Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T23:34:56.019813Z
Paper Citation Record · LEDGER
Excavating The Ruins: an Ancient $z=2.675$ Galaxy Which Formed in the First 500 Myr
As of 18 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 2 inbound Pith citation observations for arXiv:2508.05752.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T13:58:31.524959Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
23 of 23 outbound references displayed
- verified exact0
- verified fuzzy21
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation 41f5ecd8-338c-4204-b656-f3e0605c6a61 · outbound
This paper cites Chgnet as a pretrained universal neural network potential for charge-informed atomistic modelling.������ ������� ������������, 5(9):1031–1041, 2023.
Excavating The Ruins: an Ancient $z=2.675$ Galaxy Which Formed in the First 500 Myr Chgnet as a pretrained universal neural network potential for charge-informed atomistic modelling.������ ������� ������������, 5(9):1031–1041, 2023
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T23:34:58.608140Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 45efe8f6-6044-4ca0-939d-48bba3fd28ac · outbound
This paper cites A universal graph deep learning interatomic potential for the periodic table.������ ������������� �������, 2(11):718–728, 2022.
Excavating The Ruins: an Ancient $z=2.675$ Galaxy Which Formed in the First 500 Myr A universal graph deep learning interatomic potential for the periodic table.������ ������������� �������, 2(11):718–728, 2022
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T23:34:58.452061Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 73675aa7-2ae7-4d5f-83c7-ce317e4aa2bc · outbound
This paper cites A foundation model for atomistic materials chemistry.��� ������� �� �������� �������, 163(18), 2025.
Excavating The Ruins: an Ancient $z=2.675$ Galaxy Which Formed in the First 500 Myr A foundation model for atomistic materials chemistry.��� ������� �� �������� �������, 163(18), 2025
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T23:34:58.292108Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7e27d769-c068-4dc1-b53a-5a43d9d5fe3b · outbound
This paper cites MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures.
Excavating The Ruins: an Ancient $z=2.675$ Galaxy Which Formed in the First 500 Myr MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T23:34:58.177024Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b9297194-999e-42eb-be48-1acedf1da2e4 · outbound
This paper cites Scalable parallel algorithm for graph neural network interatomic potentials in molecular dynamics simulations.�� ����� ������ �������, 20(11):4857–4868, 2024.
Excavating The Ruins: an Ancient $z=2.675$ Galaxy Which Formed in the First 500 Myr Scalable parallel algorithm for graph neural network interatomic potentials in molecular dynamics simulations.�� ����� ������ �������, 20(11):4857–4868, 2024
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T23:34:58.050299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 944617fb-9111-46ba-ac0c-b98981e12429 · outbound
This paper cites an unresolved cited work.
Excavating The Ruins: an Ancient $z=2.675$ Galaxy Which Formed in the First 500 Myr Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T23:34:57.912562Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7d537273-081e-45e7-9610-d3a051182d70 · outbound
This paper cites Orb: A fast, scalable neural network potential, 2024.
Excavating The Ruins: an Ancient $z=2.675$ Galaxy Which Formed in the First 500 Myr Orb: A fast, scalable neural network potential, 2024
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T23:34:57.793426Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3cfe5d62-1312-4f9e-a967-d44214b606bf · outbound
This paper cites Wood, Misko Dzamba, Xiang Fu, Meng Gao, Muhammed Shuaibi, Luis Barroso-Luque, Kareem Abdelmaqsoud, Vahe Gharakhanyan, John R.
Excavating The Ruins: an Ancient $z=2.675$ Galaxy Which Formed in the First 500 Myr Wood, Misko Dzamba, Xiang Fu, Meng Gao, Muhammed Shuaibi, Luis Barroso-Luque, Kareem Abdelmaqsoud, Vahe Gharakhanyan, John R
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T23:34:57.710034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 63d3d864-bee1-4191-b3b4-29d67e346793 · outbound
This paper cites Materials Graph Library, June 2021.
Excavating The Ruins: an Ancient $z=2.675$ Galaxy Which Formed in the First 500 Myr Materials Graph Library, June 2021
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T23:34:57.586965Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b32cb39e-f765-4547-92ee-7acb94953ce0 · outbound
This paper cites Uma: A family of universal models for atoms.����� �������� ����������������, 2025.
Excavating The Ruins: an Ancient $z=2.675$ Galaxy Which Formed in the First 500 Myr Uma: A family of universal models for atoms.����� �������� ����������������, 2025
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T23:34:57.497888Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7ded2ce3-683c-4785-a375-8863a002c671 · outbound
This paper cites Better without u: Impact of selective hubbard u correction on foundational mlips.����� �������� ����������������, 2026.
Excavating The Ruins: an Ancient $z=2.675$ Galaxy Which Formed in the First 500 Myr Better without u: Impact of selective hubbard u correction on foundational mlips.����� �������� ����������������, 2026
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T23:34:57.393730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9854e326-75cc-44fe-9cf3-76109f861f37 · outbound
This paper cites Energy & force regression on dft trajectories is not enough for universal machine learning interatomic potentials.
Excavating The Ruins: an Ancient $z=2.675$ Galaxy Which Formed in the First 500 Myr Energy & force regression on dft trajectories is not enough for universal machine learning interatomic potentials
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T23:34:57.281021Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 33aa4091-e838-4bc6-b85d-40d3aec449f7 · outbound
This paper cites Learning smooth and expressive interatomic potentials for physical property prediction.����� �������� ����������������, 2025.
Excavating The Ruins: an Ancient $z=2.675$ Galaxy Which Formed in the First 500 Myr Learning smooth and expressive interatomic potentials for physical property prediction.����� �������� ����������������, 2025
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T23:34:57.157085Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 760d5a1c-4f07-4705-a97f-3aefff0bf37a · outbound
This paper cites Open catalyst 2020 (oc20) dataset and community challenges.��� ���������, 11(10):6059–6072, 2021.
