Pith. sign in

Paper Citation Record · LEDGER

PDNNet: PDN-Aware GNN-CNN Heterogeneous Network for Dynamic IR Drop Prediction

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.18569.

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

pith.paper-citation-record.v1
2403.18569 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:14:10.421172Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:05:58.841975Z

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 2d7ec4ce-6057-4512-bb2c-8b1bf171586a · inbound

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

DICE: Device-level Integrated Circuits Encoder with Graph Contrastive Pretraining PDNNet: PDN-Aware GNN-CNN Heterogeneous Network for Dynamic IR Drop Prediction

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T23:14:10.421172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:14:10.421172Z digest=sha256:d4ac6e737f576ac19bdb7725d19df14e248be2eb8fa397c24bfb8389c618690e

Observation fbd2cdf2-25c5-4d51-8fd2-5c5d585826ca · inbound

GIF: A Conditional Multimodal Generative Framework for IR Drop Imaging in Chip Layouts cites this paper.

GIF: A Conditional Multimodal Generative Framework for IR Drop Imaging in Chip Layouts PDNNet: PDN-Aware GNN-CNN Heterogeneous Network for Dynamic IR Drop Prediction

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:05:58.846702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T16:16:46.230102Z digest=sha256:4e94e770e5c795b671ffef9b3f5f06420d5d90a7fa1a8b89cb2f504d45218463