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Paper Citation Record · LEDGER

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging

As of 7 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 2026-08-07T06:34:17.273281+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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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:03:12.409270Z digest=sha256:f467dcf21d8d2a0558983d0e78fb9adc12aeb9583e4a1abf049815cdef12d060

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:a6411dd0327100e6c4e2daaae1ce1add515ba6c0ae6782e5478d4bf4c8aa57c6

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:f66525b7ef7b083a2adf487d9d967e0d314e1f97061607bbfed412ebd3de75e5

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=sha256:53596af278d3173d298b3f7aa2c790e95d5217bc081445c9e6a02662df824f5e

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:cab970e6e46e8947626c6786612c87245fb4fed617d58d25d5a57ffadb6f0dd9

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=sha256:1b7a10a369ab2255f784e2f449b2a0b4dda8f0b6e31f15f7c9942257851789d6

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=sha256:19e119c22cf8fb4e45620e5a781a325fe1712965e6f98e86794c87d698fd70d9

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:f84ad29c52a70bb8476b2d6f570befd1d15e5307d353460813c2515eb7465577

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:f2497d267d41c935c82da054438db6cf6d997ded6f84b16f8d0d09f7f3547873

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:f9dbd366cd32a04ae141ed823c63dd55f71d85e4d1ba15e7cb56302f8e030d99

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:03:14.235760Z digest=sha256:e4f6a10beb46fc81763c16d2e6eb198202a92089bfe8d78933ea710d0c226977

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:d14fe37dd9d512adc5c7c33ca1f5bef3ef09027ed122aa0f0747001bbfb3142a

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:d97316dfef98b8a120284569c417fee83f137eabaa53bed6da14152caf701397

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=sha256:8924ade1e7caf0ad1e319addcf3a89792d13ffd4585c8d523c3183713291b788

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:f45779bc1c784b096272f555a1e7a05a6a7d2ad868c6527d5ddda8f241ffe1f7

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=sha256:03bbfb86b53c2cb46c03b4b85bb4d0f6baac46826f64b82fbd892ab4c1f05ef8

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:fdad897c79730242f03b401a9bb44758854e5b516f8bbc8ca722dd834e204a02

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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source=pdf_text observed=2026-08-07T13:03:13.968064Z digest=sha256:8b49682acd88d2571d15fc5d3a8adc0901abe9178918b7cbcd83c9dfa9ce446f

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:03:14.062405Z digest=sha256:a3b0750cb5fc8ca73bdbe41022ce003606ac036a6a1b69647cf7f6da5c98cf28

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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raw_fallback, observed 2026-08-07T13:03:14.977210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:03:14.342344Z digest=sha256:471dbc978cd9930287e0ca19eda9fad9c628db93f997e7ea8a34a546a68e715a

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=sha256:0c1e8e7846858b3eec3bfcd218f11e272cd2fe17742fe58b933396992e8668ee

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:d2453a0f570c3a7cbf8f66c5d5080356fbc39145e813b69bb45f5aad997c9ddb

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:c953c82d49dd94ccce244fcf9405a16ee76f034e5594afb97dd0e004eb35b548

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:b8dcff314e72ccdacb204acac61b5e5acb3390e04859ba08cc10e9f2577d7699

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=sha256:430b886c844c36e3be0bce1ba0d76fa9c40c39ee24d6b6f1cd9fa86061bf73c7

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=sha256:8adcac4b960f03495b3e2536f13cd24110fcd8163db1e781795b885a5d0a8530

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=sha256:28053c27a4ad0c090b10d5f07f240df559df6b49abafe895dc9d38a4628431ef

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T22:16:04.386706Z digest=sha256:796ad0712e0a46fc08d5e48443bf08bd3c4b09683a1592d7673ec94bfb8c236e