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Paper Citation Record · LEDGER

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling

As of 17 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2502.08845.

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

pith.paper-citation-record.v1
2502.08845 v2

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:33:01.125059Z

measured 66 of 66 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

66 of 66 outbound references displayed

  • verified exact13
  • verified fuzzy15
  • unresolved34
  • parse uncertain0
  • malformed identifier4
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6be528ed-5e9f-4518-954e-841e23246d39 · outbound

This paper cites Adomavicius and J.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Adomavicius and J

Reference 1

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unresolved
no resolver link, observed 2026-08-07T23:33:00.888169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cda5ce0c-b138-428e-b769-f8585e5b8de7 · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 2

Resolution
verified exact
doi, observed 2026-08-07T23:33:01.277163Z

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 6b02b3c9-98b7-4f13-8d35-cb7e264ec845 · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-07T23:33:02.736157Z

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 06851184-caae-4f41-aa69-3a50291e1357 · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 4

Resolution
verified exact
doi, observed 2026-08-07T23:33:01.266400Z

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 1220f664-707f-432f-bdce-3b24f54f4e9f · outbound

This paper cites Alibrahim and S.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Alibrahim and S

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:02.725924Z

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 2c87a0c6-3c7e-4d41-a190-1fdfbc6a2a7c · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-07T23:33:02.715953Z

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 13d42edd-6ee2-4957-9935-434acb4766e8 · outbound

This paper cites Auto-Surprise: An Automated Recommender-System (AutoRecSys) Library with Tree of Parzens Estimator (TPE) Optimization.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Auto-Surprise: An Automated Recommender-System (AutoRecSys) Library with Tree of Parzens Estimator (TPE) Optimization

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-07T23:33:02.225865Z

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=2026-08-07T23:33:00.916710Z digest=sha256:63180e5bf169b2c8d1a7ed569fc90d107be9e5367012fec955b0d96d8362d8b7

Observation bec3e5fa-3865-445c-8605-2e1f1a1f7c45 · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T23:33:02.706211Z

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 b6b301b7-29a1-46ac-9905-ab12d3679045 · outbound

This paper cites Arabzadeh.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Arabzadeh

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-07T23:33:02.694753Z

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 e602e373-e825-43d3-b32c-cfac54590883 · outbound

This paper cites Arabzadeh, T.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Arabzadeh, T

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 5d39ee9c-8715-4110-b2ed-9847058ce649 · outbound

This paper cites Basaran, E.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Basaran, E

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:02.671468Z

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=2026-08-07T23:33:00.931746Z digest=sha256:8f1a15d7718c54e2fcff100e6d911be2211ef7aca14e0204280152ffd3661d1e

Observation 192188db-2f1e-4967-b1dc-596fb9b90706 · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T23:33:02.662023Z

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=2026-08-07T23:33:00.935331Z digest=sha256:abbcc8bb31ec5feed4f14966389444ce1836fa7173c20068122c4786d25c301e

Observation 28829cfc-37c1-4dee-89c4-ce455617838e · outbound

This paper cites Beel and V.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Beel and V

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:02.652719Z

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 7a707a59-55c2-4fa8-8f30-a9f17e5e463f · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 14

Resolution
verified exact
doi, observed 2026-08-07T23:33:01.255729Z

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=2026-08-07T23:33:00.942103Z digest=sha256:a7c86b2d19501c7b4ff868ed9d45858144338b9da22dd55282702113e24dcf25

Observation e6903284-081d-4dab-ad65-629e896316e8 · outbound

This paper cites Bentzer and H.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Bentzer and H

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:02.642952Z

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=2026-08-07T23:33:00.945417Z digest=sha256:f5d86673a29801921f88c6f46ba2dd58144bfbf7b5cfb649030a30de57af1d76

Observation a984cc84-d7b1-4d9c-b333-8319b00c8382 · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-07T23:33:02.623574Z

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 ffa0220e-f6e9-4511-8b5d-79e8d5c66ade · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 17

Resolution
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no resolver link, observed 2026-08-07T23:33:00.956444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bed30a10-d08e-4b69-bb53-99590395dc4a · outbound

This paper cites Castellanos-Nieves and L.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Castellanos-Nieves and L

Reference 18

Resolution
verified exact
doi, observed 2026-08-07T23:33:01.238626Z

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 4d7d7b6b-7d45-4994-a432-d3d3fb7c814f · outbound

