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Paper Citation Record · LEDGER

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement

As of 8 August 2026, this Paper Citation Record lists 91 of 91 outbound references and 1 inbound Pith citation observation for arXiv:2510.23472.

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

pith.paper-citation-record.v1
2510.23472 v2

Coverage vector

measured 91 of 91 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:53:41.372862Z

measured 92 of 92 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T17:12:42.480513Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:27:29.775030Z

Reference resolution

91 of 91 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

Observation 75a9fe78-d852-4454-98a0-034f38943ab2 · outbound

This paper cites AutoDMP: Automated DREAMPlace-based macro placement,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement AutoDMP: Automated DREAMPlace-based macro placement,

Reference 1

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Observation 7735de61-8067-490f-bd73-12e8c72aeba2 · outbound

This paper cites Toward an open-source digital flow: First learnings from the OpenROAD project,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Toward an open-source digital flow: First learnings from the OpenROAD project,

Reference 2

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Observation 6597b814-6b05-43dc-bbca-b3e60f7258e7 · outbound

This paper cites Net-based force-directed macrocell place- ment for wirelength optimization,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Net-based force-directed macrocell place- ment for wirelength optimization,

Reference 3

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Observation 55afb041-3c1e-401a-9de8-d2efa850568a · outbound

This paper cites HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenML.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenML

Reference 4

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Observation 5770a2ae-0bd0-4336-b13f-766077680808 · outbound

This paper cites Audet and W.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Audet and W

Reference 5

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source=pdf_text observed=2026-08-04T07:53:32.992100Z digest=sha256:984c1fe8999ee15f1ee829ff3576489652b7e4d02d11e8eb94dabc17b85ce5aa

Observation 80ce56b4-1400-450e-86e2-4f44fe4e1fb4 · outbound

This paper cites B ¨ack,Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement B ¨ack,Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms

Reference 6

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Observation 4d8c1dab-4378-496e-a769-f9d6da6735a8 · outbound

This paper cites BoTorch: A framework for efficient Monte-Carlo Bayesian optimization,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement BoTorch: A framework for efficient Monte-Carlo Bayesian optimization,

Reference 7

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Observation 77879bc7-d21e-4325-8a40-88b239996461 · outbound

This paper cites A survey on high-dimensional Gaussian process modeling with application to Bayesian optimization,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement A survey on high-dimensional Gaussian process modeling with application to Bayesian optimization,

Reference 8

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Observation 1f188d33-43b6-454d-86ce-f479e05ad066 · outbound

This paper cites On wirelength estimations for row-based placement,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement On wirelength estimations for row-based placement,

Reference 9

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Observation 66d2d757-33f4-4344-a498-4027c24cde10 · outbound

This paper cites CircuitNet: An open-source dataset for machine learning in VLSI CAD applica- tions with improved domain-specific evaluation metric and learning strategies,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement CircuitNet: An open-source dataset for machine learning in VLSI CAD applica- tions with improved domain-specific evaluation metric and learning strategies,

Reference 10

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source=pdf_text observed=2026-08-04T07:53:33.376636Z digest=sha256:dd25517a4e362c7e6ee65c52bb1e13ee9eeca2f02cb80a35b6b1279cc0168532

Observation 8c1c74b7-fdc7-4e39-8673-60c2a06e6940 · outbound

This paper cites Flexible Multiple-Objective Reinforcement Learning for Chip Placement.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Flexible Multiple-Objective Reinforcement Learning for Chip Placement

Reference 11

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source=pdf_text observed=2026-08-04T07:53:33.429282Z digest=sha256:fe2040adfa359934ddcb4e7d300e2b23bfaba1276d83a314f9daf5e1ed3ac891

Observation b93bd210-2833-4c1c-9f30-7b51e0644dd6 · outbound

This paper cites Essential issues in analytical place- ment algorithms,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Essential issues in analytical place- ment algorithms,

Reference 12

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source=pdf_text observed=2026-08-04T07:53:33.489668Z digest=sha256:17f8e8ecdcfd2e14af3b4c2dfb4fadf76716f5a7539a2694d96983efb7cb5825

Observation b445023e-1f94-4e6e-a05b-dca7747f5918 · outbound

This paper cites B*-trees: A new representation for non-slicing floorplans,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement B*-trees: A new representation for non-slicing floorplans,

Reference 13

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source=pdf_text observed=2026-08-04T07:53:33.558778Z digest=sha256:3fb2c6e93fbfc01337b3d63788c73e9075964aabffbdaba8584b072988342fee

