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Paper Citation Record · LEDGER

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation

As of 7 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2406.13086.

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

pith.paper-citation-record.v1
2406.13086 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T23:36:28.578824Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

28 of 28 outbound references displayed

  • verified exact6
  • verified fuzzy22
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c2312e07-8ec9-43f8-8e03-6f61182ab71a · outbound

This paper cites Qonnx: Representing arbitrary-precision quantized neural networks.

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation Qonnx: Representing arbitrary-precision quantized neural networks

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T23:38:37.878605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:36:28.578824Z digest=sha256:6fa7738b83bffc69a00894232ee65465667f13574d7e1fbaf1481193a237abfe

Observation 3271789f-554f-4970-a661-de0264133884 · outbound

This paper cites Scalable methods for 8-bit training of neural networks.

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation Scalable methods for 8-bit training of neural networks

Reference 2

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verified fuzzy
raw_fallback, observed 2026-05-23T23:38:37.912901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:36:28.578824Z digest=sha256:8148549245c649364ec5642441fdd22eb5e31cb5b44a31a5631eb6fe524d35d4

Observation fda4f549-9f36-4ed5-94c2-b4925beddcc0 · outbound

This paper cites Training deep neural networks with low precision multiplications.

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation Training deep neural networks with low precision multiplications

Reference 3

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verified fuzzy
raw_fallback, observed 2026-05-23T23:38:37.872829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:36:28.578824Z digest=sha256:fed221944fd42c101936038130a8a7f959454a3a588ae12a4e5a2dd4da086854

Observation a3468043-8232-4a21-ac55-991a437e2066 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation Distilling the Knowledge in a Neural Network

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-23T23:38:37.451746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:36:28.578824Z digest=sha256:16d6c2c2cde267050df4812990bdc1eb5546c73ba635eccb8bae835e588612e5

Observation dd6f7880-72e2-42a9-8489-9493cea03308 · outbound

This paper cites Variational information distillation for knowledge transfer.

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation Variational information distillation for knowledge transfer

Reference 5

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verified fuzzy
raw_fallback, observed 2026-05-23T23:38:37.892443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:36:28.578824Z digest=sha256:d483276bc5fd350bb96b10a67069ef9c189c31907544198399310b01c5091f8c

Observation 7f42636b-e0b5-484c-8583-fbab4baf0f8e · outbound

This paper cites Apprentice: Using knowledge distillation techniques to improve low-precision network accuracy.

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation Apprentice: Using knowledge distillation techniques to improve low-precision network accuracy

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T23:38:37.882174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:36:28.578824Z digest=sha256:fe1000a5fda08c4c904748244fec21daaae10c2ba17ad935593ad9373353fc6b

Observation d5ed3eae-beba-453a-a23c-73f796737ccd · outbound

This paper cites Squeezenext: Hardware-aware neural network design.

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation Squeezenext: Hardware-aware neural network design

Reference 7

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raw_fallback, observed 2026-05-23T23:38:37.907466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:36:28.578824Z digest=sha256:4316dc2e384d0679f58a999af96ea27815b3a24726d066e6e12b9a06debc465c

Observation c2ac6b75-7654-4929-8c84-344c235508eb · outbound

This paper cites Solving critical events through mobile edge computing: An approach for smart cities.

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation Solving critical events through mobile edge computing: An approach for smart cities

Reference 8

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verified fuzzy
raw_fallback, observed 2026-05-23T23:38:37.897222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:36:28.578824Z digest=sha256:51efe1b36ba4bb852df3a7441b932316bba31414f65a7886701780a902053e18

Observation 4e4c2821-e365-4bce-8e18-63452625a275 · outbound

This paper cites Videoedge: Processing camera streams using hierarchical clusters.

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation Videoedge: Processing camera streams using hierarchical clusters

Reference 9

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verified fuzzy
raw_fallback, observed 2026-05-23T23:38:37.887489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:36:28.578824Z digest=sha256:b0677b8b14d4c4b7c6bf61396c734c98aac60af8a60dd75d5c479c97c5e14c16

Observation e1b09466-477f-43a8-b4e5-5459ad601a27 · outbound

This paper cites SeReMAS: Self-Resilient Mobile Autonomous Systems Through Predictive Edge Computing.

