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Paper Citation Record · LEDGER

TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2402.11137.

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

pith.paper-citation-record.v1
2402.11137 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:33:26.563098Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:37:37.370607Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 71fc548f-8c50-471b-a41c-9e681d0d0f6a · inbound

Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data cites this paper.

Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T19:33:26.563098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:33:26.563098Z digest=sha256:642b531eb287e4d6adeb1877c667de722d8be685ec4ba6ba1bd2c060c142df64

Observation d91df94b-8340-4a60-a316-e0fa44967627 · inbound

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations cites this paper.

Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T19:57:55.135902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:57:55.135902Z digest=sha256:ee8454b03866fe57f287636bcdae9c99c8b2c066d732a42e5ad9f8e3305f38dd

Observation 676f9b6d-322f-4a26-842e-d52fe82ee413 · inbound

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems cites this paper.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-09T11:56:24.792326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:56:24.792326Z digest=sha256:ce411cf3dd1d2ed8fac1d127d6d7917cb820ba7f2f97a400122855c7a6eb88b4

Observation a08b5252-128b-48b5-9eb7-99b5c37fdfa4 · inbound

TabICL: A Tabular Foundation Model for In-Context Learning on Large Data cites this paper.

TabICL: A Tabular Foundation Model for In-Context Learning on Large Data TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks

Reference 151

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:35:02.314505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-20T13:35:02.018244Z digest=sha256:ddb8396294a700981edcbd432ddb0dbfd5f13331a83727296998971502d3f960

Observation 7cc20e83-7ade-40a9-ae58-01cf800dbc2d · inbound

Table Foundation Models: on knowledge pre-training for tabular learning cites this paper.

Table Foundation Models: on knowledge pre-training for tabular learning TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T15:38:36.978304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:38:36.978304Z digest=sha256:cdd420a8107e949aabcce8788c45355df3584911df746d3848a09fccebc88fb4

Observation 068dbb8d-12ae-4626-bc6c-4a3d8e04a9be · inbound

Position: The Future of Bayesian Prediction Is Prior-Fitted cites this paper.

Position: The Future of Bayesian Prediction Is Prior-Fitted TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T12:40:36.538524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:40:36.538524Z digest=sha256:1f3f13946f87fb07325c1956279e75a595368dfe401370a0011b88f70cc0e16d

Observation 481dbd0d-7620-47ff-b17d-08a0e1e323ba · inbound

TabFlex: Scaling Tabular Learning to Millions with Linear Attention cites this paper.

TabFlex: Scaling Tabular Learning to Millions with Linear Attention TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T10:23:06.215110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:23:06.215110Z digest=sha256:a97d9e8c74ba905b22213b3735f9ae8f9d8432554e003dbbfc234874f07f81ba

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

On Finetuning Tabular Foundation Models cites this paper.

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

Reference 2023

Resolution
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:d8865e9cd24001209a6be38aa66d96ac31a15a23451dd68a53c46177570f5e5f

Observation 3061f41b-b651-49aa-b7e1-65868a09a723 · inbound

Testing for Single-Population Ancestry in the Admixture Model cites this paper.

Testing for Single-Population Ancestry in the Admixture Model TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-02T00:16:25.084190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-28T13:28:11.189810Z digest=sha256:7dc48322d53b3da4628bc9892bcb1836d1710a6d69f69b77e0a6ebfb6b21c291

Observation 37553006-a97a-4e03-af89-c0255f3bbfa7 · inbound

CRUMB: Efficient Prior Fitted Network Inference via Distributionally Matched Context Batching cites this paper.

CRUMB: Efficient Prior Fitted Network Inference via Distributionally Matched Context Batching TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T04:37:37.372253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T13:45:07.339338Z digest=sha256:aed87abc9adeabdf75838b480c2e871468f787506cb173b27315622f4b74c943