Observation c7758ca9-0eef-49a1-b159-e3a58778924f · outbound

This paper cites NTUplace3: An analytical placer for large-scale mixed-size designs with preplaced blocks and density constraints,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement NTUplace3: An analytical placer for large-scale mixed-size designs with preplaced blocks and density constraints,

Reference 14

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source=pdf_text observed=2026-08-04T07:53:33.603301Z digest=sha256:467c4c44e10dfbf94b38e956a3d57068fa18c3cb374994e3879288cd9c8287f6

Observation b57fecbc-da41-4878-abe2-565fb87c956b · outbound

This paper cites RePlAce: Advancing solution quality and routability validation in global placement,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement RePlAce: Advancing solution quality and routability validation in global placement,

Reference 15

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Observation 64f9e8ec-3327-4b12-b0f2-c17c34fe3ffa · outbound

This paper cites The policy-gradient placement and generative routing neural networks for chip design,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement The policy-gradient placement and generative routing neural networks for chip design,

Reference 16

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Observation 9a688521-334e-41a2-ad3e-6364ec72d19f · outbound

This paper cites On joint learning for solving placement and routing in chip design,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement On joint learning for solving placement and routing in chip design,

Reference 17

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Observation d724ea84-f2df-419e-8693-874d8a369b0e · outbound

This paper cites Deb,Multi-Objective Optimization Using Evolutionary Algorithms.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Deb,Multi-Objective Optimization Using Evolutionary Algorithms

Reference 18

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Observation 4f1baae9-eb8f-4c35-b557-6eb89d61c17d · outbound

This paper cites PyPop7: A pure-Python li- brary for population-based black-box optimization,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement PyPop7: A pure-Python li- brary for population-based black-box optimization,

Reference 19

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Observation 333e9c6f-f56b-41de-81c3-4e9a6d13a6c3 · outbound

This paper cites High-dimensional bayesian optimiza- tion with sparse axis-aligned subspaces,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement High-dimensional bayesian optimiza- tion with sparse axis-aligned subspaces,

Reference 20

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Observation 0461388b-1cf3-4709-bd8b-7dc5fe1650b9 · outbound

This paper cites Scalable global optimization via local Bayesian optimization,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Scalable global optimization via local Bayesian optimization,

Reference 21

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Observation bc846558-ea82-45bc-8e57-96c313b1390f · outbound

This paper cites A Tutorial on Bayesian Optimization.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement A Tutorial on Bayesian Optimization

Reference 22

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Observation c0a3f6be-026f-4700-b4d1-42a56114d09e · outbound

This paper cites Garnett,Bayesian Optimization.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Garnett,Bayesian Optimization

Reference 23

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Observation 799a1110-a80a-431e-b210-e90657ab6ac7 · outbound

This paper cites LaMPlace: Learning to optimize cross-stage metrics in macro placement,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement LaMPlace: Learning to optimize cross-stage metrics in macro placement,

Reference 24

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Observation fbed0e37-d602-477f-87b9-25761c0ba8bd · outbound

This paper cites Reinforcement learning within tree search for fast macro placement,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Reinforcement learning within tree search for fast macro placement,

Reference 25

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Observation 7f8559b9-e2a4-45e7-a879-6e09c93ade3e · outbound

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

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement That Chip Has Sailed: A Critique of Unfounded Skepticism Around AI for Chip Design

Reference 26

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source=pdf_text observed=2026-08-04T07:53:34.465294Z digest=sha256:6d9cc831e4303906829f0c2811e5c56099329704407ea6789869447638112428

Observation b12a145e-a9cb-477b-afca-78dcaeab4b4a · outbound

This paper cites Addendum: A graph placement methodology for fast chip design,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Addendum: A graph placement methodology for fast chip design,

Reference 27

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Observation 4732562f-b691-439e-adfd-25daa742c7a2 · outbound

This paper cites Genetic learning particle swarm optimization,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Genetic learning particle swarm optimization,

Reference 28

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source=pdf_text observed=2026-08-04T07:53:34.600319Z digest=sha256:82b8919354417a8e6e3f911a33d386e6c991ba3170f2c4c726c56dadcf5d6d64

Observation 562b162b-e8f0-4bb3-b681-89d56d54d505 · outbound

This paper cites DREAMPlace 3.0: Multi- electrostatics based robust VLSI placement with region constraints,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement DREAMPlace 3.0: Multi- electrostatics based robust VLSI placement with region constraints,

