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Paper Citation Record · LEDGER

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models

As of 11 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2412.12720.

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

pith.paper-citation-record.v1
2412.12720 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:02:07.579594Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

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  • verified fuzzy29
  • unresolved7
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 98e95b3e-3781-44cd-b9ca-47abe1da556e · outbound

This paper cites Spectral gap estimates for mixed p-spin models at high temperature.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Spectral gap estimates for mixed p-spin models at high temperature

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 0d95bae8-fcbf-44e3-b06e-fdb604daeb9a · outbound

This paper cites Entropic independence: optimal mixing of down-up random w alks.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Entropic independence: optimal mixing of down-up random w alks

Reference 2

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 50b55d39-ce84-47b0-8241-33fa127dd398 · outbound

This paper cites Universality of Spectral Independence with Applications to Fast Mixing in Spin Glasses.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Universality of Spectral Independence with Applications to Fast Mixing in Spin Glasses

Reference 3

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 05eae6fd-7772-43d6-9fa6-7f06f46ece13 · outbound

This paper cites Tr ickle-Down in Localization Schemes and Applications.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Tr ickle-Down in Localization Schemes and Applications

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 02157ca7-0740-44b9-b2b4-727d8aed875c · outbound

This paper cites Random Matrices and Complex- ity of Spin Glasses.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Random Matrices and Complex- ity of Spin Glasses

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 4305d940-efb4-4bfd-a6bc-2f73bd784d11 · outbound

This paper cites Polynomials and multi linear mappings in topological vector-spaces.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Polynomials and multi linear mappings in topological vector-spaces

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 2b214600-7894-48bb-95c2-cfa8a24eb1aa · outbound

This paper cites Sudakov–Fernique post-AMP, and a n ew proof of the local convexity of the TAP free energy.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Sudakov–Fernique post-AMP, and a n ew proof of the local convexity of the TAP free energy

Reference 7

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 82b47f0b-a1a2-4c9e-82de-c819b4403cb4 · outbound

This paper cites An Almost Constant Lower Bound of the Isope rimetric Coefficient in the KLS Conjecture.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models An Almost Constant Lower Bound of the Isope rimetric Coefficient in the KLS Conjecture

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 6fca3a06-6b63-4201-b564-df83527bc910 · outbound

This paper cites Hit-and-run mixing via localization schemes.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Hit-and-run mixing via localization schemes

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation e5bee208-57f5-4f26-a1b8-001ef2d76b67 · outbound

This paper cites Localization Schemes: A F ramework for Proving Mixing Bounds for Markov Chains.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Localization Schemes: A F ramework for Proving Mixing Bounds for Markov Chains

Reference 10

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 3a4fcc64-df01-48b7-99e9-b99b88964052 · outbound

This paper cites Injective norm of real and complex random tensors I: From spin glasses to geometric entanglement.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Injective norm of real and complex random tensors I: From spin glasses to geometric entanglement

Reference 11

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Source-reported events for the cited work

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Observation d294cac0-4a6c-43b8-84f4-cc2e2b1e6f64 · outbound

This paper cites The Description of a Random Field by M eans of Conditional Probabil- ities and Conditions of Its Regularity.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models The Description of a Random Field by M eans of Conditional Probabil- ities and Conditions of Its Regularity

Reference 12

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verified fuzzy
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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 3d9c76f5-319e-4ef3-8b6c-f0f653d0c283 · outbound

This paper cites Fast relaxation of the random field Ising dynamics.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Fast relaxation of the random field Ising dynamics

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 10d24e73-f8c1-40ee-bdf0-c20c5212106e · outbound

This paper cites An Information- Theoretic View of Stochastic Localization.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models An Information- Theoretic View of Stochastic Localization

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 2e657570-332c-43c2-9ba5-d30d4746bc7b · outbound

This paper cites Sampling from Mean-Field Gibbs Measures via Diffusion Processes.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Sampling from Mean-Field Gibbs Measures via Diffusion Processes

