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Paper Citation Record · LEDGER

GradAlign for Training-free Model Performance Inference

As of 12 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2411.19819.

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

pith.paper-citation-record.v1
2411.19819 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:52:22.018444Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

59 of 59 outbound references displayed

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  • unresolved30
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 201101fb-e94f-4ad2-840b-068fb4163de8 · outbound

This paper cites Zero-Cost Proxies for Lightweight NAS.

GradAlign for Training-free Model Performance Inference Zero-Cost Proxies for Lightweight NAS

Reference 1

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Observation 08904327-bc0c-4cbc-85cd-17a140c78835 · outbound

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GradAlign for Training-free Model Performance Inference Unresolved cited work

Reference 2

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Observation 5514cbd5-7f33-4028-b091-dbf86023a164 · outbound

This paper cites cam- bridge university press (1999).

GradAlign for Training-free Model Performance Inference cam- bridge university press (1999)

Reference 3

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Observation d3f0700f-2f5a-4059-a7e3-73de9cefd225 · outbound

This paper cites Beyond Linearization: On Quadratic and Higher-Order Approximation of Wide Neural Networks.

GradAlign for Training-free Model Performance Inference Beyond Linearization: On Quadratic and Higher-Order Approximation of Wide Neural Networks

Reference 4

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Observation 55305073-a017-414d-970d-1310956c2709 · outbound

This paper cites In: International Conference on Machine Learning.

GradAlign for Training-free Model Performance Inference In: International Conference on Machine Learning

Reference 5

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Observation 79357f2e-5e82-409e-9d02-7480bb44fc28 · outbound

This paper cites Advances in neural information processing systems9 (1996).

GradAlign for Training-free Model Performance Inference Advances in neural information processing systems9 (1996)

Reference 6

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This paper cites Advances in neural information processing systems30 (2017).

GradAlign for Training-free Model Performance Inference Advances in neural information processing systems30 (2017)

Reference 7

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Observation c4e1bfdd-3686-4d40-9efb-89d0b94aa21b · outbound

This paper cites In: International Conference on Ma- chine Learning.

GradAlign for Training-free Model Performance Inference In: International Conference on Ma- chine Learning

Reference 8

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Observation 6de3f2aa-e1a8-47ea-8f2e-dd295116f87d · outbound

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GradAlign for Training-free Model Performance Inference Unresolved cited work

Reference 9

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Observation deaecedb-3377-47a3-9ce7-19683aecc498 · outbound

This paper cites Efficient Lifelong Learning with A-GEM.

GradAlign for Training-free Model Performance Inference Efficient Lifelong Learning with A-GEM

Reference 10

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Observation 8c6fc3bf-24fe-4a63-b641-426534b591e5 · outbound

This paper cites Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective.

GradAlign for Training-free Model Performance Inference Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective

Reference 11

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Observation a23209a9-7c09-4f96-af2b-0a500cf78a92 · outbound

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GradAlign for Training-free Model Performance Inference Unresolved cited work

Reference 12

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Observation ea1e2047-a431-4a62-97f5-55eaf6b91ffc · outbound

This paper cites Mathe- matics of control, signals and systems2(4), 303–314 (1989).

GradAlign for Training-free Model Performance Inference Mathe- matics of control, signals and systems2(4), 303–314 (1989)

Reference 13

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Observation f8602af1-88ed-4ad4-a56a-4d8fd7fa6435 · outbound

This paper cites NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search.

GradAlign for Training-free Model Performance Inference NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search

Reference 14

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Observation ba7e8bf9-833a-4f3b-9c54-bef432a5d0b4 · outbound

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GradAlign for Training-free Model Performance Inference Unresolved cited work

Reference 15

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Observation e43afa34-4c81-45cd-b61a-46bfd55de760 · outbound

This paper cites Advances in Neural Information Processing Systems33, 1023–1035 (2020).

GradAlign for Training-free Model Performance Inference Advances in Neural Information Processing Systems33, 1023–1035 (2020)

Reference 16

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Observation 7bdd2348-dfda-421a-aea8-3964b2401bd2 · outbound

This paper cites In: European conference on computer vision.

GradAlign for Training-free Model Performance Inference In: European conference on computer vision

Reference 17

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Observation e9f0df1c-18df-4e12-9b09-e3385147621a · outbound

This paper cites In: Interna- tional Conference on Machine Learning.

GradAlign for Training-free Model Performance Inference In: Interna- tional Conference on Machine Learning

Reference 18

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Observation 683b663d-d4cf-4836-a055-507fbd52d31d · outbound

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GradAlign for Training-free Model Performance Inference In: Conference on learning theory

Reference 19

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Observation 3e1d444d-a24b-449f-ad7a-28bea02bb0bb · outbound

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GradAlign for Training-free Model Performance Inference Unresolved cited work

Reference 20

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GradAlign for Training-free Model Performance Inference In: International conference on machine learning

Reference 21

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This paper cites Advances in neural information processing systems 31 (2018).

