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Paper Citation Record · LEDGER

Nonlocal Monte Carlo via Reinforcement Learning

As of 8 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 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

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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Observation 689ed1d3-358f-436d-ac38-72207e1ddade · outbound

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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

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Nonlocal Monte Carlo via Reinforcement Learning freezing

Reference 6

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Observation 7ce90654-cd0f-400c-8035-ab3790bc5cd1 · outbound

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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Observation 8ddb70b4-214b-4400-b3c9-acf7a7299a49 · outbound

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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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Observation bef1cf15-6404-4a7d-b838-005299e00efe · outbound

This paper cites back- bones.

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

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

Reference 24

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Observation b10c3081-ab09-4716-a68d-93b55720e21d · outbound

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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Observation d595fe8e-625f-468c-b109-6d54062585a9 · outbound

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

Reference 33

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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:cbb5eff5a8c20dcee3ec10b6e69feb981fed732e4d891176df368f3137bcd1b2

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=sha256:3642ddf5712f6b29dd65dff97afe5aeab7e43cb47e9e54c20919797cc98375bb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:14.849531Z digest=sha256:857042a2c0deb71159993b3c0b05b14bd696c45958af0d299294e0e9ff59b55f

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:c0ec1c193cba48b184a57203d15250b23d58b43dd1e1f85682cafdd535812d1d

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:15.150638Z digest=sha256:272e97a42d4b93ab6387904731377960f77addfa16a77f1bf2cecec7a430c372

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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no resolver link, observed 2026-08-05T20:29:15.277179Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T20:29:15.277179Z digest=sha256:7d9d6f6081a42b277865192cf1677a7b111ea60c59f8ad68a939849240b09d31

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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no resolver link, observed 2026-08-05T20:29:15.435641Z

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source=pdf_text observed=2026-08-05T20:29:15.435641Z digest=sha256:46f8677a2db8c5e2fc76bc6b6e1042ac3c961811defe45a74e66ba330715ad4f

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-reported events for the cited work

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source=pdf_text observed=2026-08-05T20:29:15.559526Z digest=sha256:507677e3882f61d98f89737cab500c39db510729728da25b4e814056e126aeff

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:b6648e7c09a95a700ae71082b554a0075fec0e32c0b6d70a226aa727f6edeb73

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:e7d0e75fafafcc8bd8c6c6705ee7e1a951f51e7506beaa326a701524228d91c7

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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no resolver link, observed 2026-08-05T20:29:15.945405Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T20:29:15.945405Z digest=sha256:5e10d9831c9ea6ca7d0a7f8cf73bf82c285733f37ea7bae2b1163189c4a853a1

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=sha256:2331dc79a7292b2f697240948033c913bea59806005c46f3555f55145ec1f3a4

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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unresolved
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:16.158859Z digest=sha256:1a36de13331e4982d6df113089d4844bb0400af5465168a33398285f2cbe9370

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:16.240944Z digest=sha256:2333e9751804e614d819da105afaad4f9916c1f6636c8255b2562694f476058b

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T20:29:16.352812Z digest=sha256:876a89f4c2d68e8b79447c5b0b53d85ed338de21258bfb39683978cf9b2e68c4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:16.438728Z digest=sha256:1f470ec0ce6c3cd6a43b15ff5bb32e7569fa6c07ef1374ceb8e46031147ece44

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:16.551390Z digest=sha256:afe18a88e1c0d8c013ab654c4627411fa1386e82108a4ce3375058fd29b679d9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:16.651926Z digest=sha256:2e3dd67c6516b11b26e966ce92985ff7502886dff78b1d2410ddd33bdebd2e6e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:16.733100Z digest=sha256:1cbe4f24e7688c77d8daf40dbcc69abdf20a3e81777ff385ce32f17286299f72

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T20:29:16.843718Z digest=sha256:aca666d8209355736163b42e328d6a98579ce8a72608489e2f59498fc8d7c7d3

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:16.926926Z digest=sha256:ba6a2f66a069281e7633067a275be6a903982329af9bab6c3672ed31e97578ac

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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no resolver link, observed 2026-08-05T20:29:17.036140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:29:17.036140Z digest=sha256:7029c8102bbff112275a67b093c0d72d300ef9095ff1c29d80bcc8c84a1a7e11

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

Resolution
verified exact
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:17.075083Z digest=sha256:853095d9369f6fe89c6da9dcc9f0e03f0bda38dc3408a3c4b8c3504299314475

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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unresolved
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:17.117162Z digest=sha256:456986e7271ac1e341eb74ffa9a6a4dee6d8ec25c4aed0b89baadf2cd9f410af

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:17.177318Z digest=sha256:51a8ebe934a8ebec4ac7c1327ef10a03c5061e3cb3aff1108f07bf46b2a6381c

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

This paper cites McNaughton, M.

