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Paper Citation Record · LEDGER

A new probabilistic approach for mean field games of optimal stopping

As of 22 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:2607.21062.

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

pith.paper-citation-record.v1
2607.21062 v1

Coverage vector

measured 54 of 54 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-01T08:48:07.304912Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:47:37.981469Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T14:47:38.082204Z

Reference resolution

54 of 54 outbound references displayed

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Outbound references

Observation d4868d5c-6e7e-4b5a-abe3-462e4ff4235a · outbound

This paper cites Acciaio, J.

A new probabilistic approach for mean field games of optimal stopping Acciaio, J

Reference 1

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Observation 0ff73239-8a13-4df8-989f-a7df8618d000 · outbound

This paper cites an unresolved cited work.

A new probabilistic approach for mean field games of optimal stopping Unresolved cited work

Reference 2

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Observation 3410847b-5509-40c1-882f-83a7249578ba · outbound

This paper cites Linear-quadratic McKean-Vlasov stochastic control problems with random coefficients on finite and infinite horizon, and applications.

A new probabilistic approach for mean field games of optimal stopping Linear-quadratic McKean-Vlasov stochastic control problems with random coefficients on finite and infinite horizon, and applications

Reference 3

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Observation ebc00ea3-0dea-447f-a100-287096733b46 · outbound

This paper cites Bensoussan, J.

A new probabilistic approach for mean field games of optimal stopping Bensoussan, J

Reference 4

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Observation c2e03cbb-d3f7-4234-95eb-2f0cff334eb9 · outbound

This paper cites Bertucci.

A new probabilistic approach for mean field games of optimal stopping Bertucci

Reference 5

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Observation 6faf930e-3741-43d2-ac39-fa1fdb32453b · outbound

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A new probabilistic approach for mean field games of optimal stopping Unresolved cited work

Reference 6

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Observation 8e788658-8332-4047-8ac7-949d07905448 · outbound

This paper cites Bouveret, R.

A new probabilistic approach for mean field games of optimal stopping Bouveret, R

Reference 7

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Observation c4db6818-d091-4263-86d3-e71dd73ce3ec · outbound

This paper cites Br´ ezis.Functional analysis, Sobolev spaces and partial differential equations, volume 2.

A new probabilistic approach for mean field games of optimal stopping Br´ ezis.Functional analysis, Sobolev spaces and partial differential equations, volume 2

Reference 8

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Observation bd8536f4-980b-41ec-9df5-ac909a021aa5 · outbound

This paper cites Cardaliaguet.

A new probabilistic approach for mean field games of optimal stopping Cardaliaguet

Reference 9

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Observation 25122b59-0c82-458c-8f99-ef24bd898501 · outbound

This paper cites Cardaliaguet, J.

A new probabilistic approach for mean field games of optimal stopping Cardaliaguet, J

Reference 10

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Observation 4bd3f022-ad07-4dc8-bf6a-88b9eb16fa14 · outbound

This paper cites Carmona and F.

A new probabilistic approach for mean field games of optimal stopping Carmona and F

Reference 11

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Observation 917db3eb-7fae-4a40-96fa-fa7327cff24b · outbound

This paper cites Carmona and F.

A new probabilistic approach for mean field games of optimal stopping Carmona and F

Reference 12

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Observation d9aa6acc-2c3c-4a60-b4ae-3d8a221f403b · outbound

This paper cites Carmona and F.

A new probabilistic approach for mean field games of optimal stopping Carmona and F

Reference 13

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Observation 0f92ecbd-fb80-4de3-adb6-d25e933f485e · outbound

This paper cites Carmona, F.

A new probabilistic approach for mean field games of optimal stopping Carmona, F

Reference 14

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Observation dfb2b874-6500-40af-b95b-7818d202c7e5 · outbound

This paper cites Carmona, F.

A new probabilistic approach for mean field games of optimal stopping Carmona, F

Reference 15

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Observation d137dc9b-ccd9-4fa9-b3d8-574e433c50f8 · outbound

This paper cites Carmona, F.

A new probabilistic approach for mean field games of optimal stopping Carmona, F

Reference 16

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Observation 044c5d51-53c6-4a8d-afdc-39fef905745e · outbound

This paper cites Mean field optimal stopping with uncontrolled state.

