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Paper Citation Record · LEDGER

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing

As of 23 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2506.00321.

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

pith.paper-citation-record.v1
2506.00321 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:11:49.645732Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

45 of 45 outbound references displayed

  • verified exact3
  • verified fuzzy39
  • unresolved3
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1310569e-a200-4e9a-94ce-14156bc76db9 · outbound

This paper cites Multipolarity-based sentiment classifica- tion using hybrid HDL-Fuzzy-RMDL network,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing Multipolarity-based sentiment classifica- tion using hybrid HDL-Fuzzy-RMDL network,

Reference 1

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Observation 3c1ef1f6-6bcc-48ea-9ef8-791e0ac04c55 · outbound

This paper cites A fuzzy graph convolutional network model for sentence-level sentiment analysis,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing A fuzzy graph convolutional network model for sentence-level sentiment analysis,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 572884ca-48c8-40b1-abdd-ba6b875f3431 · outbound

This paper cites Urdu word sense disambiguation: Lever- aging contextual stacked embedding, Siamese Transformer en- coder 1DCNN-BiLSTM, and Gloss data augmentation,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing Urdu word sense disambiguation: Lever- aging contextual stacked embedding, Siamese Transformer en- coder 1DCNN-BiLSTM, and Gloss data augmentation,

Reference 3

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Observation 8620af8b-02f0-4bab-96e0-668b65a43f12 · outbound

This paper cites When polysemy matters: Modeling semantic categorization with word embeddings,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing When polysemy matters: Modeling semantic categorization with word embeddings,

Reference 4

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raw_fallback, observed 2026-08-07T12:11:56.577411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 58ef4308-fee8-465b-92c7-597cefac8ce3 · outbound

This paper cites Polysemy-evidence from linguistics, behavioral science, and contextualized language models,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing Polysemy-evidence from linguistics, behavioral science, and contextualized language models,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 4ccdd399-84a7-41db-8be4-ae36add76bc6 · outbound

This paper cites Lexical meaning, reference and usage,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing Lexical meaning, reference and usage,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 6a3a7fd7-bc63-4001-b60c-003861e3d153 · outbound

This paper cites Large language models for generative recommen- dation: A survey and visionary discussions,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing Large language models for generative recommen- dation: A survey and visionary discussions,

Reference 7

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e7506eae-8ae9-4b15-b6b6-ec800f2b6af8 · outbound

This paper cites A fast quantum mechanical algorithm for database search,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing A fast quantum mechanical algorithm for database search,

Reference 8

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 4167e656-3846-4184-ba2b-5ff417cf8630 · outbound

This paper cites Grover's Algorithm for Question Answering.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing Grover's Algorithm for Question Answering

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c8ddd8f7-6f99-4c9c-a13a-7fba9eb2fe52 · outbound

This paper cites Integrating quantum computing and NLP for advanced cyber threat detection,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing Integrating quantum computing and NLP for advanced cyber threat detection,

Reference 10

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8120ee55-acd2-45ae-80fe-c291329ed43d · outbound

This paper cites GroverGPT: A Large Language Model with 8 Billion Parameters for Quantum Searching.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing GroverGPT: A Large Language Model with 8 Billion Parameters for Quantum Searching

Reference 11

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Source-reported events for the cited work

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Observation 7ed91d9d-b20d-4524-b513-e4f74f65ccc4 · outbound

This paper cites GroverGPT-2: Simulating Grover’s algorithm via chain-of-thought reasoning and quantum-native tokenization,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing GroverGPT-2: Simulating Grover’s algorithm via chain-of-thought reasoning and quantum-native tokenization,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d15ad0b2-888a-4854-9e84-f645d6ddb382 · outbound

This paper cites Grover algorithm for multi-objective searching with iteration auto-controlling,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing Grover algorithm for multi-objective searching with iteration auto-controlling,

Reference 13

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Observation 2af10320-b589-4da2-b48a-390a0492269c · outbound

This paper cites ERNIE 2.0: A continual pre-training framework for language understanding,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing ERNIE 2.0: A continual pre-training framework for language understanding,

Reference 14

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 40ab4c78-db0d-4cd5-a027-8a4991116dd2 · outbound

This paper cites Coggins, Introduction to quantum computing with Qiskit: Scarborough Quantum Computing Ltd, 2021.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing Coggins, Introduction to quantum computing with Qiskit: Scarborough Quantum Computing Ltd, 2021

Reference 15

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation fc2c3b6b-51f2-4cf7-b905-9b5976a7bdae · outbound

