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Paper Citation Record · LEDGER

Better Models and Algorithms for Learning Ising Models from Dynamics

As of 9 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 2026-08-08T06:32:00.761636+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
raw_fallback, observed 2026-08-06T15:51:17.198199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.795984Z digest=sha256:837cd5ccce92250a82b430169e01fb225cc3b002e5c6fbd0526e06e02b81a95d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.802339Z digest=sha256:f33ef2a854f345f7267adfff3329742d26c32bb8de0360dcbf98e64a07418822

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
raw_fallback, observed 2026-08-06T15:51:17.152840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.808644Z digest=sha256:2e80fb946e8a6d655689e00a628d68ecb4f00b751154f76926ee0342220ed90a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.815578Z digest=sha256:de2076d8dbecfab06a2a7e5c5d8c0a33df47edf4bf939ab98736eb96c289c6a0

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.821948Z digest=sha256:cea55ce52b02a11a47985e3a25996c5fe7a7c394fe15990efb4610b3f8918c9d

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
raw_fallback, observed 2026-08-06T15:51:17.093105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.827008Z digest=sha256:f5fe6080f673c550b03f58b543b6b89ed57a53939631a77108c5e1d996c11713

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.833135Z digest=sha256:6e183390ee44ef0a23400b574057d9da886113f7dbccf27eb33a5363befa8fd2

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.838587Z digest=sha256:3867b04c6fe7344cfa6aa0178158160b6a3d9fc5f1faf63c60dc5fa1949ae02f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.843832Z digest=sha256:43b779b9461b28f8dc5030b7d7162a59b01405e391ab1fd51ad1b8d0b56cdc49

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
raw_fallback, observed 2026-08-06T15:51:17.007599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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
unresolved
raw_fallback, observed 2026-08-06T15:51:16.988728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.854724Z digest=sha256:c2f01abffebf07fe454eeea92a38a833361432efb16a5e71ad6475f588a73357

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.860263Z digest=sha256:caa74b0adcff011ce3d3d90f36c8f48f94a9bbbf0a9ad5881bf111791a7583ff

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.865388Z digest=sha256:ee0326afee89e229b5c77d661eeb10748a95857d0fe8d2ad645d7d562dc81688

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.870474Z digest=sha256:51e9f70d7bda86571d846d074e71775e07223330d74b7ac00a9c8eca1b5f68c8

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.875444Z digest=sha256:a3e912d484d5a2d2189fa0f6395685a08bf8abd3c6f62b57881ff1e76f08490a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.880624Z digest=sha256:acec3fe759d2d3bd5b8e8c44e2b47acc5057e14ae887cb79b8cea7bd78ceabaf

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.886890Z digest=sha256:1798557290d0e12a591edfe01b6e2d2b1550264b574e91a84f8acbe7eef65585

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.893168Z digest=sha256:71e8e6dbae8966a43a0462f796e8ccc6b2801f405afe176401b5cb036ebd8304

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.899655Z digest=sha256:299b34f43ba7a0d4510bb45fb97be2dbf54b8f49444dc617b9225b04d59d23c0

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.906110Z digest=sha256:1afaf595e9249917a2e2047cf712ca15a46ffc34411646c805732f9274fa61b9

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.911255Z digest=sha256:f8cef9c743eb7c91c6aca69601e2245fabacb49b67044c578e1a582f941c4d36

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.916397Z digest=sha256:f713a1b3f993b3c8f8d83a5725ac7123aa4e283056752a294a6a1e6ebf6f01d0

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.922103Z digest=sha256:f51aca1cdce7ed3a6500f8d6c0655b020598779b1b6474c85fbd4d739fb10f2a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.927037Z digest=sha256:291726e456ec796e0513aa5941ee874bd97cae5550317cdef06ced07fed2a67e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.931822Z digest=sha256:0f81353d9fcf702d4fa844fecde7bccb2861016a3efcfce1a0fdae2bd10a8366

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.937621Z digest=sha256:a269ca0d4c6175761c930ef93341246f1cc70b86efdbfb0172df256a4b1f5743

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.943400Z digest=sha256:1310386a7c9ebe7503bee71fc5e9605d2b6d9078afa6c7b65b9569a3a60cb272

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.949370Z digest=sha256:6182be96d292716e00bbad3c5c5bf883d4f000ebc9aa353528e22079ffa25de9

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.954294Z digest=sha256:a24d3cbf79343332c3b7c60a0f0c4bda7edd2a380bf0fed5e6d2dd5d7edc1423

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=sha256:373f98974065c3e17fce3c5d2edfe2597535ac6e2f4115f3cf776486e27cbb8e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.966855Z digest=sha256:4c4a1bbbb5c37b8abdc14f52bbd911f93eea8b84619b4e0d42b9bfba3a07bd43

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.973040Z digest=sha256:a82f0b7a3ff214bc92f927d2d43db0d7237a381145793ece1fd93439418e8cc6

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.978297Z digest=sha256:bcc244089354bc5b0b48593a2966c09b3d81f9950d82e5af468014f715731e82

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.983766Z digest=sha256:0a3a069ccdc94a7ce35b65d503fbef658cdd8db5332ee1486b1b5a6ccd9b6f2a

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:c13fc08ea6e8d8df8ca098369ea894d5a9c0367d30f02602ddd8577d8e1c58ef

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.995801Z digest=sha256:a72e8f4a4a8efa15fdeea8b54d490803592a8f8bc7f86148b66c239fb8ec5e05

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.001179Z digest=sha256:baf574e7b41a2b56d11a89a8f7fb172d50ab44eeb805d6e7547972fb35a30e54

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=sha256:3c04c31bc18fd345f27f22a35b1c64e105d4cdbb99c51243ead2851bd5825061

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.012459Z digest=sha256:fcca7acabded68e972804f9cc2303df191b2a68924763b560df7beeb047aac8a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.017525Z digest=sha256:b30ae64145f87e98972fa1488a66473f0fe3a30879d941c45da6d3e4e68407cd

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.022447Z digest=sha256:21861df04aba10037249a25a71d594dacc68b398023d31004bb7e5290f6a21fb

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.027319Z digest=sha256:f31b94e2ecf662f2eee7feda1dc7162668b44a3620abc87ca8afde122d0d4d1a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.032274Z digest=sha256:ac3ffcb5ea4776a408b0c12a2d615a8b34d52fdb0ddf12bbf44afc7da836d35b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.037284Z digest=sha256:7de4653b79df0de7c55ea1c7bd10851bbdff92016c72d06019e653d73ce62a9f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.042143Z digest=sha256:c1fa61e298c64e860e0bbcbbbad2d7d24033257f0c6bb054e1e034d72e0e31b3

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.047274Z digest=sha256:b65ddc5c7b87bb70521d6d8de0e8d631eedf405fcd8c2bc2cbe825f68d382cd6

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.052084Z digest=sha256:b466287c36b3ca495316ce176422fae4707771bbc5db1a228df35637320b5564

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.057363Z digest=sha256:79fbf2ae084b7bf1365d4b74189524b5a2c930c3e93de02cb067e62b377e1b68

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.062269Z digest=sha256:3cf94d58d4b3bdfc86b3924cc00db5eb433b790ad8665734509d6fda173eae91

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.067535Z digest=sha256:d6bd4e958d15ce02fb9384ed8606b41f7f85775a14b3c36831373f4a9f001357

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.072433Z digest=sha256:e3b31de2e2b97217d6137e4889c112a0f92b96858e06552e411020895eadac92

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.078011Z digest=sha256:52cbea1c761b0f0be1112576853220b4befae9caf3fbec744bf55f5afc3e0f73

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.084002Z digest=sha256:a4da4c14904aaf6a7475a31ca117e13d08a0565ec638327b1482f7f4f1cd891d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.089136Z digest=sha256:48a96de6c1280a89bcd59162fd57fbdd0fc51a834151263ddbc9b829daef4231

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.094229Z digest=sha256:f51e3d3e0eccb26075c8db569c8f7f57557090e48ff00cd9630d988d2a7983bb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T19:45:54.008353Z digest=sha256:89c3277a143d1aa9f2d2eaa32b4c6c4962df72b5475f0e430532e12e63948154

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T07:22:21.729255Z digest=sha256:fb646bdcfd6ee073b3aa2fb70661698f97d6ebbcefcbc409e73f21ce485f781b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-01T06:35:07.063743Z digest=sha256:f91a698c211065f551e3b043396e4b32387fd6b630f9db5f96e31040d6fc1786

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=sha256:30d5c06d2b79d06747088008a89038b73b110fa75e041c57a0eb10752184fadf

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=sha256:12971ba4ca1524c775c3df49db777ed9d198074430474ab69794c617b8e8bbea