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Paper Citation Record · LEDGER

Modeling Musical Genre Trajectories through Pathlet Learning

As of 16 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2505.03480.

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

pith.paper-citation-record.v1
2505.03480 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:54:32.189249Z

measured 53 of 53 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

53 of 53 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 77111e11-6c90-4e7c-a139-d980629371d5 · outbound

This paper cites Uplifting interviews in social science with individual data visualization: The case of music listening.

Modeling Musical Genre Trajectories through Pathlet Learning Uplifting interviews in social science with individual data visualization: The case of music listening

Reference 1

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Observation 222df7ee-6ff4-4901-98a7-f290ef481b8c · outbound

This paper cites Taste over time: The tem- poral dynamics of user preferences.

Modeling Musical Genre Trajectories through Pathlet Learning Taste over time: The tem- poral dynamics of user preferences

Reference 2

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Observation d3886943-5e1b-4d20-b3ee-06119b3b2a4e · outbound

This paper cites Tastepaths: Enabling deeper exploration and understanding of personal preferences in recom- mender systems.

Modeling Musical Genre Trajectories through Pathlet Learning Tastepaths: Enabling deeper exploration and understanding of personal preferences in recom- mender systems

Reference 3

Resolution
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Observation 4f5b71ae-9008-402f-845f-6a834bfa4a6e · outbound

This paper cites Computing taste: Algorithms and the 9 makers of music recommendation.

Modeling Musical Genre Trajectories through Pathlet Learning Computing taste: Algorithms and the 9 makers of music recommendation

Reference 4

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 404c1145-76a9-4773-82d9-8ef6d89a3a20 · outbound

This paper cites Follow the guides: disentangling human and algorithmic cu- ration in online music consumption.

Modeling Musical Genre Trajectories through Pathlet Learning Follow the guides: disentangling human and algorithmic cu- ration in online music consumption

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 17f99e07-66fc-4f95-bd93-649268f43052 · outbound

This paper cites Distinction a social critique of the judgement of taste.

Modeling Musical Genre Trajectories through Pathlet Learning Distinction a social critique of the judgement of taste

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 62e07339-0214-49d0-bda7-c74e03b460fc · outbound

This paper cites Music in everyday life.

Modeling Musical Genre Trajectories through Pathlet Learning Music in everyday life

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 4d7ca0fd-e620-4961-93cd-a865d42b59bc · outbound

This paper cites Why music matters.

Modeling Musical Genre Trajectories through Pathlet Learning Why music matters

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 83aea0a0-94a4-49fc-8eb6-fd482d220042 · outbound

This paper cites Music and discov- ery.

Modeling Musical Genre Trajectories through Pathlet Learning Music and discov- ery

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 0ca48cf6-7fb9-4178-854c-26e033269aa9 · outbound

This paper cites Discovering music at sofar sounds: Sur- prise, attachment, and the fan–artist relationship.

Modeling Musical Genre Trajectories through Pathlet Learning Discovering music at sofar sounds: Sur- prise, attachment, and the fan–artist relationship

Reference 10

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 567f98f4-d063-40f0-96ee-90d586d44a89 · outbound

This paper cites Current challenges and visions in music recommender systems research.

Modeling Musical Genre Trajectories through Pathlet Learning Current challenges and visions in music recommender systems research

Reference 11

Resolution
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Source-reported events for the cited work

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Observation 7689e272-12f0-4977-bff5-ed3763ba35bc · outbound

This paper cites Neither black nor box: Ways of know- ing algorithms.

Modeling Musical Genre Trajectories through Pathlet Learning Neither black nor box: Ways of know- ing algorithms

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 cc99faf9-4dc4-4723-b8f5-714715bf2225 · outbound

This paper cites Traces of globalization in online music consumption patterns and results of recommendation algorithms.

Modeling Musical Genre Trajectories through Pathlet Learning Traces of globalization in online music consumption patterns and results of recommendation algorithms

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 21ee15da-516f-4c6f-8f9b-f5ee0972a402 · outbound

This paper cites Do recommender systems promote local music? a reproducibility study using music streaming data.

