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Paper Citation Record · LEDGER

Nonlocal Monte Carlo via Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 100 of 118 outbound references and 1 inbound Pith citation observation for arXiv:2508.10520.

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

pith.paper-citation-record.v1
2508.10520 v1

Coverage vector

measured 100 of 118 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:29:20.636239Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T04:53:10.425398Z

measured 0 of 1 external citation measurements

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Source: arxiv_reference, observed 2026-05-18T04:55:54.373268Z

Reference resolution

100 of 118 outbound references displayed

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  • verified fuzzy23
  • unresolved67
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Outbound references

Observation 735d4639-15b5-428d-add8-29f5afd41273 · outbound

This paper cites make− break.

Nonlocal Monte Carlo via Reinforcement Learning make− break

Reference 1

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Observation dbaf11c3-808b-4ece-94a2-b99e0e872569 · outbound

This paper cites back- bone.

Nonlocal Monte Carlo via Reinforcement Learning back- bone

Reference 3

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Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

Reference 4

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Observation fe23c3a3-4949-4672-9164-83a393bbd691 · outbound

This paper cites RLNMC (to- tal).

Nonlocal Monte Carlo via Reinforcement Learning RLNMC (to- tal)

Reference 5

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Observation e8248672-1aaa-45b0-b3f5-714f0c3d7fce · outbound

This paper cites freezing.

Nonlocal Monte Carlo via Reinforcement Learning freezing

Reference 6

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This paper cites 4 we also show the the average energy (number of unsatisfied clauses) for the scale free problems in Fig.

Nonlocal Monte Carlo via Reinforcement Learning 4 we also show the the average energy (number of unsatisfied clauses) for the scale free problems in Fig

Reference 7

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Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

Reference 8

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This paper cites distance to best σ.

Nonlocal Monte Carlo via Reinforcement Learning distance to best σ

Reference 9

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Nonlocal Monte Carlo via Reinforcement Learning unstable

Reference 10

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Nonlocal Monte Carlo via Reinforcement Learning back- bones

Reference 11

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This paper cites VI A 1 and Sec.

Nonlocal Monte Carlo via Reinforcement Learning VI A 1 and Sec

Reference 12

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This paper cites Mezard and A.

Nonlocal Monte Carlo via Reinforcement Learning Mezard and A

Reference 13

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Observation ed816803-5e5e-4529-87fb-1e0daf27fa68 · outbound

This paper cites Zdeborov´ a and F.

Nonlocal Monte Carlo via Reinforcement Learning Zdeborov´ a and F

Reference 14

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Observation 925f8c3b-599b-4737-a9bd-03d3ca05fdb6 · outbound

This paper cites Turing in the shadows of Nobel and Abel: an algorithmic story behind two recent prizes.

Nonlocal Monte Carlo via Reinforcement Learning Turing in the shadows of Nobel and Abel: an algorithmic story behind two recent prizes

Reference 15

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Observation 8e134860-3451-4160-b489-fbc479817bd1 · outbound

This paper cites Kirkpatrick, C.

Nonlocal Monte Carlo via Reinforcement Learning Kirkpatrick, C

Reference 16

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Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

Reference 17

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Nonlocal Monte Carlo via Reinforcement Learning Mohseni, P

Reference 18

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Observation e35f953a-55b7-4a9c-b54e-e8458c8a2a2a · outbound

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Nonlocal Monte Carlo via Reinforcement Learning Hauke, H

Reference 19

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Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

Reference 20

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Observation 743569a2-4be7-4cc7-b0b5-7cfc30d721d3 · outbound

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Nonlocal Monte Carlo via Reinforcement Learning Albash and D

Reference 21

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Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

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Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

Reference 23

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Observation 5841be99-5c7c-482f-b5ac-16a294f2040f · outbound

This paper cites Wolff, Collective monte carlo updating for spin sys- tems, Phys.

Nonlocal Monte Carlo via Reinforcement Learning Wolff, Collective monte carlo updating for spin sys- tems, Phys

Reference 24

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This paper cites Houdayer, A cluster monte carlo algorithm for 2- dimensional spin glasses, The European Physical Jour- nal B - Condensed Matter and Complex Systems 22, 479 (2001).

