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Paper Citation Record · LEDGER

Predicting Neural Network Accuracy from Weights

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2002.11448.

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

pith.paper-citation-record.v1
2002.11448 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:53:29.304506Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:58:57.267130Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1ff5e324-235e-4322-8944-32f2374a9889 · inbound

Can this Model Also Recognize Dogs? Zero-Shot Model Search from Weights cites this paper.

Can this Model Also Recognize Dogs? Zero-Shot Model Search from Weights Predicting Neural Network Accuracy from Weights

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T20:53:29.304506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:53:29.304506Z digest=sha256:7cdfdbfa6038915f7308aad9370928389d4670382cdb87a88b4be7c236897bda

Observation 4d4b9cf1-ead0-4296-9658-2324865c361f · inbound

Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings cites this paper.

Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings Predicting Neural Network Accuracy from Weights

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-07T13:20:26.420181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:20:26.420181Z digest=sha256:06efe61e7f00e1828b0b5006d4f0aa11e1a6adabcb313e2926894eb2fd9b57f7

Observation e4f63a60-d59b-49ec-b9b6-9e0a928ef223 · inbound

An open dataset of neural networks for hypernetwork research cites this paper.

An open dataset of neural networks for hypernetwork research Predicting Neural Network Accuracy from Weights

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T17:09:33.045303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:09:33.045303Z digest=sha256:f9a0da688aad0f315b5651b669b0fa0dcf9bf03577cdca7c606a41bccfadebc9

Observation 7ab09c0b-a41a-48e8-8a2b-cbebe2789cee · inbound

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding cites this paper.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Predicting Neural Network Accuracy from Weights

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T13:48:05.407676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:48:05.407676Z digest=sha256:5de7546856e382042471d79da1898f00455e2b0116a37858583d0af937bf8cd1

Observation c8294f25-c8e6-494e-a9ab-9cc49fdf9137 · inbound

On the Expressive Power of Permutation-Equivariant Weight-Space Networks cites this paper.

On the Expressive Power of Permutation-Equivariant Weight-Space Networks Predicting Neural Network Accuracy from Weights

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-03T05:57:11.878262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:57:11.878262Z digest=sha256:311b0ac303efd07e96f8c4bff2c7a126740d4a7422633347e744043315c1f1d2

Observation 9cfb9652-0ddc-4e6a-9562-490df2b42006 · inbound

Evaluation without Generation: Non-Generative Assessment of Harmful Model Specialization with Applications to CSAM cites this paper.

Evaluation without Generation: Non-Generative Assessment of Harmful Model Specialization with Applications to CSAM Predicting Neural Network Accuracy from Weights

Reference 58

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T23:31:14.080649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T16:55:19.775120Z digest=sha256:996144c03df0922498175b04c4da6b0796cb4bbb7c31df9380acebccdae47d8f

Observation 8ae38685-7922-4d50-8f57-86dc33d64cc2 · inbound

ModelLens: Finding the Best for Your Task from Myriads of Models cites this paper.

ModelLens: Finding the Best for Your Task from Myriads of Models Predicting Neural Network Accuracy from Weights

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:05:59.638038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-11T01:55:57.223673Z digest=sha256:ebe9a6196f0de2f3659bbaf18f1ff6c0565a94cbe11dc01d149cfe72b7b4017a

Observation 46c115b3-9f0b-4b7a-bfd8-12a85b2875e2 · inbound

What Linear Probes Miss: Multi-View Probing for Weight-Space Learning cites this paper.

What Linear Probes Miss: Multi-View Probing for Weight-Space Learning Predicting Neural Network Accuracy from Weights

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:05:22.811613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-25T05:03:55.000052Z digest=sha256:54b13b7c34ce9992c71c9f714900084871ed770889e0ba341b86f2c7e498b92f

Observation 4c9bae62-4c39-4395-a237-4bf925a36f7d · inbound

Beyond Structural Symmetries: Linear Mode Connectivity via Neuron Identifiability cites this paper.

Beyond Structural Symmetries: Linear Mode Connectivity via Neuron Identifiability Predicting Neural Network Accuracy from Weights

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-07-02T06:16:43.889109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T07:26:25.407267Z digest=sha256:db2c43359cc7e559afa56dd6f0b9ff0aea3ddda40ec37794b471bd6cc20fdba1

Observation 45321384-6d34-4be8-a4e6-3b0dca55a064 · inbound

Towards Learning Representations of Policies in Two-Player Zero-Sum Imperfect-Information Games cites this paper.

Towards Learning Representations of Policies in Two-Player Zero-Sum Imperfect-Information Games Predicting Neural Network Accuracy from Weights

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T20:58:57.268579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-03T20:54:44.991267Z digest=sha256:5506d744558c1f60a8754fb58fd965213da6d70122558a09d57678bf94429582

Observation a60b66a9-63f4-4b1c-9e2c-2d413cbf885c · inbound

Dynamic Neural Graph Encoding of Inference Processes in Deep Weight Space cites this paper.

Dynamic Neural Graph Encoding of Inference Processes in Deep Weight Space Predicting Neural Network Accuracy from Weights

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:08:42.728472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-03T17:03:25.354819Z digest=sha256:fa623b8ab9238eb6ff6b6eea3b940b38628215efbfa91a7412391cab125c6427

Observation d9abf9fe-1ebc-4ac2-b1b1-cf1a78f04c29 · inbound

WeightCLIP: Aligning Datasets and Models for Weight Space Learning cites this paper.

WeightCLIP: Aligning Datasets and Models for Weight Space Learning Predicting Neural Network Accuracy from Weights

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-12T01:40:42.575548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:40:42.575548Z digest=sha256:a82050db0938dc87dd532133c1dbaa7339476d1c3ccec5d77dcec0caa367d32e

Observation 1dd2829e-61da-4613-b2e7-9ab1ee59cb3b · inbound

Predicting Deep Neural Network Training Outcomes from Early Training Telemetry cites this paper.

Predicting Deep Neural Network Training Outcomes from Early Training Telemetry Predicting Neural Network Accuracy from Weights

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T14:22:27.774771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:22:27.774771Z digest=sha256:4097b97a1a8471bdcb3914d32ee608565a8b28ee515bc128f6a459144922cef9