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Paper Citation Record · LEDGER

Better Models and Algorithms for Learning Ising Models from Dynamics

As of 19 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 5 inbound Pith citation observations for arXiv:2507.15173.

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

pith.paper-citation-record.v1
2507.15173 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:51:16.094229Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:19:34.294316Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T13:58:21.831695Z

Reference resolution

55 of 55 outbound references displayed

  • verified exact0
  • verified fuzzy44
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e4d3aa43-5437-4cb6-b373-baa6d435b04e · outbound

This paper cites Abrahao, Flavio Chierichetti, Robert Kleinberg, and Alessandro Panconesi.

Better Models and Algorithms for Learning Ising Models from Dynamics Abrahao, Flavio Chierichetti, Robert Kleinberg, and Alessandro Panconesi

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.795984Z digest=sha256:669c51bec98da8e575303807ffedb1a4615afdb29d09319c40c87291bd3af081

Observation 14512071-c33b-419a-8773-87208816b56b · outbound

This paper cites Chow- L iu++: O ptimal P rediction- C entric L earning of T ree I sing M odels.

Better Models and Algorithms for Learning Ising Models from Dynamics Chow- L iu++: O ptimal P rediction- C entric L earning of T ree I sing M odels

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:17.173736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5af13ea9-a8a6-44de-af8f-446183d5494c · outbound

This paper cites Bartlett, Varsha Dani, Thomas P.

Better Models and Algorithms for Learning Ising Models from Dynamics Bartlett, Varsha Dani, Thomas P

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation dd2ee404-3393-43e7-ab2a-ac38f6b7f294 · outbound

This paper cites Bovier and F.

Better Models and Algorithms for Learning Ising Models from Dynamics Bovier and F

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:17.132711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.815578Z digest=sha256:da02884abb1e21c10aadaed6f5a73891da919d0670280436ecea1dc92c4f90dd

Observation be65256f-17f5-4d42-8754-9e893ef1d082 · outbound

This paper cites Bartlett, Paul Fischer, and Klaus - Uwe H \" o ffgen.

Better Models and Algorithms for Learning Ising Models from Dynamics Bartlett, Paul Fischer, and Klaus - Uwe H \" o ffgen

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:17.112814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.821948Z digest=sha256:55d10e07adacd528ee078f72583e4455c531aee53ff27d3473400038a6cee9b7

Observation 7952b652-af81-4343-873c-3aaed1888508 · outbound

This paper cites an unresolved cited work.

Better Models and Algorithms for Learning Ising Models from Dynamics Unresolved cited work

Reference 6

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.827008Z digest=sha256:039dab5ccff3deb24a513bf78c5d3b31b571058ee9f1c47eb7fa8fa4f3230f0a

Observation df146c44-7b3b-4822-8fed-f16604a5a338 · outbound

This paper cites Learning G raphical M odels from the G lauber D ynamics.

Better Models and Algorithms for Learning Ising Models from Dynamics Learning G raphical M odels from the G lauber D ynamics

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:17.071318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.833135Z digest=sha256:8578a5a946287c0c547d8f533e36cdb8dcb33491a505c83e38ab42b1b1f9aec4

Observation f530db38-c269-44e3-84cd-b26cbc4864ad · outbound

This paper cites Learning a tree-structured Ising model in order to make predictions.

Better Models and Algorithms for Learning Ising Models from Dynamics Learning a tree-structured Ising model in order to make predictions

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:17.049320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 497d97f8-8286-4a10-af16-fac2ca600bd1 · outbound

This paper cites Learning restricted B oltzmann machines via influence maximization.

Better Models and Algorithms for Learning Ising Models from Dynamics Learning restricted B oltzmann machines via influence maximization

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:17.026653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.843832Z digest=sha256:a4e6d97f24650d759c576b042264bd89e512d5e34956954535b293aa79b495ae

Observation 8372dd10-b653-478b-9fb5-52db093d856f · outbound

This paper cites A new approach to learning linear dynamical systems.

Better Models and Algorithms for Learning Ising Models from Dynamics A new approach to learning linear dynamical systems

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 91b6e771-3276-48d3-960c-9a227a8cef9a · outbound

This paper cites an unresolved cited work.

