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Paper Citation Record · LEDGER

TAPAS: Weakly Supervised Table Parsing via Pre-training

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2004.02349.

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

pith.paper-citation-record.v1
2004.02349 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T23:56:52.544058Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:07:38.924624Z

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 f08bb972-6c6a-4a78-831a-9f3630e533ac · inbound

Unlock the Potential of Large Language Models for Predictive Tabular Tasks in Data Science with Table-Specific Pretraining cites this paper.

Unlock the Potential of Large Language Models for Predictive Tabular Tasks in Data Science with Table-Specific Pretraining TAPAS: Weakly Supervised Table Parsing via Pre-training

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-24T02:45:56.185194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T02:44:01.340415Z digest=sha256:4278817c6d8af9c124b48c185c36a5c8b72a66c011346cdb4f8bac82c9f243b8

Observation ef5000e0-dcd3-4c44-a27f-91e2571e51d7 · inbound

TableMaster: A Recipe to Advance Table Understanding with Language Models cites this paper.

TableMaster: A Recipe to Advance Table Understanding with Language Models TAPAS: Weakly Supervised Table Parsing via Pre-training

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T04:22:32.126147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T04:17:44.011435Z digest=sha256:84ad74f5c7f8e14811784826a9372a7968573ab0ebf9b179abceae99ce829ad7

Observation aea19ceb-0349-4287-93ae-2d0cc385e498 · inbound

TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning cites this paper.

TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning TAPAS: Weakly Supervised Table Parsing via Pre-training

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T23:56:52.544058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:56:52.544058Z digest=sha256:7654903943f2b3f35b67d2f7f2d5f9a59d9bd80be58e1feb3f52be60e5698330

Observation 55e09f63-b455-461c-a2ef-9ceafadaa9ff · inbound

When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables cites this paper.

When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables TAPAS: Weakly Supervised Table Parsing via Pre-training

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:40:40.907059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-21T21:38:09.388808Z digest=sha256:4fa689de8a7d3969a39f00679008fbf0f716b2db1802014d9372805ddd9bcbdf

Observation 66efb5a8-ebc2-481f-aaa2-16620257ada2 · inbound

TabEmb: Joint Semantic-Structure Embedding for Table Annotation cites this paper.

TabEmb: Joint Semantic-Structure Embedding for Table Annotation TAPAS: Weakly Supervised Table Parsing via Pre-training

Reference 61

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:41:02.389283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-10T03:18:46.913340Z digest=sha256:8c5d3ecf459533ac8af267bca5c17943effd1d0489a8796ec71ca27189ba461c

Observation f01d4394-af89-48ba-a9c6-a411bbfe8cb8 · inbound

Generalizing Numerical Reasoning in Table Data through Operation Sketches and Self-Supervised Learning cites this paper.

Generalizing Numerical Reasoning in Table Data through Operation Sketches and Self-Supervised Learning TAPAS: Weakly Supervised Table Parsing via Pre-training

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T14:26:02.722699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-09T21:53:51.983234Z digest=sha256:e2830d989718883a65f6f50f34caf4f0bdb208643c8abce906a50e4e28d7327d

Observation 0ade4af4-4c92-49ef-96d5-7576f0041043 · inbound

Structure-Aware Chunking for Tabular Data in Retrieval-Augmented Generation cites this paper.

Structure-Aware Chunking for Tabular Data in Retrieval-Augmented Generation TAPAS: Weakly Supervised Table Parsing via Pre-training

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:21:09.790331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-09T20:10:06.991430Z digest=sha256:8e9d428194473f8e9429155f444d25b68c1d51de0fb832daeb3843bc9f3c7ecd

Observation aaad4101-47ee-4b19-a16d-49d8484d761e · inbound

TabClaw: An Interactive and Self-Evolving Agent for Spreadsheet Manipulation and Table Reasoning cites this paper.

TabClaw: An Interactive and Self-Evolving Agent for Spreadsheet Manipulation and Table Reasoning TAPAS: Weakly Supervised Table Parsing via Pre-training

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:07:38.926143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T13:26:04.468972Z digest=sha256:07ec51db892f29c6689f8ff946b1bde583b12ff75fef75de5e3db0b342b1d93a