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Paper Citation Record · LEDGER

Toward Fully Neuromorphic Receivers for Ultra-Power Efficient Communications

As of 8 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2505.22508.

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

pith.paper-citation-record.v1
2505.22508 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:10:25.364638Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 984bde02-8b76-4194-afc1-eeff07b59f21 · outbound

This paper cites Opportunities for neuromorphic computing algorithms and applications,.

Toward Fully Neuromorphic Receivers for Ultra-Power Efficient Communications Opportunities for neuromorphic computing algorithms and applications,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:10:29.089672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:10:23.144846Z digest=sha256:327558821535d3afd535e8854ba313fc25bf91d022dc24091856ffae359f2733

Observation dbf09226-9dc3-4e1e-b4b0-d596d62ee963 · outbound

This paper cites A Survey of Neuromorphic Computing and Neural Networks in Hardware.

Toward Fully Neuromorphic Receivers for Ultra-Power Efficient Communications A Survey of Neuromorphic Computing and Neural Networks in Hardware

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T13:10:23.411768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:10:23.411768Z digest=sha256:c491a2e754e05772e12c6657d47aab331595cb29356a5d0cc56cbe53fe91262c

Observation e692a168-2fc6-46ed-abd8-264359368e40 · outbound

This paper cites Neuromorphic In-Context Learning for Energy-Efficient MIMO Symbol Detection,.

Toward Fully Neuromorphic Receivers for Ultra-Power Efficient Communications Neuromorphic In-Context Learning for Energy-Efficient MIMO Symbol Detection,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:10:28.821232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:10:23.670603Z digest=sha256:b002ed09feee93e124616bd0ed029697dfca55fc37c906ef54e85461e85ce943

Observation b2c1cd14-8a8f-4d49-b950-de8220ffc23c · outbound

This paper cites Neu- roMIMO: Employing the Neuromorphic Computing Principles to Achieve Power-Efficient MU-MIMO Detection,.

Toward Fully Neuromorphic Receivers for Ultra-Power Efficient Communications Neu- roMIMO: Employing the Neuromorphic Computing Principles to Achieve Power-Efficient MU-MIMO Detection,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:10:28.591248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:10:23.901164Z digest=sha256:cdb381e624444d6b0021a8280342e490d59eb24e57e6c5582afb6c1cde2740dd

Observation 584cbccd-8041-4df5-8990-15a4eec55a40 · outbound

This paper cites Towards Neuromorphic Processing for Next-Generation MU-MIMO Detection,.

Toward Fully Neuromorphic Receivers for Ultra-Power Efficient Communications Towards Neuromorphic Processing for Next-Generation MU-MIMO Detection,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:10:28.352460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:10:24.091215Z digest=sha256:3a3ad54564c61752270a1a9ed9d25b4f982aeac65627f1f54102c4cd3d8bb834

Observation 5b767581-067e-4a19-949d-4630ecfc2ebd · outbound

This paper cites TrueNorth: Design and tool flow of a 65 mW 1 mil- lion neuron programmable neurosynaptic chip,.

Toward Fully Neuromorphic Receivers for Ultra-Power Efficient Communications TrueNorth: Design and tool flow of a 65 mW 1 mil- lion neuron programmable neurosynaptic chip,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:10:28.026108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:10:24.284421Z digest=sha256:eddeaa53f0ccda831c706d2a36a69abd18b971a85b1214b530eb5306fec3a943

Observation 6383f2a8-4fdd-4c97-b7eb-200d216a66c8 · outbound

This paper cites A review of spiking neuromorphic hardware communication systems,.

Toward Fully Neuromorphic Receivers for Ultra-Power Efficient Communications A review of spiking neuromorphic hardware communication systems,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:10:27.793797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:10:24.419675Z digest=sha256:23ef4d9ccc3818ede223da57d6941c7a0a81875fc446a878630deeda05a8f438

Observation 990bcd59-773f-4273-855d-cab626a04444 · outbound

This paper cites Loihi: A neuromorphic manycore processor with on-chip learning,.

