Paper Citation Record · LEDGER

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

As of 14 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2411.16002.

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

pith.paper-citation-record.v1
2411.16002 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:42:10.916116Z

measured 20 of 20 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 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

20 of 20 outbound references displayed

verified exact0
verified fuzzy0
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 50a12739-a968-4479-b0aa-5a3dadb49b37 · outbound

This paper cites Qwen Technical Report.

Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language Models Qwen Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T13:42:10.825545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data.

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.

Observation 351e91a7-b9af-40b6-b0bd-9c232f5a70a9 · outbound

This paper cites How to think step-by-step: A mechanistic understanding of chain-of-thought reasoning.

Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language Models How to think step-by-step: A mechanistic understanding of chain-of-thought reasoning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T13:42:10.835765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3b2f3b9-87ec-4f61-9c3a-56481c7083e4 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T13:42:10.841125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8de2f4a-a94b-45ee-b45e-bb8c86faacae · outbound

This paper cites PaLM 2 Technical Report.

Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language Models PaLM 2 Technical Report

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T13:42:10.845705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 553d18ea-5071-476d-929a-6609567ae1db · outbound

This paper cites Large Language Models Can Self-Improve.

Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language Models Large Language Models Can Self-Improve

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T13:42:10.850405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a396b697-34ac-4269-87bc-b15166a6627a · outbound

This paper cites an unresolved cited work.

Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language Models Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T13:42:10.855612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ec0519a-0abc-4d32-88c6-d6d5090b431b · outbound

This paper cites TableQAKit: A Comprehensive and Practical Toolkit for Table-based Question Answering.

Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language Models TableQAKit: A Comprehensive and Practical Toolkit for Table-based Question Answering

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T13:42:10.860036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fabe808e-35e0-4e1b-a206-080c7a860c2c · outbound

This paper cites G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment.

Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language Models G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T13:42:10.864783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b477cd16-41ff-4e5a-8ff7-e620397e9039 · outbound

This paper cites GPT-4 Technical Report.

Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language Models GPT-4 Technical Report

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T13:42:10.869392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a4a4ee0-03c8-4c03-81c0-b34fc5516844 · outbound

This paper cites Compositional Semantic Parsing on Semi-Structured Tables.

Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language Models Compositional Semantic Parsing on Semi-Structured Tables

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T13:42:10.873853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eac56dc8-68e6-416d-8d62-38eaab99e637 · outbound

This paper cites an unresolved cited work.

Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language Models Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T13:42:10.879791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87bf950c-6164-4f1b-8432-7afbeda79524 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language Models Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T13:42:10.883998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecc5d42e-401b-40e4-9599-e12f65f1683d · outbound

This paper cites Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding.

Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language Models Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T13:42:10.888279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8553994c-4008-4726-839d-31de4157bb30 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language Models Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T13:42:10.892833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f38e36f-b1e9-4d08-aa7d-af0e8b1a1b15 · outbound

This paper cites Investigating Table-to-Text Generation Capabilities of LLMs in Real-World Information Seeking Scenarios.

Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language Models Investigating Table-to-Text Generation Capabilities of LLMs in Real-World Information Seeking Scenarios

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T13:42:10.897402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3452dce9-7734-4518-9cee-0583fe244300 · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language Models Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T13:42:10.901881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03f39fa5-4bc7-4d2c-9946-8ca19fb14838 · outbound

This paper cites TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance.

Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language Models TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T13:42:10.906249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8aeb60df-2214-49ee-ae2e-044f14cefe1f · outbound

This paper cites online" 'onlinestring :=.

Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language Models online" 'onlinestring :=

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T13:42:10.910972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c63defe6-79eb-47e6-befb-361c23329ad0 · outbound

This paper cites write newline.

Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language Models write newline

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T13:42:10.916116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.