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Paper Citation Record · LEDGER

LaT: LLM-as-Trainer for Multi-Task Vehicle Routing Solvers

As of 8 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2607.17708.

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

pith.paper-citation-record.v1
2607.17708 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:18:10.990898Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved13
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e9a4681a-71f2-4563-924b-fab34d602d77 · outbound

This paper cites We evaluate intervals of250,500, and750epochs on 50-node multi-task VRPs using the same LaT-POMO-MTL backbone, training configuration, and evaluation protocol.

LaT: LLM-as-Trainer for Multi-Task Vehicle Routing Solvers We evaluate intervals of250,500, and750epochs on 50-node multi-task VRPs using the same LaT-POMO-MTL backbone, training configuration, and evaluation protocol

Reference 1

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malformed identifier
no resolver link, observed 2026-08-01T17:18:10.905490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:18:10.905490Z digest=sha256:93ab0658449ff5bf4a70827fcbd9e61c0568d192761197a54f3b4118791d9626

Observation 39d5095d-bc73-48d2-8154-90093ed32f2d · outbound

This paper cites Bridging Large Language Models and Optimization: A Unified Framework for Text-attributed Combinatorial Optimization.

LaT: LLM-as-Trainer for Multi-Task Vehicle Routing Solvers Bridging Large Language Models and Optimization: A Unified Framework for Text-attributed Combinatorial Optimization

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:18:09.501483Z digest=sha256:e31f66fa1626b047f02d25b2004ef73556aae364b81cd9849f8e91a21b56c669

Observation 6d4dfcbe-e0da-494f-be00-41dd948d1f3e · outbound

This paper cites An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem.

LaT: LLM-as-Trainer for Multi-Task Vehicle Routing Solvers An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem

Reference 5

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source=pdf_text observed=2026-08-01T17:18:09.677845Z digest=sha256:c3475fb275401af6bf0556a88d105a42ca662e9939c7e6c1ba979b559891067c

Observation 0867b3c3-20f2-44ae-9608-ea6f687cb4ee · outbound

This paper cites Multi-task learning for routing problem with cross-problem zero-shot generalization.

LaT: LLM-as-Trainer for Multi-Task Vehicle Routing Solvers Multi-task learning for routing problem with cross-problem zero-shot generalization

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:18:09.929618Z digest=sha256:603d441206c79cc21b85bd3a78931cb170856bf5a02fec6510d9c9db8336d77a

Observation 30dc808d-9656-4431-bee4-025dd39d4f47 · outbound

This paper cites an unresolved cited work.

LaT: LLM-as-Trainer for Multi-Task Vehicle Routing Solvers Unresolved cited work

Reference 11

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no resolver link, observed 2026-08-01T17:18:10.492221Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:18:10.492221Z digest=sha256:cff2edf6025286ca00dab0282f7c2f44f2e9336b560e7b197cd7a7abe97ec007

Observation e00760ae-618d-43db-896c-1f53fe810244 · outbound

This paper cites LaT retains the backbone operations described below and adds a lightweight side branch to the outputh ℓ i of each encoder layer.

LaT: LLM-as-Trainer for Multi-Task Vehicle Routing Solvers LaT retains the backbone operations described below and adds a lightweight side branch to the outputh ℓ i of each encoder layer

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:18:10.766310Z digest=sha256:5f2478780febe6a18858314cfff49ebdb8af4e56b758d83ad9de3cdb0233f794

Observation f57ad188-7d83-4299-8c36-3cd388b6a734 · outbound

This paper cites The best results are shown in bold.

LaT: LLM-as-Trainer for Multi-Task Vehicle Routing Solvers The best results are shown in bold

Reference 100

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malformed identifier
no resolver link, observed 2026-08-01T17:18:10.990898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:18:10.990898Z digest=sha256:eac30c6952d4fab2778c615a342a7877ce6732d8303e2ffd13266792954db77f

Observation 08bf70f7-c4a4-49af-8a76-91565f829149 · outbound

This paper cites On First-Order Meta-Learning Algorithms.

