Paper Citation Record · LEDGER

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis

As of 23 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2411.09422.

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

pith.paper-citation-record.v1
2411.09422 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:45:44.780331Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T17:01:41.339487Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T07:41:01.255594Z

Reference resolution

36 of 36 outbound references displayed

verified exact3
verified fuzzy24
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c89a0717-4e32-4583-ae15-76e2c0adec37 · outbound

This paper cites Machine Learning for Electronic Design Automation: A Survey.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis Machine Learning for Electronic Design Automation: A Survey

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-12T20:45:45.358645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5ac3aa79-bf16-45d5-835c-c9b7780d5460 · outbound

This paper cites Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-12T20:45:45.311565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation eb0e03f6-6347-4d1c-8d6b-fa5a429d15f1 · outbound

This paper cites Deep Learning for Logic Optimiza- tion Algorithms,.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis Deep Learning for Logic Optimiza- tion Algorithms,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:45:46.256393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a68564a0-267a-42ce-b888-dec7d6676dde · outbound

This paper cites LSOracle: a Logic Synthesis Framework Driven by Artificial Intelligence: Invited Paper,.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis LSOracle: a Logic Synthesis Framework Driven by Artificial Intelligence: Invited Paper,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:45:46.228647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 092e0952-118b-4528-b2c9-8d0e9c04f466 · outbound

This paper cites AISYN: AI-driven Reinforcement Learning-Based Logic Synthesis Framework.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis AISYN: AI-driven Reinforcement Learning-Based Logic Synthesis Framework

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T20:45:44.462214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38ffa814-29bb-40e5-bcfd-b2af83624213 · outbound

This paper cites Adaptive Reconvergence-driven AIG Rewrit- ing via Strategy Learning,.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis Adaptive Reconvergence-driven AIG Rewrit- ing via Strategy Learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:45:46.198649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ba3acf41-a86b-4e0b-9730-7ca5f250dcf6 · outbound

This paper cites SLAP: A Supervised Learn- ing Approach for Priority Cuts Technology Mapping,.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis SLAP: A Supervised Learn- ing Approach for Priority Cuts Technology Mapping,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:45:46.159205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cba88b41-617a-4e38-acc8-0e182edea55c · outbound

This paper cites AiMap: Learning to Improve Technology Map- ping for ASICs via Delay Prediction,.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis AiMap: Learning to Improve Technology Map- ping for ASICs via Delay Prediction,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:45:46.127877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 58a49c6b-0c96-43e7-8a91-23b7882a4702 · outbound

This paper cites EasyMap: Improving Technology Mapping via Exploration-Enhanced Heuristics and Adaptive Sequencing,.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis EasyMap: Improving Technology Mapping via Exploration-Enhanced Heuristics and Adaptive Sequencing,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:45:46.092407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation badc15ab-3f1c-44f3-bfa5-ad7bdf572832 · outbound

This paper cites GNN-RE: Graph Neural Networks for Reverse Engineering of Gate-Level Netlists,.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis GNN-RE: Graph Neural Networks for Reverse Engineering of Gate-Level Netlists,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:45:46.063195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e0959a7b-0287-4ef2-b396-7707d24cae5a · outbound

This paper cites Gamora: Graph Learning based Symbolic Reasoning for Large-Scale Boolean Networks.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis Gamora: Graph Learning based Symbolic Reasoning for Large-Scale Boolean Networks

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-12T20:45:45.214013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2689bf7e-609e-4b62-85aa-91e59162ffee · outbound

This paper cites A neutral netlist of 10 combinational benchmark circuits and a targeted translator in FORTRAN,.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis A neutral netlist of 10 combinational benchmark circuits and a targeted translator in FORTRAN,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:45:46.015588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5a560337-2aec-4e7f-99e6-442d863dec06 · outbound

This paper cites Combinational profiles of sequential benchmark circuits,.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis Combinational profiles of sequential benchmark circuits,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:45:45.980405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 789dfb77-f861-4226-807d-5265585f963b · outbound

This paper cites Logic Synthesis and Optimization Benchmarks User Guide Version 3.0,.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis Logic Synthesis and Optimization Benchmarks User Guide Version 3.0,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:45:45.933057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6fe6be0d-6ad4-4ad5-bebb-286c1246bb95 · outbound

This paper cites IWLS’93 Benchmark Set: Version 4.0,.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis IWLS’93 Benchmark Set: Version 4.0,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:45:45.894794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2201d10c-b705-4c3f-87cb-868b28ffc881 · outbound

This paper cites IWLS 2005 benchmarks,.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis IWLS 2005 benchmarks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:45:45.853073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e47e78db-0fad-4bca-996c-bf0cf2b332ff · outbound

