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Paper Citation Record · LEDGER

Rethinking Table Instruction Tuning

As of 12 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2501.14693.

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

pith.paper-citation-record.v1
2501.14693 v4

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:59:58.663292Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:03:43.410678Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T06:03:57.334781Z

Reference resolution

60 of 60 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved56
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 96e8b386-9f57-4a52-8a1e-983b1f99b69a · outbound

This paper cites URL: " 'urlintro :=.

Rethinking Table Instruction Tuning URL: " 'urlintro :=

Reference 1

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no resolver link, observed 2026-08-10T14:59:58.367641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.367641Z digest=sha256:6157a4fd98961ca957c8ae9615deb7464d649d11250c943f2dc0a4f9b97ec1f0

Observation c0601fd9-68a0-4e57-a005-4b187fdf3ed4 · outbound

This paper cites write newline.

Rethinking Table Instruction Tuning write newline

Reference 2

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source=arxiv_source observed=2026-08-10T14:59:58.373513Z digest=sha256:9601a3d9cbeb31e973f7fa27195c38cbc8295f7f1bdb200c807b2d6214142c6b

Observation 2a6d0870-c0f9-4ee9-b2be-93dc6e8ea6b9 · outbound

This paper cites write newline.

Rethinking Table Instruction Tuning write newline

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.379297Z digest=sha256:66fb3aa137e83f7b0623f8d2953772f8acf4d93bc90f0df6af22122ebacf8c36

Observation 0c7641cf-3874-4296-9d40-80c4fac905b3 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Rethinking Table Instruction Tuning Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 4

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source=arxiv_source observed=2026-08-10T14:59:58.384647Z digest=sha256:286a39d9bd8b680d670798042e430698785fc43d48e9309b936decceda7e83f6

Observation 7f377886-1c09-4305-97b4-4885a8a9bffe · outbound

This paper cites GPT-4 Technical Report.

Rethinking Table Instruction Tuning GPT-4 Technical Report

Reference 5

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no resolver link, observed 2026-08-10T14:59:58.389703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.389703Z digest=sha256:e43c8ba4ae54285807b1c95e9b90524bc77d1f90aed07e5853c1ea48afb48e3c

Observation 57fdcb65-cf4f-4ff9-8359-d1a04c09409d · outbound

This paper cites The fact extraction and VER ification over unstructured and structured information ( FEVEROUS ) shared task.

Rethinking Table Instruction Tuning The fact extraction and VER ification over unstructured and structured information ( FEVEROUS ) shared task

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.394250Z digest=sha256:bb597db036a3e440dc30ea857cce8767c4f3ad204c948bda11b908a2e222cd19

Observation 412069e0-fe83-4035-8159-2f67e57ab74a · outbound

This paper cites Qwen Technical Report.

Rethinking Table Instruction Tuning Qwen Technical Report

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.399360Z digest=sha256:60d6e77c7b93b55149ba97256952a36d7587c4d629c91c91d63611044c2cf922

Observation 11948538-93c6-49a2-b3f7-62ce8b015ddf · outbound

This paper cites How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings.

Rethinking Table Instruction Tuning How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.404418Z digest=sha256:72b9099db836256fc8f378da863cd04e4cba3b9ead204cc9f31659a003751dcd

Observation b4bfff87-87b5-4012-a694-ae69b1a713b5 · outbound

This paper cites TabFact: A Large-scale Dataset for Table-based Fact Verification.

Rethinking Table Instruction Tuning TabFact: A Large-scale Dataset for Table-based Fact Verification

Reference 9

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source=arxiv_source observed=2026-08-10T14:59:58.409089Z digest=sha256:51950bed0ef3d131346e02a183103dfb2d5f4ca9c5890cb3e5d0b8f80f31c344

Observation f6340280-e65f-4c16-a882-70b45aae325f · outbound

This paper cites H ybrid QA : A dataset of multi-hop question answering over tabular and textual data.

Rethinking Table Instruction Tuning H ybrid QA : A dataset of multi-hop question answering over tabular and textual data

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.414151Z digest=sha256:054b312d5aa5474092727910875824997af3a7596b097ceb5aa519c428663679

Observation 74e624f1-4e5e-4b54-be5c-ae76a9b35f45 · outbound

This paper cites H i T ab: A hierarchical table dataset for question answering and natural language generation.

