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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 2026-08-20T06:33:59.587034+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

  • verified exact5
  • 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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:2cbd7dda38e40e9388d45d5f6cfe3920b99292535b3bd04ce63036104ee52d57

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 2026-08-20T06:33:59.587034+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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verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.324451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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
raw_fallback, observed 2026-05-14T16:11:58.313082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:1449349fc7a61ce4f0c4c68469e20af6e6b54bad4b87ad367d256a98797dad21

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 2026-08-20T06:33:59.587034+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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raw_fallback, observed 2026-05-14T16:11:58.314830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:9f3cbb91d79fa1441a4314d45679702b8a4ff3c0b4a31f1a6007b2227d8fdcdd

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:36352412549a1e071c1e5adf16d701751fe99a6c2018fa1e8f91c41b135fecdd

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:2db0d317050b896355e6bc89626c78449797273f810bb2c128b86294970cd4da

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:57adda1ddb3239fd83d1ceeb308195698baf694dacf28ff46cd27fc44e9c8dd3

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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verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.297599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:a9b49a0c4f9a5b655489db47a0dbdc422d02b11d421ddca8186a9bb3b0572373

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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verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.303377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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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verified fuzzy
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:9b252471957ce4271b2af1b4986c67db79635426a8bae4d2c32110235bc9ca97

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:ec32245d0f1bbc63cc7eeb4eabf3585cfaed9139f3c3e4d734643e1f571a6a27

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

Resolution
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:efcdee3b68e2f2c6ba8bdac9b1cca2b6db92b0892d003780653d7ec228697613

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:dade0264538ebf5012e6dc06c59d462da35d52c6aa6e3fd5c0ec8dfb9eb48636

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:9ec8132b1e60df31776b204863c52093a4d335fa8e50df1dc9fe41bafc1341d1

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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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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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raw_fallback, observed 2026-05-14T16:11:58.311068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:dd91277e7caee23f58cfd591f21487fed0c20165e2f59d82e2dffef733442e8b

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 2026-08-20T06:33:59.587034+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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verified fuzzy
raw_fallback, observed 2026-05-14T16:11:58.362722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:c33921cd704823dacbc05b42ddb328f0dfd7ad4ec59a1bbc349f617e7134aa78

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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verified fuzzy
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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:8b78a22da8f8a32d4493a4de10c30bf74ec0638a635baa2c44cfcb87646de8b6

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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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:8a7b3835ee70611f4be126399a504fb1b532c894a2e24d48e3677f576e7010ca

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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verified fuzzy
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:99fd5c022363a3c2ed0ebc2bb6266550ed84debae3e7bab8d0eb77d07024d0b8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:ab982b7d29eb30abcb8dfb4bafb084581b2e0ab2b3e799ab6a589a099f40baba

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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verified fuzzy
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:64d6e2ff92e75a0634584f9f2169d58367af57d57e4a84873f3931e2a436cd10

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:43c413c186b6ad4095473079e3d0307fdfab62444eb3506418df89482cfeafa4

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:44ad1f4c6de37a693f6499cb53b963d4b027207858e32618108a01ab52bfacbb

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:21bd37c5168d7b2b01c2d78b5d2bdf2ab224b250771a3d9fad7c2d7a8f71f64e

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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verified fuzzy
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:62b6b62d74711e55b4d5ba02b61ece16efc03a537da0973d61a5d7e227aafe4c

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

Resolution
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:1c02fa72002266d9ca79b7357ebd823bf96861b7bdbbeb46119daff60255e9f1

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:01d2c9d7e64c3aa5c177577ea9855bd5c7ca7f4fdd35bba189e09913ece37d05

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:beb0fb58b933f2cba3c3e8b32c3fd35c2207b362cceb8f607f66759be89fa4f9

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:e935fa24bd3d3c208ae80188ca9bc26004c7e31eff060189c8e3fc5676d1c629

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:e03b666e308060acdcaa352c3ff2b73388c8295a2bbd2b5f7c65275c5d56bec6

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:dbc723ccb2431672ab491993b49669f894c791f28292be17e781f6b80b39969c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:717cd9e590f539f51edb505fcc0d9593af42e52fa5ba97d23155dc6e181b7652

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:eecc5307c61f3508494c1e7226e61fd63cd958ae05db009ffdb9a20446555a20

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:ad29bc90ab5a7ee96f6192659deaa3f23b5ba0a4257e7d4b4970c9d9441b9733

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:edbec94e2b35cdd3ab3860a5aa1536d9c7419ed0b9cd3cc51a60290ceb4d41ab

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:55c6d8c6b06c7f74dcc21c8a1efdaa9419c9889e4b5edbbc5993da0bdd42246d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:50cabbd96493b5bfa879cf2d6136e673838f48f9936debc8ca0951888197871e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:c0aa8ef7088a8f0f2c661b52407981c639255527260ee4f0f771cef3726d8fbc

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:4c2ad81a5fff6f3621ccca6479afde45429e0f7823fa651933eea1b813dbf6e8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:9642dd5eb9bd2e8e3539112e3c681a3baee28b9bfec60a00aeb325d9cfe10611

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:6f90a66098a68a67588322c23919742a6ee361a99982f538a0de52f9f44498dc

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:3f578a7ca123f43dc83c2eeac18af39a46f49405203c34e79111ed56ef518c0c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:801fe1d84a113d3b64c995712a28ddac8e1213fdf418442d0eb286c21424b6c5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:583a18c79978b4b698e3e41df72cf5fe3c1c50eed5d76d0cef2d655eec61a00f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:8b928921c74f29364d019dbd8d4eecec4d1bf812fe81cf87368948fb3691de57

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:28e55b6da766a5704d428cfe2d4b096e807b3c3306892dc795b91f36f8cd5423

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:23d336938fd8245b46ecfe59802b82853fcd21c0ec18568419de0459801b182c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:33:09.642350Z digest=sha256:be2c935ee6a6d34a177a3ecd4f3b824c007cbb2022c12744af543771bf58c4af

Pith citing papers

No inbound Pith citation observations are available.