Pith. sign in

Paper Citation Record · LEDGER

Local Averaging Accurately Distills Manifold Structure From Noisy Data

As of 19 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2506.18761.

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

pith.paper-citation-record.v1
2506.18761 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:00:21.221637Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

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

measured 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

36 of 36 outbound references displayed

  • verified exact1
  • verified fuzzy27
  • unresolved7
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6b07eada-ed06-4c09-9b6f-7db11d0e6928 · outbound

This paper cites The estimation of the gradient of a density function, with applications in pattern recognition.IEEE Transactions on information theory, 21(1):32–40, 1975.

Local Averaging Accurately Distills Manifold Structure From Noisy Data The estimation of the gradient of a density function, with applications in pattern recognition.IEEE Transactions on information theory, 21(1):32–40, 1975

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:00:21.685906Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:00:20.980691Z digest=sha256:5fa254a1e1aa0c1db9523ee03851443439c299ae35c50a9da480153e1c44a288

Observation a9994178-aca8-4941-8b46-bf5bac8cc3aa · outbound

This paper cites A non-local algorithm for image de- noising.

Local Averaging Accurately Distills Manifold Structure From Noisy Data A non-local algorithm for image de- noising

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:00:21.674181Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:00:20.985397Z digest=sha256:432953ca8819dc9d6ed75aef4117bd8539a148f092ed67feea8abcc05c58c18c

Observation 60246db9-2211-473d-86a1-56422a3264f2 · outbound

This paper cites Non-local means denoising.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Non-local means denoising

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:00:21.661277Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:00:20.989323Z digest=sha256:369d5289ab649be74e522bb81ccf2279e6e478c6cd6503402cf05dd413976e9e

Observation 7fa43b35-add0-43a1-b21d-2447c6feb962 · outbound

This paper cites Roweis and Lawrence K.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Roweis and Lawrence K

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T19:00:20.993532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:00:20.993532Z digest=sha256:61d3516e197adec2e8de06814d41b6d5079560ab4798d18915d606aa3d81d5c4

Observation c7f5d03d-9e87-4ead-ab0e-3d5731a3f873 · outbound

This paper cites Manifold fitting, 2023.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Manifold fitting, 2023

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:00:21.642013Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:00:20.997397Z digest=sha256:e26d7f360306e488e4c50b66d60cf4ee3c4a79455f8a6050852342d6aecca392

Observation f5ac3550-d43e-433b-b3d2-22e1595afd75 · outbound

This paper cites Manifold fitting under unbounded noise.Journal of Machine Learning Research, 26(45):1–55, 2025.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Manifold fitting under unbounded noise.Journal of Machine Learning Research, 26(45):1–55, 2025

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:00:21.629503Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:00:21.001338Z digest=sha256:d4d851fec75b1086b3b214a46697f520a0232c2f15849fdcbd07d0219d59dab7

Observation 7d1664ab-4894-43ac-b9f2-97234d5442d0 · outbound

This paper cites Estimation of local geometric structure on manifolds from noisy data.Journal of Machine Learning Research, 26(64):1–89, 2025.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Estimation of local geometric structure on manifolds from noisy data.Journal of Machine Learning Research, 26(64):1–89, 2025

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:00:21.615216Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:00:21.005349Z digest=sha256:2c079a04909bf2fea9e58baf59343cd18d77b5938b0574ab598130d810b6b1b1

Observation bb157df9-20d9-4cc3-a468-9bcee3db3a79 · outbound

This paper cites Towardsatheoreticalfoundationforlaplacian-based manifold methods.Journal of Computer and System Sciences, 74(8):1289–1308, 2008.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Towardsatheoreticalfoundationforlaplacian-based manifold methods.Journal of Computer and System Sciences, 74(8):1289–1308, 2008

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:00:21.602030Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:00:21.009361Z digest=sha256:8b3be88107403ea2071bff9e4301421503d2d23d0cf1ad62df1092e9b01280e5

