Paper Citation Record · LEDGER

AtomAgents: Alloy design and discovery through physics-aware multi-modal multi-agent artificial intelligence

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2407.10022.

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

pith.paper-citation-record.v1
2407.10022 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:13:40.022859Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

9
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9e901e14-705d-41f7-baff-80a4a8ae8bdc · inbound

Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges AtomAgents: Alloy design and discovery through physics-aware multi-modal multi-agent artificial intelligence

Reference 270

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:52:10.045573Z

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.

Observation 06fd1412-fd8d-4364-b439-17b41e1021f9 · inbound

AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes cites this paper.

AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes AtomAgents: Alloy design and discovery through physics-aware multi-modal multi-agent artificial intelligence

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T00:13:40.022859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3882a75a-94c3-4836-9301-45ac3f86ddf6 · inbound

TopoMAS: Large Language Model Driven Topological Materials Multiagent System cites this paper.

TopoMAS: Large Language Model Driven Topological Materials Multiagent System AtomAgents: Alloy design and discovery through physics-aware multi-modal multi-agent artificial intelligence

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:32.012672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22c7a0eb-85f2-4593-a04c-f88f3ad98292 · inbound

Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator cites this paper.

Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator AtomAgents: Alloy design and discovery through physics-aware multi-modal multi-agent artificial intelligence

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-19T05:17:06.278577Z

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.

Observation cb6558e5-e74a-4bb8-a154-48417ee2073a · inbound

Generative Artificial Intelligence Extracts Structure-Function Relationships from Plants for New Materials cites this paper.

Generative Artificial Intelligence Extracts Structure-Function Relationships from Plants for New Materials AtomAgents: Alloy design and discovery through physics-aware multi-modal multi-agent artificial intelligence

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T22:56:19.235826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 352fe5e0-eda4-41f3-993d-f8b67262ff31 · inbound

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org cites this paper.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org AtomAgents: Alloy design and discovery through physics-aware multi-modal multi-agent artificial intelligence

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:20.764751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 992cb463-7406-428d-ba1c-506861d6f99b · inbound

In-situ process monitoring for defect detection in wire-arc additive manufacturing: an agentic AI approach cites this paper.

In-situ process monitoring for defect detection in wire-arc additive manufacturing: an agentic AI approach AtomAgents: Alloy design and discovery through physics-aware multi-modal multi-agent artificial intelligence

Reference 97

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:20:49.700165Z

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.

Observation 3d5eabd8-c77a-4271-9539-884f04f564c9 · inbound

OPD-Evolver: Cultivating Holistic Agent Evolver via On-Policy Distillation cites this paper.

OPD-Evolver: Cultivating Holistic Agent Evolver via On-Policy Distillation AtomAgents: Alloy design and discovery through physics-aware multi-modal multi-agent artificial intelligence

Reference 103

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T20:48:56.364030Z

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.

Observation 2a8ea8d5-151e-488e-89a6-061f8c65d9d2 · inbound

An Agentic Orchestration of Atomistic Simulations cites this paper.

An Agentic Orchestration of Atomistic Simulations AtomAgents: Alloy design and discovery through physics-aware multi-modal multi-agent artificial intelligence

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T11:36:13.346358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.