Rethinking Table Instruction Tuning H i T ab: A hierarchical table dataset for question answering and natural language generation

Reference 11

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source=arxiv_source observed=2026-08-10T14:59:58.419032Z digest=sha256:0c5b894bb108e3ca2651b12c8c431bb57f05e94a42c6557fee130cd4c1d4b1f3

Observation 0ceee8c1-5de8-41fc-9adb-f9fecfe478fa · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90\ See https://vicuna.

Rethinking Table Instruction Tuning Vicuna: An open-source chatbot impressing gpt-4 with 90\ See https://vicuna

Reference 12

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source=arxiv_source observed=2026-08-10T14:59:58.423985Z digest=sha256:83b557b22b48f489f0a78320947ad1de0525146d1cceca1e1bbb9afb72037cca

Observation f2ee7d09-a517-4eb9-bdc8-213e8ff52175 · outbound

This paper cites Scaling instruction-finetuned language models.

Rethinking Table Instruction Tuning Scaling instruction-finetuned language models

Reference 13

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.428689Z digest=sha256:c2b59586dd76a1a2576e658fa334c238856df7e7c7909c61434d8d6ffcfa0798

Observation d88237cd-e71f-4568-9bef-74524daf5753 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Rethinking Table Instruction Tuning Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 14

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no resolver link, observed 2026-08-10T14:59:58.433443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.433443Z digest=sha256:8fce1dadc3d0d18a387a949bcc875a710c530c43ca6e745a96059f651cd6a7e7

Observation 39d86cca-52bd-4069-a526-cd041f6e33a1 · outbound

This paper cites Tables as texts or images: Evaluating the table reasoning ability of LLM s and MLLM s.

Rethinking Table Instruction Tuning Tables as texts or images: Evaluating the table reasoning ability of LLM s and MLLM s

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-10T14:59:59.675490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T14:59:58.438203Z digest=sha256:2bfa9d3bee9e9b3ce2ffda2efb419afa63ed7bd066fd235db24d3b72d5f2945a

Observation cfa9fc99-f883-44f5-9251-c28d35937bf9 · outbound

This paper cites Qlora: Efficient finetuning of quantized llms.

Rethinking Table Instruction Tuning Qlora: Efficient finetuning of quantized llms

Reference 16

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.442816Z digest=sha256:2f0a9c0e534f8e78364cfc4e63afc46076501f0bcec5de7df06f236018c5b5c3

Observation 82bde568-04c7-4adb-8227-11cf5bd87793 · outbound

This paper cites BERT : Pre-training of deep bidirectional transformers for language understanding.

Rethinking Table Instruction Tuning BERT : Pre-training of deep bidirectional transformers for language understanding

Reference 17

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malformed identifier
no resolver link, observed 2026-08-10T14:59:58.447416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.447416Z digest=sha256:c74c6962ce98ed3a6ac27e91cb4d52f455309089a03ee3d585f9085cd1ffe31f

Observation b267509e-aa7e-447e-b71a-c507c1586e42 · outbound

This paper cites The Llama 3 Herd of Models.

Rethinking Table Instruction Tuning The Llama 3 Herd of Models

Reference 18

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.451560Z digest=sha256:6aa306773516af162504b457461dcb7367eaca119d83853db14c6fc20f0bdda7

Observation d3b92195-61c8-4822-869f-91626925cfec · outbound

This paper cites Key-Value Retrieval Networks for Task-Oriented Dialogue.

Rethinking Table Instruction Tuning Key-Value Retrieval Networks for Task-Oriented Dialogue

Reference 19

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source=arxiv_source observed=2026-08-10T14:59:58.456823Z digest=sha256:3a57c3fb40c034816abcd8359e40aaa6b4e5f8f45fa3bb0bac5fc332b362b986

Observation 4f32118a-6241-4daf-b95d-740fc17cc614 · outbound

This paper cites CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing.

Rethinking Table Instruction Tuning CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing

Reference 20

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source=arxiv_source observed=2026-08-10T14:59:58.461595Z digest=sha256:a368a67d3a77ae1cb5b1509db518db0b57e725b39f37283dd20f0fc0edf1fb6e

Observation a3e61928-7e4b-41d8-89dc-e5c3a8be2d93 · outbound

This paper cites INFOTABS : Inference on tables as semi-structured data.

