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Paper Citation Record · LEDGER

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning

As of 14 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2512.03594.

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

pith.paper-citation-record.v1
2512.03594 v2

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measured 30 of 30 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-03T18:47:48.077033Z

measured 30 of 30 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

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30 of 30 outbound references displayed

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Outbound references

Observation 7db5f7c9-4f6f-45e0-8b2b-0752742dd582 · outbound

This paper cites An algorithm for path connections and its applications,.

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning An algorithm for path connections and its applications,

Reference 1

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Observation b78ba77f-5808-4e5e-9377-f70611c43ec9 · outbound

This paper cites An interactive maze router with hints,.

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning An interactive maze router with hints,

Reference 2

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Observation 5a92f7fb-11ec-4ce9-b0ea-950fca11a1ae · outbound

This paper cites A solution to line-routing problems on the continuous plane,.

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning A solution to line-routing problems on the continuous plane,

Reference 3

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Observation 8b367004-2335-4471-b7e5-d9b903e3114f · outbound

This paper cites Detailed routing by sparse grid graph and minimum-area-captured path search,.

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning Detailed routing by sparse grid graph and minimum-area-captured path search,

Reference 4

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Observation c192c183-de62-4502-aed3-fc4541fa2273 · outbound

This paper cites OpenROAD: Toward a Self-Driving, Open-Source Digital Layout Implementation Tool Chain,.

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning OpenROAD: Toward a Self-Driving, Open-Source Digital Layout Implementation Tool Chain,

Reference 5

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Observation b815462c-3165-467d-a899-9039d7e6d3e9 · outbound

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

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning INVITED: Toward an Open- Source Digital Flow: First Learnings from the OpenROAD Project,

Reference 6

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Observation d34a413b-7882-45b5-b811-1c5ece2f53d2 · outbound

This paper cites Provably efficient offline reinforcement learning with perturbed data sources,.

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning Provably efficient offline reinforcement learning with perturbed data sources,

Reference 7

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Observation afe93ef0-4add-4915-ba80-cff9a034aef1 · outbound

This paper cites Robust deep reinforcement learning with adaptive adversarial perturbations in action space,.

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning Robust deep reinforcement learning with adaptive adversarial perturbations in action space,

Reference 8

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Observation dd7172f0-d279-4ca8-a304-6649e894d0d3 · outbound

This paper cites Conservative q-learning for offline reinforcement learning,.

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning Conservative q-learning for offline reinforcement learning,

Reference 9

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Observation aa7b796e-d1ec-4e10-bf50-72d298138cab · outbound

This paper cites Bidirectional heuristic search reconsidered,.

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning Bidirectional heuristic search reconsidered,

Reference 10

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Observation e14c4f79-f0b3-42c5-816d-304c6c210c0f · outbound

This paper cites Evaluation of beol design rule impacts using an optimal ilp-based detailed router,.

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning Evaluation of beol design rule impacts using an optimal ilp-based detailed router,

Reference 11

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Observation 170ab79d-c0d6-48fa-8b59-cb9e8d07a05b · outbound

This paper cites Tritonroute: The open-source detailed router,.

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning Tritonroute: The open-source detailed router,

Reference 12

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Observation 3db3e43e-a651-480d-8195-a10894921d25 · outbound

This paper cites Gridless pin access in detailed routing,.

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning Gridless pin access in detailed routing,

Reference 13

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Observation 6e0527da-3755-4e9b-a554-c091362f8351 · outbound

This paper cites Self-aligned double patterning lithography aware detailed routing with color preassignment,.

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning Self-aligned double patterning lithography aware detailed routing with color preassignment,

Reference 14

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Observation b0b565a9-c759-46cf-a67a-6f389278fa97 · outbound

This paper cites Overlay-aware detailed routing for self-aligned double patterning lithography using the cut process,.

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning Overlay-aware detailed routing for self-aligned double patterning lithography using the cut process,

Reference 15

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Observation 199af8c5-d087-497f-9118-2df85842b170 · outbound

This paper cites Detailed routing algorithms for advanced technology nodes,.

