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Paper Citation Record · LEDGER

Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm

As of 10 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2509.24256.

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

pith.paper-citation-record.v1
2509.24256 v2

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T14:42:34.413134Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T19:30:33.775696Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T19:30:34.593712Z

Reference resolution

20 of 20 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 669585f3-33da-4136-92f3-836204d1ecd4 · outbound

This paper cites Language Models are Few-Shot Learners.

Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm Language Models are Few-Shot Learners

Reference 1

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unresolved
no resolver link, observed 2026-08-04T14:42:32.497484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:32.497484Z digest=sha256:75f4f579602f2b7f9fc0ec78118a0a10f5fe65c46dd503bbc9a17536dbb8ff08

Observation 798a2016-b73b-46d4-a0a7-841e905f431d · outbound

This paper cites Large Language Models as Optimizers.

Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm Large Language Models as Optimizers

Reference 7

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no resolver link, observed 2026-08-04T14:42:33.016114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:33.016114Z digest=sha256:9b3cd5978ce397ca5b70bcd9cc5b77105789d7fd8bd8015303928a7dced4a878

Observation e4457ade-87d3-4e38-a376-61c025482c54 · outbound

This paper cites Inductive Representation Learning on Large Graphs.

Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm Inductive Representation Learning on Large Graphs

Reference 14

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no resolver link, observed 2026-08-04T14:42:33.702140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:33.702140Z digest=sha256:bc450079a1b54694c7a6996ee05c187b692fab8430ce5b9379c29c27fca7bae8

Observation edc57c24-3e92-44bd-96b9-8ab14dac7f60 · outbound

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

Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem

Reference 15

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no resolver link, observed 2026-08-04T14:42:33.802192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:33.802192Z digest=sha256:4e2719f0d3a904d62a5a317dd3269715a634bc1a543e840ee49901c51fb92cfd

Observation 286fcf6b-7950-4d27-b023-e481513b5c8b · outbound

This paper cites Learning Combinatorial Optimization Algorithms over Graphs.

Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm Learning Combinatorial Optimization Algorithms over Graphs

Reference 16

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no resolver link, observed 2026-08-04T14:42:33.931549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:33.931549Z digest=sha256:e2e9221071a917b300e7dcf693860521ebf978d437f0a5587d1dd8a1a3398130

Observation fb698b0a-cccf-45f5-ade5-2bdf5e810787 · outbound

This paper cites One for All: Towards Training One Graph Model for All Classification Tasks.

Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm One for All: Towards Training One Graph Model for All Classification Tasks

Reference 17

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unresolved
no resolver link, observed 2026-08-04T14:42:34.054032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:34.054032Z digest=sha256:8947040cf7f1d93fbe7293ae4faa2c31a2e35277bf77044f4f7f95480db0be34

Observation ff94050a-050f-4b7c-a154-3c81d9694e1c · outbound

This paper cites This was extended by Kwon et al.

Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm This was extended by Kwon et al

Reference 18

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no resolver link, observed 2026-08-04T14:42:34.179712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:34.179712Z digest=sha256:47b54988b8cb10e13f724da03dee1aaef67c51c03d07375093c8c223dd9dca44

Observation 193c450c-4de0-4ca5-b72c-564a58e9c5f3 · outbound

This paper cites an unresolved cited work.

Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm Unresolved cited work

Reference 20

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no resolver link, observed 2026-08-04T14:42:34.413134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:34.413134Z digest=sha256:e77e63ddb7267b056a51b9207ec16e6fad85682d0b912dfcc0df68f6b76b8131

Observation cdcf5ade-62a1-48bf-ae76-4f1b02e43bab · outbound

This paper cites Pointer Networks.

Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm Pointer Networks

Reference 1981

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no resolver link, observed 2026-08-04T14:42:32.622046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:32.622046Z digest=sha256:2b6e51b04ac53c420bdb37e6e6bd92acafd11e2dbe4699fe6d9a9f99f1d14d0d

Observation c5f1813b-f17b-4b93-8955-0c1be04290be · outbound

This paper cites The Transformer Network for the Traveling Salesman Problem.

Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm The Transformer Network for the Traveling Salesman Problem

Reference 1985

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unresolved
no resolver link, observed 2026-08-04T14:42:33.129948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:33.129948Z digest=sha256:38e388cbaa9e0fdeb747800cb4edebd42efb3b38db7244860789bf43fe5abdf7

Observation a0921515-a5fc-4095-b4b2-87a8ba22487a · outbound

This paper cites Neural Combinatorial Optimization with Reinforcement Learning.

Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm Neural Combinatorial Optimization with Reinforcement Learning

Reference 2015

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no resolver link, observed 2026-08-04T14:42:32.710982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:32.710982Z digest=sha256:57d661ef4b9ae40caee12bd84a812b7214a17a19f8f762360413031999324d78

Observation 7ab23e50-141a-498a-9084-592e379ad8bf · outbound

This paper cites Graph Attention Networks.

Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm Graph Attention Networks

Reference 2016

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no resolver link, observed 2026-08-04T14:42:33.590202Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:33.590202Z digest=sha256:af27b7f2ba2fb4b05ee795b6b692d74d027b96a0bebb296aba6b2903a78e15da

Observation 3508f82f-a2d6-4736-ab12-5b7a4dc2389e · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm Semi-Supervised Classification with Graph Convolutional Networks

Reference 2017

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unresolved
no resolver link, observed 2026-08-04T14:42:33.512595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:33.512595Z digest=sha256:3518695d84dd2b2bbdbb309241236dfb44de212c9ece0e3daf3dff3fbe2e226c

Observation 12809fda-a74d-44d7-920a-7a48c6ad1604 · outbound

This paper cites POMO: Policy Optimization with Multiple Optima for Reinforcement Learning.

Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm POMO: Policy Optimization with Multiple Optima for Reinforcement Learning

Reference 2018

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unresolved
no resolver link, observed 2026-08-04T14:42:32.826151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:32.826151Z digest=sha256:1d851c0cb50881bbde4eca687222d8d288efcbbc13af2673b44cea4764ebfc0d

Observation 27ddc812-7500-4e23-8f4d-793b400b7e6a · outbound

This paper cites Transformer-Based ApproachesFollowing the transformer revolution Vaswani et al.

Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm Transformer-Based ApproachesFollowing the transformer revolution Vaswani et al

Reference 2019

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no resolver link, observed 2026-08-04T14:42:34.296614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:34.296614Z digest=sha256:b6fb1761ddaf690696e0ed3cf7de9242a3f74f01f290a745a2ca9dee7c793d2f

Observation 3dbdfafe-0127-4fcf-8ab9-6bd36afbd6ba · outbound

This paper cites DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization.

Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization

Reference 2020

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no resolver link, observed 2026-08-04T14:42:32.905930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:32.905930Z digest=sha256:0f7bb63df7f94571263210baf4b120abb929dd548155d194a4966c360e33729e

Observation dcac3724-5fab-4b70-bac3-2313ca412f66 · outbound

This paper cites Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization.

Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization

Reference 2021

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unresolved
no resolver link, observed 2026-08-04T14:42:33.184308Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:33.184308Z digest=sha256:046ad649014f09a7910f25d41f830bd022bdf68b3e2d854efa42053b1704f5dd

Observation 374f9447-9866-4785-9c80-ecdfd0de29d1 · outbound

This paper cites Qwen3 Technical Report.

Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm Qwen3 Technical Report

Reference 2023

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no resolver link, observed 2026-08-04T14:42:32.544805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:32.544805Z digest=sha256:b2668a94fc13554fc83e9ef6a5ef650db511f55efa6b9c057c24a1eff777a448

Observation 5a6f1503-42fb-4850-9703-03ce38bd09d4 · outbound

This paper cites ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution.

Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution

Reference 2024

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no resolver link, observed 2026-08-04T14:42:33.401802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:33.401802Z digest=sha256:4eadb4f7b35669739a5f6634fa05cb4b226b8aac21fd1fd61f5003fd283cbcf0

Observation d73fe639-41fe-4c9f-834a-92895530fc7a · outbound

This paper cites Mohammed Elhenawy, Ahmad Abutahoun, Taqwa I.

Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm Mohammed Elhenawy, Ahmad Abutahoun, Taqwa I

Reference 2025

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no resolver link, observed 2026-08-04T14:42:33.293023Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:42:33.293023Z digest=sha256:ce11fe8de92cb4afddb2b6e47c666b4c6b73d2cabcab406a7ee482490ae5c76c

Pith citing papers

Observation e70cab21-ace1-4b91-8c55-84f10cbe69aa · inbound

Enactive Artificial Intelligence: A Decision-Centric Architecture for Complex Systems cites this paper.

Enactive Artificial Intelligence: A Decision-Centric Architecture for Complex Systems Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm

Reference 120

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metadata mismatch
local_arxiv, observed 2026-08-05T19:30:34.599834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T19:30:33.775696Z digest=sha256:6e60483828c0a36b3d083beaba303803441a4e3edacd806bc933e90bd0a21acc