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Paper Citation Record · LEDGER

On approximating the $f$-divergence between two Ising models

As of 18 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2509.05016.

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

pith.paper-citation-record.v1
2509.05016 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:38:17.234728Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

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

34 of 34 outbound references displayed

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  • unresolved20
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8e4f7ae5-d82d-4d15-91a3-7805256e478e · outbound

This paper cites A Circus of Circuits: Connections Between Decision Diagrams, Circuits, and Automata.

On approximating the $f$-divergence between two Ising models A Circus of Circuits: Connections Between Decision Diagrams, Circuits, and Automata

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7292121f-fc20-4f61-aecb-1d0af191a8ff · outbound

This paper cites Sketching, embedding and dimensionality reduction in information theoretic spaces.

On approximating the $f$-divergence between two Ising models Sketching, embedding and dimensionality reduction in information theoretic spaces

Reference 2

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 95366ccd-9719-4f51-be66-9229c24555ae · outbound

This paper cites Complexity of high-dimensional identity testing with coordinate conditional sampling.

On approximating the $f$-divergence between two Ising models Complexity of high-dimensional identity testing with coordinate conditional sampling

Reference 3

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Observation 383a912f-b08e-4a72-955f-28cae2c65c51 · outbound

This paper cites Approximating the total variation distance between G aussians.

On approximating the $f$-divergence between two Ising models Approximating the total variation distance between G aussians

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9536e5c1-d5d3-4197-a255-0993a6079135 · outbound

This paper cites Meel, Dimitrios Myrisiotis, A.

On approximating the $f$-divergence between two Ising models Meel, Dimitrios Myrisiotis, A

Reference 5

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Source-reported events for the cited work

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Observation 45969e5e-63f1-415b-b511-03a113b482da · outbound

This paper cites Meel, Dimitrios Myrisiotis, A.

On approximating the $f$-divergence between two Ising models Meel, Dimitrios Myrisiotis, A

Reference 6

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Observation 9ae1cdaa-d6c5-48ec-bc08-038e37fda4b2 · outbound

This paper cites Meel, Dimitrios Myrisiotis, A.

On approximating the $f$-divergence between two Ising models Meel, Dimitrios Myrisiotis, A

Reference 7

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source=arxiv_source observed=2026-08-15T16:38:17.160166Z digest=sha256:6fb4a08725e35462db573f0abc7f7b35f02dbbed6c065432fcd87b8a00e007f2

Observation d2b14992-b6d8-46a3-836c-59465eedb3ca · outbound

This paper cites Algorithms and Hardness for Estimating Statistical Similarity.

On approximating the $f$-divergence between two Ising models Algorithms and Hardness for Estimating Statistical Similarity

Reference 8

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Unavailable: canonical work link unavailable.

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Observation 3a1f8760-c85f-4cae-95c3-2b1b4ba75466 · outbound

This paper cites Meel, and N.

On approximating the $f$-divergence between two Ising models Meel, and N

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d5cd0c18-7ce3-4591-94af-ef572a510d62 · outbound

This paper cites Efficiently learning I sing models on arbitrary graphs.

On approximating the $f$-divergence between two Ising models Efficiently learning I sing models on arbitrary graphs

Reference 10

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Source-reported events for the cited work

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Observation f4ac7325-c7b5-431c-9fe9-97b3d5afa5ee · outbound

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On approximating the $f$-divergence between two Ising models Unresolved cited work

Reference 11

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 58f24994-c6af-4e30-93de-810545d71bb8 · outbound

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On approximating the $f$-divergence between two Ising models Unresolved cited work

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f2466af5-4167-4650-944f-47c1bf94f6a0 · outbound

This paper cites Rapid mixing at the uniqueness threshold.

On approximating the $f$-divergence between two Ising models Rapid mixing at the uniqueness threshold

Reference 13

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Observation d283c359-4d90-4cc5-88ec-85e0e2e52012 · outbound

This paper cites Optimal mixing of G lauber dynamics: E ntropy factorization via high-dimensional expansion.

On approximating the $f$-divergence between two Ising models Optimal mixing of G lauber dynamics: E ntropy factorization via high-dimensional expansion

Reference 14

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Observation 0884f8ca-c0a5-4d2a-864c-710fa8de359f · outbound

This paper cites Testing I sing models.

On approximating the $f$-divergence between two Ising models Testing I sing models

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d705e51c-1004-441a-9b09-a0f9c8d045f3 · outbound

This paper cites A simple polynomial-time approximation algorithm for the total variation distance between two product distributions.