A new probabilistic approach for mean field games of optimal stopping Mean field optimal stopping with uncontrolled state

Reference 17

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Observation 4d9c399f-cb8a-4d8f-a0a0-190268634a2b · outbound

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A new probabilistic approach for mean field games of optimal stopping Unresolved cited work

Reference 18

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Observation 06dcdb08-b705-4b56-b363-5c1d02fc4bc8 · outbound

This paper cites Dianetti, R.

A new probabilistic approach for mean field games of optimal stopping Dianetti, R

Reference 19

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Observation 32a8ddc8-6c24-42d9-86cb-13e860d01641 · outbound

This paper cites Dianetti, G.

A new probabilistic approach for mean field games of optimal stopping Dianetti, G

Reference 20

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Observation 3580aa57-a12a-46b1-82d9-85a54fdc39f2 · outbound

This paper cites Djehiche and R.

A new probabilistic approach for mean field games of optimal stopping Djehiche and R

Reference 21

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Observation cac45ed7-a4a5-4e55-8890-9291112e6f6a · outbound

This paper cites Mean-field reflected backward stochastic differential equations.

A new probabilistic approach for mean field games of optimal stopping Mean-field reflected backward stochastic differential equations

Reference 22

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Observation e84bf296-0b67-4533-b1c8-6d7bb532ab26 · outbound

This paper cites A propagation of chaos result for weakly interacting nonlinear snell envelopes.Stochastic Processes and their Applications, 188:104669, 2025.

A new probabilistic approach for mean field games of optimal stopping A propagation of chaos result for weakly interacting nonlinear snell envelopes.Stochastic Processes and their Applications, 188:104669, 2025

Reference 23

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Observation 885d7915-38d1-405a-9df9-5292af6761f8 · outbound

This paper cites Dumitrescu, M.

A new probabilistic approach for mean field games of optimal stopping Dumitrescu, M

Reference 24

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Observation 84e38793-6b97-4239-bcbe-8816898728c2 · outbound

This paper cites Dumitrescu, M.

A new probabilistic approach for mean field games of optimal stopping Dumitrescu, M

Reference 25

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Observation 53a5c603-1572-40a0-a14a-e0e4e7f16091 · outbound

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A new probabilistic approach for mean field games of optimal stopping Unresolved cited work

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Observation 2141c7d5-f4df-4a90-9092-e6dcc95b3cfa · outbound

This paper cites El Karoui.

A new probabilistic approach for mean field games of optimal stopping El Karoui

Reference 27

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Observation 22cd752c-d9b9-4522-ad5c-9363d6129135 · outbound

This paper cites El Karoui, C.

A new probabilistic approach for mean field games of optimal stopping El Karoui, C

Reference 28

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Observation eab7cf8b-03a6-42af-81bf-931a4649df6d · outbound

This paper cites El Karoui, J.-P.

A new probabilistic approach for mean field games of optimal stopping El Karoui, J.-P

Reference 29

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Observation 2bbe1ed7-6af1-4f26-ab1c-ba71cdb3a6e7 · outbound

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A new probabilistic approach for mean field games of optimal stopping Unresolved cited work

Reference 30

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Observation 3418381a-c107-42b9-a447-b6ff1fa4e3d6 · outbound

This paper cites Existence of Strong Randomized Equilibria in Mean-Field Games of Optimal Stopping with Common Noise.

A new probabilistic approach for mean field games of optimal stopping Existence of Strong Randomized Equilibria in Mean-Field Games of Optimal Stopping with Common Noise

Reference 31

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Observation a9440a66-9e35-4ddb-b982-0c549f497a13 · outbound

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A new probabilistic approach for mean field games of optimal stopping Unresolved cited work

Reference 32

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Observation 11c3349f-5c39-4a9f-a3a2-8e8ba70db066 · outbound

This paper cites Continuous-time mean field games: a primal-dual characterization.

