Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches | Paper Citation Record

Observation 1891098c-3492-464d-8e4a-cba0eaf4b71d · outbound

This paper cites Table 5 shows the summary of the research using LLMs.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Table 5 shows the summary of the research using LLMs

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:37.507253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5b27f1af-9c25-44a2-bcc5-46bb5e972752 · outbound

This paper cites There are significantly fewer AV-based research articles compared to AA.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches There are significantly fewer AV-based research articles compared to AA

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:37.375530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f931c845-d25a-4a6c-8562-1c68c8bbd7f9 · outbound

This paper cites Studies that focused solely on traditional ML techniques include Castillo et al.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Studies that focused solely on traditional ML techniques include Castillo et al

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:37.246908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 30857e5c-5e08-43a7-815d-d460ec28b354 · outbound

This paper cites It includes the top 50 authors based on the total size of their articles, all of whom have written at least one article in the CCAT (corporate/industrial) category.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches It includes the top 50 authors based on the total size of their articles, all of whom have written at least one article in the CCAT (corporate/industrial) category

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:35.847056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3008f917-3193-42fa-bf72-8be5ad373c5c · outbound

This paper cites an unresolved cited work.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:20:36.907741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 291780b2-82aa-461b-ad30-9b23e9f59178 · outbound

This paper cites For instance, Khan et al.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches For instance, Khan et al

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:37.056667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f3ce248f-9c03-4e16-b6ed-9dd87ef9c3f6 · outbound

This paper cites Shao et al.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Shao et al

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:36.746985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 49e5eb22-5aa4-45dc-a589-2cc0a8a5a74c · outbound

This paper cites (2024) used LLMs for Latin AA and AV, focusing on historic language rather than modern language.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches (2024) used LLMs for Latin AA and AV, focusing on historic language rather than modern language

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:36.557159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2ab8717a-2740-489d-b34a-71540665a49e · outbound

This paper cites an unresolved cited work.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:20:36.365427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 55ba5b9e-bd21-4e20-83ff-85e4933174e4 · outbound

This paper cites It has many datasets of different sub-tasks.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches It has many datasets of different sub-tasks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:36.185009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d46c2241-6162-4f9b-9e80-fa201642f3c2 · outbound

This paper cites Liu, 2006).

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Liu, 2006)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:35.709086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1527686c-3ff7-4bfc-b665-d3a662eaf7cc · outbound

This paper cites The DTs used are Essays, Emails, Text messages and Business memos.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches The DTs used are Essays, Emails, Text messages and Business memos

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:35.590732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c6c2fc72-60b7-4a5b-a038-e489175a3ffb · outbound

This paper cites It was collected by the Federal Energy Regulatory Commission during their investigation into Enron’s collapse (Cohen, 2015).

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches It was collected by the Federal Energy Regulatory Commission during their investigation into Enron’s collapse (Cohen, 2015)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:35.468299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e2dc7adc-d409-45d8-9c1a-bd2bcac45c17 · outbound

This paper cites It includes news articles from Reuters written between 1996 and.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches It includes news articles from Reuters written between 1996 and

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:35.305535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ac65b30d-038d-43a3-b011-c67fdf4a7fab · outbound

This paper cites The dataset consists of articles obtained from Internet news portals, is compiled into a dataset in the Comma Separated Value (CSV) document format.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches The dataset consists of articles obtained from Internet news portals, is compiled into a dataset in the Comma Separated Value (CSV) document format

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:34.857583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8fa3ec64-826f-47a3-af78-0aaa67ac6e24 · outbound

This paper cites (2023) and contains over 2 million articles.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches (2023) and contains over 2 million articles

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:34.691457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ccc6ac22-28a8-423c-977e-e8edda98aebc · outbound

This paper cites The dataset comprises a total of 10 authors and 582 samples.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches The dataset comprises a total of 10 authors and 582 samples

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:34.512440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bf70d468-8d9a-4d81-9fb0-d654f2798633 · outbound

