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Paper Citation Record · LEDGER

TAPAS: Weakly Supervised Table Parsing via Pre-training

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 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 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:08:10.097761Z

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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-24T02:44:01.340415Z digest=sha256:23f7ed9da8f8f9955206769dba7e19c4fddd8caaed5540543118ef9b6611aa54

Observation e60ab3d4-7088-4d95-8dc9-fffc725779db · inbound

Improving LLM Group Fairness on Tabular Data via In-Context Learning cites this paper.

Improving LLM Group Fairness on Tabular Data via In-Context Learning TAPAS: Weakly Supervised Table Parsing via Pre-training

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T21:22:42.747641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:22:42.747641Z digest=sha256:2b4b4a4e1d4e261b7b10f49b40e923a8ae2c23e994c44043ba4e508a70511d00

Observation 136c117d-ba78-429a-9bf7-98a12d753113 · inbound

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset cites this paper.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset TAPAS: Weakly Supervised Table Parsing via Pre-training

Reference 13

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unresolved
no resolver link, observed 2026-08-11T13:46:26.095914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:46:26.095914Z digest=sha256:3d902104c520df0d16bb99cb1943c253f27513cad9937d7828d3131a612abb5a

Observation e407778d-b6f2-433f-9f3c-8125fb1f2538 · inbound

LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data cites this paper.

LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data TAPAS: Weakly Supervised Table Parsing via Pre-training

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T21:51:00.764753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:51:00.764753Z digest=sha256:841e631a1a9e2110db051d093ce80d8b6a6455aee10db7aaf3547535f2595ddf

Observation d95b6abf-c31f-4261-b922-bb3208066001 · inbound

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing cites this paper.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing TAPAS: Weakly Supervised Table Parsing via Pre-training

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T21:18:05.135257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:05.135257Z digest=sha256:ddb558362633a74a0666292cd35c84707cc7211c958ef84ae6905fa13bba650d

Observation aca4ca65-8108-4869-8441-b11e62b973de · inbound

Hybrid Graphs for Table-and-Text based Question Answering using LLMs cites this paper.

Hybrid Graphs for Table-and-Text based Question Answering using LLMs TAPAS: Weakly Supervised Table Parsing via Pre-training

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T04:36:46.463618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:36:46.463618Z digest=sha256:278f4ce755d09fd57f4bcfbbb75897eb414571794bd04e435cbec3463efb61e0

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-23T04:17:44.011435Z digest=sha256:4c82dd98f1913840c424b1cfacd1e4a77b3b6ba323ae6659479b216f076a9abf

Observation 8aac2f20-dc01-4ec9-96aa-ab7dd2ce05fa · inbound

Griffin: Towards a Graph-Centric Relational Database Foundation Model cites this paper.

Griffin: Towards a Graph-Centric Relational Database Foundation Model TAPAS: Weakly Supervised Table Parsing via Pre-training

Reference 14

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unresolved
no resolver link, observed 2026-08-15T23:08:10.097761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:08:10.097761Z digest=sha256:3b8b84181fff0bf780559c23685a420296b9d89b3231372f44008d9a99ce7b0c

Observation 772dc45b-f4de-4491-8d6a-83056bdc76a6 · inbound

Multimodal Tabular Reasoning with Privileged Structured Information cites this paper.

Multimodal Tabular Reasoning with Privileged Structured Information TAPAS: Weakly Supervised Table Parsing via Pre-training

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T10:53:59.543879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:53:59.543879Z digest=sha256:d88e7f48dbc11e2a45c0e1d8daf19b122eec72092ffb17179f26fea3c28f30f1

Observation 93588325-17a3-4ebd-bc9c-cbf826b3f713 · inbound

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation cites this paper.