This paper cites The EPFL combina- tional benchmark suite,.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis The EPFL combina- tional benchmark suite,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:45:45.828930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cec5e11a-e4eb-4443-8c0c-9daf8dd24176 · outbound

This paper cites an unresolved cited work.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-12T20:45:45.796068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f35fe2fc-5ee6-46b4-b8b7-7752da74bcb8 · outbound

This paper cites OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit Synthesis.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit Synthesis

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T20:45:44.603286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da428290-32c7-4b12-bb8b-efa51dbbd47b · outbound

This paper cites DeepGate: learning neural representations of logic gates,.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis DeepGate: learning neural representations of logic gates,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:45:45.754965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 652d2716-a605-48a8-9c05-c64d6d68b903 · outbound

This paper cites Building OpenLANE: A 130nm OpenROAD-based Tapeout- Proven Flow : Invited Paper,.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis Building OpenLANE: A 130nm OpenROAD-based Tapeout- Proven Flow : Invited Paper,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:45:45.723165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cc46d698-5cea-460a-a18d-9c052550a9ed · outbound

This paper cites Toward an Open-Source Digital Flow: First Learnings from the OpenROAD Project,.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis Toward an Open-Source Digital Flow: First Learnings from the OpenROAD Project,

Reference 22

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T20:45:45.141619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 17e33a7f-e3a0-43db-84d2-bcd534497c0f · outbound

This paper cites Simplification of non-deterministic multi-valued networks,.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis Simplification of non-deterministic multi-valued networks,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:45:45.690613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0364fe62-5e67-4b21-b149-040cb2890ee1 · outbound

This paper cites ImageNet: A large-scale hierarchical image database,.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis ImageNet: A large-scale hierarchical image database,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:45:45.658377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5fe0a0cd-3c89-4d20-9a72-ab46d411dfb3 · outbound

This paper cites LogicFactory: An Open-source Logic Synthesis Platform for Integrated Cross-tool Flow,.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis LogicFactory: An Open-source Logic Synthesis Platform for Integrated Cross-tool Flow,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:45:45.631038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9e96bd3a-9662-460a-892b-2adead396a6c · outbound

This paper cites Yosys Open SYnthesis Suite,.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis Yosys Open SYnthesis Suite,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T20:45:44.667573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e25cf8ea-cc7c-4277-949d-087d84b6a35b · outbound

This paper cites ABC: An Academic Industrial-Strength Verification Tool,.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis ABC: An Academic Industrial-Strength Verification Tool,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:45:45.584305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c41dc4ed-abf6-4bbd-ad85-fac618772010 · outbound

This paper cites The EPFL Logic Synthesis Libraries.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis The EPFL Logic Synthesis Libraries

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T20:45:44.689246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd8c8e24-2e18-45b3-bb05-157a98e6704e · outbound

This paper cites BOiLS: Bayesian Optimisation for Logic Synthesis,.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis BOiLS: Bayesian Optimisation for Logic Synthesis,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:45:45.553243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dec3ceb6-ae7d-4080-9a84-906136f1505c · outbound

This paper cites DRiLLS: Deep Reinforcement Learning for Logic Synthesis,.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis DRiLLS: Deep Reinforcement Learning for Logic Synthesis,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:45:45.508031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d5c0b870-a61b-419c-bbf6-14bc51ff0bed · outbound

This paper cites SkyWater SKY130 PDK,.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis SkyWater SKY130 PDK,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:45:45.467336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4b5bb342-f16c-47ae-93ce-001db062b9b5 · outbound

This paper cites iEDA: An Open-Source Intelligent Physical Implementation Toolkit and Library.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis iEDA: An Open-Source Intelligent Physical Implementation Toolkit and Library

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T20:45:44.731894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52700b39-f51f-493c-8f62-a3c45031d290 · outbound

This paper cites Fast Graph Representation Learning with PyTorch Geometric.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis Fast Graph Representation Learning with PyTorch Geometric

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T20:45:44.745406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05706463-a515-45fc-bdc7-61fa2b6adb1e · outbound

This paper cites Exploring Network Structure, Dynamics, and Function using NetworkX,.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis Exploring Network Structure, Dynamics, and Function using NetworkX,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:45:45.432295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8e640bc6-8d14-40d0-a521-9c95c545ddaa · outbound

This paper cites graph2vec: Learning Distributed Representations of Graphs.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis graph2vec: Learning Distributed Representations of Graphs

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T20:45:44.766505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac1b4522-024c-492b-abf8-b4176d25143e · outbound

This paper cites Zstandard: A fast lossless compression algorithm,.

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis Zstandard: A fast lossless compression algorithm,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:45:45.401217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation b8f577fb-0608-4e15-b226-0804c3812e78 · 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 OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:41:01.261378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.