This paper cites an unresolved cited work.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:20:34.303799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f7d549a3-59ab-4147-8877-7af381be4d3c · outbound

This paper cites It was created by Khan et al.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches It was created by Khan et al

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:34.092635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8d01552b-2f0c-4693-8e07-5134b525b6a8 · outbound

This paper cites From Figure 3a it is clear that from year 2017 to 2020, research predominantly utilized ML and DL techniques, with no reported use of LLMs.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches From Figure 3a it is clear that from year 2017 to 2020, research predominantly utilized ML and DL techniques, with no reported use of LLMs

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:33.841145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 35781b71-ffac-4d6a-b602-a0bfb6c471a0 · outbound

This paper cites Does a text retain its original authorship when it undergoes numerous paraphrasing iterations.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Does a text retain its original authorship when it undergoes numerous paraphrasing iterations

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:33.716440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 18670553-d23b-4de0-8d58-da86e7fcef82 · outbound

This paper cites It operates by recursively dividing the dataset based on feature values, creating a tree-like structure.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches It operates by recursively dividing the dataset based on feature values, creating a tree-like structure

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:33.596483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0e207675-f850-47c3-b576-469dd75a1368 · outbound

This paper cites an unresolved cited work.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:20:33.460985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation caae20e7-e9a0-4462-b327-73e3ee642dcc · outbound

This paper cites It is capable of generating coherent text and performing tasks such as translation and summarization without task-specific training (Radford et al., 2019).

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches It is capable of generating coherent text and performing tasks such as translation and summarization without task-specific training (Radford et al., 2019)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:33.328460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c72ce067-e506-4f6f-a971-539110f594d7 · outbound

This paper cites The method used was K-means clustering.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches The method used was K-means clustering

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:33.017415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation adb42c7a-b09a-4311-9957-07fdfa20256e · outbound

This paper cites an unresolved cited work.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:20:32.906386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1549f45c-4be3-446e-8a4d-c702fedebe13 · outbound

This paper cites G., Bradley, H., OBrien, K., Hallahan, E., Khan, M.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches G., Bradley, H., OBrien, K., Hallahan, E., Khan, M

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T15:20:28.163794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08ae4401-e423-4d28-8147-5cc0427abc5a · outbound

This paper cites Mixtral of Experts.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Mixtral of Experts

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T15:20:28.612491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb6dc882-2632-497f-a698-6cd211ceee42 · outbound

This paper cites an unresolved cited work.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:20:31.589013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 93e2e274-1b07-47ba-b223-4b84a9e619c3 · outbound

This paper cites an unresolved cited work.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:20:30.997183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f79eda83-dd6d-4d45-9af6-61314ae15d3e · outbound

This paper cites Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T15:20:28.550689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d0c225e-25ea-4704-97ad-bd854b80e485 · outbound

This paper cites F., Anwar, W., Arshad, H., & Abbas, S.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches F., Anwar, W., Arshad, H., & Abbas, S

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:31.417871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 326fe75a-791c-4719-a35e-e871208b0a8a · outbound

This paper cites an unresolved cited work.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Unresolved cited work

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T15:20:28.900849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa002692-0e57-48df-9f59-acd619839996 · outbound

This paper cites CAVE: Controllable Authorship Verification Explanations.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches CAVE: Controllable Authorship Verification Explanations

Reference 50

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T15:20:29.683384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2041f5ca-e775-4d50-b995-ecb849f49ea6 · outbound

This paper cites Sui Generis: Large Language Models for Authorship Attribution and Verification in Latin.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Sui Generis: Large Language Models for Authorship Attribution and Verification in Latin

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:20:29.486425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d20daec9-cf49-4375-a377-cd33705e0398 · outbound

This paper cites On the Limitations of Large Language Models (LLMs): False Attribution.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches On the Limitations of Large Language Models (LLMs): False Attribution

Reference 93

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:20:30.309096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 48dbb075-4c3d-4ca6-9c8f-60571b8fad9e · outbound

