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Paper Citation Record · LEDGER

The GAIN Model: A Nature-Inspired Neural Network Framework Based on an Adaptation of the Izhikevich Model

As of 8 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2506.04247.

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

pith.paper-citation-record.v1
2506.04247 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:03:59.492324Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

11 of 11 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 35237369-1d19-4bc0-b6e9-9c47fcfec3e6 · outbound

This paper cites an unresolved cited work.

The GAIN Model: A Nature-Inspired Neural Network Framework Based on an Adaptation of the Izhikevich Model Unresolved cited work

Reference 1

Resolution
verified exact
doi, observed 2026-08-07T12:04:00.633723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:03:58.226930Z digest=sha256:887000b865c7e76e654bfef081bb0ead4511d35e112d5086e96a65d4f698f289

Observation bc5c4e5a-dcc3-428d-851b-6e528aff828c · outbound

This paper cites an unresolved cited work.

The GAIN Model: A Nature-Inspired Neural Network Framework Based on an Adaptation of the Izhikevich Model Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T12:03:58.357022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:03:58.357022Z digest=sha256:caca76984c0bed6a9006c86f322c3f4c698fd44b7ae30315fa97838327c93ad6

Observation 9264b347-f8d0-4bdd-88e6-341741b0991e · outbound

This paper cites an unresolved cited work.

The GAIN Model: A Nature-Inspired Neural Network Framework Based on an Adaptation of the Izhikevich Model Unresolved cited work

Reference 3

Resolution
verified exact
doi, observed 2026-08-07T12:04:00.382148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:03:58.545101Z digest=sha256:6a2f65551e80a6f0841f6ae604f1e03bf2dda303dad8208344f126cd6498ebfd

Observation cf0f843e-45f8-4fef-b05c-2b9cebb54ec7 · outbound

This paper cites an unresolved cited work.

The GAIN Model: A Nature-Inspired Neural Network Framework Based on an Adaptation of the Izhikevich Model Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T12:03:58.654871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:03:58.654871Z digest=sha256:2c2159f6a63c123fdc11e3f771da8e668bd8046b931a3d3788e514304e50aa2b

Observation 9157e04f-88ff-42b2-af46-e70d10a30692 · outbound

This paper cites an unresolved cited work.

The GAIN Model: A Nature-Inspired Neural Network Framework Based on an Adaptation of the Izhikevich Model Unresolved cited work

Reference 5

Resolution
verified exact
doi, observed 2026-08-07T12:04:00.092180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:03:58.799799Z digest=sha256:17501c47be8280674160237a3f22b278f734e763a13afc01780a9d0bf7a4a96e

Observation 4fca3631-3220-4194-bbaa-e2ef134e5a93 · outbound

This paper cites an unresolved cited work.

The GAIN Model: A Nature-Inspired Neural Network Framework Based on an Adaptation of the Izhikevich Model Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T12:03:58.962021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:03:58.962021Z digest=sha256:1cd33c0753d9696e44a9d669d3d54bfa7bbeec38de9a9a7929883e2a4b581c4a

Observation 5267aa38-ee7f-4e5c-b7b2-6d23b9bfef2c · outbound

This paper cites L., & Huxley, A.

The GAIN Model: A Nature-Inspired Neural Network Framework Based on an Adaptation of the Izhikevich Model L., & Huxley, A

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T12:03:59.076729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:03:59.076729Z digest=sha256:e388200721f0f83eebd6955c24a16fe118e626db01565a2ba45cce9c422d9aee

Observation 17eb5534-039e-430b-8ed3-93ccb3f19c51 · outbound

This paper cites an unresolved cited work.

The GAIN Model: A Nature-Inspired Neural Network Framework Based on an Adaptation of the Izhikevich Model Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T12:03:59.189880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:03:59.189880Z digest=sha256:0a443ef6b3bb15a295bc2b9cc1a99a034caf80d5dc8e47f1a910a5888c20d4f1

Observation 968a757e-5c63-494f-bb17-d4aa34440731 · outbound

This paper cites an unresolved cited work.

The GAIN Model: A Nature-Inspired Neural Network Framework Based on an Adaptation of the Izhikevich Model Unresolved cited work

Reference 9

Resolution
verified exact
doi, observed 2026-08-07T12:03:59.777878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:03:59.270325Z digest=sha256:03de619ff82ac333caaaaa7334fa1cb7f56680156021dc105115cb286b57d88e

Observation aa67ec88-426a-49ac-9174-596c5f37e405 · outbound

This paper cites An overview of gradient descent optimization algorithms.

The GAIN Model: A Nature-Inspired Neural Network Framework Based on an Adaptation of the Izhikevich Model An overview of gradient descent optimization algorithms

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T12:03:59.387774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:03:59.387774Z digest=sha256:62c30e945e956353d169b036337c29f758efdb5cccba7a25baed8342c49426b2

Observation 3d41212d-64e2-4309-82d5-d4256d39cf9e · outbound

This paper cites a” and "b.

The GAIN Model: A Nature-Inspired Neural Network Framework Based on an Adaptation of the Izhikevich Model a” and "b

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T12:03:59.492324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:03:59.492324Z digest=sha256:2372778483ab189fb96409ab201d202c0d55f2439d7d78c5f6d510c859e268c2

Pith citing papers

No inbound Pith citation observations are available.