Pith. sign in

Paper Citation Record · LEDGER

Sampling and Identity-Testing Without Approximate Tensorization of Entropy

As of 11 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2506.23456.

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

pith.paper-citation-record.v1
2506.23456 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:54:43.789710Z

measured 36 of 36 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-07T14:09:03.985338Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T00:46:13.776972Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact1
  • verified fuzzy27
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c6cdbf62-b1c3-43b1-834b-518edaa6a2bb · outbound

This paper cites Optimal testing for properties of distributions.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy Optimal testing for properties of distributions

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:44.641460Z

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=arxiv_source observed=2026-08-06T21:54:03.324122Z digest=sha256:5cca35a1f3ba257afaeff60709da74c66b04e28a361d6bbfbfbe5d125785c6da

Observation 42453882-1caa-4b0a-9cc7-8ca4c7d5d833 · outbound

This paper cites Finite-sample concentration of the multinomial in relative entropy.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy Finite-sample concentration of the multinomial in relative entropy

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:44.613982Z

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=arxiv_source observed=2026-08-06T21:54:42.595682Z digest=sha256:f127af6c0f260a8e8e304ddbfa413c2652f3465a8043b544790d02bfac43ff8b

Observation f635addc-875c-471f-9381-92b3b4272752 · outbound

This paper cites Entropic Independence I: Modified Log-Sobolev Inequalities for Fractionally Log-Concave Distributions and High-Temperature Ising Models.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy Entropic Independence I: Modified Log-Sobolev Inequalities for Fractionally Log-Concave Distributions and High-Temperature Ising Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T21:54:42.607427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:54:42.607427Z digest=sha256:bdaaa176f77789e00838753ebb4e6a051d95b6d7c10837c52ce114132f1d2c94

Observation 4aff88f7-be74-4534-92d1-0f3b4e21e5ce · outbound

This paper cites Property testing of joint distributions using conditional samples.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy Property testing of joint distributions using conditional samples

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:44.591949Z

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=arxiv_source observed=2026-08-06T21:54:42.722209Z digest=sha256:800548933b2d8e0d8f9511eba3e77d298444314e4bd1fcf57eaddf04cb3edb3b

Observation 244b12e0-450a-4d65-a039-a100f9ff934e · outbound

This paper cites On mixing of Markov chains: Coupling, spectral independence, and entropy factorization.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy On mixing of Markov chains: Coupling, spectral independence, and entropy factorization

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:44.566972Z

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=arxiv_source observed=2026-08-06T21:54:42.809103Z digest=sha256:c72b9e59e98eba998b6152162ee00be766ff6dae743acc99faafa201cc80378d

Observation 0ef35318-e958-4789-a15f-0757b3ea5098 · outbound

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

Sampling and Identity-Testing Without Approximate Tensorization of Entropy Complexity of high-dimensional identity testing with coordinate conditional sampling

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:44.539795Z

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=arxiv_source observed=2026-08-06T21:54:42.889255Z digest=sha256:98b8c404fb70386373e8c6a736c8c56b397d98e83909ccca121e96953aea9eaa

Observation cb89621f-1af2-4d95-824f-9ffbfa05f81b · outbound

This paper cites -Entropic Measures of Correlation.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy -Entropic Measures of Correlation

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:44.516696Z

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=arxiv_source observed=2026-08-06T21:54:42.951807Z digest=sha256:ecd8d6bc39f22fff40b230bf58573c0f2152ca26c63f9324ade0b04e5debf0ee

Observation 5db15ba8-dba4-4348-ab82-9c77aeec3c6d · outbound

This paper cites Minimum contrast estimators on sieves: exponential bounds and rates of convergence.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy Minimum contrast estimators on sieves: exponential bounds and rates of convergence

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:44.497616Z

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=arxiv_source observed=2026-08-06T21:54:43.026607Z digest=sha256:1dd59ffaf0cdb4368cde945faa1b6a147f6f93c55ea4146d715e2c20664c828c

