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Paper Citation Record · LEDGER

Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2401.04151.

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

pith.paper-citation-record.v1
2401.04151 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:31:42.043331Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T01:56:28.082849Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation aa91e398-5f96-4f74-8425-5620fcb0f043 · inbound

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection cites this paper.

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:51:50.267050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-16T23:51:50.163520Z digest=sha256:5cf150c73500c75c545b3a2a07ea728e658a83851aa0c70b0ea0006c3596215b

Observation 936165a6-735a-48aa-8781-a13dfd1e8e1a · inbound

GWT: Scalable Optimizer State Compression for Large Language Model Training cites this paper.

GWT: Scalable Optimizer State Compression for Large Language Model Training Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-23T05:57:36.560070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T05:57:09.276224Z digest=sha256:08c3e90a995ac1a4739d5a8010f9b9ee24bee41f39249519b78273942aec92eb

Observation 1e1eff25-4cd1-4051-8c2d-52f462d793c4 · inbound

A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models cites this paper.

A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-08T13:31:42.043331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:31:42.043331Z digest=sha256:38ce6dd983ee9096753eef54a9bf38da95148caa7e616fb3e99fe5bed582ac16

Observation 4d2440e1-5467-40fe-a287-2a3902ad38b2 · inbound

HRP: High-Rank Preheating for Superior LoRA Initialization cites this paper.

HRP: High-Rank Preheating for Superior LoRA Initialization Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-08T11:51:10.367578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:51:10.367578Z digest=sha256:eb928ad63767779a02298241b9fb0a4d4f97bff3233dfddb23b6f3cca7daef05

Observation fd537a85-b282-4731-aec7-96b6677bb8b2 · inbound

Mixture of Low Rank Adaptation with Partial Parameter Sharing for Time Series Forecasting cites this paper.

Mixture of Low Rank Adaptation with Partial Parameter Sharing for Time Series Forecasting Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:01.867719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:01.867719Z digest=sha256:394f0c68294d6f538efe44e618d5831fa4d191f73f2fe176ddf4e38c60b97fc4

Observation 8de89e86-fb84-41c7-92c5-cc8898bca693 · inbound

One Rank at a Time: Cascading Error Dynamics in Sequential Learning cites this paper.

One Rank at a Time: Cascading Error Dynamics in Sequential Learning Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-07T13:10:39.293469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:10:39.293469Z digest=sha256:001dbf177803de3beb588fd19a8f900cc3c523de08b642e7b8f7bcf50d23e485

Observation 5b6b1f12-c26b-44b4-ad24-37fe461fe5ab · inbound

GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation cites this paper.

GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:59.334061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:59.334061Z digest=sha256:e0b2bce1ec97f81d7434b3e3e99d19f18eb43c993698024572707305df58a4ee

Observation 02751e2b-b7ab-4063-afd0-1cc9765b7aea · inbound

Continual Gradient Low-Rank Projection Fine-Tuning for LLMs cites this paper.

Continual Gradient Low-Rank Projection Fine-Tuning for LLMs Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T20:35:05.707590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:35:05.707590Z digest=sha256:0fb5da51d72737f03361fad6273fdc40a262b2a83284e63c5fe04ae235a7252e

Observation 1b6b4978-fe65-40f1-8cd1-f3b1e682c82b · inbound

CR-Net: Scaling Parameter-Efficient Training with Cross-Layer Low-Rank Structure cites this paper.

CR-Net: Scaling Parameter-Efficient Training with Cross-Layer Low-Rank Structure Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-18T14:52:41.226701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T14:51:30.312509Z digest=sha256:fced64f76879199830e101a50572c37d15961cefce18c546399224401851580d

Observation ab3e1090-b895-457f-96a7-364cefe9d59d · inbound

Geometrically Principled Randomized Optimization for Efficient LLM Training cites this paper.

Geometrically Principled Randomized Optimization for Efficient LLM Training Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-04T12:51:26.589123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T12:51:26.589123Z digest=sha256:713b1f9b6508c3ec14c3702fa549431f333a681c55e641614508ecbb99d96657

Observation b8c8da44-a547-4ce8-9d39-9f5760cb8e1b · inbound

BoostLoRA: Growing Effective Rank by Boosting Adapters cites this paper.

BoostLoRA: Growing Effective Rank by Boosting Adapters Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:06:27.701529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T08:00:21.048408Z digest=sha256:98dab3326ad2dcb4c837c73d95218d86e55fae85054c275d84607b10aa95f53d

Observation 79b0b52b-7e68-448a-a44d-96174b20f417 · inbound

Structural Correspondence and Universal Approximation in Diagonal plus Low-Rank Neural Networks cites this paper.

Structural Correspondence and Universal Approximation in Diagonal plus Low-Rank Neural Networks Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:36:07.904465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T15:05:34.990424Z digest=sha256:9dc238fe1a9f19d6b70bf21a1ec5ac689f5fc1bf9de8e23a201c869a4f0dab33

Observation 25fe2bd5-ce72-440e-8b00-41b57b0b42af · inbound

Dr. Post-Training: A Data Regularization Perspective on LLM Post-Training cites this paper.

Dr. Post-Training: A Data Regularization Perspective on LLM Post-Training Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning

Reference 203

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:05:56.682285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-11T01:57:40.347786Z digest=sha256:e2f242c61685128c2c8895f73355fbc88bf01ee1b1aa3fc2c9df448b1888aa05

Observation d3e60335-3195-4253-a95e-3f9efbce9a45 · inbound

SMoA: Spectrum Modulation Adapter for Parameter-Efficient Fine-Tuning cites this paper.

SMoA: Spectrum Modulation Adapter for Parameter-Efficient Fine-Tuning Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-21T06:03:59.406406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T05:59:59.183023Z digest=sha256:34f65100984fb66e49202209e61b32603236e733080eddbd359b30e1ee154c7d

Observation 915fac9a-2630-4c5e-a13b-ef25451f86a7 · inbound

ChunkFT: Byte-Streamed Optimization for Memory-Efficient Full Fine-Tuning cites this paper.

ChunkFT: Byte-Streamed Optimization for Memory-Efficient Full Fine-Tuning Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:49:41.042736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T05:46:08.709560Z digest=sha256:e965049c4d05c09c5b5d40da0c9e0407e8d16c9f57020f42e3a972de19fd1276

Observation f9e8e486-ad04-4021-bd09-540f1ee3dc7a · inbound

DECA: Decentralizing Block-Wise Adam for Efficient LLM Full-Parameter Fine-Tuning on Non-IID Data cites this paper.

DECA: Decentralizing Block-Wise Adam for Efficient LLM Full-Parameter Fine-Tuning on Non-IID Data Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:56:28.084885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T11:23:55.146868Z digest=sha256:5be7e9339ae62a26937a25fe52175e7a5926a566cd31197ebfdfbd4f8fca2a81