Nonlocal Monte Carlo via Reinforcement Learning Houdayer, A cluster monte carlo algorithm for 2- dimensional spin glasses, The European Physical Jour- nal B - Condensed Matter and Complex Systems 22, 479 (2001)

Reference 25

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Nonlocal Monte Carlo via Reinforcement Learning Hamze and N

Reference 26

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Observation a19d0d75-e993-4e4b-8e52-a803f0f50344 · outbound

This paper cites Efficient subgraph-based sampling of Ising-type models with frustration.

Nonlocal Monte Carlo via Reinforcement Learning Efficient subgraph-based sampling of Ising-type models with frustration

Reference 27

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Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

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This paper cites Hen, Solving spin glasses with optimized trees of clus- tered spins, Phys.

Nonlocal Monte Carlo via Reinforcement Learning Hen, Solving spin glasses with optimized trees of clus- tered spins, Phys

Reference 29

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This paper cites Nonequilibrium Monte Carlo for unfreezing variables in hard combinatorial optimization.

Nonlocal Monte Carlo via Reinforcement Learning Nonequilibrium Monte Carlo for unfreezing variables in hard combinatorial optimization

Reference 30

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Nonlocal Monte Carlo via Reinforcement Learning Mohseni, M

Reference 31

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Nonlocal Monte Carlo via Reinforcement Learning Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon

Reference 32

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Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

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Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

Reference 34

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Nonlocal Monte Carlo via Reinforcement Learning Neural Combinatorial Optimization with Reinforcement Learning

Reference 35

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Nonlocal Monte Carlo via Reinforcement Learning Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search

Reference 36

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Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

Reference 37

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Nonlocal Monte Carlo via Reinforcement Learning Attention, Learn to Solve Routing Problems!

Reference 38

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Nonlocal Monte Carlo via Reinforcement Learning Learning Combinatorial Optimization Algorithms over Graphs

Reference 39

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Nonlocal Monte Carlo via Reinforcement Learning Exploratory Combinatorial Optimization with Reinforcement Learning

Reference 40

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Nonlocal Monte Carlo via Reinforcement Learning Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration

Reference 41

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Nonlocal Monte Carlo via Reinforcement Learning T¨ onshoff, B

Reference 42

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source=pdf_text observed=2026-08-05T20:29:14.623277Z digest=sha256:41ea807875f507a15e257c81cf4f9fa8de877d6414d8722dd0637144f9f67d03

Observation 5bba5b8f-7161-4093-ab33-8bb5db380952 · outbound

This paper cites Mazyavkina, S.

Nonlocal Monte Carlo via Reinforcement Learning Mazyavkina, S

Reference 43

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source=pdf_text observed=2026-08-05T20:29:14.753866Z digest=sha256:004a05962842e52e0d61e44438ab9b0cb6b355d12dc7f86dd66cea1651006023

Observation 31e6cfe1-72c5-497f-861c-c01610bf1464 · outbound

This paper cites Learning What to Defer for Maximum Independent Sets.

Nonlocal Monte Carlo via Reinforcement Learning Learning What to Defer for Maximum Independent Sets

Reference 44

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verified exact
local_arxiv, observed 2026-08-05T20:29:24.082238Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:14.849531Z digest=sha256:0f6853c3ec8459c2cfd3f04c0b251f0c87dc241e84e80a4330a4b6e7dfc75b68

Observation 6ec3db7e-e424-4618-8153-4a7c8f0836ed · outbound

This paper cites Mills, P.

Nonlocal Monte Carlo via Reinforcement Learning Mills, P

Reference 45

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source=pdf_text observed=2026-08-05T20:29:14.975216Z digest=sha256:da3c658c2276c134182d41e9cc3cedf57a174b71b3e4b6c4879942e06abd8b15

Observation becc3629-c3f9-4dd6-985d-50f89e7c795b · outbound

This paper cites Deep Policy Dynamic Programming for Vehicle Routing Problems.

Nonlocal Monte Carlo via Reinforcement Learning Deep Policy Dynamic Programming for Vehicle Routing Problems

Reference 46

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verified exact
local_arxiv, observed 2026-08-05T20:29:23.892554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:15.150638Z digest=sha256:5125e0e7e63f0cfe96e07502bdcfcf44ee6a9fe8f973ca856a68c89eecd1cd39

Observation 37f10e2c-c0ab-4cc0-b89c-1ce22bd153b4 · outbound

This paper cites What's Wrong with Deep Learning in Tree Search for Combinatorial Optimization.

