Paper Citation Record · LEDGER

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents

As of 18 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2412.04847.

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

pith.paper-citation-record.v1
2412.04847 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:17:02.083542Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T19:45:07.172201Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T19:47:01.194694Z

Reference resolution

35 of 35 outbound references displayed

verified exact1
verified fuzzy18
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7b642d87-aee5-4525-9f85-9a712feb115d · outbound

This paper cites Controlled forgetting: Tar- geted stimulation and dopaminergic plasticity modulation for unsupervised lifelong learning in spiking neural networks.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Controlled forgetting: Tar- geted stimulation and dopaminergic plasticity modulation for unsupervised lifelong learning in spiking neural networks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:17:03.234654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 97a24863-aaa5-4fd5-940f-15b6734421a1 · outbound

This paper cites Em- bodied neuromorphic intelligence.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Em- bodied neuromorphic intelligence

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:17:03.214720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a2b9c66d-94ca-49c8-9be3-ea9c89da0944 · outbound

This paper cites Deep Reinforcement Learning with Spiking Q-learning.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Deep Reinforcement Learning with Spiking Q-learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T21:17:01.598346Z

Source-reported events for the cited work

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Observation b4cef3a6-9d12-4b22-a80c-f05458183363 · outbound

This paper cites Ob- ject detection with spiking neural networks on automotive event data.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Ob- ject detection with spiking neural networks on automotive event data

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:17:03.185866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 65f10946-184c-4f7c-9617-20f1bc907467 · outbound

This paper cites The mnist database of handwritten digit images for machine learning research [best of the web].

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents The mnist database of handwritten digit images for machine learning research [best of the web]

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:17:03.167490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 975bff60-01f9-4c4b-9890-ba1ace2b8a86 · outbound

This paper cites Avoiding catastrophe: Active dendrites enable multi-task learning in dynamic environments.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Avoiding catastrophe: Active dendrites enable multi-task learning in dynamic environments

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:17:03.142459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b689611b-f87b-4905-8b1e-677fd2b4897c · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Overcoming catastrophic forgetting in neural networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T21:17:01.684751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43a974cf-0f21-488b-9e0b-ced4299a4911 · outbound

This paper cites The cifar-10 dataset.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents The cifar-10 dataset

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:17:03.119804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 55fc2859-d4aa-4fb1-bda9-b12c13922e0f · outbound

This paper cites Lifelong Learning with Dynamically Expandable Networks.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Lifelong Learning with Dynamically Expandable Networks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T21:17:01.737641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ea5db28-c5b5-40d4-9812-b9d0aa5e1a68 · outbound

This paper cites Gradient Episodic Memory for Continual Learning.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Gradient Episodic Memory for Continual Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T21:17:01.751940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b7854c3-586a-4796-be36-40cb882e2e8a · outbound

This paper cites Eeg-based emotion classification using spiking neural networks.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Eeg-based emotion classification using spiking neural networks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:17:03.093552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 28d21854-9cda-4abf-97af-17386e8da82f · outbound

This paper cites Online continual learning in image classi- fication: An empirical survey.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Online continual learning in image classi- fication: An empirical survey

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:17:03.067220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 983ffd44-9992-4e2b-9f55-68a8d2c94e9b · outbound

This paper cites an unresolved cited work.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-11T21:17:03.045461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3301198c-f6f8-4f0d-91e9-9fefb98cc05c · outbound

This paper cites The stability-plasticity dilemma: Investigating the contin- uum from catastrophic forgetting to age-limited learning ef- fects.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents The stability-plasticity dilemma: Investigating the contin- uum from catastrophic forgetting to age-limited learning ef- fects

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:17:03.018676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 64156cc0-bef9-4587-8439-52ccd876e8af · outbound

This paper cites Continual Learning with Neuromorphic Computing: Foundations, Methods, and Emerging Applications.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Continual Learning with Neuromorphic Computing: Foundations, Methods, and Emerging Applications

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T21:17:01.809213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d373f51b-9921-4943-a0cb-bfce4d0caba2 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Playing Atari with Deep Reinforcement Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T21:17:01.821398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c685c5f-4a29-4e6c-931f-1b1de5702510 · outbound

