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arxiv: 2606.23107 · v1 · pith:TH4K3QNCnew · submitted 2026-06-22 · 💻 cs.CL

A Dual-Track Framework for Template-Constrained LaTeX Conversion

Chung Cheuk Hei , Liu Li This is my paper

Pith reviewed 2026-06-26 08:37 UTC · model grok-4.3

classification 💻 cs.CL
keywords LaTeX conversionMarkdown to LaTeXtemplate constraintshybrid pipelinedocument processingstructural fidelitycompilation successdual-track framework
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The pith

A dual-track framework converts Markdown to template-compliant LaTeX by extracting constraints offline and using a hybrid LLM-rule pipeline online.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper sets out to show that separating template-specific rules into a reusable offline manifest from the actual document conversion allows more reliable results than either pure rule-based converters or full LLM generation. It argues that confining LLMs to reasoning-heavy elements such as references and complex layouts while routing deterministic tasks to rule engines reduces both missed constraints and semantic drift. This matters for anyone turning research drafts into publishable LaTeX because current methods either ignore template details or introduce hard-to-fix errors. If the separation works, conversion across varied journal and conference templates becomes more consistent and compilable. The evaluation on multiple templates and papers is presented as evidence that the approach improves fidelity and success rates over earlier baselines.

Core claim

The central claim is that the Dual-Track Framework, by extracting template constraints into an offline manifest and running a hybrid online pipeline that limits LLM use to semantic metadata, bibliographic references, and complex layouts while delegating the rest to rule-based engines, preserves structural fidelity, meets diverse layout constraints, and reaches higher compilation success rates than prior rule-only or LLM-only methods.

What carries the argument

Dual-Track Framework consisting of an offline manifest that records template constraints and an online hybrid pipeline that assigns LLM reasoning only to complex components while using deterministic rules elsewhere.

If this is right

  • Converted documents retain higher structural fidelity to the original Markdown drafts.
  • The approach satisfies layout constraints from a range of different LaTeX templates.
  • Compilation success rates increase relative to both rule-based and end-to-end LLM baselines.
  • Semantic drift is limited by restricting LLM application to reasoning-intensive sections only.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The same split between offline constraint capture and selective LLM use could apply to conversion into other structured formats such as HTML or Word templates.
  • Limiting LLM calls to specific subtasks may lower overall processing cost and error-debugging effort in automated publishing workflows.
  • Extending the manifest format to include version-specific or conditional constraints could further widen the set of supported templates.

Load-bearing premise

The assumption that an offline manifest can fully capture every template-specific constraint and that the hybrid pipeline can split tasks between LLM and rules without introducing semantic drift.

What would settle it

A set of test papers from a new template where the manifest is built from the template files yet the converted output still fails to compile or alters reference content compared with the source Markdown.

Figures

Figures reproduced from arXiv: 2606.23107 by Chung Cheuk Hei, Liu Li.

Figure 1
Figure 1. Figure 1: Overview of our Dual-Track Framework. We first analyze documents into three task re￾gions—Deterministic, Probabilistic, and Neuro-Symbolic—each requiring a distinct processing paradigm. Our framework decouples template constraints (offline track) from document processing (online track), routing each region to the most suitable engine under the guidance of a precomputed manifest. Extensive evaluations demon… view at source ↗
Figure 2
Figure 2. Figure 2: Bar Chart illustrating Cross Venue Robustness [PITH_FULL_IMAGE:figures/full_fig_p005_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Bar Chart illustrating cross venue fidelity to the LaTeX Ground Truth ( [PITH_FULL_IMAGE:figures/full_fig_p010_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: Bar Chart illustrating cross venue fidelity to the Markdown Ground Truth ( [PITH_FULL_IMAGE:figures/full_fig_p010_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Bar Chart illustrating cross_venue_cost [PITH_FULL_IMAGE:figures/full_fig_p011_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: ROUGE-L (Lin, 2004) and BERTScore F1 (Zhang et al., 2020) distribution plots for LLM baseline and our framework. quadratically and causes severe latency degradation (averaging 208.5 seconds per document). By isolat￾ing generative tasks to independent text chunks, our parallel execution layer splits dense token strings, dropping the average processing time to 40.6 sec￾onds while yielding a 24.1% reduction i… view at source ↗
Figure 7
Figure 7. Figure 7: Citation Form Accuracy and Recall distribution plots for LLM baseline and our framework. [PITH_FULL_IMAGE:figures/full_fig_p012_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: Comprehensive modular breakdowns across eight discrete metrics, aggregated over 7 publishing venues [PITH_FULL_IMAGE:figures/full_fig_p012_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: Detailed Failure mode and distribution per venue [PITH_FULL_IMAGE:figures/full_fig_p014_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: Overall failure modes distribution of all pipelines [PITH_FULL_IMAGE:figures/full_fig_p014_10.png] view at source ↗
read the original abstract

