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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 13 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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:16.699389Z digest=sha256:39e838aee2d5743fb9d14a0cff7e22337f76fb74cef27b88fdb8c16ea9d3aa51

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:16.805518Z digest=sha256:534c0dd7c2aeb63c97fd84f8ed012f559db7a1967598ca50cf74a5c929e3b189

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:16.936415Z digest=sha256:7332459881967ee0b4ea10418f671e9dc39e048f1ee3d6a6563f50fccc7fcf26

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:16.966080Z digest=sha256:f75d89331b8660d6e59eb59367d4f7451deee4afe3b7c478510b6cd201c0d91e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:17.080395Z digest=sha256:e3c4e4a9c157df5b3187d461bc73f1b7012b47c4bf42fe76819511796f2112bb

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:17.225715Z digest=sha256:522f8e053154deb30ba50deaf532df40ab87b5a2c0581cbfd51ba68d7994634e

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:b1cf648a218f092dbf769ee8684b7767deb3debf30a9f19753345be2433ffc2e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:17.499572Z digest=sha256:e31fd32a695e42f546bacc8cc3738dc4c4c4a8d7808076597091c8bf49082d90

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:17.649789Z digest=sha256:1eaeb9b29a50162da0c05afbedbe9e547b63a6d188f41064af288c77146f0c96

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:17.863519Z digest=sha256:053fd077da30433f41307f7bb7023e8653cf5e26fb778a0d9d2f6b3343443217

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:18.047254Z digest=sha256:d582743e538edca52f4a7c7a21b301eaaef3801ab4d05aeae6f20c250f2b2eac

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:18.270677Z digest=sha256:6c81a08b4e6fb6343b0721ce50c457a6d1ecdc05d476f2fa171ef87b3405df8a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:18.442704Z digest=sha256:54ae300e00e34556239dbe8034511521601e500e11825157b81915de7457770c

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:18.613626Z digest=sha256:2ed5a050193dd80856e23dda8db20d92666b1735164f0262728e4388f1bc8b3c

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:18.785386Z digest=sha256:07fc262a1506843e3c9f207ea2a12175d2955eb65ddb0ae033447609e5ef6886

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:18.971298Z digest=sha256:dbeeda1df1c6f8552c241c427d82d19441e6edbdc3e386a079b2e14e4c3bda47

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:19.190861Z digest=sha256:c1a3acb6b5096aa45947c14f4e8829e0f29d7ad6c5aeea9b2792b99e3c12ea3a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:19.361024Z digest=sha256:1969614cd109595e6fc353bc70ca2dd5b0a6f3b4fdeafc06dfea05c2c5ac4c08

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=sha256:54d49ceef4ae8c448da30f3bdb395051dc956066420ceda24bda5dcd63b105b0

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:19.524484Z digest=sha256:423873318f5a4c632efd84b1ee68ba523fa9f06371376c32c93e2cce6b4dfe88

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:19.591835Z digest=sha256:b025105b6a5bdd6c519ce429a81331d31e84c9c03c2ed69eabe903de5d71b67c

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:19.624818Z digest=sha256:14534b7534807e685bf199779cad732fb815ed4943da75cabedc57c94f2f7d85

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:19.727191Z digest=sha256:ab7b75ac26e43c7558e936e40edec6460930f4773e8309b789553de265964214

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:19.838516Z digest=sha256:5efea7aa50fd49f7a498e450c47e2f1a3e945d1e614eaa41615879bd1b886abc

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:20.084841Z digest=sha256:4997ff1e404607bf751cbf0e348c9738022d1e8f1ded89a3fb55082ee8a05c88

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:20.235642Z digest=sha256:0b4ca8f28b4ac41362dae2ec6cd71df293925ec0100628e5c8daed918942ace0

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:20.387936Z digest=sha256:f9dff79beab8911c614d1ae59cca6b3184c8c3da5138380f6fdc751c650ae5de

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:20.552453Z digest=sha256:252aa10ad82e783c8f8f5fe90b8c5f943560fc606000f920919b99e49b24df71

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:20.724598Z digest=sha256:d19eb3a68e7e5b5dc2a0f06909a68f17f48bc1dac8500493d581be851010d690

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:20.832705Z digest=sha256:89479399369b574d7fc370528968f9af8cca145d6e8a043ec50ed6699b23467a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:20.970592Z digest=sha256:134278ed399cd13927c28bacd7f352d11d3227a867ca0e9cfe26752ab07ab07f

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:21.097062Z digest=sha256:4d8ca7d2aa0054b2cfaf19bdbfd4b408837bc4007ed2f468f3697fb930b96d88

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:21.240154Z digest=sha256:e531b69854c46a132a32121a03f9d59b55287c89419a676ec00b80adca204a57

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:21.348873Z digest=sha256:ce57ccd82771cc1a9011be50f132346ad6988031d05b757fe0a8e0e4e69e60cf

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:21.486657Z digest=sha256:a68d42df73e7d5b55d45ff2f4560d359531ec7cc447169456a41102246f10b83

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:21.633903Z digest=sha256:2e439b12e23f233a70b9e398eac8007d902dc3fedd3d8df4002e458a5381304a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:21.741006Z digest=sha256:e8bc7422064faccd770f56de528d942532106ed0f435df4a56b7fdb79f8be9fd

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:21.875310Z digest=sha256:0a17eb80fa1ee6acade87ec7a19794f7875b86598979622c23159cccc7e56547

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:22.006067Z digest=sha256:cc97b4da63bea26a332c26207451815da7dd8ee869ea56a252285936bd053521

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:22.127100Z digest=sha256:0b79a6a0661a24f332130fec0a1179574fe23bed10ef246093a02cb93d64c3f3

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:22.238695Z digest=sha256:48b2394689df2642191fc466d05a3ff4815641bd1e69e0f8b9eb55f14904eaec

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:22.355847Z digest=sha256:121318f05c45bcc1d3d9d2a4466bce89e589b66e702dce0c1db055177d86b8ac

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:22.498733Z digest=sha256:bfe009242235ae5799370ddc3a30db055f448bb4c252f53c3ec209d4803929f7

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T11:14:22.641095Z digest=sha256:0cd861390da84e858ea46381d6c89faf77d402938bd3dfa2b16cbed7de05034b

Pith citing papers

No inbound Pith citation observations are available.