Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T14:25:39.395858Z
Paper Citation Record · LEDGER
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation
As of 18 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 1 inbound Pith citation observation for arXiv:2501.15377.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:45:37.994333Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-16T10:45:38.818003Z
Reference resolution
68 of 68 outbound references displayed
- verified exact2
- verified fuzzy39
- unresolved26
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ed720ae1-480b-46b8-974e-239e8d6ee8db · outbound
This paper cites Agiza, Marina Neseem, and Sherief Reda.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Agiza, Marina Neseem, and Sherief Reda
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d974947f-55bc-4f6f-86e7-029b7ffc68d4 · outbound
This paper cites data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
Reference 2
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b91850d9-7194-4ba9-abd2-42ca387c0535 · outbound
This paper cites Parameter efficient fine-tuning of self-supervised vits without catastrophic forgetting.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Parameter efficient fine-tuning of self-supervised vits without catastrophic forgetting
Reference 3
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d0c7a15b-c92a-475a-a60b-7faf4462b3c2 · outbound
This paper cites Tenenbaum, and Boris Katz.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Tenenbaum, and Boris Katz
Reference 4
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6fc6886f-6e60-434a-88e7-b9cdd56a0da1 · outbound
This paper cites LoRA Learns Less and Forgets Less.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation LoRA Learns Less and Forgets Less
Reference 5
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf723bb8-2e96-4475-a4ad-84a2409d4483 · outbound
This paper cites Food-101 - mining discriminative components with random forests.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Food-101 - mining discriminative components with random forests
Reference 6
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9704d95f-6aff-46d0-a26e-d51c120fbdf5 · outbound
This paper cites Emerg- ing properties in self-supervised vision transformers.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Emerg- ing properties in self-supervised vision transformers
Reference 7
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a9e9d000-2c70-4b74-9f35-4a8d47e8ba76 · outbound
This paper cites A Simple Framework for Contrastive Learning of Visual Representations.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation A Simple Framework for Contrastive Learning of Visual Representations
Reference 8
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16dc6079-919d-4386-8d2e-cb7fd5ec8ae3 · outbound
This paper cites Describing textures in the wild.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Describing textures in the wild
Reference 9
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ed839f95-b496-43da-b09f-2b0030806ac8 · outbound
This paper cites Ng, and Honglak Lee.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Ng, and Honglak Lee
Reference 10
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 82a3de65-8e77-40fa-86fd-9542854a24c5 · outbound
This paper cites Compacter: Efficient low-rank hypercomplex adapter layers.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Compacter: Efficient low-rank hypercomplex adapter layers
Reference 11
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d78ce34e-3269-46f9-a550-f7e0271dd1de · outbound
This paper cites Li, and Li Fei-Fei.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Li, and Li Fei-Fei
Reference 12
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d29194a5-05cd-4053-9acd-5a9529c1b4b7 · outbound
This paper cites The mnist database of handwritten digit images for machine learning research [best of the web].
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation The mnist database of handwritten digit images for machine learning research [best of the web]
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:25:40.704421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 51bbb2be-2321-49ed-ac00-61eb4c02b7fa · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 14
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2a693c4-12db-4ca7-8238-f2d0944d3b03 · outbound
This paper cites Data determines distributional robustness in contrastive language image pre-training (clip).
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Data determines distributional robustness in contrastive language image pre-training (clip)
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b75f3985-0494-467c-b4c2-b37725c3de4d · outbound
This paper cites Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models
Reference 16
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 502dc62b-9ddc-47e5-bd6b-6df15ea09202 · outbound
This paper cites Finetune like you pretrain: Im- proved finetuning of zero-shot vision models.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Finetune like you pretrain: Im- proved finetuning of zero-shot vision models
Reference 17
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 363db8ae-4f0c-48b7-9c2b-fb66e430bac5 · outbound
This paper cites Bootstrap your own latent: A new approach to self-supervised Learning.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Bootstrap your own latent: A new approach to self-supervised Learning
Reference 18
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b5b6029-be12-419c-9cad-26e4d17c7643 · outbound
This paper cites Anchor- based robust finetuning of vision-language models.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Anchor- based robust finetuning of vision-language models
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:25:40.639591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bd92a768-0542-4331-94a0-830155822e3d · outbound
This paper cites Towards a Unified View of Parameter-Efficient Transfer Learning.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Towards a Unified View of Parameter-Efficient Transfer Learning
Reference 20
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 66dec24e-d5b6-4009-b01b-21fc6a47060e · outbound
This paper cites Zhang, Shaoqing Ren, and Jian Sun.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Zhang, Shaoqing Ren, and Jian Sun
Reference 21
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d60f78ba-1358-4d11-b6c2-c81d13ad1e79 · outbound
This paper cites Natural adversarial exam- ples.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Natural adversarial exam- ples
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:25:40.595515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f7fddeb0-3fd1-4edc-85bc-dc936bfc170f · outbound
This paper cites The many faces of robust- ness: A critical analysis of out-of-distribution generalization.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation The many faces of robust- ness: A critical analysis of out-of-distribution generalization
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:25:40.576521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b6276ec0-733e-4f1b-b550-4786bb22eb2e · outbound
This paper cites Parameter-Efficient Transfer Learning for NLP.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Parameter-Efficient Transfer Learning for NLP
Reference 24
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2289a612-3ce0-4775-9a0c-eb81e18ba8d6 · outbound
This paper cites LoRA: Low-Rank Adaptation of Large Language Models.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation LoRA: Low-Rank Adaptation of Large Language Models
