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Paper Citation Record · LEDGER

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts

As of 21 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2605.07256.

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

pith.paper-citation-record.v1
2605.07256 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-11T01:33:09.642350Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

56 of 56 outbound references displayed

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  • verified fuzzy50
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d8040302-14ab-4636-b21c-e77edf1c7e0b · outbound

This paper cites Understanding and simplifying one-shot architecture search.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Understanding and simplifying one-shot architecture search

Reference 1

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verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.328086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 2e013142-87f4-4d5d-88b1-75e4f7daa31f · outbound

This paper cites ProxylessNAS: Direct neural architecture search on target task and hardware.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts ProxylessNAS: Direct neural architecture search on target task and hardware

Reference 2

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verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.326306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 2c3916c7-85dc-4dca-851c-a33320142021 · outbound

This paper cites Once-for-All: Train one network and specialize it for efficient deployment.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Once-for-All: Train one network and specialize it for efficient deployment

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation a6d2b30a-5a25-408f-a649-28fae27f2b68 · outbound

This paper cites Glit: Neural architecture search for global and local image transformer.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Glit: Neural architecture search for global and local image transformer

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation ecf50029-99cb-43c1-a638-7cec02f4b5de · outbound

This paper cites AutoFormer: Searching transformers for visual recognition.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts AutoFormer: Searching transformers for visual recognition

Reference 5

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raw_fallback, observed 2026-05-14T16:11:58.299771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 3947ded9-060a-4194-ba9d-78c39f997315 · outbound

This paper cites Dearkd: data-efficient early knowledge distillation for vision transformers.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Dearkd: data-efficient early knowledge distillation for vision transformers

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:11abbe0b242871d78b98b30548626c95659380ecc18265fd2a390fa29bc9d7b0

Observation 89c47e5b-c692-4b63-a573-5fd217d220ee · outbound

This paper cites Empirical evaluation of gated recurrent neural networks on sequence modeling.NeurIPSW.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Empirical evaluation of gated recurrent neural networks on sequence modeling.NeurIPSW

Reference 7

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raw_fallback, observed 2026-05-14T16:11:58.316602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:26346fe37e9e67ddee0e331115ce91ee5c039c905e6ebdce1d09a4a7cae74e77

Observation 9cae4a87-d75f-4efe-addc-2aa7748c0961 · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:50:20.439308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:8868541bfd52e8be2b070a003ed35ebba2fafdcd1adfee41e26869a1f7f069e8

Observation 8a640749-a7ac-450c-aa21-50fd7720a4c4 · outbound

This paper cites ImageNet: A large-scale hierarchical image database.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts ImageNet: A large-scale hierarchical image database

Reference 9

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raw_fallback, observed 2026-05-14T16:11:58.318521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:1cd88120dc8612ad1dd2c9a49b74854460711f5ce4977e146f513759182730fc

Observation 1999d174-1bce-40ba-b9ce-7234b973c6d3 · outbound

This paper cites Understanding and exploring the network with stochastic architectures.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Understanding and exploring the network with stochastic architectures

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 159ba972-bf46-4b9a-b455-f5cc1a20a27e · outbound

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

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts An image is worth 16x16 words: Trans- formers for image recognition at scale

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:c907e9b13b2ef9fc83c3d9637b469d3f71f8bb2a2fcc5321f3661901e01a8308

Observation 42423ca4-63d8-4d26-996d-993c68660f5b · outbound

This paper cites Convit: Improving vision transformers with soft convolutional inductive biases.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Convit: Improving vision transformers with soft convolutional inductive biases

Reference 12

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raw_fallback, observed 2026-05-14T16:11:58.301571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:2910cf5e37020c2a46635f81c5362eca0a2c8bd644db64a4ccb770e9e2e9f127

Observation 8a6bdd78-f252-4454-ae1f-b8613255bb20 · outbound

This paper cites Buehler E.L.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Buehler E.L

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:1dd2252fb9c7165cba7af550c36d5cc917be5193516b60d545c94587cc999ca7

Observation 2c258618-3f3e-43b4-b467-a73d9d2d5162 · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.JMLR.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.JMLR

Reference 14

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verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.322733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:dad4c62dee42f81709107db2c88044374d80a452a37d50414dad93c483d10418