Modeling Musical Genre Trajectories through Pathlet Learning Do recommender systems promote local music? a reproducibility study using music streaming data

Reference 14

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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 49a623cc-ef1c-4c8b-b8cd-d874aecb857d · outbound

This paper cites Putting popularity bias mitigation to the test: A user-centric evaluation in music recommenders.

Modeling Musical Genre Trajectories through Pathlet Learning Putting popularity bias mitigation to the test: A user-centric evaluation in music recommenders

Reference 15

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 0cb28e1a-bdae-40fe-b7f1-2bbcb7a80447 · outbound

This paper cites Diversity of what? on the different conceptualizations of diversity in recommender sys- tems.

Modeling Musical Genre Trajectories through Pathlet Learning Diversity of what? on the different conceptualizations of diversity in recommender sys- tems

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 50ed0730-65df-4983-8244-53fa5984d62d · outbound

This paper cites Recommend me? designing fairness metrics with providers.

Modeling Musical Genre Trajectories through Pathlet Learning Recommend me? designing fairness metrics with providers

Reference 17

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Source-reported events for the cited work

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

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Observation 602a7909-c50a-4f78-9b1c-56f9128976da · outbound

This paper cites User perception of differences in recommender algorithms.

Modeling Musical Genre Trajectories through Pathlet Learning User perception of differences in recommender algorithms

Reference 18

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 d0be012c-172d-4dc3-8307-c766dedd10a3 · outbound

This paper cites Explainability in music recommender systems.

Modeling Musical Genre Trajectories through Pathlet Learning Explainability in music recommender systems

Reference 19

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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 4a5dd2a0-d3b8-4c03-a9af-f0890ae89f4e · outbound

This paper cites Large-scale parallel collaborative fil- tering for the netflix prize.

Modeling Musical Genre Trajectories through Pathlet Learning Large-scale parallel collaborative fil- tering for the netflix prize

Reference 20

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 2bed11a9-806f-4e24-b55b-322c8917c75c · outbound

This paper cites Col- laborative filtering for implicit feedback datasets.

Modeling Musical Genre Trajectories through Pathlet Learning Col- laborative filtering for implicit feedback datasets

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 404199ab-cbbc-4da8-8c6f-6fa78321abd6 · outbound

This paper cites Alternating least squares for personalized ranking.

Modeling Musical Genre Trajectories through Pathlet Learning Alternating least squares for personalized ranking

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 91132a16-9de6-44e8-930d-820b037327ee · outbound

This paper cites Using content-based filtering for recommendation.

Modeling Musical Genre Trajectories through Pathlet Learning Using content-based filtering for recommendation

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 3b580912-3fc5-4011-91f3-96c540e45f7e · outbound

This paper cites Hybrid recommender systems: Survey and experiments.

Modeling Musical Genre Trajectories through Pathlet Learning Hybrid recommender systems: Survey and experiments

Reference 24

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 7759ff88-162e-47aa-8839-3f978371f3b7 · outbound

This paper cites Modeling user preferences in recommender systems: A classification framework for explicit and implicit user feedback.

Modeling Musical Genre Trajectories through Pathlet Learning Modeling user preferences in recommender systems: A classification framework for explicit and implicit user feedback

Reference 25

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 8e228efd-12b9-4395-9362-2bdb0d04395e · outbound

This paper cites Neural collabora- tive filtering.

Modeling Musical Genre Trajectories through Pathlet Learning Neural collabora- tive filtering

Reference 26

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 7b30968f-307c-4f1a-93bd-4d902f2d5a6a · outbound

This paper cites Recurrent neu- ral networks.

Modeling Musical Genre Trajectories through Pathlet Learning Recurrent neu- ral networks

Reference 27

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 c0101f0b-041f-443c-9ce6-762c63008bb4 · outbound

This paper cites Long short-term mem- ory.

Modeling Musical Genre Trajectories through Pathlet Learning Long short-term mem- ory

Reference 28

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 d022f90c-6b1c-4db5-aa9f-5ffeba6872ba · outbound

This paper cites Transformers meet act-r: Repeat-aware and sequential listening session recommendation.

