Paper Citation Record · LEDGER

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning

As of 4 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 2 inbound Pith citation observations for arXiv:2604.10973.

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

pith.paper-citation-record.v1
2604.10973 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T16:18:38.658857Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:30:27.185941Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

verified exact17
verified fuzzy15
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c0fc13f-e422-4fba-826f-eda9cca96523 · outbound

This paper cites A survey of table reasoning with large language models.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning A survey of table reasoning with large language models

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:59:56.513633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ce2bf6ba-b05c-4fd4-b46d-2f94b8d447e9 · outbound

This paper cites Large language models are versatile decomposers: Decomposing evidence and questions for table-based reasoning.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Large language models are versatile decomposers: Decomposing evidence and questions for table-based reasoning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:59:56.503901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 075a869e-faee-4a8e-bd31-5b0c812b9269 · outbound

This paper cites Tables as Texts or Images: Evaluating the Table Reasoning Ability of LLMs and MLLMs.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Tables as Texts or Images: Evaluating the Table Reasoning Ability of LLMs and MLLMs

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:01:00.583520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d5161e79-30c6-4f4e-a1b9-e88ec94250ff · outbound

This paper cites Findings of the association for computational linguistics: Emnlp 2024.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Findings of the association for computational linguistics: Emnlp 2024

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:59:56.506995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 77ec3b76-1c0c-4e14-a568-04d2a568ebc8 · outbound

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

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:01:00.570541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation aecdac8a-b422-40a4-9c7e-889c83f0b96f · outbound

This paper cites Tab-CoT: Zero-shot Tabular Chain of Thought.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Tab-CoT: Zero-shot Tabular Chain of Thought

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:01:00.621925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5761ef80-c5ca-4354-ad3b-67415783e4ab · outbound

This paper cites Binding Language Models in Symbolic Languages.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Binding Language Models in Symbolic Languages

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:01:00.554031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a8d70f1b-a4aa-4133-aeec-34bb67bc9821 · outbound

This paper cites Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-15T17:18:53.866178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 71c77c1a-0ae2-4689-8e6c-fa2e3c2826d3 · outbound

This paper cites arXiv preprint arXiv:2502.17521 , year =.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning arXiv preprint arXiv:2502.17521 , year =

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:01:00.588925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 632ee7ff-bd6f-4729-9564-6cdbf902e011 · outbound

This paper cites Visual instruction tuning.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Visual instruction tuning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:59:56.510548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7a46f7fe-5a4d-430e-98ca-410060efad3b · outbound

This paper cites Chart-based Reasoning: Transferring Capabilities from LLMs to VLMs.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Chart-based Reasoning: Transferring Capabilities from LLMs to VLMs

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:01:00.604607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 08696b74-bf27-4d0a-a03a-92262bea6c02 · outbound

This paper cites Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-22T03:21:57.840860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 74c25093-9fcc-4d10-89fb-48692eb1c7b9 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-11T09:01:00.523529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 948e8c19-aef2-4e7b-b9e1-d1136f70e0bf · outbound

This paper cites Instruct- blip: Towards general-purpose vision-language models with instruction tuning.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Instruct- blip: Towards general-purpose vision-language models with instruction tuning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:59:56.529461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a6772b53-7dab-4312-a7c2-a4915253a60e · outbound

This paper cites InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:48:49.136768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b6db26f5-4e10-44a8-9f40-4e7a53408732 · outbound

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

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Chain-of-thought prompting elicits reasoning in large language models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:59:56.549118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 440b138f-7890-42ae-9165-209744599751 · outbound

This paper cites FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text models.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:01:00.519407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 07c2d706-0697-40fb-b002-b9722d7973f5 · outbound

This paper cites Chain-of-thought compression should not be blind: V-skip for efficient multimodal reasoning via dual-path anchoring.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Chain-of-thought compression should not be blind: V-skip for efficient multimodal reasoning via dual-path anchoring

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:01:00.527687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bb16eedf-ac82-4353-9f1b-488899e435a5 · outbound

This paper cites Not all queries need deep thought: Coficot for adaptive coarse-to-fine stateful refinement.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Not all queries need deep thought: Coficot for adaptive coarse-to-fine stateful refinement

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:01:00.550112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8e607f7d-9929-4b7c-9710-7c9911eb66bf · outbound

This paper cites Lever: Learning to verify language- to-code generation with execution.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Lever: Learning to verify language- to-code generation with execution

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:59:56.539817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1ed44a54-32c3-4459-8361-d194f43f8a75 · outbound

This paper cites Pal: Program-aided language models.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Pal: Program-aided language models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:59:56.551836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a5e2785c-51df-45dc-923d-8d456004df74 · outbound

