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Paper Citation Record · LEDGER

Retrieval & Fine-Tuning for In-Context Tabular Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.05207.

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

pith.paper-citation-record.v1
2406.05207 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:01:16.422966Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:37:37.361744Z

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 45d5a59e-d1ec-4d1c-90f0-38809e222c62 · inbound

On Finetuning Tabular Foundation Models cites this paper.

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

Reference 15

Resolution
unresolved
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 825bdc03-feed-4e2a-8d7f-43c44770d5a8 · 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 Retrieval & Fine-Tuning for In-Context Tabular Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-03T04:37:37.363449Z

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=2026-06-27T13:45:07.339338Z digest=sha256:19e1c3bc14a41a9e32189144b28209995919a3f9c4ff5182a55f9a18643dc1dd