A new probabilistic approach for mean field games of optimal stopping Continuous-time mean field games: a primal-dual characterization

Reference 33

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Observation 11a1005d-c4e4-48a6-b2a7-33963488c6e3 · outbound

This paper cites Mf-omo: An optimization formulation of mean-field games.SIAM Journal on Control and Optimization, 62(1):243–270, 2024.

A new probabilistic approach for mean field games of optimal stopping Mf-omo: An optimization formulation of mean-field games.SIAM Journal on Control and Optimization, 62(1):243–270, 2024

Reference 34

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Observation 5428d726-fcfd-413f-8dca-df8a42c7aabf · outbound

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A new probabilistic approach for mean field games of optimal stopping Unresolved cited work

Reference 35

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Observation e8797f89-5efe-4e0f-8d39-5035a2f12f5b · outbound

This paper cites Huang, R.

A new probabilistic approach for mean field games of optimal stopping Huang, R

Reference 36

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Observation d3b36227-fa00-40e3-b130-e0d66c6438d5 · outbound

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A new probabilistic approach for mean field games of optimal stopping Unresolved cited work

Reference 37

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Observation 4a085cc4-34bc-4fcf-92ca-f3d1ada99a63 · outbound

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A new probabilistic approach for mean field games of optimal stopping Unresolved cited work

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Observation 0c133f8b-9a09-43e9-8117-734811e329ce · outbound

This paper cites Kallenberg.Foundations of modern probability.

A new probabilistic approach for mean field games of optimal stopping Kallenberg.Foundations of modern probability

Reference 39

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Observation 61f51a5c-6e7b-411e-b698-a5a30ae87e2c · outbound

This paper cites Karatzas and S.

A new probabilistic approach for mean field games of optimal stopping Karatzas and S

Reference 40

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Observation eda2389c-6f17-4636-9f55-99e6ff797812 · outbound

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A new probabilistic approach for mean field games of optimal stopping Unresolved cited work

Reference 41

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source=pdf_text observed=2026-08-01T08:48:05.814656Z digest=sha256:c954317ad21c8ab1739e2ff4eb32042133146a7e6503a3d6e9b413498a34de05

Observation 52fdd104-04c0-42a6-971d-96d4a8cd0684 · outbound

This paper cites Mean field games via controlled martingale problems: existence of markovian equilibria.Stochastic Processes and their Applications, 125(7):2856–2894, 2015.

A new probabilistic approach for mean field games of optimal stopping Mean field games via controlled martingale problems: existence of markovian equilibria.Stochastic Processes and their Applications, 125(7):2856–2894, 2015

Reference 42

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source=pdf_text observed=2026-08-01T08:48:05.910347Z digest=sha256:c79b1e2ec813b5af047c84b75a8fd38ed94f0a8d0c15fb4f3a8844f802240f68

Observation 5ed13b71-37a5-433b-b394-2115bd63409c · outbound

This paper cites Lasry and P.-L.

A new probabilistic approach for mean field games of optimal stopping Lasry and P.-L

Reference 43

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source=pdf_text observed=2026-08-01T08:48:05.977865Z digest=sha256:fc7dd6bccbefa2ad0d3c4a238fcd6ac00f467ff35d946a58b93eecb70fa67e5d

Observation f2215b3f-02af-4c11-9fc5-91411ba249d9 · outbound

This paper cites an unresolved cited work.

A new probabilistic approach for mean field games of optimal stopping Unresolved cited work

Reference 44

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source=pdf_text observed=2026-08-01T08:48:06.092266Z digest=sha256:4c24f688a3cd749add68a83de110896a5f86a5bad4dfdeb32cbd229e727d0a5c

Observation 1a4097a1-f17f-4783-bf99-fdce7a5769d8 · outbound

This paper cites an unresolved cited work.

A new probabilistic approach for mean field games of optimal stopping Unresolved cited work

Reference 45

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source=pdf_text observed=2026-08-01T08:48:06.279143Z digest=sha256:b2cc07e00b581789c4ab25e1743f293f8782b413deca6f2a6b877b4de29daf4f

Observation 70c87698-91f2-4ecc-a21f-0bddfd3c097d · outbound

This paper cites an unresolved cited work.