Better Models and Algorithms for Learning Ising Models from Dynamics Unresolved cited work

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.854724Z digest=sha256:1adc813c06ffa7ebdca4aee6ebc55425d10f1c7855b53fcd523f93945c510453

Observation 02aeeca7-1404-4c08-8b66-d4564f96be5a · outbound

This paper cites Bshouty, Elchanan Mossel, Ryan O'Donnell, and Rocco A.

Better Models and Algorithms for Learning Ising Models from Dynamics Bshouty, Elchanan Mossel, Ryan O'Donnell, and Rocco A

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.968374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ed39c556-5aad-4c63-9d66-1768ce2e91ed · outbound

This paper cites Reconstruction of M arkov R andom F ields from S amples: S ome O bservations and A lgorithms.

Better Models and Algorithms for Learning Ising Models from Dynamics Reconstruction of M arkov R andom F ields from S amples: S ome O bservations and A lgorithms

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.945670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 35617434-7165-4460-b419-c35eb6ab7321 · outbound

This paper cites an unresolved cited work.

Better Models and Algorithms for Learning Ising Models from Dynamics Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:51:16.927530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.870474Z digest=sha256:3ff90119eace6ebdd2f51d8848b88e69a3115b81ddc5435f82f66498962344e9

Observation 762cde2e-6404-4101-bb30-1ab9dc04fe3b · outbound

This paper cites Efficiently L earning I sing M odels on A rbitrary G raphs.

Better Models and Algorithms for Learning Ising Models from Dynamics Efficiently L earning I sing M odels on A rbitrary G raphs

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.906116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.875444Z digest=sha256:02769602cdbba647536b9002e942a9696d5fbfd602aab849675df2d0d0f10149

Observation 301106f3-0fd2-4d44-9e38-44524c8665fd · outbound

This paper cites Localization S chemes: A F ramework for P roving M ixing B ounds for M arkov C hains.

Better Models and Algorithms for Learning Ising Models from Dynamics Localization S chemes: A F ramework for P roving M ixing B ounds for M arkov C hains

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.888488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 53291325-5ce8-4cb6-bc25-39a5b877968f · outbound

This paper cites an unresolved cited work.

Better Models and Algorithms for Learning Ising Models from Dynamics Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:51:16.869680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0a3bc6c3-027f-4e42-8c09-38010c074369 · outbound

This paper cites Approximating discrete probability distributions with dependence trees.

Better Models and Algorithms for Learning Ising Models from Dynamics Approximating discrete probability distributions with dependence trees

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.853843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.893168Z digest=sha256:2288965bea33befd7996f37705a6fcca860a17cecc59b71192a07dc2ccca2acb

Observation 7e6607e9-3103-4b32-bf97-d6cf4a335a22 · outbound

This paper cites Learning I sing models from one or multiple samples.

Better Models and Algorithms for Learning Ising Models from Dynamics Learning I sing models from one or multiple samples

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.834902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.899655Z digest=sha256:af01fef5aeb0982fbb29c01dff3e8b2064c496d8c11b6739240f54c34a26d17b

Observation 2f5ddee8-9bfc-451c-b089-2171bbacc63f · outbound

This paper cites Kane, Alistair Stewart, and Yuxin Sun.

Better Models and Algorithms for Learning Ising Models from Dynamics Kane, Alistair Stewart, and Yuxin Sun

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.814801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.906110Z digest=sha256:f91365d2a0eef9143b2eff92d95bdbcf68d182e934e476456c2e7a6422a0b565

Observation 5fbe1183-ce83-404e-b7b5-77c1d67d406d · outbound

This paper cites Lokhov, Marc Vuffray, and Sidhant Misra.

Better Models and Algorithms for Learning Ising Models from Dynamics Lokhov, Marc Vuffray, and Sidhant Misra

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.798152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.911255Z digest=sha256:864a491bfd8fd8f7511446f10178ddf5c7a94c291df5b54c4ca2322237b4c104

Observation f3f972af-a669-48a0-b22d-f7e2ead69292 · outbound

This paper cites The minimax learning rates of normal and I sing undirected graphical models.