Modeling Musical Genre Trajectories through Pathlet Learning Transformers meet act-r: Repeat-aware and sequential listening session recommendation

Reference 29

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 0279effc-edb5-40ea-b137-e8f40d3518c7 · outbound

This paper cites Long and short- term recommendations with recurrent neural net- works.

Modeling Musical Genre Trajectories through Pathlet Learning Long and short- term recommendations with recurrent neural net- works

Reference 30

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 2af78770-8c60-43de-a39a-4580453461fd · outbound

This paper cites Music classification based on genre using lstm.

Modeling Musical Genre Trajectories through Pathlet Learning Music classification based on genre using lstm

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:54:32.638244Z

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 ddd7dadb-95ad-495a-89c8-9cb99cb515ce · outbound

This paper cites Embedding-based next song recommendation for playlists.

Modeling Musical Genre Trajectories through Pathlet Learning Embedding-based next song recommendation for playlists

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:54:32.622300Z

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 c3d3c788-169d-442c-ab62-efeed0283687 · outbound

This paper cites Where to next? a dynamic model of user preferences.

Modeling Musical Genre Trajectories through Pathlet Learning Where to next? a dynamic model of user preferences

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:54:32.605016Z

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 304fbec0-19c1-4da5-ab5f-3f7a484b3cab · outbound

This paper cites Learning from incomplete ratings using non-negative matrix factorization.

Modeling Musical Genre Trajectories through Pathlet Learning Learning from incomplete ratings using non-negative matrix factorization

Reference 34

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 87c564b1-7c97-4b5e-bf3f-a735cdfeefac · outbound

This paper cites Scalable recommendation with hierarchical poisson factorization.

Modeling Musical Genre Trajectories through Pathlet Learning Scalable recommendation with hierarchical poisson factorization

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:54:32.574862Z

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 27a61be0-36e7-40cd-80d0-71c7138d5a68 · outbound

This paper cites A survey on knowledge graph-based recommender systems.

Modeling Musical Genre Trajectories through Pathlet Learning A survey on knowledge graph-based recommender systems

Reference 36

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 a35643b9-d9db-4030-bfab-902e0ed6e473 · outbound

This paper cites Explainable sequential recommendation using knowledge graphs.

Modeling Musical Genre Trajectories through Pathlet Learning Explainable sequential recommendation using knowledge graphs

Reference 37

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 86575390-04b3-46e5-8279-882f5d255e3a · outbound

This paper cites A generic reinforced explainable framework with knowledge graph for session-based recommendation.

Modeling Musical Genre Trajectories through Pathlet Learning A generic reinforced explainable framework with knowledge graph for session-based recommendation

Reference 38

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 08dd19a9-f0d7-4c87-a78d-1602be7aa039 · outbound

This paper cites Online dictionary learning for sparse coding.

Modeling Musical Genre Trajectories through Pathlet Learning Online dictionary learning for sparse coding

Reference 39

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 7ad7b176-0160-4151-b26a-d53a60bf5a3e · outbound

This paper cites Efficient convolutional sparse cod- ing.

Modeling Musical Genre Trajectories through Pathlet Learning Efficient convolutional sparse cod- ing

Reference 40

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 22cc7ecf-2853-487d-b5a7-6fbe1220d497 · outbound

This paper cites Shift-Invariance Sparse Coding for Audio Classification.

Modeling Musical Genre Trajectories through Pathlet Learning Shift-Invariance Sparse Coding for Audio Classification

Reference 41

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 879a27ed-cdea-432c-a8ef-803383bcbf01 · outbound

This paper cites Modeling activity-driven music listening with pace.

Modeling Musical Genre Trajectories through Pathlet Learning Modeling activity-driven music listening with pace

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:54:32.469614Z

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 25be9d14-b9fc-403c-bb93-219321a6c59e · outbound

This paper cites Pathletrl: Trajec- tory pathlet dictionary construction using reinforce- ment learning.

Modeling Musical Genre Trajectories through Pathlet Learning Pathletrl: Trajec- tory pathlet dictionary construction using reinforce- ment learning

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:54:32.446532Z

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 d8c56ad0-7f73-4073-aa84-f0f9dc7ec1c9 · outbound

This paper cites Ex- plainable trajectory representation through dictio- nary learning.

