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Paper Citation Record · LEDGER

AutoML-Zero: Evolving Machine Learning Algorithms From Scratch

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2003.03384.

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

pith.paper-citation-record.v1
2003.03384 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:28:27.133536Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T03:27:45.306096Z

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 66500e64-32ee-4ed5-a8bc-4d59fc6afdff · inbound

ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning cites this paper.

ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning AutoML-Zero: Evolving Machine Learning Algorithms From Scratch

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-15T19:28:27.133536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:28:27.133536Z digest=sha256:93703a8db4f870620c90a3d457197be8c9f5fe2735227b1c94c0e77dfd810bac

Observation 0ad37c5d-8f9c-40b2-89f1-bddb7f290336 · inbound

ResearchEVO: An End-to-End Framework for Automated Scientific Discovery and Documentation cites this paper.

ResearchEVO: An End-to-End Framework for Automated Scientific Discovery and Documentation AutoML-Zero: Evolving Machine Learning Algorithms From Scratch

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T22:30:53.807800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T19:45:04.315752Z digest=sha256:4b5b64aaf31fe8891a6042b70a3dd669fd10ca086da7426896ad4367a3ea5058

Observation 4a467787-e6f7-4311-9ba6-00b71a441f90 · inbound

CVEvolve: Autonomous Algorithm Discovery for Unstructured Scientific Data Processing cites this paper.

CVEvolve: Autonomous Algorithm Discovery for Unstructured Scientific Data Processing AutoML-Zero: Evolving Machine Learning Algorithms From Scratch

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:47:07.960188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T02:44:34.551101Z digest=sha256:fede25b48aae0b7ea2efbe4087e55bfae1393af59604dcb8c38dcda16078604a

Observation 1c71f440-f1d4-46b1-8f5c-172495180db8 · inbound

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation cites this paper.

LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation AutoML-Zero: Evolving Machine Learning Algorithms From Scratch

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-07-11T03:27:45.326886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-11T03:26:40.346199Z digest=sha256:3875c813a7af8e6fa1f6172461b843b6d6c08ddf7988d2e64e6dee9b160d2b11

Observation be3318a7-58a8-4db8-8acc-0fde9b82fef7 · inbound

Searching the Space of Feed-Forward Neural-Network Weight-Update Rules with Fixed Depth Symbolic Regression cites this paper.

Searching the Space of Feed-Forward Neural-Network Weight-Update Rules with Fixed Depth Symbolic Regression AutoML-Zero: Evolving Machine Learning Algorithms From Scratch

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T06:30:02.188125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:30:02.188125Z digest=sha256:c4c446479121cd91b6fd243dd63894583dce7446c399bc0caf7dd334fa672175