Better Models and Algorithms for Learning Ising Models from Dynamics The minimax learning rates of normal and I sing undirected graphical models

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.777416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.916397Z digest=sha256:a324ca5ef49544ee80dd8840db74412ee81e8546f0bf284a2e3c9a6dfee61f82

Observation c33af771-2da1-47c0-a775-2628f8750522 · outbound

This paper cites A S pectral C ondition for S pectral G ap: F ast M ixing in H igh- T emperature I sing M odels.

Better Models and Algorithms for Learning Ising Models from Dynamics A S pectral C ondition for S pectral G ap: F ast M ixing in H igh- T emperature I sing M odels

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.759710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6973b0cf-98b6-4ac9-accb-f5954f3091fd · outbound

This paper cites Kane, and Adam R.

Better Models and Algorithms for Learning Ising Models from Dynamics Kane, and Adam R

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.740210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.927037Z digest=sha256:d5071cd1581afa6c4770a38b20b400398b289175c48099b60a114edbb839d5fa

Observation 38625653-157d-4ce3-b1f5-fa8d6dd12388 · outbound

This paper cites Klivans, and Frederic Koehler.

Better Models and Algorithms for Learning Ising Models from Dynamics Klivans, and Frederic Koehler

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.714789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.931822Z digest=sha256:a4957c754bc1b9a03ec4218a4096132ee5a92735b8bdbb8d3917477e891f5f28

Observation e776e970-4981-448b-aa34-5e5575b871c5 · outbound

This paper cites Time-dependent statistics of the Ising model.

Better Models and Algorithms for Learning Ising Models from Dynamics Time-dependent statistics of the Ising model

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.694890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.937621Z digest=sha256:29152b06154fb99dd26ef7fc812ec3a4f47e114d93d594fb2820645f7fe4c92e

Observation 4c83e83c-e9b9-42da-ba58-0fbd165645f3 · outbound

This paper cites A Unified Approach to Learning Ising Models: Beyond Independence and Bounded Width.

Better Models and Algorithms for Learning Ising Models from Dynamics A Unified Approach to Learning Ising Models: Beyond Independence and Bounded Width

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.670071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.943400Z digest=sha256:326eb7d6232367f1db470794c7698aa23469dd4562cfacdbeb8daf1167becc67

Observation 40be711a-d82a-4c14-835f-d90f4088d18a · outbound

This paper cites Bypassing the Noisy Parity Barrier: Learning Higher-Order Markov Random Fields from Dynamics.

Better Models and Algorithms for Learning Ising Models from Dynamics Bypassing the Noisy Parity Barrier: Learning Higher-Order Markov Random Fields from Dynamics

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.646865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.949370Z digest=sha256:c578493df5a7282537197d290b58810ebf18ae1a9c69c46c42fad459836a4893

Observation 2ae6094e-9f0f-477f-8ead-f5b1ecdc578a · outbound

This paper cites Low-temperature Ising dynamics with random initializations.

Better Models and Algorithms for Learning Ising Models from Dynamics Low-temperature Ising dynamics with random initializations

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.629685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.954294Z digest=sha256:cb6b7f56657ce55c45bceb4c044ccbc547e60a7d83e99d66ab6b8a8f30ca15ea

Observation b2b6f494-9167-45bb-a215-47155746cdf9 · outbound

This paper cites Rapid phase ordering for Ising and Potts dynamics on random regular graphs.

Better Models and Algorithms for Learning Ising Models from Dynamics Rapid phase ordering for Ising and Potts dynamics on random regular graphs

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T15:51:15.959141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:51:15.959141Z digest=sha256:3fb3f128196bdbc705bb7ef7fde79a55a10730e52b9681cecaab4caee5400f73

Observation 5c35ad19-953c-478f-a068-90561c8975ee · outbound

This paper cites an unresolved cited work.

Better Models and Algorithms for Learning Ising Models from Dynamics Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:51:16.613194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.966855Z digest=sha256:23567d3dbef9f7cb1ae122c6165a9830566b031e7ce2f1b49ea1436b05e88b69

Observation c2a00f32-7b23-4e5b-92fe-e88aec8080f5 · outbound

This paper cites Learning graphs from noisy epidemic cascades.

