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Paper Citation Record · LEDGER

On Finetuning Tabular Foundation Models

As of 8 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 7 inbound Pith citation observations for arXiv:2506.08982.

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

pith.paper-citation-record.v1
2506.08982 v2

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:01:16.738843Z

measured 27 of 27 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:47:53.890757Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T17:30:00.735970Z

Reference resolution

20 of 20 outbound references displayed

  • verified exact0
  • verified fuzzy6
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 038998ab-bf2c-4e01-9ed0-9f077df47d8b · outbound

This paper cites den Breejen, F., Bae, S., Cha, S., Kim, T.-Y ., Koh, S.

On Finetuning Tabular Foundation Models den Breejen, F., Bae, S., Cha, S., Kim, T.-Y ., Koh, S

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:18.127395Z

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.

source=pdf_text observed=2026-08-07T05:01:15.854455Z digest=sha256:529264e02dbc21e1b63f3259711985be141be75f049a49d2f55b0c6316821e27

Observation e9693b6a-53d1-4740-9735-9b335efbef68 · outbound

This paper cites and Ruder, S.

On Finetuning Tabular Foundation Models and Ruder, S

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-07T05:01:17.997064Z

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.

source=pdf_text observed=2026-08-07T05:01:15.968032Z digest=sha256:dac0ccdb9ded62e50cb92f8a59a4185f59c0f3821a372dcb53846c83925c5b4d

Observation 7d5e08d6-9ec8-44a6-b176-01c9adf00ded · outbound

This paper cites an unresolved cited work.

On Finetuning Tabular Foundation Models Unresolved cited work

Reference 10

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raw_fallback, observed 2026-08-07T05:01:17.696169Z

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.

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Observation 82c21601-189e-4b3c-a7dd-618b825cc706 · outbound

This paper cites Prokhorenkova, L., Gusev, G., V orobev, A., Dorogush, A.

On Finetuning Tabular Foundation Models Prokhorenkova, L., Gusev, G., V orobev, A., Dorogush, A

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-07T05:01:17.478489Z

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.

source=pdf_text observed=2026-08-07T05:01:16.312275Z digest=sha256:be47ea6ce8f66b6afdffa74aad201e87a2ac28120e5131d7065e4c1c11633fb2

Observation 7eadd182-4a60-4b3e-a333-f73ccd4e6b08 · outbound

This paper cites Revisiting Pretraining Objectives for Tabular Deep Learning.

On Finetuning Tabular Foundation Models Revisiting Pretraining Objectives for Tabular Deep Learning

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:16.355836Z digest=sha256:a6ea86e2bf618b3ab160807dd814786d7c231de4cf1139641b593c4884f79ad9

Observation 45d5a59e-d1ec-4d1c-90f0-38809e222c62 · outbound

This paper cites Retrieval & Fine-Tuning for In-Context Tabular Models.

On Finetuning Tabular Foundation Models Retrieval & Fine-Tuning for In-Context Tabular Models

Reference 15

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no resolver link, observed 2026-08-07T05:01:16.422966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:16.422966Z digest=sha256:fb75af49e0cc8e4db452f8ef17c774d5b112fc393f13372b1c799b265a7fd127

Observation cf966524-9fca-41af-88b4-c9ca5f2b721e · outbound

This paper cites Mixture of In-Context Prompters for Tabular PFNs.

On Finetuning Tabular Foundation Models Mixture of In-Context Prompters for Tabular PFNs

Reference 16

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no resolver link, observed 2026-08-07T05:01:16.456087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:16.456087Z digest=sha256:a2f1308506b657993bd8ba4cb960fa47fb4637929c05ea0a9b87bf11a1192a8c

Observation f683dc8e-a48c-40b3-8056-89fd414fe3f3 · outbound

This paper cites Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later.

On Finetuning Tabular Foundation Models Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later

Reference 17

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unresolved
no resolver link, observed 2026-08-07T05:01:16.500496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:16.500496Z digest=sha256:d96398bdaa70facb9dfe0d36a4a81a6f5c24b137e52b28d4532509240a1ced02

Observation 8f115ec4-e37f-4ab5-a86f-5bb7366ed90c · outbound

This paper cites Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning.

