Paper Citation Record · LEDGER

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances

As of 16 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2502.08873.

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

pith.paper-citation-record.v1
2502.08873 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:28:22.876840Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

32 of 32 outbound references displayed

verified exact6
verified fuzzy16
unresolved10
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1bc898ca-a612-4bef-95bb-9286fcc9f0a5 · outbound

This paper cites Fast, provably convergent irls algorithm for p-norm linear regression.

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances Fast, provably convergent irls algorithm for p-norm linear regression

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:28:23.759016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9ff6175a-dd2a-4243-8fa2-af41cd6e103d · outbound

This paper cites Asymptotic behavior of $\ell_p$-based Laplacian regularization in semi-supervised learning.

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances Asymptotic behavior of $\ell_p$-based Laplacian regularization in semi-supervised learning

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-07T23:28:23.157279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9625e2ae-168e-4566-9e9b-84fed915253a · outbound

This paper cites A continuous model of transportation.

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances A continuous model of transportation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:28:23.744080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation db37bf1e-75ae-481d-aca0-f89d35075337 · outbound

This paper cites Consistency of lipschitz learning with infinite unlabeled data and finite labeled data.

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances Consistency of lipschitz learning with infinite unlabeled data and finite labeled data

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T23:28:22.524922Z

Source-reported events for the cited work

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Observation 2490a4d8-b4f6-407c-8bf8-65ade40a749d · outbound

This paper cites Graphlearning python package, January 2022.

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances Graphlearning python package, January 2022

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T23:28:22.529836Z

Source-reported events for the cited work

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Observation 43ecb55a-f1ba-474d-aaec-c8dbf3ee93b7 · outbound

This paper cites and Ettehad, M.

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances and Ettehad, M

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:28:23.730132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8fc89889-ad83-48cd-b36d-2fb48fbf6422 · outbound

This paper cites Poisson learning: Graph based semi-supervised learning at very low label rates.

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances Poisson learning: Graph based semi-supervised learning at very low label rates

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:28:23.716449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 89020ce7-61f9-44ec-8392-12d65bb3557a · outbound

This paper cites The MNIST database of handwritten digit images for machine learning research.

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances The MNIST database of handwritten digit images for machine learning research

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:28:23.661589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ea08a005-2d30-43f3-82f5-ab00e462c486 · outbound

This paper cites and Graff, C.

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances and Graff, C

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:28:23.565096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 30c08e45-38a3-4263-b940-bddcf5caadaf · outbound

This paper cites Algorithms for semisupervised learning on graphs.

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances Algorithms for semisupervised learning on graphs

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:28:23.547789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ca474a0c-bbcf-4f74-8394-0e881994b3bb · outbound

This paper cites Analysis and algorithms for p-based semi-supervised learning on graphs.

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances Analysis and algorithms for p-based semi-supervised learning on graphs

Reference 11

Resolution: verified exact; doi, observed 2026-08-07T23:28:22.953240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 36d8f779-6e42-4d52-a4b7-e369bcb163f4 · outbound

This paper cites an unresolved cited work.

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-07T23:28:23.533885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d6486281-28fd-430d-bdf4-c47971cb0169 · outbound

This paper cites P., Macedo, I., and Pong, T.

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances P., Macedo, I., and Pong, T

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:28:23.519437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a4e22e89-6d06-40c2-8e1e-e9db4734405d · outbound

This paper cites Continuous partitioning for graph-based semi-supervised learning.

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances Continuous partitioning for graph-based semi-supervised learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:28:23.505657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5b31cc77-0402-4e97-be40-727e7ebc1b28 · outbound

This paper cites Auction dynamics: A volume constrained MBO scheme.

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances Auction dynamics: A volume constrained MBO scheme

Reference 15

Resolution: verified exact; doi, observed 2026-08-07T23:28:22.938704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e710dcf1-db8b-4861-afad-09c55734d0af · outbound

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Robust Graph-Based Semi-Supervised Learning via $p$-Conductances Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-07T23:28:23.491598Z

Source-reported events for the cited work

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Observation 0fc3ac85-6cd4-4197-b5ab-ed72fdce015c · outbound

This paper cites an unresolved cited work.

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances Unresolved cited work

Reference 17

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Source-reported events for the cited work

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Observation 0d5028a1-b647-4eec-8cdc-59d666e7ae56 · outbound

This paper cites and Hinton, G.

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances and Hinton, G

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:28:23.468514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 720afcad-3d02-450f-89f7-0facf4e82182 · outbound

This paper cites an unresolved cited work.

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-07T23:28:23.453710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 04d3f5a4-bbc6-445a-8030-aa14c1e1af78 · outbound

This paper cites Combinatorics and Geometry of Transportation Polytopes: An Update.

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances Combinatorics and Geometry of Transportation Polytopes: An Update

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6d04d19-b276-417b-9f63-e4b62cac3dc0 · outbound

This paper cites Semi-supervised learning with the graph laplacian: the limit of infinite unlabelled data.

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances Semi-supervised learning with the graph laplacian: the limit of infinite unlabelled data

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:28:23.438481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ff933d48-503e-45cf-8655-c7f7b89f00e9 · outbound

This paper cites Computational optimal transport: With applications to data science.

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances Computational optimal transport: With applications to data science

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:28:23.383759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d90df035-2d35-44fc-b21d-8dacb3b610e6 · outbound

This paper cites Resistance Distance and Linearized Optimal Transport on Graphs.

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances Resistance Distance and Linearized Optimal Transport on Graphs

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-07T23:28:23.122999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 797ee743-34ac-4bf5-b870-ea0f20bcc500 · outbound

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Robust Graph-Based Semi-Supervised Learning via $p$-Conductances Unresolved cited work

Reference 24

Resolution: verified exact; raw_fallback, observed 2026-08-07T23:28:23.101877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7cec3b2a-d4ba-42f4-a87a-31d812160aa9 · outbound

This paper cites an unresolved cited work.

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances Unresolved cited work

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85837549-273b-4578-a148-aa228fc9ac43 · outbound

This paper cites and Herbster, M.

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances and Herbster, M

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:28:23.325672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 08fd179d-8c7c-4512-8425-482a4b45f9ca · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T23:28:22.849468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d336901-65cf-4822-aaeb-e774314f8f0e · outbound

This paper cites W., and Salakhutdinov, R.

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances W., and Salakhutdinov, R

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:28:23.257064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 42ae9c77-d74e-4b37-bbea-563c3b0e8e3e · outbound

This paper cites A newton-cg augmented lagrangian method for semidefinite programming.

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances A newton-cg augmented lagrangian method for semidefinite programming

Reference 29

Resolution: verified exact; doi, observed 2026-08-07T23:28:22.913143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5cdbb182-bbe3-4d02-b18d-b924bbe273e9 · outbound

This paper cites and Belkin, M.

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances and Belkin, M

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:28:23.204640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4b3f92c8-28e5-49c0-9676-1fe9e0d5e182 · outbound

This paper cites Semi-supervised learning using Gaussian fields and harmonic functions.

Robust Graph-Based Semi-Supervised Learning via $p$-Conductances Semi-supervised learning using Gaussian fields and harmonic functions

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:28:23.181653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f391c03b-1b9f-4305-8ff4-ae0b5f60e378 · outbound

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Robust Graph-Based Semi-Supervised Learning via $p$-Conductances Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T23:28:22.876840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.