Paper Citation Record · LEDGER

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training

As of 23 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2606.12963.

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

pith.paper-citation-record.v1
2606.12963 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T05:41:45.840297Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

40 of 40 outbound references displayed

verified exact11
verified fuzzy0
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 54bbb668-968d-4457-88d7-5083df98d716 · outbound

This paper cites Hedera:dynamicflowschedulingfordatacenternetworks., in: Nsdi, San Jose, USA.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Hedera:dynamicflowschedulingfordatacenternetworks., in: Nsdi, San Jose, USA

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-27T05:41:45.840297Z

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Observation c5ae4423-557b-49fd-be5d-fd32fa23635b · outbound

This paper cites Conga: Distributed congestion-aware load balancing for datacenters, in: Proceedings of the 2014 ACM conference on SIGCOMM, pp.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Conga: Distributed congestion-aware load balancing for datacenters, in: Proceedings of the 2014 ACM conference on SIGCOMM, pp

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-27T05:41:45.840297Z

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Observation 75901da5-069c-4879-bc32-700bd0eee028 · outbound

This paper cites The evolution of the carrier cloud networking, in: 2013 IEEE Seventh International Symposium on Service- Oriented System Engineering, IEEE.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training The evolution of the carrier cloud networking, in: 2013 IEEE Seventh International Symposium on Service- Oriented System Engineering, IEEE

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-27T05:41:45.840297Z

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Observation cb8c363e-b5a4-4189-91a5-256ac75ad933 · outbound

This paper cites Multiprotocol Extensions for BGP-4.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Multiprotocol Extensions for BGP-4

Reference 4

Resolution: verified exact; doi, observed 2026-06-28T16:32:23.266123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c77b447e-fd96-4941-931a-cbd4ddf2f67c · outbound

This paper cites containerlab: Container-based networking lab framework.https://github.com/srl-labs/containerlab.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training containerlab: Container-based networking lab framework.https://github.com/srl-labs/containerlab

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-27T05:41:45.840297Z

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Observation e9c9147f-c483-4ab0-b9c7-054eb77a1cee · outbound

This paper cites Beyond a single ai cluster: A survey of decentralized llm training.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Beyond a single ai cluster: A survey of decentralized llm training

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:28:38.930010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e141ccee-5c96-4056-9040-2bc49e613d4b · outbound

This paper cites Telecommunications Fraud Machine Learning-based Detection.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Telecommunications Fraud Machine Learning-based Detection

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T16:32:23.268936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6ed53979-9679-49e3-908e-111c8af53695 · outbound

This paper cites Rdmaoverethernet for distributed training at meta scale, in: Proceedings of the ACM SIGCOMM 2024 Conference, pp.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Rdmaoverethernet for distributed training at meta scale, in: Proceedings of the ACM SIGCOMM 2024 Conference, pp

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-27T05:41:45.840297Z

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Observation 2970107c-0fe3-4d4d-b99c-acae23b3a897 · outbound

This paper cites Scc: Synchronization congestion control for multi-tenant learning over geo-distributed clouds.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Scc: Synchronization congestion control for multi-tenant learning over geo-distributed clouds

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T05:41:45.840297Z

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Observation 637149c7-28a1-40d9-a0f7-050b21a132da · outbound

This paper cites A survey of virtual private lan services (vpls): Past, present and future.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training A survey of virtual private lan services (vpls): Past, present and future

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-27T05:41:45.840297Z

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Observation c5bbd8a2-78d4-4322-bc1c-09eeecfaf79f · outbound

This paper cites ByteScale: Communication-Efficient Scaling of LLM Training with a 2048K Context Length on 16384 GPUs , url=.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training ByteScale: Communication-Efficient Scaling of LLM Training with a 2048K Context Length on 16384 GPUs , url=

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-28T16:32:23.271466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b2b7d348-c565-40ab-925f-fc7dc8e13768 · outbound

This paper cites Evolution of data center design to handle ai workloads, in: 2024 34th International Telecommunication Networks and Applications Conference (ITNAC), IEEE.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Evolution of data center design to handle ai workloads, in: 2024 34th International Telecommunication Networks and Applications Conference (ITNAC), IEEE

