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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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:16.699389Z digest=sha256:203043086d39e2092544ce4925f4d79f765e6f57e6bfad35698b30b235a33daa

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:16.805518Z digest=sha256:20e22257a76120b41bc4d582e80f84267905e9bd24c037ab4dbf1aca5e074855

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:16.936415Z digest=sha256:0629dcbb582582d941be3281dfda983a7ad91429b37d1bb5436c09c64944d982

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:16.966080Z digest=sha256:eb4ea2a98def8fc3b4a85b56ba91d9b0d144de2b474d1a9730cc3c12dd95bcf8

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:17.080395Z digest=sha256:78e7186c9a820205d920d8b22ede1caa5ed7d0c4952691ef226681f84ceee0c5

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:17.225715Z digest=sha256:9f0891dc2250435c493d3aef5ee020bfe4f9bd0def133e98ead7828bb77a0a93

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.

source=pdf_text observed=2026-08-06T11:14:17.367433Z digest=sha256:52775377f84ba9ad995469a8d58ef6f28f24d7713192dba288c65f4788e15a29

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:17.499572Z digest=sha256:eb62c27de12d3e0c1d6f47e4f7e24242a0610a16067388fad07dd300f3a5ec30

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:17.649789Z digest=sha256:69e3067316730cac71ad926b634a8833a13fcd1ff30d32df36034b3836cbf6ad

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:17.863519Z digest=sha256:dcf4e78f145cbb44a5da941ea56f8c2eef1ecab31cffc50beec07bd1480127a0

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:18.047254Z digest=sha256:1b806d63049f8d95a14701ea47028b85a2d47165d1a6b057dcfe6d5fe064a01a

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:18.270677Z digest=sha256:5b12702eee38796e838236bcc43406c421aea0a70194f5daa042673a13487d28

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:18.442704Z digest=sha256:f84a994b20de9f445f29e77d07fbf573dc4324d19f1283d12544147cf1cccb21

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:18.613626Z digest=sha256:594f8e720c3cf395b19e51c0dbf86e6cae1884a5f8c64e0f2e017011dd713968

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:18.785386Z digest=sha256:fedc06f4f26be39e5702ae5a90da0e8a1f00a1bf5df52dea2068ed77872b6fa9

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:18.971298Z digest=sha256:e882a7e35962c23c180d0d5c61c539eada3347674c9c2253299c371a2249f4ff

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:19.190861Z digest=sha256:98f7da120a81e091b65ae500eef24867e7f269a340f63afab4ed925bbac93f4b

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:19.361024Z digest=sha256:8f0bd3ddf5c5e4f12f1621b073dbee517018ccea9cc475b7e384c8a78bbac2ff

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.

source=pdf_text observed=2026-08-06T11:14:19.461425Z digest=sha256:71f63d01ec8b3e6696c0c38021dbb438253d0c7a075990e33ee320081f28c4fc

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:19.524484Z digest=sha256:1d1495f874ba26546500b15deb59e1f96f2f7bd4ba89cf48414e8297961943b8

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:19.591835Z digest=sha256:cf5ef4fa05ff15e5c74dca32587a1449b52098f8b49da94ec0c85d703a7b61cd

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:19.624818Z digest=sha256:9e3ffa3f3c9a150f1dc6f69dee2438dd25f501e7ebbc17f584ae9ffcefe6ad71

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:19.727191Z digest=sha256:1707201e1efc9200c3ed35f5bb0ed7f7499be8625677b197a0d6b094251b44ba

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:19.838516Z digest=sha256:d259e80dc5f9aba9e0d126ee071c24ea7baa4aaa00333fc937a80d5ef8edf5e7

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.

source=pdf_text observed=2026-08-06T11:14:19.942493Z digest=sha256:fbaf465f5690cfa15eaa11b7183169008c21b95fd84eb75d1ef5a89347932c7b

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:20.084841Z digest=sha256:2325eda8c7ed9496b3e5bf473fdb1605f00b9712da51cdc781dbd405ac3b4e61

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:20.235642Z digest=sha256:493602fd4eb9489e7bc12eb70947e97f5fce11ff9b1dae9ebc28694c12a02e2f

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:20.387936Z digest=sha256:a0949a9a7c42ff06a24841407d26132fe2fd16b66ac6bf952168a5ca3346dced

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:20.552453Z digest=sha256:2ef2341dc68d400d10694479e9b05dda5968af3f109d18d32b61e62ae348d65d

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:20.724598Z digest=sha256:7e94e6bfea64758a955ebd024a6c7a6ba3202e01acaf5392684ac5b4cd673227

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:20.832705Z digest=sha256:431c5d69d9dea6b33b2a676953fd7d2880160f87b5da22a17657b223a27b27b8

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:20.970592Z digest=sha256:35958b52850f438b749800d931e3cf95b38b42e9a3284a7561ad9c59d44c5359

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:21.097062Z digest=sha256:3ec391faff04d39681d54b75aa48af6b6df9433bc6de90b699759e7c6df89dd8

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:21.240154Z digest=sha256:11528e8393f5da28c5664749d73778cbb50efb5d2e5a215a72cfc26be506e007

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:21.348873Z digest=sha256:2a779e65a0a50c943911148cc00afe7330733bd9c4cc00472b3ba8bb0255e2cb

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:21.486657Z digest=sha256:9b8148833e05260d41c97ca19701864b3d0d05dddef3de237678425293bfe1ba

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:21.633903Z digest=sha256:232812ddc2d10705ff724749d94caa6663dca3402e2db251cc98a5b9043d1975

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:21.741006Z digest=sha256:ea22eae226278f31b04e5b5eb9c40b364ba66397bd3bf1c4a67508a27442ca49

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:21.875310Z digest=sha256:d16ad57e5e918c09b4c8b435fd693d85b53ea65fa247bad85faff6eeb932819f

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:22.006067Z digest=sha256:81011bc7786df46e78d6605fc56785a0f8f22ab6028099aae20a0214f7a7eba1

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:22.127100Z digest=sha256:b1195516cb262110dbf26bff4975d948b211dd521ac3c322d4a91e26ee96b1f7

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:22.238695Z digest=sha256:689aba092980748eb58896592344039a1ea537a7d68943c7acde1311ab6f891e

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:22.355847Z digest=sha256:cdeb78350e4f5885fccb9aa570e67077a3e05fcde9ee048adfe6ed395547eb10

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:22.498733Z digest=sha256:9a692cafd13e76b5ec7cf73cf95fe97617ae40c56650cc8a1c4c183f7e4c951a

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T11:14:22.641095Z digest=sha256:6ca6ebcbafbd96bb3408bf43db36fc645d7984f3d1e55c0f754c987aac5233d7

Pith citing papers

No inbound Pith citation observations are available.