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Paper Citation Record · LEDGER

Collaborative Prediction: To Join or To Disjoin Datasets

As of 12 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2506.11271.

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

pith.paper-citation-record.v1
2506.11271 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:20:53.863256Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

51 of 51 outbound references displayed

  • verified exact1
  • verified fuzzy43
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 636c18eb-6a78-469a-aaac-ad7ff6e3c033 · outbound

This paper cites Demand F orecast for O ptimized I nventory P lanning, 2023.

Collaborative Prediction: To Join or To Disjoin Datasets Demand F orecast for O ptimized I nventory P lanning, 2023

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.372441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:52.028284Z digest=sha256:aa84105c15ae966109b59ca368dcb89ee4cc6eae68bfdacf30cbc34eb5b2ef0f

Observation 175e16e9-35e5-48c6-a9b6-601090a8c876 · outbound

This paper cites Understanding intermediate layers using linear classifier probes.

Collaborative Prediction: To Join or To Disjoin Datasets Understanding intermediate layers using linear classifier probes

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T04:20:52.074496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:20:52.074496Z digest=sha256:a8503125213fefdf9b1ff4975e7eb60ba4dfc539539d1059b2685cb41b455df8

Observation 400d58e0-8e05-49a3-95fc-4c3d36266d6b · outbound

This paper cites Uncovering S hared S tructures in M ulticlass C lassification.

Collaborative Prediction: To Join or To Disjoin Datasets Uncovering S hared S tructures in M ulticlass C lassification

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.364474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:52.180385Z digest=sha256:55d96a89d2ea6a32b5f82fbfe75c3f8f7d5158400cadbe6d0fdf07676adb42ad

Observation 8097f24a-2874-4b30-869c-c6bd73ababbd · outbound

This paper cites A F ramework for L earning P redictive S tructures from M ultiple T asks and U nlabeled D ata.

Collaborative Prediction: To Join or To Disjoin Datasets A F ramework for L earning P redictive S tructures from M ultiple T asks and U nlabeled D ata

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.355733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:52.270030Z digest=sha256:eb92d90758f2029cdc142e37b61e9ece222b07289fcc55d024f91eec86f2a8f8

Observation a7f5bd31-a76d-4372-8e3d-f0931665440e · outbound

This paper cites Data-driven C alibration of L inear E stimators with M inimal P enalties.

Collaborative Prediction: To Join or To Disjoin Datasets Data-driven C alibration of L inear E stimators with M inimal P enalties

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.347260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:52.385668Z digest=sha256:f4087aba9675c00df41f5789203e369d1e93d699e09c981218cdaba5ed309648

Observation 0aa307ed-980d-4a3b-86c7-8762f55efaaa · outbound

This paper cites Feature Representation in Convolutional Neural Networks.

Collaborative Prediction: To Join or To Disjoin Datasets Feature Representation in Convolutional Neural Networks

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:20:53.910762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:52.497917Z digest=sha256:2c6528344a487383d9f289cdb06053604721cf0ae02bc2540e373c49bd6a5845

Observation 633dde0e-9476-4f91-8e26-4b7a304f74d9 · outbound

This paper cites Task C lustering and G ating for B ayesian M ultitask L earning.

Collaborative Prediction: To Join or To Disjoin Datasets Task C lustering and G ating for B ayesian M ultitask L earning

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.339187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:52.621685Z digest=sha256:7e189a0d072a29f1f786321b83d8808bb83ae43d819d7f0c81a178355abbe5e1

Observation 85e3195c-7f52-4f4e-8dd0-c6534d2106a7 · outbound

This paper cites Rademacher and G aussian C omplexities: R isk B ounds and S tructural R esults.

Collaborative Prediction: To Join or To Disjoin Datasets Rademacher and G aussian C omplexities: R isk B ounds and S tructural R esults

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.330389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:52.762600Z digest=sha256:7d4fd67ce23ac2ad4c2dfe602e04af95138fa00144dd2e3de97c0f87dc45d17e

Observation 28727887-6344-4cd9-af38-3082643fecf5 · outbound

This paper cites C onvex M ulti- T ask L earning by C lustering.

Collaborative Prediction: To Join or To Disjoin Datasets C onvex M ulti- T ask L earning by C lustering

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.320755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:52.921038Z digest=sha256:0345429b77d09d19cd0c46f1b11edaad1798311ad6e9916616845ea429cbc49e

Observation 8d64b692-9379-464a-a23d-3d3af1c1f50c · outbound

This paper cites Procaccia, and Mingda Qiao.

