Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T13:02:09.615092Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 0 inbound Pith citation observations for arXiv:2509.01064.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T13:02:09.615092Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
88 of 88 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 881690b5-7628-4e0a-b116-6883022c0207 · outbound
Testing maximum entropy models with e-values For the sake of this example, we put independent, dis- crete uniform priors on the alternative parametersna 1 and nb 1: W1(na 1, nb
Reference 1
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Testing maximum entropy models with e-values (34) In this case, Condition A (30) holds, as the null sufficient statistics can be written as a function of the alternative one: n1 = na 1 + nb
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Testing maximum entropy models with e-values Unresolved cited work
Reference 3
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Testing maximum entropy models with e-values Unresolved cited work
Reference 4
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Testing maximum entropy models with e-values To build it, we first transform the canonical universal distribution into a microcanonical one, by finding Wcan,1 as in (39)
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Testing maximum entropy models with e-values (49) where Wpseudo,0(c0(x)) is defined as in (39)
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Testing maximum entropy models with e-values Thus, we can compute the microcanonical approximation SGRO mic by us- ing the results of Example A
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Testing maximum entropy models with e-values suggest” rather than “prove
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Testing maximum entropy models with e-values Unresolved cited work
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Testing maximum entropy models with e-values Unresolved cited work
Reference 12
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Testing maximum entropy models with e-values Unresolved cited work
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Testing maximum entropy models with e-values For any given prior W1 on the alternative sufficient statistics, SGRO mic is found exactly by computing W ∗ 0 and applying (32)
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Testing maximum entropy models with e-values If na 1 and nb 1 are independently distributed: W1(na 1, nb
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Testing maximum entropy models with e-values Unresolved cited work
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Testing maximum entropy models with e-values Unresolved cited work
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Testing maximum entropy models with e-values Unresolved cited work
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Testing maximum entropy models with e-values Unresolved cited work
Reference 19
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Testing maximum entropy models with e-values (79) Given that na 1 and nb 1 are independently distributed, W ∗ 0 (n1) is the convolution of W a can,1(na
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Testing maximum entropy models with e-values Example 3: Independent beta priors
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Testing maximum entropy models with e-values Unresolved cited work
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Testing maximum entropy models with e-values Unresolved cited work
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Testing maximum entropy models with e-values (85) With this choice, W a 1 and W b 1 are beta-binomial distributions
Reference 24
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Observation ca77eb04-2c4b-4a65-bbe5-78fe5cba1059 · outbound
Testing maximum entropy models with e-values Whether this expression can 15 be written in closed form depends on the specific values of the beta parameters chosen
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Testing maximum entropy models with e-values The key question remains whether the probability of observing x = 1 differs between groups
Reference 26
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Observation 881396c9-cb68-4cf6-97fb-57f86fd8d033 · outbound
Testing maximum entropy models with e-values Unresolved cited work
Reference 27
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Testing maximum entropy models with e-values k} (−1)|S| n1 + k − 1 − P j∈S(nj − n) n1 − 1 × " kY i=1 ni + 1 #−1 , (97) where the sum runs over all possible subsets of {1,
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Testing maximum entropy models with e-values Unresolved cited work
Reference 29
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Observation aad129e5-81c7-40b2-aeb3-21987dd948af · outbound
Testing maximum entropy models with e-values (104) W ∗ 0 is then the convolution of all W i can,1(ni 1), which again can be computed numerically or by resorting to the Gaussian approximation (95)
Reference 30
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Testing maximum entropy models with e-values Unresolved cited work
Reference 31
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Testing maximum entropy models with e-values Unresolved cited work
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Testing maximum entropy models with e-values Unresolved cited work
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Testing maximum entropy models with e-values Unresolved cited work
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Testing maximum entropy models with e-values thermodynamic limit
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Testing maximum entropy models with e-values Unresolved cited work
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Testing maximum entropy models with e-values Unresolved cited work
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Testing maximum entropy models with e-values Unresolved cited work
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Testing maximum entropy models with e-values Hypothesis test- ing with e-values
Reference 40
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Testing maximum entropy models with e-values Gr¨ unwald, R
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Testing maximum entropy models with e-values Wasserman, A
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Testing maximum entropy models with e-values Vovk and R
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Testing maximum entropy models with e-values Re- verse information projections and optimal e-statistics
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Testing maximum entropy models with e-values The numeraire e-variable and reverse information pro- jection
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Testing maximum entropy models with e-values Unresolved cited work
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Testing maximum entropy models with e-values Unresolved cited work
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Testing maximum entropy models with e-values Unresolved cited work
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Testing maximum entropy models with e-values Squartini and D
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Testing maximum entropy models with e-values Squartini, G
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Testing maximum entropy models with e-values Marcaccioli and G
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Reference 56
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Reference 57
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Testing maximum entropy models with e-values Gr¨ unwald
Reference 60
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Reference 61
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Reference 64
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Testing maximum entropy models with e-values Gr¨ unwald and T
Reference 66
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Reference 67
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Reference 68
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Reference 69
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Reference 71
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Reference 72
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Testing maximum entropy models with e-values Unresolved cited work
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Testing maximum entropy models with e-values Unresolved cited work
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Testing maximum entropy models with e-values Earnest (user)
Reference 76
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Testing maximum entropy models with e-values Unresolved cited work
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Testing maximum entropy models with e-values Unresolved cited work
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Testing maximum entropy models with e-values Unresolved cited work
Reference 80
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Testing maximum entropy models with e-values Unresolved cited work
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Testing maximum entropy models with e-values Vall` es-Catal` a, T
Reference 82
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Reference 83
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Testing maximum entropy models with e-values Breaking of ensemble equivalence in networks
Reference 84
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0b88ed97-65f7-4053-9d50-f05cffdf269d · outbound
Reference 85
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 096e3d68-0c5b-48c0-8eee-8194d9f41980 · outbound
Testing maximum entropy models with e-values Growth-Optimal E-Variables and an extension to the multivariate Csisz\'ar-Sanov-Chernoff Theorem
Reference 86
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Unavailable: canonical work link unavailable.
Observation 9aafba6a-0075-491b-8858-e87770ac6c44 · outbound
Testing maximum entropy models with e-values Unresolved cited work
Reference 87
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Observation d45750ea-8e77-440d-bc11-90d4355f4a24 · outbound
Testing maximum entropy models with e-values log P wpseudo,0 0 (x) P ˜w′ 0 0 (x) # + RED1(θ1; P w1 1 ) = Eθ1
Reference 88
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
No inbound Pith citation observations are available.