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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T15:17:44.471904Z digest=sha256:665fcd9785b7b0c744462772d2aa7d5c21ef292d9a358a7b66dc19a99b1a8358

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.

source=pdf_text observed=2026-06-28T15:17:44.471904Z digest=sha256:12db0c0b857b806247dc9d1866265468d3153a468284fe28235af24bcf9ee111

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.

source=pdf_text observed=2026-06-28T15:17:44.471904Z digest=sha256:942fc99547f62b9b99b9481fc421013dcbbdf97b76dfb034c5fc2d8feee8b7be

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T15:17:44.471904Z digest=sha256:90a7d2ce395ba8598e9b44effac577f185098915be19d34dce82d61306968af4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T15:17:44.471904Z digest=sha256:60f856eee2aecb03f511f6a27419e2b033d4633a43bde3276ba582d003d13966

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.

source=pdf_text observed=2026-06-28T15:17:44.471904Z digest=sha256:35ce96b73b783f8d5d6eeb29d0689d4b56d402cf59ac9579904864892bab4353

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.

source=pdf_text observed=2026-06-28T15:17:44.471904Z digest=sha256:72d5a5a3d052fcf64d247ba8436a4dee1aed9439f6474a76adc3780bcf3db48f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T15:17:44.471904Z digest=sha256:61f2329231de4f79f202e4ba1eba277faf8846de79b0f914190a865526daaeb5

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.

source=pdf_text observed=2026-06-28T15:17:44.471904Z digest=sha256:41aea97b33edf6c5d8e5ad34edc714f09d15fc050a04221cad4ab667b4f849c7

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.

source=pdf_text observed=2026-06-28T15:17:44.471904Z digest=sha256:7bed9145d4dc56ef476d8c599dd98ee87470fc965df517b7eaba0470d09c7cad

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.

source=pdf_text observed=2026-06-28T15:17:44.471904Z digest=sha256:a9ee8f8c6b5bf979caa843c09b657aae79c5a71659eb796cbdbeaf5fffb76ddd

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.

source=pdf_text observed=2026-06-28T15:17:44.471904Z digest=sha256:c459cbad351ac60000ebfb1a2d9bf6108b6444f0c6e44056281f4f67bfade6c3

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.

source=pdf_text observed=2026-06-28T15:17:44.471904Z digest=sha256:9cf6405be58e0427ff4a58fe260b98e841aa8299383dedd30fdd84c72d3ae05f

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.

source=pdf_text observed=2026-06-28T15:17:44.471904Z digest=sha256:55f28864b22c46ff767f6d571473d94f7aa2a7e395cb5734cf1b2aa68c87b2c6

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.

source=pdf_text observed=2026-06-28T15:17:44.471904Z digest=sha256:26a96bbcd38c2f76c64acef1551dbdebe6edd51c72884ffd942a8f0f56a0a688

Pith citing papers

No inbound Pith citation observations are available.