Reference 15

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 66634f9b-64d8-497b-8e3f-9c2630d71213 · outbound

This paper cites Sa mpling from the Sherrington- Kirkpatrick Gibbs measure via algorithmic stochastic loca lization.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Sa mpling from the Sherrington- Kirkpatrick Gibbs measure via algorithmic stochastic loca lization

Reference 16

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verified fuzzy
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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 5b00e3f7-63fb-458e-bf6a-b62e19d07519 · outbound

This paper cites Analysis of high-dimensional distributions using pathwis e methods.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Analysis of high-dimensional distributions using pathwis e methods

Reference 17

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 1d4acff6-877a-4777-9e97-b862d81e218d · outbound

This paper cites Gaussian-width gradient complexity, re verse log-Sobolev inequalities and nonlinear large deviations.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Gaussian-width gradient complexity, re verse log-Sobolev inequalities and nonlinear large deviations

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 59ed9d66-13b3-43ce-bc3a-deed2f81686d · outbound

This paper cites Taming correlations through entropy-effi cient measure decompositions with applications to mean-field approximation.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Taming correlations through entropy-effi cient measure decompositions with applications to mean-field approximation

Reference 19

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 73e7397d-9c22-4ada-87f4-28c4e2bd587f · outbound

This paper cites Thin Shell implies spectral gap up to Poly log via a Stochastic Localization scheme.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Thin Shell implies spectral gap up to Poly log via a Stochastic Localization scheme

Reference 20

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 92ac680c-29f9-4211-85dd-5b2e4c89ab1b · outbound

This paper cites Concentration on the Bool ean hypercube via pathwise stochastic analysis.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Concentration on the Bool ean hypercube via pathwise stochastic analysis

Reference 21

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Observation 30f3ad44-4742-4a23-80b3-5db5cd79c779 · outbound

This paper cites A sp ectral condition for spectral gap: fast mixing in high-temperature Ising models.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models A sp ectral condition for spectral gap: fast mixing in high-temperature Ising models

Reference 22

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 89a9e43f-6d12-4c8b-a808-34aba948bf1c · outbound

This paper cites Stability of the Shann on-Stam inequality via the F¨ ollmer process.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Stability of the Shann on-Stam inequality via the F¨ ollmer process

Reference 23

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 4ee25c16-4926-4091-8f02-2a49b9fec6b7 · outbound

This paper cites Log concavity and concent ration of Lipschitz functions on the Boolean hypercube.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Log concavity and concent ration of Lipschitz functions on the Boolean hypercube

Reference 24

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 333a7d7c-ec22-4218-8219-6d0b123664c2 · outbound

This paper cites An introduction to probability theory and its applications.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models An introduction to probability theory and its applications

Reference 25

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation f1fb7e66-be44-4bf2-a45b-65faaaad4fb3 · outbound

This paper cites Sampling with flows, diffusion, and autoregressive neural networks from a spin-gl ass perspective.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Sampling with flows, diffusion, and autoregressive neural networks from a spin-gl ass perspective

Reference 26

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verified fuzzy
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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 744721b9-987f-4773-8510-7eaf2aaeb451 · outbound

This paper cites Weak Poincar\'e Inequalities, Simulated Annealing, and Sampling from Spherical Spin Glasses.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Weak Poincar\'e Inequalities, Simulated Annealing, and Sampling from Spherical Spin Glasses

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:02:07.515033Z digest=sha256:4543c0d7eb2dac98e79d0d57eb4615fdb6a8c54939985525cf6883d14fe8c9fe

Observation a3f7be78-62d1-45f4-a3f3-6ca46658134d · outbound

This paper cites Sampling from Spherical Spin Glasses in Total Variation via Algorithmic Stochastic Localization.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Sampling from Spherical Spin Glasses in Total Variation via Algorithmic Stochastic Localization

Reference 28

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no resolver link, observed 2026-08-11T14:02:07.521195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:02:07.521195Z digest=sha256:150c52d74b0dc812bedc5b76e04783cdcddce8cf97275506557e6bfe1db54d4d

