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Paper Citation Record · LEDGER

A Comprehensive Framework for Semantic Similarity Analysis of Human and AI-Generated Text Using Transformer Architectures and Ensemble Techniques

As of 22 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2501.14288.

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

pith.paper-citation-record.v1
2501.14288 v2

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:17:36.566918Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

10 of 10 outbound references displayed

  • verified exact2
  • verified fuzzy2
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e6520c11-9fac-4e2f-b0d2-f6c35c16a2e5 · outbound

This paper cites an unresolved cited work.

A Comprehensive Framework for Semantic Similarity Analysis of Human and AI-Generated Text Using Transformer Architectures and Ensemble Techniques Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:17:36.796274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-10T15:17:36.531643Z digest=sha256:05e3ffea973226af194f18a7bd99b1bf14a14c2448a1a51e3531c2378a13043e

Observation d2e113eb-4489-428b-b3b6-fd550495d03c · outbound

This paper cites an unresolved cited work.

A Comprehensive Framework for Semantic Similarity Analysis of Human and AI-Generated Text Using Transformer Architectures and Ensemble Techniques Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:17:36.786423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-10T15:17:36.535421Z digest=sha256:d5cb07c4d26deb477587220d8219fc61294ab54c9e2397c8dbfff4e4f3698c07

Observation bdc1e54f-f1f9-428f-9b4f-1ac3128fd9e0 · outbound

This paper cites Zellers, A.

A Comprehensive Framework for Semantic Similarity Analysis of Human and AI-Generated Text Using Transformer Architectures and Ensemble Techniques Zellers, A

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:17:36.777813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-10T15:17:36.538787Z digest=sha256:9bcad561fc17f79dc5ef3fe84b3de94e33a5cbecca68faaf7a1aaf1977f9f520

Observation 74fe20e1-69f1-4ae5-a7df-309b86279615 · outbound

This paper cites SciBERT: A Pretrained Language Model for Scientific Text.

A Comprehensive Framework for Semantic Similarity Analysis of Human and AI-Generated Text Using Transformer Architectures and Ensemble Techniques SciBERT: A Pretrained Language Model for Scientific Text

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T15:17:36.546427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:17:36.546427Z digest=sha256:8f4f04079e8ee40bb9b108c8c2afdb23728698b98efd6e809e66f85d6a6e6ad8

Observation 8a38f651-81c9-464d-b3aa-19b89f7d855e · outbound

This paper cites Dehaerne, B.

A Comprehensive Framework for Semantic Similarity Analysis of Human and AI-Generated Text Using Transformer Architectures and Ensemble Techniques Dehaerne, B

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:17:36.768658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-10T15:17:36.550316Z digest=sha256:d524dd7c4dedad9c764e5d9d8529901658d098a82878ff4df102b281a4da2ec4

Observation cbf617ca-2534-4129-8c0a-c2b6fae59500 · outbound

This paper cites Lu, ``Enhancing chatbot user satisfaction: A machine learning approach integrating decision tree, tf-idf, and bertopic,'' Preprints, November 2024.

A Comprehensive Framework for Semantic Similarity Analysis of Human and AI-Generated Text Using Transformer Architectures and Ensemble Techniques Lu, ``Enhancing chatbot user satisfaction: A machine learning approach integrating decision tree, tf-idf, and bertopic,'' Preprints, November 2024

Reference 7

Resolution
verified exact
raw_fallback, observed 2026-08-10T15:17:36.743371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-10T15:17:36.553630Z digest=sha256:e763cb18c43a6c4532652fe0ba0440c1bf29971b703ce6736c75878d567b268e

Observation 3bfff249-1aa1-42a9-969c-d76ae3ad597e · outbound

This paper cites Li, ``Harnessing multimodal data and mult-recall strategies for enhanced product recommendation in e-commerce,'' Preprints, September 2024.

A Comprehensive Framework for Semantic Similarity Analysis of Human and AI-Generated Text Using Transformer Architectures and Ensemble Techniques Li, ``Harnessing multimodal data and mult-recall strategies for enhanced product recommendation in e-commerce,'' Preprints, September 2024

Reference 8

Resolution
verified exact
raw_fallback, observed 2026-08-10T15:17:36.680389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-10T15:17:36.557352Z digest=sha256:0c8192d4e199d853d26b1b6c87d99531dfae45bd47fd037ecf108c0a82f93895

Observation f404cee0-ab96-45ef-80d8-d08c1de48ff8 · outbound

This paper cites Text Summarization with Pretrained Encoders.

A Comprehensive Framework for Semantic Similarity Analysis of Human and AI-Generated Text Using Transformer Architectures and Ensemble Techniques Text Summarization with Pretrained Encoders

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T15:17:36.560292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:17:36.560292Z digest=sha256:754dd78e4f096bf4b7ce002062028a01c758be2ef795af49c432d2d243c541b5

Observation 271426b5-63ed-4287-aa88-c34760676250 · outbound

This paper cites Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference.

A Comprehensive Framework for Semantic Similarity Analysis of Human and AI-Generated Text Using Transformer Architectures and Ensemble Techniques Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T15:17:36.563678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:17:36.563678Z digest=sha256:beacfa16d0df2bbce301dc1833b8840092eafe8f4ae4af53a1dea9f8f70d2c4a

Observation dc6b0b32-5644-4ded-b6ff-d3e3f513ca6b · outbound

This paper cites On the Possibilities of AI-Generated Text Detection.

A Comprehensive Framework for Semantic Similarity Analysis of Human and AI-Generated Text Using Transformer Architectures and Ensemble Techniques On the Possibilities of AI-Generated Text Detection

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T15:17:36.566918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:17:36.566918Z digest=sha256:055816bb223dcc78293c895fa03f3ef3f2803e7a8b829c4032951673d3b31080

Pith citing papers

No inbound Pith citation observations are available.