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Paper Citation Record · LEDGER

MMF: Attribute Interpretable Collaborative Filtering

As of 16 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:1908.01099.

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

pith.paper-citation-record.v1
1908.01099 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:26:57.960223Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

26 of 26 outbound references displayed

  • verified exact0
  • verified fuzzy26
  • unresolved0
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1ac686ca-f225-4d20-8c64-80b43e87fb32 · outbound

This paper cites Kdgan: Knowledge distillation with generative adversarial networks,.

MMF: Attribute Interpretable Collaborative Filtering Kdgan: Knowledge distillation with generative adversarial networks,

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6301deec-5047-4bb6-8cde-6c913b7c0a61 · outbound

This paper cites The youtube video recommendation system,.

MMF: Attribute Interpretable Collaborative Filtering The youtube video recommendation system,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 11c0cbaa-484f-4265-a822-7df385ab1642 · outbound

This paper cites A survey of recommendation system: Research challenges,.

MMF: Attribute Interpretable Collaborative Filtering A survey of recommendation system: Research challenges,

Reference 3

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 50bba161-6bb1-4c1c-b364-c31aa7c1fd1b · outbound

This paper cites Cpmf: A collective pairwise matrix factorization model for upcoming event recommendation,.

MMF: Attribute Interpretable Collaborative Filtering Cpmf: A collective pairwise matrix factorization model for upcoming event recommendation,

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 73a66b45-f857-4fcb-815e-b2ccee5e141b · outbound

This paper cites A joint optimization approach for personalized recommendation diversifi- cation,.

MMF: Attribute Interpretable Collaborative Filtering A joint optimization approach for personalized recommendation diversifi- cation,

Reference 5

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation aa72e40b-3735-4250-9496-71c181012bc1 · outbound

This paper cites Non-negative tensor factorization with applications to statistics and computer vision,.

MMF: Attribute Interpretable Collaborative Filtering Non-negative tensor factorization with applications to statistics and computer vision,

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7ab32e22-4cce-43d5-b960-fd4f7d704b76 · outbound

This paper cites Document clustering based on non- negative matrix factorization,.

MMF: Attribute Interpretable Collaborative Filtering Document clustering based on non- negative matrix factorization,

Reference 7

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 26c4f492-fbb3-48c2-ab96-8e308f2bd189 · outbound

This paper cites Toward interpretable predictive models in b2b recommender systems,.

MMF: Attribute Interpretable Collaborative Filtering Toward interpretable predictive models in b2b recommender systems,

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b5621e14-11f4-47eb-ac21-988643d54bab · outbound

This paper cites Addressing cold- start problem in recommendation systems,.

MMF: Attribute Interpretable Collaborative Filtering Addressing cold- start problem in recommendation systems,

Reference 9

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1ea0c037-8925-4e5b-bbac-3e10c4764fb9 · outbound

This paper cites Collaborative knowledge base embedding for recommender systems,.

MMF: Attribute Interpretable Collaborative Filtering Collaborative knowledge base embedding for recommender systems,

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d888c47a-8823-4ada-a56b-bcbc19b6a9ce · outbound

This paper cites Collaborative topic modeling for recommend- ing scientific articles,.

MMF: Attribute Interpretable Collaborative Filtering Collaborative topic modeling for recommend- ing scientific articles,

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a413705b-b6f7-48db-8b0b-8f3ac87ab133 · outbound

This paper cites Collaborative deep learning for recommender systems,.

MMF: Attribute Interpretable Collaborative Filtering Collaborative deep learning for recommender systems,

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 140d6cbc-fcb9-400a-929b-f95aa0fe83ef · outbound

This paper cites Wide & deep learning for recommender systems,.

MMF: Attribute Interpretable Collaborative Filtering Wide & deep learning for recommender systems,

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e4cee626-0c7e-4bdf-bc7e-88365efc8598 · outbound

This paper cites Deep crossing: Web-scale modeling without manually crafted combinatorial features,.

MMF: Attribute Interpretable Collaborative Filtering Deep crossing: Web-scale modeling without manually crafted combinatorial features,

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2cc542d1-783c-4545-b2ec-68ea46626099 · outbound

This paper cites Explicit factor models for explainable recommendation based on phrase-level sentiment analysis,.

MMF: Attribute Interpretable Collaborative Filtering Explicit factor models for explainable recommendation based on phrase-level sentiment analysis,

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5ba137ce-a693-405c-b783-934be705a408 · outbound

This paper cites Explainable recommendation via multi-task learning in opinionated text data,.

MMF: Attribute Interpretable Collaborative Filtering Explainable recommendation via multi-task learning in opinionated text data,

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation dc5da4d2-8b8b-4aad-a5b4-8be8da637693 · outbound

This paper cites Factorization machines with libFM,.

MMF: Attribute Interpretable Collaborative Filtering Factorization machines with libFM,

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5394fad9-8330-4d19-819e-8d17da389af1 · outbound

This paper cites Neural col- laborative filtering,.

MMF: Attribute Interpretable Collaborative Filtering Neural col- laborative filtering,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3f4e051c-b7e7-422b-9ea1-77721361a0e3 · outbound

This paper cites Recommending items to group of users using matrix factorization based collaborative filtering,.

MMF: Attribute Interpretable Collaborative Filtering Recommending items to group of users using matrix factorization based collaborative filtering,

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation aa0a2000-f064-4111-8b71-3262c86cf857 · outbound

This paper cites A neural autoregressive approach to collaborative filtering,.

MMF: Attribute Interpretable Collaborative Filtering A neural autoregressive approach to collaborative filtering,

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 63804bed-618f-4a5d-86ce-0b190a61539e · outbound

This paper cites The movielens datasets: History and context,.

MMF: Attribute Interpretable Collaborative Filtering The movielens datasets: History and context,

Reference 21

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 451b606c-8e38-404b-96dc-3f31a46f7cf3 · outbound

This paper cites The netflix prize,.

MMF: Attribute Interpretable Collaborative Filtering The netflix prize,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e8736bf1-cca6-4b41-b763-731cce354380 · outbound

This paper cites Latent dirichlet allocation,.

MMF: Attribute Interpretable Collaborative Filtering Latent dirichlet allocation,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation bc629721-1721-4d1e-83be-9250e4c1510f · outbound

This paper cites Probabilistic matrix factorization,.

MMF: Attribute Interpretable Collaborative Filtering Probabilistic matrix factorization,

Reference 24

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raw_fallback, observed 2026-08-14T15:26:58.039858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation eefd3935-9193-4b68-ba41-9167005175d7 · outbound

This paper cites Bayesian probabilistic matrix factor- ization using markov chain monte carlo,.

MMF: Attribute Interpretable Collaborative Filtering Bayesian probabilistic matrix factor- ization using markov chain monte carlo,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c52e6dd9-736e-43c8-890a-b322d062ecb3 · outbound

This paper cites Visualizing data using t-sne,.

MMF: Attribute Interpretable Collaborative Filtering Visualizing data using t-sne,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Pith citing papers

No inbound Pith citation observations are available.