Reference 25
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation efb9295f-48de-49ee-b757-3fa9ec1e85ed · outbound
This paper cites Le, Yun-Hsuan Sung, Zhen Li, and Tom Duerig.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Le, Yun-Hsuan Sung, Zhen Li, and Tom Duerig
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:25:40.559072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6de94124-d0a9-46bb-a946-3e5d75e15266 · outbound
This paper cites Visual Prompt Tuning.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Visual Prompt Tuning
Reference 27
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c16b90cb-2fff-4275-9815-4d1098d26685 · outbound
This paper cites MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
Reference 28
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 524ae0c7-da29-41d0-95f5-c5f62fc3ddec · outbound
This paper cites VeRA: Vector-based Random Matrix Adaptation.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation VeRA: Vector-based Random Matrix Adaptation
Reference 29
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76438f68-80e4-4a0c-889b-9df7f9b7b70a · outbound
This paper cites Learning multiple layers of features from tiny images.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Learning multiple layers of features from tiny images
Reference 30
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6b415cff-2590-4d8f-8e20-59b9a8db9012 · outbound
This paper cites Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
Reference 31
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b91e206-f658-472d-baac-1f9c18848fb6 · outbound
This paper cites The power of scale for parameter-efficient prompt tuning.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation The power of scale for parameter-efficient prompt tuning
Reference 32
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6b2df048-99db-4888-91f1-e485d429078c · outbound
This paper cites Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Doll ´ar, and C.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Doll ´ar, and C
Reference 33
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ce26968-e723-46f2-91ba-c580d4a6aa0c · outbound
This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
Reference 34
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 17375174-04a4-48f8-8cf9-2878ce5c2fe1 · outbound
This paper cites Fine-Grained Visual Classification of Aircraft.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Fine-Grained Visual Classification of Aircraft
Reference 35
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee1d16c2-d0c1-4174-8857-215a5b736e47 · outbound
This paper cites SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T14:25:39.708577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f5ccdedd-87b6-4c11-9582-e6f1323fcf24 · outbound
This paper cites Continual vision-language representation learning with off-diagonal information.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Continual vision-language representation learning with off-diagonal information
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:25:40.489426Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 77da8661-79db-496b-9541-53899b176ba7 · outbound
This paper cites Automated flower classification over a large number of classes.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Automated flower classification over a large number of classes
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:25:40.471476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0f710ab5-bf15-439c-83d5-c67f948c018e · outbound
This paper cites Parkhi, Andrea Vedaldi, Andrew Zisserman, and C.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Parkhi, Andrea Vedaldi, Andrew Zisserman, and C
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:25:40.453449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4ecabc01-0878-42e3-9eff-94b6be17cd9a · outbound
This paper cites Girshick, Piotr Doll ´ar, Trevor Dar- rell, and Bharath Hariharan.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Girshick, Piotr Doll ´ar, Trevor Dar- rell, and Bharath Hariharan
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:25:40.434632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1001e89a-edc1-49f5-9024-5f44e10fafcd · outbound
This paper cites Plummer, Liwei Wang, Christopher M.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Plummer, Liwei Wang, Christopher M
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:25:40.413667Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 51edc068-311a-426a-b893-8ac4e8db1f3f · outbound
This paper cites Learning transferable visual models from natural language supervision.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Learning transferable visual models from natural language supervision
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:25:39.243712Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af3ad57a-8a3b-4b87-882a-b782db10ade0 · outbound
This paper cites Residual prompt tuning: Improving prompt tuning with residual reparameterization.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Residual prompt tuning: Improving prompt tuning with residual reparameterization
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:25:40.377033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 45c86392-5d3c-4dfb-999c-cb0b90495290 · outbound
This paper cites Do imagenet classifiers generalize to im- agenet? In International Conference on Machine Learning,.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Do imagenet classifiers generalize to im- agenet? In International Conference on Machine Learning,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:25:40.350637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation dd70b2b8-e40d-49a3-a297-752e9c75b7ec · outbound
This paper cites Tied-lora: Enhancing parameter efficiency of lora with weight tying.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Tied-lora: Enhancing parameter efficiency of lora with weight tying
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:25:40.322255Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 58bec305-acfc-4d8a-855f-c51f4cf19180 · outbound
This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:25:39.266683Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62e484ad-d1d2-445c-bd9a-3830f8c81d5d · outbound
This paper cites Ziplora: Any subject in any style by effectively merging loras.ArXiv, abs/2311.13600, 2023.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Ziplora: Any subject in any style by effectively merging loras.ArXiv, abs/2311.13600, 2023
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:25:39.274601Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dac5b137-a5ea-4329-bb0e-ee665d4ec61d · outbound
This paper cites Conceptual captions: A cleaned, hypernymed, im- age alt-text dataset for automatic image captioning.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Conceptual captions: A cleaned, hypernymed, im- age alt-text dataset for automatic image captioning
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:25:40.303625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cfce7068-7c99-493f-a752-5d01e4ab05b1 · outbound
This paper cites Improved deep metric learning with multi- class n-pair loss objective.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Improved deep metric learning with multi- class n-pair loss objective
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:25:40.283238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 973780cd-962e-4618-86a0-a54b30066fba · outbound
This paper cites A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP).
