Pith. sign in

Paper Citation Record · LEDGER

Comparative Study of Neural Network Methods for Solving Topological Solitons

As of 13 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2411.14942.

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

pith.paper-citation-record.v1
2411.14942 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:45:09.237413Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:45:09.167903Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T14:45:09.273896Z

Reference resolution

16 of 16 outbound references displayed

  • verified exact1
  • verified fuzzy9
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 473379b7-f6d1-4f73-a74f-66b918dd8aaa · outbound

This paper cites Comparative Study of Neural Network Methods for Solving Topological Solitons.

Comparative Study of Neural Network Methods for Solving Topological Solitons Comparative Study of Neural Network Methods for Solving Topological Solitons

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-12T14:45:09.280879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:45:09.167903Z digest=sha256:551c73f640c8b8ae0a04c0f2294709028ea326bc49d7a6b119a7a81f2d84839b

Observation d3e9d568-b76a-4ff0-af92-67ecf1c9df95 · outbound

This paper cites an unresolved cited work.

Comparative Study of Neural Network Methods for Solving Topological Solitons Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-12T14:45:09.497849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:45:09.173468Z digest=sha256:bce2d70ea4b4787cbe3ca8d7f31be82217da0b76e97d24ac85bb3eca3bd01aa0

Observation 0dc1caa0-361e-46dc-bb9d-6d8fd74eb5a8 · outbound

This paper cites an unresolved cited work.

Comparative Study of Neural Network Methods for Solving Topological Solitons Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-12T14:45:09.482152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:45:09.178288Z digest=sha256:804ca98c8066f47bba68e223b6d2499eb8ea99bf79a65cb3a7526a7257d50b97

Observation 89135e24-4d6c-4ab7-b743-f678d072cf08 · outbound

This paper cites an unresolved cited work.

Comparative Study of Neural Network Methods for Solving Topological Solitons Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-12T14:45:09.466087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:45:09.182620Z digest=sha256:716fe2fa83a0acbf0de1743dab73e7407c53f0303d6d21938d2bc23beac3b802

Observation 32977914-dca7-464d-beda-3f29f199d4ac · outbound

This paper cites Topological Solitons.

Comparative Study of Neural Network Methods for Solving Topological Solitons Topological Solitons

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:45:09.450805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:45:09.187048Z digest=sha256:3a93f722cde5a8b7a4c62ba437828bd40546acd965a21af90923ad2fbc3bd766

Observation 10f491c0-666f-44bf-8d57-4627b6e8f0a9 · outbound

This paper cites Drazin and Robin S.

Comparative Study of Neural Network Methods for Solving Topological Solitons Drazin and Robin S

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:45:09.435561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:45:09.191172Z digest=sha256:c92ce7a8955dd462ed05eebe4e032d5752804887cb6a1cc244056ba01dce9db3

Observation 87ab5270-5d6c-4402-ad01-f5dfd74db851 · outbound

This paper cites The Nonlinear Universe: Chaos, Emergence, Life.

Comparative Study of Neural Network Methods for Solving Topological Solitons The Nonlinear Universe: Chaos, Emergence, Life

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:45:09.421061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:45:09.195505Z digest=sha256:2ee63239fca1c697416d516079f3ae97d068641dce6651af8d7ad3e9504e78e6

Observation 3020dc65-bc60-4565-b7b2-9deb8c42be5f · outbound

This paper cites Multilayer feedforward networks are universal approximators.

Comparative Study of Neural Network Methods for Solving Topological Solitons Multilayer feedforward networks are universal approximators

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T14:45:09.199734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:45:09.199734Z digest=sha256:3092500ad88f924422286839596b008bb8c2963f0b7f004fb1613009fcec3ee6

Observation 7998a2cf-dbb2-4a2a-89b1-28c61661faf5 · outbound

This paper cites Neural ordinary differential equations.