This paper cites Castellanos-Nieves and L.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Castellanos-Nieves and L

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:02.613871Z

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 acf82710-42b1-4792-a4e8-facc14466505 · outbound

This paper cites Ca ˜namares, P.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Ca ˜namares, P

Reference 20

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unresolved
no resolver link, observed 2026-08-07T23:33:00.966820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ab8c32ac-5299-4c68-9a94-6f37f92fa962 · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 21

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 41597bb9-b5c1-4705-a298-110511d3c6af · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 22

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unresolved
no resolver link, observed 2026-08-07T23:33:00.973654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 367210ba-910b-4b63-8901-cd8f5b6b3698 · outbound

This paper cites Cremonesi, Y.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Cremonesi, Y

Reference 23

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no resolver link, observed 2026-08-07T23:33:00.977001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b94e53c9-ff67-488d-a833-91665a1d1027 · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-07T23:33:02.603656Z

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 db94a44b-2037-4936-a8cc-d2da32c0d703 · outbound

This paper cites Carbon intensity of electricity generation – em- ber and energy institute, 2024.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Carbon intensity of electricity generation – em- ber and energy institute, 2024

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:02.593183Z

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 3b2d7de0-adcc-4bf6-8966-f02ee97163f0 · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4affe3ff-a09b-4ea0-8d22-f38f4462f606 · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T23:33:01.002472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d73cedfd-bcde-424a-99da-d18475960f5b · outbound

This paper cites Towards Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural Networks.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Towards Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural Networks

Reference 29

Resolution
verified exact
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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 f81720e0-b1e8-4ef4-85c8-dcc172352ece · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T23:33:01.010054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bfa77aac-97de-454a-99e3-244a98ee8893 · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 31

Resolution
verified exact
doi, observed 2026-08-07T23:33:01.214330Z

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 92c7f67c-4631-428f-9aa3-f411e0b3919c · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-07T23:33:02.571273Z

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 1484f1f7-9ec2-4df6-a6bf-6d8f2cfc7bc2 · outbound

This paper cites Ku ˙zelewska.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Ku ˙zelewska

Reference 33

Resolution
verified exact
doi, observed 2026-08-07T23:33:01.197483Z

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 b818ab6b-2f07-4989-b5b9-1b3477e6d644 · outbound

This paper cites Quantifying the Carbon Emissions of Machine Learning.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Quantifying the Carbon Emissions of Machine Learning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T23:33:01.022407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:33:01.022407Z digest=sha256:da27389edd1c5ba184176d60ccd29dca6a227cd69210b218a77a4f04df5a1bd5

Observation b2c323fd-2400-4fa3-9f1a-a8e94f425e25 · outbound

This paper cites Jain and R.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Jain and R

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:02.581695Z

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 07871c40-a20d-436d-a294-953315818abf · outbound

This paper cites Knowledge Graph Pruning for Recommendation.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Knowledge Graph Pruning for Recommendation

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-07T23:33:01.800343Z

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 1f7e3818-6275-4158-8585-1510c1484fae · outbound

This paper cites Maslowska, E.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Maslowska, E

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:02.550285Z

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 82d54deb-e9bd-4caa-8939-0938d070d12d · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T23:33:01.039537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:33:01.039537Z digest=sha256:ced9f42229a5cff304d110fab58e12f7e7ba72e7308e28b6015df87c2a5bbcc8

Observation 19fd6cf5-07bf-4645-bdc3-1b84336d1df0 · outbound

This paper cites Lannelongue, J.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Lannelongue, J

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:02.561308Z

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=2026-08-07T23:33:01.025676Z digest=sha256:2a7d39ed39c1e9fe840a4f8fff6559a8f0074c91d5f718aa0e6c89c3513ba89e

Observation e62f9bfe-6a09-481c-9d2d-a857348b711d · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 40

Resolution
verified exact
doi, observed 2026-08-07T23:33:01.179696Z

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=2026-08-07T23:33:01.046762Z digest=sha256:d84cd77eeb3880153d324e027dfbe33cf8c9a35a4d4d1b6478eadb9e9292344d

Observation 6dcc1f70-3762-4994-b1b6-db1871d119a3 · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-07T23:33:02.539729Z

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=2026-08-07T23:33:01.050409Z digest=sha256:affa11771f9bbba2d310c96104a2a77ac049b53f76713ed5f9cc4297d123e544

