Paper Citation Record · LEDGER

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots

As of 15 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.18591.

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

pith.paper-citation-record.v1
2607.18591 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:00:09.268791Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

32 of 32 outbound references displayed

verified exact2
verified fuzzy0
unresolved30
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ad8f0a3c-ca53-4f11-ab40-af7c5efef151 · outbound

This paper cites Sustainable Energy & Fuels (2026).

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots Sustainable Energy & Fuels (2026)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T15:00:09.169182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f84dab1-1b58-4c18-9b5e-4aff85e86bec · outbound

This paper cites eScience3(4), 100141 (2023).

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots eScience3(4), 100141 (2023)

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T15:00:09.173385Z

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Observation 59d85ebb-3613-421c-b1a5-23a2722d24f7 · outbound

This paper cites Frontiers in Energy Research12, 1373522 (2024).

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots Frontiers in Energy Research12, 1373522 (2024)

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T15:00:09.177062Z

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Observation d850bf53-6fe2-412e-a25d-1f5f2cd362d7 · outbound

This paper cites ACS Catalysis15(13), 11617–11663 (2025).

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots ACS Catalysis15(13), 11617–11663 (2025)

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T15:00:09.180325Z

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Observation f0d88bda-c099-4d2b-9c28-c9b0e5107676 · outbound

This paper cites Advanced Materials30(48), 1801995 (2018).

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots Advanced Materials30(48), 1801995 (2018)

Reference 5

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Observation aa0f3797-9ffb-491c-a7e8-38087abd7023 · outbound

This paper cites ACS Applied Nano Materials7(23), 26468–26488 (2024).

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots ACS Applied Nano Materials7(23), 26468–26488 (2024)

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T15:00:09.187824Z

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Observation e9e332dc-e768-4a4c-9ca2-01700e9ce159 · outbound

This paper cites Chemical Society Reviews44(1), 362–381 (2015).

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots Chemical Society Reviews44(1), 362–381 (2015)

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T15:00:09.191431Z

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Observation ef5188ce-900e-4b67-aa93-676e71926214 · outbound

This paper cites Chemical Communications48(31), 3686–3699 (2012).

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots Chemical Communications48(31), 3686–3699 (2012)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T15:00:09.194570Z

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Observation b468e576-8532-4cbf-886f-4fa520b8fc88 · outbound

This paper cites Nanoscale5(10), 4015–4039 (2013).

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots Nanoscale5(10), 4015–4039 (2013)

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T15:00:09.197557Z

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Observation 0ad922bd-0ce1-4932-b217-f56aa779c5dc · outbound

This paper cites Chemical Physics Let- ters695, 138–148 (2018).

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots Chemical Physics Let- ters695, 138–148 (2018)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T15:00:09.200484Z

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Observation 86685e58-5838-4285-b14d-2073c1292dcd · outbound

This paper cites Physica E: Low-dimensional Systems and Nanostructures135, 114993 (2022).

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots Physica E: Low-dimensional Systems and Nanostructures135, 114993 (2022)

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T15:00:09.203557Z

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Observation 5df06ce8-7868-4f0b-9047-2b7d2202e249 · outbound

This paper cites ACS Omega11(7), 12843–12851 (2026).

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots ACS Omega11(7), 12843–12851 (2026)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T15:00:09.206570Z

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Observation 04fc59c6-3726-4b6f-9ddd-325ce142223c · outbound

This paper cites International Journal of Hydrogen Energy235, 155233 (2026).

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots International Journal of Hydrogen Energy235, 155233 (2026)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T15:00:09.210193Z

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Observation 9dc612f1-97b2-400c-bcfc-2c9018152c81 · outbound

This paper cites Journal of Physics: Condensed Matter36(38), 383002 (2024).

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots Journal of Physics: Condensed Matter36(38), 383002 (2024)

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T15:00:09.213071Z

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Observation 953dcabc-4c81-47c0-9868-3972f603b329 · outbound

This paper cites Physical Review Letters120(14), 145301 (2018).

