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Paper Citation Record · LEDGER

Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version)

As of 8 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2506.10377.

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

pith.paper-citation-record.v1
2506.10377 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

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measured 36 of 36 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

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External citation measurements

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Outbound references

Observation b5f10e41-9771-4d71-ba07-8340154c84dd · outbound

This paper cites Abramsky and A.

Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Abramsky and A

Reference 1

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This paper cites Model checking markov chains as distribution transformers.

Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Model checking markov chains as distribution transformers

Reference 2

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This paper cites Akshay, Blaise Genest, and P.

Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Akshay, Blaise Genest, and P

Reference 3

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This paper cites Akshay, Timos Antonopoulos, Joël Ouaknine, and James Worrell.

Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Akshay, Timos Antonopoulos, Joël Ouaknine, and James Worrell

Reference 4

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This paper cites Akshay, Krishnendu Chatterjee, Tobias Meggendorfer, and or e Z ikeli\' c.

Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Akshay, Krishnendu Chatterjee, Tobias Meggendorfer, and or e Z ikeli\' c

Reference 5

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This paper cites Akshay, Krishnendu Chatterjee, Tobias Meggendorfer, and or e Z ikeli\' c.

Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Akshay, Krishnendu Chatterjee, Tobias Meggendorfer, and or e Z ikeli\' c

Reference 6

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This paper cites Akshay, Blaise Genest, and Nikhil Vyas.

Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Akshay, Blaise Genest, and Nikhil Vyas

Reference 7

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This paper cites Computational Complexity - A Modern Approach.

Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Computational Complexity - A Modern Approach

Reference 8

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This paper cites Ash and Catherine A.

Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Ash and Catherine A

Reference 9

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This paper cites Category Theory.

Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Category Theory

Reference 10

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This paper cites Principles of model checking.

Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Principles of model checking

Reference 11

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This paper cites Pyomo-optimization modeling in python , volume 67.

Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Pyomo-optimization modeling in python , volume 67

Reference 12

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This paper cites Model checking mdps with a unique compact invariant set of distributions.

Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Model checking mdps with a unique compact invariant set of distributions

Reference 13

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This paper cites PolyQEnt: A Polynomial Quantified Entailment Solver.

Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) PolyQEnt: A Polynomial Quantified Entailment Solver

Reference 14

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Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Z3: An efficient smt solver

Reference 15

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Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Limit synchronization in markov decision processes

Reference 16

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Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Theorie der einfachen ungleichungen

Reference 17

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Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Antichains and compositional algorithms for ltl synthesis

Reference 18

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Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Pysmt: a solver-agnostic library for fast prototyping of smt-based algorithms

Reference 19

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Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Probabilistic automata on finite words: Decidable and undecidable problems

Reference 20

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Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Measurement-based verification of quantum markov chains

Reference 21

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Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Representing polynomials by positive linear functions on compact convex polyhedra

Reference 22

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Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Generic trace semantics via coinduction

Reference 23

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Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) The probabilistic model checker storm

Reference 24

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Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Introduction to Coalgebra: Towards Mathematics of States and Observation , volume 59 of Cambridge Tracts in Theoretical Computer Science

Reference 25

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Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Reasoning about mdps as transformers of probability distributions

Reference 26

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Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Kwiatkowska, Gethin Norman, and David Parker

Reference 27

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Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Unresolved cited work

Reference 28

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Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Mac Lane

Reference 29

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Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Glpk (gnu linear programming kit)

Reference 30

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Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Decision problems for linear recurrence sequences

Reference 31

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Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) On linear recurrence sequences and loop termination

Reference 32

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Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Papadimitriou

Reference 33

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Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Puterman

Reference 34

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Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Ranking and repulsing supermartingales for reachability in randomized programs

Reference 35

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Chance and Mass Interpretations of Probabilities in Markov Decision Processes (Extended Version) Optimal policies for quantum markov decision processes

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T04:37:41.756252Z digest=sha256:763732135975634925c5bba4d059f3143680b91121c26a00083b8a3ab9c971a7

Pith citing papers

No inbound Pith citation observations are available.