Paper Citation Record · LEDGER

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning

As of 20 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2607.06497.

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

pith.paper-citation-record.v1
2607.06497 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-08T04:41:05.376170Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

34 of 34 outbound references displayed

verified exact19
verified fuzzy7
unresolved0
parse uncertain0
malformed identifier1
metadata mismatch7

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b00800dd-1f99-479c-80e0-6b5149344363 · outbound

This paper cites Schwartz.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Schwartz

Reference 1

Resolution: verified exact; doi, observed 2026-07-08T04:44:30.553971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 01473e3e-1649-4092-b999-396430ef3686 · outbound

This paper cites Development 146(12), 173849 (2019) https://doi.org/10.1242/dev.173849.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Development 146(12), 173849 (2019) https://doi.org/10.1242/dev.173849

Reference 2

Resolution: metadata mismatch; doi, observed 2026-07-08T04:44:30.538775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a0c1b016-0b58-4223-bb78-f6f631254180 · outbound

This paper cites Belkin and P.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Belkin and P

Reference 3

Resolution: metadata mismatch; doi, observed 2026-07-08T04:44:30.521078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4da7251e-01da-4f8b-a410-5cc79a731a36 · outbound

This paper cites Convergence of laplacian eigenmaps.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Convergence of laplacian eigenmaps

Reference 4

Resolution: verified exact; doi, observed 2026-07-08T04:44:30.503022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 99540453-36ac-4779-bddb-7f525f34ada0 · outbound

This paper cites Graph approximations to geodesics on embedded manifolds.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Graph approximations to geodesics on embedded manifolds

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:44:30.627292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 71d1f989-fc88-4686-9eca-fa4e8f43d063 · outbound

This paper cites M., WACLAW, B.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning M., WACLAW, B

Reference 6

Resolution: verified exact; doi, observed 2026-07-08T04:44:30.555061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b4af4985-e0c3-4541-ab7d-0a33827ea9d4 · outbound

This paper cites Coifman and Stéphane Lafon.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Coifman and Stéphane Lafon

Reference 7

Resolution: verified exact; doi, observed 2026-07-08T04:44:30.567544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 79d6124c-f7e7-4b98-8a59-6ee8468b6619 · outbound

This paper cites Stability of graph communities across time scales.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Stability of graph communities across time scales

Reference 8

Resolution: verified exact; doi, observed 2026-07-08T04:44:30.567182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 005cd868-7294-424b-bff0-6f56953abec0 · outbound

This paper cites Donoho and Carrie Grimes.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Donoho and Carrie Grimes

Reference 9

Resolution: verified exact; doi, observed 2026-07-08T04:44:30.506580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 01113dd5-bf23-4e84-8765-9a65f3626af2 · outbound

This paper cites Statistical-mechanical approach to subgraph centrality in complex networks.Chemical Physics Letters, 439(1):247–251, 2007.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Statistical-mechanical approach to subgraph centrality in complex networks.Chemical Physics Letters, 439(1):247–251, 2007

Reference 10

Resolution: verified exact; doi, observed 2026-07-08T04:44:30.513917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1713f1c6-dbb1-406e-b655-861897184994 · outbound

This paper cites Nature Methods13(10), 845–848 (2016) https://doi.org/10.1038/nmeth.3971.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Nature Methods13(10), 845–848 (2016) https://doi.org/10.1038/nmeth.3971

Reference 11

Resolution: metadata mismatch; doi, observed 2026-07-08T04:44:30.545388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0ef7fa08-ed5d-4ade-8a94-30adf88c8246 · outbound

This paper cites Graph laplacians and their convergence on random neighborhood graphs.J.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Graph laplacians and their convergence on random neighborhood graphs.J

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:44:30.622495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 61afbc2e-ff98-479c-9e2a-b59b9aac5c6b · outbound

This paper cites A heat diffusion perspective on geodesic preserving dimensionality reduction.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning A heat diffusion perspective on geodesic preserving dimensionality reduction

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:44:30.624852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9ed04b5d-22e5-4474-b8dd-7a5e154c355d · outbound

This paper cites Kastriti, Peter Lonnerberg, Alessandro Furlan, Jean Fan, Lars E.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Kastriti, Peter Lonnerberg, Alessandro Furlan, Jean Fan, Lars E

Reference 14

Resolution: verified exact; doi, observed 2026-07-08T04:44:30.552688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c848887b-007c-42be-bfc9-05ed78b78bd4 · outbound

This paper cites Coupling from the past.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Coupling from the past

Reference 15

Resolution: metadata mismatch; doi, observed 2026-07-08T04:44:30.533479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8676cea3-3b66-43ed-8ec4-e5565efc2351 · outbound

This paper cites Path integral based convolution and pooling for graph neural networks.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Path integral based convolution and pooling for graph neural networks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:44:30.622709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ff29c553-909d-4ea7-8cfb-717425e04e64 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T04:44:30.564630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9c7d756a-b211-49f7-8ee2-214acf5156ec · outbound

This paper cites Visualizing structure and transitions in high-dimensional biological data.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Visualizing structure and transitions in high-dimensional biological data

Reference 18

Resolution: verified exact; doi, observed 2026-07-08T04:44:30.544491Z

Source-reported events for the cited work

correction dated 2020-01-02. Source: crossref record 10.1038/s41587-019-0395-5->10.1038/s41587-019-0336-3:correction, observed 2026-07-11T03:09:44.372789+00:00. This notice travels one citation hop only.

