Pith. sign in

Paper Citation Record · LEDGER

INSIGHT: Universal Neural Simulator for Analog Circuits Harnessing Autoregressive Transformers

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.07346.

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

pith.paper-citation-record.v1
2407.07346 v3

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 2026-08-07T23:14:10.286457Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:46:59.003230Z

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 febf4c8f-fb07-4a98-8a36-0c535e1be032 · inbound

DICE: Device-level Integrated Circuits Encoder with Graph Contrastive Pretraining cites this paper.

DICE: Device-level Integrated Circuits Encoder with Graph Contrastive Pretraining INSIGHT: Universal Neural Simulator for Analog Circuits Harnessing Autoregressive Transformers

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T23:14:10.286457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:14:10.286457Z digest=sha256:8eb36cc63fb9fcd58e93dc45adbc4f8efc1a74c7e925f03073c0e6623cf21028

Observation 58637bff-3ec8-4cd3-83ff-9f25861178d5 · inbound

AnalogFed: Privacy-Preserving Discovery of Analog Circuits at Scale with Federated Generative AI cites this paper.

AnalogFed: Privacy-Preserving Discovery of Analog Circuits at Scale with Federated Generative AI INSIGHT: Universal Neural Simulator for Analog Circuits Harnessing Autoregressive Transformers

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:46:59.038004Z

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=2026-08-06T15:46:52.406691Z digest=sha256:3024d918918f50397f2ae409d6cff1c863368a990630a392d64f8be019bcb704