Paper Citation Record · LEDGER

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers

As of 15 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2507.02364.

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

pith.paper-citation-record.v1
2507.02364 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:36:46.250318Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

37 of 37 outbound references displayed

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verified fuzzy29
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 528bf655-b90c-4e02-ae4d-54b15ee00b05 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:51.642929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4f160cb9-00ed-457f-8950-27e28a5f1b3b · outbound

This paper cites Improving Language Understanding by Generative Pre-Training,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers Improving Language Understanding by Generative Pre-Training,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:51.310952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 958781e6-f138-4089-887e-48726cb51d96 · outbound

This paper cites Attention is All You Need,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers Attention is All You Need,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:51.061094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e6783fe1-78b3-4af7-ab5f-5771a3a58bbf · outbound

This paper cites ALBERT: A Lite BERT for Self-supervised Learning of Language Representations,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers ALBERT: A Lite BERT for Self-supervised Learning of Language Representations,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:50.882920Z

Source-reported events for the cited work

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Observation fd1b8fc8-5505-4cfb-80f7-1279085b2f40 · outbound

This paper cites Q-BERT: Hessian Based Ultra Low Precision Quan- tization of BERT,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers Q-BERT: Hessian Based Ultra Low Precision Quan- tization of BERT,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:50.735229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation aa13fc0a-4b9f-4526-99da-16ad114c65f9 · outbound

This paper cites DistilBERT, a Distilled Version of BERT: Smaller, Faster, Cheaper and Lighter,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers DistilBERT, a Distilled Version of BERT: Smaller, Faster, Cheaper and Lighter,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:50.609746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 34c71715-fa41-4b04-9cb1-3f4b3f4f0efa · outbound

This paper cites Patient Knowledge Distillation for BERT Model Compression,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers Patient Knowledge Distillation for BERT Model Compression,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:50.446369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0e1deae1-a96a-42ee-b3c4-dce0a40d210d · outbound

This paper cites MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:50.340957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 92e4d209-8be5-4e16-8aa9-37d73a018f13 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers LoRA: Low-Rank Adaptation of Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T20:36:44.310787Z

Source-reported events for the cited work

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Observation ef3919a1-d378-48e7-b722-693e948ecb00 · outbound

This paper cites Parameter-Efficient Transfer Learning for NLP,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers Parameter-Efficient Transfer Learning for NLP,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:50.193791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 06493a5e-1b0d-450b-8f4b-c03744043b78 · outbound

This paper cites A Variational Eigenvalue Solver on a Photonic Quantum Processor,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers A Variational Eigenvalue Solver on a Photonic Quantum Processor,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:50.032201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f4cfb8b4-1357-4fdd-8c2d-71e4cc7615b8 · outbound

This paper cites Quantum Self-Attention Neural Networks for Text Classification,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers Quantum Self-Attention Neural Networks for Text Classification,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:49.877280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9a7f843c-3a56-4f7b-87bb-ebaa3afa7257 · outbound

This paper cites Quantum Vision Transformers,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers Quantum Vision Transformers,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T20:36:44.699678Z

Source-reported events for the cited work

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Observation 948f5b19-9feb-4a43-8a99-10131c07788b · outbound

This paper cites Quantum Computing with Qiskit,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers Quantum Computing with Qiskit,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:49.749108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e1a472c4-344f-4beb-a891-a2e0f5ff9457 · outbound

This paper cites PyTorch: An Imperative Style, High- Performance Deep Learning Library,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers PyTorch: An Imperative Style, High- Performance Deep Learning Library,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:49.599691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9b6ae8b5-9001-4e7b-b4ba-dfbe7b7c34ef · outbound

This paper cites Quantum Computing in the NISQ Era and Beyond,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers Quantum Computing in the NISQ Era and Beyond,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:49.457641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c90040c0-c9fb-46ce-acdb-f7f1f2b65ba0 · outbound

This paper cites MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:49.233491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 85aadf26-5214-4c2a-b112-532feaf9e1a6 · outbound

This paper cites TinyBERT: Distilling BERT for Natural Language Understanding,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers TinyBERT: Distilling BERT for Natural Language Understanding,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:49.066402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e1110df6-8703-4185-8f11-d6e8d8292ddf · outbound

This paper cites Supervised Learning with Quantum- enhanced Feature Spaces,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers Supervised Learning with Quantum- enhanced Feature Spaces,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:48.870150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 678d4324-a866-449f-bea6-2ef7d7359d09 · outbound