Nonlocal Monte Carlo via Reinforcement Learning What's Wrong with Deep Learning in Tree Search for Combinatorial Optimization

Reference 47

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source=pdf_text observed=2026-08-05T20:29:15.277179Z digest=sha256:7a7c08f1c61f8f174669cf56947fe958a51edb73d3d805635f4752b3e485cb70

Observation 4e66784d-1fbd-4654-9048-ffe94bd18ecd · outbound

This paper cites an unresolved cited work.

Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

Reference 48

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source=pdf_text observed=2026-08-05T20:29:15.435641Z digest=sha256:41224a637290b2f7d98c3b6dbef78a88d7347118c2ed5bb983b36759aeba9274

Observation 0bd99746-ef2d-4d9e-b85e-d8fd61bf9f73 · outbound

This paper cites Cappart, D.

Nonlocal Monte Carlo via Reinforcement Learning Cappart, D

Reference 49

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source=pdf_text observed=2026-08-05T20:29:15.559526Z digest=sha256:6f4deb485de5e52007878cb2432e90d6bf7b5adab5867b8e26e9447065ac2950

Observation 65e2bace-93a8-4412-bda6-faf6eb074426 · outbound

This paper cites Perdomo-Ortiz, A.

Nonlocal Monte Carlo via Reinforcement Learning Perdomo-Ortiz, A

Reference 50

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source=pdf_text observed=2026-08-05T20:29:15.673556Z digest=sha256:d855cfed572c74e83c95d81f2b2523db20e2cfd6cf196aa4a6f5239bbb641e27

Observation b2f50b8e-1b6c-4339-bf76-4d07dd0bf327 · outbound

This paper cites Valiante, M.

Nonlocal Monte Carlo via Reinforcement Learning Valiante, M

Reference 51

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no resolver link, observed 2026-08-05T20:29:15.790039Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T20:29:15.790039Z digest=sha256:a8cce2dba6cf1f5e1a67fccb9b2d2be00fb884cfd0eb2ba6d3c9d66fef26fbb8

Observation 992d7642-40fc-46fe-b9dc-ea34006f6607 · outbound

This paper cites Dobrynin, A.

Nonlocal Monte Carlo via Reinforcement Learning Dobrynin, A

Reference 52

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T20:29:15.945405Z digest=sha256:baba394e97aeb2897bd2dcf0044e140c75869eaaa1e70b8f59ffd42f08da6de7

Observation 9e9d9d46-d754-4852-85cc-9bb419c9dcf5 · outbound

This paper cites Dobrynin, M.

Nonlocal Monte Carlo via Reinforcement Learning Dobrynin, M

Reference 53

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no resolver link, observed 2026-08-05T20:29:16.040020Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T20:29:16.040020Z digest=sha256:668befcdf0bfc1f77369c54304c1b11afd9413ac2b327c6be73fcb1af4b7e589

Observation 7632da5e-f04d-4618-a0ec-55612c67c1fc · outbound

This paper cites an unresolved cited work.

Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

Reference 54

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raw_fallback, observed 2026-08-05T20:29:34.793128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:16.158859Z digest=sha256:6ff71838f06844e96ceabf8089fb9eda873f7566d5756adfbc77ec403d834835

Observation a06b9286-8c60-45c9-88cb-33f2d1c72f9e · outbound

This paper cites an unresolved cited work.

Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

Reference 55

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raw_fallback, observed 2026-08-05T20:29:34.641234Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:16.240944Z digest=sha256:c7e73f93616081819b122956b8dc1b422a379b9dd990b83332e98b6bc2b53b02

Observation d1df8e48-4e6b-4dde-a85e-d22a645c7e18 · outbound

This paper cites an unresolved cited work.

Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

Reference 56

Resolution
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raw_fallback, observed 2026-08-05T20:29:34.431383Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:16.352812Z digest=sha256:54271a1add30dbe84bbbe254883151625294ff8f01c62fb9a0eee14f3ff8072f

Observation 606d637c-9654-42cf-b315-c0fa579208aa · outbound

This paper cites Heydaribeni, X.

Nonlocal Monte Carlo via Reinforcement Learning Heydaribeni, X

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:29:34.295946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:16.438728Z digest=sha256:764ce76694848ab42a401ceacd13bca59f2b2ce86aa3e24c2b1a214b32370e2a

Observation 14138cac-e474-4c97-9a3a-43f8cec7c89c · outbound

This paper cites Enhancing GNNs Performance on Combinatorial Optimization by Recurrent Feature Update.

