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Paper Citation Record · LEDGER

Block based Singular Value Decomposition approach to matrix factorization for recommender systems

As of 6 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:1907.07410.

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

pith.paper-citation-record.v1
1907.07410 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T20:30:49.332843Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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 exact1
  • verified fuzzy24
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 342050c7-e352-4eb6-95d2-0443cac47fed · outbound

This paper cites an unresolved cited work.

Block based Singular Value Decomposition approach to matrix factorization for recommender systems Unresolved cited work

Reference 1

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Source-reported events for the cited work

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Observation 3d31ef13-c68f-45ce-ab1a-6d9b8dc3435a · outbound

This paper cites an unresolved cited work.

Block based Singular Value Decomposition approach to matrix factorization for recommender systems Unresolved cited work

Reference 2

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Source-reported events for the cited work

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Observation a532e48a-e8f0-4e43-90da-1bf17cdcb9fd · outbound

This paper cites A learning-rate schedule for stochastic gradient methods to matrix factoriza- tion.

Block based Singular Value Decomposition approach to matrix factorization for recommender systems A learning-rate schedule for stochastic gradient methods to matrix factoriza- tion

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 5eeb240b-df3b-482e-b14c-a46c4d2c1711 · outbound

This paper cites Dumais, George W.

Block based Singular Value Decomposition approach to matrix factorization for recommender systems Dumais, George W

Reference 4

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Source-reported events for the cited work

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Observation 87c675c1-1f5b-41a2-8cf1-9581c6a5d781 · outbound

This paper cites Dc-nmf: Non- negative matrix factorization based on divide-and-conquer for fast cluster- ing and topic modeling.

Block based Singular Value Decomposition approach to matrix factorization for recommender systems Dc-nmf: Non- negative matrix factorization based on divide-and-conquer for fast cluster- ing and topic modeling

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 854bd4d3-88ef-441f-88be-884188ebaf82 · outbound

This paper cites Haas, and Yannis Sismanis.

Block based Singular Value Decomposition approach to matrix factorization for recommender systems Haas, and Yannis Sismanis

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 3e5267ed-0e15-4383-846b-bbedd45eb9da · outbound

This paper cites nmfgpu4r: Gpu-accelerated computation of the non-negative matrix factorization using cuda capable hardware.

Block based Singular Value Decomposition approach to matrix factorization for recommender systems nmfgpu4r: Gpu-accelerated computation of the non-negative matrix factorization using cuda capable hardware

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 35c360a7-ccfe-4529-8815-72a92d853beb · outbound

This paper cites 1 the bellkor solution to the netflix grand prize.

Block based Singular Value Decomposition approach to matrix factorization for recommender systems 1 the bellkor solution to the netflix grand prize

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation ec1b8171-ef4b-4443-8000-d118d6909421 · outbound

This paper cites Pujari, Sandeep Kumar Sahu, Venkateswara Rao Kagita, and Vineet Padmanabhan.

Block based Singular Value Decomposition approach to matrix factorization for recommender systems Pujari, Sandeep Kumar Sahu, Venkateswara Rao Kagita, and Vineet Padmanabhan

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation a595b603-5abe-45cf-8ee1-909806b67ff9 · outbound

This paper cites Pujari, Sandeep Kumar Sahu, Venkateswara Rao Kagita, and Vineet Padmanabhan.

Block based Singular Value Decomposition approach to matrix factorization for recommender systems Pujari, Sandeep Kumar Sahu, Venkateswara Rao Kagita, and Vineet Padmanabhan

Reference 10

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raw_fallback, observed 2026-05-24T21:36:24.257483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 70f5c52d-ae09-42de-a282-b0f120836819 · outbound

This paper cites Gpu-accelerated non-negative matrix factorization for text mining.

Block based Singular Value Decomposition approach to matrix factorization for recommender systems Gpu-accelerated non-negative matrix factorization for text mining

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 71521004-2900-4b24-a1da-fec81b56cb5c · outbound

This paper cites Dimensionality reduction in higher-order signal processing and rank-(r1,r2,,rn) reduction in multilinear algebra.

Block based Singular Value Decomposition approach to matrix factorization for recommender systems Dimensionality reduction in higher-order signal processing and rank-(r1,r2,,rn) reduction in multilinear algebra

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 25153071-98e9-40c7-8a5c-d780d0bfa1bf · outbound

This paper cites Sparkler: supporting large-scale matrix factorization.

Block based Singular Value Decomposition approach to matrix factorization for recommender systems Sparkler: supporting large-scale matrix factorization

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation b85c546a-b08f-4e8e-839d-9ece754ae722 · outbound

This paper cites Mackey, Michael I.

Block based Singular Value Decomposition approach to matrix factorization for recommender systems Mackey, Michael I

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation c6da17d2-429a-4cf5-92a5-b03fe7659a5d · outbound

This paper cites Rathnayake, and Geoffrey J.

