Understanding and Enforcing Weight Disentanglement in Task Arithmetic | Paper Citation Record

Observation 99a01b78-a37d-4192-a9c0-a4146e19732f · outbound

This paper cites Absil, R.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Absil, R

Reference 1

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This paper cites Uni- tary evolution recurrent neural networks.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Uni- tary evolution recurrent neural networks

Reference 2

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Observation 1b27806c-0f21-40f7-8c5b-d4d9328531d5 · outbound

This paper cites Layer Normalization.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Layer Normalization

Reference 3

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Observation 847543ad-b00f-4f8d-9a6f-3b8982a543cf · outbound

This paper cites Remote sens- ing image scene classification: Benchmark and state of the art.Proc.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Remote sens- ing image scene classification: Benchmark and state of the art.Proc

Reference 4

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Observation 954eb2ef-f8d9-43f4-b59d-3434385b0c7b · outbound

This paper cites Describing textures in the wild.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Describing textures in the wild

Reference 5

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Observation 555ed1ab-4c3b-4f92-9aa9-22027919c2e1 · outbound

This paper cites Coxeter and S.L.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Coxeter and S.L

Reference 6

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Observation e0ad3839-948c-4cf7-a9a0-48f2888f389e · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic An image is worth 16x16 words: Transformers for image recognition at scale

Reference 7

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This paper cites The approximation of one ma- trix by another of lower rank.Psychometrika, 1(3):211–218.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic The approximation of one ma- trix by another of lower rank.Psychometrika, 1(3):211–218

Reference 8

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Observation 90df06b0-687f-4b96-987f-e0941089b271 · outbound

This paper cites Task singular vectors: Reducing task interference in model merging.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Task singular vectors: Reducing task interference in model merging

Reference 9

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Observation c587684a-3c54-4f1e-a924-91d23828aa3d · outbound

This paper cites Delving deep into rectifiers: Surpassing human-level per- formance on imagenet classification.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Delving deep into rectifiers: Surpassing human-level per- formance on imagenet classification

Reference 10

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Observation 690fb43f-8a2e-4a5e-9783-5de21a75257b · outbound

This paper cites Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification.IEEE J.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification.IEEE J

Reference 11

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Observation fa476e59-bb66-4b90-a497-746d544c6cef · outbound

This paper cites Dissecting fine-tuning unlearning in large language models.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Dissecting fine-tuning unlearning in large language models

Reference 12

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Observation 5f6ef147-a6d8-47c3-bf2d-81733219da1f · outbound

This paper cites Horn and C.R.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Horn and C.R

Reference 13

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Observation 59e9e7ea-9121-4462-ab64-2eb4932a528c · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:14:16.269273Z

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Observation 5dd4bfd2-f3c7-4435-ae43-08733d6cf189 · outbound

This paper cites Decor- related batch normalization.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Decor- related batch normalization

Reference 15

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Observation 7c3f1469-efc5-4e41-989b-379e6ab3bda0 · outbound

This paper cites Editing models with task arithmetic.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Editing models with task arithmetic

Reference 16

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Observation c188be18-e329-491a-a045-dc5f2a439033 · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal co- variate shift.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Batch normalization: Accelerating deep network training by reducing internal co- variate shift

Reference 17

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Observation 1b360ee1-d899-46c9-8883-07bf4dcb2c67 · outbound

This paper cites Neu- ral tangent kernel: Convergence and generalization in neural networks.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Neu- ral tangent kernel: Convergence and generalization in neural networks

Reference 18

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Observation 2c481feb-99ee-41c2-828c-86aabf6cfaed · outbound

This paper cites Su, and Li Shen.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Su, and Li Shen

Reference 19

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Observation f5369317-bdca-4c42-9ef9-021868bbf24d · outbound

This paper cites Scaling Laws for Neural Language Models.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Scaling Laws for Neural Language Models

Reference 20

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Observation 22adc0c8-f43d-4209-99a6-05a63f71d08e · outbound

This paper cites Collecting a large-scale dataset of fine-grained cars.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Collecting a large-scale dataset of fine-grained cars

