Pith. sign in

Paper Citation Record · LEDGER

Tabular Data: Deep Learning is Not All You Need

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2106.03253.

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

pith.paper-citation-record.v1
2106.03253 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:24:55.141515Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T14:05:46.750645Z

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 17312565-f153-4e54-99ef-cf0e001e7827 · inbound

VisTabNet: Adapting Vision Transformers for Tabular Data cites this paper.

VisTabNet: Adapting Vision Transformers for Tabular Data Tabular Data: Deep Learning is Not All You Need

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-10T23:34:13.703777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:34:13.703777Z digest=sha256:64a3b0ccdcfcd839dfecb9c9a29be5f7edc8582f8d9c9effed8d8f4bd3a1ccf7

Observation b9342740-0a1d-43f7-925b-4cf79615f84c · inbound

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction cites this paper.

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction Tabular Data: Deep Learning is Not All You Need

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T19:43:49.080953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:43:49.080953Z digest=sha256:9fee9deb23569519f30f9e464b9ccbe77e801aa4dd33a5cf47ae821f29a14f32

Observation 961845dd-ec4a-4be8-8077-0fa90032f6ac · inbound

Stellar flare detection in XMM-Newton with gradient boosted trees cites this paper.

Stellar flare detection in XMM-Newton with gradient boosted trees Tabular Data: Deep Learning is Not All You Need

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-18T12:46:24.403078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-18T12:43:01.484659Z digest=sha256:194e151a1f118890fea5003fa0a9cb3d740f13325a700c4e742feb40a759ddd5

Observation ae5ab9d1-70c4-4b59-bd39-a8ab5ae627d8 · inbound

Filtering Interlopers with Photometry and Diagnostic Features: A Machine Learning Framework Validated with CSST Slitless Spectroscopy cites this paper.

Filtering Interlopers with Photometry and Diagnostic Features: A Machine Learning Framework Validated with CSST Slitless Spectroscopy Tabular Data: Deep Learning is Not All You Need

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-21T16:14:15.214567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T16:12:23.173655Z digest=sha256:fdfd7c9508e36891e481f72e8c4829d07ff5e839ce1cb4f71e93ead802266e95

Observation 70b88972-9e63-4912-bff9-afe9e36bddae · inbound

PECKER: A Precisely Efficient Critical Knowledge Erasure Recipe For Machine Unlearning in Diffusion Models cites this paper.

PECKER: A Precisely Efficient Critical Knowledge Erasure Recipe For Machine Unlearning in Diffusion Models Tabular Data: Deep Learning is Not All You Need

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-13T09:21:37.064578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T09:21:37.064578Z digest=sha256:f4a2efc0da15f0f3ca8d2ac60ae7ea92b17933a80e3f2ca7b90cee6aa3b316e0

Observation 90c7c55e-66f5-4c9e-afa0-b963f1adaf79 · inbound

From Uniform to Learned Knots: A Study of Spline-Based Numerical Encodings for Tabular Deep Learning cites this paper.

From Uniform to Learned Knots: A Study of Spline-Based Numerical Encodings for Tabular Deep Learning Tabular Data: Deep Learning is Not All You Need

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T22:30:54.056534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T19:44:52.676095Z digest=sha256:e5aeab7033072b60b3a324d2657b3d5ebd35c60cb6020136bded8471aeb6a877

Observation 2d5dd721-d438-4406-be40-994eb9778279 · inbound

Integrating SAINT with Tree-Based Models: A Case Study in Employee Attrition Prediction cites this paper.

Integrating SAINT with Tree-Based Models: A Case Study in Employee Attrition Prediction Tabular Data: Deep Learning is Not All You Need

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:01:01.337607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T15:42:15.286694Z digest=sha256:90a6e7187661aa3cfeae5bd19f09a8d118d647fcde0eaeba02965973f3ec2226

Observation a14264b2-0b25-444b-bf3d-b89cdbe58264 · inbound

Metric-agnostic Learning-to-Rank via Boosting and Rank Approximation cites this paper.

Metric-agnostic Learning-to-Rank via Boosting and Rank Approximation Tabular Data: Deep Learning is Not All You Need

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T10:04:07.255968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T09:51:11.917972Z digest=sha256:e50e83274bb6539ea19858381d138ca2a8db5210499a7891f1d9e59f51b84524

Observation b18dd593-2362-45f8-8d7f-4aef55ccf212 · inbound

A Data-Centric Framework for Intraoperative Fluorescence Lifetime Imaging for Glioma Surgical Guidance cites this paper.

A Data-Centric Framework for Intraoperative Fluorescence Lifetime Imaging for Glioma Surgical Guidance Tabular Data: Deep Learning is Not All You Need

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T23:36:14.101089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-07T16:44:45.403876Z digest=sha256:1c0675e594f1a5991648772d2ad0440d022b4ae9c7ad954937534ebf6b684564

Observation cfed21cf-2a21-4d0b-941d-676f9e98582a · inbound

Data Language Models: A New Foundation Model Class for Tabular Data cites this paper.

Data Language Models: A New Foundation Model Class for Tabular Data Tabular Data: Deep Learning is Not All You Need

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T20:11:10.161735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T10:06:34.627253Z digest=sha256:4d0e945509b2076636fb77ee1c6e490af53ae93d8d652db63621efcf800bdf66

Observation c1f1a82c-0852-4439-b1d6-738bd38a0291 · inbound

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows cites this paper.

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows Tabular Data: Deep Learning is Not All You Need

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:57:22.507048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T05:56:36.312877Z digest=sha256:9fb49076d4f1e0bf97c64e4b958562b89a1218a944e57981670e08c0792f5b12

Observation be987c38-646f-430d-beb5-8f01d2f5f17e · inbound

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows cites this paper.

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows Tabular Data: Deep Learning is Not All You Need

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:05:46.751962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T22:18:45.189576Z digest=sha256:0d9c278a86a26cf0d3164fc44bec3585a6d93a9cccdfc4acc18d61d78ca06d28

Observation a06c0da2-e72b-4e0b-8a55-3e56f6c48711 · inbound

Tabular Numeric Stretch Transformation cites this paper.

Tabular Numeric Stretch Transformation Tabular Data: Deep Learning is Not All You Need

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T22:24:55.141515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:24:55.141515Z digest=sha256:7f015b28df2faef567bc26d2510c3045f1003a72eab595623d477af1d9e2bce7