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Paper Citation Record · LEDGER

Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning

As of 15 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 2 inbound Pith citation observations for arXiv:2505.05086.

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

pith.paper-citation-record.v1
2505.05086 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:18:29.712847Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:38:43.578260Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T00:28:52.602327Z

Reference resolution

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 730edbc2-33b5-4ec3-804e-934c4b55b97f · outbound

This paper cites an unresolved cited work.

Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning Unresolved cited work

Reference 4

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unresolved
raw_fallback, observed 2026-08-15T23:18:30.026597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation df22ed1a-7f72-462f-9f1b-a645039f5703 · outbound

This paper cites Federated Learning for Mobile Keyboard Prediction.

Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning Federated Learning for Mobile Keyboard Prediction

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:18:29.367398Z digest=sha256:3ef4d8b858b18b5c0b1a3b2b153c0e2ab6f141136c19baea37f67e3ed05fe0d2

Observation 9a4fce75-bc05-431d-b278-a5ad2c9758db · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning LoRA: Low-Rank Adaptation of Large Language Models

Reference 8

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no resolver link, observed 2026-08-15T23:18:29.433617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:18:29.433617Z digest=sha256:e8cfe0b46875ebb2c8b928c95f76d6fd90e95508fbaec023067d65865fda75e8

Observation 37e6f4c0-c540-49be-b499-0747ea558043 · outbound

This paper cites ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models.

Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models

Reference 9

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no resolver link, observed 2026-08-15T23:18:29.439610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:18:29.439610Z digest=sha256:d665ff28344ba41098787378eca868b02ad940ba7bc154ca1a4756883bb567a1

Observation 00ab4ab1-22f8-4e4e-9a8b-9f45ddc3592c · outbound

This paper cites an unresolved cited work.

Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning Unresolved cited work

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T23:18:29.450507Z digest=sha256:9a671732d44c9dcd4a38d931031038438f743f059a4aacb6c573bcfd79c2f112

Observation 862139c7-0d88-4a4b-bf34-8ca07ca99948 · outbound

This paper cites The Computational Limits of Deep Learning.

Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning The Computational Limits of Deep Learning

Reference 12

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no resolver link, observed 2026-08-15T23:18:29.456675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:18:29.456675Z digest=sha256:9181e5c5c7d6b82d76e4fd657be71fd626ff213f928529dfe36ba492997059a0

Observation 767b9362-53f8-4ebc-bcaa-3be18a853a9a · outbound

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

Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Reference 13

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no resolver link, observed 2026-08-15T23:18:29.523896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:18:29.523896Z digest=sha256:766ee72a24a252d52adb782ead84bf9061821e75b1730d60cd501eea06eb6c41

Observation 56193104-8105-421a-b762-c95821111bf1 · outbound

This paper cites The caltech-ucsd birds-200-2011 dataset,.

Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning The caltech-ucsd birds-200-2011 dataset,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-15T23:18:30.255818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T23:18:29.616712Z digest=sha256:27875b894906439aeaedb1b036854f28137cedaac981eec2b3775981a3cda8fe

Observation 1fe772ad-a3a0-4a15-a065-b9c0fcdb43c6 · outbound

This paper cites ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models.

Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models

Reference 15

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no resolver link, observed 2026-08-15T23:18:29.621734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:18:29.621734Z digest=sha256:572dd87dddb8532bd2f44d4f93bbe45e909af225834568eb3142e2bee2d211d8

Observation 24e3110e-f1a6-40ef-859c-9c8bde4005c7 · outbound

This paper cites 0/1 Deep Neural Networks via Block Coordinate Descent.

Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning 0/1 Deep Neural Networks via Block Coordinate Descent

Reference 16

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Unavailable: canonical work link unavailable.

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Observation 2d2469e4-090f-44e8-8fa6-b1580094bf69 · outbound

This paper cites TinyLlama: An Open-Source Small Language Model.

Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning TinyLlama: An Open-Source Small Language Model

Reference 17

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no resolver link, observed 2026-08-15T23:18:29.632364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:18:29.632364Z digest=sha256:3e80ce30476b0a8586d0f3f9bbfa6f6eca10221c0f05d466dab6391e2268d291

Observation 42c66efa-5950-4bf8-b2ba-881a5196195a · outbound

This paper cites an unresolved cited work.

Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning Unresolved cited work

Reference 21

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unresolved
raw_fallback, observed 2026-08-15T23:18:30.044488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T23:18:29.673312Z digest=sha256:8116453931f0fe933631f9361dbcb7972ed03b521e9e77d40c0baedb36973539

Observation b2dd35fb-c7f1-4bc4-bcec-7b75a81ec276 · outbound

This paper cites The learning rate increases linearly over four warm-up epochs, reaching 0.005, and then follows a cosine annealing decay schedule.

Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning The learning rate increases linearly over four warm-up epochs, reaching 0.005, and then follows a cosine annealing decay schedule

Reference 64

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verified fuzzy
raw_fallback, observed 2026-08-15T23:18:30.141011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T23:18:29.649877Z digest=sha256:1381f7d7b5245caacc524a9eb6ed8f833eb403753c2b0c0f362de7afec1e611f

Observation 9d6314b7-f386-4e3e-8502-167a533df363 · outbound

This paper cites The Forward-Forward Algorithm: Some Preliminary Investigations.

Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning The Forward-Forward Algorithm: Some Preliminary Investigations

Reference 2016

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no resolver link, observed 2026-08-15T23:18:29.412099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:18:29.412099Z digest=sha256:8bb6c097549509a4ffb6908c4cf22b0e392d1b47b5c502854878782165bf58cd

Observation ba208f77-f33d-43ba-9675-780668001336 · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 2017

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no resolver link, observed 2026-08-15T23:18:29.342385Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:18:29.342385Z digest=sha256:d50bb6eda7916735b97f6f1b3568ac9fb169600982a47b07fcf0a03f0cbd1958

Observation 5b05dd9f-4547-4e26-8f7b-2cc3e7eced0a · outbound

This paper cites Warm start.

Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning Warm start

Reference 2018

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verified fuzzy
raw_fallback, observed 2026-08-15T23:18:30.240530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T23:18:29.643341Z digest=sha256:d7d1ccd7142c9dcdd574efbd9b490b8d67befbaff63e385341e4ba2917eb1ac2

Observation 72f5d7e2-34ab-47a9-9f7d-77fe2908a847 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning Imagenet: A large-scale hierarchical image database

Reference 2019

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verified fuzzy
raw_fallback, observed 2026-08-15T23:18:30.483062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T23:18:29.348383Z digest=sha256:d365244a1b7a0480498c51356b629fed30a88317d581a2c193341b6a31e92b4f

Observation 26b1eb3c-3a8d-46ed-afd1-de252642ac99 · outbound

This paper cites Carbon Emissions and Large Neural Network Training.

Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning Carbon Emissions and Large Neural Network Training

Reference 2020

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no resolver link, observed 2026-08-15T23:18:29.444884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:18:29.444884Z digest=sha256:a00d5ceb241ac06ef9a93b2180d24ffc8bf3a9c186b79ec7777049784462bc0e

Observation 90bf120a-c59d-40b1-b92f-bf168d44fc0e · outbound

This paper cites Sparse Low-rank Adaptation of Pre-trained Language Models.

Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning Sparse Low-rank Adaptation of Pre-trained Language Models

Reference 2021

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no resolver link, observed 2026-08-15T23:18:29.354525Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:18:29.354525Z digest=sha256:0cb7f4d0ad71dc87d86ecdc123ac4f0d76fd1c0f2a6d93bd547eb3292cdeff0c

Observation 4ba03d62-f61d-4f55-8d86-fbde094d2d86 · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 2022

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:18:29.325581Z digest=sha256:f365e5c771b763b15c7395491cefd1ed6590dbb85bbda115b8f59147b1de3f09

Observation a27c86d1-c58b-405a-a7d7-1dc72bde9e06 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning Gemini: A Family of Highly Capable Multimodal Models

Reference 2023

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no resolver link, observed 2026-08-15T23:18:29.361038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:18:29.361038Z digest=sha256:40387df0bd108ad75065e471faef09c3d30681bbb44a79730a69fe41f03a2948

Observation bf2f99d8-a16c-4557-b353-9613507af2f3 · outbound

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

Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 2024

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:18:29.637259Z digest=sha256:45919f84d586eb7d8dd5e4b8042bff9680f51be3fbe89b08bb6c1830265155df

Pith citing papers

Observation 13dbacaa-9c10-4f27-99b4-2e07dc892501 · inbound

CosmosAlign: Adapting a World Foundation Model for Generative Traffic Video Forecasting cites this paper.

CosmosAlign: Adapting a World Foundation Model for Generative Traffic Video Forecasting Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning

Reference 40

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metadata mismatch
local_arxiv, observed 2026-08-11T00:28:52.608156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T00:28:52.273713Z digest=sha256:904435f652a4d54d38ae207fe0bf6e6a6845ab2a776418e2aba59d19d1971142

Observation d623f016-e642-477f-966b-494f62b8d91a · inbound

Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs cites this paper.

Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning

Reference 87

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:38:43.578260Z digest=sha256:cdfcabe6957a8cc86e0f944d5188a4ddf263918032207dce2317a5bab5575346