Collaborative Prediction: To Join or To Disjoin Datasets Procaccia, and Mingda Qiao

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.312010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.046317Z digest=sha256:0c8cabf6c10ea9311ac4ea730c23a0b4c896dc5015fb5dea9c03c51ed06b375f

Observation 4f107f54-b162-446a-a9da-c04bd0cc4376 · outbound

This paper cites Concentration I nequalities: A N onasymptotic T heory of I ndependence.

Collaborative Prediction: To Join or To Disjoin Datasets Concentration I nequalities: A N onasymptotic T heory of I ndependence

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.303116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.206064Z digest=sha256:5b6e5353ed11e1a25e049a3b013e6b49ca080a6c35358bffe9d02764d8571dbf

Observation 38587580-9265-4229-88a7-003bdca98eea · outbound

This paper cites Random F orests.

Collaborative Prediction: To Join or To Disjoin Datasets Random F orests

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.293838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.276160Z digest=sha256:1a79d6f4303e3f641de0f8210b527975ce39ce34106ca67d5e51ab1a8bff89ee

Observation 2c8d3724-6759-4674-b0f0-4f1348bc0387 · outbound

This paper cites Xgboost: A S calable T ree B oosting S ystem.

Collaborative Prediction: To Join or To Disjoin Datasets Xgboost: A S calable T ree B oosting S ystem

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.284583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.303272Z digest=sha256:f7ef8ea6289865f0873574cb5fce87d55149a2ed0dc9c472f3712559c78421c4

Observation a1383498-afbb-484a-aec7-43caa2c872f5 · outbound

This paper cites Walmart R ecruiting - S tore S ales F orecasting, 2014.

Collaborative Prediction: To Join or To Disjoin Datasets Walmart R ecruiting - S tore S ales F orecasting, 2014

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.275874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.423154Z digest=sha256:d6785dfb9c4b55aa4f0bf6b7a338c3a512d6ce571f888d22fdc2c49350a5628e

Observation 24f92451-13af-4b51-858a-2ab78d56243b · outbound

This paper cites An E lementary P roof of a T heorem of J ohnson and L indenstrauss.

Collaborative Prediction: To Join or To Disjoin Datasets An E lementary P roof of a T heorem of J ohnson and L indenstrauss

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.265474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.588303Z digest=sha256:4547e37bc96a72789c8c64470cd04fbfce825eaa19aac4a0afe1f0b794962492

Observation 13e4505a-19c7-4949-ab8c-79241199c038 · outbound

This paper cites Regularized M ulti– T ask L earning.

Collaborative Prediction: To Join or To Disjoin Datasets Regularized M ulti– T ask L earning

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.256602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.683712Z digest=sha256:17cc4230246dc4612050c688a277bda65aab9a5cbc8ec0112a3a767acdedbf2e

Observation 004f9f94-ec0a-431d-8056-ed41d89897ec · outbound

This paper cites Collaborative L earning via P rediction C onsensus.

Collaborative Prediction: To Join or To Disjoin Datasets Collaborative L earning via P rediction C onsensus

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.248846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.694437Z digest=sha256:fccb99a99dc89e4af72337fbe2db8b35980c1843f251b9d09e59302147dcb8e8

Observation b0d70c89-cf46-47c0-9e48-ff96d43e6684 · outbound

This paper cites Corporación F avorita G rocery S ales F orecasting, 2017.

Collaborative Prediction: To Join or To Disjoin Datasets Corporación F avorita G rocery S ales F orecasting, 2017

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.240048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.765260Z digest=sha256:11146bdc8caf135595af2945a1d9daa2f9ec6165fc201f24f13403bb781c5d4c

Observation 8089e5cc-7913-4b4b-936f-b729a5ea7bc7 · outbound

This paper cites Rossmann S tore S ales, 2015.

Collaborative Prediction: To Join or To Disjoin Datasets Rossmann S tore S ales, 2015

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.230868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.769942Z digest=sha256:cb7ed67cc91652e7a59b465660becee3b0bc4bf6e8d5ab9b2888cc187540c1ea

Observation 3b0ba2f4-965a-47bd-8917-58e07ea6ad22 · outbound

This paper cites Non- and S emi- P arametric M aximum L ikelihood E stimators and the von M ises M ethod.

Collaborative Prediction: To Join or To Disjoin Datasets Non- and S emi- P arametric M aximum L ikelihood E stimators and the von M ises M ethod

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.222176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.783748Z digest=sha256:5b2d0d11ac033f4d8a45bff4e7381f2ca3157b59f47a84a5008bfc7882ab1979

Observation 65fec79e-e884-4449-8c17-fff5fb974b03 · outbound

This paper cites an unresolved cited work.