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation SeReMAS: Self-Resilient Mobile Autonomous Systems Through Predictive Edge Computing

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-23T23:38:37.431154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:36:28.578824Z digest=sha256:c461f109b04fa1e025802a2f7a604ed6c0157365ee4f4453e2d12d5b187b1eaa

Observation 01e9e92e-5d1b-44d6-9fb0-851802bea07b · outbound

This paper cites Split computing and early exiting for deep learning applications: Survey and research challenges.

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation Split computing and early exiting for deep learning applications: Survey and research challenges

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T23:38:37.868399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:36:28.578824Z digest=sha256:12178eb64679645d0a419dfe5e864cf2ef5e94a24a41c7d684fe64efa4e704cd

Observation 6c26ba15-6f66-4367-a492-2627e82741d2 · outbound

This paper cites Bottlefit: Learning compressed representations in deep neural networks for effective and efficient split computing.

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation Bottlefit: Learning compressed representations in deep neural networks for effective and efficient split computing

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T23:38:37.921843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:36:28.578824Z digest=sha256:4aa1baa71576a5ede38de2b2ff5be1ecfd697e618fd83320c83a4c7b7be34165

Observation 8e8f9a71-c891-47d1-9cd2-692adb4686c9 · outbound

This paper cites Airsim: High-fidelity visual and physical simulation for autonomous vehicles.

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation Airsim: High-fidelity visual and physical simulation for autonomous vehicles

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T23:38:37.858000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:36:28.578824Z digest=sha256:f446721d2a2f9b2ca714e88e78084cbff6468e506233bd0922bdac0a9736c9bb

Observation 2bbd3ee9-47e3-439f-8bdf-8c266eb2ccaf · outbound

This paper cites Edge computing-assisted dnn image recognition system with progressive image retransmission.

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation Edge computing-assisted dnn image recognition system with progressive image retransmission

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T23:38:37.862901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:36:28.578824Z digest=sha256:20be32a27bf0d40a5e0728b3b6045f635e34061836dca7f85624092e9b63cbfa

Observation 74406bb4-f603-49c0-b58d-2fc94a23c05f · outbound

This paper cites Neurosurgeon: Collaborative intelligence between the cloud and mobile edge.

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation Neurosurgeon: Collaborative intelligence between the cloud and mobile edge

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-23T23:38:37.045202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:36:28.578824Z digest=sha256:cc13c8799a345d7823120d5acd04ee54a97f344a185c96c9273a846f3c2edaec

Observation f0c55095-767f-477b-ac2c-5f1e0bac7e11 · outbound

This paper cites Slimmable Encoders for Flexible Split DNNs in Bandwidth and Resource Constrained IoT Systems.

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation Slimmable Encoders for Flexible Split DNNs in Bandwidth and Resource Constrained IoT Systems

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-23T23:38:37.436544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:36:28.578824Z digest=sha256:ad4d9f64b5ebd6dfa9fb5d24ef0407dd4c25b1a30bd6d14a621554de5c34b628

Observation 64c9e2b4-1e48-4631-b8bf-e22bc491c12f · outbound

This paper cites Group normalization.

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation Group normalization

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T23:38:37.902491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:36:28.578824Z digest=sha256:3e782c1b8dea7a370685ef97dd7e500579556918544e2e95de10d25a1484279b

Observation cfd8b291-c558-4f58-82e4-0605ac150aa3 · outbound

This paper cites Self- normalizing neural networks.

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation Self- normalizing neural networks

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T23:38:37.951422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:36:28.578824Z digest=sha256:4daa7b911d0977743ed3f0f4bf18b71c2e8e100c5a94086c8df616b529ed35d4

Observation eaeef36b-9576-474c-b29a-b21f0c850440 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation Adam: A Method for Stochastic Optimization

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-23T23:38:37.446747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:36:28.578824Z digest=sha256:8854bcb245059c6b7fc2107e60a9123ceb047e317cbef3b0f9514d84247b3049

Observation 97a61da9-9834-40b0-b769-05e7839388fb · outbound

This paper cites Early stopping-but when?.

