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Paper Citation Record · LEDGER

Neural networks for option pricing and hedging: a literature review

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1911.05620.

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

pith.paper-citation-record.v1
1911.05620 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:18:58.707551Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:55:49.321432Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation deca2e7e-dcbf-4cf5-a4d2-c82e21958f4b · inbound

Robust financial calibration: a Bayesian approach for neural SDEs cites this paper.

Robust financial calibration: a Bayesian approach for neural SDEs Neural networks for option pricing and hedging: a literature review

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:55:49.324800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T20:53:56.033734Z digest=sha256:db245752306713e2aa6f0730ce60c10fe9e409653a68a39e5096c023360b1ace

Observation 050cccf0-67a9-41a2-92bd-f44f731d10cc · inbound

Option Pricing Using Ensemble Learning cites this paper.

Option Pricing Using Ensemble Learning Neural networks for option pricing and hedging: a literature review

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:58.707551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:58.707551Z digest=sha256:d93ba6f4e5f4df036e12c96354c31cba942e2352ae225d30479ea7d7f0d14e00

Observation bf9e26ad-1eb0-4a19-80f5-e15c9b82211f · inbound

Statistical Arbitrage in Options Markets by Graph Learning and Synthetic Long Positions cites this paper.

Statistical Arbitrage in Options Markets by Graph Learning and Synthetic Long Positions Neural networks for option pricing and hedging: a literature review

Reference 410

Resolution
unresolved
no resolver link, observed 2026-08-05T18:27:18.558583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:27:18.558583Z digest=sha256:044f70c2b1d59bd1813305b59ef3ac79ce81f48261c102ab010fc241d1affa64

Observation 6d3e7a84-a68b-4408-8414-d4aced79b6e6 · inbound

Deep Learning-Enhanced Calibration of the Heston Model: A Unified Framework cites this paper.

Deep Learning-Enhanced Calibration of the Heston Model: A Unified Framework Neural networks for option pricing and hedging: a literature review

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:50:52.279541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T03:46:34.011659Z digest=sha256:7357deeff5cf4d13bd493d1e82948a0a210c6ebc04df7b27f3240d1e72c9ea06

Observation ffb6ad7e-2edc-4f7b-9163-7a00721045e7 · inbound

On MUON optimization: From non-convergence to an error analysis with Polar Express and the Newton-Schulz polynomial from implementations cites this paper.

On MUON optimization: From non-convergence to an error analysis with Polar Express and the Newton-Schulz polynomial from implementations Neural networks for option pricing and hedging: a literature review

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T21:05:41.250713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:05:41.250713Z digest=sha256:dbfe830238dcabb9d8d2d3c6dc7e123ff54c48124f8ccbf654a24dcc8b9c5dde