Comparative Study of Neural Network Methods for Solving Topological Solitons Neural ordinary differential equations

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T14:45:09.204161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:45:09.204161Z digest=sha256:599611a2dfd97e4991cf2f189f09d14dd74f184837cc9abfb3a649784f54ea0c

Observation 1ddb4c02-ebad-4bc5-a92d-948d460fd3e4 · outbound

This paper cites Method to solve quantum few-body problems with artificial neural networks.

Comparative Study of Neural Network Methods for Solving Topological Solitons Method to solve quantum few-body problems with artificial neural networks

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:45:09.384728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:45:09.209542Z digest=sha256:4fd41f94e1c57e8eaf93bf46d27fabceb6749cf516d4db7b3d283695f84e3803

Observation 00a5e7f1-565c-4379-8fd0-4483f40b6339 · outbound

This paper cites Ab initio solution of the many-electron schr¨ odinger equation with deep neural networks.

Comparative Study of Neural Network Methods for Solving Topological Solitons Ab initio solution of the many-electron schr¨ odinger equation with deep neural networks

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:45:09.370319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:45:09.214248Z digest=sha256:c39b4fbfc3b53c899c0dbae2b93e4d9b938b22269bdf574c429a07a330a0b3f8

Observation 1447540d-7d68-4e19-bbdd-5b278c31d6f6 · outbound

This paper cites Deep-neural-network solution of the electronic schr¨ odinger equation.Nature Chemistry, 12(10):891–897, 2020.

Comparative Study of Neural Network Methods for Solving Topological Solitons Deep-neural-network solution of the electronic schr¨ odinger equation.Nature Chemistry, 12(10):891–897, 2020

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:45:09.354570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:45:09.218920Z digest=sha256:52f312f542f7abb11143819d54d9bcc682bff4210001bd45c18c285dcfd1cb6d

Observation 2f8ebdc4-84b9-4aee-b610-81ca022c1a0c · outbound

This paper cites Multi-body wave function of ground and low-lying excited states using unornamented deep neural networks.

Comparative Study of Neural Network Methods for Solving Topological Solitons Multi-body wave function of ground and low-lying excited states using unornamented deep neural networks

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:45:09.338671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:45:09.223653Z digest=sha256:aee6655ace2c4e83ad947d0e3fca668fd3feb7dd05cdceaa92dfd164903a5664

Observation 932f51cb-c42b-4044-9c9d-08e8a2e3ec39 · outbound

This paper cites Deep learning and the ads/cft correspondence.

Comparative Study of Neural Network Methods for Solving Topological Solitons Deep learning and the ads/cft correspondence

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:45:09.323079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:45:09.228240Z digest=sha256:af27dd2614b512f6c3b789f82dbcc63b2cce3cbde4294fc51df916baa671220f

Observation 560a1ff3-ac2c-4af1-8110-edacbf637ee7 · outbound

This paper cites Karniadakis.

Comparative Study of Neural Network Methods for Solving Topological Solitons Karniadakis

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T14:45:09.232982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:45:09.232982Z digest=sha256:ac97b075546ed371bc856cb4317755c701287fc61c9a9eb72f3fcd4c4c9587d9

Observation 36740948-3a41-4259-b154-8e9b65ec6140 · outbound

This paper cites Pinns-tf2: Fast and user-friendly physics-informed neural networks in tensorflow v2, 2023.

Comparative Study of Neural Network Methods for Solving Topological Solitons Pinns-tf2: Fast and user-friendly physics-informed neural networks in tensorflow v2, 2023

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:45:09.297021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:45:09.237413Z digest=sha256:29c3cabbfcde0cdf77859d7ed433958d23e46652224c82586cb5d228b3d910ab

Pith citing papers

Observation 473379b7-f6d1-4f73-a74f-66b918dd8aaa · inbound

Comparative Study of Neural Network Methods for Solving Topological Solitons cites this paper.

Comparative Study of Neural Network Methods for Solving Topological Solitons Comparative Study of Neural Network Methods for Solving Topological Solitons

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-12T14:45:09.280879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:45:09.167903Z digest=sha256:551c73f640c8b8ae0a04c0f2294709028ea326bc49d7a6b119a7a81f2d84839b