GradAlign for Training-free Model Performance Inference Advances in neural information processing systems 31 (2018)

Reference 22

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GradAlign for Training-free Model Performance Inference Biometrika 30(1/2), 81–93 (1938)

Reference 23

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Observation 0d6458e4-8a86-4a16-89e3-397cf33fe8ff · outbound

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GradAlign for Training-free Model Performance Inference NeurIPS (2019)

Reference 24

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Observation 444d9231-082c-4b01-958e-6ae7c92e0ccf · outbound

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GradAlign for Training-free Model Performance Inference SNIP: Single-shot Network Pruning based on Connection Sensitivity

Reference 25

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GradAlign for Training-free Model Performance Inference In: Uncertainty in artificial intelligence

Reference 26

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GradAlign for Training-free Model Performance Inference In: Conference on learning theory

Reference 27

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GradAlign for Training-free Model Performance Inference In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 28

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GradAlign for Training-free Model Performance Inference Unresolved cited work

Reference 29

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GradAlign for Training-free Model Performance Inference DARTS: Differentiable Architecture Search

Reference 30

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GradAlign for Training-free Model Performance Inference Advances in neural information processing systems30 (2017)

Reference 31

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GradAlign for Training-free Model Performance Inference AtomNAS: Fine-Grained End-to-End Neural Architecture Search

Reference 32

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GradAlign for Training-free Model Performance Inference In: ICML

Reference 33

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GradAlign for Training-free Model Performance Inference Advances in neural information processing systems27 (2014)

Reference 34

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This paper cites Advances in neural information processing systems30 (2017).

GradAlign for Training-free Model Performance Inference Advances in neural information processing systems30 (2017)

Reference 35

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GradAlign for Training-free Model Performance Inference In: Conference on learning theory

Reference 36

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GradAlign for Training-free Model Performance Inference Unresolved cited work

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 51f890e3-5206-4b35-8923-9994a33e78ca · outbound

This paper cites an unresolved cited work.

GradAlign for Training-free Model Performance Inference Unresolved cited work

Reference 38

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation a07cbe34-c546-4f23-bfd3-a752df54993b · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

GradAlign for Training-free Model Performance Inference In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 39

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raw_fallback, observed 2026-08-12T05:52:22.550877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:52:21.915895Z digest=sha256:56170f191079e77bc7f2b9552b647e8992912ee14bfe46bf8321a2dcb798278a

Observation c6f761e6-e49a-43c3-9db6-566804eacdd1 · outbound

This paper cites an unresolved cited work.

GradAlign for Training-free Model Performance Inference Unresolved cited work

Reference 40

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raw_fallback, observed 2026-08-12T05:52:22.535328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 3b794e29-f381-4915-86e4-69c282070283 · outbound

This paper cites In: International Conference on Medical image computing and computer-assisted intervention.

GradAlign for Training-free Model Performance Inference In: International Conference on Medical image computing and computer-assisted intervention

Reference 41

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raw_fallback, observed 2026-08-12T05:52:22.518133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation be0f6b11-3727-4ef9-87c8-5a50d663090f · outbound

This paper cites an unresolved cited work.

GradAlign for Training-free Model Performance Inference Unresolved cited work

Reference 42

Resolution
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raw_fallback, observed 2026-08-12T05:52:22.501119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation dc8de3cf-3d8a-4f2c-924d-3f729ade9559 · outbound

This paper cites In: International Conference on Machine Learning.

GradAlign for Training-free Model Performance Inference In: International Conference on Machine Learning

Reference 43

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verified fuzzy
raw_fallback, observed 2026-08-12T05:52:22.484188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 958ee5ad-cead-43c7-883a-ce0917baba18 · outbound

This paper cites an unresolved cited work.

GradAlign for Training-free Model Performance Inference Unresolved cited work

Reference 44

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raw_fallback, observed 2026-08-12T05:52:22.468565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 9bec1379-655b-4044-80ff-b264f7c80ea3 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

GradAlign for Training-free Model Performance Inference In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 45

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verified fuzzy
raw_fallback, observed 2026-08-12T05:52:22.452963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d9af80a8-2692-4db4-b66c-df9a5afc315d · outbound

This paper cites Advances in neural information processing systems 33, 6377–6389 (2020).

GradAlign for Training-free Model Performance Inference Advances in neural information processing systems 33, 6377–6389 (2020)

Reference 46

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raw_fallback, observed 2026-08-12T05:52:22.434524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation b75f4a21-23f1-4bd3-b15b-32412ddeeb33 · outbound

This paper cites Representation Benefits of Deep Feedforward Networks.