This paper cites Configurable sublinear circuits for quantum state preparation,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing Configurable sublinear circuits for quantum state preparation,

Reference 16

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Observation 9f596839-e64a-4304-9389-13041125d60c · outbound

This paper cites Hybrid classical–quantum convolutional neural network for stenosis de- tection in X-ray coronary angiography,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing Hybrid classical–quantum convolutional neural network for stenosis de- tection in X-ray coronary angiography,

Reference 17

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Observation 32e70649-ba89-476a-ba28-6d9206462d4b · outbound

This paper cites Early days following Grover's quantum search algorithm.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing Early days following Grover's quantum search algorithm

Reference 18

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Observation 21a7be15-cde1-48bb-969b-fa525eca6393 · outbound

This paper cites PennyLane: Automatic differentiation of hybrid quantum-classical computations.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing PennyLane: Automatic differentiation of hybrid quantum-classical computations

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6edc0e98-a9bb-48ab-8fe3-33caa09a6258 · outbound

This paper cites an unresolved cited work.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing Unresolved cited work

Reference 20

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 3a2fa5cc-bf78-42ae-8e00-24556ac03c36 · outbound

This paper cites A novel extreme adaptive GRU for multivariate time series forecasting,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing A novel extreme adaptive GRU for multivariate time series forecasting,

Reference 21

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 2456da7e-a3c2-4edf-8ab6-f2b2d4c92122 · outbound

This paper cites Sentiment classification using a single- layered BiLSTM model,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing Sentiment classification using a single- layered BiLSTM model,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8b4cd386-436a-4b51-bc8d-efaf4cb9aeb2 · outbound

This paper cites Improving text classification with weighted word embeddings via a multi-channel TextCNN model,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing Improving text classification with weighted word embeddings via a multi-channel TextCNN model,

Reference 23

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a6352c8e-a80e-4eba-b771-0fc9b4f6d635 · outbound

This paper cites Quantum-inspired complex word embedding,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing Quantum-inspired complex word embedding,

Reference 24

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 243c3e8b-4cac-47a8-adf9-7f2d7fe7365f · outbound

This paper cites Encoding word order in complex embeddings,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing Encoding word order in complex embeddings,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 4306fb43-aec3-45d7-8313-a3c6c1c12a9a · outbound

This paper cites TextTN: Probabilistic encoding of language on tensor network,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing TextTN: Probabilistic encoding of language on tensor network,

Reference 26

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 77afd6b7-4c60-472e-a5b6-679d0caa0f84 · outbound

This paper cites Mining and summarizing customer reviews,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing Mining and summarizing customer reviews,

Reference 27

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raw_fallback, observed 2026-08-07T12:11:53.137275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 456bc430-c0d6-4539-a010-a2d8a34592a6 · outbound

This paper cites Multi-perspective question answering using the OpQA corpus,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing Multi-perspective question answering using the OpQA corpus,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-07T12:11:53.058857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation cfcd9bdb-2927-4278-a5f4-ec0b2a752840 · outbound

This paper cites Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales,

Reference 29

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raw_fallback, observed 2026-08-07T12:11:52.942895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 554a851e-9773-4a07-a035-4af205440299 · outbound

This paper cites Recursive deep models for semantic com- positionality over a sentiment treebank,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing Recursive deep models for semantic com- positionality over a sentiment treebank,

Reference 30

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raw_fallback, observed 2026-08-07T12:11:52.786507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 16cfc7a6-57af-406d-926c-513707ad95df · outbound

This paper cites A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts,

Reference 31

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raw_fallback, observed 2026-08-07T12:11:52.607197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 35c90a91-7e08-4beb-9008-93b211f0b75e · outbound

This paper cites An empirical study of sentiment analysis for chinese documents,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing An empirical study of sentiment analysis for chinese documents,

Reference 32

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raw_fallback, observed 2026-08-07T12:11:52.448207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:11:48.269440Z digest=sha256:0b77965062cf3cc314ab066532b033b67faa698bd4f6faba2afffc81d30821f2

Observation a6847741-638a-4a79-bfcd-de5be361ef0d · outbound

This paper cites BERT: Pre-training of deep bidirectional Trans- formers for language understanding,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing BERT: Pre-training of deep bidirectional Trans- formers for language understanding,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:11:48.348433Z digest=sha256:093252c8bc0ad12dc3d926a373db92b3473a06d20b3842e6e9832ce21cc41ff8

Observation 4fde0a9d-32f8-4d61-85b8-a9bc03c86c0f · outbound

This paper cites Zero-shot word sense disambiguation using sense definition embeddings,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing Zero-shot word sense disambiguation using sense definition embeddings,