Reference 21

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Observation f69caa3c-5649-47d3-a35c-d724f3268b82 · outbound

This paper cites Lecun, L.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Lecun, L

Reference 22

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This paper cites Re- visiting catastrophic forgetting in large language model tun- ing.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Re- visiting catastrophic forgetting in large language model tun- ing

Reference 23

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Observation e9cfa475-f6a5-4f98-a6c9-b47794d258a3 · outbound

This paper cites When is task vector provably effec- tive for model editing? A generalization analysis of nonlin- ear transformers.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic When is task vector provably effec- tive for model editing? A generalization analysis of nonlin- ear transformers

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:14:16.253949Z

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Observation bc374cde-b488-4cd8-93bc-ac51a1376c3e · outbound

This paper cites Luenberger and Y.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Luenberger and Y

Reference 25

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Observation cf2b9f92-179c-43a8-a3c1-adf07745262a · outbound

This paper cites Pre-trained Large Language Models for Financial Sentiment Analysis.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Pre-trained Large Language Models for Financial Sentiment Analysis

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:36:36.497857Z

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Observation 6076451f-76a2-4010-a19a-e24e5c40b71f · outbound

This paper cites An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning

Reference 27

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Observation c1a25dbe-18c6-4cd0-baf8-41b9d4065d1b · outbound

This paper cites an unresolved cited work.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-05-21T16:14:16.248674Z

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Observation 9fd6643c-84b1-4c1c-8f8e-22b16d025487 · outbound

This paper cites Spectral normalization for generative ad- versarial networks.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Spectral normalization for generative ad- versarial networks

Reference 29

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This paper cites On the stability of fine-tuning BERT: miscon- ceptions, explanations, and strong baselines.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic On the stability of fine-tuning BERT: miscon- ceptions, explanations, and strong baselines

Reference 30

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Observation 0101d38e-6efa-4af3-81ac-da55ea7d0195 · outbound

This paper cites Reading digits in natural images with unsupervised feature learning.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Reading digits in natural images with unsupervised feature learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:14:16.219826Z

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Observation 442f332d-7ba0-4c7a-8d9f-dd21144abee4 · outbound

This paper cites Task arithmetic in the tangent space: Improved editing of pre-trained models.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Task arithmetic in the tangent space: Improved editing of pre-trained models

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:14:16.242333Z

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Observation b4c303db-2112-4060-8916-9f01320dc4be · outbound

This paper cites Learning transferable visual models from natural language supervision.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Learning transferable visual models from natural language supervision

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:14:16.244357Z

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Observation c168b418-5c1f-4363-847d-dbee61d83658 · outbound

This paper cites Rivlin.The Chebyshev Polynomials.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Rivlin.The Chebyshev Polynomials

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:14:16.232720Z

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Observation 4a629b0c-83f8-4957-b4da-dc7effded875 · outbound

This paper cites Rudin.Principles of Mathematical Analysis.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Rudin.Principles of Mathematical Analysis

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:14:16.209045Z

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Observation 75aaa5b1-fcec-44a2-8783-f564e0d5dad5 · outbound

This paper cites an unresolved cited work.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-05-21T16:14:16.200342Z

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Observation 58f9b9c7-6b95-4241-8986-3840587174b5 · outbound

This paper cites Saxe, James L.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Saxe, James L

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:14:16.214572Z

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Observation 3af6449d-c40e-415c-a455-86cb1eb41cb8 · outbound

This paper cites The german traffic sign recognition bench- mark: A multi-class classification competition.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic The german traffic sign recognition bench- mark: A multi-class classification competition

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:14:16.228226Z

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Observation f9e3fc85-cb1b-48c9-a2c9-044ebb789981 · outbound

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

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Model merging with SVD to tie the knots

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:14:16.266840Z

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Observation 16c282e5-46cc-42b7-900a-19c5503e7049 · outbound

This paper cites Parameter-efficient multi-task model fusion with partial linearization.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Parameter-efficient multi-task model fusion with partial linearization

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:14:16.204415Z

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Observation 8c7f4900-d685-4b7c-b06a-6e9cb47d4b28 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic LLaMA: Open and Efficient Foundation Language Models

