Paper Citation Record · LEDGER

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation

As of 16 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:1908.02830.

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

pith.paper-citation-record.v1
1908.02830 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:36:13.850730Z

measured 29 of 29 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

29 of 29 outbound references displayed

verified exact2
verified fuzzy24
unresolved1
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a565b14a-10de-412e-bb8d-ad4fd18c4b76 · outbound

This paper cites Survey on time series motif discovery,.

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation Survey on time series motif discovery,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:14.493130Z

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 52b1069e-439e-4582-962a-88b5afb684ac · outbound

This paper cites Finding motifs in time series,.

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation Finding motifs in time series,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:14.481831Z

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 3a038d0e-a8a7-4fa6-afa3-910723a5e04c · outbound

This paper cites The self-organizing map,.

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation The self-organizing map,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:14.470301Z

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 a1c8ebb4-b876-4ee0-9519-f23380a0076d · outbound

This paper cites Growing self-organizing maps for surface reconstruction from unstructured point clouds,.

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation Growing self-organizing maps for surface reconstruction from unstructured point clouds,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:14.458188Z

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 c4c6a3e4-97fd-458c-965e-5d1db080bcba · outbound

This paper cites Dimension Selective Self- Organizing Maps With Time-Varying Structure for Subspace and Projected Clustering,.

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation Dimension Selective Self- Organizing Maps With Time-Varying Structure for Subspace and Projected Clustering,

Reference 5

Resolution: verified exact; raw_fallback, observed 2026-08-14T14:36:14.200612Z

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 92b323b5-fc94-4da4-8ec1-ec977ab5a0e4 · outbound

This paper cites Miikkulainen, J.

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation Miikkulainen, J

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:14.445640Z

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 4a8cd711-1ef3-482a-b14b-0bdf44b859ec · outbound

This paper cites Phoneme recognition using time-dependent versions of self- organizing maps,.

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation Phoneme recognition using time-dependent versions of self- organizing maps,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:14.432660Z

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 f85c9a4a-b4bb-4583-8138-0d4cc7330841 · outbound

This paper cites Self-organized formation of topologically correct feature maps,.

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation Self-organized formation of topologically correct feature maps,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:14.421237Z

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 5b6ea81b-ec8c-47f9-93aa-bce0422b9f15 · outbound

This paper cites Curse of dimensionality,.

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation Curse of dimensionality,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:14.409790Z

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 65bac025-f4a6-48ba-9ae9-414c911ab37b · outbound

This paper cites Subspace clustering for high dimensional data: A review,.

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation Subspace clustering for high dimensional data: A review,

Reference 10

Resolution: malformed identifier; no resolver link, observed 2026-08-14T14:36:13.782307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1218860-d833-48a8-bf71-4b95c46f4c6a · outbound

This paper cites Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering,.

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering,

Reference 11

Resolution: metadata mismatch; raw_fallback, observed 2026-08-14T14:36:14.013152Z

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 a5727b4b-f3b3-4e21-85e2-9e356d673b3b · outbound

This paper cites Dimension selective self-organizing maps for clustering high dimensional data,.

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation Dimension selective self-organizing maps for clustering high dimensional data,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:14.397807Z

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 5c34f67b-dea4-4ebb-a691-21d06ba6facb · outbound

This paper cites Dis- covery of variable length time series motif,.

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation Dis- covery of variable length time series motif,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:14.386153Z

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 0af19147-3e17-4156-8ac1-0e831b437e42 · outbound

This paper cites The ucr time series classiﬁcation archive,.

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation The ucr time series classiﬁcation archive,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:14.375147Z

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 70b12cbd-5887-40a6-86b9-d98418c7706e · outbound

This paper cites Time series motif discovery: dimensions and applications,.

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation Time series motif discovery: dimensions and applications,

Reference 15

Resolution: verified exact; doi, observed 2026-08-14T14:36:13.884143Z

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 82d37e48-bded-4996-b32b-abb39c7aa0d6 · outbound

This paper cites The self-organizing map,.

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation The self-organizing map,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T14:36:13.803589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d21ecddf-6675-48aa-8021-28e5ceef6113 · outbound

This paper cites Word segmentation: The role of distributional cues,.

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation Word segmentation: The role of distributional cues,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:14.356119Z

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 8518030c-493c-432d-b226-e295a259aba9 · outbound

This paper cites Unconventional word segmentation in brazilian children’s early text production,.

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation Unconventional word segmentation in brazilian children’s early text production,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:14.343502Z

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 13b1b219-b185-40c8-93a8-09ab3ebb25cb · outbound

This paper cites Relating unsupervised word segmentation to reported vocabulary acquisition,.

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation Relating unsupervised word segmentation to reported vocabulary acquisition,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:14.331729Z

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 0b237ab2-944d-4499-bd0b-65a00f07d218 · outbound

This paper cites Learning diphone-based segmen- tation,.

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation Learning diphone-based segmen- tation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:14.319829Z

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 77518bb9-f0ff-4ee6-bffb-fa0e70c931dd · outbound

This paper cites Statistical learning by 8-month-old infants,.

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation Statistical learning by 8-month-old infants,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:14.308210Z

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 128c0d74-ca04-4bd9-8568-7a68b1f2dfbf · outbound

This paper cites Words in puddles of sound: Modelling psycholinguistic effects in speech segmentation,.

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation Words in puddles of sound: Modelling psycholinguistic effects in speech segmentation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:14.297094Z

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 a38ea5e3-e59f-42fb-88dd-bb9c98721678 · outbound

This paper cites Adaptor grammars: A framework for specifying compositional nonparametric bayesian mod- els,.

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation Adaptor grammars: A framework for specifying compositional nonparametric bayesian mod- els,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:14.285517Z

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 0e359630-d543-45e4-9aab-5598d75cf2f9 · outbound

This paper cites Timit acoustic-phonetic continuous speech corpus, 1993,.

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation Timit acoustic-phonetic continuous speech corpus, 1993,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:14.273914Z

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 b6f48968-4f8f-4e0e-b71a-31aaf3d0af6f · outbound

This paper cites Nltk: the natural language toolkit,.

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation Nltk: the natural language toolkit,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:14.262439Z

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 72c51787-dfe3-4929-818c-470b8b3bf05f · outbound

This paper cites The carnegie mellon university pronouncing dictionary - a machine-readable pronunciation dictionary for north american english. on-line.

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation The carnegie mellon university pronouncing dictionary - a machine-readable pronunciation dictionary for north american english. on-line

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:14.249684Z

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 5e144d77-bfe9-482e-aa31-9e45c5c3829f · outbound

This paper cites A comparison of uncertainty and sensitivity analysis results obtained with random and latin hypercube sampling,.

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation A comparison of uncertainty and sensitivity analysis results obtained with random and latin hypercube sampling,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:14.236599Z

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 1140a211-124a-48dd-8575-2ef5a9b9752a · outbound

This paper cites The role of exposure to isolated words in early vocabulary development,.

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation The role of exposure to isolated words in early vocabulary development,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:14.224369Z

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 5a1eab7d-fff6-406b-87f7-1d53ebd4e5b0 · outbound

This paper cites MacWhinney, The childes project: Tools for analyzing talk.

Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation MacWhinney, The childes project: Tools for analyzing talk

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:36:14.212363Z

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.

Pith citing papers

No inbound Pith citation observations are available.