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-27T05:41:45.840297Z

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Observation 611e472c-ad8f-4e54-b289-6a152801fd2b · outbound

This paper cites Reproduciblenetworkexperimentsusingcontainer-basedemulation, in: Proceedings of the 8th international conference on Emerging networking experiments and technologies, pp.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Reproduciblenetworkexperimentsusingcontainer-basedemulation, in: Proceedings of the 8th international conference on Emerging networking experiments and technologies, pp

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-27T05:41:45.840297Z

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Observation 29c56cfe-18dd-48dc-84bb-4834d839bc60 · outbound

This paper cites an unresolved cited work.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-27T05:41:45.840297Z

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Observation 0517a180-64ae-44ba-82f4-9f8d10318948 · outbound

This paper cites Computer 56, 67–77.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Computer 56, 67–77

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-27T05:41:45.840297Z

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Observation 3d284fb0-a62e-47b6-8ec1-d55a83d202d6 · outbound

This paper cites an unresolved cited work.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-27T05:41:45.840297Z

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Observation 30940c8c-1bd1-4865-9cba-eeccab5dcc4c · outbound

This paper cites Ultra Ethernet's Design Principles and Architectural Innovations.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Ultra Ethernet's Design Principles and Architectural Innovations

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T16:28:38.924116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 69fc697c-a5af-4746-8310-70ad85168e31 · outbound

This paper cites Analysis of an equal-cost multi-path algorithm.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Analysis of an equal-cost multi-path algorithm

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-27T05:41:45.840297Z

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Observation a09f1410-30b5-4891-a8f2-2b02175fe5fd · outbound

This paper cites L3dml: Facilitating geo-distributed machine learning in network layer.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training L3dml: Facilitating geo-distributed machine learning in network layer

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-06-28T16:32:23.273974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8f2fc5e2-e951-4ca1-b8e9-bcc07bea029d · outbound

This paper cites Gaia: Geo-Distributed machine learning approachingLANspeeds,in:14thUSENIXSymposiumonNetworkedSystemsDesignandImplementation(NSDI17),USENIXAssociation, Boston, MA.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Gaia: Geo-Distributed machine learning approachingLANspeeds,in:14thUSENIXSymposiumonNetworkedSystemsDesignandImplementation(NSDI17),USENIXAssociation, Boston, MA

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-27T05:41:45.840297Z

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Observation 3b38cee4-c8dd-4485-b0e5-d9eec7acdf32 · outbound

This paper cites Demystifyingnccl:Anin-depth analysis of gpu communication protocols and algorithms, in: 2025 IEEE Symposium on High-Performance Interconnects (HOTI), IEEE.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Demystifyingnccl:Anin-depth analysis of gpu communication protocols and algorithms, in: 2025 IEEE Symposium on High-Performance Interconnects (HOTI), IEEE

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-27T05:41:45.840297Z

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Observation 810072ba-2e94-4c82-8267-c9498028e825 · outbound

This paper cites an unresolved cited work.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-27T05:41:45.840297Z

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Observation 379bd042-f163-40ce-8d15-b922939cab43 · outbound

This paper cites Bidirectional Forwarding Detection (BFD).

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Bidirectional Forwarding Detection (BFD)

Reference 23

Resolution: verified exact; doi, observed 2026-06-28T16:32:23.258945Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 62ac2486-7b06-4620-88da-d6039cb2d08b · outbound

This paper cites Parallelgradientcomputationandsynchronization:Enhancingtheefficiencyofdistributed training for llms.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Parallelgradientcomputationandsynchronization:Enhancingtheefficiencyofdistributed training for llms

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-27T05:41:45.840297Z

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Observation 2d40cdba-c1d1-468b-b9e2-88b9abb77cd9 · outbound

This paper cites Communicationefficientdistributedmachinelearningwiththeparameterserver.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Communicationefficientdistributedmachinelearningwiththeparameterserver

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-27T05:41:45.840297Z

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Observation ef788e5b-2660-4900-b5b5-1bc0669180fc · outbound

This paper cites Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T16:28:38.933384Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 204ac9c3-599e-48cb-a855-ab3f153d1325 · outbound