This paper cites Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-14T18:08:01.613687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b3c252be-0461-4e24-a5cc-5863a24b2f19 · outbound

This paper cites Igasa: Integrated geometry-aware and skip- attention modules for enhanced point cloud registration.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Igasa: Integrated geometry-aware and skip- attention modules for enhanced point cloud registration

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:59:56.522858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 79048d56-9bdb-41fa-a076-86c644992bb8 · outbound

This paper cites Align then Adapt: Rethinking Parameter-Efficient Transfer Learning in 4D Perception.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Align then Adapt: Rethinking Parameter-Efficient Transfer Learning in 4D Perception

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-11T09:01:00.542489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 239c120b-bc8e-484e-86c8-ffb63a0bb5bf · outbound

This paper cites Personalq: Select, quantize, and serve personalized diffusion models for efficient inference.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Personalq: Select, quantize, and serve personalized diffusion models for efficient inference

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:01:00.507798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f1f7c659-b6ac-42bb-ad07-8832bf281feb · outbound

This paper cites Cmhanet: A cross-modal hybrid attention network for point cloud registration.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Cmhanet: A cross-modal hybrid attention network for point cloud registration

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:59:56.544719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6a68f052-61a1-417b-9e44-840eaf3de501 · outbound

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

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Compositional Semantic Parsing on Semi-Structured Tables

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:01:00.512163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 74444f04-6ef2-4f6d-95f5-12124b8bc379 · outbound

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

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning TabFact: A Large-scale Dataset for Table-based Fact Verification

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:01:00.536492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4f014049-02ef-43ec-821f-1b472b522c4d · outbound

This paper cites GPT-4 Technical Report.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning GPT-4 Technical Report

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-11T09:01:00.613812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ffd8ac0a-d210-422d-90ce-4249ad89d494 · outbound

This paper cites Language models are few-shot learners.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Language models are few-shot learners

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:59:56.519627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a30a8ed6-c9cd-450a-b9ad-c9ecbc7e59ed · outbound

This paper cites Evaluating the Text-to-SQL Capabilities of Large Language Models.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Evaluating the Text-to-SQL Capabilities of Large Language Models

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:01:00.618123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 03dfce38-4beb-49ec-970c-1030ae25af8f · outbound

This paper cites Enhancing power grid resilience with blockchain-enabled vehicle-to-vehicle energy trading in renewable energy integration.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Enhancing power grid resilience with blockchain-enabled vehicle-to-vehicle energy trading in renewable energy integration

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:59:56.535825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fd8bafec-9144-4168-9911-cb0919257bde · outbound

This paper cites Synergy through integration of digital cognitive tests and wearable devices for mild cognitive impairment screening.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Synergy through integration of digital cognitive tests and wearable devices for mild cognitive impairment screening

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:59:56.526124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5b099dc8-c1d6-436a-97e2-253a17f172c2 · outbound

This paper cites Integrating image and gene-data with a semi-supervised attention model for prediction of kras gene mutation status in non-small cell lung cancer.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Integrating image and gene-data with a semi-supervised attention model for prediction of kras gene mutation status in non-small cell lung cancer

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:59:56.532607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 10ff8535-34c6-4f67-9d1a-5fd9b4271e89 · outbound

This paper cites Pointcot: A multi-modal benchmark for explicit 3d geometric reasoning.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Pointcot: A multi-modal benchmark for explicit 3d geometric reasoning

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:01:00.599297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a1f42b3c-afac-4216-b85b-b22a605dc7dc · outbound

This paper cites Pointrft: Explicit reinforcement fine-tuning for point cloud few-shot learning.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Pointrft: Explicit reinforcement fine-tuning for point cloud few-shot learning

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:01:00.594139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7143c01b-667c-4cba-a8d3-049c7664dca3 · outbound

This paper cites Hyperpoint: Multimodal 3d foundation model in hyperbolic space.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Hyperpoint: Multimodal 3d foundation model in hyperbolic space

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:59:56.516720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation 5b885391-ffac-4a2c-bb9f-1519e7deb6eb · inbound

SPARK: Susceptibility-Guided Profiling and Steering of Latent Reasoning States in Large Language Models cites this paper.

SPARK: Susceptibility-Guided Profiling and Steering of Latent Reasoning States in Large Language Models CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T12:50:33.254161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71436f62-523a-4f94-b8c9-41869fc84566 · inbound

Better Starts, Better Ends: Bootstrapped Iterative Self-Reasoning Distillation for Compressed Reasoning cites this paper.

Better Starts, Better Ends: Bootstrapped Iterative Self-Reasoning Distillation for Compressed Reasoning CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T22:30:27.185941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.