Reference 29

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source=pdf_text observed=2026-08-04T07:53:34.663100Z digest=sha256:59977fb74285d1e0193c9b82e9855ae485a1ec4df108e0bbb73c8e59918ab142

Observation d4ac9d19-7dc5-48c5-b1a8-7707fda7b388 · outbound

This paper cites Con- figX: Modular configuration for evolutionary algorithms via multitask IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, VOL. XX, NO. X, 2025 16 reinforcement learning,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Con- figX: Modular configuration for evolutionary algorithms via multitask IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, VOL. XX, NO. X, 2025 16 reinforcement learning,

Reference 30

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Observation b76aa18c-4a3d-486b-8dbf-cd34b007023e · outbound

This paper cites The CMA Evolution Strategy: A Tutorial.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement The CMA Evolution Strategy: A Tutorial

Reference 31

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Observation 74c86f03-001b-45f1-ad58-91d54a1f0d7d · outbound

This paper cites Evolution strategies,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Evolution strategies,

Reference 32

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Observation e7d889de-5f37-4e85-a626-344ae9efc390 · outbound

This paper cites Ripple: A robust and effective routability-driven placer,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Ripple: A robust and effective routability-driven placer,

Reference 33

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Observation 0e5329f7-d8cf-4d3f-836b-0d0865309caa · outbound

This paper cites Corner block list: An effective and efficient topological representation of non-slicing floorplan,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Corner block list: An effective and efficient topological representation of non-slicing floorplan,

Reference 34

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Observation 4b304e44-8c86-4937-b951-0af4cbbdd718 · outbound

This paper cites Data-driven evolutionary optimization: An overview and case studies,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Data-driven evolutionary optimization: An overview and case studies,

Reference 35

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Observation 72138d85-f0cc-4317-842d-0e2db05ed6ac · outbound

This paper cites Efficient global optimiza- tion of expensive black-box functions,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Efficient global optimiza- tion of expensive black-box functions,

Reference 36

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Observation a82aaa5c-8d6d-41e0-9902-60762dba5e0b · outbound

This paper cites A tale of two nets: Studies of wirelength progression in physical design,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement A tale of two nets: Studies of wirelength progression in physical design,

Reference 37

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source=pdf_text observed=2026-08-04T07:53:35.252586Z digest=sha256:dcbfbe3ac36f2c2068350e39ed70d096a46146938b023418657b5e5508d21d6d

Observation 4d6db92d-fe78-4327-a793-288c85c47714 · outbound

This paper cites Particle swarm optimization,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Particle swarm optimization,

Reference 38

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source=pdf_text observed=2026-08-04T07:53:35.325952Z digest=sha256:60ef378256005f67397ec8b883dcc310f315a925aa4d4c91d2c2effa4a281b26

Observation a2cf2a71-802f-45f1-86ca-94224aa35ecf · outbound

This paper cites ICCAD-2015 CAD contest in incremental timing-driven placement and benchmark suite,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement ICCAD-2015 CAD contest in incremental timing-driven placement and benchmark suite,

Reference 39

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source=pdf_text observed=2026-08-04T07:53:35.368025Z digest=sha256:4b5726566bbb1338dff158a616b53d92260963e8e433e17db55784e2b3fffbce

Observation a2f7363a-d6f6-4d66-ad56-b6d7c00364e3 · outbound

This paper cites A new method of locating the maximum point of an arbitrary multipeak curve in the presence of noise,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement A new method of locating the maximum point of an arbitrary multipeak curve in the presence of noise,

Reference 40

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source=pdf_text observed=2026-08-04T07:53:35.451314Z digest=sha256:116d81e52987c042b2765d4ddf8ae073e117586c832195555ce6c262a9618275

Observation c7175c24-cccf-400a-a7de-7f13874f54c0 · outbound

This paper cites ChiPFormer: Transferable chip placement via offline decision transformer,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement ChiPFormer: Transferable chip placement via offline decision transformer,

Reference 41

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source=pdf_text observed=2026-08-04T07:53:35.565675Z digest=sha256:4cef2cbb913d33bd0c6f1316b08e19dd216dee63002aecfd498cfe06385dbfb3

Observation 6965871f-3009-4704-b0ef-187924154bd0 · outbound

This paper cites MaskPlace: Fast chip placement via reinforced visual representation learning,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement MaskPlace: Fast chip placement via reinforced visual representation learning,

