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Paper Citation Record · LEDGER

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems

As of 18 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2507.22279.

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

pith.paper-citation-record.v1
2507.22279 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:55:51.137657Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

26 of 26 outbound references displayed

  • verified exact7
  • verified fuzzy11
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bbf0cbb9-82f3-458e-8489-aeb1b76346d4 · outbound

This paper cites Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning,.

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning,

Reference 1

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no resolver link, observed 2026-08-06T11:55:50.999154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:55:50.999154Z digest=sha256:9e95508f105f4f36e1cb54145a91318264c47e072798717c42e452a660c68d2d

Observation c188a7eb-81f7-44c4-a4f5-e34e5debcd4c · outbound

This paper cites Learning-Based Control of Autonomous Vehicles Using an Adaptive Neuro-Fuzzy Inference System and the Linear Matrix Inequality Approach,.

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems Learning-Based Control of Autonomous Vehicles Using an Adaptive Neuro-Fuzzy Inference System and the Linear Matrix Inequality Approach,

Reference 2

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verified exact
doi, observed 2026-08-06T11:55:51.282558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 22125e5f-6813-4450-bd93-e6e6f7389001 · outbound

This paper cites Relative Position Estimation in Multi-Agent Systems Using Attitude-Coupled Range Measurements,.

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems Relative Position Estimation in Multi-Agent Systems Using Attitude-Coupled Range Measurements,

Reference 3

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metadata mismatch
raw_fallback, observed 2026-08-06T11:55:51.754221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation bc7166d4-ff6f-451b-8e72-90a747b760a5 · outbound

This paper cites Distributed Relative Localization Algorithms for Multi-Robot Networks: A Survey,.

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems Distributed Relative Localization Algorithms for Multi-Robot Networks: A Survey,

Reference 4

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verified exact
doi, observed 2026-08-06T11:55:51.262576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 331507ec-d245-4b30-bcc3-63991b7bdb6a · outbound

This paper cites Consensus-Based Formation Control for Heterogeneous Multi-Agent Systems in Complex Environments,.

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems Consensus-Based Formation Control for Heterogeneous Multi-Agent Systems in Complex Environments,

Reference 5

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verified exact
doi, observed 2026-08-06T11:55:51.246628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ab508ce0-d407-4395-a3cf-e43c761eb1eb · outbound

This paper cites Consensus and cooperation in networked multi-agent systems,.

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems Consensus and cooperation in networked multi-agent systems,

Reference 6

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metadata mismatch
raw_fallback, observed 2026-08-06T11:55:51.657669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:55:51.027381Z digest=sha256:daa63e5277bfd3350a9615afdd5d959d51310e738ec012e8cf92c92205da4d6f

Observation 6d283837-272d-41fd-a2ee-558a51884511 · outbound

This paper cites Data-Driven Convergence Prediction of Astrobots Swarms.

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems Data-Driven Convergence Prediction of Astrobots Swarms

Reference 7

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metadata mismatch
local_arxiv, observed 2026-08-06T11:55:51.579979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:55:51.032660Z digest=sha256:ed672c92eb51e9b2e41853b60e8096f5a20fa1dda8d05a1d0a76f03e2b7fce94

Observation ce8d5af1-a09b-4505-b4f0-350e8f9deae8 · outbound

This paper cites Multi-agent graph neural networks for collaborative perception and decision-making: A survey,.

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems Multi-agent graph neural networks for collaborative perception and decision-making: A survey,

Reference 8

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metadata mismatch
raw_fallback, observed 2026-08-06T11:55:51.551129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 40eb1d7b-0ecd-402e-a86b-9f5ef3913b63 · outbound

This paper cites Graph Neural Networks: A Review of Methods and Applications.

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems Graph Neural Networks: A Review of Methods and Applications

Reference 9

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unresolved
no resolver link, observed 2026-08-06T11:55:51.043984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 65f9820d-3fad-4464-a98b-ce4a5d2b0c47 · outbound

This paper cites Evolvegcn: Evolving graph convolutional networks for dynamic graphs,.

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems Evolvegcn: Evolving graph convolutional networks for dynamic graphs,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-06T11:55:51.935016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b95a454e-6a9b-4a30-ba34-984de0adddd8 · outbound

This paper cites Angles-Only Cooperative Local Catalog Maintenance of Close-Proximity Satellite Systems,.

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems Angles-Only Cooperative Local Catalog Maintenance of Close-Proximity Satellite Systems,

Reference 11

Resolution
verified exact
doi, observed 2026-08-06T11:55:51.224696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 7a9c048e-3a55-4354-8ff9-fce045427d48 · outbound

This paper cites W., Miller, K., Soderlund, A.

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems W., Miller, K., Soderlund, A

Reference 12

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verified exact
doi, observed 2026-08-06T11:55:51.204994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:55:51.058894Z digest=sha256:f6be152929f3b9c1024ad7ec5302b2fd3897973d8a3fab764334bcb7d773b548

Observation 60686c46-c43a-45b9-9568-3d11b968e98e · outbound

This paper cites ConsensusTrackingControlofMultipleUnmannedAerialVehicles Subject to Distinct Unknown Delays,.

