Pith. sign in

Paper Citation Record · LEDGER

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data

As of 10 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2602.02025.

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

pith.paper-citation-record.v1
2602.02025 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:32:59.830298Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

37 of 37 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved37
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation da957803-02ba-47fc-8211-99b511a2ac0d · outbound

This paper cites an unresolved cited work.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:55.073187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:55.073187Z digest=sha256:6f951c6d07532c25eab79de80e4731c9d1c6c5f7e2f67f6e1b222770c220636a

Observation da26ff8b-fc5c-4547-beda-af35c72ae7ac · outbound

This paper cites an unresolved cited work.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:55.173925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:55.173925Z digest=sha256:0191e55302f96949e04cb41ec0f2b080fedead04d32814b1b404a1c5fdb13d51

Observation a14d15ca-a051-4b4e-b7fa-e0be875bdd89 · outbound

This paper cites an unresolved cited work.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:55.290614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:55.290614Z digest=sha256:78cc7834d39354d1dcec9a40a7a3023cc89bbbc4921a57e6bc49b5e9e19a8f9d

Observation cf247fd4-64fc-40b2-a9da-c43be164f62a · outbound

This paper cites an unresolved cited work.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:55.449346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:55.449346Z digest=sha256:8c15a64f455c06c77a6c21e1925cf34c1e1e53b77f9a876dde68937fe8e93d82

Observation 7f59575e-796e-4aad-934b-033d22511597 · outbound

This paper cites an unresolved cited work.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:55.563312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:55.563312Z digest=sha256:35370f38196c57e7b31870882c080a389b6c370eccd38d121d44a89be000beca

Observation 7daa1231-6a4e-4aeb-a090-844121ffdf8c · outbound

This paper cites an unresolved cited work.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:55.708183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:55.708183Z digest=sha256:ffe7cf88768a78c4122c7165f40d6865fb2a4cc8774acf62794bd62c29bf0a53

Observation 073ea468-408d-488f-85ec-cbc29296f57e · outbound

This paper cites Dyer and Camille F.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Dyer and Camille F

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:55.903592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:55.903592Z digest=sha256:f89843950422915a0e7c43fc3b3584b87f133f02e5d90f0a62fd20af93189b71

Observation 37a03155-bea4-45c0-b0d9-35a0cdb0a484 · outbound

This paper cites AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:56.009367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:56.009367Z digest=sha256:a8c414af11b15bb5b44a89ee31a32eeaf4ba2f038e35648803fbb07fb9f09ea5

Observation 812559f8-c3e4-40e4-8d10-c37574bee531 · outbound

This paper cites an unresolved cited work.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:56.189625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:56.189625Z digest=sha256:c7d290151134849d1de5067451e461a718b79c776f62b9b78b5c042a199e2b7d

Observation 34a3409c-281f-4da1-b8c7-b785f8a1ac74 · outbound

This paper cites an unresolved cited work.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:56.335954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:56.335954Z digest=sha256:e08b97bf2f49760d584345f895b415c2dae7f8dbc3aeec3035e03383ce676e5c

Observation 3748bb2a-5c12-40a2-b142-217dd5f6baa5 · outbound

This paper cites an unresolved cited work.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:56.534444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:56.534444Z digest=sha256:2355a89cb5fa00bea8935c3637767a07c60a6e1ae257d166cdeadd82bd5702e6

Observation 5c7f0710-866c-48dd-8b0c-32cde8ff6de7 · outbound

This paper cites an unresolved cited work.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:56.652200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:56.652200Z digest=sha256:c2d56da6a27795fbdc5df969ad5d2773d23136d865a54ad32fcbc123e085f19b

Observation 7f204fc6-5563-4ba5-8cae-e8f2d4ed672a · outbound

This paper cites an unresolved cited work.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:56.841434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:56.841434Z digest=sha256:0fcf950c5fd4a2a24d841d53e812cb3fd73df0e0166ed928c911b3fb30475263

Observation 49a0f8a8-8931-4105-9379-18a0c55a50c3 · outbound

This paper cites an unresolved cited work.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:56.974976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:56.974976Z digest=sha256:0f8df382ee45408512617965bd632c6e9226bcbaded3aab7ae912f89b35d8bb0

Observation dc455c08-4e67-42a6-9e09-9c6c417b3bee · outbound

This paper cites an unresolved cited work.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:57.108551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:57.108551Z digest=sha256:53a01b788cf9e29580074c26a8d981ff0c5cd4404605d74f63250cf03c1d5443

Observation 589d0036-5827-4fb2-a404-164c2a5cece1 · outbound

This paper cites Jeong, Zachary Chase Lipton, and Pradeep Kumar Ravikumar.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Jeong, Zachary Chase Lipton, and Pradeep Kumar Ravikumar

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:57.381543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:57.381543Z digest=sha256:cf954c5081be80beccb7fe6db2cb8927ece558f806a33d2ddc44eaad63ae4e51

Observation 029203a4-5f88-434c-8549-5e12bcd893dd · outbound

This paper cites SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:57.543993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:57.543993Z digest=sha256:54a3c0aa557d7056ee90e1c186b53ab5de76bc23a28a41dbd4e6ca2331dc8ca1

Observation ca525313-d46f-4a4c-903c-6ef1c95ab955 · outbound

This paper cites an unresolved cited work.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:57.759000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:57.759000Z digest=sha256:395dd55e14a87281e7078c8b6aba97c4fa9fa3471e5258d8fc7e8fe57db45e1e

Observation 617ca679-449b-451f-a8e4-4f6ffdb69850 · outbound

This paper cites an unresolved cited work.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:57.936355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:57.936355Z digest=sha256:d90c4f8ade03ed817b0ac943eb24e7a701139b880e20de42ec61944a30817e8f

