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Paper Citation Record · LEDGER

A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity

As of 14 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 2 inbound Pith citation observations for arXiv:2501.11407.

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

pith.paper-citation-record.v1
2501.11407 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:23:06.783387Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:29:46.382015Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-22T21:22:08.889669Z

Reference resolution

13 of 13 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8add62a2-d22f-4354-a032-731d873f3e24 · outbound

This paper cites EXODUS: Stable and Efficient Training of Spiking Neural Networks.

A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity EXODUS: Stable and Efficient Training of Spiking Neural Networks

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-10T18:23:07.421569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T18:23:06.694965Z digest=sha256:2cece6b24c6bc69efe3c75847f0a51f4d4e223cb73829edd534bdb8901aba9e4

Observation 16c1e722-0ec6-4fdc-b6e6-ac5ef24289f5 · outbound

This paper cites doi: 10.3389/fnins.2020.00424.

A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity doi: 10.3389/fnins.2020.00424

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T18:23:06.732099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:23:06.732099Z digest=sha256:3aa3840870b9e2a1857f80187549dd3807323659c9be89090e1bd499ccbeb0c5

Observation b2479d74-5831-42a6-b320-3876c077c6bc · outbound

This paper cites A Practical Sparse Approximation for Real Time Recurrent Learning.

A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity A Practical Sparse Approximation for Real Time Recurrent Learning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T18:23:06.739760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:23:06.739760Z digest=sha256:8aea78d7662572c1c3060f274d20463ad89c3a2291bfdf02e009487aed0ea625

Observation 9341222d-ed04-4623-b5f9-51e5b6766330 · outbound

This paper cites URL https://ieeexplore.

A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity URL https://ieeexplore

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T18:23:06.754749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:23:06.754749Z digest=sha256:713fc6702d005a60390ec6ce1a2db3c4b71ca0f7fd1f27d76513dc1ec872f66d

Observation 0f16bdbd-1ce7-40dd-8665-7333d1248356 · outbound

This paper cites URL https://doi.org/10.1038/s41467-024-52259-9.

A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity URL https://doi.org/10.1038/s41467-024-52259-9

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T18:23:06.761758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:23:06.761758Z digest=sha256:260f6014110eebba261b503ff278a14f22b940d0bb278f5efeb677e9cf0f7c34

Observation 06f84db1-5052-47f6-b6ca-0dfcb9912c82 · outbound

This paper cites Slax: A Composable JAX Library for Rapid and Flexible Prototyping of Spiking Neural Networks.

A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity Slax: A Composable JAX Library for Rapid and Flexible Prototyping of Spiking Neural Networks

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T18:23:07.066093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T18:23:06.777242Z digest=sha256:016946879975f5d4ec5bb7dc3049eb30b7781a77e5522e2790ccea6502c54133

Observation 0aed5bce-0c10-45ee-b2e9-8e49cb1091f5 · outbound

This paper cites Friedemann Zenke and Surya Ganguli.

A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity Friedemann Zenke and Surya Ganguli

Reference 13

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T18:23:07.032601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T18:23:06.783387Z digest=sha256:0539c6beb433bfee37095a3b1f657ac21aba3ef7c6f4ecdef235f533ebd69d97

Observation 55d249db-4df9-4074-a71b-263d4768fff0 · outbound

This paper cites Prospective and retrospective coding in cortical neurons.

A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity Prospective and retrospective coding in cortical neurons

Reference 2018

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T18:23:07.355926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T18:23:06.708217Z digest=sha256:cc25b9a5984ae91fd4765e8cb298e9eb881609cf730ecf648376ac122f5d7bdf

Observation d6ebd3c5-9873-4d52-a45f-e16139e76b21 · outbound

This paper cites doi: 10.7554/eLife.43299.

A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity doi: 10.7554/eLife.43299

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-10T18:23:06.748819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:23:06.748819Z digest=sha256:881c2bd013070e18e142dd6ef6293cf7127546911d47a30e269014900b3c9875

Observation 41b235a5-4cc0-4a76-9b59-00775535073e · outbound

This paper cites Online Spatio-Temporal Learning in Deep Neural Networks.

A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity Online Spatio-Temporal Learning in Deep Neural Networks

Reference 2020

Resolution
verified exact
local_arxiv, observed 2026-08-10T18:23:07.391982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T18:23:06.701476Z digest=sha256:4c342d5531f5414aea80e18f696d5ca3e6f90d3c10e9d7c3d9e54ef280f3e1b7

Observation 2d55d803-57cf-43e2-8d53-1a47b5f9443b · outbound

This paper cites Sparse Spiking Gradient Descent.

A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity Sparse Spiking Gradient Descent

Reference 2021

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T18:23:07.100303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T18:23:06.769899Z digest=sha256:bbcda1f0f7b4031c992ac2630d123fdfaa376a8a53826495f0012055767e93f3

Observation b39fb0ed-db26-440e-91ba-5dcc87337e89 · outbound

This paper cites URL https://www.science.org/doi/ abs/10.1126/sciadv.adi1480.

A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity URL https://www.science.org/doi/ abs/10.1126/sciadv.adi1480

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-10T18:23:06.719841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:23:06.719841Z digest=sha256:047ef6e0c5da0ca6736d46c41f4a331f18cb8dc1ab61b57aaa897ab1910babee

Observation 829bfb07-c13e-46e5-b3d1-870e6c129925 · outbound

This paper cites Intel Labs.

A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity Intel Labs

Reference 2024

Resolution
verified exact
doi, observed 2026-08-10T18:23:06.877222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T18:23:06.725296Z digest=sha256:469239828439e643589cb14f45ba4c9fb9b58f1c21bfaecabbf2951f1524460a

Pith citing papers

Observation 65e53801-b9b3-40d9-be55-f3ab9b729f04 · inbound

A Survey of Scaling in Large Language Model Reasoning cites this paper.

A Survey of Scaling in Large Language Model Reasoning A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity

Reference 119

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:22:08.892648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-22T21:20:07.238992Z digest=sha256:cd0c195ad46d52b52d0a3a85432ebcb335cc05783585f4d649c8a2aa306e2f63

Observation aecb07af-5b3d-418e-b5f9-6ff14d2e7e82 · inbound

Learning long range dependencies through time reversal symmetry breaking cites this paper.

Learning long range dependencies through time reversal symmetry breaking A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:46.382015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:46.382015Z digest=sha256:309284fdc3221642703a3bfa12c740f221121695c3c13bf15b45e4e6b5b762b8