Reference 42

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source=pdf_text observed=2026-08-04T07:53:35.645603Z digest=sha256:1db2127d1ed508185e9355ffed92e55dbd295406adafd375dbe79eb337ea3de5

Observation c81cee8e-69c4-4e57-9228-e6d207052d7d · outbound

This paper cites iEDA: An open-source infrastructure of EDA,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement iEDA: An open-source infrastructure of EDA,

Reference 43

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source=pdf_text observed=2026-08-04T07:53:35.722902Z digest=sha256:6aa72a35b5f5194192af90832e6dc0ceb064420741e48059317ce93bdf6b3ece

Observation 3e99aae9-1120-4582-ac44-1024eff7a72a · outbound

This paper cites DREAMPlace 4.0: Timing-driven placement with momentum-based net weighting and Lagrangian-based refinement,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement DREAMPlace 4.0: Timing-driven placement with momentum-based net weighting and Lagrangian-based refinement,

Reference 44

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source=pdf_text observed=2026-08-04T07:53:35.795960Z digest=sha256:780b5029b46803cec21e29e838d1a161eb0e6b97f6295e820957a01ba621edb0

Observation a619fb45-0673-455d-8776-e8bfaa05ce05 · outbound

This paper cites POLAR 3.0: An ultrafast global placement engine,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement POLAR 3.0: An ultrafast global placement engine,

Reference 45

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source=pdf_text observed=2026-08-04T07:53:35.839166Z digest=sha256:424cc7ed9b0f9182a38065137c5e01d4abb7494118dda0362e2f0f5b77c1ed1c

Observation b5ad4497-770d-4865-97f7-40506fca924c · outbound

This paper cites DREAMPlace: Deep learning toolkit-enabled GPU acceleration for modern VLSI placement,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement DREAMPlace: Deep learning toolkit-enabled GPU acceleration for modern VLSI placement,

Reference 46

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source=pdf_text observed=2026-08-04T07:53:35.932689Z digest=sha256:9e7ca2e67235f273311fcc5f5d4ffdcf69e7071390c82fa5fb7848c493b0c10a

Observation 199d6a3b-8430-49cb-921c-e23b3fcb8ac1 · outbound

This paper cites Evolution of heuristics: Towards efficient automatic algorithm design using large language model,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Evolution of heuristics: Towards efficient automatic algorithm design using large language model,

Reference 47

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source=pdf_text observed=2026-08-04T07:53:36.004348Z digest=sha256:0ae9dcea1db629599108b8beac1547461766580dd3fe7ff24191db1b21b2d8d4

Observation 9efa5dd4-98b8-4977-8c36-bfc0a8219882 · outbound

This paper cites A systematic survey on large language models for algorithm design,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement A systematic survey on large language models for algorithm design,

Reference 48

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source=pdf_text observed=2026-08-04T07:53:36.079935Z digest=sha256:3948816596773b1e0f8ad4ebe683a9b040da3a317e8ea0cff6b9e522bcfc4d97

Observation 3fecfead-8322-494f-9c5d-cd261efd0872 · outbound

This paper cites Xplace: An extremely fast and extensible placement framework,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Xplace: An extremely fast and extensible placement framework,

Reference 49

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source=pdf_text observed=2026-08-04T07:53:36.140467Z digest=sha256:64627643057904d7fad2013086cd382d77e16038920b410c173f6ce1504fde39

Observation 51e94795-55e5-4fb2-8817-7adfa3899352 · outbound

This paper cites ePlace: Electrostatics-based placement using fast Fourier transform and Nesterov’s method,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement ePlace: Electrostatics-based placement using fast Fourier transform and Nesterov’s method,

Reference 50

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source=pdf_text observed=2026-08-04T07:53:36.239136Z digest=sha256:386cf8fc16d581ac0e66a6269836e39ba54a914ef795949fff8fa9bf04240331

Observation d100ba07-1d01-45e9-8ae8-d829fe43db9a · outbound

This paper cites Neural exploratory landscape analysis for meta-black-box-optimization,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Neural exploratory landscape analysis for meta-black-box-optimization,

Reference 51

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source=pdf_text observed=2026-08-04T07:53:36.318895Z digest=sha256:1c5e1f5e29b6e16e177788f3b3acdb9225a8dcf630b4695c5bbf8735b1061c13