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation Early stopping-but when?

Reference 20

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verified fuzzy
raw_fallback, observed 2026-05-23T23:38:37.932873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:36:28.578824Z digest=sha256:08d9c66daac8aefcd3415c1f9257fe1df10de946e5dd4b332c27c03f210ac8c9

Observation c5f34d95-d109-40d3-bbc5-1f1f555e27a2 · outbound

This paper cites Deep Learning using Rectified Linear Units (ReLU).

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation Deep Learning using Rectified Linear Units (ReLU)

Reference 21

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verified exact
local_arxiv, observed 2026-05-23T23:38:37.441611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:36:28.578824Z digest=sha256:bdaffddc2435dc362e9a2f836bca2a5b339363ba25f553ec72de5ed91f94c757

Observation 85df0f3a-7c1d-4761-bfe8-32309d75d504 · outbound

This paper cites Addressing function approxi- mation error in actor-critic methods.

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation Addressing function approxi- mation error in actor-critic methods

Reference 22

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verified fuzzy
raw_fallback, observed 2026-05-23T23:38:37.927112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:36:28.578824Z digest=sha256:5d97ecb97e296879440354b9fa3af025c3c0e63f6ad7984d597e4822c029f439

Observation c555989e-cf35-41f3-b8d3-fb8744dbcf7f · outbound

This paper cites Stable-baselines3: Reliable reinforcement learning implementa- tions.

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation Stable-baselines3: Reliable reinforcement learning implementa- tions

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T23:38:37.937789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:36:28.578824Z digest=sha256:23a1e263f29953c9d4ce0d23c8ae5d0abacffba6f48b73136d3bd6175938e6ce

Observation e7e55caf-3ec5-4ba6-abcc-38d95602a5ed · outbound

This paper cites Automatic differentiation in pytorch.

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation Automatic differentiation in pytorch

Reference 24

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verified fuzzy
raw_fallback, observed 2026-05-23T23:38:37.852058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:36:28.578824Z digest=sha256:a6834ca2db14dfdfbfb5701321fd6bbe0f7571eb62918f8decd3996a678a57bc

Observation fa6c5bff-a5a9-4152-abf9-50a2ed4eb128 · outbound

This paper cites Airsim drone racing lab.

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation Airsim drone racing lab

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T23:38:37.941854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:36:28.578824Z digest=sha256:2a074ed6dcd797a1294568347f11f731677a2725ea9d0d0269443cd8a688cc7d

Observation f170fc44-a0ae-488b-b527-d71b2b257966 · outbound

This paper cites Autonomous drone racing with deep reinforcement learning.

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation Autonomous drone racing with deep reinforcement learning

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T23:38:37.917333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:36:28.578824Z digest=sha256:1ca38a2de025ca358d479b8839f268f6e065a7062ddd0dcc4f06f281d97ce57f

Observation bcd9434c-f12c-4231-806a-c2d79204c95a · outbound

This paper cites Air learning: a deep reinforcement learning gym for autonomous aerial robot visual navigation.

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation Air learning: a deep reinforcement learning gym for autonomous aerial robot visual navigation

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T23:38:37.956125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:36:28.578824Z digest=sha256:34e39fac8ef7ddaeecc06462afd035011e468919674993d602aaeb72950deec5

Observation d6864bbd-42c7-4ba3-bf07-69dd1990a381 · outbound

This paper cites Autonomous navigation via deep reinforcement learning for resource constraint edge nodes using transfer learning.

NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation Autonomous navigation via deep reinforcement learning for resource constraint edge nodes using transfer learning

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T23:38:37.946683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T23:36:28.578824Z digest=sha256:6ab87df61d50be85992ac3af444fcf8e1dbf32640ef943530a31dafd03b3f8c1

Pith citing papers

No inbound Pith citation observations are available.