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Paper Citation Record · LEDGER

AutoCkt: Deep Reinforcement Learning of Analog Circuit Designs

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2001.01808.

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

pith.paper-citation-record.v1
2001.01808 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T05:12:20.606750Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T01:36:25.836402Z

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 5e7ab4fd-1fab-4f10-b44c-7db5b5e4f8b3 · inbound

ZOAF: Towards Efficient Zeroth-Order Optimization for Analog/RF Circuit Design cites this paper.

ZOAF: Towards Efficient Zeroth-Order Optimization for Analog/RF Circuit Design AutoCkt: Deep Reinforcement Learning of Analog Circuit Designs

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:36:25.839757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T11:41:13.086000Z digest=sha256:efe675cba3654a240cd8505aa4aff76ef133a175c17248225ad52f0b79c5c173

Observation 1ec0be9f-8999-45a2-9598-220b038fdbf8 · inbound

Towards Reliable AI-Assisted Analog Design: Template-Constrained LLM Agents for SAR ADC Generation cites this paper.

Towards Reliable AI-Assisted Analog Design: Template-Constrained LLM Agents for SAR ADC Generation AutoCkt: Deep Reinforcement Learning of Analog Circuit Designs

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T05:12:20.606750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:12:20.606750Z digest=sha256:66415ff8aad41e45cf029b65abae83534e5a25591e7b1a812a4243adf5ba221e