This paper cites Human-level control through deep reinforcement learning.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Human-level control through deep reinforcement learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:17:02.984033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 390a2878-1717-405a-a2b5-8af8454c7d28 · outbound

This paper cites Active dendrites enable efficient continual learning in time-to-first-spike neural networks, 2024.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Active dendrites enable efficient continual learning in time-to-first-spike neural networks, 2024

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:17:02.951906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b131a78d-ea4a-49dd-8d43-9a4d8c3a2128 · outbound

This paper cites an unresolved cited work.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-11T21:17:02.926408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1a826858-e566-412d-ba4d-2367eb90b1c9 · outbound

This paper cites Q-spinn: A framework for quantizing spiking neural net- works.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Q-spinn: A framework for quantizing spiking neural net- works

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:17:02.906212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9f09e377-bd62-4947-8e39-e860510efc03 · outbound

This paper cites Spikedyn: A framework for energy-efficient spiking neural networks with continual and unsupervised learning capabil- ities in dynamic environments.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Spikedyn: A framework for energy-efficient spiking neural networks with continual and unsupervised learning capabil- ities in dynamic environments

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:17:02.874243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 53b2b5db-1137-47ad-b554-e0b7bdcbff82 · outbound

This paper cites lpspikecon: Enabling low-precision spiking neural network processing for efficient unsupervised continual learning on autonomous agents.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents lpspikecon: Enabling low-precision spiking neural network processing for efficient unsupervised continual learning on autonomous agents

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:17:02.832934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 77df742c-164f-4744-876c-1422fde18c66 · outbound

This paper cites Snn4agents: A framework for devel- oping energy-efficient embodied spiking neural networks for autonomous agents.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Snn4agents: A framework for devel- oping energy-efficient embodied spiking neural networks for autonomous agents

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:17:02.792427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c29ababe-3199-4ddc-8cbc-195613dceea8 · outbound

This paper cites Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-11T21:17:02.467383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 446b584e-9fb8-4d38-8603-58d10d1eb6a0 · outbound

This paper cites A generalist agent, 2022.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents A generalist agent, 2022

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:17:02.766198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6efcc17c-822d-4882-ae42-aaf5fcc41a60 · outbound

This paper cites Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T21:17:01.945270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1e49055-c40f-480b-aed4-f12cc234e6ed · outbound

This paper cites Overcoming catastrophic forgetting with hard attention to the task.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Overcoming catastrophic forgetting with hard attention to the task

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T21:17:01.962402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bed929ed-2feb-4e25-9a54-4605ac21236a · outbound

This paper cites Continual Learning with Deep Generative Replay.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Continual Learning with Deep Generative Replay

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T21:17:01.979640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93501dce-6bb5-4f92-a496-7ee3a7ad24a9 · outbound

This paper cites Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T21:17:01.988107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08d4577b-842d-4340-9db9-09a76fa86770 · outbound

This paper cites Multi-Task Reinforcement Learning with Context-based Representations.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Multi-Task Reinforcement Learning with Context-based Representations

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T21:17:01.996960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1d040bb-e934-4621-a0a0-7d202a93e42a · outbound

This paper cites Distral: Robust Multitask Reinforcement Learning.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Distral: Robust Multitask Reinforcement Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T21:17:02.022834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03a440ed-dfb4-4cf3-b617-6acb9dc772fe · outbound

This paper cites an unresolved cited work.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-11T21:17:02.743005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 79b59914-2dd2-49f3-8579-112bd109f5ac · outbound

This paper cites A comprehensive survey of continual learning: Theory, method and application.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents A comprehensive survey of continual learning: Theory, method and application

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:17:02.715841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 24ea13c7-3b15-4c21-a562-50b13f2354e5 · outbound

This paper cites Dueling network architectures for deep reinforcement learning.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Dueling network architectures for deep reinforcement learning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:17:02.686149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 945ad9fb-030f-405d-bc58-7b96779c2f67 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T21:17:02.083542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation ca77993c-2ec2-49c3-a703-3b37af9ad544 · inbound

Scalable Multi-Task Learning through Spiking Neural Networks with Adaptive Task-Switching Policy for Intelligent Autonomous Agents cites this paper.

Scalable Multi-Task Learning through Spiking Neural Networks with Adaptive Task-Switching Policy for Intelligent Autonomous Agents MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-15T01:20:44.624035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.