Toward Fully Neuromorphic Receivers for Ultra-Power Efficient Communications Loihi: A neuromorphic manycore processor with on-chip learning,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T13:10:24.504423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:10:24.504423Z digest=sha256:4860afacfd6732c8bd9c49746794502185c9b9a4f094e77cdb0dc8ddeedfa5b9

Observation 7254fc09-7465-48bb-a680-6a4568003b1a · outbound

This paper cites A biomimetic neural encoder for spiking neural network,.

Toward Fully Neuromorphic Receivers for Ultra-Power Efficient Communications A biomimetic neural encoder for spiking neural network,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:10:27.498640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:10:24.667267Z digest=sha256:822d86c67109a1630ea18f7f07b04866d59dae8da4fcc7f53143c54fb7f31667

Observation f59a3455-25df-4df6-82be-728221b83538 · outbound

This paper cites An energy and area-efficient spike frequency adaptable LIF neuron for spiking neural networks,.

Toward Fully Neuromorphic Receivers for Ultra-Power Efficient Communications An energy and area-efficient spike frequency adaptable LIF neuron for spiking neural networks,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:10:27.139192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:10:24.781646Z digest=sha256:2b6c02b2d56b3c451cfdc094369e37c84672f5f2af3c7034483d3a12a1b85b20

Observation e24d10c5-40c4-4def-8ade-cbb031a4fba1 · outbound

This paper cites DigiLogue: Ultra-Fast and Ultra- Power-Efficient Signal Processing for Tbps Wireless Systems,.

Toward Fully Neuromorphic Receivers for Ultra-Power Efficient Communications DigiLogue: Ultra-Fast and Ultra- Power-Efficient Signal Processing for Tbps Wireless Systems,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:10:26.625289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:10:24.907109Z digest=sha256:8ee9735b2a9724103b9730c4d4b5afbb9158e3179ec2b2df397a0cb4aff3a517

Observation f8b8c77c-f898-42f3-8e3c-0db7a0b0dd96 · outbound

This paper cites A 4-fJ/Spike Artificial Neuron in 65 nm CMOS Technology,.

Toward Fully Neuromorphic Receivers for Ultra-Power Efficient Communications A 4-fJ/Spike Artificial Neuron in 65 nm CMOS Technology,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:10:26.359186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:10:25.086285Z digest=sha256:af4c987912456a0cc1d1e5cadb103f0109031659e7aa2c6abb422472930ea2ef

Observation 24ec6bb3-54f6-4df9-9a7a-5e60ad7c8a5d · outbound

This paper cites Optical synaptic devices with ultra-low power consumption for neuromorphic comput- ing,.

Toward Fully Neuromorphic Receivers for Ultra-Power Efficient Communications Optical synaptic devices with ultra-low power consumption for neuromorphic comput- ing,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:10:26.043624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:10:25.201665Z digest=sha256:f2013e199938b0fcc3f8474930afbfde192d3036f8865e6f51b78e2a74cd7335

Observation 69c80499-a5fa-4427-898d-d216c5f253b4 · outbound

This paper cites Photonic spiking neural networks with highly efficient training protocols for ul- trafast neuromorphic computing systems,.

Toward Fully Neuromorphic Receivers for Ultra-Power Efficient Communications Photonic spiking neural networks with highly efficient training protocols for ul- trafast neuromorphic computing systems,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:10:25.735378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:10:25.364638Z digest=sha256:1146764b6ea40eed95260f40576d427b3519c6c014c767041304c7071a8a0df3

Observation bf8a32eb-a8a0-44d6-900f-f29d04637adb · outbound

This paper cites an unresolved cited work.

Toward Fully Neuromorphic Receivers for Ultra-Power Efficient Communications Unresolved cited work

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T13:10:23.269496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:10:23.269496Z digest=sha256:49d248e3d850950ff98399fc5887ed6967b150f8bc02d0ddba60eb2ea17de8e8

Pith citing papers

No inbound Pith citation observations are available.