Observation c5e28cb0-a355-4ed6-a45a-8763b64d1ac1 · outbound

This paper cites MetaBox: A benchmark platform for meta-black-box optimization with reinforcement learning,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement MetaBox: A benchmark platform for meta-black-box optimization with reinforcement learning,

Reference 52

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source=pdf_text observed=2026-08-04T07:53:36.415542Z digest=sha256:5a41bc022fd601c8a87e5017154090174a4e69129655862b0fec02f4d9e4e677

Observation b40451a3-9778-4123-9f83-b76e8c1dcc52 · outbound

This paper cites Toward automated algorithm design: A survey and practical guide to meta-black-box- optimization,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Toward automated algorithm design: A survey and practical guide to meta-black-box- optimization,

Reference 53

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source=pdf_text observed=2026-08-04T07:53:36.540545Z digest=sha256:0c793a582a3ebc573c19b7508c38fb0436cd4d5e15bb0f769406faf21587f9e4

Observation 6aca8f60-c1fd-44da-a55c-45dec8fc264b · outbound

This paper cites An industrial view of electronic design automation,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement An industrial view of electronic design automation,

Reference 54

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source=pdf_text observed=2026-08-04T07:53:36.593206Z digest=sha256:55de3263ea2b05fed0a3c10b105e1f5bd32b5445a354a96a043552aa68dfb4c5

Observation f08d423f-80c6-46ca-87e5-a1838cf90b6d · outbound

This paper cites Progress and challenges in VLSI placement research,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Progress and challenges in VLSI placement research,

Reference 55

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source=pdf_text observed=2026-08-04T07:53:36.678284Z digest=sha256:c202fa38b73e40bba2e295b37d6f68b9ee8a99f0a0492d9fb38950f07e521051

Observation a66a0c08-dc27-47ff-971f-82e60ae46d3f · outbound

This paper cites Exploratory landscape analysis,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Exploratory landscape analysis,

Reference 56

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source=pdf_text observed=2026-08-04T07:53:36.819506Z digest=sha256:57e6ce50abbbbc446ac2f0ae4ea9911bc67581b7cf9a9f232049fb5b98a50d1a

Observation a488309a-fdd6-4b80-bef2-3780717b48d0 · outbound

This paper cites A graph placement methodology for fast chip design,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement A graph placement methodology for fast chip design,

Reference 57

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source=pdf_text observed=2026-08-04T07:53:36.871323Z digest=sha256:1d9ba6dd346093a21bd2e7c594cc37f353bc657275aa7577a53617aa1e3b2377

Observation 1c073f13-44b1-4e66-9ce9-8359bca479f8 · outbound

This paper cites VLSI module placement based on rectangle-packing by the sequence-pair,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement VLSI module placement based on rectangle-packing by the sequence-pair,

Reference 58

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source=pdf_text observed=2026-08-04T07:53:37.030481Z digest=sha256:c5fbec7003317b9eb598bfafb2092e026d42c80e3ccc88c79b027e738d1b8e91

Observation 9167d36b-127d-4ec8-a968-b3b9678b489f · outbound

This paper cites The ISPD 2005 placement contest and benchmark suite,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement The ISPD 2005 placement contest and benchmark suite,

Reference 59

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source=pdf_text observed=2026-08-04T07:53:37.149737Z digest=sha256:a305ff01da5f0fa91f18836befe70280a8e123e983ad1ad9c09e280a87f0334d

Observation 23b77cfa-d816-4d89-8d66-58d51f37afc7 · outbound

This paper cites Bayesian Optimization for Macro Placement.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Bayesian Optimization for Macro Placement

Reference 60

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source=pdf_text observed=2026-08-04T07:53:37.201257Z digest=sha256:7b2f39152b3e734adef032df8e9f46a1252ded15236bb98ea03a50ba87b93dd2

Observation 1cd48ee4-97f0-475f-8e76-c76a14ca5d1c · outbound

This paper cites A review of population-based metaheuristics for large-scale black-box global optimization—Part I,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement A review of population-based metaheuristics for large-scale black-box global optimization—Part I,

Reference 61

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source=pdf_text observed=2026-08-04T07:53:37.368006Z digest=sha256:607de1c43cdedbc9070ba5a099f530bfa13017af71d9192d0d29089887121d46

Observation 5329fb8f-64b7-418a-82dd-10668c716929 · outbound

This paper cites IncreMacro: Incremental macro placement refinement,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement IncreMacro: Incremental macro placement refinement,

