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Paper Citation Record · LEDGER

LLM Performance Predictors are good initializers for Architecture Search

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2310.16712.

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

pith.paper-citation-record.v1
2310.16712 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:37:09.745953Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T22:22:51.715952Z

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 334c868d-1fa5-4fbf-b8f6-63725dedded4 · inbound

"Explain, Don't Just Warn!" -- A Real-Time Framework for Generating Phishing Warnings with Contextual Cues cites this paper.

"Explain, Don't Just Warn!" -- A Real-Time Framework for Generating Phishing Warnings with Contextual Cues LLM Performance Predictors are good initializers for Architecture Search

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T22:37:09.745953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:37:09.745953Z digest=sha256:21d5f1d3e44074784a3c9242a91184bc522c3ab1b6f62b0cbff5c04674059acc

Observation 6a6de6e7-de9d-4664-868e-e3ff03852ed8 · inbound

EfficientLLM: Efficiency in Large Language Models cites this paper.

EfficientLLM: Efficiency in Large Language Models LLM Performance Predictors are good initializers for Architecture Search

Reference 273

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:39.039692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:13:39.039692Z digest=sha256:a4c39584c33c3bbc38c157f03898c2740babc7aa8cc4ce6f3a08339e9b5cc1a8

Observation 3624ab1d-c125-4598-b926-a9fe0cd57a0f · inbound

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation cites this paper.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation LLM Performance Predictors are good initializers for Architecture Search

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T20:12:30.985785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:12:30.985785Z digest=sha256:761471a28532326eafefda80e83db3d3cd49df1ba4a5ddedeb7b8d03f456f175

Observation 4277b1f4-5a03-4635-a0e8-8f9341c6abf5 · inbound

CLONE: Customizing LLMs for Efficient Latency-Aware Inference at the Edge cites this paper.

CLONE: Customizing LLMs for Efficient Latency-Aware Inference at the Edge LLM Performance Predictors are good initializers for Architecture Search

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T11:20:30.178185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:20:30.178185Z digest=sha256:a813d21ddb5bc13b8634a1aa42988d6a30e340d0df2df29e18ee8c288bd87958

Observation 3adb1e4f-e078-4edc-b5eb-f710a3fe34c8 · inbound

KompeteAI: Accelerated Autonomous Multi-Agent System for End-to-End Pipeline Generation for Machine Learning Problems cites this paper.

KompeteAI: Accelerated Autonomous Multi-Agent System for End-to-End Pipeline Generation for Machine Learning Problems LLM Performance Predictors are good initializers for Architecture Search

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:22:51.719028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-18T22:22:19.478156Z digest=sha256:e0f5aab8970a1bd9946d946a9ec8ef944bffa9721b75d66618185659afcbc5a2

Observation c780d199-d89e-4ebb-bdc1-0f711d100ff6 · inbound

A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving cites this paper.

A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving LLM Performance Predictors are good initializers for Architecture Search

Reference 128

Resolution
unresolved
no resolver link, observed 2026-08-04T20:55:41.593408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:55:41.593408Z digest=sha256:4eacc16791eea424f509b9b0cbb00e0da28d6b809ec8a516c750849441bb731b

Observation 039de6ef-0893-497c-96ac-7539cbca7808 · inbound

Cognitive-YOLO: LLM-Driven Architecture Synthesis from First Principles of Data for Object Detection cites this paper.

Cognitive-YOLO: LLM-Driven Architecture Synthesis from First Principles of Data for Object Detection LLM Performance Predictors are good initializers for Architecture Search

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-03T16:45:51.652442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:45:51.652442Z digest=sha256:6a59745a8d5d78d82800c83e6a98e088660aaa111f715d708e735976bc1e84a1