Collaborative Prediction: To Join or To Disjoin Datasets Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:20:54.213226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.786085Z digest=sha256:fb5c46dfdfb08ac0e42f6d966e5ef6a7edb904ef98ed4ff2d413ada23d59dd32

Observation 8a3d270e-2e12-40f2-b184-cc2931d062be · outbound

This paper cites M etro I nterstate T raffic V olume.

Collaborative Prediction: To Join or To Disjoin Datasets M etro I nterstate T raffic V olume

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T04:20:53.788684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:20:53.788684Z digest=sha256:0caa749636b922d579dc10537227d8b9dcdebaae69e3bc32773c6588a6c871a4

Observation 590f2faf-f6d0-403a-bfe4-e720c61a749f · outbound

This paper cites A T ail I nequality for Q uadratic F orms of S ubgaussian R andom V ectors.

Collaborative Prediction: To Join or To Disjoin Datasets A T ail I nequality for Q uadratic F orms of S ubgaussian R andom V ectors

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.204098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.791761Z digest=sha256:9bade8c065a6f80ef08405cf17972db03afedc01c8c9d1c8c25f562ca9ceb861

Observation b3ccb314-fc54-400a-947d-6c8741103618 · outbound

This paper cites Brendan McMahan, Brendan Avent, Aur\' e lien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G.

Collaborative Prediction: To Join or To Disjoin Datasets Brendan McMahan, Brendan Avent, Aur\' e lien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.195754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.794296Z digest=sha256:3aa644610e077d6b2c1bcceb74147cdc3ea3243c6a6d9e954ba9f0c0528387fa

Observation 142b6270-c07f-4a5d-9cc6-56c58a3b28a9 · outbound

This paper cites Kolmogorov.

Collaborative Prediction: To Join or To Disjoin Datasets Kolmogorov

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.187433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.796996Z digest=sha256:4bfb3b62251bbacb1b52fc720074e5b5fcd67c45a8a504876bf630b4eec995c7

Observation c41328ad-4e9b-4635-b5a0-c2488808390f · outbound

This paper cites Learning T ask G rouping and O verlap in M ulti-task L earning.

Collaborative Prediction: To Join or To Disjoin Datasets Learning T ask G rouping and O verlap in M ulti-task L earning

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.179116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.799909Z digest=sha256:a249af5d98f5c03efb1dab0b425c39da7b93a17e678928dddcdc0d21ee294449

Observation 7944bcad-47f2-49d3-af94-478c62a575b7 · outbound

This paper cites Small B all P robability E stimatesin T erms of W idth.

Collaborative Prediction: To Join or To Disjoin Datasets Small B all P robability E stimatesin T erms of W idth

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.169585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.802766Z digest=sha256:ac9567c5033958c91bbdf97d4bef445b0ef76e6c429aa222dc88b7dd110bfffe

Observation dfa34f8f-77fc-437e-b47b-190c8faa5832 · outbound

This paper cites Probability in B anach S paces.

Collaborative Prediction: To Join or To Disjoin Datasets Probability in B anach S paces

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.161786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.805520Z digest=sha256:8e4b9d28e01d731d8b45c4817de738c8652fae5b8ca5f61edfc163cb60f2312a

Observation 33c6b4e1-0b8a-4be1-913c-a8c782e39464 · outbound

This paper cites Convergent L earning: D o D ifferent N eural N etworks L earn the S ame R epresentations? International Conference on Learning Representation, 2016.

Collaborative Prediction: To Join or To Disjoin Datasets Convergent L earning: D o D ifferent N eural N etworks L earn the S ame R epresentations? International Conference on Learning Representation, 2016

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.152807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.808832Z digest=sha256:6daaa7183d15b55411b5d7e7c0112294b57b24a20219b618977a121c0df8c2f5

Observation 363bd849-a2a3-4d5f-b2c7-2689e78b323f · outbound

This paper cites an unresolved cited work.

Collaborative Prediction: To Join or To Disjoin Datasets Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:20:54.144086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.811347Z digest=sha256:d4a8aaf8142d9bf32d8a6bfaabfd56b819e6f1fe5f0c1e68a9ae002a73582b27

Observation 933d81fe-0561-46fd-8528-eaeec585c633 · outbound

This paper cites A C ollaborative L earning F ramework for E stimating M any I ndividualized R egression M odels in a H eterogeneous P opulation.

