Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Peephole: Predicting Network Performance Before Training
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1712.03351.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T15:38:08.751572Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T06:46:37.663868Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- 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 fdfdea05-e079-4fd1-ab4f-3a61096c69cf · inbound
AutoML: A Survey of the State-of-the-Art cites this paper.
AutoML: A Survey of the State-of-the-Art Peephole: Predicting Network Performance Before Training
Reference 204
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T15:38:08.751572Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aedb617d-6b65-4ac1-80ef-be6601020a37 · inbound
Feature Partitioning for Efficient Multi-Task Architectures cites this paper.
Feature Partitioning for Efficient Multi-Task Architectures Peephole: Predicting Network Performance Before Training
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:48:45.255964Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1a205f9-8642-4373-b4dd-21e5a0dbf566 · inbound
Language Embedding Meets Dynamic Graph: A New Exploration for Neural Architecture Representation Learning cites this paper.
Language Embedding Meets Dynamic Graph: A New Exploration for Neural Architecture Representation Learning Peephole: Predicting Network Performance Before Training
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:32:13.117287Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52855efe-3cd9-4942-a132-5ebebb51235a · inbound
NN-Former: Rethinking Graph Structure in Neural Architecture Representation cites this paper.
NN-Former: Rethinking Graph Structure in Neural Architecture Representation Peephole: Predicting Network Performance Before Training
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:11:58.341892Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3bf4004e-c659-450e-9988-707fb4dc8d7d · inbound
Graph Lineages and Skeletal Graph Products cites this paper.
Graph Lineages and Skeletal Graph Products Peephole: Predicting Network Performance Before Training
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:27:12.459223Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fcef0319-c209-4c93-8ba0-4508310559c4 · inbound
From Regression to Inference: Meta-Learning Predictors for Neural Architecture Search cites this paper.
From Regression to Inference: Meta-Learning Predictors for Neural Architecture Search Peephole: Predicting Network Performance Before Training
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T22:24:07.124785Z
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.