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Paper Citation Record · LEDGER

Nonlocal Monte Carlo via Reinforcement Learning

As of 20 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 2026-08-20T06:33:59.587034+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

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

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

Reference 29

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:14.849531Z digest=sha256:e492979c375bcfb41996e465be18aa136cadef28006012ac072fc4d4e9d8e24a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:15.150638Z digest=sha256:c1e733f7ad6c2df25fccabba08f72aef1aba1e088f90acb2c450b47e41e21d3d

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-reported events for the cited work

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source=pdf_text observed=2026-08-05T20:29:15.277179Z digest=sha256:1217edeb109b7cf878f1d2ad3385184cff5f79bde5cb2b399a5c44c1ff8cebe9

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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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=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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:16.158859Z digest=sha256:3aa4b0abc2a7660506a74e2dd2852ba66b7c206b0bf546877b5acadb3b7549ea

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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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:16.240944Z digest=sha256:112f84ed2b0cfa04b2b3d366066320478f2b0670d3682220d34edccdc284faf8

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:16.352812Z digest=sha256:659238fb849060d7d1e37d71c137f6c12734c6e3a6b71f22e60f9857b3928129

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:16.438728Z digest=sha256:1fa5b51052d33eb81855d8a639a668a1f02d29b6794ca0661d92bf8c605c399a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:16.551390Z digest=sha256:2cfdca31156406fbb8f058d9fd77a344399173b1d2557a96452b65b89cfd29af

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:16.651926Z digest=sha256:ec3f779e4eb62edb7851be11f13a3bb75ccb01ba178f657a092cffa682fca48f

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:16.733100Z digest=sha256:172cd827178ba4c107120fd6ee195a2136f025477519c18b29301aacdf60a9c3

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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:16.843718Z digest=sha256:840010263b9ab2332cc6f5ee36649f294b3b94147b62f0123baed37a242eae4e

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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:16.926926Z digest=sha256:fb16a5ccbd83f481dd58200dcc7839a61a7b73ecbae28ed88ed0c3992dd49fa5

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=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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:17.075083Z digest=sha256:e9063e2a2a6de18b712f3ebbfa1310fb0cea638e769c221e502e8f9d75a6702c

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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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:17.117162Z digest=sha256:aa71dd43db79d3947cdcfc3bd5d0808092eef85c4b19c28752c4d0a817578cfa

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
unresolved
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:17.177318Z digest=sha256:e6936563411571964aca790aa6c423fb18931f9c36119b5adb737f72d2c90b9e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:17.256972Z digest=sha256:1f7ded46bc62e041691d26f33f94e7e442555b33ee1b284f2f3980f85d6467da

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

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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:17.380969Z digest=sha256:453686bbaa2a445a57fabd0825307935fd91866823d7c4334ebcc822542cb74a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:17.485194Z digest=sha256:2218f251e685277bad0ebc954cabeb3e1c3ab4657f15f894afe1e4515e415ebd

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

This paper cites Ahsan Khandoker, J.

Nonlocal Monte Carlo via Reinforcement Learning Ahsan Khandoker, J

Reference 70

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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:17.585579Z digest=sha256:327f705dc6bd5f62b675180bf64a7dc0738c4433e390a6ca86ee4096773c2fc5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:17.689700Z digest=sha256:8b45c2498099bbfee7343472d182d14256a0701b257e42b7d54e441a15878e08

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:17.759222Z digest=sha256:c2fb1ac7812525c36d0c7774ef547674021f103c83d21af9c891b7768f97bde9

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:17.870681Z digest=sha256:189f682d7ab6c40dc8a5ed77aadd1094daeda51ac969d7211cb3ef3bd3cbe87b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:17.976666Z digest=sha256:23c6e0910e4fe844095042229c3008a7a24dc956c92e91ee03c3d3b78dfa983e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:18.089483Z digest=sha256:14cc86fca1462ce25be0677c28f96d973e58d034d3c3798e1cbc4dbfc3330ccb

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:18.217786Z digest=sha256:ebb161bc633c3d318608c5009efc5f5f9c702564e39ec88cb79d78e2a01bfb1e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:18.292066Z digest=sha256:8ee4bffdd98e8403fa4d3837e110d1e23fceff7813542db07f5464f6eccab45a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:18.452157Z digest=sha256:d8b13f41a4371371f4cc715d8b920f9444cff55f5bd38fa2ee2685c657250609

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:18.595149Z digest=sha256:b742e1712c6b124a1d05d24fe77c3848a56eaa15f055eb9f17bae83560a5ebcf

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:18.687273Z digest=sha256:d6ddc01323835a666ee04c4069e9c00d1131a027b3fbeb666d30b98d8f7aa4d9

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:18.761421Z digest=sha256:5c87b3845c474089c7f179e6d856a65d22512e61cf8372b484a8dc99100853c8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:18.864058Z digest=sha256:561925a41d07ea68ec1b1bf4d8fe2a18680d9d7dc267091be3506857e9eefc6d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:18.943164Z digest=sha256:7292df1fe04fc24cbc955a6b549976059b98bf732140d44a8eb3ced955c88e59

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:19.021808Z digest=sha256:c070601baf7a7d8763082f9d18fffd271edc3f25802c1af24214aa878bd60f92

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:19.112734Z digest=sha256:112bbb4e8988dd635633b7537675e9b43a138ee0adf901cef145a41932080eac

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:19.204070Z digest=sha256:9f16acd8ce01252c01834d8901c53a69a0148cdc721b2f0018aacc89bcffcd6b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:19.323292Z digest=sha256:34468742c48b1263932e1e73b9423a5a6d4fbbdf3a50558a44655e0fb4c27976

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:19.402089Z digest=sha256:273dd1e0ffc6b3c275b93b6914d86b8c68ddf2267bd6e9aa6f54ce04e529262d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:19.535118Z digest=sha256:dad19c37d52bcd609aff7be8fc571e661e205c10746916c00a1e4852db47e817

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:19.630405Z digest=sha256:68fba04cc608e89439c2d6c3beada8feef92765a83dace5f81689a05caf6d418

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:19.740828Z digest=sha256:5b1038b3c8d7a5acb5ca99c55d2dffa88268b0a4b4f47865960a7bb836648f63

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:19.849907Z digest=sha256:85e5ef42a22b4875173404186acf5513a5bfb58b16ebc67ada50837501c1d585

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:19.930081Z digest=sha256:91868fa19b2ab8fc058c9c0c2d7c743575c7e3f44defe28de7eda77833026ba8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:20.039552Z digest=sha256:3b35ca7d34092aab04ad2797c2d8f226f0aa4fe2d16630f4c652341e35273c7c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:20.115558Z digest=sha256:6498c8f80b7719235271893533c7fc6117ad9077a2a40f200402f8963c2043df

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:20.217260Z digest=sha256:a168b7e39524299f491913f1619c78e6080bb0890b81e4599dfa0633c7a6c0e5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:20.327083Z digest=sha256:8aae4d5cdb7ac59806cfe3ddacbc9f2ebe0cc2dc91631d9ce5bfae79df5a0ac5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:29:20.438968Z digest=sha256:114d99c99b33796e0ebce4d7f6cc388acb54e29e8ace7f92882b5b047c83c048

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=sha256:0c6c757d2e95a611c5b437212c4e63be25f846b25d965af7540dfea01495ab1b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-18T04:53:10.425398Z digest=sha256:70aa7008032266e662b5a000fd313cb1480081f9e3d6d70c91b2d3cf5f3ef947