Observation 9b9d7e7a-409f-4e37-904f-63a1413570cd · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-07T23:33:02.528341Z

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=2026-08-07T23:33:01.053869Z digest=sha256:182ea89a5330f6971ab88c42c333ed9af4f062251dec433d30eb75a8d14ddb3f

Observation fcfba5c8-a8f8-446f-aa0e-10feb24c3e87 · outbound

This paper cites Roy and S.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Roy and S

Reference 43

Resolution
verified exact
doi, observed 2026-08-07T23:33:01.169177Z

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=2026-08-07T23:33:01.057353Z digest=sha256:6a4811e63604d91f043670d5804ab33cdfd3b5db815a7e64dd0e11b1c9fcc1e6

Observation 9e90463b-6613-4879-a06e-37098570e0c8 · outbound

This paper cites Michiels, R.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Michiels, R

Reference 44

Resolution
malformed identifier
no resolver link, observed 2026-08-07T23:33:01.043140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:33:01.043140Z digest=sha256:1e6732a16b47e08c08cfb0f95bac46f8f36a547068097d5be682253a9645ccb5

Observation b9491e95-b3d7-4195-b577-9936199d5bef · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-07T23:33:02.517949Z

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=2026-08-07T23:33:01.064642Z digest=sha256:99f9cd2834a4237ab69c7f5f249cc37ad4e81644efc21830da4f9430155ece19

Observation 1d131585-e6fa-4c08-9895-88267767e193 · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-07T23:33:02.504198Z

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=2026-08-07T23:33:01.068317Z digest=sha256:7f3d9617bbdde38c0f037cf7409414f5fa1c442a63766f7d1535942366eac94f

Observation e6974d29-89fd-4bab-9027-f1c9eeaf4785 · outbound

This paper cites Evaluating the performance-deviation of itemKNN in RecBole and LensKit.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Evaluating the performance-deviation of itemKNN in RecBole and LensKit

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T23:33:01.071682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:33:01.071682Z digest=sha256:83b8919cb590e917c33a0bc2fbca0bd95231431fe5592199a2239fd7b8213a1b

Observation f4f88da4-d7b4-40d9-b687-da54c5cd2066 · outbound

This paper cites Silveira, M.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Silveira, M

Reference 48

Resolution
verified exact
doi, observed 2026-08-07T23:33:01.158805Z

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=2026-08-07T23:33:01.075625Z digest=sha256:121aade8eeaed01db0ed7847d379dbdcc778bf247011614c9cab6682f8de3c72

Observation 4b0d1652-3e03-4c43-8246-3ce2f255528c · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T23:33:01.061022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:33:01.061022Z digest=sha256:7a89bfd73cc341aa6a3a7d57c3ab342cd1cda45a3d867c4dfbfa4c8fe212df88

Observation 6f904915-48bf-42db-86c4-73384d9b1d1b · outbound

This paper cites Spillo, A.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Spillo, A

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T23:33:01.082727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:33:01.082727Z digest=sha256:bfd243486e57f30e850c66f38622afa6c85744063d1296985fb5dc2c7a2a37e7

Observation e32baddd-7ce8-4a88-b999-231471e5797b · outbound

This paper cites Spillo, A.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Spillo, A

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:02.475880Z

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=2026-08-07T23:33:01.086246Z digest=sha256:7a910a726cfc9fdddb1e15a0bef5f775004ad69752507b2cc7e8a80248dbbb01

Observation 103fa606-bbe8-4298-acdd-e9a028e7125f · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-07T23:33:02.463634Z

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=2026-08-07T23:33:01.089917Z digest=sha256:f22bf0f42db61f6ba23acebeb91e7f05869d8e990f028eb3f673644d70cf7527

Observation 9a7ebb2a-c7d2-45f1-9be1-3d5ccafdb7f5 · outbound

This paper cites Sundberg.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Sundberg

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:02.450200Z

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=2026-08-07T23:33:01.093516Z digest=sha256:d19bbb823b63844dcc927e03186e65ff98433f3fc657a6a97c82b216957d6de1

Observation e50a2ffe-4609-40c6-92e9-96f87f4b44b5 · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 54

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T23:33:02.487481Z

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=2026-08-07T23:33:01.079192Z digest=sha256:5825439a947ef6c07eea3c347e4c15580120dd88e3f197ccf649d7767f93a752