Observation 3e428fa0-0d3c-4772-8c45-c061b8c71cd2 · outbound

This paper cites Miller, and Mirek Riedewald.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Miller, and Mirek Riedewald

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:58.140706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:58.140706Z digest=sha256:74a5a66d116fec7dab41f65d5da0550af04c4df723b7eaf15c73c6062fa1744a

Observation 1a0c0b8d-c05c-4757-b66b-707f3de1e359 · outbound

This paper cites Naughton, Jignesh M.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Naughton, Jignesh M

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:58.286979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:58.286979Z digest=sha256:a0e5dea18e890e82d02861275bd9ad7218d0cc83ad46eca1a95fccc7ba060afb

Observation 7ea8a0ed-af35-4972-9426-fbcbae47a7d9 · outbound

This paper cites an unresolved cited work.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:58.478999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:58.478999Z digest=sha256:4fb357657194637d93f597f966e2d4cc58ce9ee8bbda4ba3aa70800fa2ffd532

Observation 525eaf8d-9437-47ca-9ebc-97f5347adaf0 · outbound

This paper cites an unresolved cited work.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:58.654916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:58.654916Z digest=sha256:3e18a61f188d7b8304dc19c7f24938b40cc7e1d542af5aa497e00642b456fd04

Observation 45ffe852-cdc7-4994-a0f5-7a0a18f5a321 · outbound

This paper cites an unresolved cited work.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:58.756941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:58.756941Z digest=sha256:1d3c827519039b62e8a2f6044366ad071cf256aa9c6327f63e128af8f23834e9

Observation b2634cce-743a-4313-bcd0-86645abd5c81 · outbound

This paper cites an unresolved cited work.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:58.905913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:58.905913Z digest=sha256:06cabc04b46280711704c09ef966b5fa99818feaafd842570ed0ff09bfa55215

Observation 4ff28d82-4c65-488d-9907-a69b20414c71 · outbound

This paper cites an unresolved cited work.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:59.082814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:59.082814Z digest=sha256:3a20e33df386f43a23704316ec834d24006c644215155b9f022387b2b7e99908

Observation 6bdc03ab-e47e-4f16-8295-fac35e992297 · outbound

This paper cites an unresolved cited work.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:59.209647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:59.209647Z digest=sha256:09e7e96dd39faa7b3c9cba138ef8bd0253a03567dc97dd36a4c0a3a9c73f2793

Observation fd2a9a8f-7a08-4167-bee9-7e0b382dbb42 · outbound

This paper cites an unresolved cited work.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:59.266917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:59.266917Z digest=sha256:ab9623638ad2c8dc1b78319af0bf900c430b628504a455525c08ba2436b9e5f9

Observation dcfbf9f1-478f-4831-aaa0-98b00d3cccb6 · outbound

This paper cites an unresolved cited work.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:59.323965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:59.323965Z digest=sha256:0cbafe732d7a3cddb5cde7bb85bb06e5d09ec9369a426406659a61cb22b0bee6

Observation cb8ec5f7-defb-495c-adda-88a17dc2d70f · outbound

This paper cites an unresolved cited work.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:59.369652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:59.369652Z digest=sha256:e89412c12d0877c47dad4d05baa5911618891679a13123d2b82def824bb2766c

Observation 384f2c78-e9ec-43d4-ac65-4f3884474aad · outbound

This paper cites an unresolved cited work.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:59.421936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:59.421936Z digest=sha256:5c369d8c6296272f035ab2d436db58ca22e12243349bac423b9766d68224d403

Observation c920ff48-42ec-4620-8093-c2b32f1e1160 · outbound

This paper cites an unresolved cited work.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:59.474810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:59.474810Z digest=sha256:fecaa04f8f7a3ad1deff56c065c2bb61d2ff2ba42e1618f8dca611da4dccb863

Observation 423ebaa4-f8d3-4fb4-8ae8-1c191a6083a3 · outbound

This paper cites Alizadeh, Kangwook Lee, Jose Blanchet, Mert Pilanci, and Robert Tibshirani.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Alizadeh, Kangwook Lee, Jose Blanchet, Mert Pilanci, and Robert Tibshirani

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:59.526907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:59.526907Z digest=sha256:56b6aa36bbe68a85ce1450eb64fd9a425947893c392b1d9db1fe78ac445b5480

Observation 0fd250fd-9dec-4b07-90bd-f20ffdd67915 · outbound

This paper cites an unresolved cited work.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:59.789425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:59.789425Z digest=sha256:ccc7308bc905edf1441dc02ca3da39741fb2e912141ee3dc7c443fe01d9149c5

Observation 106b628a-837f-4710-93cf-ce7a432f9262 · outbound

This paper cites an unresolved cited work.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:59.830298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:59.830298Z digest=sha256:10fb54f1c41db1bd8315d00f130035936bde3ae21fb082d81f5578b0b0e82317

Observation 6b691f9d-fad8-44e7-85ec-b0ee46f2f4d7 · outbound

This paper cites In40th IEEE International Conference on Data Engineering (ICDE).

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data In40th IEEE International Conference on Data Engineering (ICDE)

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:57.277291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:57.277291Z digest=sha256:30374528fda08954f06687afaa5624c883e7382b3f76f6207380e584f597e1d8

Observation be4bbc4e-f6bb-46b6-bf79-5c962d08fbae · outbound

This paper cites LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:59.672327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:59.672327Z digest=sha256:881f76385ce13f2a8a921ede2728e717494c27926f2bdcdf62fff7fec792c8b1

Pith citing papers

No inbound Pith citation observations are available.