This paper cites Classification with Quantum Neural Networks on Near Term Processors.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers Classification with Quantum Neural Networks on Near Term Processors

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T20:36:45.286794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdbde046-40e8-4aee-9ace-cea59b5326c7 · outbound

This paper cites Quanvolutional Neural Networks: Powering Image Recognition with Quantum Circuits,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers Quanvolutional Neural Networks: Powering Image Recognition with Quantum Circuits,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:48.624041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 057dcb9b-8b08-4834-b1c1-e117b3e2f4dc · outbound

This paper cites Foundations for Near-Term Quantum Natural Language Processing.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers Foundations for Near-Term Quantum Natural Language Processing

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T20:36:45.375653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70f0e1e9-d2be-46da-8d90-627d33d660c5 · outbound

This paper cites The Dawn of Quantum Natural Language Processing,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers The Dawn of Quantum Natural Language Processing,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:48.479911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0b3a4898-ade5-40a4-9849-7df8f9e68882 · outbound

This paper cites Cost Function Dependent Barren Plateaus in Shallow Parametrized Quantum Circuits,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers Cost Function Dependent Barren Plateaus in Shallow Parametrized Quantum Circuits,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:48.280009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 27590df4-685e-4efd-afa7-a5ea59e143ac · outbound

This paper cites Absence of Barren Plateaus in Quantum Convolutional Neural Networks,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers Absence of Barren Plateaus in Quantum Convolutional Neural Networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:48.102139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation be257a53-c18a-4060-9156-35a0b5cd3973 · outbound

This paper cites Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:47.867875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 343d9f91-8f88-4a3f-9350-8b0c8bc1db61 · outbound

This paper cites DBpedia-Entity V2: A Test Collection for Entity Search,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers DBpedia-Entity V2: A Test Collection for Entity Search,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:47.665509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4b032687-7e12-42f5-aa60-6fc2f7f1174d · outbound

This paper cites MTEB: Massive Text Embedding Benchmark.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers MTEB: Massive Text Embedding Benchmark

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T20:36:45.741141Z

Source-reported events for the cited work

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Observation 2275fc31-732d-48c8-8c54-46dc8e0b0da4 · outbound

This paper cites Well-Read Students Learn Better: On the Importance of Pre-training Compact Models.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers Well-Read Students Learn Better: On the Importance of Pre-training Compact Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T20:36:45.789946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1debd108-568f-426f-a84c-8fe4d9ad088e · outbound

This paper cites Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:47.411669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e2aef60b-0553-4fb3-8aad-e9a7e97cb8f9 · outbound

This paper cites Transformers: State- of-the-Art Natural Language Processing,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers Transformers: State- of-the-Art Natural Language Processing,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:47.217751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 027b3bbe-ce98-4a42-97b2-01615bf988f9 · outbound

This paper cites Expressibility and Entangling Capability of Parameterized Quantum Circuits for Hy- brid Quantum-Classical Algorithms,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers Expressibility and Entangling Capability of Parameterized Quantum Circuits for Hy- brid Quantum-Classical Algorithms,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:47.005156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c59ea58f-ac8e-4653-9853-88a2d8dccfdb · outbound

This paper cites Barren Plateaus in Quantum Neural Network Training Landscapes,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers Barren Plateaus in Quantum Neural Network Training Landscapes,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:46.802689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e7c51b2f-0d97-4fbf-812f-5465c3f5a13c · outbound

This paper cites An Initializa- tion Strategy for Addressing Barren Plateaus in Parametrized Quantum Circuits,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers An Initializa- tion Strategy for Addressing Barren Plateaus in Parametrized Quantum Circuits,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:46.675709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5b0c8982-e16d-4e24-ab1f-10c8a2949970 · outbound

This paper cites cuQuantum SDK: A High-Performance Library for Accelerating Quantum Science,.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers cuQuantum SDK: A High-Performance Library for Accelerating Quantum Science,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:46.528651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 48682448-2915-4465-918f-ea75a90f3168 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T20:36:43.932706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71f625f6-2591-4515-a751-81f927bf9537 · outbound

This paper cites Quantum computing with Qiskit.

QFFN-BERT: An Empirical Study of Depth, Performance, and Data Efficiency in Hybrid Quantum-Classical Transformers Quantum computing with Qiskit

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T20:36:44.834762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.