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning Detailed routing algorithms for advanced technology nodes,

Reference 16

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Observation 49cc688f-fb25-4a86-b24d-3135442df6c4 · outbound

This paper cites Ispd 2018 initial detailed routing contest and benchmarks,.

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning Ispd 2018 initial detailed routing contest and benchmarks,

Reference 17

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Observation 6e008fbf-2bdc-44c4-a19a-12102d7d1c72 · outbound

This paper cites Ispd 2019 initial detailed routing contest and benchmark with advanced routing rules,.

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning Ispd 2019 initial detailed routing contest and benchmark with advanced routing rules,

Reference 18

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Observation b795702a-733f-46ae-8a4b-401345b822e9 · outbound

This paper cites Tritonroute: An initial detailed router for advanced vlsi technologies,.

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning Tritonroute: An initial detailed router for advanced vlsi technologies,

Reference 19

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Observation b46cc373-4175-4fc9-87d6-46d3cd5ae497 · outbound

This paper cites Explainable drc hotspot prediction with random forest and shap tree explainer,.

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning Explainable drc hotspot prediction with random forest and shap tree explainer,

Reference 20

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Observation 160b0f0d-f532-461c-ad7d-b31fe1018348 · outbound

This paper cites Pin accessibility and routing congestion aware drc hotspot prediction for designs in advanced technology nodes with consolidated practical applicability and sustainability,.

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning Pin accessibility and routing congestion aware drc hotspot prediction for designs in advanced technology nodes with consolidated practical applicability and sustainability,

Reference 21

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Observation 741fdceb-371b-44d0-8cc7-a391280f1089 · outbound

This paper cites Drc hotspot prediction at sub-10nm process nodes using customized convolutional network,.

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning Drc hotspot prediction at sub-10nm process nodes using customized convolutional network,

Reference 22

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Observation 49b3d2ac-5f67-44b9-aaed-908285f48797 · outbound

This paper cites Reinforcement learning guided detailed routing for custom circuits,.

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning Reinforcement learning guided detailed routing for custom circuits,

Reference 23

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Observation e2154852-0522-4858-b916-8496c0986b87 · outbound

This paper cites Enhancing accuracy of deep learning algorithms by training with low-discrepancy sequences,.

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning Enhancing accuracy of deep learning algorithms by training with low-discrepancy sequences,

Reference 24

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Observation c7968de6-e901-4d85-ba4b-6f659fac5a74 · outbound

This paper cites Sampling based on sobol′ sequences for monte carlo techniques applied to building simulations,.

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning Sampling based on sobol′ sequences for monte carlo techniques applied to building simulations,

Reference 25

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Observation 3ae3656e-d78f-42a1-86c4-72f261d169d6 · outbound

This paper cites Bridging Academic Open-Source EDA to Real-World Usability,.

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning Bridging Academic Open-Source EDA to Real-World Usability,

Reference 26

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Observation 50c48864-945b-4333-aa09-896e4faa0adf · outbound

This paper cites Offline reinforcement learning: Tutorial, review, and perspectives on open problems,.

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning Offline reinforcement learning: Tutorial, review, and perspectives on open problems,

Reference 27

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Observation 8a732640-613d-450b-b6f5-5d863cbd75ae · outbound

This paper cites Reinforcement learning: An introduction,.

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning Reinforcement learning: An introduction,

Reference 28

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Observation 94639c8c-c7e7-4a31-bc90-9941a0bc8b41 · outbound

This paper cites d3rlpy: An Offline Deep Reinforcement Learning Library.

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning d3rlpy: An Offline Deep Reinforcement Learning Library

Reference 29

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Observation ff3857be-c107-487d-924d-b1acc5806e36 · outbound

This paper cites Hyperparameter Selection for Offline Reinforcement Learning.

Accelerating Detailed Routing Convergence through Offline Reinforcement Learning Hyperparameter Selection for Offline Reinforcement Learning

Reference 30

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