Observation 378bb629-1f4d-49a3-9db0-fe16708bc5cd · outbound

This paper cites Quantum state certification.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy Quantum state certification

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T21:54:43.088144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:54:43.088144Z digest=sha256:b77dcdce912351a2467a530baa464dc3362f67e719ad6562294d781ade42774e

Observation ff74cf7d-92a2-4085-89ac-25de1656e720 · outbound

This paper cites Modified logarithmic Sobolev inequalities in discrete settings.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy Modified logarithmic Sobolev inequalities in discrete settings

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:44.451140Z

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=arxiv_source observed=2026-08-06T21:54:43.128691Z digest=sha256:3658a144b487bd80464a45dae4b098f5afc15b07543ee5b535ff26ebe8485060

Observation 8fa1f657-6b03-4a8b-9e60-25d8b9e661df · outbound

This paper cites an unresolved cited work.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:54:44.432507Z

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=arxiv_source observed=2026-08-06T21:54:43.140736Z digest=sha256:13bbbd7e015a1097b1f89cf390be051332d55685638c6cc539ab1e114c34fb99

Observation 08f12c7a-f647-4947-ac2b-d9d3b6312dab · outbound

This paper cites Canonne, Xi Chen, Gautam Kamath, Amit Levi, and Erik Waingarten.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy Canonne, Xi Chen, Gautam Kamath, Amit Levi, and Erik Waingarten

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:44.406503Z

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=arxiv_source observed=2026-08-06T21:54:43.151552Z digest=sha256:cae8a7a328ca99cd9b23f68bffc4a720fd50b9763288b5caacd0ae1cb6ee579e

Observation d9a52864-2773-4615-bdbd-49ae2ebe927d · outbound

This paper cites Localization schemes: A framework for proving mixing bounds for Markov chains.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy Localization schemes: A framework for proving mixing bounds for Markov chains

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:44.386555Z

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=arxiv_source observed=2026-08-06T21:54:43.162073Z digest=sha256:b4409c1aebe9b10753b51d343943557879949da19604fc4d0df6d8a402a58938

Observation 91d4977d-72f9-4c64-82b0-ceb0ce8139b9 · outbound

This paper cites On the power of conditional samples in distribution testing.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy On the power of conditional samples in distribution testing

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:44.341252Z

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=arxiv_source observed=2026-08-06T21:54:43.241850Z digest=sha256:a054b9a1f0184e5ac5f0f7337f63db7b8ce835cdd31f021af6a937f40e73b6b8

Observation 193951b4-c4e3-4271-a422-eceba074f024 · outbound

This paper cites Fast sampling of satisfying assignments from random- SAT with applications to connectivity.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy Fast sampling of satisfying assignments from random- SAT with applications to connectivity

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:44.318828Z

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=arxiv_source observed=2026-08-06T21:54:43.303778Z digest=sha256:62e844a9f415ca4d2c9277a473e5056d5476a2df3a08999552658bc922c59c23

Observation 8c06dd01-9af5-4ee1-925f-530e4c902d5e · outbound

This paper cites Entropies, Convexity, and Functional Inequalities, On -Entropies and - Sobolev Inequalities.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy Entropies, Convexity, and Functional Inequalities, On -Entropies and - Sobolev Inequalities

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:44.298284Z

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=arxiv_source observed=2026-08-06T21:54:43.373916Z digest=sha256:bb8a218555ecd7100ae299e64f044e49febcb0b004f1087df2bcd2b2d9b400a7

Observation eb0b7c14-28e7-42f5-9e6b-9e9470b3a45e · outbound

This paper cites Learning and testing junta distributions with sub cube conditioning.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy Learning and testing junta distributions with sub cube conditioning

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:44.268408Z

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=arxiv_source observed=2026-08-06T21:54:43.450132Z digest=sha256:76f610eb71d218e4e89f5d8937f83f9d7020528cc57a987bf115302197c625d8

Observation d43fa729-f033-48e1-82fa-68f125737036 · outbound

This paper cites an unresolved cited work.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:54:44.247242Z