Observation 9c5db77a-31fa-47e5-89f7-550eaf5e78ea · outbound

This paper cites Higher Layers Need More LoRA Experts.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Higher Layers Need More LoRA Experts

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:40:52.561959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 86a25346-cf00-410a-86f1-0553904d5b92 · outbound

This paper cites A comparative anal- ysis of selection schemes used in genetic algorithms.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts A comparative anal- ysis of selection schemes used in genetic algorithms

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 3b393e98-c0f2-46e7-af2b-5658c25f5ada · outbound

This paper cites Transformer in transformer.NeurIPS.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Transformer in transformer.NeurIPS

Reference 17

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raw_fallback, observed 2026-05-14T16:11:58.305048Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 7fe43abb-8b64-43d6-9332-a392c2b2c163 · outbound

This paper cites Deep residual learning for image recognition.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Deep residual learning for image recognition

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 33840a76-1667-41c2-953a-c3c4e7a7b839 · outbound

This paper cites Long short-term memory.Neural computation.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Long short-term memory.Neural computation

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 841c14c9-cd40-437d-919f-e170a4fa6048 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 20

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verified exact
arxiv_id, observed 2026-05-11T02:50:41.039820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation cdd04290-f8e6-4d4e-9275-00f6ecad366e · outbound

This paper cites Lora: Low-rank adaptation of large language models.ICLR.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Lora: Low-rank adaptation of large language models.ICLR

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 82e7d949-ca36-40d8-a3a2-680a23089864 · outbound

This paper cites an unresolved cited work.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Unresolved cited work

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 8740688f-bd2a-40be-a065-416ba708a7cb · outbound

This paper cites Subnet- aware dynamic supernet training for neural architecture search.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Subnet- aware dynamic supernet training for neural architecture search

Reference 23

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raw_fallback, observed 2026-05-14T16:11:58.382861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 7f17feca-6b8f-4816-8d6a-1d769623cb5e · outbound

This paper cites Similarity of neural network representations revisited.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Similarity of neural network representations revisited

Reference 24

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raw_fallback, observed 2026-05-14T16:11:58.339062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation e4d52fdd-e14d-404d-a243-895808ec3a45 · outbound

This paper cites 3d object representations for fine-grained categorization.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts 3d object representations for fine-grained categorization

Reference 25

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raw_fallback, observed 2026-05-14T16:11:58.329849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation cd4df5ac-5316-49bb-af45-c83576c146c9 · outbound

This paper cites Learning multiple layers of features from tiny images.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Learning multiple layers of features from tiny images

Reference 26

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verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.381173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 7767d23f-6542-4489-bf52-547271e6c7d5 · outbound

This paper cites AZ-NAS: Assembling zero- cost proxies for network architecture search.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts AZ-NAS: Assembling zero- cost proxies for network architecture search

Reference 27

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raw_fallback, observed 2026-05-14T16:11:58.337345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:5fd9c593578aba6c0a1f463e7c6b9e8b3ec5ee6b4a84e8726a784e80163b89a1

Observation 51f116c0-c66f-4cac-8007-c906a52f7f1d · outbound

This paper cites Gshard: Scaling giant models with conditional computation and automatic sharding.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Gshard: Scaling giant models with conditional computation and automatic sharding

Reference 28

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raw_fallback, observed 2026-05-14T16:11:58.331678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:142af3786284c084665b07f55d095447087d5b774ff6878cc9b24def3b9ecafd

Observation 953ef326-1656-450a-92be-6a232df4a1a7 · outbound

This paper cites DARTS: Differentiable architecture search.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts DARTS: Differentiable architecture search

Reference 29

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raw_fallback, observed 2026-05-14T16:11:58.377877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:a9bfceace597179550732be639f3f1a775ced226f454fda3179afb9df4e83f7d

Observation 59517a1c-790e-477d-8151-707f9a286048 · outbound

This paper cites FocusFormer: Focusing on What We Need via Architecture Sampler.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts FocusFormer: Focusing on What We Need via Architecture Sampler

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:40:52.548708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:0fbb82a916b339b5e60cae784d0f46ffb4f8a924c11d1eb606bed91cedb45242

Observation 6b512067-fa8e-4b3e-af83-e5625eb5e86f · outbound

This paper cites Dora: Weight-decomposed low-rank adaptation.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Dora: Weight-decomposed low-rank adaptation

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.342597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:d66bc71dbef70371e1e5b5745099e85670e7d79fe8d87b5dfa683c39eb4891f3

