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Paper Citation Record · LEDGER

Computational Advantage in Hybrid Quantum Neural Networks: Myth or Reality?

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2412.04991.

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

pith.paper-citation-record.v1
2412.04991 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:25:26.442758Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T03:38:50.055275Z

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 da4516c7-ff6e-4540-8498-54774812c43a · inbound

HQNET: Harnessing Quantum Noise for Effective Training of Quantum Neural Networks in NISQ Era cites this paper.

HQNET: Harnessing Quantum Noise for Effective Training of Quantum Neural Networks in NISQ Era Computational Advantage in Hybrid Quantum Neural Networks: Myth or Reality?

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-24T03:38:50.058289Z

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=2026-05-24T03:37:54.406169Z digest=sha256:ee9388314b2150cc40fa5ccfd64b730fa96a4782f67d5a0304fe9732b786c311

Observation eaf82f02-7945-4508-b28c-237f6da9367a · inbound

A PennyLane-Centric Dataset to Enhance LLM-based Quantum Code Generation using RAG cites this paper.

A PennyLane-Centric Dataset to Enhance LLM-based Quantum Code Generation using RAG Computational Advantage in Hybrid Quantum Neural Networks: Myth or Reality?

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T01:42:23.237490Z

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=2026-05-23T01:41:25.033971Z digest=sha256:e5517618c165971252a64e4c4245a1e46b999e44033b39388c3f58bab196576a

Observation 3dce274c-e9ec-4cba-8e98-0c81b3761a6e · inbound

CircuitHunt: Automated Quantum Circuit Screening for Superior Credit-Card Fraud Detection cites this paper.

CircuitHunt: Automated Quantum Circuit Screening for Superior Credit-Card Fraud Detection Computational Advantage in Hybrid Quantum Neural Networks: Myth or Reality?

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T14:25:26.442758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:25:26.442758Z digest=sha256:85496ab4d42fb3a0406db949f08f52ddb3ffeff1d26cbded7e4728c738c68d5c

Observation 586849c4-3182-4f21-8b03-ee98c63c438c · inbound

MerLin: A Discovery Engine for Photonic and Hybrid Quantum Machine Learning cites this paper.

MerLin: A Discovery Engine for Photonic and Hybrid Quantum Machine Learning Computational Advantage in Hybrid Quantum Neural Networks: Myth or Reality?

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-16T02:30:32.313937Z

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=2026-05-16T02:28:17.666888Z digest=sha256:2041562092f82017f661d45cfa0ae80738bb8ddca7d8d77af1b04429f1f36653