Collaborative Prediction: To Join or To Disjoin Datasets A C ollaborative L earning F ramework for E stimating M any I ndividualized R egression M odels in a H eterogeneous P opulation

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.135559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.813567Z digest=sha256:703e718be769b7932878e20f982e61bee34800b5ae8d377fe8eb758a6ceca67a

Observation 07053cae-5042-4fd1-ae53-37d95d97c04e · outbound

This paper cites Tsybakov, and Sara van de Geer.

Collaborative Prediction: To Join or To Disjoin Datasets Tsybakov, and Sara van de Geer

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.126841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.816298Z digest=sha256:feddc7eb2cd6d4f58fc752eb727292ef4142ba3ab9cad6583ee9ed4e4b3c38b1

Observation 82f53932-69a2-43f3-8058-430b2c58331c · outbound

This paper cites An E lementary P roof of A nti- C oncentration of P olynomials in G aussian V ariables.

Collaborative Prediction: To Join or To Disjoin Datasets An E lementary P roof of A nti- C oncentration of P olynomials in G aussian V ariables

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.118226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.818595Z digest=sha256:149ba9f6fb368cd14dd1485a31ccce12d31e2ff36d2728d1347d979d99250048

Observation 3444563a-021e-44a7-a840-5cc109bbf2bf · outbound

This paper cites On the M ethod of B ounded D ifferences.

Collaborative Prediction: To Join or To Disjoin Datasets On the M ethod of B ounded D ifferences

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.108926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.820826Z digest=sha256:fd4ee3b4b3272597cf80904b1988a932a61c3e79c16a38d5ffc77075090cd818

Observation ec99224d-b13d-4b69-8691-f5e8c27e63e7 · outbound

This paper cites Combining I nformation from M ultiple S urveys by U sing R egression for E fficient S mall D omain E stimation.

Collaborative Prediction: To Join or To Disjoin Datasets Combining I nformation from M ultiple S urveys by U sing R egression for E fficient S mall D omain E stimation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.098907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.823432Z digest=sha256:f4c6d45aff775f42ebd2ed1f93647768bdd407af598e6d2817ab5e3c0a9d00db

Observation 4d9ba068-7aca-47dd-861e-76c57b46c677 · outbound

This paper cites Boom B ikes - L inear R egression, 2021.

Collaborative Prediction: To Join or To Disjoin Datasets Boom B ikes - L inear R egression, 2021

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.089614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.825768Z digest=sha256:619fe5b3c364b1567faf0c20aacb064d6aafd6127ce0bc096bc2b5061465a714

Observation 3daa746e-669f-4097-94d3-1ea9e9633a6f · outbound

This paper cites Co-Clustering for Multitask Learning.

Collaborative Prediction: To Join or To Disjoin Datasets Co-Clustering for Multitask Learning

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T04:20:53.828288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:20:53.828288Z digest=sha256:e7aac955408e678090a7238f9033af9ed4d0cec44aa693d34403fc857959800d

Observation 71a255a4-9fca-4d41-96c3-95060b17f801 · outbound

This paper cites an unresolved cited work.

Collaborative Prediction: To Join or To Disjoin Datasets Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:20:54.079734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.830802Z digest=sha256:4a05f54f4e5f384c7f8e0cedfb47ab0fe8d332683f09dbe66f05abfb31b820ca

Observation f40b1c11-4898-4b79-958c-3f7c05922367 · outbound

This paper cites Hanson-Wright inequality and sub-gaussian concentration.

Collaborative Prediction: To Join or To Disjoin Datasets Hanson-Wright inequality and sub-gaussian concentration

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T04:20:53.833446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:20:53.833446Z digest=sha256:1e5d6283db35c75355a4424f8763848d6fd9a0203f49b67946ccb6368d06c1fb

Observation 36b00126-717c-40c7-b20f-c1ae668c171e · outbound

This paper cites Walmart D ata A nalysis and F orcasting, 2023.

Collaborative Prediction: To Join or To Disjoin Datasets Walmart D ata A nalysis and F orcasting, 2023

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.070025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.836276Z digest=sha256:d8405169c212a71b46daa54f28b2087627428634c5135cca2e6328f79a00dcde

Observation 9a181c54-9c56-4e78-94e5-e11900b3e8a3 · outbound

This paper cites Minimization M ethods for N on-differentiable F unctions.

Collaborative Prediction: To Join or To Disjoin Datasets Minimization M ethods for N on-differentiable F unctions

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.060893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.838584Z digest=sha256:ff08cb458336be12d5690aa04d875377fd582e36143bd9794b8e5a33378b9e5a

Observation 5c1a549d-fda3-49ce-9b83-7e6fb2fd1da8 · outbound

This paper cites Productivity P rediction of G arment E mployees, 2021.