Observation dbcb0e59-d64f-4414-9797-2dbd30409538 · outbound

This paper cites Isoperimetr ic problems for convex bodies and a localization lemma.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Isoperimetr ic problems for convex bodies and a localization lemma

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-11T14:02:08.045644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation b5c305f2-1b46-4ccb-a1d5-09ca221c3b7f · outbound

This paper cites Bourgain’s slicing pr oblem and KLS isoperimetry up to polylog.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Bourgain’s slicing pr oblem and KLS isoperimetry up to polylog

Reference 30

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raw_fallback, observed 2026-08-11T14:02:08.024216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T14:02:07.533064Z digest=sha256:4af63757b6b22c488fb17bf1bf0ba322c3a96bbee0b49cb566147d89dda99b36

Observation e99cdb7e-7b11-4a94-9304-1573a438d566 · outbound

This paper cites Spectral monotonici ty under Gaussian convolution.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Spectral monotonici ty under Gaussian convolution

Reference 31

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T14:02:07.539078Z digest=sha256:2ec48a892cf0283d035c83f12bc84069b64476bb54febff741e763853c15bd9d

Observation 6ea228dc-7b19-4045-9e87-2be52d92cd20 · outbound

This paper cites Eldan’s stochastic localization and the KLS con- jecture: Isoperimetry, concentration and mixing.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Eldan’s stochastic localization and the KLS con- jecture: Isoperimetry, concentration and mixing

Reference 32

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raw_fallback, observed 2026-08-11T14:02:07.979563Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 9485b2d4-0ba0-4b54-99ee-881c1360bb00 · outbound

This paper cites Markov chains and mixing times.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Markov chains and mixing times

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-11T14:02:07.956364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T14:02:07.550200Z digest=sha256:4e861d0b239de3157ecd7669389e8fc11c5ca747cfb0f188862249f28ec048ae

Observation d1b8f3b1-8cbf-46cd-9d1d-a2b9131d2887 · outbound

This paper cites Fast Mixing in Sparse Random Ising Models.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Fast Mixing in Sparse Random Ising Models

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:02:07.709837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T14:02:07.556498Z digest=sha256:f2a38ac1531d7ab7292026b95a27b200866fd3307c324696b394ecc6b2c682c5

Observation 21bda488-ab41-424e-80e2-5e655edf4f0e · outbound

This paper cites Sampling, Diffusions, and Stochastic Localization.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Sampling, Diffusions, and Stochastic Localization

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T14:02:07.562214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:02:07.562214Z digest=sha256:ea3ca72aba6c0610d0320856ce8ba4a4b5474712c6815095a6ce9dd18b439fb9

Observation 22ff8ea8-17c3-41f7-aca1-269d3e59058f · outbound

This paper cites Posterior Sampling in High Dimension via Diffusion Processes.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Posterior Sampling in High Dimension via Diffusion Processes

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T14:02:07.568933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:02:07.568933Z digest=sha256:bccf24f8d329ded75d75f7a225502049db7212774775ddd2471a8be602b0c1a0

Observation c6bc5497-ddd6-4a97-afb1-97a0c9a09edf · outbound

This paper cites Mathematical Aspects of Mixing Times in Markov Chains.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Mathematical Aspects of Mixing Times in Markov Chains

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:02:07.930931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T14:02:07.574323Z digest=sha256:4e015f0fdb75496f6abf2590dd3859575cf872ce57afcda388664a0e3025c3e8

Observation 5db07aa2-6abf-4a08-8b81-7a6ec57e3e32 · outbound

This paper cites Mixing Phases and Metastability for the Glauber Dynamics on the p-Spin Curie-Weiss Model.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Mixing Phases and Metastability for the Glauber Dynamics on the p-Spin Curie-Weiss Model

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T14:02:07.579594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:02:07.579594Z digest=sha256:81a3c0fbd98f325c6024d6cda7c45eb50bffe42f06fc11092705ddedf0aee929

Pith citing papers

No inbound Pith citation observations are available.