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Paper Citation Record · LEDGER

On Finetuning Tabular Foundation Models

As of 10 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 2026-08-10T06:31:04.303077+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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:01:15.854455Z digest=sha256:02766be4dfdecfdf58ff64ccb5f3fa209f89357c4ff8debb645c83e5b9f3fca4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:01:15.968032Z digest=sha256:c3433d23853482a0a45d21d50463e295e3e0287b76c3653ab8fae8db24e785c9

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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unresolved
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:01:16.199377Z digest=sha256:da8306ef9edd26dc24ff240f1aff1c697c8a235dd0a2fe01ce9dce49a0cd4b1b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:01:16.312275Z digest=sha256:7e1756c28683a3b8123b52125ef06f532e54d18f4d7066c6d6c040c04aad71b4

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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no resolver link, observed 2026-08-07T05:01:16.355836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:16.355836Z digest=sha256:a3379875723fd3cee159ab7d24742a170e7859143fd95053ce57e274e7f2f6dd

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:a267d58f50bc7a7c0de0435d2a39b87e315f736ec6dfdc7067a17bd0389d5fb5

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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unresolved
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=sha256:248ddc4aadfde5c0fe5f20c393bcaae9af0cb9fdca85902a041ae603ad62c881

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=sha256:82012e0d7243e5cc8357caf09aa22512cab15bcf85b531bbb032131d361c475a

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:ee62cda490c52e7548deeef085825b11e73b18084c22c33698e35acf8c067fe9

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:01:16.647683Z digest=sha256:b8d445c54ac753bd056e3958583f05230e43c323991b45e04c0226467465e2d8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:01:16.738843Z digest=sha256:be971c83176606b6069b63d865fe2609f892d681b0aec77b0d0d7fc2c4a981a4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:01:16.057972Z digest=sha256:ea228347fb9e487085f3b0333cee6e64e3abc6380e8532bf0bab0e1ac8e7330e

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

Resolution
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:e184ca8270499165f74bd73a6347936cde0dbb642abda6721661fc639ce157d7

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=sha256:29feeb665321f988332fbd90c501f8ab61e82c9baed8dc051da0373bcb0a8b70

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=sha256:913d024ab90e87a9c43560068004d737d0d84efd572adb2dd5b6e592d6feb514

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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unresolved
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=sha256:868641950325e8ccb96cbb92f9cd5ad17147bbc94a4e479f8c3a2e1e787a2f01

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:d26dcfab011ac06b8ab6ab04dd3f0889ec1ab4a93f2b4606b2c0e5a593f79524

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.

source=pdf_text observed=2026-08-07T05:01:15.917513Z digest=sha256:3522b7fbfc1325df243d5341338603d19adb2c6b2f790f2f2d31b4cc81de0620

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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no resolver link, observed 2026-08-07T05:01:15.790788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:15.790788Z digest=sha256:c258bd7b652197476982eaefc708a3e0d6910d1dd7e3010a6cb4ef2378eaa663

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=sha256:124530fbbb2e80e3cb1312285e3d146baaa11a77d0c1a0f23f64db54aff1914c

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

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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=sha256:48008ff7397227bb418b848a6dadb2a4951136c6fd3f36bec2316f7c6eb45a48

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T22:05:11.146329Z digest=sha256:19d65b464931dd5e3b22da5119d13907f4488fb08098260d62fde375c9543b2a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T14:07:51.545351Z digest=sha256:4e3c4ece88285232e31610b35fb2472515836e14e04d5d4543bbcc48d3b58c70

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T01:27:56.674153Z digest=sha256:bd419cc46ff459893c50d97c723c964458b35d6515b43fe88e1cb4776ee7f240

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T07:28:16.798915Z digest=sha256:b377960beb6f646ac310040ed66c834e39470664119de9a48de26a0ec8e107d7

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T00:50:39.622302Z digest=sha256:8e5ff2bbea9ae00fa463ffb6b2f880f1a6bffc46488a24875ef6a5337a6921d2

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-25T23:37:10.555295Z digest=sha256:88ec27072601aaecbce4595bd52b008d01afdd2b562643f97db5919d75046215