Paper Citation Record · LEDGER

Segment-driven Structural Induction and Semantic Alignment for Heterogeneous Tabular Representation

As of 19 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2606.01890.

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

pith.paper-citation-record.v1
2606.01890 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T15:17:44.471904Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

15 of 15 outbound references displayed

verified exact3
verified fuzzy0
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b838bd6a-dde2-436c-b2bd-b0729044906c · outbound

This paper cites Layer Normalization.

Segment-driven Structural Induction and Semantic Alignment for Heterogeneous Tabular Representation Layer Normalization

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:36:17.093070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 88d4f4ff-9a4a-4b0e-b773-cebe855b1624 · outbound

This paper cites an unresolved cited work.

Segment-driven Structural Induction and Semantic Alignment for Heterogeneous Tabular Representation Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-28T15:17:44.471904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e47179e-ee8d-4608-8ed5-fb8fe35bc074 · outbound

This paper cites BERT: Pre-training of deep bidirectional transformers for lan- guage understanding.

Segment-driven Structural Induction and Semantic Alignment for Heterogeneous Tabular Representation BERT: Pre-training of deep bidirectional transformers for lan- guage understanding

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-28T15:17:44.471904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc42d362-d9ce-49c8-be16-43b6a9a4f479 · outbound

This paper cites Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey.

Segment-driven Structural Induction and Semantic Alignment for Heterogeneous Tabular Representation Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:36:17.086569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cfd87a04-b32a-4b41-b330-da324b1de3df · outbound

This paper cites TabTransformer: Tabular Data Modeling Using Contextual Embeddings.

Segment-driven Structural Induction and Semantic Alignment for Heterogeneous Tabular Representation TabTransformer: Tabular Data Modeling Using Contextual Embeddings

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:36:17.089826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1074242d-1eb0-4f70-81f0-24ae21c346f6 · outbound

This paper cites Tabbie: Pretrained representations of tabular data.

Segment-driven Structural Induction and Semantic Alignment for Heterogeneous Tabular Representation Tabbie: Pretrained representations of tabular data

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-28T15:17:44.471904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c059b4e-f44c-405a-8771-77613c30c777 · outbound

This paper cites and Yoon, S.

Segment-driven Structural Induction and Semantic Alignment for Heterogeneous Tabular Representation and Yoon, S

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T15:17:44.471904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e1b8284-c008-457c-a7d4-5680e165459b · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Segment-driven Structural Induction and Semantic Alignment for Heterogeneous Tabular Representation Representation Learning with Contrastive Predictive Coding

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:36:17.083385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6a153d52-6be8-4eb9-9c09-3af2c8a4eb94 · outbound

This paper cites The web data commons schema.org table corpora.

Segment-driven Structural Induction and Semantic Alignment for Heterogeneous Tabular Representation The web data commons schema.org table corpora

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-28T15:17:44.471904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 109b2906-3ed1-40ed-a468-0abc9c307fec · outbound

This paper cites B., and Goldstein, T.

Segment-driven Structural Induction and Semantic Alignment for Heterogeneous Tabular Representation B., and Goldstein, T

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-28T15:17:44.471904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44eea660-8adc-42f5-bedb-0e1941bac8bd · outbound

This paper cites Towards cross-table masked pretraining for web data mining.

Segment-driven Structural Induction and Semantic Alignment for Heterogeneous Tabular Representation Towards cross-table masked pretraining for web data mining

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-28T15:17:44.471904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93fbed12-541e-45d3-b5d4-7c892a8be440 · outbound

This paper cites Mixed- type tabular data synthesis with score-based diffusion in latent space.

Segment-driven Structural Induction and Semantic Alignment for Heterogeneous Tabular Representation Mixed- type tabular data synthesis with score-based diffusion in latent space

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T15:17:44.471904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db423b0c-888d-41df-888a-e9ab9ea3280d · outbound

This paper cites an unresolved cited work.

Segment-driven Structural Induction and Semantic Alignment for Heterogeneous Tabular Representation Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-28T15:17:44.471904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c0247c7-f815-4df6-98a9-c00cab3fbd62 · outbound

This paper cites These methods are effective at modeling feature interactions, handling heterogeneous feature types, and achieving strong predictive performance under task-specific supervision.

Segment-driven Structural Induction and Semantic Alignment for Heterogeneous Tabular Representation These methods are effective at modeling feature interactions, handling heterogeneous feature types, and achieving strong predictive performance under task-specific supervision

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-28T15:17:44.471904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b618405-c258-426a-8b0a-73cbb2dfec3d · outbound

This paper cites These approaches typically assume fixed and well-defined feature spaces within a table or benchmark dataset.

Segment-driven Structural Induction and Semantic Alignment for Heterogeneous Tabular Representation These approaches typically assume fixed and well-defined feature spaces within a table or benchmark dataset

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-28T15:17:44.471904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.