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Paper Citation Record · LEDGER

Neural Manifold Clustering and Embedding

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2201.10000.

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

pith.paper-citation-record.v1
2201.10000 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:44:25.274594Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:59:45.008181Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a2bd7842-9a77-447f-b2c6-3a7508a38ef8 · inbound

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art cites this paper.

Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art Neural Manifold Clustering and Embedding

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-12T04:19:51.619175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:19:51.619175Z digest=sha256:2d1b22c32249069f4d34bc2ad2878c32c652c1258806baa40deec7e2bdfee8b3

Observation f32cb0fb-4f1d-4f7b-b7e3-ad45b70be962 · inbound

Graph Cut-guided Maximal Coding Rate Reduction for Learning Image Embedding and Clustering cites this paper.

Graph Cut-guided Maximal Coding Rate Reduction for Learning Image Embedding and Clustering Neural Manifold Clustering and Embedding

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T04:25:25.490781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:25:25.490781Z digest=sha256:68807982142c2acdb9f52fd807b2b8b01f9b8d76038eced0bc9628f5834a4b13

Observation 0c8a12a0-3dac-4009-a04f-147782dea67f · inbound

Federated Deep Subspace Clustering cites this paper.

Federated Deep Subspace Clustering Neural Manifold Clustering and Embedding

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T22:58:21.402485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:58:21.402485Z digest=sha256:1680fe832aa388813fd7e8e21ed289f50a0f2adcb35d75caadb4cae1f8eca16f

Observation c0c77eb3-c7bc-46bc-afa7-4d185fc1e083 · inbound

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning cites this paper.

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning Neural Manifold Clustering and Embedding

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T21:57:41.998386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:57:41.998386Z digest=sha256:43dc841b9c6f1c95815f4c0670a113707ea269e85c2f17dbf3c38048cc34a1c2

Observation d1df81c7-1f7a-4d29-af4f-bdb371246ed6 · inbound

Simplifying DINO via Coding Rate Regularization cites this paper.

Simplifying DINO via Coding Rate Regularization Neural Manifold Clustering and Embedding

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T18:32:13.581465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T18:32:13.581465Z digest=sha256:3cfccf77b76871aa62226856cf7eccd7d19e6eea6ae90197f358359649fc8964

Observation d0999bb5-32c9-4108-b56f-9bfd390cf694 · inbound

Temporal Rate Reduction Clustering for Human Motion Segmentation cites this paper.

Temporal Rate Reduction Clustering for Human Motion Segmentation Neural Manifold Clustering and Embedding

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T22:39:36.630012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:39:36.630012Z digest=sha256:4526d366090c72dd2af03a46d9d353f0a462f0309236c67b62cb5031b2d419ea

Observation 60dd8de2-feac-43f6-9ea7-fddf55199afb · inbound

Robust Multi-Manifold Clustering via Simplex Paths cites this paper.

Robust Multi-Manifold Clustering via Simplex Paths Neural Manifold Clustering and Embedding

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T17:33:37.199201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:33:37.199201Z digest=sha256:fd8ce480d4f301057e8bc471518bc445c706953782f60856376edbb6bcb62acf

Observation 3ffcb519-8101-4ebe-a32e-b39390eb4c01 · inbound

Learning Coarse-to-Fine Osteoarthritis Representations under Noisy Hierarchical Labels cites this paper.

Learning Coarse-to-Fine Osteoarthritis Representations under Noisy Hierarchical Labels Neural Manifold Clustering and Embedding

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:41:23.928460Z

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.

source=pdf_text observed=2026-05-09T19:29:15.038089Z digest=sha256:008a9c059212eae05321c5571b2074b0efd85220ab049a7ac5ae32505a77925d

Observation a5494217-4063-45dc-a1b4-18cde4a22b66 · inbound

Jointly Learning Structured Representations and Stabilized Affinity for Human Motion Segmentation cites this paper.

Jointly Learning Structured Representations and Stabilized Affinity for Human Motion Segmentation Neural Manifold Clustering and Embedding

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:36:08.200642Z

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.

source=pdf_text observed=2026-05-08T15:03:31.145565Z digest=sha256:d098a42023fe928b760b5efa49200bbe8ea234ce882de886eae6359d00cffe51

Observation 75d95397-2d2b-4d15-a7b1-69c0b0240eb4 · inbound

Cohort Organized Learning: Clustering Through Agreement cites this paper.

Cohort Organized Learning: Clustering Through Agreement Neural Manifold Clustering and Embedding

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-04T07:59:39.948283Z

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.

source=pdf_text observed=2026-06-26T12:25:32.825189Z digest=sha256:ad75b6d578c71776143663790dbbb393c178a45a2255a0d51e956436fbd164e2

Observation 374f1308-011c-49d4-bfac-199f20f9fe05 · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Neural Manifold Clustering and Embedding

Reference 145

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T09:59:45.009666Z

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.

source=arxiv_source observed=2026-06-26T09:19:50.623741Z digest=sha256:8f535d87edf4da97f5170da36eb43e2bafd22a4e10c954e220de7c03f121d1e2

Observation 78a47af9-5534-47dd-a955-c7a0eb47368b · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Neural Manifold Clustering and Embedding

Reference 145

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T18:55:59.380135Z

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.

source=arxiv_source observed=2026-06-29T01:18:19.195007Z digest=sha256:2fbb0583b366f598724038d241b750ebb230392abfb281703beabd6c624bd2ba

Observation 3b6ae6e9-d96b-475d-a481-8e4b56089055 · inbound

Learning Deep Modality-Shared Self-Expressiveness for Image Clustering with Textual Information cites this paper.

Learning Deep Modality-Shared Self-Expressiveness for Image Clustering with Textual Information Neural Manifold Clustering and Embedding

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T04:44:25.274594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:44:25.274594Z digest=sha256:537fc52406109f3a4f4787fe48b979c5ea6fe7b4876dc28f1bc39eb512874367