On Finetuning Tabular Foundation Models Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning

Reference 18

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unresolved
no resolver link, observed 2026-08-07T05:01:16.555087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:16.555087Z digest=sha256:29dedddf27253184ee006cb4aa57e6c6c38a2ca449fa57f615b5fc7aa0f99465

Observation 5aad260e-c68a-4091-bd78-c3bcd3b42f09 · outbound

This paper cites To run it one must also obtain the TabPFNv2 checkpoints from hf.co/Prior-Labs.

On Finetuning Tabular Foundation Models To run it one must also obtain the TabPFNv2 checkpoints from hf.co/Prior-Labs

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:17.270008Z

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.

source=pdf_text observed=2026-08-07T05:01:16.647683Z digest=sha256:4d696c860ebe1572eee8a942180d6fea2eb602d6c60f478753ae3a025a47677d

Observation 413abd8b-232c-45e3-a0c5-28a335715d74 · outbound

This paper cites A more thorough analysis of such cases is reserved for future work.

On Finetuning Tabular Foundation Models A more thorough analysis of such cases is reserved for future work

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-07T05:01:17.116217Z

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.

source=pdf_text observed=2026-08-07T05:01:16.738843Z digest=sha256:e0109f4cdbe9d423fcf9e01f06aa9b05e66eee3116c8593f9f5767940854a5c8

Observation 1e841f17-8975-471c-9d92-fcf7c9f86f23 · outbound

This paper cites Big transfer (bit): General visual representation learning.

On Finetuning Tabular Foundation Models Big transfer (bit): General visual representation learning

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:01:17.844400Z

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.

source=pdf_text observed=2026-08-07T05:01:16.057972Z digest=sha256:b51611ad068298e6a5e030a56bf285e06ea79b6a049c15bf68a4e1db9251a221

Observation e89a21c1-d573-444f-834f-c3a00111c2ab · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

On Finetuning Tabular Foundation Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 2018

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unresolved
no resolver link, observed 2026-08-07T05:01:16.011402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:16.011402Z digest=sha256:8c1c43905a530cfaaa57d230ae7ca1ff18231a160af77a0031456257a1d78562

Observation f445a64e-2342-4e4c-9bff-e5a180c3adb4 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

On Finetuning Tabular Foundation Models The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 2019

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unresolved
no resolver link, observed 2026-08-07T05:01:16.129556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:16.129556Z digest=sha256:d3e028b70888894e6565ea8b2ee5931fe90821a0ae6bc37e2f9b60c87ca7195c

Observation 1e095396-bfff-4435-96cc-6e05062d2135 · outbound

This paper cites What Would Elsa Do? Freezing Layers During Transformer Fine-Tuning.

On Finetuning Tabular Foundation Models What Would Elsa Do? Freezing Layers During Transformer Fine-Tuning

Reference 2020

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unresolved
no resolver link, observed 2026-08-07T05:01:16.092844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:16.092844Z digest=sha256:4dfa13b78bd45a1c35bf68fb0836b62677df635f00fe45b682fe411a85d2a10e

Observation c914df49-5887-444a-b602-0fd9b0e6381b · outbound

This paper cites PaliGemma: A versatile 3B VLM for transfer.

On Finetuning Tabular Foundation Models PaliGemma: A versatile 3B VLM for transfer

Reference 2021

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no resolver link, observed 2026-08-07T05:01:15.755481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:15.755481Z digest=sha256:33e1f37ab76274b417a0ce43c973195756d75742b831034ef43b90e2e6c36640

Observation 60ef153e-f65d-4310-9154-839ef74eb1b6 · outbound

This paper cites In-Context Data Distillation with TabPFN.

On Finetuning Tabular Foundation Models In-Context Data Distillation with TabPFN

Reference 2022

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unresolved
no resolver link, observed 2026-08-07T05:01:16.239003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:16.239003Z digest=sha256:5e4bf1d4c73e704248627e6caaf727b4be473fbf9bf87a67dcc5260a6fc88f85

Observation 00fd822f-25ad-408e-8f81-8c96a9b0c739 · outbound

This paper cites TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks.

On Finetuning Tabular Foundation Models TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks

Reference 2023

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unresolved
no resolver link, observed 2026-08-07T05:01:15.917513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 786f7d78-df5c-4e7f-919b-ca7a31e24369 · outbound

This paper cites D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.