A new probabilistic approach for mean field games of optimal stopping Unresolved cited work

Reference 46

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source=pdf_text observed=2026-08-01T08:48:06.454746Z digest=sha256:0e8d2b35a7ca1f739e3ff98bc5932c3f972037ab0bb0295fe3146d94c035e3cf

Observation 768d1a9a-e2a7-43a1-a875-cc38902d2167 · outbound

This paper cites Nualart.The Malliavin calculus and related topics.

A new probabilistic approach for mean field games of optimal stopping Nualart.The Malliavin calculus and related topics

Reference 47

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source=pdf_text observed=2026-08-01T08:48:06.564850Z digest=sha256:6dc0beddf00a2aceb88d39d0596d77f83675ce7afe7842d1ae4b6270896e441e

Observation 50ade3f8-63a5-4ca3-ac13-b46b4f87af02 · outbound

This paper cites an unresolved cited work.

A new probabilistic approach for mean field games of optimal stopping Unresolved cited work

Reference 48

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source=pdf_text observed=2026-08-01T08:48:06.697459Z digest=sha256:b2cf531a0bf34f5eec5bd5906464bbc2f059eb3e52011b18b1bf0d3bfdc4990d

Observation 9e5b18b0-f0b3-4433-939a-bc410b98be44 · outbound

This paper cites Peng and M.

A new probabilistic approach for mean field games of optimal stopping Peng and M

Reference 49

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source=pdf_text observed=2026-08-01T08:48:06.835228Z digest=sha256:d3d4d36066a170624ec1c863c66389bb8773524079ad8c44733d668cf5749508

Observation 7c7d2323-2ba8-43cd-8636-584b76b04641 · outbound

This paper cites Possama ¨ ı and M.

A new probabilistic approach for mean field games of optimal stopping Possama ¨ ı and M

Reference 50

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source=pdf_text observed=2026-08-01T08:48:06.964934Z digest=sha256:5fa0fe1cf2970cb4f1d25600c29dbeafd03795ad1828df810ad24266465d6094

Observation d83eb7eb-09c4-46fa-af24-c489e73ba834 · outbound

This paper cites Revuz and M.

A new probabilistic approach for mean field games of optimal stopping Revuz and M

Reference 51

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source=pdf_text observed=2026-08-01T08:48:07.055773Z digest=sha256:eac3aa7c5b9a706bbe09ae6014ad22cdc86ce2be2171a57ec41895b20f4d23f4

Observation 6ebf8619-5e5f-4ee7-8b62-c1b2978beaeb · outbound

This paper cites Talbi, N.

A new probabilistic approach for mean field games of optimal stopping Talbi, N

Reference 52

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source=pdf_text observed=2026-08-01T08:48:07.136609Z digest=sha256:47af93dded27772968caa04797c75a1aee4d8b41449e10854225afabc49e50f4

Observation e05cbe35-968e-43a4-a115-5b2c9d0281b6 · outbound

This paper cites an unresolved cited work.

A new probabilistic approach for mean field games of optimal stopping Unresolved cited work

Reference 53

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source=pdf_text observed=2026-08-01T08:48:07.204744Z digest=sha256:235e847c5e97df95e1ea903ecc72611d3630ee1a17c122b026926d30cef09af4

Observation ce2fc9a1-1893-41c4-97ad-59c2b1c2fbb3 · outbound

This paper cites Touzi and N.

A new probabilistic approach for mean field games of optimal stopping Touzi and N

Reference 54

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source=pdf_text observed=2026-08-01T08:48:07.304912Z digest=sha256:ae945b55077e2445dba36df481fec234cf81061ccd913c21d9c3b24e05fb56b3

Pith citing papers

Observation 9fc207c9-600c-48ce-a27b-0f3ceb08b027 · inbound

Mean-Field Doubly Reflected Forward-Backward SDEs with Optional Barriers and $L^p$-Data cites this paper.

Mean-Field Doubly Reflected Forward-Backward SDEs with Optional Barriers and $L^p$-Data A new probabilistic approach for mean field games of optimal stopping

Reference 9

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source=pdf_text observed=2026-08-15T14:47:37.981469Z digest=sha256:69c1c3d1d2286c9c743cc4600574da3f2c2b77457ca494a0100db55a8448c010