Nonlocal Monte Carlo via Reinforcement Learning Enhancing GNNs Performance on Combinatorial Optimization by Recurrent Feature Update

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:29:23.730048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:16.551390Z digest=sha256:be676ef79c8c79348704751341bf7ae33a74e760e2a0fa215ff3429343e36be5

Observation a20ba2bb-8e66-4e95-bbf8-7de936dba686 · outbound

This paper cites Graph Neural Networks as Ordering Heuristics for Parallel Graph Coloring.

Nonlocal Monte Carlo via Reinforcement Learning Graph Neural Networks as Ordering Heuristics for Parallel Graph Coloring

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:29:23.577183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:16.651926Z digest=sha256:151e59a0482ed357e73149055ccca72b358d33604c7e13a19b8b0b69024fe042

Observation b823db24-d186-492e-9190-fdfeeb0d26a5 · outbound

This paper cites Assessing and Enhancing Graph Neural Networks for Combinatorial Optimization: Novel Approaches and Application in Maximum Independent Set Problems.

Nonlocal Monte Carlo via Reinforcement Learning Assessing and Enhancing Graph Neural Networks for Combinatorial Optimization: Novel Approaches and Application in Maximum Independent Set Problems

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:29:23.460960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:16.733100Z digest=sha256:898288f70cd88478c7da7b2d76fdf5e442c4dd423f002bd4f65a8f7e47acc619

Observation 5b820ab1-3d29-404c-8f89-dfd2dd6b3c60 · outbound

This paper cites an unresolved cited work.

Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

Reference 61

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raw_fallback, observed 2026-08-05T20:29:34.114211Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:16.843718Z digest=sha256:6568da2146f6325cc81a1fab494b93edc2ae336252db117a01faea5ed83b3baf

Observation a2b7270b-c83d-4993-9737-00ef6492adc8 · outbound

This paper cites an unresolved cited work.

Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

Reference 62

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unresolved
raw_fallback, observed 2026-08-05T20:29:33.961101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:16.926926Z digest=sha256:e38b2bee850e538203541cad27f3de939d1093e1cef83ef0d5fa3099ab42cc2a

Observation 62bee296-26c6-48ce-aee3-c6891f1d5d31 · outbound

This paper cites Boettcher, Deep reinforced learning heuristic tested on spin-glass ground states: The larger picture, Nature Communications 14, 5658 (2023).

Nonlocal Monte Carlo via Reinforcement Learning Boettcher, Deep reinforced learning heuristic tested on spin-glass ground states: The larger picture, Nature Communications 14, 5658 (2023)

Reference 63

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:29:17.036140Z digest=sha256:22d1204fd9597f983628d06b9dd03262cf09a6ee4f01b0315f651b29d235ad07

Observation 0dc17c32-a5d0-4887-bcb0-0f14c86dfc6e · outbound

This paper cites an unresolved cited work.

Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

Reference 64

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doi, observed 2026-08-05T20:29:22.561882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:17.075083Z digest=sha256:6fd9e1bb3a318d07336df5b0018a3acb2b760bca565c216b92b0039bf5de1453

Observation 6be8cf7c-76cc-4231-a82d-c263da0e41bc · outbound

This paper cites an unresolved cited work.

Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

Reference 65

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raw_fallback, observed 2026-08-05T20:29:33.761522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:17.117162Z digest=sha256:9c841fd963a5b82b704ec4cacb04b6b19a2677842eda763565d2545d5f6f61bc

Observation f5837525-a884-45c4-9a96-29a33fc36936 · outbound

This paper cites an unresolved cited work.

Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

Reference 66

Resolution
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raw_fallback, observed 2026-08-05T20:29:33.558439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:17.177318Z digest=sha256:583007062fb8b7f512253973502d60ca2a9b908cb7f19187a63a9eb83cba043c

Observation 66fc6cc2-5e68-47b3-81ce-86fe87a92a5b · outbound

This paper cites McNaughton, M.

Nonlocal Monte Carlo via Reinforcement Learning McNaughton, M

Reference 67

Resolution
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raw_fallback, observed 2026-08-05T20:29:33.391281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:17.256972Z digest=sha256:e3e597171237709a39ba2b186be539ce5f8035eda5bbf851c96c710a8c65fdd1

Observation fee92964-4683-439b-a770-c5b7d31bd66e · outbound

This paper cites an unresolved cited work.

Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

Reference 68

Resolution
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raw_fallback, observed 2026-08-05T20:29:33.052183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:17.380969Z digest=sha256:0b45b42c0ee5b30b468fe560fd6b7be504b3dd599438435104f01dbe0a5ce152

Observation 76fba909-c027-492f-bd02-b0b34e5c7d3c · outbound

This paper cites Hibat-Allah, E.

Nonlocal Monte Carlo via Reinforcement Learning Hibat-Allah, E

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:29:32.820098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:17.485194Z digest=sha256:686a613db053e686d93616c744f99af4aa434276512079943dc01dbaafae0785

Observation 7a6246d6-5419-47fa-a2cd-7b599461412e · outbound

This paper cites Ahsan Khandoker, J.

Nonlocal Monte Carlo via Reinforcement Learning Ahsan Khandoker, J

Reference 70

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verified fuzzy
raw_fallback, observed 2026-08-05T20:29:32.635265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:17.585579Z digest=sha256:4e029075c1c279ce451220fdb6aa98326ea10607a266d525e5ffe1c14785e8ab

Observation fa58c638-a9ea-4b99-a5f7-6938ddeec2de · outbound

This paper cites Sanokowski, W.

Nonlocal Monte Carlo via Reinforcement Learning Sanokowski, W

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:29:32.459216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:17.689700Z digest=sha256:79678ee02e75f9f2ce49b2f3ffd11c87bc83c5b2bf320c86533f7e00ad8849c8

Observation 42221ca5-6018-4f0e-ac8f-27fbd413b2b3 · outbound

This paper cites an unresolved cited work.

Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

Reference 72

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:29:32.158843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:17.759222Z digest=sha256:b37ea37c55fc0000817d7fad1b5698eccd36153adf35fbd1796df500bd2203e4

Observation 0d58e6de-3049-4ea6-8ade-52bad6fadebe · outbound

This paper cites an unresolved cited work.

Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:29:31.894877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:17.870681Z digest=sha256:3291e8a5ca924ec7d39dda24b6f31c4b4f59210ba5c36b467a6f90626a12245e

Observation 7fcf0ed2-f33e-48aa-951b-b056592ade61 · outbound

This paper cites Biazzo, The autoregressive neural network architec- ture of the boltzmann distribution of pairwise inter- acting spins systems, Communications Physics 6, 296 (2023).

Nonlocal Monte Carlo via Reinforcement Learning Biazzo, The autoregressive neural network architec- ture of the boltzmann distribution of pairwise inter- acting spins systems, Communications Physics 6, 296 (2023)

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:29:31.683459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:17.976666Z digest=sha256:c0e453bd69d30c7973a0658864aaa422a0c4de3bcd137ed29c3e23564ed6d32b

Observation 962a80e7-56ca-49a6-a7aa-32c873c1ee05 · outbound

This paper cites Biazzo, D.

Nonlocal Monte Carlo via Reinforcement Learning Biazzo, D

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:29:31.460234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:18.089483Z digest=sha256:c2f39e2818ccee75277eb0cbf56bc335e6d72b557a88abcdbe2eda4dc5789d4e

Observation b9e366ce-e3ef-437a-9ab9-31ff70ed08f7 · outbound

This paper cites an unresolved cited work.

Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:29:31.261241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:18.217786Z digest=sha256:c98c92fe738d22868303612e4cdb3473dfe5bf5ff07f14f8272a8b36b97508ee

Observation 9086ea54-bc7c-4aff-aeca-b559284a1fa3 · outbound

This paper cites Ciarella, J.

Nonlocal Monte Carlo via Reinforcement Learning Ciarella, J

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:29:31.140252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:18.292066Z digest=sha256:d053abb633184cba70194a6907390b10c65350773b0a4e76fea95e97fb69189f

Observation e57e3219-e591-406f-b970-42ac7105676d · outbound

This paper cites an unresolved cited work.

Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-05T20:29:18.370361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:29:18.370361Z digest=sha256:abb4598dfced761227e64b95d72a6c1bc23b44d13ece2339abf30c8f5e9c04e2

Observation da11805a-4181-4eae-858d-f8fcd3da11bf · outbound

This paper cites an unresolved cited work.

Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

Reference 79

Resolution
verified exact
raw_fallback, observed 2026-08-05T20:29:23.301926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:18.452157Z digest=sha256:021b4b85a46a1f2cbf7d83099ee863d42342876b19f97ee9daddc59d54270025

Observation bf43063a-95ff-4b8c-aa90-5baf327571a2 · outbound

This paper cites an unresolved cited work.

Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

Reference 80

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:29:30.984850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:18.595149Z digest=sha256:798ac7facf5b0273e2eafef633c4f62bdd58767ce0e5d1d408c80b047b2e516d

Observation 9ce50e5b-0486-4dcc-987f-cb3d1b25962f · outbound

This paper cites Bybee, D.

Nonlocal Monte Carlo via Reinforcement Learning Bybee, D

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:29:30.853913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:18.687273Z digest=sha256:1a05886306c5139b1e3a9e9243d5c1f7a56e55ac28d7237c9d79c8c6186e586b

Observation fb186ab7-ea95-42fd-aaa2-47b1d128f29e · outbound

This paper cites Sharma, M.

Nonlocal Monte Carlo via Reinforcement Learning Sharma, M

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:29:30.700078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:18.761421Z digest=sha256:d69b19ba38e18c5287e71038f705be42080805c4018669ae2d8945cdb3f0e645

Observation 8b20d811-9b99-40ae-9692-867882448736 · outbound

This paper cites Bhattacharya, G.

Nonlocal Monte Carlo via Reinforcement Learning Bhattacharya, G

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:29:30.502135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:18.864058Z digest=sha256:3e5ee611f0e575e85fab39551a5770bfa6bdfc905831b76865e01c78ff621fd5

Observation 44e1bbf7-584f-40bf-91f3-541af71b89c1 · outbound

This paper cites Nikhar, S.

Nonlocal Monte Carlo via Reinforcement Learning Nikhar, S

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:29:30.352891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:18.943164Z digest=sha256:17d483e807f2e76afc55c876301610b5aad72ca6b1b8492d0dd61d0fd8b4105f

Observation 8997d7f4-b9cb-48d2-82ab-6679fde87960 · outbound

This paper cites Pedretti, F.

Nonlocal Monte Carlo via Reinforcement Learning Pedretti, F

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:29:30.175190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:19.021808Z digest=sha256:f97be59c9f5506ae522d232b3482bc69db99c7c790822e318156f702818c9bd1

Observation c42de187-6400-40bb-87b6-97c6eeedf2c4 · outbound

This paper cites an unresolved cited work.

Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

Reference 86

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:29:30.033155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:19.112734Z digest=sha256:00d4ba2c3222610e0cba90223e9d75f59fe18ac232af944771fd833d538e4bc8

Observation 4de37a09-c7be-4b1c-bea7-f409ee59bd66 · outbound

This paper cites Marino, G.

Nonlocal Monte Carlo via Reinforcement Learning Marino, G

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:29:29.873069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:19.204070Z digest=sha256:e495e9fa320556aadcf6fd18f38f825f3e747a5a85cd23eeb32fef4b69b65630

Observation 6b4c616e-1302-419c-b722-55ba9e7483a0 · outbound

This paper cites Gamarnik, C.

Nonlocal Monte Carlo via Reinforcement Learning Gamarnik, C

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:29:29.690888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:19.323292Z digest=sha256:63574679b56811262d71a172f81874c68c66e154953ce1d51d191e63c564598f

Observation 6b561096-1b74-429f-83a4-2f42eda4acc7 · outbound

This paper cites Karimi, G.

Nonlocal Monte Carlo via Reinforcement Learning Karimi, G

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:29:29.544579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:19.402089Z digest=sha256:7feccc1beae7c281924c3019fdab9ba4cd5572ea7b07b292c97258e24499893d

Observation 9a82ab20-e8f4-41c8-959d-8cdccd7b58a5 · outbound

This paper cites Bravyi, A.

Nonlocal Monte Carlo via Reinforcement Learning Bravyi, A

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:29:29.379483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:19.535118Z digest=sha256:2b32ccdff13187ec4180066ded305d78f0894bcc2f43428b5e9eec8ccdcb134b

Observation e74339e7-8a1e-40b6-ad38-5e286ed1aee7 · outbound

This paper cites Bravyi, A.