Modeling Musical Genre Trajectories through Pathlet Learning Ex- plainable trajectory representation through dictio- nary learning

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:54:32.426724Z

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 7e8a9d67-833a-4a07-9206-b71797d6636d · outbound

This paper cites Pathlet learning for compress- ing and planning trajectories.

Modeling Musical Genre Trajectories through Pathlet Learning Pathlet learning for compress- ing and planning trajectories

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:54:32.406057Z

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 3eea78af-f3c3-4031-a7f4-b4d1fa63d2d2 · outbound

This paper cites an unresolved cited work.

Modeling Musical Genre Trajectories through Pathlet Learning Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-15T23:54:32.379187Z

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 6db3a90e-96f4-46e1-84ea-fee82cf1e3a0 · outbound

This paper cites Image compres- sion using learned dictionaries by rls-dla and com- pared with k-svd.

Modeling Musical Genre Trajectories through Pathlet Learning Image compres- sion using learned dictionaries by rls-dla and com- pared with k-svd

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:54:32.362379Z

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 7f5c24ce-dcc4-474b-9db4-ebcb948b41fb · outbound

This paper cites Image denoising via sparse and redundant representations over learned dictionaries.

Modeling Musical Genre Trajectories through Pathlet Learning Image denoising via sparse and redundant representations over learned dictionaries

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:54:32.346047Z

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 d8a1e5d9-9d28-4899-9b4b-10b2fd7f63b8 · outbound

This paper cites Anomaly detection in mixed telemetry data using a sparse representation and dictionary learning.

Modeling Musical Genre Trajectories through Pathlet Learning Anomaly detection in mixed telemetry data using a sparse representation and dictionary learning

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:54:32.328780Z

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.

source=pdf_text observed=2026-08-15T23:54:32.171144Z digest=sha256:9435c811b8fa7d3f1d9c9a2630a02ee5a813f67884256dccad35977b0b97c10f

Observation fb0302d5-8e6a-4a3f-a6ca-743387dbf693 · outbound

This paper cites Dictionary learning and sparse coding for unsupervised cluster- ing.

Modeling Musical Genre Trajectories through Pathlet Learning Dictionary learning and sparse coding for unsupervised cluster- ing

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:54:32.310376Z

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.

source=pdf_text observed=2026-08-15T23:54:32.175949Z digest=sha256:eed74dcf98d239117282e2a746c8d9fbb22261849f645c4b05ea4bb5f1045a77

Observation ce13721d-71e0-4195-a50e-ccbf86b79d13 · outbound

This paper cites Anomaly detection in self-organizing industrial systems using pathlets.

Modeling Musical Genre Trajectories through Pathlet Learning Anomaly detection in self-organizing industrial systems using pathlets

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:54:32.293217Z

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.

source=pdf_text observed=2026-08-15T23:54:32.180196Z digest=sha256:a0288497c3c59ceee9ce381918f1d8a11b3fe596b0027bed4433a9c5ded625f4

Observation 4e68b77d-3830-4808-be61-e7605c8ddc1c · outbound

This paper cites Music recommendation and discovery in the long tail.

Modeling Musical Genre Trajectories through Pathlet Learning Music recommendation and discovery in the long tail

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:54:32.277584Z

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.

source=pdf_text observed=2026-08-15T23:54:32.184739Z digest=sha256:d59a74ef5cedac0b4662652336acb7e376048d1c74273a2992e27a02365c3611

Observation 5de9ca14-1da0-46d5-a4c1-bddcb435d306 · outbound

This paper cites The unfairness of popularity bias in music recommen- dation: A reproducibility study.

Modeling Musical Genre Trajectories through Pathlet Learning The unfairness of popularity bias in music recommen- dation: A reproducibility study

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:54:32.261989Z

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.

source=pdf_text observed=2026-08-15T23:54:32.189249Z digest=sha256:b8821e51dbf595cf1438c8cd6a20f99ad9d06118df0e5ac4ebcec3f262d8b999

Pith citing papers

No inbound Pith citation observations are available.