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation TAPAS: Weakly Supervised Table Parsing via Pre-training

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T21:55:10.822512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:55:10.822512Z digest=sha256:781e1ad969d83701e01c75c4cf37335f0aae164dbd3c1f8f34a17251c45aeae0

Observation fadd12b9-712c-404f-9f73-edc7edfdb1b7 · inbound

OpenTable-R1: A Reinforcement Learning Augmented Tool Agent for Open-Domain Table Question Answering cites this paper.

OpenTable-R1: A Reinforcement Learning Augmented Tool Agent for Open-Domain Table Question Answering TAPAS: Weakly Supervised Table Parsing via Pre-training

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T20:48:15.166374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:48:15.166374Z digest=sha256:42b299e0b36f4cef799b09bfba80717387b76c44ce111eb055b3480a687691f0

Observation bd22e68b-ef1c-4253-8dc7-71f8126cb264 · inbound

Interactive Text-to-SQL via Expected Information Gain for Disambiguation cites this paper.

Interactive Text-to-SQL via Expected Information Gain for Disambiguation TAPAS: Weakly Supervised Table Parsing via Pre-training

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T19:17:16.816318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:17:16.816318Z digest=sha256:0f4c9db02477eebc6bb034b6dc2dff9fcc2281bf9c73c832ce2d5444fb3180b3

Observation e50e6ae5-4a8f-46f9-b5ab-8ad093aa9f63 · inbound

ExpliCIT-QA: Explainable Code-Based Image Table Question Answering cites this paper.

ExpliCIT-QA: Explainable Code-Based Image Table Question Answering TAPAS: Weakly Supervised Table Parsing via Pre-training

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T17:08:15.302837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:08:15.302837Z digest=sha256:f5128b8c69b7ff7ea57cdb433114245005bcba9df651809b36199544331f1b27

Observation 90f874fd-0797-42b5-8f4c-442d6bdef2cf · inbound

Advancing Retrieval-Augmented Generation for Structured Enterprise and Internal Data cites this paper.

Advancing Retrieval-Augmented Generation for Structured Enterprise and Internal Data TAPAS: Weakly Supervised Table Parsing via Pre-training

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T16:51:55.034701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:51:55.034701Z digest=sha256:200679e22f890b0de4feb2a7711a0b2d2a82677c1d5486d32f9f49b9616c26da

Observation d4455b02-96e5-4c6b-8e77-c50eef707bef · inbound

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs cites this paper.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs TAPAS: Weakly Supervised Table Parsing via Pre-training

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T14:12:29.491694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:12:29.491694Z digest=sha256:3a3921cb0a93fa83585edd14496802122f2ec9da390bbf73075526da00c98ef2

Observation 5a1c0381-46af-4e39-b030-143fb982827d · inbound

TEN: Table Explicitization, Neurosymbolically cites this paper.

TEN: Table Explicitization, Neurosymbolically TAPAS: Weakly Supervised Table Parsing via Pre-training

Reference 17

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unresolved
no resolver link, observed 2026-08-05T21:08:49.154956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:08:49.154956Z digest=sha256:d0f8545a39713c2bac4397b5aade13d206d78acfedb52066604976d73bdb9f80

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=sha256:5fd932fc31f0ed7d1dfa3b5f353bd23cf8ff8363d998b514e9d112cd121622d4

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-21T21:38:09.388808Z digest=sha256:67087bba53ccd9d40e119c91b4755f78b16d1d757c55184913bd3f3ef506d41a

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T03:18:46.913340Z digest=sha256:0445e23807426a4319c0f7d5e930c93f6fdf166c87e0914dab5a2e11dd17b0bc

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-09T21:53:51.983234Z digest=sha256:cbc195f4aad2ee1f1f376aa9e29b41a20671ac8a922efa36887e841a107fb0fe

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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-09T20:10:06.991430Z digest=sha256:31aadd8af298a5c6b2ae6faa382150b9e287c74eafeec7b1df3a07539a20a5d4

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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-27T13:26:04.468972Z digest=sha256:580eab65c9d3d8d48a1abf201b17874340848f78c6a7383720494a8bb2549b5b