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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 2026-08-08T06:32:00.761636+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

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:39:29.724302Z digest=sha256:302a94ad639ca302ca0bdcb89fe959761fa1d6bab184feadd5b1df950a4d9dfb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:39:29.845942Z digest=sha256:7b00932abb087fffc27d051571effbaf1842fbf32a292893a6b4874ba974c3fa

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:39:29.994244Z digest=sha256:15e7a2d7c9bf85c6c90e89269e0cf6ad93648db147abfc08c5dc6085bfe3266c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:39:30.164318Z digest=sha256:83de4760d27f357d1437658eb0263a4a954273f16c33cacf9da95a6aa9da5565

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:39:30.925365Z digest=sha256:79b3ce8694bb49283f45eec94115798b00977298977654bb31c9b22c5fc72ce5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:39:30.295232Z digest=sha256:000de3314a96d1f159011ef347e9084b23055c5e9dda5bbbc15d15bdad7227a7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:39:30.417697Z digest=sha256:2782543bd7505e0c57575f75d11015d239dccff1518b540c48f2184ddb6fa0f8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:39:30.600293Z digest=sha256:845a75673c0e7a8b9aab6223ee3d0e92f26b1d5f4753f06f638aa474a0432d76

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:39:30.752201Z digest=sha256:6fadd240e7caae646241781cfe9be381a22657e3fddd096f0318827a3975d279

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:39:31.058516Z digest=sha256:6ef3b18707d9e3a1dd7e9a1c8a7bc4f03545d17968337e50b071977b565bfb51

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:39:31.201346Z digest=sha256:f29d2d764e2a1f62c7d8ffcac4bdf53c3d3212261b835d99989d7a9c389bc909

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:39:31.337281Z digest=sha256:5d5b3ec62661cd2afee21cbcba583091eab347ae759402c0aed4a37ba55e5c04

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:39:31.504259Z digest=sha256:b56b9f4893ec8c43888c1683788ccf6851f10bc0926c9627cce902ca1ea35a16

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:39:31.667182Z digest=sha256:191e3be14d502e206601755dd852253486828e091a4c34b720e2d35fea51495c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:39:31.810313Z digest=sha256:51712ddb485c2c6cf1bbfc77af8c5298916655703777f34ede0c04434c872746

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:39:31.966126Z digest=sha256:18dafde669c907a6eee0cd15d2f08b3f8a6f05ed37e93de2560771a090a9b377

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:39:32.138665Z digest=sha256:c800ce81141902f62e924e1b5d2e5cbcf6f9472d0cd4432ea9b72253f5d2078d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:39:32.295359Z digest=sha256:43a561f08627c1d0eca1eafae700ec7cd340d71ff8b72eda4fcc2b7d57020151

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:39:32.424725Z digest=sha256:492a17681826b6a289d6a08ae3ccb7ac09ae079111424e7a242477f4b588cb66

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:39:32.610293Z digest=sha256:7e2f38aef87388d24d457808122dc8a6fe36154de78a603489d1b718037fd850

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:39:32.793497Z digest=sha256:1e972a81c4652b682f28848401af13c57bae813abbc6472daec55a08a0cef067

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:39:32.921141Z digest=sha256:eeb4a88e2de42ba1157f13d604ed0a5cb47d537f5d5db0d9651b5a7618f34f6e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:39:33.121433Z digest=sha256:9555d9ebcd4132f2f29ce8579546e792a3e1d5193744293307d32241baa3c717

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:39:33.291701Z digest=sha256:cb7bc32427344ba732274b683ce2b1daf9c17c1b547cd29863e6a5574ac50aa9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:39:33.444980Z digest=sha256:6d9d8b95601203020bfdda30bee187e721b7b233d1958f7903c1edaad4d6b134

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.

source=pdf_text observed=2026-08-06T16:39:29.556134Z digest=sha256:722eaae5555e0ae9e101fb180b1f2a8514c2b06b112865e7ac84138901da2c7a

Pith citing papers

No inbound Pith citation observations are available.