Paper Citation Record · LEDGER

Enhancing Tabular Learners with Context-Aware Semantic Embeddings

As of 9 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2608.03565.

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

pith.paper-citation-record.v1
2608.03565 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:50:01.792343Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact1
verified fuzzy21
unresolved12
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5d7f656c-e21f-41f5-add2-68ee8bdba3b3 · outbound

This paper cites STRABLE: Benchmarking Tabular Machine Learning with Strings.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings STRABLE: Benchmarking Tabular Machine Learning with Strings

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-05T16:50:02.812449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 96e4ec8d-4bdc-4c4b-9e43-83a84d09ca9a · outbound

This paper cites XGBoost: A scalable tree boosting system.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings XGBoost: A scalable tree boosting system

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:50:09.428910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 90059dd2-1c94-43cd-88d6-e6e1ffe6b2b3 · outbound

This paper cites Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T16:49:57.594755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e416a9d-2626-4f87-9071-4f8df915c4d1 · outbound

This paper cites LIFT: Language-interfaced fine-tuning for non-language machine learning tasks.Advances in Neural Information Processing Systems, 35:11763–11784, 2022.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings LIFT: Language-interfaced fine-tuning for non-language machine learning tasks.Advances in Neural Information Processing Systems, 35:11763–11784, 2022

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:50:09.074757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3e9fa0a7-8a02-4d26-ba52-63a8c310c7c8 · outbound

This paper cites Set-LLM: A permutation-invariant LLM.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings Set-LLM: A permutation-invariant LLM

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:50:08.744848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a91e1fe1-3c97-413a-950e-1253e1b8ab08 · outbound

This paper cites AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T16:49:57.924925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2083868e-006e-4409-9fdb-cf2c4930020f · outbound

This paper cites Tabarena: A living benchmark for machine learning on tabular data.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings Tabarena: A living benchmark for machine learning on tabular data

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T16:49:58.006701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 422fc7ed-4725-4c62-befc-0f073257dd1c · outbound

This paper cites Large scale transfer learning for tabular data via language modeling.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings Large scale transfer learning for tabular data via language modeling

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:50:08.325354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 30202037-0333-4aaa-86df-2115e8e7b20a · outbound

This paper cites Revisiting deep learning models for tabular data.Advances in Neural Information Processing Systems, 34:18932–18943, 2021.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings Revisiting deep learning models for tabular data.Advances in Neural Information Processing Systems, 34:18932–18943, 2021

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:50:08.059591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c1156355-e3c0-4134-bc06-e9fbd96fc9ac · outbound

This paper cites TabM: Advancing tabular deep learning with parameter-efficient ensembling.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings TabM: Advancing tabular deep learning with parameter-efficient ensembling

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:50:07.749592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bf8d0586-e1c3-4f37-bf21-d967e3509cc0 · outbound

This paper cites Vectorizing string entries for data processing on tables: when are larger language models better?.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings Vectorizing string entries for data processing on tables: when are larger language models better?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T16:49:58.581101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89c9c7a9-b0a3-438d-923f-064f0116752d · outbound

This paper cites TabLLM: Few-shot classification of tabular data with large language models.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings TabLLM: Few-shot classification of tabular data with large language models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:50:07.536081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d47708a6-0d58-4a87-90b0-6d997d730180 · outbound

This paper cites Autorank: A Python package for automated ranking of classifiers.Journal of Open Source Software, 5(48):2173, 2020.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings Autorank: A Python package for automated ranking of classifiers.Journal of Open Source Software, 5(48):2173, 2020

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T16:49:58.884768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65e754fb-e547-4879-bb34-3cbc88127803 · outbound

This paper cites TabPFN: A transformer that solves small tabular classification problems in a second.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings TabPFN: A transformer that solves small tabular classification problems in a second

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T16:49:59.087247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d89c3c60-30c9-410e-93f9-5bf4e08c3c26 · outbound

This paper cites Accurate predictions on small data with a tabular foundation model.Nature, 637(8045):319–326, 2025.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings Accurate predictions on small data with a tabular foundation model.Nature, 637(8045):319–326, 2025

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T16:49:59.274808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a609b7a0-bc9b-4e9d-8126-4b2079de1407 · outbound

This paper cites Better by default: Strong pre-tuned MLPs and boosted trees on tabular data.Advances in Neural Information Processing Systems, 37:26577–26658, 2024.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings Better by default: Strong pre-tuned MLPs and boosted trees on tabular data.Advances in Neural Information Processing Systems, 37:26577–26658, 2024

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:50:07.250070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9bf048ba-e80c-4323-8d9a-ed64afb89ee7 · outbound

