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Paper Citation Record · LEDGER

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging

As of 14 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2505.22934.

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

pith.paper-citation-record.v1
2505.22934 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:03:14.342344Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-17T22:16:04.386706Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T22:16:04.891748Z

Reference resolution

27 of 27 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved24
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External citation measurements

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Outbound references

Observation f3221590-619f-490a-9701-07e148083f11 · outbound

This paper cites The Llama 3 Herd of Models.

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging The Llama 3 Herd of Models

Reference 4

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Observation 1b8f2b3f-b045-475d-9bfb-68a99d1f7e52 · outbound

This paper cites Ethos: Rectifying Language Models in Orthogonal Parameter Space.

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging Ethos: Rectifying Language Models in Orthogonal Parameter Space

Reference 5

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source=pdf_text observed=2026-08-07T13:03:12.468319Z digest=sha256:8bea92c77490eb072d48e61c3365f8327401d43c7711bb8fa09fcd60ffe63f06

Observation d75c328c-2c4d-42fc-b480-ad838db81328 · outbound

This paper cites Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic.

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic

Reference 6

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source=pdf_text observed=2026-08-07T13:03:12.563994Z digest=sha256:61c0696f65ec580ab0bf411d3dd692dc0306b634f04a24eeebc9c6865ea73118

Observation 716d6df1-c79c-4bdf-8f41-e68389ec52e4 · outbound

This paper cites EMR-Merging: Tuning-Free High-Performance Model Merging.

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging EMR-Merging: Tuning-Free High-Performance Model Merging

Reference 8

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source=pdf_text observed=2026-08-07T13:03:12.693254Z digest=sha256:848b6a4950ea7eb7b3b1ff1ad7f63fe5715e21914c0004f5302df11328f25c82

Observation 2756139f-e8ed-458a-ac20-2d9c44c2b829 · outbound

This paper cites Editing Models with Task Arithmetic.

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging Editing Models with Task Arithmetic

Reference 9

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source=pdf_text observed=2026-08-07T13:03:12.749204Z digest=sha256:02fc6076a17ff46334345b0c6c8a6b2c6ceca27856aace5dfd9bdc2d9ac56f3a

Observation e790b3d5-e126-4eb8-9eb0-1e062945b0f4 · outbound

This paper cites Dataless Knowledge Fusion by Merging Weights of Language Models.

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging Dataless Knowledge Fusion by Merging Weights of Language Models

Reference 10

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source=pdf_text observed=2026-08-07T13:03:12.806623Z digest=sha256:8ea75ee527eca33f3e6991719e88111141496ecedc3e5952e1eaef4d1a60ccfa

Observation 73df85f8-c6a2-48ab-9a62-3a752ad23e6a · outbound

This paper cites Agent Skill Acquisition for Large Language Models via CycleQD.

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging Agent Skill Acquisition for Large Language Models via CycleQD

Reference 11

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source=pdf_text observed=2026-08-07T13:03:12.864493Z digest=sha256:a1db164750552a770ba2f288b79557970528abb94aabaf90ffada14f9a767e34

Observation cec4bdaf-9998-491e-a41b-203fcb8b1b0f · outbound

This paper cites Decoupled Weight Decay Regularization.

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging Decoupled Weight Decay Regularization

Reference 13

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source=pdf_text observed=2026-08-07T13:03:12.971390Z digest=sha256:cb9876669a71abd9959addb7b0436324db0bd29024d3e97cc5a982cb346d94ea

Observation 72de6dc0-9b2a-4704-92d6-da1a0c490a3f · outbound

This paper cites Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging.

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging

Reference 14

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source=pdf_text observed=2026-08-07T13:03:13.027695Z digest=sha256:4f3bf9362669cf3ac1adaed035eafd27ca16a76e976e370d5461529a11d2a010

Observation 108405f3-383b-4a05-8fb5-c9c62358b95e · outbound

This paper cites LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks.

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks

Reference 15

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source=pdf_text observed=2026-08-07T13:03:13.083909Z digest=sha256:af2afbf4c5406ed8da1a387b465d984a2cf40d1f3373248ce425f0964d1df606

Observation a39a45b8-e133-44be-a925-3734ad89c0ad · outbound

This paper cites Nevertheless, the merged performance remains largely preserved, demonstrating the effectiveness of our method.

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging Nevertheless, the merged performance remains largely preserved, demonstrating the effectiveness of our method

Reference 16

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:03:14.235760Z digest=sha256:fbe75d5e3774b371e05664568cfd327a2692991ba9f6a64db4c2a3537b608455

Observation c58042e0-c3be-41fc-b2bb-deedf74120dc · outbound

This paper cites Model merging with SVD to tie the Knots.

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging Model merging with SVD to tie the Knots

Reference 17

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source=pdf_text observed=2026-08-07T13:03:13.197354Z digest=sha256:8fa64bb173d89d443fbdf39706da0c9b9da42217990fcdf23d277e8fe7cfbf5d

Observation 60297b49-ec46-4169-870f-2b682b248b4c · outbound

This paper cites Parameter Efficient Multi-task Model Fusion with Partial Linearization.

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging Parameter Efficient Multi-task Model Fusion with Partial Linearization

Reference 18

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source=pdf_text observed=2026-08-07T13:03:13.277297Z digest=sha256:da11ba7652b9ee4f17b4dbbf137e0a781decbcf234c9db52fa9aba34537bdc9c

Observation 591fe8c2-36a9-4b81-8a57-08829d2fbc5a · outbound

This paper cites Task Arithmetic Through The Lens Of One-Shot Federated Learning.