Observation 4961e707-ac9d-49d3-8c6d-96a1d900faf8 · outbound

This paper cites A note on a method for generating points uniformly on n-dimensional spheres.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning A note on a method for generating points uniformly on n-dimensional spheres

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-08T04:44:30.548427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8a394168-876c-4fee-8225-05c92638cdd8 · outbound

This paper cites Hamey, Blanca Pijuan Sala, Evangelia Diamanti, Mairi Shepherd, Elisa Laurenti, Nicola K.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Hamey, Blanca Pijuan Sala, Evangelia Diamanti, Mairi Shepherd, Elisa Laurenti, Nicola K

Reference 20

Resolution: malformed identifier; doi_truncated, observed 2026-07-08T04:44:30.564792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 40828f7e-ad88-4a66-b0c4-8f8bc09d99d0 · outbound

This paper cites an unresolved cited work.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Unresolved cited work

Reference 21

Resolution: verified exact; doi, observed 2026-07-08T04:44:30.522955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 82055c3e-78b8-4962-a2dd-aaf2ee28e57a · outbound

This paper cites Transcriptional heterogeneity and lineage commitment in myeloid progenitors.Cell, 163(7):1663–1677, 2015.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Transcriptional heterogeneity and lineage commitment in myeloid progenitors.Cell, 163(7):1663–1677, 2015

Reference 22

Resolution: verified exact; doi, observed 2026-07-08T04:44:30.556618Z

Source-reported events for the cited work

correction dated 2016-01-15. Source: crossref record 10.1016/j.cell.2015.12.046->10.1016/j.cell.2015.11.013:correction, observed 2026-07-11T03:18:00.181309+00:00. This notice travels one citation hop only.

Observation 800cbba6-c021-4249-b667-4cd01fba399a · outbound

This paper cites Science , volume=.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Science , volume=

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-07-08T04:44:30.558416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8c9ce12f-11a3-4f44-9d00-a8e229e4ae47 · outbound

This paper cites Satpathy, Jeffrey M.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Satpathy, Jeffrey M

Reference 24

Resolution: verified exact; doi, observed 2026-07-08T04:44:30.547820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 64de3c3a-056c-47e6-a273-84e5e5e70d10 · outbound

This paper cites Nolan, Benjamin J.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Nolan, Benjamin J

Reference 25

Resolution: verified exact; doi, observed 2026-07-08T04:44:30.498796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6498caf5-1094-402a-9d9a-682f40761bc7 · outbound

This paper cites Global versus local methods in nonlinear dimensionality reduction.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Global versus local methods in nonlinear dimensionality reduction

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:44:30.630032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bc783d7c-0cae-439b-8be0-d15aabcbd7b6 · outbound

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

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Tenenbaum, Vin de Silva, and John C

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-08T04:44:30.527768Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8e194539-2597-4b75-844f-2652112fe63d · outbound

This paper cites Trapnell, D.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Trapnell, D

Reference 28

Resolution: verified exact; doi, observed 2026-07-08T04:44:30.561280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 501e5e79-2244-401d-9931-f989fb224ea3 · outbound

This paper cites Visualizing data using t-sne.Journal of Machine Learning Research, 9(86):2579–2605, 2008.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Visualizing data using t-sne.Journal of Machine Learning Research, 9(86):2579–2605, 2008

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:44:30.627801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fb8d016b-186a-4252-a8fd-b2e680936a0e · outbound

This paper cites an unresolved cited work.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Unresolved cited work

Reference 30

Resolution: verified exact; doi, observed 2026-07-08T04:44:30.551416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7fa85c78-f973-4d98-a1ba-fb1ade00f9da · outbound

This paper cites Venna and S.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Venna and S

Reference 31

Resolution: metadata mismatch; doi, observed 2026-07-08T04:44:30.513032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2bcfd4a1-3024-4f2a-a9fc-7eebda4b9797 · outbound

This paper cites Diffusive topology preserving manifold distances for single-cell data analysis.Proceedings of the National Academy of Sciences, 122 (4):e2404860121, 2025.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Diffusive topology preserving manifold distances for single-cell data analysis.Proceedings of the National Academy of Sciences, 122 (4):e2404860121, 2025

Reference 32

Resolution: verified exact; doi, observed 2026-07-08T04:44:30.536513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 45e62e75-135f-4ee6-8538-28c5b47cfae2 · outbound

This paper cites Alexander Wolf, Philipp Angerer, and Fabian J.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Alexander Wolf, Philipp Angerer, and Fabian J

Reference 33

Resolution: verified exact; doi, observed 2026-07-08T04:44:30.560022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 557714a3-e560-40fc-b6e7-1e335a93d26a · outbound

This paper cites Self-tuning spectral clustering.

EntroPath: Maximum Entropy Path Ensemble Embedding for Manifold Learning Self-tuning spectral clustering

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T04:44:30.620218Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.