Observation 8a377180-ca7b-4a35-94b4-31e374811b89 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Swin transformer: Hierarchical vision transformer using shifted windows

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.388337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:876bce0c7c45f1a5764344ea7a8d4ff21632f907ad8be8a37ef897007390f7fa

Observation 97adaa24-bb2f-4f68-963f-9c1dde2362b2 · outbound

This paper cites Decoupled weight decay regularization.ICLR.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Decoupled weight decay regularization.ICLR

Reference 33

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raw_fallback, observed 2026-05-14T16:11:58.366515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:bd7dce257b2e4873b6ce80999368258c9305ca03f82c8d54a9bbb90e532ca7fe

Observation 3c99365d-6f4d-422a-af73-48156d182929 · outbound

This paper cites Pissa: Prin- cipal singular values and singular vectors adaptation of large language models.NeurIPS.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Pissa: Prin- cipal singular values and singular vectors adaptation of large language models.NeurIPS

Reference 34

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verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.357213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:d5b872123ae6cd457f4c09bba8ab9513121598f5826826051d2eab489b9cde8c

Observation 539f344a-3ff9-448a-aef9-36c00f71c8fc · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Efficient Estimation of Word Representations in Vector Space

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-11T02:20:55.213675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:a733774eca5f4e2d3592d9eb3bc5e8227de84fe4b43172cc5b4a90dea512a744

Observation 582a58a2-9870-43a8-9069-0d780634c61b · outbound

This paper cites Automated flower classification over a large number of classes.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Automated flower classification over a large number of classes

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.350031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:e69a6a27fb1dfbbe0b096aefde6108002c50292cc083cda8130a346bda51f98f

Observation e685dab6-b593-46c5-a78a-8958cd982e03 · outbound

This paper cites Efficient few-shot neural architecture search by counting the number of nonlinear functions.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Efficient few-shot neural architecture search by counting the number of nonlinear functions

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.374209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:b359c4d94d20ee61e5d3e8db6884372464812dbbe6641fc755d8935af2f8a7e6

Observation 6aa80a59-ff0d-4712-87f8-4049e67bcfa0 · outbound

This paper cites Pi-nas: Improving neural archi- tecture search by reducing supernet training consistency shift.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Pi-nas: Improving neural archi- tecture search by reducing supernet training consistency shift

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.370439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:5f06adb2ef75cea97351ff3ef835ddf0124ecbfb8ad4d538cf6a0b747d396eeb

Observation 51c99180-f1ef-42b8-864a-7da991c82e79 · outbound

This paper cites Glove: Global vectors for word representation.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Glove: Global vectors for word representation

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.390076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:cf79d16c37743c5316f537c841b31a0fe1819b021d17553eb9aff76ce4995e65

Observation 7fe689d5-e69f-4605-b5f3-20c121212cce · outbound

This paper cites MobileNetV2: Inverted residuals and linear bottlenecks.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts MobileNetV2: Inverted residuals and linear bottlenecks

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.359036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:b08cc3c023bc3f01b3d5e9a888d5aa9d99212b90d104257058dbabae37d066af

Observation a5964d10-bcf0-4575-afdb-1210078ddb4e · outbound

This paper cites Outra- geously large neural networks: The sparsely-gated mixture- of-experts layer.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Outra- geously large neural networks: The sparsely-gated mixture- of-experts layer

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.372425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:6bb2aecdcc560e5e5c0d2e33be9378620c2f51d041beee842e7446f3e6575613

Observation 56696553-8685-4dc2-a049-453e795e83cf · outbound

This paper cites Vitas: Vision transformer architecture search.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Vitas: Vision transformer architecture search

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.375987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:11975f8fb66adcf18ee4db407e604c04c021850c952469bc5d44cd935e3ad4c7

Observation 68f9d525-d343-4e42-a6e3-e8294b5f6b19 · outbound

This paper cites Unleashing the power of gradient signal-to-noise ratio for zero-shot NAS.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Unleashing the power of gradient signal-to-noise ratio for zero-shot NAS

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.346612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:148b46cdd8b0c08b4cddfa816e2830dc92d738421ae1f42d9408f9a6e03d5f74

Observation 9752699f-255e-475c-852c-8af4af1c9f56 · outbound

This paper cites EfficientNet: Rethinking model scaling for convolutional neural networks.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts EfficientNet: Rethinking model scaling for convolutional neural networks