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-07T12:11:52.170729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:11:48.429435Z digest=sha256:440c60c2033562788c720bd578d212eb7e63fba83fd5c2844d0249523fa18961

Observation dc498b5f-36d1-429d-acb9-e8d1ada11f9e · outbound

This paper cites Improved word sense disambiguation us- ing pre-trained contextualized word representations,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing Improved word sense disambiguation us- ing pre-trained contextualized word representations,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:11:52.050779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:11:48.582232Z digest=sha256:727bf234c8858da89d3e6b6681f6212ab8af3873201fed46da3a37e19ecb5fe7

Observation 1f40b054-71ac-4523-8e2e-1db541791e60 · outbound

This paper cites Personalized PageRank with syntagmatic information for multilingual word sense disambiguation,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing Personalized PageRank with syntagmatic information for multilingual word sense disambiguation,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:11:51.936233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:11:48.748509Z digest=sha256:3664301487d89e983081118925d121235e055dcf6a9e4a6688dc51be502a1620

Observation 81046679-86ee-40ba-a19c-6e287e88ba90 · outbound

This paper cites A synset relation-enhanced framework with a try-again mechanism for word sense disambiguation,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing A synset relation-enhanced framework with a try-again mechanism for word sense disambiguation,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:11:51.810212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:11:48.915426Z digest=sha256:16592fd0811660d64d10a1ed73b68ad9b7900d83b182f0531159df0d14f4a003

Observation ed8b373e-cb24-4514-8593-072f567bce0c · outbound

This paper cites Generationary or “how we went beyond word sense inventories and learned to gloss.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing Generationary or “how we went beyond word sense inventories and learned to gloss

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:11:51.658567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:11:49.030684Z digest=sha256:c4d673b779ab272bb60018027b2df5c506a543040a13f3909dc49b1316f0ee31

Observation e305188f-0254-41fe-b325-2a188c022f13 · outbound

This paper cites GlossBERT: BERT for word sense disam- biguation with gloss knowledge,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing GlossBERT: BERT for word sense disam- biguation with gloss knowledge,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:11:51.507844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:11:49.058096Z digest=sha256:98bdb0c52e4928e0aca6188d3eb1bbbc7821f0073efc664c31e4103dd0a660f4

Observation b7d962ca-8426-4ba6-b083-73472c9ce5ec · outbound

This paper cites A semantic concordance,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing A semantic concordance,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:11:51.335673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:11:49.238675Z digest=sha256:0385f60f17f70a87e1643922615354b96578adce1b42e79fd59b3d09ebbf7a1a

Observation 4f6c3054-d52d-4ba5-b12a-edb144a1a072 · outbound

This paper cites Anaphora resolution with word sense disambigua- tion,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing Anaphora resolution with word sense disambigua- tion,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:11:51.176576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:11:49.308387Z digest=sha256:80693f89019fa04b201f12e9435bed0298769533a437129e6264326948e51ac1

Observation eea2701d-c857-4f2d-b63e-ec0f380621dd · outbound

This paper cites The English all-words task,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing The English all-words task,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:11:51.019465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:11:49.410144Z digest=sha256:a83621373ca11ee65a8ef068b192277c9f12b6fa6b6d89b14ab69fdf47b01bec

Observation f5059139-70b1-40f5-9c7f-7f451e52632b · outbound

This paper cites Semeval-2007 task-17: English lexical sam- ple, srl and all words,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing Semeval-2007 task-17: English lexical sam- ple, srl and all words,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:11:50.868258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:11:49.496407Z digest=sha256:6d62aa1724d719c1bad9534552438646d8d14ecf1aedd43883b715d4609ff520

Observation da7811e7-01dc-44af-b643-8dcd529cea8d · outbound

This paper cites Semeval-2013 task 12: Multilingual word sense disambiguation,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing Semeval-2013 task 12: Multilingual word sense disambiguation,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:11:50.727492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:11:49.570041Z digest=sha256:3fb30a67d98f01042c9bc23fa85c83eb9e03fa6604604086e2b78a37e70eec95

Observation 5f396adc-9599-4cb9-bde6-31b7d3608646 · outbound

This paper cites Semeval-2015 task 13: Multilingual all-words sense disambiguation and entity linking,.

QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing Semeval-2015 task 13: Multilingual all-words sense disambiguation and entity linking,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:11:50.542102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:11:49.645732Z digest=sha256:14ce6434f7f4cae28e8dadcf1bf97a39ddce5212b7a85901cb09dd5679ce0ca7

Pith citing papers

No inbound Pith citation observations are available.