Paper Citation Record · LEDGER

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data

As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2507.13413.

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

pith.paper-citation-record.v1
2507.13413 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:39:33.444980Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

26 of 26 outbound references displayed

verified exact0
verified fuzzy7
unresolved17
parse uncertain2
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 90d38227-504d-4c06-bfce-d3885d4f399a · outbound

This paper cites an unresolved cited work.

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:39:40.198123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cf7bde60-ce1b-4263-a1ec-364aa4343e53 · outbound

This paper cites This code is autogenerated and will be regenerated upon project restarts.

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data This code is autogenerated and will be regenerated upon project restarts

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:39:40.049767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8abdedab-0aa8-4175-ae13-a0ac3d8dec0e · outbound

This paper cites an unresolved cited work.

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:39:39.866629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 61a8e476-31c6-4bc8-857e-c4c9eed05fd9 · outbound

This paper cites r2-score.

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data r2-score

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:39:39.645225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 28932887-8b23-426f-9fbe-8e9d0f8bbc7a · outbound

This paper cites an unresolved cited work.

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:39:38.390237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c6db1bee-1771-43a6-9e20-5edb6784610e · outbound

This paper cites an unresolved cited work.

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:39:39.390692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f996a773-45fb-4cde-8e6a-b18b6785947b · outbound

This paper cites an unresolved cited work.

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:39:39.198595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 865a5b4b-b209-4b57-9185-fc5d0605a80d · outbound

This paper cites an unresolved cited work.

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:39:38.958039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ecb9d08d-005d-4599-ad3b-a5dafcd50949 · outbound

This paper cites 4.1 Data type: 4.1.1.

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data 4.1 Data type: 4.1.1

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:39:38.682964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c9af430e-adf3-424f-8d4f-4705dd186ed2 · outbound

This paper cites an unresolved cited work.

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:39:38.099424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4c07e056-fc3a-41b4-973a-6e0bf5e17e5c · outbound

This paper cites an unresolved cited work.

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:39:37.885122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6b700f48-5faf-4c88-85e1-673cfb8b3e74 · outbound

This paper cites Ensure that the analysis is thorough, with a strong emphasis on :.

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data Ensure that the analysis is thorough, with a strong emphasis on :

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:39:37.556848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a15f3629-de9a-4128-bf4d-a72d072e2666 · outbound

This paper cites an unresolved cited work.

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:39:37.285193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 73299498-b797-4470-840b-f7640d7654a5 · outbound

This paper cites an unresolved cited work.

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:39:37.044790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 442527a7-3d96-4df1-ab04-3c01983d4689 · outbound

This paper cites an unresolved cited work.

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:39:36.733219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 76f777c1-510e-4d8b-929a-8ea37454e3e3 · outbound

This paper cites an unresolved cited work.

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:39:36.463528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 13c5ed4c-e11c-4272-85a8-b7de7b24d27b · outbound

This paper cites Normalization ensures all features are on the same scale, improving model performance. For example, a scaling process converts values like 'age' (5-90) to 0-1.

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data Normalization ensures all features are on the same scale, improving model performance. For example, a scaling process converts values like 'age' (5-90) to 0-1

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:39:36.144326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4266ee10-8b23-4b55-8617-281793f51826 · outbound

This paper cites an unresolved cited work.

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:39:35.818167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 947b59ac-e19d-4a65-aaea-d250d9cd69bd · outbound

This paper cites an unresolved cited work.

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:39:35.545890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 693f9e04-2cc7-4c38-b8fa-8db5253da5bd · outbound

This paper cites an unresolved cited work.

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:39:35.212787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b2af07f9-e3bf-4f07-80ff-34da99e48229 · outbound

This paper cites an unresolved cited work.

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:39:34.866004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fb249302-dd2d-4fd5-bf4a-075eac91fd4a · outbound

This paper cites an unresolved cited work.

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data Unresolved cited work

Reference 23

Resolution: parse uncertain; raw_fallback, observed 2026-08-06T16:39:34.604527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 62003413-2cbf-46a0-b8cd-af80a01a04c1 · outbound

This paper cites an unresolved cited work.

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data Unresolved cited work

Reference 24

Resolution: parse uncertain; raw_fallback, observed 2026-08-06T16:39:34.285809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1b10de3b-49e0-4cc1-869d-a47e8c3f09a5 · outbound

This paper cites Accuracy tells us how often the model gets it right.

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data Accuracy tells us how often the model gets it right

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:39:33.999500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c8c69b0b-bda7-407e-86ea-c49b943292c5 · outbound

This paper cites This model predicts X with an accuracy of Y%, demonstrating its potential in Z applications.

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data This model predicts X with an accuracy of Y%, demonstrating its potential in Z applications

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:39:33.708660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 37ba32bd-1e1a-46ba-bb41-a2b436ab305f · outbound

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

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T16:39:29.556134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.