Better Models and Algorithms for Learning Ising Models from Dynamics Learning graphs from noisy epidemic cascades

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.596140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.973040Z digest=sha256:a34ff77cff57d209785df7e6e846f3e972479114e63e22446c19c1de464126d6

Observation c30c2f1d-8a72-44bd-a17f-9d7f8dcb62b4 · outbound

This paper cites Information T heoretic P roperties of M arkov R andom F ields, and their A lgorithmic A pplications.

Better Models and Algorithms for Learning Ising Models from Dynamics Information T heoretic P roperties of M arkov R andom F ields, and their A lgorithmic A pplications

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.577800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.978297Z digest=sha256:f4331b024f5177a09cdb41ab961b6e1f7bcf10273d818d171f1287dd739e923b

Observation f8aba2a7-69ab-4f11-ab47-9d14396ae55f · outbound

This paper cites Discrete distributions are learnable from metastable samples.

Better Models and Algorithms for Learning Ising Models from Dynamics Discrete distributions are learnable from metastable samples

Reference 34

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T15:51:16.158066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.983766Z digest=sha256:755345e74667bc050e42240f3f3627cab8e1c4f85af227f17636ce048e2d1c97

Observation 6134b5c5-dda8-48d8-8727-71ffa32deb38 · outbound

This paper cites an unresolved cited work.

Better Models and Algorithms for Learning Ising Models from Dynamics Unresolved cited work

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T15:51:15.989016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:51:15.989016Z digest=sha256:4f726cd0fbf457d7f19ea9bd2f8259f0f5a29a93ef870e8cd602406c105ea805

Observation 7cc9c307-e76f-4155-bbe7-220f55083d6c · outbound

This paper cites Learning and T esting L atent- T ree I sing M odels E fficiently.

Better Models and Algorithms for Learning Ising Models from Dynamics Learning and T esting L atent- T ree I sing M odels E fficiently

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.548054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.995801Z digest=sha256:d7fbf8f402f2b5c55d72ebe9c680685db58af498f8f17ac2a2d6a62900c668e5

Observation d9b4c747-26d5-414a-a0ed-2370f98d53e9 · outbound

This paper cites Statistical E fficiency of S core M atching: T he V iew from I soperimetry.

Better Models and Algorithms for Learning Ising Models from Dynamics Statistical E fficiency of S core M atching: T he V iew from I soperimetry

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.528400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.001179Z digest=sha256:6f4b9e0bc6c0bd45e36ca8aada1ee770b6b7d4328d2999978af6f7f2e4795f55

Observation 94e273d1-0077-412a-9a40-8aa6dc8c4a0f · outbound

This paper cites Efficiently learning and sampling multimodal distributions with data-based initialization.

Better Models and Algorithms for Learning Ising Models from Dynamics Efficiently learning and sampling multimodal distributions with data-based initialization

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T15:51:16.006252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:51:16.006252Z digest=sha256:5d7e0b6f3848274d30c8d023b939f412587d45aeb3f76200e0c492f4c7d489e0

Observation 6580b74a-23a3-4787-954c-52b747590c0c · outbound

This paper cites Klivans and Raghu Meka.

Better Models and Algorithms for Learning Ising Models from Dynamics Klivans and Raghu Meka

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.508570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.012459Z digest=sha256:273c1e79b20dd451e68d35671eaf3ea33453ea9738123619ad26c1314550ac66

Observation 501b5e2b-df87-451a-833f-7ab138a0471b · outbound

This paper cites Mailath, and Rafael Rob.

Better Models and Algorithms for Learning Ising Models from Dynamics Mailath, and Rafael Rob

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.488376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.017525Z digest=sha256:e9b13589971410088664cdf7a127a100aaf0b27c0157e107f65aaebc1714c861

Observation 2a1617c4-c42f-42eb-91fe-5f68bab001d0 · outbound

This paper cites Chernoff and Berry--Ess \'e en inequalities for Markov processes.

