Paper Citation Record · LEDGER

Multi-primitive in-memory computing for Monte Carlo tree search

As of 19 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2607.22869.

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

pith.paper-citation-record.v1
2607.22869 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:33:45.358573Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

verified exact4
verified fuzzy18
unresolved12
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 168dcf66-694b-46a1-8760-e6d85376c764 · outbound

This paper cites In: International Conference on Computers and Games, pp.

Multi-primitive in-memory computing for Monte Carlo tree search In: International Conference on Computers and Games, pp

Reference 1

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Observation 4674d215-8d6b-423f-9910-d44c7911dfbc · outbound

This paper cites In: Euro- pean Conference on Machine Learning (ECML), pp.

Multi-primitive in-memory computing for Monte Carlo tree search In: Euro- pean Conference on Machine Learning (ECML), pp

Reference 2

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Observation f76a1bef-7aee-47ee-8937-62ace18ea452 · outbound

This paper cites In: Computers and Games (CG 2016).

Multi-primitive in-memory computing for Monte Carlo tree search In: Computers and Games (CG 2016)

Reference 3

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Observation dec1aea6-8407-45f5-be1f-f9bfac8dbfb9 · outbound

This paper cites Nature529(7587), 484–489 (2016) https://doi.org/10.1038/nature16961.

Multi-primitive in-memory computing for Monte Carlo tree search Nature529(7587), 484–489 (2016) https://doi.org/10.1038/nature16961

Reference 4

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Observation 20d9b1ee-3b52-4075-a901-89e46ea31939 · outbound

This paper cites Science362(6419), 1140–1144 (2018) https: //doi.org/10.1126/science.aar6404.

Multi-primitive in-memory computing for Monte Carlo tree search Science362(6419), 1140–1144 (2018) https: //doi.org/10.1126/science.aar6404

Reference 5

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Observation 64557c08-682d-4e60-b799-edf7a6afa265 · outbound

This paper cites Integration58, 74–81 (2017).

Multi-primitive in-memory computing for Monte Carlo tree search Integration58, 74–81 (2017)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:33:46.690471Z

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Observation 48ed7498-a999-4217-b3e5-1fa43dcc723a · outbound

This paper cites Technical Report HPL-2009-85, HP Labs (2009).

Multi-primitive in-memory computing for Monte Carlo tree search Technical Report HPL-2009-85, HP Labs (2009)

Reference 7

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Observation e102ae82-2d40-4f74-8a80-579f46ce6bb6 · outbound

This paper cites IEEE Journal of Solid-State Circuits 41(3), 712–727 (2006).

Multi-primitive in-memory computing for Monte Carlo tree search IEEE Journal of Solid-State Circuits 41(3), 712–727 (2006)

Reference 8

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Observation 4f1ab897-ce01-4cb7-94a5-43ec8ee2bf49 · outbound

This paper cites In: 2012 Symposium on VLSI Technology (VLSIT), pp.

Multi-primitive in-memory computing for Monte Carlo tree search In: 2012 Symposium on VLSI Technology (VLSIT), pp

Reference 9

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Observation 49ac8a07-875b-4588-86b7-2d971050e706 · outbound

This paper cites IEEE Journal of Solid-State Circuits51(4), 1009–1021 (2016) https://doi.org/ 10.1109/JSSC.2016.2515510 27.

Multi-primitive in-memory computing for Monte Carlo tree search IEEE Journal of Solid-State Circuits51(4), 1009–1021 (2016) https://doi.org/ 10.1109/JSSC.2016.2515510 27

Reference 10

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Observation 2a5203f7-bb24-4627-91bd-59a1adaec25c · outbound

This paper cites SIGMETRICS Performance Evaluation Review38(4), 37–42 (2011).

Multi-primitive in-memory computing for Monte Carlo tree search SIGMETRICS Performance Evaluation Review38(4), 37–42 (2011)

Reference 11

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Observation 303dd921-c32d-443f-b0b6-f9a025cc13bb · outbound

This paper cites Advanced Materials30(9), 1705914 (2018).

Multi-primitive in-memory computing for Monte Carlo tree search Advanced Materials30(9), 1705914 (2018)

Reference 12

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Observation 1bde002d-24f3-46c3-8fda-e095db5efdff · outbound

This paper cites Advanced Electronic Materials5(9), 1800876 (2019).

Multi-primitive in-memory computing for Monte Carlo tree search Advanced Electronic Materials5(9), 1800876 (2019)

Reference 13

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Observation 165505f5-2c7b-4809-94bf-048576182067 · outbound

This paper cites In: 2020 IEEE International Memory Work- shop (IMW), pp.

Multi-primitive in-memory computing for Monte Carlo tree search In: 2020 IEEE International Memory Work- shop (IMW), pp

Reference 14

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Observation ca785fc3-33c5-4f96-aabe-57d143d79323 · outbound

This paper cites Nature 608, 504–512 (2022) https://doi.org/10.1038/s41586-022-04992-8.

Multi-primitive in-memory computing for Monte Carlo tree search Nature 608, 504–512 (2022) https://doi.org/10.1038/s41586-022-04992-8

Reference 15

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Observation 4aac7ad9-d4ca-4eb1-84cc-02335629b00a · outbound

This paper cites ACM Transactions on Modeling and Performance Evaluation of Computing Systems3(2), 9 (2018) https://doi.org/10.1145/3177754.

Multi-primitive in-memory computing for Monte Carlo tree search ACM Transactions on Modeling and Performance Evaluation of Computing Systems3(2), 9 (2018) https://doi.org/10.1145/3177754

Reference 16

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Observation 64b42e33-3467-4de4-b642-081a890a1611 · outbound

This paper cites SoftwareX30, 102139 (2025) https: //doi.org/10.1016/j.softx.2025.102139.

