Pith. sign in

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 2026-08-09T06:31:02.800959+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

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • 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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-16T23:51:50.163520Z digest=sha256:e9afeeba9d9c0238820d235d70538af586235b822284873b44105ed8393d87c3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T05:57:09.276224Z digest=sha256:69dd70badb001c49f66a5329afefb93f8a3eb0f1e6b61987da5f649ae448dfff

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=sha256:82351f05605dc87c098f32165fbdd53adcbbf508ecd86e7e93f4b575f6a142ba

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:f17e384680241760f21e7ae687f4e8644663d3081236b3af88a7cf4476f21afc

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=sha256:14a17b280cff3915d8a51431009e260084f3c874bf5fb6ac7655689770efa640

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:afb3a56347687ba3f921b38e845d16673b3a45297d0ad44409e4400bfaefb893

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=sha256:481eb9d6fa5c1bfd5c2804f5fdd47baab27623a734b3adc10d7112d3e9d4ba37

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=sha256:24403261b2d608af394857822b12ac50ed348d8884a092a2f3cfb470078f7cc6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T14:51:30.312509Z digest=sha256:eff11bd7d50016bb92eee2b5649e5279b9e1e46ec7df62fcf6d84a5abb470890

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:ae5a936f1bb927bb29630e766038246274119d492517af60325b28737d2b8c3a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T08:00:21.048408Z digest=sha256:2694fb2d6e76ed4aecd068a70678a1c69b0cfd69c6a836d07578e1326a102e1c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T15:05:34.990424Z digest=sha256:9508f8cf5fd245dff62da16996e08be5ae6eaf27897a20cca55b94fa7bbedae2

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-11T01:57:40.347786Z digest=sha256:65112769c184affbbe6c6817d62d9995e097152c15d9f10fd8f84543020ecf30

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T05:59:59.183023Z digest=sha256:e792a3c51628a736a7c29bd783dece2dacd89c218cfad7d7c17ea6262ae111ae

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T05:46:08.709560Z digest=sha256:b2109bfe8b87b09331a791fcda1cd26549c2b9446d9c465e948caaec26e1db2b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T11:23:55.146868Z digest=sha256:f116b058d8bd9f28776099273099c5df7d9678cd19ea96aaf1c390ed20ab81c3