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Paper Citation Record · LEDGER

Delta-LoRA: Fine-Tuning High-Rank Parameters with the Delta of Low-Rank Matrices

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2309.02411.

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

pith.paper-citation-record.v1
2309.02411 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:05:00.498469Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:10:05.841009Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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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 8d1b60b2-88a1-40a2-bcf7-52e613ab952b · inbound

MLorc: Momentum Low-rank Compression for Memory Efficient Large Language Model Adaptation cites this paper.

MLorc: Momentum Low-rank Compression for Memory Efficient Large Language Model Adaptation Delta-LoRA: Fine-Tuning High-Rank Parameters with the Delta of Low-Rank Matrices

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:52:15.093463Z

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=2026-05-19T10:50:36.629493Z digest=sha256:1fa2cf3d5efa24934be642b36ea0957e3ee0b076eddc922a5c774cf55eb51f19

Observation 7e8319ff-4c78-4f53-bf73-645f3a1cefdc · inbound

MetaTT: A Global Tensor-Train Adapter for Parameter-Efficient Fine-Tuning cites this paper.

MetaTT: A Global Tensor-Train Adapter for Parameter-Efficient Fine-Tuning Delta-LoRA: Fine-Tuning High-Rank Parameters with the Delta of Low-Rank Matrices

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T05:05:00.498469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:05:00.498469Z digest=sha256:d658f682a35b367a3a0097beb2a35bc1ec20374b48326c0cbc02c43b3179e2b4

Observation 85a666a2-0a55-4e43-a04d-ba5e7b74e761 · inbound

LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing cites this paper.

LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing Delta-LoRA: Fine-Tuning High-Rank Parameters with the Delta of Low-Rank Matrices

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:07:14.706507Z

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=2026-05-19T09:05:25.236355Z digest=sha256:69426d7d3102362604f6457e4e8fadf3a797ddd75c1efb513d7b867b37de1e1e

Observation a329e872-e948-4d14-9fd5-7fb543b8c378 · inbound

SingLoRA: Low Rank Adaptation Using a Single Matrix cites this paper.

SingLoRA: Low Rank Adaptation Using a Single Matrix Delta-LoRA: Fine-Tuning High-Rank Parameters with the Delta of Low-Rank Matrices

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T19:38:17.656155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:38:17.656155Z digest=sha256:04c28b592334f2f4a4fca0625b92e530252b04c2bc40282de33b4cd282f7923e

Observation ddd8987f-ee39-44de-9f82-7dd5fcc24e44 · inbound

ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints cites this paper.

ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints Delta-LoRA: Fine-Tuning High-Rank Parameters with the Delta of Low-Rank Matrices

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T18:48:55.294656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:55.294656Z digest=sha256:aaba8b313456b21b984b80645aa4805550ba58d85769a76bf9de200483a2dd8d

Observation 6e3a9e04-f97b-4d7a-a31c-268530224321 · inbound

TiMoE: Time-Aware Mixture of Language Experts cites this paper.

TiMoE: Time-Aware Mixture of Language Experts Delta-LoRA: Fine-Tuning High-Rank Parameters with the Delta of Low-Rank Matrices

Reference 381

Resolution
unresolved
no resolver link, observed 2026-08-05T21:26:43.095847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:26:43.095847Z digest=sha256:d80d04cc231d83b356087459d095f674c15c715636a30a62a511a27dd3ee28aa

Observation 975b06d7-dae1-43c9-ac5c-5da8b03fdc4a · inbound

Rethinking Parameter Sharing for LLM Fine-Tuning with Multiple LoRAs cites this paper.

Rethinking Parameter Sharing for LLM Fine-Tuning with Multiple LoRAs Delta-LoRA: Fine-Tuning High-Rank Parameters with the Delta of Low-Rank Matrices

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-18T12:01:21.118378Z

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=2026-05-18T11:58:39.003926Z digest=sha256:e010aa86d94bd110af585f576937a7c4f3b8c70531b384b57adc4d1afd88f1db

Observation 350dbb83-1a07-47bb-813b-473beed9b00d · inbound

K-Merge: Online Continual Merging of Adapters for On-device Large Language Models cites this paper.

