Paper Citation Record · LEDGER

Graph Neural Networks for the Graphical Bootstrap

As of 14 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2607.03109.

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

pith.paper-citation-record.v1
2607.03109 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T04:50:25.686477Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

21 of 21 outbound references displayed

verified exact0
verified fuzzy0
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a8924110-9d2f-4bf0-9d77-c957e86bec63 · outbound

This paper cites What can we learn about QCD and collider physics from N=4 super Yang-Mills?.

Graph Neural Networks for the Graphical Bootstrap What can we learn about QCD and collider physics from N=4 super Yang-Mills?

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T04:50:25.686477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffc6315c-bc30-4136-8b21-b6232e02a603 · outbound

This paper cites Three-Loop Four-Point Correlator in N=4 SYM.

Graph Neural Networks for the Graphical Bootstrap Three-Loop Four-Point Correlator in N=4 SYM

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-12T04:50:25.686477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e897d41d-41ab-434e-bdd8-a1b575641639 · outbound

This paper cites Hidden symmetry of four-point correlation functions and amplitudes in N=4 SYM.

Graph Neural Networks for the Graphical Bootstrap Hidden symmetry of four-point correlation functions and amplitudes in N=4 SYM

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-12T04:50:25.686477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e85cffb1-62da-415f-8367-95284ad70b06 · outbound

This paper cites Constructing the correlation function of four stress-tensor multiplets and the four-particle amplitude in N=4 SYM.

Graph Neural Networks for the Graphical Bootstrap Constructing the correlation function of four stress-tensor multiplets and the four-particle amplitude in N=4 SYM

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-12T04:50:25.686477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2283a98f-e127-488e-b5ac-b38d2f588993 · outbound

This paper cites Perturbation Theory at Eight Loops: Novel Structures and the Breakdown of Manifest Conformality.

Graph Neural Networks for the Graphical Bootstrap Perturbation Theory at Eight Loops: Novel Structures and the Breakdown of Manifest Conformality

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T04:50:25.686477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 364ec3d3-a46d-4f45-a06c-b15eb8075b1f · outbound

This paper cites Amplitudes and Correlators to Ten Loops Using Simple, Graphical Bootstraps.

Graph Neural Networks for the Graphical Bootstrap Amplitudes and Correlators to Ten Loops Using Simple, Graphical Bootstraps

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-12T04:50:25.686477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3711b822-7ee9-4c2e-8c9b-c3d720637cc7 · outbound

This paper cites The Cusp Limit of Correlators and A New Graphical Bootstrap for Correlators/Amplitudes to Eleven Loops.

Graph Neural Networks for the Graphical Bootstrap The Cusp Limit of Correlators and A New Graphical Bootstrap for Correlators/Amplitudes to Eleven Loops

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T04:50:25.686477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e8f9b52-0aa1-4f0f-95ce-48aad2c27450 · outbound

This paper cites The Four-Point Correlator of Planar sYM at Twelve Loops.

Graph Neural Networks for the Graphical Bootstrap The Four-Point Correlator of Planar sYM at Twelve Loops

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-12T04:50:25.686477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b35a59d4-6c95-459c-9d15-b83ed3a28041 · outbound

This paper cites an unresolved cited work.

Graph Neural Networks for the Graphical Bootstrap Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-12T04:50:25.686477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9886c4d8-acf7-40ce-ac3c-7b2d23a999be · outbound

This paper cites Alnuqaydan, S.

Graph Neural Networks for the Graphical Bootstrap Alnuqaydan, S

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T04:50:25.686477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5183bf97-75f1-4e98-983a-c839702cabd2 · outbound

This paper cites Simplifying Polylogarithms with Machine Learning.

Graph Neural Networks for the Graphical Bootstrap Simplifying Polylogarithms with Machine Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-12T04:50:25.686477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c49e56a-c3b0-4638-8cfc-9380e614ef74 · outbound

This paper cites an unresolved cited work.

Graph Neural Networks for the Graphical Bootstrap Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-12T04:50:25.686477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa128f55-a6fb-4752-a68d-e1332861db13 · outbound

This paper cites Veliˇckovi´c, G.

Graph Neural Networks for the Graphical Bootstrap Veliˇckovi´c, G

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-12T04:50:25.686477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe190ce2-5af1-44ff-851f-bf7ef9b224e9 · outbound

This paper cites Do Transformers Really Perform Bad for Graph Representation?.

Graph Neural Networks for the Graphical Bootstrap Do Transformers Really Perform Bad for Graph Representation?

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-12T04:50:25.686477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9aca4afc-a22f-4566-a412-45a352e358a2 · outbound

This paper cites Duong, T.D.

Graph Neural Networks for the Graphical Bootstrap Duong, T.D

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-12T04:50:25.686477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a1209c8-2bd7-42f1-9df4-d12c77332519 · outbound

This paper cites Dwivedi, A.T.

Graph Neural Networks for the Graphical Bootstrap Dwivedi, A.T

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T04:50:25.686477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65be319e-19e4-485e-8b74-f950cdef36a3 · outbound

This paper cites Graphlet and Orbit Computation on Heterogeneous Graphs.

Graph Neural Networks for the Graphical Bootstrap Graphlet and Orbit Computation on Heterogeneous Graphs

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-12T04:50:25.686477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3d1a87d-dbb3-4718-a702-87b1c21dcb5e · outbound

This paper cites an unresolved cited work.

Graph Neural Networks for the Graphical Bootstrap Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-12T04:50:25.686477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a3e8a56-0614-4dc6-84b9-b2630b4eaeea · outbound

This paper cites Vaswani, N.

Graph Neural Networks for the Graphical Bootstrap Vaswani, N

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-12T04:50:25.686477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35c03069-0e5f-4995-9349-0083cc346717 · outbound

This paper cites McGraw and S.P.

Graph Neural Networks for the Graphical Bootstrap McGraw and S.P

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-12T04:50:25.686477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bafdb60e-8ea7-4dc0-81da-f2f34a0d2b2c · outbound

This paper cites Alain and Y.

Graph Neural Networks for the Graphical Bootstrap Alain and Y

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-12T04:50:25.686477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.