Rethinking Table Instruction Tuning INFOTABS : Inference on tables as semi-structured data

Reference 21

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T14:59:58.466589Z digest=sha256:474df7714faf542d0471b54221e6ff0f19c87fb7a03d873dbaf77310fe28916a

Observation bfe465ec-c4bc-4c25-b581-0e9d156af821 · outbound

This paper cites Measuring massive multitask language understanding.

Rethinking Table Instruction Tuning Measuring massive multitask language understanding

Reference 22

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.471485Z digest=sha256:a05bd0e8e231c99bdd338a53e2590c5fcfb39097c651818d8e9b7ac67f3ae8ea

Observation 029eae3f-05c1-4987-b7ba-86af5ab6e2ac · outbound

This paper cites T a P as: Weakly supervised table parsing via pre-training.

Rethinking Table Instruction Tuning T a P as: Weakly supervised table parsing via pre-training

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.476243Z digest=sha256:baa767613bba7f16feac3d0a27dde07bb89fb017f32c0ec9dccf5f6171ad996c

Observation fde0f27f-3588-417e-af9d-84f9cedd6255 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Rethinking Table Instruction Tuning LoRA: Low-Rank Adaptation of Large Language Models

Reference 24

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.480909Z digest=sha256:919daeb9e0e19c03c67bf09abd421af5b7d9d8fe519acbe3e75a5263fff72799

Observation 65965349-b386-4502-be28-5299681c3f7d · outbound

This paper cites Mistral 7B.

Rethinking Table Instruction Tuning Mistral 7B

Reference 25

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.485430Z digest=sha256:6ba968e3bcbe10f9e5e43ff0c02e4e30b8281b15c9d752e555c7726074ac5ef1

Observation 39fadb3f-6fe1-4eef-9b4b-43ee48745a64 · outbound

This paper cites AIT-QA : Q uestion answering dataset over complex tables in the airline industry.

Rethinking Table Instruction Tuning AIT-QA : Q uestion answering dataset over complex tables in the airline industry

Reference 26

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source=arxiv_source observed=2026-08-10T14:59:58.490569Z digest=sha256:c2a946383fe2e43d83e25341e1204e1a5ad0846db25d4ddcab4beab04fd6b473

Observation 27717b3f-c4e8-4cf9-82ed-c3466f4093e7 · outbound

This paper cites Neural text generation from structured data with application to the biography domain.

Rethinking Table Instruction Tuning Neural text generation from structured data with application to the biography domain

Reference 27

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source=arxiv_source observed=2026-08-10T14:59:58.495596Z digest=sha256:7e88fbc11296016a858f4075f219ddc458ac959947780788a14638c65b22a639

Observation e3915953-0c50-4bed-8830-ef50fc4e4409 · outbound

This paper cites Table-GPT: Table-tuned GPT for Diverse Table Tasks.

Rethinking Table Instruction Tuning Table-GPT: Table-tuned GPT for Diverse Table Tasks

Reference 28

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.500992Z digest=sha256:d7849d9da40f72905abed3b7c2afe9f16d796a5cc70ac03ba4b0b596063a225e

Observation 42ee9c59-be55-4566-b23d-81de7b1835ae · outbound

This paper cites Table-to-text generation by structure-aware seq2seq learning.

Rethinking Table Instruction Tuning Table-to-text generation by structure-aware seq2seq learning

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:59:59.627694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T14:59:58.505884Z digest=sha256:679a99d4158f74564edeb59d7596f1da55929cb54535eed5c9ab55aa6826d093

Observation f85a8118-77e2-4a22-9063-bc1773eff1fb · outbound

This paper cites Dynamic prompt learning via policy gradient for semi-structured mathematical reasoning.

Rethinking Table Instruction Tuning Dynamic prompt learning via policy gradient for semi-structured mathematical reasoning

Reference 30

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no resolver link, observed 2026-08-10T14:59:58.510606Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.510606Z digest=sha256:3744477956a080bdb18ef2c996ed836f5f7b1e3fd34b5224e1b4293ad22fbafc

Observation 649fd74e-db73-4d0d-af9c-583a7a9d5b2c · outbound

This paper cites F e T a QA : Free-form table question answering.