K-Merge: Online Continual Merging of Adapters for On-device Large Language Models Delta-LoRA: Fine-Tuning High-Rank Parameters with the Delta of Low-Rank Matrices

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-04T09:47:28.852156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:47:28.852156Z digest=sha256:54ff483e483a5e7a80500aab6edd2c1119f0909f863ae9deab67c984cdcfe8e3

Observation bff26425-7956-4b93-8530-46ee6f61599f · inbound

NP-LoRA: Null Space Projection for Subject-Style LoRA Fusion cites this paper.

NP-LoRA: Null Space Projection for Subject-Style LoRA Fusion Delta-LoRA: Fine-Tuning High-Rank Parameters with the Delta of Low-Rank Matrices

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-25T08:00:29.680724Z

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=2026-05-25T07:58:25.211030Z digest=sha256:33c5d9f6425c55b70216ac47e37f89bc04b0d2fa2945f007839d075795a393de

Observation 49b0323b-799b-477e-90ea-34040f3551f2 · inbound

TLoRA+: A Low-Rank Parameter-Efficient Fine-Tuning Method for Large Language Models cites this paper.

TLoRA+: A Low-Rank Parameter-Efficient Fine-Tuning Method for Large Language Models Delta-LoRA: Fine-Tuning High-Rank Parameters with the Delta of Low-Rank Matrices

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T14:20:30.276172Z

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=2026-05-10T14:18:22.017187Z digest=sha256:257da6a513cc2c3122021a0d4a30f8d0663f436dda5a9c5c5b38af3c80ef9c17

Observation e4060cdc-c78d-465f-a474-60cbbac853eb · inbound

EinSort: Sorting is All We Need for Tensorizing LLM cites this paper.

EinSort: Sorting is All We Need for Tensorizing LLM Delta-LoRA: Fine-Tuning High-Rank Parameters with the Delta of Low-Rank Matrices

Reference 103

Resolution
verified exact
arxiv_id, observed 2026-07-02T22:57:26.728299Z

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=2026-06-27T18:31:01.804061Z digest=sha256:e3a9a41907366da4c7fb86b125bf3b54f3e87628c48c1a63216cb9f9f7547ab1

Observation dfa1b935-921a-4ad4-a30c-d3dcb5b196c3 · inbound

The Hidden Power of Scaling Factor in LoRA Optimization cites this paper.

The Hidden Power of Scaling Factor in LoRA Optimization Delta-LoRA: Fine-Tuning High-Rank Parameters with the Delta of Low-Rank Matrices

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T14:08:21.939323Z

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=2026-06-27T07:14:08.479610Z digest=sha256:e8bc3270b8237c23cd15a05c4f1ff6ff36f5c9feb3123363fddc39ea40adea5a

Observation 4371b17b-3f45-4d7a-a76c-291bb09560aa · inbound

EPTS: Elastic Post-Training Sparsity for Efficient Large Language Model Compression cites this paper.

EPTS: Elastic Post-Training Sparsity for Efficient Large Language Model Compression Delta-LoRA: Fine-Tuning High-Rank Parameters with the Delta of Low-Rank Matrices

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:10:05.844883Z

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=2026-06-25T21:35:44.591342Z digest=sha256:337e27883a65a67e68bbbb4e9eb8d6a39baba5dbd58c3a73e4385d7b3c9c82a4

Observation 3a5f1cac-2d1f-417f-92e5-f67bc18e8268 · inbound

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling cites this paper.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Delta-LoRA: Fine-Tuning High-Rank Parameters with the Delta of Low-Rank Matrices

Reference 237

Resolution
unresolved
no resolver link, observed 2026-08-02T09:51:03.821915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T09:51:03.821915Z digest=sha256:f156051761d6c0bad4f574e658a69114e75a4f6bebe98a45d096a80da1400bde

Observation 371aee20-7542-45f9-91f0-ae158a568dba · inbound

\k{appa}-LoRA: Condition Numbers Reveal Which LoRA Matrices Worth Updating cites this paper.

\k{appa}-LoRA: Condition Numbers Reveal Which LoRA Matrices Worth Updating Delta-LoRA: Fine-Tuning High-Rank Parameters with the Delta of Low-Rank Matrices

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-01T04:37:45.663332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:37:45.663332Z digest=sha256:8ce3b7d8de352904a6ba9094b2439c786cb32b7a80e3e5697b9e3bbbb8361b57