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems ConsensusTrackingControlofMultipleUnmannedAerialVehicles Subject to Distinct Unknown Delays,

Reference 13

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verified exact
doi, observed 2026-08-06T11:55:51.186031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation bc920313-b509-443d-88af-b2facb38fa7f · outbound

This paper cites Control-Aware Trajectory Predictions for Communication-Efficient Drone Swarm Coordination in Cluttered Environments.

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems Control-Aware Trajectory Predictions for Communication-Efficient Drone Swarm Coordination in Cluttered Environments

Reference 14

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verified exact
local_arxiv, observed 2026-08-06T11:55:51.440814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:55:51.068473Z digest=sha256:18bd306282123a222c62d19ee3846fe77025890cf1f9675f283cc91c33aed967

Observation 149640a5-c7c7-4665-adf6-8b6f6dd5f45f · outbound

This paper cites Spatial temporal graph convolutional networks for skeleton-based action recognition,.

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems Spatial temporal graph convolutional networks for skeleton-based action recognition,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-06T11:55:51.917943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d16de59d-9c5a-4d0e-9a74-5cb443ec89d1 · outbound

This paper cites ST-GCN-based trajectory prediction in crowd navigation,.

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems ST-GCN-based trajectory prediction in crowd navigation,

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-06T11:55:51.902952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation bcf62fcb-2fc5-4567-b3e9-8d99e15823b2 · outbound

This paper cites ST-GRNN: Spatio-temporal graph recurrent neural network for traffic prediction,.

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems ST-GRNN: Spatio-temporal graph recurrent neural network for traffic prediction,

Reference 17

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metadata mismatch
raw_fallback, observed 2026-08-06T11:55:51.412784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:55:51.084369Z digest=sha256:62e210f4ce5de9b9c52b0f521dabdd29cf2562bab5e13e1b04f0fb5791084924

Observation 5b6ac6cb-dfe8-46fd-a619-f19d679b7663 · outbound

This paper cites Dynamic graph convolutional networks,.

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems Dynamic graph convolutional networks,

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-06T11:55:51.887750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:55:51.089587Z digest=sha256:0f801908ebfa201369e21931da733449dcb286bc4cbb070ae2d53f340c3c11c1

Observation a43f5c3f-17d3-40b6-909c-2eb51acf18f4 · outbound

This paper cites Multi-agent path planning via dynamic graph attention networks,.

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems Multi-agent path planning via dynamic graph attention networks,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:55:51.871289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c047e4e5-1160-44d5-a58e-b1b0e87aa9ff · outbound

This paper cites Temporal Graph Networks for Deep Learning on Dynamic Graphs.

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems Temporal Graph Networks for Deep Learning on Dynamic Graphs

Reference 20

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unresolved
no resolver link, observed 2026-08-06T11:55:51.099953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 74a8d479-d584-4d96-ab7b-ff0bbd47a8b1 · outbound

This paper cites TGN-based multi-agent interaction modeling for trajectory prediction,.

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems TGN-based multi-agent interaction modeling for trajectory prediction,

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-06T11:55:51.855792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:55:51.105508Z digest=sha256:4d1bd33fd15972cec53bfeeb86a1e0cd0c0c2266e028ff159b2bc1450bb287e2

Observation c2d7232f-aa27-4505-a54d-7df759a89b97 · outbound

This paper cites Event-drivenspatiotemporalmodelingforUAVswarmsusingtemporalgraphneuralnetworks,.

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems Event-drivenspatiotemporalmodelingforUAVswarmsusingtemporalgraphneuralnetworks,

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-06T11:55:51.840962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:55:51.110336Z digest=sha256:0a370ca1b11475168f92c3dfd417ca2f406598da8e437bbf1a73ebb5431d77f7

Observation c1d10d3a-c59f-4eef-8a2d-c6466e4a2388 · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,.

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-06T11:55:51.824690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:55:51.115318Z digest=sha256:0674b0e128802481a1cc880214d67cd463c06d8466f3a7434a4f38380d1ebcef

Observation d5483fd7-af0c-4025-b18f-0c43078dfad4 · outbound

This paper cites Physics-informed machine learning,.

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems Physics-informed machine learning,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:55:51.806566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:55:51.124227Z digest=sha256:2e553ed8f9d1c82a4da51c1839ca2650120c882df36520ab4c0db7bc9fdd3857

Observation f12990e6-87f2-4bd1-9f57-8988319ede9e · outbound

This paper cites DeepOPINN: Data-driven operator learning for solving parametric PDEs via physics-informed neural networks,.

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems DeepOPINN: Data-driven operator learning for solving parametric PDEs via physics-informed neural networks,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:55:51.787745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:55:51.130148Z digest=sha256:dce00ea992292632cd561116c32a16d18824a3033d388a8419133cc55456d09d

Observation d70e82c1-1f8a-46ef-898b-a50f7730bb87 · outbound

This paper cites Learning Contact-Rich Manipulation Skills with Guided Policy Search and Physics-Based Losses,.

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems Learning Contact-Rich Manipulation Skills with Guided Policy Search and Physics-Based Losses,

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-06T11:55:51.770571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:55:51.137657Z digest=sha256:1c46fe072c242f540b81e5877129ec778a828d8e37e75b49c1d761490ecc8ef8

Pith citing papers

No inbound Pith citation observations are available.