Rethinking Table Instruction Tuning F e T a QA : Free-form table question answering

Reference 31

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no resolver link, observed 2026-08-10T14:59:58.515318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.515318Z digest=sha256:ffdbedc91c8005597c23e9723a683a99d9e303f06cd82af60a4620e8becf017c

Observation 54b97192-fe0f-40f3-a955-20d010da747c · outbound

This paper cites ToTTo : A controlled table-to-text generation dataset.

Rethinking Table Instruction Tuning ToTTo : A controlled table-to-text generation dataset

Reference 32

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no resolver link, observed 2026-08-10T14:59:58.520110Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.520110Z digest=sha256:eb6eda50a9e187f41e0a8870b921355fdd7d55285b9f488b85c8e3fde6cfb205

Observation 30ab07de-dac0-4acf-b5f1-0ab26aa39a07 · outbound

This paper cites Compositional semantic parsing on semi-structured tables.

Rethinking Table Instruction Tuning Compositional semantic parsing on semi-structured tables

Reference 33

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.524898Z digest=sha256:4e49c08aeb8df92ba631647aa0dd9c5251e8a31d09d7125cc2dc5b7568b8c35b

Observation 411c5b93-cb2e-449c-9804-0deda9d2031b · outbound

This paper cites Qwen2.5 Technical Report.

Rethinking Table Instruction Tuning Qwen2.5 Technical Report

Reference 34

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no resolver link, observed 2026-08-10T14:59:58.529635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.529635Z digest=sha256:18473c6a88bcb7d5eb5ac5732e2c0371eee447a077129b9b8e5a02dae1e40f5c

Observation 34dc890b-8f17-4612-9d69-1a9e6ef4674c · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

Rethinking Table Instruction Tuning GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 35

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no resolver link, observed 2026-08-10T14:59:58.534356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.534356Z digest=sha256:19947617cebfc6fb8082a9b9dacc2abc8c49eb92b283a7d8da7d9ee152526af3

Observation c966cd12-fa7f-4fdd-9f26-ffdb3b8e4d71 · outbound

This paper cites Assessing llms' mathematical reasoning in financial document question answering.

Rethinking Table Instruction Tuning Assessing llms' mathematical reasoning in financial document question answering

Reference 36

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no resolver link, observed 2026-08-10T14:59:58.538899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.538899Z digest=sha256:a28373f9af8cfab0dde9748cd31850af0c6037b67475e8335531533fdefa2c60

Observation af3be644-c0c9-4540-bfd3-a6aa1b03d07f · outbound

This paper cites TableGPT2: A Large Multimodal Model with Tabular Data Integration.

Rethinking Table Instruction Tuning TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 37

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no resolver link, observed 2026-08-10T14:59:58.543109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.543109Z digest=sha256:4b1b5d11bed7d0b3ae08a427e1e06ad1643ab7d5e5ed8f019aa0b5b5dd6cbb0d

Observation e256fce7-0d3b-416d-8eab-5d2d99d601c1 · outbound

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

Rethinking Table Instruction Tuning Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 38

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source=arxiv_source observed=2026-08-10T14:59:58.548023Z digest=sha256:12a3658d63b40a86655e7790908ba690398579d79c5193fb86ae2dd975be5be2

Observation 60c5a44b-e9dc-45b9-990b-6b1e2eb6e3b5 · outbound

This paper cites MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark.

Rethinking Table Instruction Tuning MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Reference 39

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no resolver link, observed 2026-08-10T14:59:58.553046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.553046Z digest=sha256:0a525914f27a71a76258cd2134701030641a8c5b8f91a5184c60f90a4fc80082

Observation 2c4fcea9-c720-4b91-94b4-3138b344da81 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Rethinking Table Instruction Tuning Chain-of-thought prompting elicits reasoning in large language models

Reference 40

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no resolver link, observed 2026-08-10T14:59:58.558135Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.558135Z digest=sha256:babdb55d2dfbf9d7669b441d9a569c10f52d8fd40dd64b6470bc5b90eadc1984

Observation 423b7eac-1f98-462e-96a4-19acc45ffdcc · outbound

This paper cites TableBench: A Comprehensive and Complex Benchmark for Table Question Answering.