Block based Singular Value Decomposition approach to matrix factorization for recommender systems Rathnayake, and Geoffrey J

Reference 15

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verified fuzzy
raw_fallback, observed 2026-05-24T21:36:24.193108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation bf351ae5-3c17-4e95-87d9-64a3a5d33b61 · outbound

This paper cites Fast and robust parallel SGD matrix factorization.

Block based Singular Value Decomposition approach to matrix factorization for recommender systems Fast and robust parallel SGD matrix factorization

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 407d99e5-cdb2-4761-b0b8-90d8f233f533 · outbound

This paper cites Wright, and Feng Niu.

Block based Singular Value Decomposition approach to matrix factorization for recommender systems Wright, and Feng Niu

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation bb16cfab-18dd-43f9-b9d0-8a24cfdbc4ca · outbound

This paper cites Ross, Jongwoo Lim, Ruei-Sung Lin, and Ming-Hsuan Yang.

Block based Singular Value Decomposition approach to matrix factorization for recommender systems Ross, Jongwoo Lim, Ruei-Sung Lin, and Ming-Hsuan Yang

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation d2d31467-fe6a-403f-93d7-bffecdc6255b · outbound

This paper cites Probabilistic matrix factorization.

Block based Singular Value Decomposition approach to matrix factorization for recommender systems Probabilistic matrix factorization

Reference 19

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation b49ca62d-3032-411e-99f0-3a163454b910 · outbound

This paper cites In- cremental singular value decomposition algorithms for highly scalable recommender systems.

Block based Singular Value Decomposition approach to matrix factorization for recommender systems In- cremental singular value decomposition algorithms for highly scalable recommender systems

Reference 20

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verified fuzzy
raw_fallback, observed 2026-05-24T21:36:24.252873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 6e73bd30-c1c5-49af-8f4c-5b9e20f50a5c · outbound

This paper cites Factorbird - a Parameter Server Approach to Distributed Matrix Factorization.

Block based Singular Value Decomposition approach to matrix factorization for recommender systems Factorbird - a Parameter Server Approach to Distributed Matrix Factorization

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 926acd4c-201c-46a4-977d-a6eebcff83eb · outbound

This paper cites A survey of collaborative filtering techniques.

Block based Singular Value Decomposition approach to matrix factorization for recommender systems A survey of collaborative filtering techniques

Reference 22

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raw_fallback, observed 2026-05-24T21:36:24.248903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 1203f54e-b743-4805-a9d4-71ffd05b860e · outbound

This paper cites Fong, Cheng Li, Zijun Wang, and Liang Cao.

Block based Singular Value Decomposition approach to matrix factorization for recommender systems Fong, Cheng Li, Zijun Wang, and Liang Cao

Reference 23

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raw_fallback, observed 2026-05-24T21:36:24.250711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation e3543195-8ce8-4cb0-97ea-6bada6ac2421 · outbound

This paper cites Schindler, and D.

Block based Singular Value Decomposition approach to matrix factorization for recommender systems Schindler, and D

Reference 24

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verified fuzzy
raw_fallback, observed 2026-05-24T21:36:24.255200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T20:30:49.332843Z digest=sha256:7b35233e1c44c9767add796cd15db17a08033622497b04b55eed573689eb8c9c

Observation 73e9a783-d6c7-4060-8492-ba31cb56cbc9 · outbound

This paper cites Split-and-combine singular value decomposition for large- scale matrix.

Block based Singular Value Decomposition approach to matrix factorization for recommender systems Split-and-combine singular value decomposition for large- scale matrix

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T21:36:24.261814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation fb84209d-6f73-4071-a504-16f02880f96a · outbound

This paper cites an unresolved cited work.

Block based Singular Value Decomposition approach to matrix factorization for recommender systems Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-05-24T21:36:24.245085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 6255994a-0265-442a-b714-5478b5712a70 · outbound

This paper cites an unresolved cited work.

Block based Singular Value Decomposition approach to matrix factorization for recommender systems Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-05-24T21:36:24.247042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T20:30:49.332843Z digest=sha256:de6e1ff2941683262176906a7a421158719d7d7226b496350849e912b3e9f92f

Observation def284ef-aaba-43ec-a7c9-bcb7663f5710 · outbound

This paper cites Localized matrix factorization for recommendation based on matrix block diagonal forms.

Block based Singular Value Decomposition approach to matrix factorization for recommender systems Localized matrix factorization for recommendation based on matrix block diagonal forms

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T21:36:24.242780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T20:30:49.332843Z digest=sha256:176d9f69419ab0bea2e763a7c0d8a441c3eba7b2c1f2a46f99974c1f38f57180

Observation ffff7a51-bafa-44bf-906c-46c49b39a210 · outbound

This paper cites A fast parallel stochastic gradient descent for matrix factorization in shared memory systems.

Block based Singular Value Decomposition approach to matrix factorization for recommender systems A fast parallel stochastic gradient descent for matrix factorization in shared memory systems

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T21:36:24.240205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T20:30:49.332843Z digest=sha256:99b6b18bed6dd574505299c5d88bbe358fc266668795bad4eee2f8c9973519cd

Pith citing papers

No inbound Pith citation observations are available.