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Paper Citation Record · LEDGER

Chip Placement with Deep Reinforcement Learning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2004.10746.

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

pith.paper-citation-record.v1
2004.10746 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:05:15.075247Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T01:03:41.425450Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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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 1dcac268-af1b-451a-9e7b-422f81912d24 · inbound

"Noisier" Noise Contrastive Eestimation is (Almost) Maximum Likelihood cites this paper.

"Noisier" Noise Contrastive Eestimation is (Almost) Maximum Likelihood Chip Placement with Deep Reinforcement Learning

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-24T01:03:41.428682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-24T00:59:59.607299Z digest=sha256:1201467eb82d207c543563efd30b41eeba659a05f7815c3f96a0ece3bcac89c5

Observation d5d1d73c-5891-4de7-ac26-42cc9b9b60d4 · inbound

That Chip Has Sailed: A Critique of Unfounded Skepticism Around AI for Chip Design cites this paper.

That Chip Has Sailed: A Critique of Unfounded Skepticism Around AI for Chip Design Chip Placement with Deep Reinforcement Learning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T20:05:15.075247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:05:15.075247Z digest=sha256:e8cf745fe67fc7097cecbd30e353ee974c89f6735cb72e788cb7ec3645651d12

Observation d7a33066-7114-4595-95a8-d5e6ea53ad7a · inbound

RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts cites this paper.

RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts Chip Placement with Deep Reinforcement Learning

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T14:33:13.194082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:33:13.194082Z digest=sha256:3fc6e40eaff2db93ab99b0730843644866233160897e67816622403c518e80e0

Observation 73ced233-e27a-4901-b64f-cffa17ae9010 · inbound

Monte Carlo Tree Search based Space Transfer for Black-box Optimization cites this paper.

Monte Carlo Tree Search based Space Transfer for Black-box Optimization Chip Placement with Deep Reinforcement Learning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T19:09:12.841553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:09:12.841553Z digest=sha256:03383ac0a4bc95d39390d7c479eb49f6f44d9a4078ccaaf14fbab00a7f945ecb

Observation 0c6a089c-8937-42ff-80a7-314447ea7eed · inbound

Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets cites this paper.

Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets Chip Placement with Deep Reinforcement Learning

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T18:35:18.477397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:35:18.477397Z digest=sha256:97a272ecf3a638d87e0875b6d2bbc6e2a0a7122e05188dac72b54f2d4aa39714

Observation 9bef6431-0a68-4bc0-8cab-fe95f743e1c2 · inbound

CLDG: Contrastive Learning on Dynamic Graphs cites this paper.

CLDG: Contrastive Learning on Dynamic Graphs Chip Placement with Deep Reinforcement Learning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T12:16:50.504702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:16:50.504702Z digest=sha256:bb237cf0da50d6ff73f8073ce90c3e1151fe0c03876ca1a10e9868dc132969f7

Observation 71e3f2e7-f958-41fc-827c-003a25d87332 · inbound

Large Processor Chip Model cites this paper.

Large Processor Chip Model Chip Placement with Deep Reinforcement Learning

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:39.817119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:39.817119Z digest=sha256:6cb1c4922f6475ee5a265059c01522d59e9e5ee4d9c46c553d5bd0d30b3f942c

Observation dba7ed5e-983e-491d-88e4-24d92510d9f8 · inbound

QiMeng: Fully Automated Hardware and Software Design for Processor Chip cites this paper.

QiMeng: Fully Automated Hardware and Software Design for Processor Chip Chip Placement with Deep Reinforcement Learning

Reference 110

Resolution
unresolved
no resolver link, observed 2026-08-07T10:34:04.804682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:34:04.804682Z digest=sha256:a89996c62c6b10a9d074e97150872df25890e2d00b5c5e7b649b382b1956c94e

Observation 7835f54b-0261-4e32-a03e-6ee047150aba · inbound

QForce-RL: Quantized FPGA-Optimized Reinforcement Learning Compute Engine cites this paper.

QForce-RL: Quantized FPGA-Optimized Reinforcement Learning Compute Engine Chip Placement with Deep Reinforcement Learning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T05:48:01.599158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:48:01.599158Z digest=sha256:e325d887acdb23d68cbb45d74e3ba898e6407ebc69349f13ed1c2dfcf8a73166

Observation f171e03b-9ea3-47ad-a5fa-3f900e14159d · inbound

Graph Neural Networks for Automatic Addition of Optimizing Components in Printed Circuit Board Schematics cites this paper.

Graph Neural Networks for Automatic Addition of Optimizing Components in Printed Circuit Board Schematics Chip Placement with Deep Reinforcement Learning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T04:27:02.990203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:27:02.990203Z digest=sha256:4889a673ffc75af9c8ef628de87a16e92b268eacbe55c229fda8593b50e72a30

Observation 0fd960a5-e761-4fa3-86d3-32c7d34e10e2 · inbound

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning cites this paper.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning Chip Placement with Deep Reinforcement Learning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:11.586205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:11.586205Z digest=sha256:f2176b88e21bf43bb37c4cc4f8ec4c7e24842c8afc07382bda83d1e97b741bd3

Observation 5e5264fe-2b73-489d-8bcd-ded50bb9aa70 · inbound

From LLM to Silicon: RL-Driven ASIC Architecture Exploration for On-Device AI Inference cites this paper.

From LLM to Silicon: RL-Driven ASIC Architecture Exploration for On-Device AI Inference Chip Placement with Deep Reinforcement Learning

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T07:06:09.555847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T17:18:04.530109Z digest=sha256:d7241ad0efb0eba2a08e7ea472de264b3ca91e387dadc1ae2cf0475d5b45b05a

Observation e9e0b55d-c877-4b58-a68e-320f2906f51e · inbound

MAGE: Human-Like Macro Placement via Agentic Multimodal Reasoning cites this paper.

MAGE: Human-Like Macro Placement via Agentic Multimodal Reasoning Chip Placement with Deep Reinforcement Learning

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-01T15:13:00.857655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:13:00.857655Z digest=sha256:f8c7c41510aefd7103d596fbdd97c37a2c9b209f022d59ec1688589f782122e4