Observation 7a55b7d9-abad-4db9-80e4-cb5602ca1eea · outbound

This paper cites Tornede, A.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Tornede, A

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:02.426429Z

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=2026-08-07T23:33:01.100662Z digest=sha256:d5c82edb70b1752b2f57f187ca20d5b4c68e127cdad52fa32d9bcb74dd1a241f

Observation ff46c927-783b-40c7-b984-c5bc50786ba6 · outbound

This paper cites Van Meteren and M.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Van Meteren and M

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:02.415575Z

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=2026-08-07T23:33:01.104130Z digest=sha256:e0d60fc556545528c26c0d9babbe28b82b409dcfa78e5cd8ddc6a9a1bea1402e

Observation 06a9937f-347c-4c53-a223-80c9d4418c4e · outbound

This paper cites Vente, M.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Vente, M

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T23:33:01.107589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:33:01.107589Z digest=sha256:7296e1336b67fc11404ad7e89699f6c7f8fb10bed00840e5fde8f0756d33aaa3

Observation 86c1d9d2-4dbf-4d0d-8373-5864062df646 · outbound

This paper cites Vente, L.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Vente, L

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T23:33:01.111029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:33:01.111029Z digest=sha256:d0972381e8d36bfb81516a32d362622a3834db07fc28846be1b9b110c3abdc69

Observation 8bde0ccc-a2db-4806-a55d-bc817be2e151 · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-07T23:33:02.437759Z

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=2026-08-07T23:33:01.097167Z digest=sha256:3e3b45bfae7b8e6be76487ec3e4117a342673d0a500a5bff0d92570f96b35911

Observation 868d25fb-a0d7-40aa-a4e0-ff6c37202977 · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-07T23:33:02.393014Z

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=2026-08-07T23:33:01.117883Z digest=sha256:4117bb3bbfc8ece524c63299fa46bffbdf4366fd7f4d480e7518007fa7f77425

Observation f43ba0ca-21d6-4ae6-8937-859e380036bd · outbound

This paper cites Computation Resource Allocation Solution in Recommender Systems.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Computation Resource Allocation Solution in Recommender Systems

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-08-07T23:33:01.362738Z

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=2026-08-07T23:33:01.121097Z digest=sha256:a26b22f402f11ec65be320bb63774183202e29427cfb26d8a2202025330b2170

Observation d814cb15-9d29-4353-8fdc-a20f3ba9660a · outbound

This paper cites Zogaj, J.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Zogaj, J

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T23:33:01.125059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:33:01.125059Z digest=sha256:e57c8392687799cebc515443b80c7501181b9e0e901b49925914972c5854c4a4

Observation 07313ffe-a3f7-4ae4-bf09-fd48348b3fca · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-07T23:33:02.404497Z

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=2026-08-07T23:33:01.114616Z digest=sha256:8783a5ac71843b72b04c2babe8a286f1418a1c244439af77dda76de6396858a3

Observation 64b942b0-9c95-4668-b8e9-bc7be64d593c · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T23:33:00.984812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:33:00.984812Z digest=sha256:7d7d891c761b976455059e2fdb7b7c5651c81c39daa3066fd97e827164c41b0c

Observation 3e43edcb-da5c-4b6f-a8ee-8dc70c35faf2 · outbound

This paper cites 1002/advs.202100707, doi:10.1002/advs.202100707.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling 1002/advs.202100707, doi:10.1002/advs.202100707

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T23:33:01.028637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:33:01.028637Z digest=sha256:1924003c67329a9483336add44fc312f00d4f9802131df29eba2ed77a78d0e2b

Observation 6d006b32-e45c-4e2e-a8a1-231a00743e23 · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 2023

Resolution
unresolved
raw_fallback, observed 2026-08-07T23:33:02.633342Z

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=2026-08-07T23:33:00.949134Z digest=sha256:b559add9aa56ed336cbbe544c01c05496a5b0d25701cd16c289196dfdbbe1682

Observation c59cf47a-1cfc-47b7-81d9-f44c0a709298 · outbound

This paper cites an unresolved cited work.

Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling Unresolved cited work

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T23:33:00.912762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:33:00.912762Z digest=sha256:88c5bb146f2e658a752aec0eebf6fd8858446b2a88947ee9d25d2f2339df9a5b

Pith citing papers

No inbound Pith citation observations are available.