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Paper Citation Record · LEDGER

Reinforcement Learning based Interconnection Routing for Adaptive Traffic Optimization

As of 16 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:1908.04484.

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

pith.paper-citation-record.v1
1908.04484 v1

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:44:05.570595Z

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

6 of 6 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bfc44c89-d651-46a9-a050-ae40706cd68e · outbound

This paper cites Device placement optimization with reinforcement learning.

Reinforcement Learning based Interconnection Routing for Adaptive Traffic Optimization Device placement optimization with reinforcement learning

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:44:05.703093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:44:05.542734Z digest=sha256:22ddc8136628d2a42c356414f1a67e6dd22124d8a3cc2b1f0ecd43b562aa7a10

Observation 081af97b-cb67-4cac-89b3-075012ffb2c7 · outbound

This paper cites Reinforcement learning: An introduction.

Reinforcement Learning based Interconnection Routing for Adaptive Traffic Optimization Reinforcement learning: An introduction

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:44:05.686097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:44:05.548645Z digest=sha256:98d1231e2568b2a707d7372f32ac8b22897fea362c5f7ae2f893bd8f09d12ab9

Observation 89e1e408-6775-4f23-b4ca-b9753349085b · outbound

This paper cites OpenAI Gym.

Reinforcement Learning based Interconnection Routing for Adaptive Traffic Optimization OpenAI Gym

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-14T13:44:05.553589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:44:05.553589Z digest=sha256:e74554b9d15c7b400c78cb2af7fe15f089c3717aa28cb1e852fbe96cf733886c

Observation 22f11001-05c8-445d-b395-af59e1f00f0e · outbound

This paper cites Improving tcp congestion control with machine intelli- gence.

Reinforcement Learning based Interconnection Routing for Adaptive Traffic Optimization Improving tcp congestion control with machine intelli- gence

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:44:05.668729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:44:05.559431Z digest=sha256:cdfc5e2ece767c5823e72e78227283ec30b60afb05b030f5d5a1145a9d5bab64

Observation c6b20045-fe62-415c-a0e6-f33f6008cc7d · outbound

This paper cites The gem5 simulator.

Reinforcement Learning based Interconnection Routing for Adaptive Traffic Optimization The gem5 simulator

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:44:05.652290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:44:05.565005Z digest=sha256:855eac6f71cf69e60db9f8f13f5b06d00cb9e574e836a0c27d923b6a1bcbcba9

Observation e2caa76e-b87f-40b0-b245-daa081a9943c · outbound

This paper cites Garnet: A detailed on-chip network model inside a full- system simulator.

Reinforcement Learning based Interconnection Routing for Adaptive Traffic Optimization Garnet: A detailed on-chip network model inside a full- system simulator

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:44:05.635571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:44:05.570595Z digest=sha256:a2881b927904bc14d78abe99d57fe98db12da53892208045e19b15cde8e68000

Pith citing papers

No inbound Pith citation observations are available.