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T14:25:39.575133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2ff76208-be26-4a79-9334-ccc4b0735e02 · outbound
This paper cites Continual Learning and Catastrophic Forgetting.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Continual Learning and Catastrophic Forgetting
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:25:39.296658Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb1f76cc-2f08-40d8-87a5-224a1c58e721 · outbound
This paper cites Representation Learning with Contrastive Predictive Coding.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Representation Learning with Contrastive Predictive Coding
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:25:39.302693Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d01cc6c-156b-4d5c-a7a4-098aa7ffbe0a · outbound
This paper cites Fowlkes, Rahul Bhotika, and Ste- fan 0 Soatto.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Fowlkes, Rahul Bhotika, and Ste- fan 0 Soatto
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:25:40.263826Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 095e9663-256b-44fc-bca1-a304d920ac89 · outbound
This paper cites Xing, and Zachary Chase Lipton.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Xing, and Zachary Chase Lipton
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:25:40.243856Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 427454fa-9b29-4f1f-86cc-0878d67e7550 · outbound
This paper cites A Sober Look at the Robustness of CLIPs to Spurious Features.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation A Sober Look at the Robustness of CLIPs to Spurious Features
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:25:39.318837Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7587dbd-9ebf-45fe-8444-0f65a8416f83 · outbound
This paper cites Robust fine-tuning of zero-shot models.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Robust fine-tuning of zero-shot models
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:25:40.222340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 018a4023-0dec-4da9-9a62-6e3f5ec0e19f · outbound
This paper cites A practi- cal contrastive learning framework for single-image super- resolution.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation A practi- cal contrastive learning framework for single-image super- resolution
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:25:40.204527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a0cd753c-4946-4276-be21-9379db751317 · outbound
This paper cites Ehinger, Aude Oliva, and Antonio Torralba.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Ehinger, Aude Oliva, and Antonio Torralba
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:25:40.185748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1d981020-da38-42b3-af93-2cb2d76caccc · outbound
This paper cites Detco: Unsuper- vised contrastive learning for object detection.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Detco: Unsuper- vised contrastive learning for object detection
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:25:40.163494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 819cf56c-0917-4a79-8987-0e6908836864 · outbound
This paper cites In- stance localization for self-supervised detection pretraining.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation In- stance localization for self-supervised detection pretraining
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:25:40.144354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 84b4a480-b5a4-45c9-a8bb-f9d999f1712e · outbound
This paper cites DoRA: Weight-Decomposed Low-Rank Adaptation.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation DoRA: Weight-Decomposed Low-Rank Adaptation
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:25:39.353227Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad8d69d8-fa3b-415f-857e-912ffdbfae4c · outbound
This paper cites Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:25:39.358975Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6aaf1bb-4093-4275-b5e6-bf9e7843ce27 · outbound
This paper cites Low-rank few-shot adaptation of vision-language models.2024 IEEE/CVF Con- ference on Computer Vision and Pattern Recognition Work- shops (CVPRW), pages 1593–1603, 2024.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Low-rank few-shot adaptation of vision-language models.2024 IEEE/CVF Con- ference on Computer Vision and Pattern Recognition Work- shops (CVPRW), pages 1593–1603, 2024
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:25:40.121442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ddd08483-817e-4a61-82c2-a52e2d4e9a4f · outbound
This paper cites Adalora: Adaptive budget allocation for parameter-efficient fine-tuning.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Adalora: Adaptive budget allocation for parameter-efficient fine-tuning
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:25:40.103178Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b0fd2492-91db-4a46-ab93-858c3c7137c8 · outbound
This paper cites Preventing zero-shot transfer degradation in continual learning of vision-language mod- els.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Preventing zero-shot transfer degradation in continual learning of vision-language mod- els
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T14:25:40.083209Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d651653a-364d-4c2a-a185-7ec55bec5e08 · outbound
This paper cites Multi-LoRA Composition for Image Generation.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Multi-LoRA Composition for Image Generation
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:25:39.383666Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e528a77e-c804-420a-9956-708e6e6719f6 · outbound
This paper cites an unresolved cited work.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Unresolved cited work
Reference 67
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T14:25:40.056840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 464e9e62-abd0-466a-80b8-1e2966879e1a · outbound
This paper cites an unresolved cited work.
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Unresolved cited work
Reference 68
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-10T14:25:40.036865Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
Observation b6d2361c-e728-48cd-a8b3-9f88bfe0ffb2 · inbound
Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models cites this paper.
Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-16T10:45:38.824484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.