Observation 761ef7cd-7215-42db-950e-e211967f40e4 · outbound

This paper cites Local regularization of noisy point clouds: Improved global geometric estimates and data analysis.Journal of Machine Learning Research, 20(136):1–37, 2019.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Local regularization of noisy point clouds: Improved global geometric estimates and data analysis.Journal of Machine Learning Research, 20(136):1–37, 2019

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:00:21.589176Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:00:21.012982Z digest=sha256:910d40a5ec6810c246446ae998fa38b2f0d11cd418e68b7fddd141db611ba31c

Observation 78ee4eed-0753-4615-9d26-c1c64f2cf3ac · outbound

This paper cites Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-15T19:00:21.295794Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:00:21.016589Z digest=sha256:7990e66939aff4152b59d15b9fbabe83584a640b52ae4786b9ac5e091d8affc3

Observation cf2cd86a-c3cb-4da5-a9cf-30e1b852b98e · outbound

This paper cites Eine methode zur auffindung von gruppen.Biometrische Zeitschrift, 6(1):47– 48, 1964.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Eine methode zur auffindung von gruppen.Biometrische Zeitschrift, 6(1):47– 48, 1964

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:00:21.575192Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:00:21.020845Z digest=sha256:4fb6f27a1ff5b8acdebbaf0051716bfcf0ca3a98be482536dbc851d8d71746e6

Observation 5547cc91-e728-4338-afc1-4c9550295d02 · outbound

This paper cites Nonparametric ridge estimation.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Nonparametric ridge estimation

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:00:21.561509Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:00:21.024724Z digest=sha256:2ef1408a69c10b07b2188456a48cacd618a9e88c3e0c1dc613da7af57cbc7c14

Observation 7720111e-33a2-4635-8bbb-8770b256d0a1 · outbound

This paper cites Mean shift analysis and applications.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Mean shift analysis and applications

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T19:00:21.028422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:00:21.028422Z digest=sha256:f52d7d26dbe979ea07219d57d733bcab61413d24e56d7ac9d87345bc0b4b07cb

Observation f7b51963-111e-43cd-8b5a-7de37539e1cc · outbound

This paper cites On convergence of epanechnikov mean shift.

Local Averaging Accurately Distills Manifold Structure From Noisy Data On convergence of epanechnikov mean shift

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:00:21.540212Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:00:21.032128Z digest=sha256:356eb8f3829aca7c688f2164a426eac57a52439472820f16ac7a4cd9d99327b0

Observation de1ae69e-350e-43c3-be31-8cf327162e3c · outbound

This paper cites Gaussianmean-shiftisanemalgorithm.IEEETransactions on Pattern Analysis and Machine Intelligence, 29(5):767–776, 2007.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Gaussianmean-shiftisanemalgorithm.IEEETransactions on Pattern Analysis and Machine Intelligence, 29(5):767–776, 2007

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:00:21.527374Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:00:21.036187Z digest=sha256:dd503e135d34276020eeb946de2dffbb7f262d215ba1ad33e260755f40a74f62

Observation 318f7be7-e9df-4917-b30d-24c2fe49db9e · outbound

This paper cites Convergence analysis of mean shift.IEEE transactions on pattern analysis and machine intelligence, 2024.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Convergence analysis of mean shift.IEEE transactions on pattern analysis and machine intelligence, 2024

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:00:21.514973Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:00:21.039888Z digest=sha256:43177546173e4034bc0ea101d728a6dfda8c22040a6617500a5d434ce18db9e4

Observation e885d5da-38a4-4ca4-b98f-0205c2d0b2c9 · outbound

This paper cites Nonasymptotic rates for manifold, tangent space and curvature estimation.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Nonasymptotic rates for manifold, tangent space and curvature estimation

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:00:21.501788Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:00:21.043825Z digest=sha256:aaa1247bba491ce284d618a5c8715f7b9c5ee411edbbdd6c73f59524528dc51f

Observation 51c6d827-6868-4fd7-b698-0faa6d482ea0 · outbound

This paper cites Manifold blurring mean shift algo- rithms for manifold denoising.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Manifold blurring mean shift algo- rithms for manifold denoising

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:00:21.487573Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:00:21.047343Z digest=sha256:3b165d3ad6ca980e1a5334dced689e0d456523a16d752430596bc4c0b2ee8969