Multi-primitive in-memory computing for Monte Carlo tree search SoftwareX30, 102139 (2025) https: //doi.org/10.1016/j.softx.2025.102139

Reference 17

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Observation 60318b33-6315-4bad-b88a-d7d64251f35b · outbound

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Multi-primitive in-memory computing for Monte Carlo tree search Unresolved cited work

Reference 18

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This paper cites IEEE Journal of Solid-State Circuits52(1), 127–138 (2017) https://doi.org/10.1109/JSSC.2016.

Multi-primitive in-memory computing for Monte Carlo tree search IEEE Journal of Solid-State Circuits52(1), 127–138 (2017) https://doi.org/10.1109/JSSC.2016

Reference 19

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Observation 0ea1f03c-ae0d-400d-b1ab-0f7fe529131c · outbound

This paper cites ACM SIGARCH Computer Architecture News45(2), 1–12 (2017) https://doi.org/10.1145/3140659.3080246.

Multi-primitive in-memory computing for Monte Carlo tree search ACM SIGARCH Computer Architecture News45(2), 1–12 (2017) https://doi.org/10.1145/3140659.3080246

Reference 20

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Observation 33eaed62-3e26-42a2-b4ec-53667f87a4de · outbound

This paper cites IEEE Transactions on Cir- cuits and Systems I: Regular Papers (2025) https://doi.org/10.1109/TCSI.2025.

Multi-primitive in-memory computing for Monte Carlo tree search IEEE Transactions on Cir- cuits and Systems I: Regular Papers (2025) https://doi.org/10.1109/TCSI.2025

Reference 21

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Observation 9e0e8848-7b75-48c4-a1d2-f3b7db8d0e1f · outbound

This paper cites In: Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays (FPGA), pp.

Multi-primitive in-memory computing for Monte Carlo tree search In: Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays (FPGA), pp

Reference 22

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This paper cites In: 2022 32nd International Confer- ence on Field-Programmable Logic and Applications (FPL), pp.

Multi-primitive in-memory computing for Monte Carlo tree search In: 2022 32nd International Confer- ence on Field-Programmable Logic and Applications (FPL), pp

Reference 23

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Observation 02da3b83-08ae-4789-82ee-1326e87f6c14 · outbound

This paper cites Master’s thesis, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal (2019).

Multi-primitive in-memory computing for Monte Carlo tree search Master’s thesis, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal (2019)

Reference 24

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Observation 95c0b315-f02d-44b0-a40f-ede54d722af8 · outbound

This paper cites In: 2014 International Conference on Field- Programmable Technology (FPT), pp.

Multi-primitive in-memory computing for Monte Carlo tree search In: 2014 International Conference on Field- Programmable Technology (FPT), pp

Reference 25

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This paper cites In: International Con- ference on Learning and Intelligent Optimization (LION).

Multi-primitive in-memory computing for Monte Carlo tree search In: International Con- ference on Learning and Intelligent Optimization (LION)

Reference 26

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Observation 69e1ae9f-3db3-47f3-af33-92c70da500f3 · outbound

This paper cites In: 2022 3rd International Conference on Artificial Intelligence, Information Processing and Cloud Computing (AIIPCC), pp.

Multi-primitive in-memory computing for Monte Carlo tree search In: 2022 3rd International Conference on Artificial Intelligence, Information Processing and Cloud Computing (AIIPCC), pp

Reference 27

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Multi-primitive in-memory computing for Monte Carlo tree search Available online (2022)

Reference 28

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This paper cites In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.

Multi-primitive in-memory computing for Monte Carlo tree search In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp

Reference 29

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Multi-primitive in-memory computing for Monte Carlo tree search In: Latifi, S

Reference 30

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Observation ac9dfa2b-7f40-4100-8452-d9be9b30bc8a · outbound

This paper cites In: 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and PhD Forum, pp.

Multi-primitive in-memory computing for Monte Carlo tree search In: 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and PhD Forum, pp

Reference 31

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Observation c0017d52-46db-469d-ae19-c49baed873ab · outbound

This paper cites In: 2024 International Conference on Neuromorphic Systems (ICONS), pp.

Multi-primitive in-memory computing for Monte Carlo tree search In: 2024 International Conference on Neuromorphic Systems (ICONS), pp

Reference 32

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Multi-primitive in-memory computing for Monte Carlo tree search IEEE Transactions on Games13(3), 315–320 (2021) https://doi.org/10

Reference 33

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Multi-primitive in-memory computing for Monte Carlo tree search Unresolved cited work

Reference 34

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Observation cc68e524-d3f0-41bc-8b68-398bdfbcacb5 · outbound

This paper cites In: Proceedings of the 41st International Conference on Machine Learning (ICML).

Multi-primitive in-memory computing for Monte Carlo tree search In: Proceedings of the 41st International Conference on Machine Learning (ICML)

Reference 35

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Observation 27e7c1ce-8a81-44ff-a92f-59c2c2e38841 · outbound

This paper cites In: 2016 IEEE Intelligent Vehicles Symposium (IV), pp.

Multi-primitive in-memory computing for Monte Carlo tree search In: 2016 IEEE Intelligent Vehicles Symposium (IV), pp

Reference 36

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This paper cites MIT Press, Cambridge, MA, USA (2005) 30.

Multi-primitive in-memory computing for Monte Carlo tree search MIT Press, Cambridge, MA, USA (2005) 30

Reference 37

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Pith citing papers

No inbound Pith citation observations are available.