This paper cites LightGBM: A highly efficient gradient boosting decision tree.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings LightGBM: A highly efficient gradient boosting decision tree

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:50:06.974962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8a07d9aa-30c1-49d7-9c31-aea9fc51d8bb · outbound

This paper cites CARTE: Pretraining and transfer for tabular learning.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings CARTE: Pretraining and transfer for tabular learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:50:06.704838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6727a026-c33d-4d0b-bc22-e0eae0f75c10 · outbound

This paper cites Knowledge-rich embeddings for tabular learning.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings Knowledge-rich embeddings for tabular learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:50:06.388332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 66f24647-66bf-4fae-87ef-7289e38a7808 · outbound

This paper cites Generalization can emerge in tabular foundation models from a single table.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings Generalization can emerge in tabular foundation models from a single table

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:50:06.058135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a30ceb48-a659-407e-bc14-e7c068bc5ffd · outbound

This paper cites TabDPT: Scaling tabular foundation models.Advances in Neural Information Processing Systems, 2025.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings TabDPT: Scaling tabular foundation models.Advances in Neural Information Processing Systems, 2025

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:50:05.724065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8e22559f-8b88-4372-8464-db3180a5f4f3 · outbound

This paper cites Towards benchmarking foundation models for tabular data with text.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings Towards benchmarking foundation models for tabular data with text

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:50:05.364996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e82e9aa0-be77-4111-ab0e-1bbc54317fbc · outbound

This paper cites CatBoost: Unbiased boosting with categorical features.Advances in Neural Information Processing Systems, 31, 2018.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings CatBoost: Unbiased boosting with categorical features.Advances in Neural Information Processing Systems, 31, 2018

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T16:50:00.287631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1caaffd-4e0a-4362-8ce5-b6a41716cde2 · outbound

This paper cites TabICL: A tabular foundation model for in-context learning on large data.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings TabICL: A tabular foundation model for in-context learning on large data

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T16:50:00.554751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 307a52c4-eb74-4bcb-ac59-06d05362ccf8 · outbound

This paper cites TabICLv2: A better, faster, scalable, and open tabular foundation model.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings TabICLv2: A better, faster, scalable, and open tabular foundation model

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T16:50:00.654831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8c062a5-8d6e-448f-a9f3-e4f51b34d9b5 · outbound

This paper cites Tabgemma: Text-based tabular ICL via LLM using continued pretraining and retrieval.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings Tabgemma: Text-based tabular ICL via LLM using continued pretraining and retrieval

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:50:04.855326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8065603e-01df-4bbf-b589-89638cd0d4e1 · outbound

This paper cites ConTextTab: A semantics- aware tabular in-context learner.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings ConTextTab: A semantics- aware tabular in-context learner

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:50:04.655870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7eef319a-3207-48d9-9e69-5d911fde83d4 · outbound

This paper cites Gemma 3 Technical Report.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings Gemma 3 Technical Report

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T16:50:01.049207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a22ec690-0ba0-4000-b4f0-af6256763cc6 · outbound

This paper cites T5gemma 2: Seeing, reading, and understanding longer.arXiv preprint arXiv:2512.14856, 2025.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings T5gemma 2: Seeing, reading, and understanding longer.arXiv preprint arXiv:2512.14856, 2025

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T16:50:01.197517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39c47c3d-f035-4853-bd0c-a4754d19ba81 · outbound

This paper cites Mitra: Mixed synthetic priors for enhancing tabular foundation models.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings Mitra: Mixed synthetic priors for enhancing tabular foundation models

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:50:04.299943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f874d55e-1a82-446f-811d-eac1c760e6a6 · outbound

This paper cites XTab: Cross- table pretraining for tabular transformers.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings XTab: Cross- table pretraining for tabular transformers

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:50:03.974301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 807b1895-8667-4c09-aa79-4c5bc2e9b4ba · outbound

This paper cites At prediction time, context rows do not need to be re-encoded, avoiding redundant forward passes.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings At prediction time, context rows do not need to be re-encoded, avoiding redundant forward passes

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:50:03.641097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation aa2adf0a-fbe4-434a-a60f-ba56f904dd80 · outbound

This paper cites Age" or cell values like.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings Age" or cell values like

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:50:03.397638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ad26a392-8edb-41e1-a40d-c6d8d11c8611 · outbound

This paper cites Statistical Impact and Analysis:As shown in the Critical Difference diagram (Fig.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings Statistical Impact and Analysis:As shown in the Critical Difference diagram (Fig

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:50:03.174845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.