Observation 1c6abb89-b083-47f9-bad6-6dd0f2152bc6 · outbound

This paper cites Manifold Learning Using Kernel Density Estimation and Local Principal Components Analysis.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Manifold Learning Using Kernel Density Estimation and Local Principal Components Analysis

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T19:00:21.051027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:00:21.051027Z digest=sha256:7788fd2ee1f509497d6598e41bb3d1dba32853a8388ada37c63e95718895b2a8

Observation 3c7d4f64-4d81-4991-b73f-aed7e84306d1 · outbound

This paper cites Smooth manifold reconstruction from noisy and non-uniform approximation with guarantees.Computational Geometry, 40(2):156–170, 2008.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Smooth manifold reconstruction from noisy and non-uniform approximation with guarantees.Computational Geometry, 40(2):156–170, 2008

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:00:21.473194Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:00:21.055105Z digest=sha256:fe4da2744559f9b73a4f86ed882b7df0ebefa7078bb89b85fa93b510c9986559

Observation 1c854228-2bca-4ffc-a733-c438aedda937 · outbound

This paper cites Minimax manifold estimation.Journal of machine learning research, 13:1263–1291, 2012.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Minimax manifold estimation.Journal of machine learning research, 13:1263–1291, 2012

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:00:21.460335Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:00:21.059629Z digest=sha256:3c42e348ad7a30e00261f25050ccb1e6a44c6a219391dc414311265826f4cd08

Observation 57c43256-4793-4377-b729-6ea1b2613d4b · outbound

This paper cites Finding the homology of submanifolds with high confidence from random samples.Discrete & Computational Geometry, 39:419–441, 2008.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Finding the homology of submanifolds with high confidence from random samples.Discrete & Computational Geometry, 39:419–441, 2008

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:00:21.448230Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:00:21.063403Z digest=sha256:bbc396339b2c0e6e0d22a4619c97bc58427b6c67201df0984cc249307882505f

Observation 595f79a4-4c61-4dc1-86c5-f5e2e913dcdc · outbound

This paper cites Fitting a manifold of large reach to noisy data.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Fitting a manifold of large reach to noisy data

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T19:00:21.067085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:00:21.067085Z digest=sha256:de7290e7f3357964106686def55fc3e5ede9e418ae46ccdf8439528fd909dfce

Observation d0651457-b6eb-49ce-8c04-33260941bcbe · outbound

This paper cites Tenenbaum, Vin de Silva, and John C.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Tenenbaum, Vin de Silva, and John C

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:00:21.434599Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:00:21.070842Z digest=sha256:ff0021f2b00a3bb6716b760d8e712af003cc51613bbe91135c98722543fe70e5

Observation d6c57648-f142-4e02-a571-09c1fe538d55 · outbound

This paper cites Manifold denoising.Advances in neural information processing systems, 19, 2006.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Manifold denoising.Advances in neural information processing systems, 19, 2006

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:00:21.421834Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:00:21.074503Z digest=sha256:4a8e60f002625f95380f52f507cd9715b5681433a800b743666494546a89e5e0

Observation eb743bd7-cf35-485b-8888-998c435f4396 · outbound

This paper cites Fitting a manifold to data in the presence of large noise.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Fitting a manifold to data in the presence of large noise

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T19:00:21.078094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:00:21.078094Z digest=sha256:7f619a259ba11ac4a97e751b5f12397e1fe27d42d5153514aaff5f4453ea7ed0

Observation f832d0e7-c51a-4377-a461-29a452ce16b3 · outbound

This paper cites Cambridge university press, 2018.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Cambridge university press, 2018

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T19:00:21.082091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:00:21.082091Z digest=sha256:4074347345c0401ed291206896b98b5e8232aab4cf4e7f5a7edf4ed0bc4ff085

Observation 9d2e2825-04c6-4d8b-b335-81c26dc18dfb · outbound

This paper cites Wainwright.High-Dimensional Statistics: A Non-Asymptotic Viewpoint.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Wainwright.High-Dimensional Statistics: A Non-Asymptotic Viewpoint