GradAlign for Training-free Model Performance Inference Representation Benefits of Deep Feedforward Networks

Reference 47

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no resolver link, observed 2026-08-12T05:52:21.956430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2b941cf8-c091-4792-aea3-337bd45b52e6 · outbound

This paper cites Faster gaze prediction with dense networks and Fisher pruning.

GradAlign for Training-free Model Performance Inference Faster gaze prediction with dense networks and Fisher pruning

Reference 48

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no resolver link, observed 2026-08-12T05:52:21.961840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:52:21.961840Z digest=sha256:0375606e6f6ebd3f4935ab2b46cd747eb923686c8d9aa59d73b63bd800785bc2

Observation 583b95d5-276b-4096-abb8-1bac657b6c8c · outbound

This paper cites Picking Winning Tickets Before Training by Preserving Gradient Flow.

GradAlign for Training-free Model Performance Inference Picking Winning Tickets Before Training by Preserving Gradient Flow

Reference 49

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cdeba43a-f9fd-421f-b178-85ed31627a22 · outbound

This paper cites In: ICLR Blog Track (2022), https: //iclr-blog-track.github.io/2022/03/25/zero-cost-proxies/ , https://iclr- blog-track.github.io/2022/03/25/zero-cost-proxies/.

GradAlign for Training-free Model Performance Inference In: ICLR Blog Track (2022), https: //iclr-blog-track.github.io/2022/03/25/zero-cost-proxies/ , https://iclr- blog-track.github.io/2022/03/25/zero-cost-proxies/

Reference 50

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raw_fallback, observed 2026-08-12T05:52:22.415629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 42769852-62dd-45f1-9ba6-5c265086fe99 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Con- ference on Computer Vision.

GradAlign for Training-free Model Performance Inference In: Proceedings of the IEEE/CVF International Con- ference on Computer Vision

Reference 51

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raw_fallback, observed 2026-08-12T05:52:22.399114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 8445eca8-3403-4e8d-a322-d283640666cc · outbound

This paper cites PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search.

GradAlign for Training-free Model Performance Inference PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search

Reference 52

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no resolver link, observed 2026-08-12T05:52:21.982220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 353e31bc-de58-484b-aedb-9481bf17cccb · outbound

This paper cites Advances in neural information processing systems30 (2017).

GradAlign for Training-free Model Performance Inference Advances in neural information processing systems30 (2017)

Reference 53

Resolution
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raw_fallback, observed 2026-08-12T05:52:22.381810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 63c9314d-a1a3-4ee3-8be8-b4e6e064a70d · outbound

This paper cites In: International conference on machine learning.

GradAlign for Training-free Model Performance Inference In: International conference on machine learning

Reference 54

Resolution
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raw_fallback, observed 2026-08-12T05:52:22.365180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:52:21.992588Z digest=sha256:335eb59262f868f9b2b9829a968466c3b7670c2ae894d577e0c21540daa6c676

Observation 4f7e29be-fa00-4974-b1c7-d026d357a396 · outbound

This paper cites Empirical Studies on the Properties of Linear Regions in Deep Neural Networks.

GradAlign for Training-free Model Performance Inference Empirical Studies on the Properties of Linear Regions in Deep Neural Networks

Reference 55

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e1095aca-5b84-41fd-b1cc-5cbab081907f · outbound

This paper cites GradSign: Model Performance Inference with Theoretical Insights.

GradAlign for Training-free Model Performance Inference GradSign: Model Performance Inference with Theoretical Insights

Reference 56

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no resolver link, observed 2026-08-12T05:52:22.002819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:52:22.002819Z digest=sha256:e728ea1303fbced16375a79de88c394a750d6ad12538364812554cc59fed5d93

Observation f3e5f462-95c4-4574-87b6-700352c62edc · outbound

This paper cites an unresolved cited work.

GradAlign for Training-free Model Performance Inference Unresolved cited work

Reference 57

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raw_fallback, observed 2026-08-12T05:52:22.348010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:52:22.008162Z digest=sha256:ef864c0a63258ea69dac13ba43fbac1fc948cce0cbb0b904fbab9d5751f99f0d

Observation bef98019-f1b7-47a0-ae90-2769e010f6c3 · outbound

This paper cites Neural Architecture Search with Reinforcement Learning.

GradAlign for Training-free Model Performance Inference Neural Architecture Search with Reinforcement Learning

Reference 58

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:52:22.013204Z digest=sha256:1aa71861b7f4b87bbb9e427ac4309679d34d42a95b4434eb791fba6346b73e43

Observation 05061c4f-2c42-4507-8df7-e7d3da2346f1 · outbound

This paper cites Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization.

GradAlign for Training-free Model Performance Inference Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization

Reference 59

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:52:22.018444Z digest=sha256:899df302eb99fcf9f433e886b896ece9ad9842564f9839264d6b25f0d6d81076

Pith citing papers

No inbound Pith citation observations are available.