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.364561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:e2e01e7b0716a947f14a4af1054b483afc9e2cbb3d88450dde58bd5cc570b950

Observation 7bcc8bff-0130-4c4b-8ff2-0de23ccd226e · outbound

This paper cites Training data-efficient image transformers & distillation through atten- tion.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Training data-efficient image transformers & distillation through atten- tion

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.368296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:39b5282edba22d89fe6eac93d5ba5a5e8516370a87a707ac2dd3f01af70649ff

Observation e9066f93-5645-4dcb-af2e-608e8ebd6c63 · outbound

This paper cites The inaturalist species classification and detection dataset.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts The inaturalist species classification and detection dataset

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.360826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:14da78c592f0abb93fe33ac513ff0609f7709194a52ed5189f35f3918dfbfa1a

Observation 4fb40306-588e-49e0-8717-bd8644f552bb · outbound

This paper cites Attention is all you need.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Attention is all you need

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.384494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:daac4605851fea37bd1d6c20e5fa289e3d69b02748d0b65b30bb3a9d675e441c

Observation dddced3d-7839-4acc-979c-1ce0a3a3c35f · outbound

This paper cites Prenas: Preferred one-shot learning towards efficient neural architec- ture search.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Prenas: Preferred one-shot learning towards efficient neural architec- ture search

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.355461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:e4b6e3115c7612e850dbc914221eecbb11d3cbeaf628a2e0bd65a0ee939affba

Observation 155a46ae-5a1e-4877-b6f2-b964f55009a3 · outbound

This paper cites Pyra- mid vision transformer: A versatile backbone for dense pre- diction without convolutions.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Pyra- mid vision transformer: A versatile backbone for dense pre- diction without convolutions

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.351849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:e0b947fbdadb5cff174b9890cd86eed087311f09133d2f9c5300d3b07d7784d6

Observation 305357bf-5878-408b-9fae-33e034782772 · outbound

This paper cites Auto- prox: Training-free vision transformer architecture search via automatic proxy discovery.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Auto- prox: Training-free vision transformer architecture search via automatic proxy discovery

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.344506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:57fe44bc45ea53365e475a0ffb1b2bb53bb34336933af409301c017bc9258cc6

Observation 9f4cfdf4-5942-4860-a2da-1a4bfcd9bfbd · outbound

This paper cites Mixture of loRA experts.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Mixture of loRA experts

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.348310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:e0db5727b2675ff7cada1c2c5c3f600146024a6f193c8a8683c9b7106ff123dd

Observation 5f6e84db-acdb-48f2-abbd-6888b834ead2 · outbound

This paper cites Vitae: Vision transformer advanced by exploring intrinsic inductive bias.NeurIPS.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Vitae: Vision transformer advanced by exploring intrinsic inductive bias.NeurIPS

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.386259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:f1eda56507409fbf402801aec76b6d503f393fffc0a572636e7a833db6aaf894

Observation a8240bdb-25e7-49f1-9319-f7637fa366a0 · outbound

This paper cites Multi-task dense prediction via mixture of low-rank experts.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Multi-task dense prediction via mixture of low-rank experts

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.379527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:5b6afa94dbe60084de7bf558bbe2c41054661455a33a29d50e014f7c7f89bc36

Observation 8c0911c5-d124-4dbb-9f67-50b848cf3f1b · outbound

This paper cites Adalora: Adaptive budget allocation for parameter- efficient fine-tuning.ICLR.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Adalora: Adaptive budget allocation for parameter- efficient fine-tuning.ICLR

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.340870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:b3011770e6e5bde7d67d1dd0efda93e5f067ef6ef5a268629a0b0497208b355a

Observation 0e55e5b3-c935-46ad-a0b6-e30310c8a721 · outbound

This paper cites Few-shot neural architecture search.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Few-shot neural architecture search

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.335462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:8c589c9dd9b271f8cacf2fa600fd2fc3a56baf225142ca32040f4b27a44bb468

Observation abe0f85d-7b97-4cad-9016-178d40d87bb9 · outbound

This paper cites Training-free transformer architecture search.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Training-free transformer architecture search

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.333699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:c9d01590c201d308c92be2ddea5e31273760f76e1725efb1295eeace2386ae01

Pith citing papers

No inbound Pith citation observations are available.