Paper Citation Record · LEDGER

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers

As of 11 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2507.23012.

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

pith.paper-citation-record.v1
2507.23012 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:14:22.641095Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

45 of 45 outbound references displayed

verified exact1
verified fuzzy40
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d09fc316-93bc-4f53-9539-8ee4a338b98c · outbound

This paper cites Flexflow: A flexible dataflow accelerator architecture for convolutional neural networks,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Flexflow: A flexible dataflow accelerator architecture for convolutional neural networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:31.780734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5df28bbf-6b4a-4f12-95bb-31ba32736e77 · outbound

This paper cites Hammingmesh: a network topology for large-scale deep learning,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Hammingmesh: a network topology for large-scale deep learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:31.608538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ab4efd88-1c28-4c8d-854c-34ce0c5e169b · outbound

This paper cites Is network the bottleneck of distributed training?.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Is network the bottleneck of distributed training?

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:31.401897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b1ed8536-b13b-4b1c-a517-370af55a9639 · outbound

This paper cites CONGA: Distributed congestion-aware load balancing for datacenters,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers CONGA: Distributed congestion-aware load balancing for datacenters,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:31.197287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5357af0a-5e97-47b9-9057-662dbcdea9aa · outbound

This paper cites Data center tcp (dctcp),.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Data center tcp (dctcp),

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:31.018098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 50915409-8e0c-4a32-a197-84fb1ede843d · outbound

This paper cites Ethereal: Divide and Conquer Network Load Balancing in Large-Scale Distributed Training.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Ethereal: Divide and Conquer Network Load Balancing in Large-Scale Distributed Training

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T11:14:23.237959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0c63a156-39e7-4530-bb85-7fb712c6ce43 · outbound

This paper cites Datacenter Ethernet and RDMA: Issues at Hyperscale.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Datacenter Ethernet and RDMA: Issues at Hyperscale

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T11:14:17.367433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8eb1c92-83eb-4bc8-bd0c-b638d23974ba · outbound

This paper cites Handling inter-DC/Edge AI-related network traffic: Problem statement,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Handling inter-DC/Edge AI-related network traffic: Problem statement,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:30.824732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ded61180-0417-4073-beb6-b55ee8fb7aab · outbound

This paper cites Communication optimization strategies for distributed deep neural network training: A survey,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Communication optimization strategies for distributed deep neural network training: A survey,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:30.492119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6dd35302-604a-4429-b555-74b16fbc91d8 · outbound

This paper cites Network load balancing with parallel flowlets for ai training clusters,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Network load balancing with parallel flowlets for ai training clusters,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:30.158225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1bcb7c15-5c21-455b-bb28-99cfe1966f4c · outbound

This paper cites Multipath issues in unicast and multicast next-hop selection,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Multipath issues in unicast and multicast next-hop selection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:29.908171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7bb24690-d545-4896-ad9d-613aa297c40c · outbound

This paper cites Let it flow: Resilient asymmetric load balancing with flowlet switching,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Let it flow: Resilient asymmetric load balancing with flowlet switching,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:29.711249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2d42458e-5518-429c-920d-bddea5f1811f · outbound

This paper cites Mitigating packet reorder- ing for random packet spraying in data center networks,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Mitigating packet reorder- ing for random packet spraying in data center networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:29.578055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bd53b8c2-60fa-4ec2-b6e8-81bfeb27bd9f · outbound

This paper cites Hedera: Dynamic flow scheduling for data center networks,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Hedera: Dynamic flow scheduling for data center networks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:29.413640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3d90b8c2-3eda-4199-9f24-06487ad312c9 · outbound

This paper cites The new era needs a new network,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers The new era needs a new network,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:29.199178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 73ae7675-7b09-441f-8d67-6c75656e5ce9 · outbound

This paper cites Empowering ai workloads in ultra ethernet consortium,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Empowering ai workloads in ultra ethernet consortium,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:29.006679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b2bc71eb-6751-48b3-98a3-cee294956ed7 · outbound

This paper cites On the impact of packet spraying in data center networks,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers On the impact of packet spraying in data center networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:28.778743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 566709e0-d920-4e4a-9dea-439b0430fbcc · outbound

This paper cites Drill: Micro load balancing for low-latency data center networks,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Drill: Micro load balancing for low-latency data center networks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:28.590806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 456bf081-de51-4328-9b31-896f03f164ac · outbound

This paper cites STrack: A Reliable Multipath Transport for AI/ML Clusters.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers STrack: A Reliable Multipath Transport for AI/ML Clusters

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T11:14:19.461425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dbb44fc-692b-47ee-9078-f3fd4b6311e1 · outbound

This paper cites Random early detection gateways for congestion avoidance,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Random early detection gateways for congestion avoidance,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:28.368684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f0218204-feb5-4fc3-909a-6d0a777d959a · outbound

This paper cites Re-architecting datacenter networks and stacks for low latency and high performance,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Re-architecting datacenter networks and stacks for low latency and high performance,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:28.212769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 46fdceb6-bb78-44e3-96f2-9f5f7d079fbd · outbound

This paper cites Multi-Path transport for RDMA in datacenters,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Multi-Path transport for RDMA in datacenters,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:28.035541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8972d50c-331d-4388-a005-b7ef9b51e972 · outbound