Rethinking Table Instruction Tuning TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Reference 41

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unresolved
no resolver link, observed 2026-08-10T14:59:58.563072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.563072Z digest=sha256:a2dcb8f18865f7e0b20c69c87a9a9c6b98960c591838f06b0eec612ae73c605d

Observation 4387817f-a8f0-49c8-afb2-db6e9fe143c1 · outbound

This paper cites Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A.

Rethinking Table Instruction Tuning Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A

Reference 42

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no resolver link, observed 2026-08-10T14:59:58.568026Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T14:59:58.568026Z digest=sha256:1298d3649621eb1292971c134f17c94e6331df2ff8aa88b79ffb31de46cccd1d

Observation 1cc6fb3c-424f-46eb-8b51-0629fc8728ad · outbound

This paper cites Mmtu: A massive multi-task table understanding and reasoning benchmark.

Rethinking Table Instruction Tuning Mmtu: A massive multi-task table understanding and reasoning benchmark

Reference 43

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no resolver link, observed 2026-08-10T14:59:58.574159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.574159Z digest=sha256:d72816b68dd7e4eb05ee2284a607835ad1bf167f2244ee39cec0e445752f5a88

Observation d8cf8a38-e461-499a-8d59-4699d229e4a2 · outbound

This paper cites Qwen3 Technical Report.

Rethinking Table Instruction Tuning Qwen3 Technical Report

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T14:59:58.579539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.579539Z digest=sha256:2f6fd30a2a5b394640d06a87ad18ac600155da39659c7a2e586d5cefb95e83c2

Observation d2c5db91-36f3-4bfe-916c-75c418ebff3e · outbound

This paper cites T able F ormer: Robust transformer modeling for table-text encoding.

Rethinking Table Instruction Tuning T able F ormer: Robust transformer modeling for table-text encoding

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T14:59:58.585768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.585768Z digest=sha256:03f3c42ab045b532a460752c2b44aca61174ef4e9ba5c65f11af502a1b36746d

Observation 01bc38b5-44ad-4205-b69c-20442019f37a · outbound

This paper cites Table-r1: Inference-time scaling for table reasoning.

Rethinking Table Instruction Tuning Table-r1: Inference-time scaling for table reasoning

Reference 46

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unresolved
no resolver link, observed 2026-08-10T14:59:58.591622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.591622Z digest=sha256:5a231d2503fc35576f7848e3ce007c7eb03100908db557732373e435762937f5

Observation d5180eba-2f33-4e16-9743-9cb77185969d · outbound

This paper cites T a BERT : Pretraining for joint understanding of textual and tabular data.

Rethinking Table Instruction Tuning T a BERT : Pretraining for joint understanding of textual and tabular data

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T14:59:58.596540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.596540Z digest=sha256:b95eec0a8eca7fe0565e547c79cc92326b4b92d64fc86f5dd6652a1315ab84ff

Observation ea8540d0-064e-4ab6-91c3-a3967ca26649 · outbound

This paper cites TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT.

Rethinking Table Instruction Tuning TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T14:59:58.601747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.601747Z digest=sha256:f5b7c85410a937864e112f55997c7decde633e8148df620cde8c813b1934bb3b

Observation 7c70a6b9-f587-4cbf-806b-2ec792b0884b · outbound

This paper cites T able L lama: Towards open large generalist models for tables.

Rethinking Table Instruction Tuning T able L lama: Towards open large generalist models for tables

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-10T14:59:58.606794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.606794Z digest=sha256:7115d40f066f9f718fd7f11cb26180538cba888bf307b65cdf68eff2eceac68f

Observation 578a8150-7809-4646-8674-4b3a0a7e1197 · outbound

This paper cites TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios.

Rethinking Table Instruction Tuning TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-10T14:59:58.611787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.611787Z digest=sha256:fba33e03c0ceecb7ede551057135be0753d0da1ab4e624244491d47bddadc152

Observation c954a82d-bd28-4dbb-bae8-9e1c8a0b6025 · outbound

This paper cites Multimodal table understanding.

