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Paper Citation Record · LEDGER

Toward Fully Neuromorphic Receivers for Ultra-Power Efficient Communications

As of 9 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:10:23.144846Z digest=sha256:2f42741668f640ab71e4c510e8ae6b106bc3859e8e30e86370e51dc1668fb906

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:c56b0d1fd457112056619ab313bd3cf4c911ae6d10b5762a64f985d32c3f0080

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:10:23.670603Z digest=sha256:0acec347243cd85ed18aaccadf88b217ac30d5e45ba8c4f23b600065613441b1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:10:23.901164Z digest=sha256:05cf42308bd99ffcce62ebea35992e2ef103f7d317c0b269fc7302f8baa1a9ce

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:10:24.091215Z digest=sha256:f51e5a491c3c2eb38c26a47b3aa04e6442aca6f9b2f568860d563d96476cf118

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:10:24.284421Z digest=sha256:9ec28bf07b1c44134712be11f95c38feea1a442eed160eef2bb63256ab92dc1a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:10:24.419675Z digest=sha256:cc01475d6ab0367fda3b3f674c70cb1b7d24fc1746596e3a2ec4e6176f68e3f5

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=sha256:367cba90b148d1524a8eb851064e5a0bde2e9e68cd76e8f4f4893559931dabc5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:10:24.667267Z digest=sha256:2922a602366eba397474e90388c1b791a7b8f079050983c01bb3666b11970d6f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:10:24.781646Z digest=sha256:57cad787f14e86cab5ff6efce607e4178f3591f76e3dd16609a3dd20a16da0c6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:10:24.907109Z digest=sha256:0040b25e795086c71a0e377feff0e6810be2404918610236d9b11790fe5c3196

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:10:25.086285Z digest=sha256:1d6ea6d6fe439f36dea8fdfa36608867b0cc56eb8cc2e68317b4bd539b92e148

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:10:25.201665Z digest=sha256:2cf6a05c50ecaf161653779cc84f14ad0064a507971c2b2b46a1a5e560104d25

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:10:25.364638Z digest=sha256:3cbc1d51501e7ac7715e2d8ed8e693cd4d2b76eb40df180fb791b1b6591eb40e

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=sha256:3c168cea46b140f9e82032aee98b79de30e2da7e3824e2e7d56b7c734c61c344

Pith citing papers

No inbound Pith citation observations are available.