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=arxiv_source observed=2026-08-06T21:54:43.540446Z digest=sha256:c3cdd3dd2506d3c30dd697fc4871485156c41a375ddc2ee3ccb7aa5c40947a5c

Observation 9cf5a540-e92c-4509-8601-c05aea51688c · outbound

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

Sampling and Identity-Testing Without Approximate Tensorization of Entropy Optimal mixing of G lauber dynamics: E ntropy factorization via high-dimensional expansion

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:44.220472Z

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=arxiv_source observed=2026-08-06T21:54:43.614285Z digest=sha256:85143e1130c18c8fca69370681f924883bffc51011d5639607a91ef109008af9

Observation 253d6632-33e9-4d2e-bff7-5b2f78f1529d · outbound

This paper cites From algorithms to connectivity and back: finding a giant component in random k- SAT.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy From algorithms to connectivity and back: finding a giant component in random k- SAT

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:44.197679Z

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=arxiv_source observed=2026-08-06T21:54:43.636303Z digest=sha256:df4fb44e9d0926b03b2e76cf79d3d828489e77f435967a463a8b4cb60f1a06c6

Observation cc942c9a-1661-4772-a26c-d16cdb5bb955 · outbound

This paper cites Approximate tensorization of entropy at high temperature.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy Approximate tensorization of entropy at high temperature

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:44.172807Z

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=arxiv_source observed=2026-08-06T21:54:43.646717Z digest=sha256:0ee9c8872b3450573eb42b65df5a48ca84332cde1e8a60d2df0687f207f8b12e

Observation 5604d96a-e711-4e85-bbe6-81613343c5da · outbound

This paper cites Testing probability distributions underlying aggregated data.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy Testing probability distributions underlying aggregated data

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T21:54:43.656538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:54:43.656538Z digest=sha256:a248e405b4f5abdbd76e4574acb076088e08ed2c125afffa07e3cbf91543aa90

Observation 76313c00-3b09-4e6d-82ff-bfcd7a29ffbf · outbound

This paper cites Servedio.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy Servedio

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:44.139186Z

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=arxiv_source observed=2026-08-06T21:54:43.668239Z digest=sha256:c37e4b48957c9e27fc7b582ed6c6e79ddadb3315bae3f6f1e97d26614d0bbd92

Observation 46119479-0e7a-4d73-afbf-3e7bda6d4d26 · outbound

This paper cites Which distribution distances are sublinearly testable? In Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms , pages 2747--2764.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy Which distribution distances are sublinearly testable? In Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms , pages 2747--2764

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:44.120530Z

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=arxiv_source observed=2026-08-06T21:54:43.687661Z digest=sha256:9375a3e9c30916bbfc734568409aa007db296af59d1df0a183d30601470433b4

Observation c6d23332-0a54-43d7-9286-8035f4908f0a · outbound

This paper cites The design of experiments , volume 21.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy The design of experiments , volume 21

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:44.095575Z

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=arxiv_source observed=2026-08-06T21:54:43.699750Z digest=sha256:b0c6b7e78f4cb035c874ba22dfd75cf6ecfd421d5fc93c557317f83200071320

Observation 69167ee5-f1f2-4a0b-a882-07df57be91c9 · outbound

This paper cites Faster algorithms for testing under conditional sampling.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy Faster algorithms for testing under conditional sampling

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:44.075985Z

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=arxiv_source observed=2026-08-06T21:54:43.706436Z digest=sha256:4642e8f5906c225a843ad67260b3efe82206422b2ac9fc6a9d4084ebc2da0410

Observation 4c223744-2ee5-4c1b-9563-26b1ba3ad838 · outbound

This paper cites Flammia and Ryan O'Donnell.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy Flammia and Ryan O'Donnell

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T21:54:43.714823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:54:43.714823Z digest=sha256:e0d61a923c110c629f06a2a3916bc024f8057941b5e4e67fcaf4a10cb72e49af

Observation fe27d280-9e8a-4c7d-8f3e-e257f28698b3 · outbound

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

Sampling and Identity-Testing Without Approximate Tensorization of Entropy Weak Poincar\'e Inequalities, Simulated Annealing, and Sampling from Spherical Spin Glasses

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:54:43.844162Z

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=arxiv_source observed=2026-08-06T21:54:43.721749Z digest=sha256:3bf7a802fffa243237041387031bf68f826a0710a8fdbd0345f8bc3f445c503e

Observation 1ee84556-268a-4301-a140-99fc96096b98 · outbound

This paper cites Modified log- S obolev inequalities for strong- R ayleigh measures.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy Modified log- S obolev inequalities for strong- R ayleigh measures

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:44.044563Z

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=arxiv_source observed=2026-08-06T21:54:43.729026Z digest=sha256:a7c3188a3afb26e56084e9e20ff930d1bef4b98316dc59e35c88252b55860203

Observation 1a1c294c-3cef-4894-92f4-cec35ce26ba5 · outbound

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

Sampling and Identity-Testing Without Approximate Tensorization of Entropy Efficiently learning and sampling multimodal distributions with data-based initialization

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:44.023506Z

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=arxiv_source observed=2026-08-06T21:54:43.738482Z digest=sha256:569ef8804022de52f3e86a5c8caca5adb52c4b0a72206debaa43157157ba2222

Observation 21683aa9-e3d4-49f5-8499-7178d6d76e5f · outbound

This paper cites Logarithmic Sobolev inequality for some models of random walks.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy Logarithmic Sobolev inequality for some models of random walks

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:44.000798Z

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=arxiv_source observed=2026-08-06T21:54:43.746297Z digest=sha256:4478d06fa19a374792b1819c3e9f6b273f26e35815db252474d6ead73769f636

Observation 5949d80d-4476-4cff-9500-fc9b9157dbfa · outbound

This paper cites On tolerant distribution testing in the conditional sampling model.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy On tolerant distribution testing in the conditional sampling model

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:43.979724Z

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=arxiv_source observed=2026-08-06T21:54:43.767422Z digest=sha256:1ebcedacf51022f8164af6cb7c12e8f0c5ff677ae4ca45fda5aeb4c8e839365b

Observation a4e1d466-0e2f-4a24-b1f7-50130721db07 · outbound

This paper cites Estimating the effective support size in constant query complexity.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy Estimating the effective support size in constant query complexity

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:43.950641Z

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=arxiv_source observed=2026-08-06T21:54:43.774384Z digest=sha256:8096afb35e9e1eb88248430df234c8b7b2a669f8197f4b2088d5264149161712

Observation 539f7fca-f694-4844-a8f6-dd6842d258e9 · outbound

This paper cites an unresolved cited work.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:54:43.928332Z

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=arxiv_source observed=2026-08-06T21:54:43.784015Z digest=sha256:d3ddffc27b589da23de68b8a0841a4808f2915bc3e7a4fcda94aa2fa738c0892

Observation 6166448a-98b4-4cc3-954a-fe85eef4492e · outbound

This paper cites A sharp log- Sobolev inequality for the multislice.

Sampling and Identity-Testing Without Approximate Tensorization of Entropy A sharp log- Sobolev inequality for the multislice

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:54:43.899669Z

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=arxiv_source observed=2026-08-06T21:54:43.789710Z digest=sha256:244ed9dbd966df8a577e7886c687d345199eb6719b81779c846d4aa53255593d

Pith citing papers

Observation 95566587-9223-417f-abd6-f544e4ea2f1d · inbound

On Computing Total Variation Distance Between Mixtures of Product Distributions cites this paper.

On Computing Total Variation Distance Between Mixtures of Product Distributions Sampling and Identity-Testing Without Approximate Tensorization of Entropy

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:46:13.778511Z

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=arxiv_source observed=2026-05-07T14:09:03.985338Z digest=sha256:884d378f3b2133e598a1d4e1f665d1b2d667446e83ac9d786ffafa08577e017d