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Paper Citation Record · LEDGER

ForgeEDA: A Comprehensive Multimodal Dataset for Advancing EDA

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2505.02016.

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

pith.paper-citation-record.v1
2505.02016 v1

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 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:59:38.461472Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T18:46:26.497020Z

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 55f581bd-2a6b-481f-a414-a989e9791c73 · inbound

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning cites this paper.

DeepCell: Self-Supervised Multiview Fusion for Circuit Representation Learning ForgeEDA: A Comprehensive Multimodal Dataset for Advancing EDA

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-09T10:59:38.461472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:59:38.461472Z digest=sha256:c6b9191cac3d0ccbe984ea5de994ccc9c32cd706fc69ae7b17d4f672431c6f09

Observation 28905636-330d-4857-9ce4-0d86acb20241 · inbound

R2G: A Multi-View Circuit Graph Benchmark Suite from RTL to GDSII cites this paper.

R2G: A Multi-View Circuit Graph Benchmark Suite from RTL to GDSII ForgeEDA: A Comprehensive Multimodal Dataset for Advancing EDA

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:41:01.254320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T17:01:41.339487Z digest=sha256:ebeb4ffc15f0cbcb43bf7e4c3a0cadf28825892808fb68580374326d6de207f3

Observation 3e4e2fd1-43ad-4478-a18e-d088f6b7fa67 · inbound

CapBench: A Multi-PDK Dataset for Machine-Learning-Based Post-Layout Capacitance Extraction cites this paper.

CapBench: A Multi-PDK Dataset for Machine-Learning-Based Post-Layout Capacitance Extraction ForgeEDA: A Comprehensive Multimodal Dataset for Advancing EDA

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:01:00.078480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T16:19:16.751139Z digest=sha256:fc20ba83f8f1cad5559309cd7e21766d5f775b90fbb61d184b6aabcd0458a681

Observation 2c0d21dc-c25c-491f-bf4b-782db5a63750 · inbound

RTL-BenchLS: A Large-Scale Benchmark for RTL Reasoning and Generation with Large Language Models cites this paper.

RTL-BenchLS: A Large-Scale Benchmark for RTL Reasoning and Generation with Large Language Models ForgeEDA: A Comprehensive Multimodal Dataset for Advancing EDA

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:47:30.485175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T17:01:24.292776Z digest=sha256:a9d1697c335bee992245f5ab525cabf70bd378354a24e8ba12e191ab3587dce6

Observation 064f91f9-b11e-47c6-9406-c4927661b6ff · inbound

Miter-Aware LUT Mapping: Aligning Structure and Solvability for Efficient Logic Equivalence Checking cites this paper.

Miter-Aware LUT Mapping: Aligning Structure and Solvability for Efficient Logic Equivalence Checking ForgeEDA: A Comprehensive Multimodal Dataset for Advancing EDA

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-07-09T18:46:26.498954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-09T18:43:56.800134Z digest=sha256:f82c3ca8b5342d14fbb2af5262c21e1979c0b6bdb7cb79570b36a6e8a6622054