Paper Citation Record · LEDGER

Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks

As of 13 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:1907.10416.

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

pith.paper-citation-record.v1
1907.10416 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T16:45:18.310194Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

24 of 24 outbound references displayed

verified exact0
verified fuzzy23
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 78844dec-cb5a-4612-9585-2b5abd72e213 · outbound

This paper cites Un- derstanding data fusion within the framework of coupled matrix and tensor factorizations.

Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks Un- derstanding data fusion within the framework of coupled matrix and tensor factorizations

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T16:46:16.844926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ad22b67a-1238-4215-9616-e27dce4bf6c5 · outbound

This paper cites Temporal analysis of semantic graphs using asalsan.

Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks Temporal analysis of semantic graphs using asalsan

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T16:46:16.829930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0d054bc2-0d2d-4627-ab14-cb1da55d3f95 · outbound

This paper cites Discovering facts with boolean tensor tucker decom- position.

Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks Discovering facts with boolean tensor tucker decom- position

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T16:46:16.793493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 53c949e8-43cf-429c-a19e-d3f20e332dab · outbound

This paper cites Collective spammer detection in evolving multi-relational social net- works.

Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks Collective spammer detection in evolving multi-relational social net- works

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T16:46:16.800395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 353c4a30-8890-40fc-b14f-4527a05c4028 · outbound

This paper cites Sociology: A global perspec- tive.

Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks Sociology: A global perspec- tive

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T16:46:16.804342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7c9913b6-d4ec-49e3-ad70-be15a0b270d8 · outbound

This paper cites Triplerank: Ranking semantic web data by tensor decomposition.

Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks Triplerank: Ranking semantic web data by tensor decomposition

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T16:46:16.808406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e9574b45-54a1-4b19-ba5f-9a015eddf89b · outbound

This paper cites Multilinear pagerank.

Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks Multilinear pagerank

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T16:46:16.812256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a882abda-769c-4b20-a68f-ae7d30802510 · outbound

This paper cites Parafac: Parallel factor analysis.

Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks Parafac: Parallel factor analysis

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T16:46:16.836402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f18502e8-9071-440a-a3d7-8e473f8e090b · outbound

This paper cites Mining social inﬂuence in microblogging via tensor factorization approach.

Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks Mining social inﬂuence in microblogging via tensor factorization approach

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T16:46:16.825814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 10a48296-9fe4-491a-bc80-b0c0499c53c5 · outbound

This paper cites Kolda and Brett W.

Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks Kolda and Brett W

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T16:46:16.840507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 28006061-e321-49cf-8e5b-e1b0435a4ae5 · outbound

This paper cites Non- negative matrix and tensor factorization based classiﬁca- tion of clinical microarray gene expression data.

Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks Non- negative matrix and tensor factorization based classiﬁca- tion of clinical microarray gene expression data

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T16:46:16.789070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f9302ad7-8611-49b0-8ef2-ecd72b88f4f7 · outbound

This paper cites Har: hub, authority and relevance scores in multi- relational data for query search.

Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks Har: hub, authority and relevance scores in multi- relational data for query search

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T16:46:16.833211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 632ed21e-8e24-4e35-ab2e-d63adb6fd878 · outbound

This paper cites Mining topic-level inﬂuence in het- erogeneous networks.

Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks Mining topic-level inﬂuence in het- erogeneous networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T16:46:16.797112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a3c88b63-b014-447b-9433-157811d1fa1c · outbound

This paper cites [McPherson et al., 2001] Miller McPherson, Lynn Smith- Lovin, and James M Cook.

Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks [McPherson et al., 2001] Miller McPherson, Lynn Smith- Lovin, and James M Cook

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T16:46:16.781088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d5a0f9f4-02e6-4dda-ae15-99a4729165a9 · outbound

This paper cites Tensor factorization us- ing auxiliary information.

Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks Tensor factorization us- ing auxiliary information

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T16:46:16.777249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 003ebcaf-d2d8-4015-a15b-2dfa6e5c891c · outbound

This paper cites Multirank: co-ranking for objects and relations in multi-relational data.

Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks Multirank: co-ranking for objects and relations in multi-relational data

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T16:46:16.784528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f06ea53e-789e-4729-8db3-b282d28e5be0 · outbound

This paper cites A three-way model for collective learning on multi-relational data.

Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks A three-way model for collective learning on multi-relational data

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T16:46:16.819068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ec659e86-ff87-476d-b766-9c7c12d71c7b · outbound

This paper cites Factorizing yago: Scalable machine learning for linked data.

Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks Factorizing yago: Scalable machine learning for linked data

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T16:46:16.773327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 855c9529-e411-4a0b-aeec-308eb982700b · outbound

This paper cites Relation Schema Induction using Tensor Factorization with Side Information.

Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks Relation Schema Induction using Tensor Factorization with Side Information

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T16:46:16.033740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 391937c4-9dbd-43b1-bf42-122688f7979f · outbound

This paper cites Learning optimal ranking with tensor factorization for tag recommendation.

Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks Learning optimal ranking with tensor factorization for tag recommendation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T16:46:16.816059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f88b3518-4c93-4b37-bb07-22286a58a551 · outbound

This paper cites Structural analysis in multi-relational social networks.

Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks Structural analysis in multi-relational social networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T16:46:16.772699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fe65c79f-e9dc-4a8e-8bf2-dbd97a5f3209 · outbound

This paper cites Some mathematical notes on three-mode factor analysis.

Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks Some mathematical notes on three-mode factor analysis

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T16:46:16.822564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation adf79ef0-3d34-4601-bfc2-5e8eb25b6631 · outbound

This paper cites Supervised nonnega- tive tensor factorization with maximum-margin constraint.

Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks Supervised nonnega- tive tensor factorization with maximum-margin constraint

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T16:46:16.765849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6e5479ee-67e4-4174-a166-88473a378216 · outbound

This paper cites Mining topical inﬂuencers based on the multi- relational network in micro-blogging sites.China Commu- nications, 10(1):93–104.

Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks Mining topical inﬂuencers based on the multi- relational network in micro-blogging sites.China Commu- nications, 10(1):93–104

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T16:46:16.769660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.