Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-21T21:38:09.388808Z
Paper Citation Record · LEDGER
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables
As of 6 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 2 inbound Pith citation observations for arXiv:2509.17680.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-29T07:47:37.088510Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-06-29T07:53:13.781101Z
Reference resolution
41 of 41 outbound references displayed
- verified exact18
- verified fuzzy2
- unresolved21
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5a510ec1-15b6-4e14-a3f1-54515b32d5a5 · outbound
This paper cites an unresolved cited work.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T21:40:41.812455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 34998061-2d6f-4b74-b718-eb0abbd29c2e · outbound
This paper cites an unresolved cited work.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T21:40:41.814513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2b1e78a0-6668-4c0f-952a-2218297aafc4 · outbound
This paper cites an unresolved cited work.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T21:40:41.818834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 48a86980-b89d-4adf-bb2a-0a461d77ffc0 · outbound
This paper cites an unresolved cited work.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T21:40:41.816684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0ad6da44-3f20-43ac-bcea-852e5e1766ef · outbound
This paper cites Binding Language Models in Symbolic Languages.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables Binding Language Models in Symbolic Languages
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T21:40:40.899337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6788ed93-192c-4550-aa7a-dc752f77d6f0 · outbound
This paper cites an unresolved cited work.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T21:40:41.805683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3321b823-1367-4c9c-81d8-576841ffad78 · outbound
This paper cites The Llama 3 Herd of Models.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables The Llama 3 Herd of Models
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T21:40:40.877800Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 93224b37-7628-4443-b188-d235e7ab92f6 · outbound
This paper cites PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T21:40:40.891295Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 55e09f63-b455-461c-a2ef-9ceafadaa9ff · outbound
This paper cites TAPAS: Weakly Supervised Table Parsing via Pre-training.
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 2026-08-06T06:34:29.942622+00:00.
Observation 310581c5-0dc7-443f-8eed-a4e3b98c30ca · outbound
This paper cites an unresolved cited work.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables Unresolved cited work
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T21:40:40.865921Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f31c90eb-806e-4f58-bdb3-f16d2ec7c8e4 · outbound
This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T21:40:40.882814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b6d2f2e7-6583-4b9f-9d9b-d50535347a63 · outbound
This paper cites an unresolved cited work.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T21:40:41.801709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0e8c6f95-2b6d-48c3-9135-993d2ebfc62b · outbound
This paper cites an unresolved cited work.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T21:40:41.803697Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c10ea1b3-72f8-4260-bcb3-4af4ecd88852 · outbound
This paper cites TAPEX: Table Pre-training via Learning a Neural SQL Executor.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables TAPEX: Table Pre-training via Learning a Neural SQL Executor
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T21:40:40.872469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 827ad7fc-c306-4853-b88f-e5059f181fc4 · outbound
This paper cites PoTable: Towards Systematic Thinking via Plan-then-Execute Stage Reasoning on Tables.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables PoTable: Towards Systematic Thinking via Plan-then-Execute Stage Reasoning on Tables
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T21:40:40.887410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 84392601-5733-4aef-80c3-a16568ac58b5 · outbound
This paper cites an unresolved cited work.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T21:40:41.807862Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8c3ad802-a157-42bd-acbe-33e9e5b6e3f7 · outbound
This paper cites an unresolved cited work.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T21:40:41.794818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 023b291f-5b3f-4366-aa8e-aeb48b204bff · outbound
This paper cites an unresolved cited work.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T21:40:41.797107Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5458f479-2ff9-46f1-aa67-c9984903fcbd · outbound
This paper cites GPT-4 Technical Report.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables GPT-4 Technical Report
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T21:40:40.839365Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 16e6460f-126d-48c8-a919-34399d8f4086 · outbound
This paper cites an unresolved cited work.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T21:40:41.799572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6f9d72d5-1be4-41a3-b40a-9578ffd642c3 · outbound
This paper cites Compositional Semantic Parsing on Semi-Structured Tables.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables Compositional Semantic Parsing on Semi-Structured Tables
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T21:40:40.849616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 350ddaea-9df0-415d-ac64-2d2f5e385a64 · outbound
This paper cites CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T21:40:40.834745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 248ff1fe-02ec-4179-b5be-fcb89aa3e1f3 · outbound