This paper cites PLB: Congestion signals are simple and effective for network load balancing,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers PLB: Congestion signals are simple and effective for network load balancing,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:27.896355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5c7d1eb8-ee8e-47a6-891a-c7247cdc92c5 · outbound

This paper cites Best nexthop load balancing algorithm with inband network telemetry,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Best nexthop load balancing algorithm with inband network telemetry,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:27.740419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7089e5b6-bcc8-4c37-9684-8a9fa044f728 · outbound

This paper cites REPS: Recycled entropy packet spraying for adaptive load balancing and failure mitigation,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers REPS: Recycled entropy packet spraying for adaptive load balancing and failure mitigation,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T11:14:19.942493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20425dc4-9250-4633-a2e9-05d18d82aeef · outbound

This paper cites Per-packet load-balanced, low-latency routing for clos-based data center networks,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Per-packet load-balanced, low-latency routing for clos-based data center networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:27.630232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e2d632cd-834d-4ca3-9132-18b8fb8127c0 · outbound

This paper cites The addition of explicit congestion notification (ECN) to IP,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers The addition of explicit congestion notification (ECN) to IP,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:27.412338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation aa2e7291-0c8a-459e-9192-022d1121b9fb · outbound

This paper cites Tuning ECN for data center networks,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Tuning ECN for data center networks,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:27.167622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8d5b1d8a-097d-4f55-8cd1-ccbbff9da3d7 · outbound

This paper cites Fisher–yates shuffle,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Fisher–yates shuffle,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:27.008019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e5298d8b-b2c8-41eb-be20-855ff6d52b18 · outbound

This paper cites SeqBalance: Congestion-Aware Load Balancing with no Reordering for RoCE.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers SeqBalance: Congestion-Aware Load Balancing with no Reordering for RoCE

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:14:22.879569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0138653a-65ee-4a71-bbcf-a917c64fe3f5 · outbound

This paper cites What is bfd?.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers What is bfd?

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:26.818549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c22a3e27-8eec-40a9-b48d-42589336975c · outbound

This paper cites What is dpfr?.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers What is dpfr?

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:26.622305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ef7bbc16-a8b9-4ea4-98c7-93b03114ce69 · outbound

This paper cites Cognitive routing in the tomahawk 5 data center switch,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Cognitive routing in the tomahawk 5 data center switch,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:26.442355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e8488b1e-57e1-4d17-abdd-9c40171b7b56 · outbound

This paper cites MicroTE: Fine grained traffic engineering for data centers,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers MicroTE: Fine grained traffic engineering for data centers,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:26.227751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8a657d20-7035-471b-af0d-b9dc24cc1962 · outbound

This paper cites Mahout: Low-overhead datacenter traffic management using end-host-based elephant detection,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Mahout: Low-overhead datacenter traffic management using end-host-based elephant detection,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:25.985638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f0cd464f-8687-4fe5-8d05-4a9cc7e15ff2 · outbound

This paper cites Planck: Millisecond-scale monitoring and control for commodity networks,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Planck: Millisecond-scale monitoring and control for commodity networks,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:25.773164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 097bb8f5-c281-450a-a775-d3157cbc00e2 · outbound

This paper cites Flowbender: Flow- level adaptive routing for improved latency and throughput in datacenter networks,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Flowbender: Flow- level adaptive routing for improved latency and throughput in datacenter networks,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:25.574591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2ec2a634-3f08-4fd4-8d22-12e3a11cc588 · outbound

This paper cites Hula: Scalable load balancing using programmable data planes,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Hula: Scalable load balancing using programmable data planes,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:25.239081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 719ab97e-66a8-4138-82e0-ff038d2a6621 · outbound

This paper cites CLOVE: How i learned to stop worrying about the core and love the edge,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers CLOVE: How i learned to stop worrying about the core and love the edge,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:25.070977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fb8a3016-5138-4097-9a9e-772a108fb903 · outbound

This paper cites Presto: Edge-based load balancing for fast datacenter networks,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Presto: Edge-based load balancing for fast datacenter networks,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:24.878146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 07029031-9ec9-47bc-9f71-95f418bfa2fd · outbound

This paper cites Fastpass: A centralized.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Fastpass: A centralized

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:24.655629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e5a083c6-0d99-4d0f-986c-4fa053aa1cd0 · outbound

This paper cites QDAPS: Queueing delay aware packet spraying for load balancing in data center,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers QDAPS: Queueing delay aware packet spraying for load balancing in data center,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:24.329525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 66286f79-8fbb-4f1c-95c1-169a9112b5a0 · outbound

This paper cites AG: Adaptive switching granular- ity for load balancing with asymmetric topology in data center network,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers AG: Adaptive switching granular- ity for load balancing with asymmetric topology in data center network,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:24.100885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 34273e0c-f02c-48d8-af76-ed384eff7f81 · outbound

This paper cites Congestion signaling (CSIG),.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers Congestion signaling (CSIG),

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:23.784370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7616a2bf-a599-4bbd-813c-0867ee6a39c8 · outbound

This paper cites In-band network telemetry (INT) dataplane specification,.

PRIME: Pseudo-Random Integrated Multi-Part Entropy for Adaptive Packet Spraying in AI/ML Data centers In-band network telemetry (INT) dataplane specification,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:14:23.466761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.