This paper cites Virtual eXtensible Local Area Network (VXLAN): A Framework for Overlaying Virtualized Layer 2 Networks over Layer 3 Networks.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Virtual eXtensible Local Area Network (VXLAN): A Framework for Overlaying Virtualized Layer 2 Networks over Layer 3 Networks

Reference 27

Resolution: verified exact; doi, observed 2026-06-28T16:32:23.260913Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 745f0c19-1108-4024-a2ae-8773b494b050 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:28:38.927626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 39c6ad37-f458-4a63-8914-e922d723415e · outbound

This paper cites Collaborative deep learning across multiple data centers.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Collaborative deep learning across multiple data centers

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-27T05:41:45.840297Z

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Observation ae2fa70b-0065-4e29-a3a5-fe7f63c71541 · outbound

This paper cites an unresolved cited work.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Unresolved cited work

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-06-28T16:32:23.264329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2779ca31-23b3-42fb-bf70-d20c93250ef7 · outbound

This paper cites Evpn/sdn assisted live vm migration between geo-distributed data centers, in: 2018 4th IEEE Conference on Network Softwarization and Workshops (NetSoft), pp.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Evpn/sdn assisted live vm migration between geo-distributed data centers, in: 2018 4th IEEE Conference on Network Softwarization and Workshops (NetSoft), pp

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-06-28T16:32:23.257232Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8628dc2c-15f3-47dd-9a20-918bd4454a25 · outbound

This paper cites accessed: 2025-06-08.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training accessed: 2025-06-08

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-27T05:41:45.840297Z

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Observation 6c7fc9b0-742e-4376-9e6f-da7bf35c7a7a · outbound

This paper cites Datacenter optimization methods for softwarized network services.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Datacenter optimization methods for softwarized network services

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-27T05:41:45.840297Z

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Observation e0ec7665-1b40-423d-a114-44c50ff1a6d0 · outbound

This paper cites The ns-3 network simulator, in: Modeling and tools for network simulation.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training The ns-3 network simulator, in: Modeling and tools for network simulation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-27T05:41:45.840297Z

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Observation 27947468-2d96-4405-ac51-2d7a99905742 · outbound

This paper cites Acceleratingcollectivecommunicationindataparalleltrainingacrossdeeplearningframeworks,in:19thUSENIXSymposiumonNetworked Systems Design and Implementation (NSDI 22), pp.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Acceleratingcollectivecommunicationindataparalleltrainingacrossdeeplearningframeworks,in:19thUSENIXSymposiumonNetworked Systems Design and Implementation (NSDI 22), pp

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-27T05:41:45.840297Z

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Observation bdd281b7-3f47-482c-8740-7525dc00b4ea · outbound

This paper cites A Network Virtualization Overlay Solution Using Ethernet VPN (EVPN).

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training A Network Virtualization Overlay Solution Using Ethernet VPN (EVPN)

Reference 36

Resolution: verified exact; doi, observed 2026-06-28T16:32:23.254130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation aa72f9af-ebfd-4ea2-8195-ffe039b1d672 · outbound

This paper cites librxe-dev: Software rdma over ethernet (soft-roce) implementation.https://github.com/SoftRoCE/ librxe-dev.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training librxe-dev: Software rdma over ethernet (soft-roce) implementation.https://github.com/SoftRoCE/ librxe-dev

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-27T05:41:45.840297Z

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Observation a89a184c-b303-40ee-99ae-1c53849dfaae · outbound

This paper cites Hcec:Anefficientgeo-distributeddeeplearningtrainingstrategybasedonwait-free back-propagation.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Hcec:Anefficientgeo-distributeddeeplearningtrainingstrategybasedonwait-free back-propagation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-27T05:41:45.840297Z

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Observation 43027936-0090-4506-b442-0b49d23730b3 · outbound

This paper cites an unresolved cited work.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-06-27T05:41:45.840297Z

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Unavailable: canonical work link unavailable.

Observation 60605fae-3404-4e58-b719-e28d119fe3fb · outbound

This paper cites Collaborative Deep Learning Across Multiple Data Centers.

ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training Collaborative Deep Learning Across Multiple Data Centers

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-07-03T16:28:38.930509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.