Excavating The Ruins: an Ancient $z=2.675$ Galaxy Which Formed in the First 500 Myr Open catalyst 2020 (oc20) dataset and community challenges.��� ���������, 11(10):6059–6072, 2021
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T23:34:57.024840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1d81f61b-70da-44f8-b105-e41ded6e3c68 · outbound
This paper cites Wood, Misko Dzamba, Meng Gao, Ammar Rizvi, C.
Excavating The Ruins: an Ancient $z=2.675$ Galaxy Which Formed in the First 500 Myr Wood, Misko Dzamba, Meng Gao, Ammar Rizvi, C
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T23:34:55.375488Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cf9254e6-3e0a-4e2a-8f07-94bef09e58b5 · outbound
This paper cites The open molecules 2025 (omol25) dataset, evaluations, and models.����� �������� ����������������, 2025.
Excavating The Ruins: an Ancient $z=2.675$ Galaxy Which Formed in the First 500 Myr The open molecules 2025 (omol25) dataset, evaluations, and models.����� �������� ����������������, 2025
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T23:34:56.924992Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a69961bd-cf6f-42df-9f09-5e7b6cc18e91 · outbound
This paper cites The open catalyst 2022 (oc22) dataset and challenges for oxide electrocatalysts.��� ���������, 13(5):3066–3084, 2023.
Excavating The Ruins: an Ancient $z=2.675$ Galaxy Which Formed in the First 500 Myr The open catalyst 2022 (oc22) dataset and challenges for oxide electrocatalysts.��� ���������, 13(5):3066–3084, 2023
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T23:34:56.789502Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 718320e3-553c-4be7-b2a9-53568e65ae93 · outbound
This paper cites Foundation models for atomistic simulation of chemistry and materials.����� �������� ����������������, 2025.
Excavating The Ruins: an Ancient $z=2.675$ Galaxy Which Formed in the First 500 Myr Foundation models for atomistic simulation of chemistry and materials.����� �������� ����������������, 2025
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T23:34:56.675687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b88c5033-e1f9-4e73-9648-4442662e6ef0 · outbound
This paper cites A framework to evaluate machine learning crystal stability predictions.������ ������� ������������, 7(6):836–847, 2025.
Excavating The Ruins: an Ancient $z=2.675$ Galaxy Which Formed in the First 500 Myr A framework to evaluate machine learning crystal stability predictions.������ ������� ������������, 7(6):836–847, 2025
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T23:34:56.588495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7133061a-5596-46d1-b149-496664a22f4e · outbound
This paper cites Forces are not enough: Benchmark and critical evaluation for machine learning force fields with molecular simulations, 2023.
Excavating The Ruins: an Ancient $z=2.675$ Galaxy Which Formed in the First 500 Myr Forces are not enough: Benchmark and critical evaluation for machine learning force fields with molecular simulations, 2023
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T23:34:56.474370Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ae8904ec-87a2-4fc3-80cf-4730a462643a · outbound
This paper cites Egraffbench: evaluation of equivariant graph neural network force fields for atomistic simulations.������� ���������, 3(4):759–768, 2024.
Excavating The Ruins: an Ancient $z=2.675$ Galaxy Which Formed in the First 500 Myr Egraffbench: evaluation of equivariant graph neural network force fields for atomistic simulations.������� ���������, 3(4):759–768, 2024
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T23:34:56.385464Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 89b03c24-ab6c-48e4-999a-0c5011ff7e19 · outbound
This paper cites Force-field optimization by end-to-end differentiable atomistic simulation.������� �� �������� ������ ��� �����������, 21(12):5867–5879, 2025.
Excavating The Ruins: an Ancient $z=2.675$ Galaxy Which Formed in the First 500 Myr Force-field optimization by end-to-end differentiable atomistic simulation.������� �� �������� ������ ��� �����������, 21(12):5867–5879, 2025
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T23:34:56.275097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3f9a92d0-2140-487a-ac57-c58a95e8cbfb · outbound
This paper cites Learning neural network potentials from experimental data via differentiable trajectory reweighting.������ ��������������, 12(1):6884, 2021.
Excavating The Ruins: an Ancient $z=2.675$ Galaxy Which Formed in the First 500 Myr Learning neural network potentials from experimental data via differentiable trajectory reweighting.������ ��������������, 12(1):6884, 2021
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T23:34:56.165212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
Observation 221c3996-2b5b-449b-a829-f8f27eb14954 · inbound
SQuIGG$\vec{L}$E: Buried star formation cannot explain the rapidly fading CO(2-1) luminosity in massive, $z\sim0.7$ post-starburst galaxies cites this paper.
SQuIGG$\vec{L}$E: Buried star formation cannot explain the rapidly fading CO(2-1) luminosity in massive, $z\sim0.7$ post-starburst galaxies Excavating The Ruins: an Ancient $z=2.675$ Galaxy Which Formed in the First 500 Myr
Reference 87
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:58:31.524959Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f24c22b5-3b10-4fbb-b669-e166f434cd91 · inbound
Winding Back the Clock: Recent Star Formation Histories of Massive Quiescent Galaxies Are Consistent With Their Rapid Number Density Evolution Since $\mathbf{z\sim7}$ cites this paper.
Winding Back the Clock: Recent Star Formation Histories of Massive Quiescent Galaxies Are Consistent With Their Rapid Number Density Evolution Since $\mathbf{z\sim7}$ Excavating The Ruins: an Ancient $z=2.675$ Galaxy Which Formed in the First 500 Myr
Reference 75
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T19:05:44.506526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.