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Paper Citation Record · LEDGER

Mixture of In-Context Prompters for Tabular PFNs

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.16156.

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

pith.paper-citation-record.v1
2405.16156 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:15:34.066298Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:37:37.396581Z

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 4cc348a4-13af-4b91-b652-3bdfe65607d6 · inbound

Does Few-Shot Learning Help LLM Performance in Code Synthesis? cites this paper.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Mixture of In-Context Prompters for Tabular PFNs

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-11T23:05:38.391492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:05:38.391492Z digest=sha256:3731b182654e6cd92daac8b83153021bf36dbf6734ae543d2263c2e045f6451d

Observation e053d0ec-fd73-4837-bfb8-561523b6a8fe · inbound

Representation Learning for Tabular Data: A Comprehensive Survey cites this paper.

Representation Learning for Tabular Data: A Comprehensive Survey Mixture of In-Context Prompters for Tabular PFNs

Reference 290

Resolution
unresolved
no resolver link, observed 2026-08-16T12:15:34.066298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:15:34.066298Z digest=sha256:338b24703cd21ca2fc0b758c3142b91128609b8069cfe7a7dc8ae119d15cf82d

Observation 723c7470-7d98-4e88-ae80-d700bf171856 · inbound

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

Position: The Future of Bayesian Prediction Is Prior-Fitted Mixture of In-Context Prompters for Tabular PFNs

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-07T12:40:43.077633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:40:43.077633Z digest=sha256:ea7284c83ead5d76f639917d89c9ad09e6d1fd686cc1eb0cbba692c1d6e91fd2

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

On Finetuning Tabular Foundation Models cites this paper.

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

Reference 16

Resolution
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=sha256:3aae88b56797f67468f87fc0c309f1c339ff98c42c90f046b1af291f489c8dd1

Observation 211fddfd-1511-402a-a78f-69410c3c4724 · inbound

Iceberg: Enhancing HLS Modeling with Synthetic Data cites this paper.

Iceberg: Enhancing HLS Modeling with Synthetic Data Mixture of In-Context Prompters for Tabular PFNs

Reference 43

Resolution
malformed identifier
no resolver link, observed 2026-08-06T17:51:02.782237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:51:02.782237Z digest=sha256:00d7ea32fcf5608b24c22bee84f688d05997d823c1342a77a366fdc8b948a99f

Observation 79c3345e-0d8e-43a9-b7e8-9dacc5982f6a · 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 Mixture of In-Context Prompters for Tabular PFNs

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-03T04:37:37.398114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-27T13:45:07.339338Z digest=sha256:2c3e8fa828119ba4dfc4477a85c7fa0958227006a99daa61e3c09c1562e97e0c