This paper cites Evaluating the Text-to-SQL Capabilities of Large Language Models.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables Evaluating the Text-to-SQL Capabilities of Large Language Models
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T21:40:40.854998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 813e6290-7442-4318-8359-280fde08e18f · outbound
This paper cites an unresolved cited work.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T21:40:41.792222Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation dc049a27-0b0e-4392-83bb-d76777f4ab18 · outbound
This paper cites Gemma: Open Models Based on Gemini Research and Technology.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables Gemma: Open Models Based on Gemini Research and Technology
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T21:40:40.844152Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 353775e0-bb40-4834-8247-c6cc77681f4e · outbound
This paper cites an unresolved cited work.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T21:40:41.810124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 22c02c0f-1a30-4fd4-b2ea-19138d53eafc · outbound
This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables Self-Consistency Improves Chain of Thought Reasoning in Language Models
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T21:40:40.860182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 82734f09-8355-498b-98c5-1c4d0a2e3b22 · outbound
This paper cites Towards Question Answering over Large Semi-structured Tables.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables Towards Question Answering over Large Semi-structured Tables
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T21:40:40.902932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8529e2bb-8668-4070-8bfc-febc559da128 · outbound
This paper cites an unresolved cited work.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables Unresolved cited work
Reference 29
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T21:40:41.838614Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4e578b52-947e-4873-83de-befcf3fb31f2 · outbound
This paper cites an unresolved cited work.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T21:40:41.841055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a816e7f7-4e95-43da-bd60-c007480f31f3 · outbound
This paper cites an unresolved cited work.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T21:40:41.836401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0c4ef8c2-af93-49c5-9fa9-50ef8cb18f38 · outbound
This paper cites an unresolved cited work.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables Unresolved cited work
Reference 32
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T21:40:41.831742Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0d512454-af83-447b-a65a-2d89c1e59c16 · outbound
This paper cites TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T21:40:40.911892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8c3efe21-8337-4ef1-950f-106b6756bd74 · outbound
This paper cites Table-Critic: A Multi-Agent Framework for Collaborative Criticism and Refinement in Table Reasoning.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables Table-Critic: A Multi-Agent Framework for Collaborative Criticism and Refinement in Table Reasoning
Reference 34
- Resolution
- verified exact
- doi, observed 2026-05-21T21:40:40.298118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 87ff537b-3350-4d27-a448-d516d7ab4000 · outbound
This paper cites an unresolved cited work.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables Unresolved cited work
Reference 35
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T21:40:41.833941Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 98f427e4-b3f0-476b-a802-89c50cf1740f · outbound
This paper cites an unresolved cited work.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T21:40:41.829438Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 40176e4b-1044-4465-822a-d8be447166d1 · outbound
This paper cites ReAcTable: Enhancing ReAct for Table Question Answering.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables ReAcTable: Enhancing ReAct for Table Question Answering
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T21:40:40.895492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a9222f2c-b369-4216-8954-05abb90f836e · outbound
This paper cites an unresolved cited work.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T21:40:41.843167Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 555792d0-a1a3-4918-a026-d6944868d24b · outbound
This paper cites an unresolved cited work.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T21:40:41.820833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 40dcf654-8cc6-4af2-8b05-61f65f017f0c · outbound
This paper cites URL: " 'urlintro :=.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables URL: " 'urlintro :=
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:40:41.823121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 620e73dd-d585-452a-b60a-1216d24ee48b · outbound
This paper cites write newline.
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables write newline
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T21:40:41.826954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Pith citing papers
Observation 4197b1b6-a6bf-4231-bc84-4e7e8ecb19f5 · inbound
One Refiner to Unlock Them All: Inference-Time Reasoning Elicitation via Reinforcement Query Refinement cites this paper.
One Refiner to Unlock Them All: Inference-Time Reasoning Elicitation via Reinforcement Query Refinement When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T00:05:33.570929Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c4421c82-ee3a-45dc-badc-11bfe0516957 · inbound
Rethinking Stepwise Model Routing: A Cost-Efficient Table Reasoning Perspective cites this paper.
Rethinking Stepwise Model Routing: A Cost-Efficient Table Reasoning Perspective When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-29T07:53:13.782555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.