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-05-10T06:36:36.475767Z

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Observation ae2e2758-904e-4589-aa0c-fa9b77cc2c77 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:14:16.230437Z

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Observation 9ee09404-76b9-47ee-be8d-dd9fcaf7c199 · outbound

This paper cites Morcos, Hongseok Namkoong, Ali Farhadi, Yair Carmon, Simon Kornblith, and Ludwig Schmidt.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Morcos, Hongseok Namkoong, Ali Farhadi, Yair Carmon, Simon Kornblith, and Ludwig Schmidt

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:14:16.275712Z

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Observation 8744618d-188a-4e4c-a2d4-45e21c5858c6 · outbound

This paper cites Ehinger, Aude Oliva, and Antonio Torralba.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Ehinger, Aude Oliva, and Antonio Torralba

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:14:16.206941Z

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Observation 02e018f8-4f26-4546-ac24-136f8cb24e7e · outbound

This paper cites Multi-Task Model Merging via Adaptive Weight Disentanglement.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Multi-Task Model Merging via Adaptive Weight Disentanglement

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:36:36.485713Z

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Observation f0057e66-8dc7-44c0-844f-ec403ec4f556 · outbound

This paper cites Raf- fel, and Mohit Bansal.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Raf- fel, and Mohit Bansal

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:14:16.221854Z

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Observation 74df2e62-d748-4412-afda-cef1c99a4b90 · outbound

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

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:16:05.189340Z

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Observation 08d6815b-8d2e-4453-815c-e1af7ca5e09f · outbound

This paper cites Adamerging: Adap- tive model merging for multi-task learning.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Adamerging: Adap- tive model merging for multi-task learning

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:14:16.211599Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ad96f94c-b7f0-4d7b-96d7-47a488a454e5 · outbound

This paper cites Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:36:36.483282Z

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Observation cb66fa37-c500-476e-beba-a51a7bc07b28 · outbound

This paper cites Editing large language models: Problems, methods, and op- portunities.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Editing large language models: Problems, methods, and op- portunities

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:14:16.197877Z

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Observation bbc68394-651d-4f99-8f9b-b11c61b345cf · outbound

This paper cites McAuley, and Hiroki Naganuma.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic McAuley, and Hiroki Naganuma

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:14:16.235303Z

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Observation 8ae1207b-23e1-48fa-8a6c-184dbb6217d3 · outbound

This paper cites Low-rank few-shot adaptation of vision-language models.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Low-rank few-shot adaptation of vision-language models

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:14:16.226090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2205c2a4-58c3-425e-b4c2-01d60d53b15f · outbound

This paper cites Task Vector Bases: A Unified and Scalable Framework for Compressed Task Arithmetic.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Task Vector Bases: A Unified and Scalable Framework for Compressed Task Arithmetic

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-06-24T02:14:20.267926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4ad9bbf7-e24c-450c-a65e-1fd1471c3f1a · outbound

This paper cites Unraveling lora interference: Orthogonal subspaces for robust model merging.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic Unraveling lora interference: Orthogonal subspaces for robust model merging

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:14:16.273716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0365e2ec-53d6-4c6d-b35f-c1fa9301f710 · outbound

This paper cites A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Models.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Models

Reference 55

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:36:36.480752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9cf46e57-b080-406e-9838-8e1f6d7545be · outbound

This paper cites in-domain dis- entanglement.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic in-domain dis- entanglement

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T16:14:16.261647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dc9c0f0c-4b20-44bf-a335-4d0a023a586d · outbound

This paper cites (68) This implies that the squared Euclidean distance between the random vectorJ(x)and its meanµ J is bounded by C 2σ2 J with a probability of at least1−1/C 2.

Understanding and Enforcing Weight Disentanglement in Task Arithmetic (68) This implies that the squared Euclidean distance between the random vectorJ(x)and its meanµ J is bounded by C 2σ2 J with a probability of at least1−1/C 2

Reference 57

Resolution: malformed identifier; arxiv_id, observed 2026-05-10T06:36:36.488366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers