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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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.815578Z digest=sha256:59a926cde41bcd1dd1974ed5da9a38b2b21e4bf11a6c5028468e70cc375e2d4b

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 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.833135Z digest=sha256:2e629a80bc2dab73a10227ab52e72cda6e9a5d367e94239df30d1ecb3520e951

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.916397Z digest=sha256:5947b40db7d8027c2982a3e6fec48e76837b9131cbb3d888b283ede22ee3c388

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 2026-08-09T06:31:02.800959+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.931822Z digest=sha256:67aa099466a552b81d6d8cb90d874db32bd9d5aeeb39a397a827cf633b0bc73d

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.937621Z digest=sha256:138b9188c1b817ec0520ea7b8a1f9efc6dc74b3063551218c7ede3a70874cbd7

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.943400Z digest=sha256:49d5b2f15d5deb3143a1ede2a07c47921c37fe1b4a7d853342f2949552ace82d

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.949370Z digest=sha256:020d881b8e4e5e402ef020cac3151bc4c98a61bdc4b7d859567d3cddb1260ce1

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.954294Z digest=sha256:215988b8587b250c354321b14c595dfc1037d0d59b61bbbf911a88a9e52ff00e

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.966855Z digest=sha256:00af108a5b48dbf0a8a45b3b66276f8482e04789c31511d21761cfab7d921480

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.973040Z digest=sha256:5397a4ab9b38cdb6ca61c82df3f0b28ed05f39a4de654c33360957bb48df1898

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.978297Z digest=sha256:0c19858e1de679d343c37291a4865a6a9abb7f06a20112ed2963910289b46ed3

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.983766Z digest=sha256:ec48b19516cf4cdda223e0cad89118e32df910344411abbcad90cf0edb421a24

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:15.995801Z digest=sha256:ff9b436a3a65e789c25244036773c284c5939c722990f8209d256cdc2898f82b

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.001179Z digest=sha256:6a842a0c5cf61bd4306378d3e1fa7a0e4330511a4317b722f232e1c964ca753f

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.012459Z digest=sha256:862085e22c6c0303bf3d92bfc3ff9d964b01e37f6b6da7d3a8a3ad01c28af188

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.017525Z digest=sha256:1be303028235b74d3cfb1398a7bade156f84a4f5a3c41746f4f7ee7657f56fd2

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.022447Z digest=sha256:0d1ce4b3147ed8aad58a6ae85a9790ba345551eeca1394bb3cab63215e908a0f

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.027319Z digest=sha256:bf6606d207e58a3840fa774ac20b012d9996aec823a8f00e24fbb125fd2553ea

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.032274Z digest=sha256:ba497fc6a56ac47b457a108223b2bf84dfc96e3944e494c0aaf8bf1a240d0375

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.037284Z digest=sha256:5f35d0de1fa149b9178765e0dd845857ce7e64e3776cf042e91a71a7a3379d9d

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.042143Z digest=sha256:f08c5061b84f8741e850aeb8a7032cc4bbe76715c50189513a8d40a97708ba0d

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.047274Z digest=sha256:8cfa1d54dcccad8bb40664b311ab509533c7b6a3523d06336d45cba7f4c7dda1

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.052084Z digest=sha256:911ae15cce1e1190897b6882e856483715162e49cc7784c7494f0774e35a0bd2

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.057363Z digest=sha256:1e574e21f1627d3ee2ce5dbb4c59836082e97a5213a9f04f03a9cf31e6241fba

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.062269Z digest=sha256:f57bf3d0f18d229d21cc80861858ca40d1b8f507abbd80f1283ce7bd736296bb

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.067535Z digest=sha256:593bdd617e75740d6ee40d2ec423e371ae24969741ffe9238aba6b0918157109

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.072433Z digest=sha256:aedf1e591787ccc39609d19325b742956515312e85b9e7dc532aff795ab96e71

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.078011Z digest=sha256:db24263f2f90287de2e9dfe51cb3df6a1ea0d862fc2b8f1cc4bade0eed895930

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.084002Z digest=sha256:7bcab6664ede28ad40486c2a57264e9dd57b5bce408f003a8db58b01918e50aa

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.089136Z digest=sha256:a5151a179425260361c95aeabbb64172b0d2f10495cc4662584ebfd1748e746c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:51:16.094229Z digest=sha256:0275947fd412a0accc6fdbe2bf3de7e7b6eed88ce39c3a60fba6d219347a5f57

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T19:45:54.008353Z digest=sha256:7bf9cdaf5fe16b11f2a413701dd51470fb3d5eddaf489071a1f8177be485b815

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T07:22:21.729255Z digest=sha256:0b16ded77f1351e7a654e42aa707ecd0809652cf27d7135f04a7630981b343b4

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-01T06:35:07.063743Z digest=sha256:c4f4e6913d324de6b5f4c07826e69f2877916940e2c64df0d3c0097887a27181

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