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Paper Citation Record · LEDGER

HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2004.07347.

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

pith.paper-citation-record.v1
2004.07347 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:07:48.543702Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T07:39:58.382820Z

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 8b5b711c-46c3-41b4-946f-a7fd4c879c23 · inbound

Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps cites this paper.

Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-18T07:39:58.388251Z

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.

source=pdf_text observed=2026-05-18T07:39:58.366423Z digest=sha256:2b1bcb69f205ec5c71c99822d2869788e58e65290e42596cdffe8ad2c802ba17

Observation a6ca1041-7f71-40de-baab-d1d71e401910 · inbound

Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language Models cites this paper.

Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language Models HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T13:42:10.830972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:42:10.830972Z digest=sha256:92608662110aff9dd58e35ca099d4f291ae9c3241e640572af23f18625f64721

Observation c65cfef1-97e8-4c20-84f8-afc1e646f920 · inbound

TQA-Bench: Evaluating LLMs for Multi-Table Question Answering cites this paper.

TQA-Bench: Evaluating LLMs for Multi-Table Question Answering HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T10:09:45.153585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:09:45.153585Z digest=sha256:ad9e9c167a019d8dcfbe6199c02e870b17c2c0aea207db3810e25317662277f9

Observation f35a8280-5f57-40c7-be88-2dc5ef7ac549 · inbound

ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding cites this paper.

ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T21:17:02.970923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:17:02.970923Z digest=sha256:ef4588e6a9037c60215dd53cbbc61e59c1f22dd89d9c76e3c00c0aee32383294

Observation 3354b215-d396-4936-8bfd-2cfab2749a7e · inbound

Adaptive Graph of Thoughts: Test-Time Adaptive Reasoning Unifying Chain, Tree, and Graph Structures cites this paper.

Adaptive Graph of Thoughts: Test-Time Adaptive Reasoning Unifying Chain, Tree, and Graph Structures HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T20:25:49.396668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T20:25:49.396668Z digest=sha256:806a1c094b4088853de7e63697aa02bc2c1d72c606d3e55dfe5c0ecf79059e39

Observation dc275dae-24b2-4637-8bd2-83c47b9fc53d · inbound

GeoGrid-Bench: Can Foundation Models Understand Multimodal Gridded Geo-Spatial Data? cites this paper.

GeoGrid-Bench: Can Foundation Models Understand Multimodal Gridded Geo-Spatial Data? HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-15T21:07:48.543702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:07:48.543702Z digest=sha256:109c8820449ed958420c97257831e14801ba27bcadc99cceb7b059861c0351b7

Observation f76dcc90-76e7-4bf0-9de3-5bfc4bf1af09 · inbound

SciCUEval: A Comprehensive Dataset for Evaluating Scientific Context Understanding in Large Language Models cites this paper.

SciCUEval: A Comprehensive Dataset for Evaluating Scientific Context Understanding in Large Language Models HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T15:28:51.925610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:28:51.925610Z digest=sha256:448f77ec89ec517171179394213e409af03ee61adabfd2436201c7bbfc82a6a7

Observation d905b9bb-4acb-43b4-a2fb-01f02ec30f91 · inbound

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation cites this paper.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T04:30:49.510903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:30:49.510903Z digest=sha256:21ce54340ca5fd9875fb1077537171544eef44810f733e055ba565e38b6d1994

Observation cd878406-4d10-47a5-bd98-93af71f258cf · inbound

Explicit v.s. Implicit Memory: Exploring Multi-hop Complex Reasoning Over Personalized Information cites this paper.

Explicit v.s. Implicit Memory: Exploring Multi-hop Complex Reasoning Over Personalized Information HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T17:23:27.926129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:23:27.926129Z digest=sha256:4489d7b80a32fc87ef1bdb228d3ae5b793dff9e5b08d7d978f2e5a50c5f60ebf

Observation 4bba2275-781a-478c-a45c-466bf819d57c · inbound

RELOOP: Recursive Retrieval with Multi-Hop Reasoner and Planners for Heterogeneous QA cites this paper.

RELOOP: Recursive Retrieval with Multi-Hop Reasoner and Planners for Heterogeneous QA HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T04:55:54.012077Z

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.

source=pdf_text observed=2026-05-18T04:55:03.309430Z digest=sha256:3a9e66810214a2bc12bfd7bd825d18c53e62b0353974d7a786fb192ab7c7c20e

Observation fb8b92a7-6245-442c-91a7-4993ded9b9e2 · 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 HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:26:02.769843Z

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.

source=arxiv_source observed=2026-05-09T21:53:51.983234Z digest=sha256:c42c859022b1cdab16759a1b267e621beb4417e2f16780292b585195949cca38