Collaborative Prediction: To Join or To Disjoin Datasets Productivity P rediction of G arment E mployees, 2021

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.050815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.840977Z digest=sha256:114fc488c72785324d45a39a7a6bdde64b3f45fbae7dc45d277b48cf07f9c38c

Observation 230f8536-3a6f-4dde-9be0-90fb8a73fa70 · outbound

This paper cites Multi-task R egression using M inimal P enalties.

Collaborative Prediction: To Join or To Disjoin Datasets Multi-task R egression using M inimal P enalties

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.041362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.843468Z digest=sha256:d9bd58e53257c19beb6869512a0f4c53594964f5712d06e2de65bb0ee2648e75

Observation 670f1c8d-cfbb-47e8-9f69-f032213f7d07 · outbound

This paper cites Jaakkola.

Collaborative Prediction: To Join or To Disjoin Datasets Jaakkola

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.032103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.845828Z digest=sha256:f902a045591d7b6fc8cec7a84abed4dfe547f89446b9e9d1cff5c319b1a05ae3

Observation 6154aec4-48d0-46fa-9f64-0f3341f7d8ca · outbound

This paper cites Using D ata M ining T echniques for B ike S haring D emand P rediction in M etropolitan C ity.

Collaborative Prediction: To Join or To Disjoin Datasets Using D ata M ining T echniques for B ike S haring D emand P rediction in M etropolitan C ity

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.022932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.848357Z digest=sha256:f2529cca0506b7551a581bd22dcea3b0102754328935e21aaea53bcc340cb1a3

Observation 895e2f4a-8821-4cfb-8499-d7b4d99fe947 · outbound

This paper cites High- D imensional P robability: A n I ntroduction with A pplications in D ata S cience.

Collaborative Prediction: To Join or To Disjoin Datasets High- D imensional P robability: A n I ntroduction with A pplications in D ata S cience

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.013453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.850818Z digest=sha256:bcd15dece27a369095f26ae7cc73d4c822c0cfea643b6f1e5f73323bdfa52e4d

Observation 7b62b93c-e84d-48eb-a771-1d7c018f59d8 · outbound

This paper cites Robust T ask G rouping with R epresentative T asks for C lustered M ulti- T ask L earning.

Collaborative Prediction: To Join or To Disjoin Datasets Robust T ask G rouping with R epresentative T asks for C lustered M ulti- T ask L earning

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:54.002803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.853776Z digest=sha256:632f48660be9e9e3aa20ce1dac8cab07f9e11b58b360ef8bb35132720d0a26da

Observation b88871d2-d6e9-4b72-a94d-d819bf24d01e · outbound

This paper cites Large- S cale C ollaborative P rediction U sing a N onparametric R andom E ffects M odel.

Collaborative Prediction: To Join or To Disjoin Datasets Large- S cale C ollaborative P rediction U sing a N onparametric R andom E ffects M odel

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:53.989036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.856239Z digest=sha256:478010305af90123ad84073dcdb6b1dd9559bf7be4c68679173e75d85c785ad1

Observation 844ba08f-f3e3-4b05-9847-3fc7744d3014 · outbound

This paper cites Probing gpt-3’s L inguistic K nowledge on S emantic T asks.

Collaborative Prediction: To Join or To Disjoin Datasets Probing gpt-3’s L inguistic K nowledge on S emantic T asks

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:53.968568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.858605Z digest=sha256:ca4100ad83f7e4eae3871ccd3639f443e7e4329d93778205cccaccc1233e7da1

Observation f5c2bc6a-d59e-4d09-9ad3-aceaf3a5060d · outbound

This paper cites Collaborative P erformance P rediction for L arge L anguage M odels, 2024.

Collaborative Prediction: To Join or To Disjoin Datasets Collaborative P erformance P rediction for L arge L anguage M odels, 2024

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:53.952139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.860893Z digest=sha256:ea7aa18c824697bad452d3daa5fc492f748875bf26139d3861c2c18f26862a04

Observation 7795f909-2140-476f-b59a-22ece34eb6c0 · outbound

This paper cites Flexible C lustered M ulti- T ask L earning by L earning R epresentative T asks.

Collaborative Prediction: To Join or To Disjoin Datasets Flexible C lustered M ulti- T ask L earning by L earning R epresentative T asks

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:20:53.935077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:53.863256Z digest=sha256:31a116f0091073156559c7b7008eba12ad50c632934523800cbb082857352ffb

Pith citing papers

No inbound Pith citation observations are available.