Better Models and Algorithms for Learning Ising Models from Dynamics Chernoff and Berry--Ess \'e en inequalities for Markov processes

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.468125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.022447Z digest=sha256:a310b706e75a14aab16b7fc0c0d07615f4a0d432c100353d9ead691ce506576f

Observation 054ddf56-ba90-40c5-8810-d2af564c7e0a · outbound

This paper cites an unresolved cited work.

Better Models and Algorithms for Learning Ising Models from Dynamics Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:51:16.448446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.027319Z digest=sha256:f6f7e2c43aa71c8cb5f8949ff9210d44367fbcd1d12e0996ebdcea276a0474eb

Observation 7dba2915-2481-4596-aeef-a6907c0b81a9 · outbound

This paper cites Levin and Yuval Peres.

Better Models and Algorithms for Learning Ising Models from Dynamics Levin and Yuval Peres

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.430585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.032274Z digest=sha256:922ec9746db7fceb87db814b3baa3088c090e1edac6522f3f23173a4a9ccdaa5

Observation e3db32ad-9b57-4641-a90e-f22260271830 · outbound

This paper cites Rosenbluth, Marshall N.

Better Models and Algorithms for Learning Ising Models from Dynamics Rosenbluth, Marshall N

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.413267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.037284Z digest=sha256:09d28aa62c3960a4a1def7a8dc3c1a97a6f608263ab32478a18fa52486a71486

Observation 750e0c64-3847-4bdb-8a23-f3431a20d728 · outbound

This paper cites Convergence to E quilibrium in L ocal I nteraction G ames.

Better Models and Algorithms for Learning Ising Models from Dynamics Convergence to E quilibrium in L ocal I nteraction G ames

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.394273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.042143Z digest=sha256:700e9506cfa92fc71736bf7dd84b648c1a6aee2ce912fa8b9815187c97f12843

Observation c2eab33a-daf5-4763-b8c1-05d9aa68b83b · outbound

This paper cites Learning the graph of epidemic cascades.

Better Models and Algorithms for Learning Ising Models from Dynamics Learning the graph of epidemic cascades

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.373607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.047274Z digest=sha256:343fcdf964148fa2c9451c7fbfce1bcd5e84f698efbd925ee01c02012c3a2901

Observation b64cb087-248c-49bb-96f1-bb3533b9d637 · outbound

This paper cites On L earning I sing M odels under H uber's C ontamination M odel.

Better Models and Algorithms for Learning Ising Models from Dynamics On L earning I sing M odels under H uber's C ontamination M odel

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.353281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.052084Z digest=sha256:3574d194ee6adb130cc6df18af19d871e7c5918c3ac7c0f67e4780a672a068c4

Observation 75016261-7040-4bb2-805b-e378905b2023 · outbound

This paper cites High- D imensional I sing M odel S election U sing _1 - R egularized L ogistic R egression.

Better Models and Algorithms for Learning Ising Models from Dynamics High- D imensional I sing M odel S election U sing _1 - R egularized L ogistic R egression

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.332471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.057363Z digest=sha256:75dd9b5ec42dedfd8c409a03b4ae984c7c6efdd74a8c021dd42e56ca4dbcd025

Observation 57b688a0-43dc-41bd-8849-49278b6fbdf4 · outbound

This paper cites Learning linear dynamical systems with semi-parametric least squares.

Better Models and Algorithms for Learning Ising Models from Dynamics Learning linear dynamical systems with semi-parametric least squares

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.313701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.062269Z digest=sha256:8adc6d1fddeb74141204c1a07455ecb7cff9978bf3c32c66acde0aad64ba8872

Observation 3c17ff9f-0705-48ba-82b7-f200e01ff724 · outbound

This paper cites Computational transition at the uniqueness threshold.

Better Models and Algorithms for Learning Ising Models from Dynamics Computational transition at the uniqueness threshold

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.294130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.067535Z digest=sha256:b672f54e44be6709c35f9cdd3bcade410f7f0db146a47f4ddc60c094e1c9e80d

Observation fbd7bf16-40c6-4942-9647-64b7ddf2fbe1 · outbound

This paper cites The C omputational H ardness of C ounting in T wo- S pin M odels on d - R egular G raphs.

Better Models and Algorithms for Learning Ising Models from Dynamics The C omputational H ardness of C ounting in T wo- S pin M odels on d - R egular G raphs

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.273763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.072433Z digest=sha256:e5b652502ba2b2811aa6729a595fc88ac12f8565adbccc434896aa4c17c2de1e

Observation 339ab2b4-0124-4292-9fcb-2adfe464a179 · outbound

This paper cites Santhanam and Martin J.

Better Models and Algorithms for Learning Ising Models from Dynamics Santhanam and Martin J

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.249919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.078011Z digest=sha256:82a1cdf4cac125da601b15e7e2db5d31fdfac0425d0dfb66357bd9041583e034

Observation 5da6461f-e2e0-407a-afb3-fef7d9eb73c2 · outbound

This paper cites Lokhov, and Michael Chertkov.

Better Models and Algorithms for Learning Ising Models from Dynamics Lokhov, and Michael Chertkov

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.230193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.084002Z digest=sha256:06884e43421fba8034909de8c7dcf22ba032ec54b1e529e5ed68607b5b981f4e

Observation 7e44c873-422e-4c35-b892-752ff517b6f2 · outbound

This paper cites an unresolved cited work.

Better Models and Algorithms for Learning Ising Models from Dynamics Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:51:16.210835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.089136Z digest=sha256:abe62f9a744c2ac9866ce59a07d92aea329027f54283ec6a4f6847a40f24857b

Observation 4647ca82-e742-47d6-81ce-20b9179bdc0e · outbound

This paper cites Peyton Young.

Better Models and Algorithms for Learning Ising Models from Dynamics Peyton Young

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:51:16.194219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.094229Z digest=sha256:833bf588927ef60b7007d27139778b544b03a0cf3dbb79735b5ee048fc42e911

Pith citing papers

Observation 14791cae-1cf2-4127-863e-9272b25891c8 · inbound

Learning $\mathsf{AC}^0$ Under Graphical Models cites this paper.

Learning $\mathsf{AC}^0$ Under Graphical Models Better Models and Algorithms for Learning Ising Models from Dynamics

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:30:52.912005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T19:45:54.008353Z digest=sha256:cd79da0e245d8d9b65da72f0594e218cd4e37213f942caf85e987f9f0084f06a

Observation 1fee060c-a688-40c0-ac86-4abacc0f310a · inbound

Learning with Simulators: No Regret in a Computationally Bounded World cites this paper.

Learning with Simulators: No Regret in a Computationally Bounded World Better Models and Algorithms for Learning Ising Models from Dynamics

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:58:21.833166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T07:22:21.729255Z digest=sha256:c6791146e5668c708cf83dbc1ad5d5978c8a1eb8241365cd13e92c67fc1b478a

Observation 38147c21-dc35-4720-9081-d2e58349d8c6 · inbound

Learning Gaussian Graphical Models from a Glauber Trajectory Without Mixing cites this paper.

Learning Gaussian Graphical Models from a Glauber Trajectory Without Mixing Better Models and Algorithms for Learning Ising Models from Dynamics

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-01T06:35:29.305811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-07-01T06:35:07.063743Z digest=sha256:9c8fc6a980f1acd6eab3296900a7208f99a85aeaeefdf838554e594e7a636482

Observation 4e4558ca-26d6-4b0f-95de-829338d93665 · inbound

Interpreting learning dynamics of autoencoders: Transient scaling and emerging concepts of the Ising model cites this paper.

Interpreting learning dynamics of autoencoders: Transient scaling and emerging concepts of the Ising model Better Models and Algorithms for Learning Ising Models from Dynamics

Reference 32

Resolution
unresolved
no resolver link, observed 2026-07-14T12:55:22.304868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T12:55:22.304868Z digest=sha256:04d179306d35ba4e647e62ec34db4a341fb070f748b9e019b490ff081e25d709

Observation 7bae5cf7-1570-4f26-ac5c-93c69fcd1358 · inbound

Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics cites this paper.

Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Better Models and Algorithms for Learning Ising Models from Dynamics

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T15:19:34.294316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:19:34.294316Z digest=sha256:8e24b7682acf37b5c70a36434250d30f613caefe7511770c76d09695649768d0