Nonlocal Monte Carlo via Reinforcement Learning McNaughton, M

Reference 67

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:17.256972Z digest=sha256:e43a997a72a0a95cb55c607876f2fb7392a71da6ce7efd7cb1cedac1723aba03

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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unresolved
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:17.380969Z digest=sha256:2dd47a88129853bbb6f2383bff6d8cf52c2f803e84ec9fdc6e6d972ee5fc7006

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:17.485194Z digest=sha256:79140d033a27a37f29449057bd91def73a863f06f9df38d360086c97376f6d78

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
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:17.585579Z digest=sha256:9dbf86480b6289e46bad7003fe38b96a575e5b35db15bb052f64a709d1d7562d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:17.689700Z digest=sha256:93db0dba43f4086d16f536cccec246d2c918f4cf3c5c9f3fb42e153fb8693dd2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:17.759222Z digest=sha256:d77f987bd40e761069daade92dcf1cc70066ccaf4d31fec4ca6ec1aa0931ee18

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:17.870681Z digest=sha256:61c6152ed0943d080863745330690e0441f65bbcac55679cddad06ba48ec54b8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:17.976666Z digest=sha256:78ad0949a852c5a0d20edd25ae86aad6cae28ef142f1b8e0ca785c8e6697aa2b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:18.089483Z digest=sha256:097bcc01aa808f0e896545f40f3039aa223dad12c7dd71a74a6449aed77cacc7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:18.217786Z digest=sha256:652880eb0f748b754785524e647879162bcbbb7d906a6e85d3a234fad06cac94

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:18.292066Z digest=sha256:16e738a05f65c05eb1fb039633a129094f887884e85fbca7035a12f05520cb44

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=sha256:22cebabed65ec6770ea3b43aa957e0df9cc18869aeb7842e606f0f1816f9f43f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:18.452157Z digest=sha256:cec0c2e10555d362e2a518b14c049deadb0078e2539d56a302026897c27d5697

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:18.595149Z digest=sha256:88fba7912fdbb5eedf6195b57348ba67b2745b6bda5f567d67d6e666ca48930d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:18.687273Z digest=sha256:84a4dd7dad257d7471b378a5cb5a86ab8e1a76386a0af0abd8c30906bce1d4f8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:18.761421Z digest=sha256:5bfd0d1f23fb85fa74e0f76576a81c4831bf47fd3dfece0b44c94e7a016c7610

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:18.864058Z digest=sha256:37156f221e12e7a0a69ca6607ff51b9de3f54fba09bd6fdf4559bb849cc8e3a8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:18.943164Z digest=sha256:d9c42717e3e991e037e8a35f270792964db0c2b06870b96454e6f2ccc57e8c50

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:19.021808Z digest=sha256:63d0c6eb6708186c3a49f5c901d991b471f15e0146a23c7cfc548319bbfb391b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:19.112734Z digest=sha256:1a47bc49e589b30ec7dca897c07bbdaebe297d36fe1fcc2c2e2f5612522a5c30

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:19.204070Z digest=sha256:70a88d704c2b7e4dfd12df2b2b42e8d75016d9829f06409d7c44c892fc1f6a69

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:19.323292Z digest=sha256:98c590e93b8d68d8a4892f13388a92ab0dc67690a0556cac95238051e428bc70

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:19.402089Z digest=sha256:480658b0e60114ce7dc2f906c6c16d620d134bb088cafe57efcb4a38059b717c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:19.535118Z digest=sha256:955adfc0451f71dd63a9aff4c0036a8317d6c9cefc63706fe3180a6073967f35

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:19.630405Z digest=sha256:d6a8fcb9680fac2eff2942a690c053c5b5fdb80f06d5cef0897db46f381531e9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:19.740828Z digest=sha256:f20efa878e6bb3736009331fbbee55a26a0aaa53226d1bd8c8ebbc0fdf8e4e50

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:19.849907Z digest=sha256:4d0b378723d41cfdac1f33301ca755392d6739c9a25a50aab9896cb92ffc845b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:19.930081Z digest=sha256:6dcc54280a4d2429fc6c95fc94c8cc19dc462ca012c98dfd0932fa57ee5a1708

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:20.039552Z digest=sha256:89b0057d7ea74dae5b10e3efd08ddd178c6141b7a6de361f5d4fc6127cf11a35

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:20.115558Z digest=sha256:507c54cb3a6bed29a9bf9eebfbbb557e0fba7e57e65534829da4ee4c58ea26e7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:20.217260Z digest=sha256:87b9bf2dca26dfe535bab38af0095502640a1a9b6eac57c81beabb2b96133394

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:20.327083Z digest=sha256:d7e77d32ea68514f2ec5f6d77dba347c24ab529124e3c78eea84a3a45eae2a05

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T20:29:20.438968Z digest=sha256:04d82dfbe70f123c97a3858780d9ed1e9f2477541fc2b1d60f252e13a3030972

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=sha256:40944228125d63e08f700452fdab28cdc3270c1857c6bf5cef16e8ae77fcfcd2

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:f020a91f18b90e00f821c67dcfc1b68f987bb0dcdcc6646afb3a4dc73241d780

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T04:53:10.425398Z digest=sha256:608db75cb8336e755065d3332f1ec42bbd6972f19db09f6c1bca47a268a2ef67