Reference 62

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source=pdf_text observed=2026-08-04T07:53:37.514562Z digest=sha256:0a8cc95093950457abea00b966b13d0e37e01799c644600ccae9b1c40f93c6c3

Observation d14cf3ac-39b2-45c4-b4b4-e7e162711c62 · outbound

This paper cites SOO-Bench: Benchmarks for evaluating the stability of offline black-box optimization,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement SOO-Bench: Benchmarks for evaluating the stability of offline black-box optimization,

Reference 63

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source=pdf_text observed=2026-08-04T07:53:37.619179Z digest=sha256:3d7e6411b411e070bc3943dd7cc1e8e1fbb2ab8997cfe05fe4a2ec9a8e108791

Observation 34295f07-645c-4928-a670-69357c571002 · outbound

This paper cites an unresolved cited work.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Unresolved cited work

Reference 64

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source=pdf_text observed=2026-08-04T07:53:37.818378Z digest=sha256:2bdeaaff9604e7697fd54f5f7ea47ebe128b247cd7ffc6071c87e4afa48b258f

Observation 0cc6ab42-4339-4b11-bb0b-63ac23bdca0f · outbound

This paper cites Finite Markov chain results in evolutionary computation: A tour d’horizon,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Finite Markov chain results in evolutionary computation: A tour d’horizon,

Reference 65

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source=pdf_text observed=2026-08-04T07:53:37.908763Z digest=sha256:2314064b88ef7354e69f690ab697c08b447188eae5047d6e6da0bbc4056ce996

Observation 5367c7f4-3f74-48a2-a150-023ee2b351d5 · outbound

This paper cites VLSI cell placement techniques,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement VLSI cell placement techniques,

Reference 66

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source=pdf_text observed=2026-08-04T07:53:38.044918Z digest=sha256:f1d68f644b4ef959535597af78a6efecefb7f031743dc99171a50ed8328072f0

Observation c2028970-6fa0-43b6-b609-f0b674b0bfbd · outbound

This paper cites Taking the human out of the loop: A review of Bayesian optimization,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Taking the human out of the loop: A review of Bayesian optimization,

Reference 67

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source=pdf_text observed=2026-08-04T07:53:38.188406Z digest=sha256:2bf4d91fe000ab7642a0c2b55ebbc786eccae762e2b8fb1ca5f0f8c9a2931bce

Observation 2ade7958-779b-4a08-a6f1-70c104128e81 · outbound

This paper cites Macro placement by wire-mask- guided black-box optimization,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Macro placement by wire-mask- guided black-box optimization,

Reference 68

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source=pdf_text observed=2026-08-04T07:53:38.333104Z digest=sha256:9c42e8600fa54e173a42b7516757ba1d1890745d95ca37285919908f02a5c6cc

Observation 6099187a-af96-414d-a9f9-8d4477563abe · outbound

This paper cites Monte Carlo tree search based variable selection for high dimensional Bayesian optimization,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Monte Carlo tree search based variable selection for high dimensional Bayesian optimization,

Reference 69

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source=pdf_text observed=2026-08-04T07:53:38.435800Z digest=sha256:412dbf07476d06b9a299326b4d8564d2fd391a0f88c546f49d22ca5533e395b2

Observation a4761e94-5169-4e31-b216-35408f4b78ad · outbound

This paper cites Fast and accurate routing demand estimation for efficient routability-driven placement,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Fast and accurate routing demand estimation for efficient routability-driven placement,

Reference 70

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source=pdf_text observed=2026-08-04T07:53:38.570117Z digest=sha256:7e7383115ef5cabdb2adda6563b8a8e2a122ce22a08ec1c97817f4ae0fb0700c

Observation f16acdcc-9e62-4b4e-a6b3-2b6f33081cc4 · outbound

This paper cites Information- theoretic regret bounds for Gaussian process optimization in the bandit setting,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Information- theoretic regret bounds for Gaussian process optimization in the bandit setting,

Reference 71

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source=pdf_text observed=2026-08-04T07:53:38.654169Z digest=sha256:322b74806f1c949c3d61716da4a26bc82fd2eff19dd07e31a2bb41b7712ae5d9

Observation 3837dbc1-bce2-4ef1-abff-662288a3bf26 · outbound

This paper cites LLaMEA: A large language model evolu- tionary algorithm for automatically generating metaheuristics,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement LLaMEA: A large language model evolu- tionary algorithm for automatically generating metaheuristics,

Reference 72

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source=pdf_text observed=2026-08-04T07:53:38.773500Z digest=sha256:bc30ff06b20a8e5fbbc3adc3301b55632e2756e6921a6626345a238a86dc6153

Observation 32456fce-70c1-423a-8242-73796cdca481 · outbound

This paper cites Nonconvex optimization by fast simulated annealing,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Nonconvex optimization by fast simulated annealing,

Reference 73

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source=pdf_text observed=2026-08-04T07:53:38.948093Z digest=sha256:b00a5249e0f8cb573efeb9c1cd4b56577b5b4b9a08bac89f068f5150d7d0fe63

Observation ce48a0c9-fd1f-4885-aace-664f06ec92c9 · outbound

This paper cites A memetic algorithm for VLSI floorplanning,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement A memetic algorithm for VLSI floorplanning,

Reference 74

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source=pdf_text observed=2026-08-04T07:53:39.154282Z digest=sha256:96da2cb1697c2e3dda3507c76aead4d40d8fcc2eb3d50855c82da24f0974c28e

Observation f37c60c8-b93c-41b9-8907-94507bd7dd48 · outbound

This paper cites MuJoCo: A physics engine for model-based control,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement MuJoCo: A physics engine for model-based control,

Reference 75

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source=pdf_text observed=2026-08-04T07:53:39.293560Z digest=sha256:423471221f20351e3c26082c046276e0f2f25010e265fb6d9810cca334f16b53

Observation 8ecb6713-057d-405b-86fa-582eec394f02 · outbound

This paper cites How do dynamic events change the fitness landscape of traveling salesman problems?.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement How do dynamic events change the fitness landscape of traveling salesman problems?

Reference 76

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source=pdf_text observed=2026-08-04T07:53:39.405764Z digest=sha256:63f47f256cc80ff78a4b6aaee876b37c638022a8c1f0ba0812cdb2f0cb2f3fa6

Observation 35221e7c-abd1-4c47-be6d-1f5f6d540b16 · outbound

This paper cites Design-Bench: Bench- marks for data-driven offline model-based optimization,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Design-Bench: Bench- marks for data-driven offline model-based optimization,

Reference 77

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source=pdf_text observed=2026-08-04T07:53:39.509309Z digest=sha256:53797a77a161e6e74987e12fad5c641df0a46c978d118c6404b7b1df171fed0d

Observation c983e1bf-ceda-4508-af70-7e125cc81599 · outbound

This paper cites Placement in Integrated Circuits using Cyclic Reinforcement Learning and Simulated Annealing.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Placement in Integrated Circuits using Cyclic Reinforcement Learning and Simulated Annealing

Reference 78

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source=pdf_text observed=2026-08-04T07:53:39.645254Z digest=sha256:292990e1f1afd00c3f434f9ece41b079ef3526a4d4c71ce28b87f3ae3dd4702e

Observation 0f43617d-07b7-4bfe-8368-8408ddc845c8 · outbound

This paper cites Two Arch2: An improved two-archive algorithm for many-objective optimization,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Two Arch2: An improved two-archive algorithm for many-objective optimization,

Reference 79

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source=pdf_text observed=2026-08-04T07:53:39.778978Z digest=sha256:090a0eaf981dff08e0503d1c227c1c68cd2f345448ff2954f48beb13593d2cf2

Observation dfb5f683-534c-4c44-b889-9cd791fcc750 · outbound

This paper cites Learning search space partition for black-box optimization using Monte Carlo tree search,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Learning search space partition for black-box optimization using Monte Carlo tree search,

Reference 80

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source=pdf_text observed=2026-08-04T07:53:39.904990Z digest=sha256:05d1688afc72bb054f3d02cb78dab31e1f045e45391245f85e4d1f27db103893

Observation acca15cc-1b8b-4e75-9912-9562cdf69a66 · outbound

This paper cites Benchmarking end-to-end performance of AI- based chip placement algorithms,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Benchmarking end-to-end performance of AI- based chip placement algorithms,

Reference 81

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source=pdf_text observed=2026-08-04T07:53:40.046064Z digest=sha256:d4269bcb733a3c05afc63519aa3baa4e74bd8b3ad884e96c5b6a38757d8ce732

Observation 5f3ab2d8-e042-4289-9f83-dc69a91b1a4c · outbound

This paper cites Reinforcement learning policy as macro regulator rather than macro placer,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Reinforcement learning policy as macro regulator rather than macro placer,

Reference 82

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source=pdf_text observed=2026-08-04T07:53:40.188624Z digest=sha256:b493198bdf3d5a6cf0381c56ecc2db5d7b2a7ccef7d9727b4629b2b9b766aeb2

Observation cb41e28a-9443-47f5-a9fe-0c8ea36d418a · outbound

This paper cites Escaping Local Optima in Global Placement.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Escaping Local Optima in Global Placement

Reference 83

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source=pdf_text observed=2026-08-04T07:53:40.347586Z digest=sha256:fa5a95465e799fc575ec07a7407f0a650b2d14480497946c53537d540613d2cc

Observation 0bd13f2e-5b6f-4525-a8b1-d8a6c5eedd72 · outbound

This paper cites Offline multi-objective optimization,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Offline multi-objective optimization,

Reference 84

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source=pdf_text observed=2026-08-04T07:53:40.486977Z digest=sha256:728e7257e1a1f4bca37db59fb9276921a67e488d27d6ea9ae30d9197faea4e4b

Observation 2f452533-28ac-4506-bac6-5e4a4793265e · outbound

This paper cites Multi-agent dynamic algorithm configuration,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Multi-agent dynamic algorithm configuration,

Reference 85

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source=pdf_text observed=2026-08-04T07:53:40.591333Z digest=sha256:32d9fbaf2b3bc27653284fd1eeeb7d148e4bb37e33cce370265df5e296abe26a

Observation 678edc7c-b38b-4b6e-b569-63a519bb961e · outbound

This paper cites CircuitNet 2.0: An advanced dataset for promoting machine learning innovations in realistic chip design environment,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement CircuitNet 2.0: An advanced dataset for promoting machine learning innovations in realistic chip design environment,

Reference 86

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source=pdf_text observed=2026-08-04T07:53:40.749758Z digest=sha256:1e8a66744a6da678f570f54408ae4b459f3a723293416684e28fb7a89a7b6487

Observation 92df6391-9ef7-4e52-9453-34dcd2a04201 · outbound

This paper cites NAS-Bench-101: Towards reproducible neural architecture search,.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement NAS-Bench-101: Towards reproducible neural architecture search,

Reference 87

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source=pdf_text observed=2026-08-04T07:53:40.874635Z digest=sha256:109f4f56ae9349f1e14b3c0018eba5a461392677f32dc90ff024ead15a2876e2

Observation fce8dc35-7c3a-4bd5-b151-da02a396e9cb · outbound

This paper cites an unresolved cited work.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Unresolved cited work

Reference 88

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source=pdf_text observed=2026-08-04T07:53:40.981280Z digest=sha256:09c0f8961b6a6594c07264f82cee16da101664c9409ba1f4ba5aed826010f0ee

Observation 7710446a-820f-472a-8c55-deb3422a0704 · outbound

This paper cites Zhang, R.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Zhang, R

Reference 89

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source=pdf_text observed=2026-08-04T07:53:41.108420Z digest=sha256:ea2bc7afcb0069a70a0e323eed1c6c5776014d3b8915ccfcb9dddac71f299735

Observation c1c0cbbc-3ade-4db2-be4f-62cc71467bd2 · outbound

This paper cites DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale

Reference 90

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source=pdf_text observed=2026-08-04T07:53:41.236789Z digest=sha256:350a95448f606f289de8641168eeb7f0b53540d0a4a7e9def3bc810caa74e72d

Observation 2fda6ade-3e69-4db5-bc12-4ebde0166ff6 · outbound

This paper cites an unresolved cited work.

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement Unresolved cited work

Reference 91

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source=pdf_text observed=2026-08-04T07:53:41.372862Z digest=sha256:395a829ddd43e559e745165ff30bd9eb882d051ad69ae20aea771a444613e97e

Pith citing papers

Observation a42ae95e-c4d3-4ade-b898-c403bf19a0c3 · inbound

Order Matters: Unveiling the Hidden Impact of Macro Placement Sequences via Proxy-Guided LLM Evolution cites this paper.

Order Matters: Unveiling the Hidden Impact of Macro Placement Sequences via Proxy-Guided LLM Evolution BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement

Reference 78

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verified exact
arxiv_id, observed 2026-07-21T02:19:45.806331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T17:12:42.480513Z digest=sha256:903ca3aaf521b774cc014928809023d3e752e6ef55bd293df79c204a3228f173