On approximating the $f$-divergence between two Ising models A simple polynomial-time approximation algorithm for the total variation distance between two product distributions

Reference 16

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Observation 3910eff2-d177-4a86-b3a9-e93258500305 · outbound

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On approximating the $f$-divergence between two Ising models On deterministically approximating total variation distance

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 689b8af4-911c-422d-ac88-8dca17f43c25 · outbound

This paper cites Approximating the total variation distance between spin systems.

On approximating the $f$-divergence between two Ising models Approximating the total variation distance between spin systems

Reference 18

Resolution
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Source-reported events for the cited work

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Observation 1b80bce2-a01a-4d39-b6c2-eca118c1b4e6 · outbound

This paper cites Sampling and Identity-Testing Without Approximate Tensorization of Entropy.

On approximating the $f$-divergence between two Ising models Sampling and Identity-Testing Without Approximate Tensorization of Entropy

Reference 19

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Source-reported events for the cited work

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Observation 56401bee-142c-4f1c-b1b8-901a20baf555 · outbound

This paper cites Inapproximability of the partition function for the antiferromagnetic I sing and hard-core models.

On approximating the $f$-divergence between two Ising models Inapproximability of the partition function for the antiferromagnetic I sing and hard-core models

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 94d82a2a-fb79-4a26-adc0-c3ae12e05b88 · outbound

This paper cites Polynomial-time approximation algorithms for the I sing model.

On approximating the $f$-divergence between two Ising models Polynomial-time approximation algorithms for the I sing model

Reference 21

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Unavailable: canonical work link unavailable.

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Observation 590856d3-b124-47ed-91ac-0f155d79a8eb · outbound

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On approximating the $f$-divergence between two Ising models Sharp bounds on aggregate expert error

Reference 22

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Source-reported events for the cited work

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Observation 970b0db2-4d6c-4ccc-beb0-4887bb7f8ebc · outbound

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On approximating the $f$-divergence between two Ising models On computing the total variation distance of hidden M arkov models

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a562077d-df40-47a9-b877-c5a28c15475a · outbound

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On approximating the $f$-divergence between two Ising models On the tensorization of the variational distance

Reference 24

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2e1c5831-3ecb-46c2-8f5e-2e166e91d8c9 · outbound

This paper cites f -divergence estimation and two-sample homogeneity test under semiparametric density-ratio models.

On approximating the $f$-divergence between two Ising models f -divergence estimation and two-sample homogeneity test under semiparametric density-ratio models

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 39fcfa9c-3e9e-4458-aa24-72cd48812580 · outbound

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On approximating the $f$-divergence between two Ising models Correlation decay up to uniqueness in spin systems

Reference 26

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Unavailable: canonical work link unavailable.

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Observation 97e9ef62-3a58-47b8-8241-5576c04f1dc5 · outbound

This paper cites Markov chains and mixing times , volume 107.

On approximating the $f$-divergence between two Ising models Markov chains and mixing times , volume 107

Reference 27

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Unavailable: canonical work link unavailable.

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Observation 4bcda3b7-4092-482b-aac5-fe5d1404865f · outbound

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On approximating the $f$-divergence between two Ising models Unresolved cited work

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1f8ae428-c7eb-492e-a392-8b10abb1455b · outbound

This paper cites The I sing partition function: Zeros and deterministic approximation.

On approximating the $f$-divergence between two Ising models The I sing partition function: Zeros and deterministic approximation

Reference 29

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 92fb7760-1284-4512-86d7-3a93a1dba0d0 · outbound

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On approximating the $f$-divergence between two Ising models Schneider

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e0bb1c9c-fd54-42fc-97ce-b09fbdf5e482 · outbound

This paper cites Rubenstein, Olivier Bousquet, Josip Djolonga, Carlos Riquelme, and Ilya O.

On approximating the $f$-divergence between two Ising models Rubenstein, Olivier Bousquet, Josip Djolonga, Carlos Riquelme, and Ilya O

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2e8e9c30-e6f6-4e0c-ae42-fc6dfe42af58 · outbound

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On approximating the $f$-divergence between two Ising models Neural estimation of statistical divergences

Reference 32

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Source-reported events for the cited work

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Observation c408963d-8596-40aa-a0c6-e7678f6dd116 · outbound

This paper cites Counting in two-spin models on d -regular graphs.

On approximating the $f$-divergence between two Ising models Counting in two-spin models on d -regular graphs

Reference 33

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Observation 1e4d8986-fbcc-4ac3-906b-d6c6c47ec426 · outbound

This paper cites A complete problem for statistical zero knowledge.

On approximating the $f$-divergence between two Ising models A complete problem for statistical zero knowledge

Reference 34

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Unavailable: canonical work link unavailable.

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