix Analysis and Applications, 37(3): 1198–1222

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.335448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f7bb7a4b-fdc0-4153-a66c-404cd0e0a0a5 · outbound

This paper cites Qwen2.5 Technical Report.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Qwen2.5 Technical Report

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-05-12T06:51:29.505180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f0ca6274-7b5c-4ac2-8da6-1c946352d6be · outbound

This paper cites Lora done rite: Robust invariant transformation equilibration for lora optimization.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Lora done rite: Robust invariant transformation equilibration for lora optimization

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.316100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ff05c833-f992-42a6-b13f-eca01e339cfe · outbound

This paper cites Riemannian preconditioned lora for fine-tuning foundation models.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Riemannian preconditioned lora for fine-tuning foundation models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.262208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d1e6387f-7362-4591-8855-a97aee937ea6 · outbound

This paper cites Lora-one: One-step full gradient could suffice for fine-tuning large language models, provably and efficiently.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Lora-one: One-step full gradient could suffice for fine-tuning large language models, provably and efficiently

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.343447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4a52e8fe-2392-45fe-acc3-a965fadacf48 · outbound

This paper cites Galore: Memory-efficient llm training by gradient low-rank projection.

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Galore: Memory-efficient llm training by gradient low-rank projection

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.284231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 91d9bdb7-5c05-4df7-ab91-be45c3bc291a · outbound

This paper cites Rank 4 (M).

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation Rank 4 (M)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T17:46:44.366917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

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