LaT: LLM-as-Trainer for Multi-Task Vehicle Routing Solvers On First-Order Meta-Learning Algorithms

Reference 2018

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source=pdf_text observed=2026-08-01T17:18:10.035556Z digest=sha256:baaa0644ba4c0b4219020914349af55b2625371c097f093e26b0d5159e99f2ca

Observation dba84b00-3612-42c5-aafd-2393ae889cad · outbound

This paper cites Konstantakopoulos, Sotiris P.

LaT: LLM-as-Trainer for Multi-Task Vehicle Routing Solvers Konstantakopoulos, Sotiris P

Reference 2019

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no resolver link, observed 2026-08-01T17:18:09.824448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:18:09.824448Z digest=sha256:af7a75401af16a4b0f31262c06aef62765ec9c9e88dcc88a467d3bc815f2b4c7

Observation 8bb19405-778e-4cf1-98f3-b8d410e9a99d · outbound

This paper cites Large language models as optimizers.

LaT: LLM-as-Trainer for Multi-Task Vehicle Routing Solvers Large language models as optimizers

Reference 2021

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:18:10.172654Z digest=sha256:e92d7f4469d9d5e06c0ec9f4bdd58e74145521f81abf124fe3577b6502e33a7b

Observation b7b242d8-17c6-43cd-827b-2212ecd85a43 · outbound

This paper cites Neural large neighborhood search for the capacitated vehicle routing problem.

LaT: LLM-as-Trainer for Multi-Task Vehicle Routing Solvers Neural large neighborhood search for the capacitated vehicle routing problem

Reference 2022

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:18:09.299755Z digest=sha256:ee6c975326e0abd36b006a2a4201f2cb9833cd725e558550111039f233a7de14

Observation 693175d1-7662-460d-ab8e-9dc3e5441031 · outbound

This paper cites Aligning llms with graph neural solvers for combinatorial optimization.arXiv preprint arXiv:2603.27169,.

LaT: LLM-as-Trainer for Multi-Task Vehicle Routing Solvers Aligning llms with graph neural solvers for combinatorial optimization.arXiv preprint arXiv:2603.27169,

Reference 2024

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:18:09.196142Z digest=sha256:f859becd42ceb7bf47560f62be49e30a166ab2359d67c8711adc9af679e79627

Observation 41d0f356-214f-4d41-a161-f9fc718f41e3 · outbound

This paper cites Learning to Solve Vehicle Routing Problems with Time Windows through Joint Attention.

LaT: LLM-as-Trainer for Multi-Task Vehicle Routing Solvers Learning to Solve Vehicle Routing Problems with Time Windows through Joint Attention

Reference 2025

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source=pdf_text observed=2026-08-01T17:18:09.121874Z digest=sha256:d3e2c8d4c26b9d78aee0aaefda79fd7ea917ee5b4e6fcd983ebdd170c444ee80

Observation b715863e-6b27-4f1b-937e-ec63c3a52819 · outbound

This paper cites UniCO: Towards a Unified Model for Combinatorial Optimization Problems.

LaT: LLM-as-Trainer for Multi-Task Vehicle Routing Solvers UniCO: Towards a Unified Model for Combinatorial Optimization Problems

Reference 2026

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source=pdf_text observed=2026-08-01T17:18:10.335307Z digest=sha256:3e2fd1afe9eea950d24795445e1169cc18feeacaa6ca271367c436c18fbc3f36

Observation 1a4f40f4-c994-4a3c-970a-ad3dad13af40 · outbound

This paper cites Its variation should therefore not be interpreted as a decision made by the LLM.

LaT: LLM-as-Trainer for Multi-Task Vehicle Routing Solvers Its variation should therefore not be interpreted as a decision made by the LLM

Reference 4501

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:18:10.608789Z digest=sha256:8ad5161d976f5977ac799145116a0cbf71d466041828bc0aa7be492849f46b4b

Pith citing papers

No inbound Pith citation observations are available.