With the increasing demands for advanced document conversion, mapping structured Markdown drafts into template-compliant formats like LaTeX remains a challenge. Existing approaches largely depend on either deterministic rule-based converters or pure end-to-end Large Language Model (LLM) generation. The former fails to correctly handle asset insertions and template-specific constraints, while the latter tends to induce semantic drift, leading to hallucinations that are difficult to debug. To address these limitations, we introduce a robust Dual-Track Framework that systematically decouples template formatting from document processing: an offline track extracts template constraints into a reusable manifest, while an online track implements a hybrid execution pipeline. This pipeline confines LLM usage exclusively to reasoning-intensive components (e.g., semantic metadata, bibliographic references, and complex visual/tabular layouts) while delegating rule-based engines for deterministic processing. Empirical evaluation across 7 LaTeX templates and 56 published research papers demonstrates that our method preserves better structural fidelity, satisfies diverse layout constraints, and achieves a higher compilation success rate compared to the previous baselines.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 1 minor

Summary. The manuscript introduces a Dual-Track Framework for converting structured Markdown drafts into template-compliant LaTeX. An offline track extracts template constraints into a reusable manifest; an online track uses a hybrid pipeline that restricts LLMs to reasoning-intensive subtasks (semantic metadata, references, complex layouts) while delegating deterministic processing to rule-based engines. The central claim is that this yields better structural fidelity, constraint satisfaction, and higher compilation success than prior baselines, supported by evaluation on 7 LaTeX templates and 56 published papers.

Significance. If the empirical results and manifest-extraction claims hold, the framework offers a concrete way to combine the reliability of rule-based methods with the flexibility of LLMs for a recurring practical task in academic publishing. The explicit separation of offline constraint capture from online execution is a clear architectural contribution that could be reusable beyond the reported templates.

major comments (2)
  1. [Abstract] Abstract: the headline claim of superior performance (better structural fidelity, constraint satisfaction, higher compilation success) across 7 templates and 56 papers is asserted without any quantitative metrics, baseline descriptions, error analysis, or experimental protocol. This absence makes the central empirical result impossible to assess and is load-bearing for the paper's contribution.
  2. [Abstract] Abstract (framework description): the offline manifest is presented as capturing 'all template-specific constraints' and being 'reusable,' yet no verification, coverage metrics, or handling of implicit/cross-package interactions is described. Because the reported compilation-success gains rest on the manifest being exhaustive, the lack of evidence for this precondition directly undermines the claimed delta over baselines.
minor comments (1)
  1. [Abstract] The abstract would be clearer if it named the specific baselines and the exact success-rate or fidelity measures used in the 56-paper evaluation.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the constructive comments. We address each major comment below and will revise the abstract and related sections accordingly.

read point-by-point responses

  1. Referee: [Abstract] Abstract: the headline claim of superior performance (better structural fidelity, constraint satisfaction, higher compilation success) across 7 templates and 56 papers is asserted without any quantitative metrics, baseline descriptions, error analysis, or experimental protocol. This absence makes the central empirical result impossible to assess and is load-bearing for the paper's contribution.

    Authors: We agree that the abstract should include quantitative metrics and a brief reference to the evaluation protocol to make the claims assessable at a glance. The full manuscript details the baselines, metrics, and results in the evaluation section, but we will revise the abstract to incorporate key numbers (e.g., compilation success rates and structural fidelity improvements) from the experiments on 7 templates and 56 papers. revision: yes

  2. Referee: [Abstract] Abstract (framework description): the offline manifest is presented as capturing 'all template-specific constraints' and being 'reusable,' yet no verification, coverage metrics, or handling of implicit/cross-package interactions is described. Because the reported compilation-success gains rest on the manifest being exhaustive, the lack of evidence for this precondition directly undermines the claimed delta over baselines.

    Authors: The abstract as written refers to 'template constraints' without claiming completeness with the word 'all', but we accept the referee's concern that stronger evidence for exhaustiveness is needed to support the performance claims. We will revise the abstract to clarify the manifest's scope and add a discussion of the extraction process, verification approach, and any limitations on implicit or cross-package interactions in the methods section. revision: yes

Circularity Check

0 steps flagged

No circularity: empirical framework evaluated on external benchmarks

full rationale

The paper presents a Dual-Track Framework with an offline manifest extraction step and an online hybrid pipeline, then reports empirical results on 7 LaTeX templates and 56 published papers. No derivation chain, equations, predictions, or first-principles claims are present that could reduce to fitted inputs or self-citations by construction. The central claims are comparative performance metrics against baselines, which are externally falsifiable on the stated test set. The reader's provided score of 2.0 aligns with a minor or absent self-citation load; no load-bearing step matches any of the enumerated circularity patterns. The skeptic concern addresses an untested assumption about manifest completeness, which is a correctness or coverage issue rather than circularity.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

Abstract-only input supplies no information on free parameters, axioms, or invented entities.

pith-pipeline@v0.9.1-grok · 5704 in / 1214 out tokens · 32583 ms · 2026-06-26T08:37:58.412008+00:00 · methodology

discussion (0)

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Reference graph

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