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots Physical Review Letters120(14), 145301 (2018)

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T15:00:09.215944Z

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Observation 7ed9100b-65a7-4ae5-95a3-4e8cc7ac58c5 · outbound

This paper cites Computational Condensed Matter, e01139 (2025).

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots Computational Condensed Matter, e01139 (2025)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T15:00:09.218752Z

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Observation 972b1bb3-f32e-4e05-b217-df38205aed19 · outbound

This paper cites Communications Materials3(1), 93 (2022).

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots Communications Materials3(1), 93 (2022)

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T15:00:09.221834Z

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Observation 83096085-5b7b-4294-a9ac-2402dffa9f83 · outbound

This paper cites IEEE Transactions on Neural Networks20(1), 61–80 (2009).

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots IEEE Transactions on Neural Networks20(1), 61–80 (2009)

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T15:00:09.224792Z

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Observation dc730ae7-e961-4016-bdcf-4be73ec602e8 · outbound

This paper cites In: Proceedings of the 34th International Conference on Machine Learning, vol.

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots In: Proceedings of the 34th International Conference on Machine Learning, vol

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T15:00:09.227511Z

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Observation e44874e4-6002-415f-a527-68cf37859a18 · outbound

This paper cites Nature Communications13(1), 5788 (2022).

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots Nature Communications13(1), 5788 (2022)

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T15:00:09.230382Z

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Observation bd7fe269-2e25-4899-82a0-337496c1e780 · outbound

This paper cites In: Multiple Classifier Systems.

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots In: Multiple Classifier Systems

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T15:00:09.233850Z

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Observation 7bc46332-0e97-4b0f-ba5d-643000bbd96d · outbound

This paper cites Carbon95, 525–534 (2015).

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots Carbon95, 525–534 (2015)

Reference 22

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6a030471-986f-4d7f-911e-f4b69d35904b · outbound

This paper cites Physica B: Condensed Matter405(16), 3337–3341 (2010).

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots Physica B: Condensed Matter405(16), 3337–3341 (2010)

Reference 23

Resolution: verified exact; doi, observed 2026-08-01T15:03:27.750261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e6a91510-0b76-4b5d-bbe3-ac9b54498e87 · outbound

This paper cites Physical Review B47, 558–561 (1993).

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots Physical Review B47, 558–561 (1993)

Reference 24

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Unavailable: canonical work link unavailable.

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This paper cites Physical Review B49, 14251–14269 (1994).

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots Physical Review B49, 14251–14269 (1994)

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T15:00:09.246488Z

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Observation 989f13fd-8c70-41c5-870a-210efc07cc5b · outbound

This paper cites Computational Materials Science6, 15–50 (1996).

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots Computational Materials Science6, 15–50 (1996)

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T15:00:09.249583Z

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Unavailable: canonical work link unavailable.

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This paper cites Physical Review Letters77, 3865–3868 (1996).

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots Physical Review Letters77, 3865–3868 (1996)

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T15:00:09.252636Z

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Observation cf212ecd-0f48-4362-b582-b6c1b2181709 · outbound

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GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T15:00:09.255701Z

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Observation 2d495764-b0ac-468e-bae0-fedd93947db4 · outbound

This paper cites Journal of Computational Chemistry27, 1787–1799 (2006).

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots Journal of Computational Chemistry27, 1787–1799 (2006)

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T15:00:09.259139Z

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Unavailable: canonical work link unavailable.

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This paper cites Journal of Chemical Physics132, 154104 (2010).

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots Journal of Chemical Physics132, 154104 (2010)

Reference 30

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This paper cites In: Advances in Neural Information Processing Systems, vol.

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots In: Advances in Neural Information Processing Systems, vol

Reference 31

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This paper cites Fast Graph Representation Learning with PyTorch Geometric.

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots Fast Graph Representation Learning with PyTorch Geometric

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T15:00:09.268791Z

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Pith citing papers

No inbound Pith citation observations are available.