On Finetuning Tabular Foundation Models D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al

Reference 2024

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:15.790788Z digest=sha256:22482471d51061000ba537d3c1955fdee77a56f41976bad249d67f513175ed9f

Observation 1d180baa-2d8b-4f52-bccf-26d36e070ebc · outbound

This paper cites SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training.

On Finetuning Tabular Foundation Models SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 2025

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unresolved
no resolver link, observed 2026-08-07T05:01:16.394064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:16.394064Z digest=sha256:91bcd3dcae41176bf3b7dd7d3fe311f1915151ef8bdf5fed20d77799c641e98f

Pith citing papers

Observation 5bbcab51-ff8b-4164-95df-475751516003 · inbound

Turning Tabular Foundation Models into Graph Foundation Models cites this paper.

Turning Tabular Foundation Models into Graph Foundation Models On Finetuning Tabular Foundation Models

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-05T14:47:53.890757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:47:53.890757Z digest=sha256:7e5149f25409a6bd005b2a7d9ec155bd66974c3af385f9ab238394d762db168f

Observation d01ca53b-7331-46b8-8256-8a96b94edddf · inbound

Talking Trees: Reasoning-Assisted Induction of Decision Trees for Tabular Data cites this paper.

Talking Trees: Reasoning-Assisted Induction of Decision Trees for Tabular Data On Finetuning Tabular Foundation Models

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-21T22:05:41.535846Z

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.

source=pdf_text observed=2026-05-21T22:05:11.146329Z digest=sha256:98010fb2ef9f3da8bbf555113d64521d7df4653350be9c8a1d347adec617e336

Observation e3384382-8d30-47ed-9dce-fdd26931512b · inbound

TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models cites this paper.

TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models On Finetuning Tabular Foundation Models

Reference 25

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verified exact
arxiv_id, observed 2026-05-11T18:46:08.351343Z

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.

source=pdf_text observed=2026-05-08T14:07:51.545351Z digest=sha256:178c4391158f045e0b2495af27876c821994ede2738d0b88e473f917e984ae9b

Observation 1159d0c2-8589-4cff-8ae1-2aa92d526b2d · inbound

TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models cites this paper.

TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models On Finetuning Tabular Foundation Models

Reference 26

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verified exact
arxiv_id, observed 2026-05-12T07:56:31.970538Z

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.

source=pdf_text observed=2026-05-12T01:27:56.674153Z digest=sha256:c64a2e567081734ff1547adb624871646398958de29ac1bc20115e3cff5f7a1f

Observation 16345b56-c0b7-4b31-8e54-6c4c6269d5ab · inbound

Data-efficient flood depth prediction through domain-aware coreset selection and tabular foundation models cites this paper.

Data-efficient flood depth prediction through domain-aware coreset selection and tabular foundation models On Finetuning Tabular Foundation Models

Reference 8

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metadata mismatch
arxiv_id, observed 2026-07-02T06:16:43.720777Z

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.

source=pdf_text observed=2026-06-28T07:28:16.798915Z digest=sha256:2a2dee09dbd478619b21e3dffc01070a63e3119375c948bb71698bf5935ab078

Observation f1626919-aca0-4295-8e4b-3b5d0e1c1844 · inbound

A Fair Evaluation of Graph Foundation Models for Node Property Prediction cites this paper.

A Fair Evaluation of Graph Foundation Models for Node Property Prediction On Finetuning Tabular Foundation Models

Reference 13

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verified exact
arxiv_id, observed 2026-07-04T16:09:57.539915Z

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.

source=pdf_text observed=2026-06-26T00:50:39.622302Z digest=sha256:bfb349490668b6fcc68b39390d7096676a955e73e610b8ce9e870a51c5c5d982

Observation c2487fbe-dd0e-4b51-a975-c66ae4fc3dae · inbound

Efficient Adaptive Data Acquisition via Pretrained Belief Representations cites this paper.

Efficient Adaptive Data Acquisition via Pretrained Belief Representations On Finetuning Tabular Foundation Models

Reference 55

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verified exact
arxiv_id, observed 2026-07-04T17:30:00.737658Z

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.

source=pdf_text observed=2026-06-25T23:37:10.555295Z digest=sha256:7b192c3f5e0b8a67c26433326196ab21c9d5385f108975ca2b69c1ff5179b042