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging Task Arithmetic Through The Lens Of One-Shot Federated Learning

Reference 19

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source=pdf_text observed=2026-08-07T13:03:13.382199Z digest=sha256:17a65ea689118485cd99c3842b821f0f88dfb1fdcd1b84b9923b63833d08e778

Observation 07e8fcc8-811d-4927-8b95-05b72bf992d4 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 20

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source=pdf_text observed=2026-08-07T13:03:13.473748Z digest=sha256:e6225302bf62ad1ed6b7672d29be448f2eacd93ab1c1521a07f03c961e6d2857

Observation 1dba31c3-a6de-4516-ac55-b5667a848622 · outbound

This paper cites LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging.

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging

Reference 21

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source=pdf_text observed=2026-08-07T13:03:13.606591Z digest=sha256:7687c21ebdcb5d4ef68f31df4f26d67afaa3b2753f57027520b6c846a09c82a7

Observation 940480c6-7e4e-4ba8-8535-8f8a8a6a9212 · outbound

This paper cites Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering.

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering

Reference 23

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source=pdf_text observed=2026-08-07T13:03:13.828382Z digest=sha256:5b1c618ec5330374331b7d413e21efaa348750e5cfbb1e60b911e4ff4a5524f1

Observation 4a4dd69e-d35a-48d0-afde-43736c00e3f6 · outbound

This paper cites MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic.

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic

Reference 24

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Observation b64e254a-b583-4685-9518-950d329cbbec · outbound

This paper cites All the experiments are conducted on eight NVIDIA RTX A6000 GPUs.

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging All the experiments are conducted on eight NVIDIA RTX A6000 GPUs

Reference 25

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:03:14.062405Z digest=sha256:ea5cca2e7429b287ee3d11f39cc6caf4a41aaf97fbdae79cff4d3396a1d06f8a

Observation 91c6f069-5006-4180-bfdb-604a694fc046 · outbound

This paper cites Individual.

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging Individual

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:03:14.342344Z digest=sha256:fa87516f57bad22efcb56f7f3f7f9b58e39f1caf539d2a2c8523eb73009dd6be

Observation 459b0f1a-33b6-4216-a33e-9079f80f2e02 · outbound

This paper cites SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation.

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation

Reference 2017

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source=pdf_text observed=2026-08-07T13:03:12.284996Z digest=sha256:14da983e3c6e26bfe6aea6e2ff24b3f7acdc70923d86bc25f8dda5c43b5dfc9e

Observation 099b5deb-fa5d-498b-a030-d986393a59b0 · outbound

This paper cites Neural Network Acceptability Judgments.

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging Neural Network Acceptability Judgments

Reference 2018

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source=pdf_text observed=2026-08-07T13:03:13.700940Z digest=sha256:99a82705711f10600fd49fc972c3c4923af1c0bca37e4aa244bb7bdefdfdb7fb

Observation 2195641f-97be-4392-a580-db008d822682 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 2019

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source=pdf_text observed=2026-08-07T13:03:12.917555Z digest=sha256:d5d603a5db6c5bb2b3465b0f01f5a5419bb54fbe759bbec9d10eca2e2c863be5

Observation ff1c04e1-e811-4b87-a959-52dbfd78c47c · outbound

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

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging LoRA: Low-Rank Adaptation of Large Language Models

Reference 2021

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source=pdf_text observed=2026-08-07T13:03:12.638394Z digest=sha256:c4ad953e003f45e4f8fad6465ae8ed337e7834a045a43bf8683741bfcc61271e

Observation c6471c50-791f-4d31-9dd7-c0b3feff7bf5 · outbound

This paper cites Git Re-Basin: Merging Models modulo Permutation Symmetries.

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging Git Re-Basin: Merging Models modulo Permutation Symmetries

Reference 2022

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source=pdf_text observed=2026-08-07T13:03:12.198439Z digest=sha256:abbfef20283a3eeaca5a6cf324ef5876fc30615249aab37deda5a67e9cd2d700

Observation d7647234-63d5-492f-8cdc-2aca4ceba9f5 · outbound

This paper cites ZipIt! Merging Models from Different Tasks without Training.

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging ZipIt! Merging Models from Different Tasks without Training

Reference 2023

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source=pdf_text observed=2026-08-07T13:03:13.110708Z digest=sha256:80a8064a7bcb4bf867b5562c5928b3f2eb380eb92499dc6891c4db2821cc4e8d

Observation 352a4688-1a74-4905-b3a7-10b49cc3aa1a · outbound

This paper cites Parameter Competition Balancing for Model Merging.

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging Parameter Competition Balancing for Model Merging

Reference 2024

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source=pdf_text observed=2026-08-07T13:03:12.342067Z digest=sha256:f34fb633f212d37234a9039e6036482591d3c4ea490e3ca0627308586ab8a2c1

Pith citing papers

Observation 7b1ae573-3aa4-4420-9a66-3626ebef4cfd · inbound

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities cites this paper.

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging

Reference 288

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arxiv_id, observed 2026-06-01T02:02:15.804469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-17T22:16:04.386706Z digest=sha256:833253fd86b865375105c60d256b185313fc13eac42b41f47f37b1e7a4441045