This paper cites T5 meets Tybalt: Author Attribution in Early Modern English Drama Using Large Language Models.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches T5 meets Tybalt: Author Attribution in Early Modern English Drama Using Large Language Models

Reference 131

Resolution: unresolved; no resolver link, observed 2026-08-07T15:20:28.479161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51b72c45-4fb4-49e8-bef2-9d025db43474 · outbound

This paper cites an unresolved cited work.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Unresolved cited work

Reference 190

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:20:31.179237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7da877e5-60ed-40a3-8206-4b5aa161fedd · outbound

This paper cites an unresolved cited work.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Unresolved cited work

Reference 297

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:20:32.235572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 734b25af-743e-465e-bbd7-86f3a86d82f0 · outbound

This paper cites an unresolved cited work.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Unresolved cited work

Reference 348

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:20:32.613213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 42f6264b-184a-4720-bf7e-1c9225b00b04 · outbound

This paper cites an unresolved cited work.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Unresolved cited work

Reference 435

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:20:30.673266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a102f391-d3e9-4ef5-952b-2fd7539dc214 · outbound

This paper cites an unresolved cited work.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Unresolved cited work

Reference 497

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:20:31.964763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c243a097-b924-4ce3-9e16-0b61c30b8720 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Gemini: A Family of Highly Capable Multimodal Models

Reference 838

Resolution: unresolved; no resolver link, observed 2026-08-07T15:20:29.299223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc017b99-3c09-413a-9969-19c311def308 · outbound

This paper cites an unresolved cited work.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Unresolved cited work

Reference 1787

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:20:31.768250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dc75c647-d5f9-4f20-9a00-92fe085eae24 · outbound

This paper cites an unresolved cited work.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Unresolved cited work

Reference 1997

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:20:35.090094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 91890198-6040-428e-b147-c83dced19690 · outbound

This paper cites an unresolved cited work.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Unresolved cited work

Reference 2004

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:20:36.008241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 34ee5131-f182-4491-be15-ada6ab43f3dd · outbound

This paper cites • Gemini: Gemini, developed by Google DeepMind and launched on December 6, 2023, is a multi-modal large language model.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches • Gemini: Gemini, developed by Google DeepMind and launched on December 6, 2023, is a multi-modal large language model

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:33.181717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 683b9eca-5c04-4a91-bf9e-74089b9df08d · outbound

This paper cites Due to inclusion and exclusion criteria mentioned in Section 2, no articles from 2015 and 2016 made it into the review as shown in Table C3 and Figure.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Due to inclusion and exclusion criteria mentioned in Section 2, no articles from 2015 and 2016 made it into the review as shown in Table C3 and Figure

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:33.958719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e254fa38-bb8c-4740-a3bf-d8b72423ddae · outbound

This paper cites R., Cohen, T., & McGill, S.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches R., Cohen, T., & McGill, S

Reference 2207

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:30.504202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 94d4ce05-c691-43f3-80f3-c3c79576eb71 · outbound

This paper cites GPT-4 Technical Report.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches GPT-4 Technical Report

Reference 2700

Resolution: unresolved; no resolver link, observed 2026-08-07T15:20:28.994606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a6e4d7d-f16c-4485-a8f4-e058a53b7b7a · outbound

This paper cites an unresolved cited work.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Unresolved cited work

Reference 4589

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:20:32.446797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d202c480-76e6-41ae-a510-e47b40ab2b79 · outbound

This paper cites an unresolved cited work.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Unresolved cited work

Reference 7255

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:20:32.785127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 20cb3c31-0feb-4483-ad7d-8e3039fad52f · outbound

This paper cites an unresolved cited work.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Unresolved cited work

Reference 7518

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:20:30.836127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 72aafb80-c4b5-48c9-bf13-2911e0317702 · outbound

This paper cites an unresolved cited work.

Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches Unresolved cited work

Reference 9071

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T15:20:30.043829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers