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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-17T06:30:58.91139+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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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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source=pdf_text observed=2026-08-04T07:53:32.891454Z digest=sha256:7b84ea8a5dfda2886a4e1d7a0a330e97aa07c8abe3527f1f8e44b45221f60513

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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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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source=pdf_text observed=2026-08-04T07:53:33.304352Z digest=sha256:bf861ff288b755c3f8a9ec01919dbd2da80ab53af25a5f0bf1832b59d1698aba

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=sha256:10732137f962d7f405670b65121f073845b1f4d0c6e0ea0df0a5fbb17b9338be

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=sha256:34b9aec65cf44bf0049acfc1f59584e6560ff6110b3b134458a2973dd3972914

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=sha256:16c983875b32c57109269060812ee2662c0b8896d8a8136ac7808d7dc6e88f9d

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=sha256:4fb47642ae1b199283e0e263071c57d142dfccd1405b46ee9aaea7eaf2e436b2

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:e7d5e4ef445e192885fd330ead1f7996c55a7a46a7e9803918052c0e251691cd

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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source=pdf_text observed=2026-08-04T07:53:33.775201Z digest=sha256:a49f178e947115143603879284b1c6b15cc9e69bd4e8f0bfbd17e6d7c2340e99

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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source=pdf_text observed=2026-08-04T07:53:33.907918Z digest=sha256:95ecf8f344082a2cf1b74f3c6618231a921c73ef663b0966358eeafc77dbbfbe

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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source=pdf_text observed=2026-08-04T07:53:34.324531Z digest=sha256:aae5d67f836ece265e24f8ab7ef9fec37a03a7c3efdef59c14c45f8ca2bd8ee2

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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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:dec302ba7d6136cef73397278cdc14e37088dd77cb2e3979ebac8c1413fc974a

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=sha256:3364a6f919f80442a96e555b0e440b8ab0f013463fff288a942350404be3a36f

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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source=pdf_text observed=2026-08-04T07:53:34.770572Z digest=sha256:4f01e654e882e464ba0e44ad30cf992d072dba00cbac03302d032c5cfafa1b61

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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source=pdf_text observed=2026-08-04T07:53:34.894536Z digest=sha256:46f27e2f88216918ff0fcd5e2b410bc0ecdf7e7b42226c9e4399c06bd7090a46

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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source=pdf_text observed=2026-08-04T07:53:35.047938Z digest=sha256:e8c74a2370663467d087e5d6075574cd72c25d447ca06082e35d17bb8bcc61c4

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=sha256:6e9a5cfb5a4ef076c5a28bb789984c4be839835779349b22070ae69bf047091a

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=sha256:4f0ec836d28083566b6a81636662a1b78e947589fb29ed6a273156bf7aacfdde

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:e05f1d0cf85f6887e79f0584d16c6037bce6b46596901b35d80adbe061720ed4

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=sha256:690f01d788e9b2d04c9055c6c342c426d0b67d58710ddfef7c79f8d63471b42f

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=sha256:861a3311f238ffaa05349f706244a96fbd111297af70c06ba2f21b98e4dccbd4

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=sha256:6b42c4b931d52ed4933eaa9d9d32afd3a17f814b3cceee0fbf8d0f19547b960e

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=sha256:151779b9ad35db0236f2b6919b24ad7619831979bf8089f31f82e39856b1ceb5

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:e481817726c302d8d1cc9764f80b3c07289bcb1daac82adbab911e4e1f1bb467

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=sha256:2f3ae4d7ab1944437eb8210d126e9a72fcb5a8318195fc27903b7fa0f02ad5d2

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=sha256:992ac052d442a82b4702bef6c4e705b592b61384c965082fc80c0660bd45bd7f

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=sha256:00f784570c21ec31f4e232d82f1e242c61434310e0512126bacba6ba1b627e39

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=sha256:3f523a10ddffd91cf6cf8ed98ca94aec47222707777fe5cfea118aca7f2f7ea4

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:bd8388556f478d5dc29fb4210e31a22b11bf21fa67e8a0c382d802b79dbe9145

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:c11fc2a90e5a074dbb532614b2ddbe3315a6319b23d70dd9b81c94853d635a26

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=sha256:5ba854bd344c8a9d292543b9d79f282391244cc29de2e6e853e35c57d01de874

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=sha256:31819066b756119d51a217118001757dd5e52888d8dd556e807d7ae9e89542fd

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:a4f257c06db6e57413c18177f0d751bf7096f2aba5a59fd1b04285ece4eef389

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:ef3b73b395e895614eeb90b88e36b288170284d049393c36109f7d09832ff6fc

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:ff4d1839d5afd995d8441af8ae8f73959faedef264d0ebac5bb8e3af67298aa6

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=sha256:2ed11b715cdc515eef69fb89a63a1b15d7ae9d44a440a0a60152960d3b16a276

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=sha256:39f47c0d0724eb30838b39d06dff9db2a55ec759cd371f4b2165b83eb18d77c0

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:ce98228ad53ab94933dbc836ed6f36de19a710450336309b2bf6a8726a7ce43a

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=sha256:2ff5bb306503ca6a3da350f0eeeacc424b498a44c7c92036f29138c5dba00f8a

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:f010f80718643c7a35631c0b4d0bf7d80f79a500f93fc8555452807cd6086b43

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=sha256:56590d3c102933ebadb32a2bd9b6009fb85c4c8315f93b41a13b6a22d719fa84

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:e6f75bb3393789682d9e0bd36b19473d03f837b65e71deb0863b158a11116bc7

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=sha256:78b2aadf6cd5f54eed1d7d39ac31f309598b7471f3d469259f7a283fa183c603

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:d4faacca32297eea6b5e3b946b4c682682750fa5d43162d50f3807cca5fb9ae8

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:cb0f068d864145ec897f1c149a8c9ad65b9e8966f39a273f560cef5099c9558e

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:a7f1c4d9c102370531576cd515dcf8c1d894f89ea3c1db0eea01fb5d8de00708

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=sha256:0c88bcad1e939ce0d67634d66772a7a00b5a9510056ade66b9dfb636bf6f2967

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=sha256:2248f98e575f53567b18756f2cac075c704f049d81cc337652196dbfb44440cf

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=sha256:81fc751710722b419dd59e60b795d1e9236e66d24a4e1dd4c1c3d3d30240554d

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=sha256:73b4cd01342463aacf956ea98e017b3fec07f4013d18e86b77b9becdb81d6876

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=sha256:3f223338ae61b6799d3d7b988626d89d4e74abea47138ca77778efb0be4b1541

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=sha256:1b30beb54322da18b9867fa7ed875b01ed915a4a091ec67cd3a7439838753492

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:c524028f0950492cd191ab2fff37875907b2d20ddcedb0eedcdf630d9112165d

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:ca842dddd76cd38b345ffec6970075d356dfee666da0f8118969b00fd781961d

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=sha256:56e3f1389203a2faf3a78f597918d0fdba6433f2bf4db937f8c70d1582e6e633

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:f994b6d8c54a9daa62595e2898c0ec9d627612815360c74266c578a1133d06d5

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:ae4e1c7ea349e3a95d4cb838f7217afa53484ff16a3b1f70e752f6e853eddf69

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:dab1767b664c431642f52384c7e518b75389b2c9654bfbed181de06d617c6aeb

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:ebffec52e8d4e203d1bde6952ff2ac403ec8eb549bcc754f5397e10ffb4d72e5

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:eb42d1fe690a738bb0a19b257bbd3cab3811b4b51abb2f7eb519be13dccc3804

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=sha256:95344cb8736c9178567cf6a61c78545b3b21a27eca90dafd23b4f9c961dae28c

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=sha256:4070a97a74e5a5f329d044d0439fad82086c46c22af2a2af8afb54041dceb26b

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:bb9a433619e4a3cd6b081c39cc6891f3a83f7a5d1ec4d64e1cd02abaea8b48eb

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:c8f99f7fd4fe92fd5c46dc8c813fcdc51b2e747440bca2c4380e0d09349990df

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:bdbc882be955943af4c3b488954f1e382a9fecbeb68fe3cd99c69cfc7dcf65bc

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:a1fa9e37161d653c0299fbff3272fd6e60a7ec26b8cbd8743c89e3791be4926f

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:c2cac359cad4a6a58a1ac912ccc2562963bb16b96a55e5a9f21dc4af45663001

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=sha256:555739722325f9267a34b898df23b67e3224215703d2157e47fdf69dd695344c

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:ce836a1d01e390aa9c9324fe0429360c605bd488012b0c82d41809384cd5a653

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=sha256:9389bba082a5cf327b64b23c36812c0374d15dbe2c0ef1153a21f2a57673beed

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:a7c73cab7d04841e0e6401fb7d94be8e9a8a98c49b4ac50f360982c4a0713115

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-27T17:12:42.480513Z digest=sha256:e1b0ad0945947daccad8151ef2ce5ea9460dc125048453076c8219ce0934eab6