Rethinking Table Instruction Tuning Multimodal table understanding

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:59:59.578809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T14:59:58.618201Z digest=sha256:2321721a7429a6c3162152be01f34a5c3f5bedf8e53d95ef2842ee0dff77dd9d

Observation d6f0366d-7961-42b6-9b05-8c2238137d35 · outbound

This paper cites L lama F actory: Unified efficient fine-tuning of 100+ language models.

Rethinking Table Instruction Tuning L lama F actory: Unified efficient fine-tuning of 100+ language models

Reference 52

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no resolver link, observed 2026-08-10T14:59:58.623595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.623595Z digest=sha256:2a39601bdf054393cfdc4228a37fa9a07a2b4b1f09f88fefebbb149e4b737b5c

Observation a68c9f11-79b6-4cb5-a7df-8323fb0031c0 · outbound

This paper cites Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning.

Rethinking Table Instruction Tuning Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

Reference 53

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no resolver link, observed 2026-08-10T14:59:58.629136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.629136Z digest=sha256:1bf363130f6fe3a1e97be845728dbcf6cba807f8fae1761af1cf9741c95ba3fc

Observation ec1322b3-c36f-4882-980b-672a3e633931 · outbound

This paper cites Lima: Less is more for alignment.

Rethinking Table Instruction Tuning Lima: Less is more for alignment

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-10T14:59:58.634125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.634125Z digest=sha256:6ac34ba3d36572405d4bbd976a79c011bf6e926434e917a6bddf44725cf3214e

Observation 1db4ff07-2c9c-4735-8f64-faae5bb1b352 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

Rethinking Table Instruction Tuning Instruction-Following Evaluation for Large Language Models

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-10T14:59:58.638716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.638716Z digest=sha256:2abc3ed8328bcde52427fbe11a69c12def18ba5e104453611cbc693a50a59da1

Observation b7814380-3811-46d0-b8e0-6f4e00680d97 · outbound

This paper cites TAT - QA : A question answering benchmark on a hybrid of tabular and textual content in finance.

Rethinking Table Instruction Tuning TAT - QA : A question answering benchmark on a hybrid of tabular and textual content in finance

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-10T14:59:58.643660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.643660Z digest=sha256:386e13671586e84652d284bc855d0d4404bb85c48f277183c301bbd7d33ecce9

Observation 8120f81b-9326-490d-9d1a-402af4e00f12 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Rethinking Table Instruction Tuning Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-10T14:59:58.648529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.648529Z digest=sha256:fc80d9fbe92ad90664de8589a6acc7d42bb544cd8e1d4ff76104734bc411e48a

Observation 196a251f-30c2-418e-a8df-843dc7a01dea · outbound

This paper cites @esa (Ref.

Rethinking Table Instruction Tuning @esa (Ref

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-10T14:59:58.653313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.653313Z digest=sha256:88a917e519a40bd0a6d5167e9bda724ccf09b72a5f7fccabb6fb2406315ad2c2

Observation 681c4cdb-540b-4e1e-991c-28e4a72e6e95 · outbound

This paper cites an unresolved cited work.

Rethinking Table Instruction Tuning Unresolved cited work

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-10T14:59:58.658293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.658293Z digest=sha256:7e0886895d7085dd307089ee688db5d3cae2c20ad84baffa91cbbfacb6399f97

Observation 8894936b-fb43-40b6-848f-33e94f74306c · outbound

This paper cites an unresolved cited work.

Rethinking Table Instruction Tuning Unresolved cited work

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-10T14:59:58.663292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:59:58.663292Z digest=sha256:814d288adb0931d3a13b9eea2a2efbe669b2e4562f4a9c2c6ae98bfaa58d4297

Pith citing papers

Observation 6f031d59-c76c-4ae1-bae5-e6c18461f837 · inbound

Table-r1: Self-supervised and Reinforcement Learning for Program-based Table Reasoning in Small Language Models cites this paper.

Table-r1: Self-supervised and Reinforcement Learning for Program-based Table Reasoning in Small Language Models Rethinking Table Instruction Tuning

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-07T06:03:57.412504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T06:03:43.410678Z digest=sha256:b7befb0103b0cd2559c8eba1a511b3c0a560ef85bef8da6f062520308ee67751