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:00:21.400375Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:00:21.086147Z digest=sha256:05c1593f102077267732af20fc3341dd65fca519017b88bb51b2ac7a97e5ac12

Observation 8a9986c2-6e43-4139-adc4-f062e6a83c02 · outbound

This paper cites Existence, uniqueness and regularity of the projection onto differentiable manifolds.Annals of global analysis and geometry, 60(3):559–587, 2021.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Existence, uniqueness and regularity of the projection onto differentiable manifolds.Annals of global analysis and geometry, 60(3):559–587, 2021

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:00:21.387783Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:00:21.089709Z digest=sha256:9d59f0b174e6301d2a2b0d0f7131b639073e8438df2b6e0b5f609cbcc6fc2556

Observation 48697a17-90cf-4cb0-9747-8081319b3ba7 · outbound

This paper cites Adaptive estimation of a quadratic functional by model selection.Annals of statistics, pages 1302–1338, 2000.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Adaptive estimation of a quadratic functional by model selection.Annals of statistics, pages 1302–1338, 2000

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T19:00:21.093413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:00:21.093413Z digest=sha256:603dc49346d7f9fb20094ff0113aa480f03fbb27b505f002bfb43a759d452b61

Observation 86ed45b9-5edb-4b95-84e7-8f3d20ee3044 · outbound

This paper cites Tpopt: Efficienttrainabletemplateoptimziationonlow-dimensionalmanifolds.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Tpopt: Efficienttrainabletemplateoptimziationonlow-dimensionalmanifolds

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:00:21.366841Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:00:21.097069Z digest=sha256:2c7c03053a176e671b1b2e5a2df1fa61207e64fa6c7399b92cb929c53bac834e

Observation d4293542-5d5c-40d5-a0ab-c2a4fb90261a · outbound

This paper cites 1 Nmb NmbX ℓ=1 zℓ−E.

Local Averaging Accurately Distills Manifold Structure From Noisy Data 1 Nmb NmbX ℓ=1 zℓ−E

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:00:21.354669Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:00:21.100523Z digest=sha256:7c7f1359d98a72f2763a5049890311f4cad29c2da17986bb858eb6b66edab91e

Observation f4ac6523-40e4-41a6-85ba-4b42388a1d3f · outbound

This paper cites d(x,M)1 ∥z∥≤ 1 6τ # ≥E.

Local Averaging Accurately Distills Manifold Structure From Noisy Data d(x,M)1 ∥z∥≤ 1 6τ # ≥E

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:00:21.343612Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:00:21.105312Z digest=sha256:f50e481c9e6bf622b467ec0f6ad2ba9db481838ab9af44f38a2c7d91c1d014fd

Observation 94d5efa9-985c-4527-849b-aff5c36925a8 · outbound

This paper cites Observe that Cn−Cn+1 =−log(n+ 1)−(n+ 1.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Observe that Cn−Cn+1 =−log(n+ 1)−(n+ 1

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:00:21.330803Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:00:21.109160Z digest=sha256:6459884fe44781524e802dd4844e2a48849a300915c3206fbfb0048a85bd2960

Observation 9197ac0e-6c80-41ed-91d7-1a0ed79c7d02 · outbound

This paper cites an unresolved cited work.

Local Averaging Accurately Distills Manifold Structure From Noisy Data Unresolved cited work

Reference 35

Resolution
parse uncertain
raw_fallback, observed 2026-08-15T19:00:21.318965Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:00:21.113210Z digest=sha256:269491eda55cb49f18d0d386241d6c756d7e4f600877a02899bbe1f21e9c6964

Observation 1d500aef-21ee-49f3-8d89-1559de9baa32 · outbound

This paper cites 1 N NX ℓ=1 zℓ−E.

Local Averaging Accurately Distills Manifold Structure From Noisy Data 1 N NX ℓ=1 zℓ−E

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:00:21.308031Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:00:21.221637Z digest=sha256:d4a02deeb4dcf4f9728c82ac1557b065b9c39f2a570681aa9cf0b6d6ebdc2730

Pith citing papers

No inbound Pith citation observations are available.