Nonlocal Monte Carlo via Reinforcement Learning Bravyi, A

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:29:29.184616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:19.630405Z digest=sha256:808a432135e985da2f40064cf6233adc32c1e4bd876957d2dc11cc488decc38b

Observation 805546e8-51cb-4880-bac1-04fb7ec83598 · outbound

This paper cites an unresolved cited work.

Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

Reference 92

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:29:29.006546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:19.740828Z digest=sha256:807357ff0f22da6b1748d58498802e1143e4c9b4f7ceb42ee7cc6e16b3ab389c

Observation a2df7086-80d4-412a-a425-c2e2fa933221 · outbound

This paper cites Bradbury, R.

Nonlocal Monte Carlo via Reinforcement Learning Bradbury, R

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:29:28.824612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:19.849907Z digest=sha256:1b994793f0c24166b991e6b861d40d8322802e4dfd11d8ce34637eef5d5ca7d3

Observation a1b72aa9-2cf1-446c-a3a0-8a5d0bda11d5 · outbound

This paper cites an unresolved cited work.

Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

Reference 94

Resolution
verified exact
raw_fallback, observed 2026-08-05T20:29:23.120970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:19.930081Z digest=sha256:ff8811f11c189914e4f02338a2820c64c1255038fb74b7ad42165196fec77415

Observation 854fafc6-f2dd-4dc1-8eba-981faa195f94 · outbound

This paper cites Biere, A.

Nonlocal Monte Carlo via Reinforcement Learning Biere, A

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:29:28.649242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:20.039552Z digest=sha256:ab7a04c853eebbd32f0f062a8b05d002e2ba0033f8c9d613dd74bc1388ff9d31

Observation 5cb948ca-6072-4ab9-960e-567983b7ff7c · outbound

This paper cites Huembeli, J.

Nonlocal Monte Carlo via Reinforcement Learning Huembeli, J

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:29:28.490771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:20.115558Z digest=sha256:0c9427044dc2192ab9081d000fb3dc36f5215343362ee3bd5f3383249917b70b

Observation 9b05eec3-a92f-4589-93f3-73099ba1ef31 · outbound

This paper cites Niazi, S.

Nonlocal Monte Carlo via Reinforcement Learning Niazi, S

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:29:28.300703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:20.217260Z digest=sha256:fb6a19cb2b97086146b86609985bb07d95e614f57977efc72ac3cd38699cab06

Observation 8682f84b-1543-4a2c-8609-2909ec82fbbb · outbound

This paper cites Chowdhury, A.

Nonlocal Monte Carlo via Reinforcement Learning Chowdhury, A

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:29:28.149354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:20.327083Z digest=sha256:b014e8aadb085ecf5ac96a7909b36a7242c19526df1b3502772bdab199beb7db

Observation 9f130535-f850-4717-9449-e3b4627d779f · outbound

This paper cites an unresolved cited work.

Nonlocal Monte Carlo via Reinforcement Learning Unresolved cited work

Reference 99

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:29:27.985137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:29:20.438968Z digest=sha256:9a0496a07919cd211e388d1adf6fcc92d824771fe2a2f219c1f753e59b81bb8f

Observation a2687877-93ff-4ea1-b4d3-be112d951401 · outbound

This paper cites Chowdhury, N.

Nonlocal Monte Carlo via Reinforcement Learning Chowdhury, N

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-05T20:29:20.550053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:29:20.550053Z digest=sha256:4c13f7d9e76512db6cffe850e9d7052212e4c013319ac481a1020e95e410871d

Observation dcbfa5b8-e556-4bb2-ac80-961514b8a75f · outbound

This paper cites How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits.

Nonlocal Monte Carlo via Reinforcement Learning How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-05T20:29:20.636239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:29:20.636239Z digest=sha256:c9151e4f711e07b23a2c21f49fc94b1ed81933ae83363b9ed06acdf1936a2ba6

Pith citing papers

Observation 1c581231-745a-4bf0-854d-8300b85a0432 · inbound

Demonstrating Real Advantage of Machine-Learning-Enhanced Monte Carlo for Combinatorial Optimization cites this paper.

Demonstrating Real Advantage of Machine-Learning-Enhanced Monte Carlo for Combinatorial Optimization Nonlocal Monte Carlo via Reinforcement Learning

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:55:54.375639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T04:53:10.425398Z digest=sha256:a9efd1f209872177e7fabd939356897999a6509d73d60ca8a2d8baba4b636d67