Pith. sign in

Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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:a419defbf5bc993295d260771b12c218e62964d76fc85e160649f2fc24154313

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=sha256:14f370196d640722cb55b42dfebdfb4cc9f42dc703451693f501507ff87ae8d9

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:e8eaf77d56c0d095987250982e23a81aaf9f19919eb2f2b4218b65bba168227a

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:b5cc459ccfc909062e87e95d9ead84494eb84a4efa33992a133382a3d0272868

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=sha256:6c233b7fd093ce2276a738c50d898af6cd7e227a026c1fd0bf657098eeadcc14

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:e888d5256237ec233ba352dfa3f60bb5960082d2b71522bc8086710edd9efb41

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:d8f089c077a0158fd2acf0e30a9cea01f1aae23f6fa72fd8f339ab4cdc94d37b

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:f129aad82a145f3bce78963e9febc415dab62c594d9621e4c3201015e6f42dff

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:d50fe2be3fccf528cf11f36fb12252b6c4062791d0b426cd23b4e6f18f24c523

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=sha256:1e76cb08fbb27593221f46e9fddf34cba851157abe5de1007cacfd1a5eab3df1

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:e5012eb679e4bcbb4889af8cd726509a170bd6220b4e77d7bdd70cf7781d3e50

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:aaeb996fbcf429e7b7611d1e40a93effaa16a23aa316e390f4dca8a2e465188b

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=sha256:8e5592f0a7a7cf62c3b54adde0a592c8972723bf106e5b9acfbfe19b86954ef3

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=sha256:7c0a7a1a6962e80a66aff416d7de46e6c724eb709efafa454bcc6e29b4d4c33e

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=sha256:1f0bb2f20827bf9db7838cae2d9507e5aba5f6bd672a6daf926e01d265d41705

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:f8ccb9f50dc568c59de2bf43460a0b72737e498c9dbdf731745b4e2741f8c346

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=sha256:1cdeaeefb5978a51fea635a5896383aafbfdf0af5d4b261bc9ad89ab62f5ce57

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=sha256:7c66e2bdc688e0d808b45960fe3e4f9144d25b6391d67ba97f13298fe149ef6c

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=sha256:7bbe683a004b25a4ca9a7e9cd4a986c4105c6338905908fdeba5489898d536a6

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:dd96d37032fc5e3bb661c28e65ec30e96e23a14e3d9cfdf16d314dcd467db5a7

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=sha256:549a4de634d540ec9677207d06bed7c787350508c66dcf95ea264a4c58580cfe

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=sha256:796bd6f96c9410971a9e1756999146ac87068013a379989cedff6e705e329506

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:fb00a746bbf76579eb75c09b61d2d1ec29c4d76c94ca14f4858d63f341470d23

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:c68f23a428941ebaa006118678702547c8925c69ea5a74ee61b675b197d929ae

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=sha256:4ea14a1e3aa6a3d1b56b8f5f209bf46b3892ec20aed94b73994882511be55763

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:fd8ce4b17f4279bc6b5c5257e29fcf0b1a49af41a25466a6ea0644b939ee850e

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=sha256:0dd653116ef106f5158172592e341ed299e9119cfae8055c5aa4e62c7b98f951

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:bb71bf81ee0fde14fa2ae123455ec36c968ede2c64c3daeba6ff732b7f4b3196

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:e95c35077ce7ebfea27f175e46d8e074773587e9a82f25ff6530bb556b210f35

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=sha256:5db036d82676bfde766aea63fb61dc2d63b88b8330592cc5af10c0c1a399de87

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=sha256:7c8c41028b9a3375a77dfde3f216cb39d93c1f9611aa81407e363b79aaad241c

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:d056196aaaaafc5c17f755ceb7a1bc70605be894df504b54c3e4f1b974fb94ec

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=sha256:669bced01fdb164bf6f0d190fdde7d06cb0bc6b21e7ea9da001155ac84bf7f54

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=sha256:5a0f3f7518e1a2fbae3b82922a2d5424650adbf462daff48fba12fe263a54df1

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:a5c346ed888eab3ace53a8c646e1c9394572f1606b1dcf6261e949811d2668ad

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=sha256:9d6846db4400098d54323e438e7462d8c94e58d4310d047ec37f90b6e86da4a2

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=sha256:96f1cbb44e5f742dd80f7e4c5d9653556d2a7bc5cbb04879ab80fc85e38215ee

Pith citing papers

No inbound Pith citation observations are available.