Paper Citation Record · LEDGER

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques

As of 8 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 2 inbound Pith citation observations for arXiv:2507.05123.

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

pith.paper-citation-record.v1
2507.05123 v1

Coverage vector

measured 78 of 78 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:37:22.081341Z

measured 80 of 80 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T22:45:31.935618Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T22:46:53.220410Z

Reference resolution

78 of 78 outbound references displayed

verified exact9
verified fuzzy19
unresolved40
parse uncertain0
malformed identifier5
metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7f58d3c4-ac95-4c81-b650-c4601e143ffa · outbound

This paper cites Expert Systems with Applications 165, 113679 (2021) https://doi.org/10.1016/j.eswa.2020.113679.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Expert Systems with Applications 165, 113679 (2021) https://doi.org/10.1016/j.eswa.2020.113679

Reference 1

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T19:37:25.034468Z

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.

Observation 7a7eb954-676b-4013-bc85-2d60d4fc5bdd · outbound

This paper cites In: Riezler, S., Goldberg, Y.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques In: Riezler, S., Goldberg, Y

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:16.801037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 506de1bf-fe3e-48c6-a145-4597f3e10ff3 · outbound

This paper cites Journal of King Saud University - Computer and Information Sciences 34(4), 1029–1046 (2022) https://doi.org/10.1016/j.jksuci.2020.05.006 32.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Journal of King Saud University - Computer and Information Sciences 34(4), 1029–1046 (2022) https://doi.org/10.1016/j.jksuci.2020.05.006 32

Reference 3

Resolution: verified exact; doi, observed 2026-08-06T19:37:23.559941Z

Source-reported events for the cited work

correction dated 2020-11-24. Source: crossref record 10.1016/j.jksuci.2020.11.021->10.1016/j.jksuci.2020.05.006:correction, observed 2026-07-11T03:14:36.214461+00:00. This notice travels one citation hop only.

correction dated 2020-11-24. Source: crossref record 10.1016/j.jksuci.2020.11.017->10.1016/j.jksuci.2020.05.006:correction, observed 2026-07-11T03:15:16.524084+00:00. This notice travels one citation hop only.

correction dated 2020-11-25. Source: crossref record 10.1016/j.jksuci.2020.11.008->10.1016/j.jksuci.2020.05.006:correction, observed 2026-07-11T03:10:43.036446+00:00. This notice travels one citation hop only.

Observation 93c242f5-3cb2-4051-b1de-fc11190b76a6 · outbound

This paper cites IOP Conference Series: Materials Science and Engineering 1099(1), 012042 (2021) https://doi.org/10.1088/1757-899X/1099/ 1/012042.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques IOP Conference Series: Materials Science and Engineering 1099(1), 012042 (2021) https://doi.org/10.1088/1757-899X/1099/ 1/012042

Reference 4

Resolution: malformed identifier; doi_truncated, observed 2026-08-06T19:37:23.422968Z

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.

Observation 639c6d81-d70c-4358-b25a-1d55c4f9abce · outbound

This paper cites Information Processing & Management 45(1), 20–34 (2009) https://doi.org/10.1016/j.ipm.2008.06.002.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Information Processing & Management 45(1), 20–34 (2009) https://doi.org/10.1016/j.ipm.2008.06.002

Reference 5

Resolution: verified exact; doi, observed 2026-08-06T19:37:23.288176Z

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.

Observation 0cc17143-a059-40bb-8368-86c697ed9fb3 · outbound

This paper cites In: 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques In: 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp

Reference 6

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T19:37:24.863753Z

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.

Observation 1f56ab0a-b7b2-4f88-bbe4-34425d92e880 · outbound

This paper cites Neural Computing and Applications 35, 18553–18570 (2023) https://doi.org/10.1007/s00521-023-08680-0.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Neural Computing and Applications 35, 18553–18570 (2023) https://doi.org/10.1007/s00521-023-08680-0

Reference 7

Resolution: verified exact; doi, observed 2026-08-06T19:37:23.176704Z

Source-reported events for the cited work

correction dated 2024-05-10. Source: crossref record 10.1007/s00521-024-09842-4->10.1007/s00521-023-08680-0:correction, observed 2026-07-11T02:56:38.676945+00:00. This notice travels one citation hop only.

Observation 4937e121-ba88-4be0-a899-0ebc545c8cb6 · outbound

This paper cites In: Muresan, S., Nakov, P., Villavicencio, A.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques In: Muresan, S., Nakov, P., Villavicencio, A

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:17.218944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96de1c8a-783c-45e2-afcb-50aae86b2e11 · outbound

This paper cites Neural Computing and Applications (2023) https://doi.org/10.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Neural Computing and Applications (2023) https://doi.org/10

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:37:28.409944Z

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.

Observation b32db519-5e85-4f2e-8728-f14f1e1701e2 · outbound

This paper cites In: 2017 International Conference on Computer, Communication and Signal Processing (ICCCSP), pp.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques In: 2017 International Conference on Computer, Communication and Signal Processing (ICCCSP), pp

Reference 10

Resolution: verified exact; doi, observed 2026-08-06T19:37:23.046899Z

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.

Observation 7074de72-0359-4971-b05a-afb76bd46dd8 · outbound

This paper cites Neural Computing and Applications 32, 11491–11503 (2020) https://doi.org/10.1007/s00521-019-04638-3.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Neural Computing and Applications 32, 11491–11503 (2020) https://doi.org/10.1007/s00521-019-04638-3

Reference 11

Resolution: verified exact; doi, observed 2026-08-06T19:37:22.897819Z

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.

Observation 44f808b4-838d-4956-89c1-65da5ba3b090 · outbound

This paper cites In: 2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT), pp.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques In: 2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT), pp

Reference 12

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T19:37:24.666916Z

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.

Observation 9d460364-8fc5-4124-b5b9-cf16d1c60ebe · outbound

This paper cites an unresolved cited work.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:37:28.394721Z

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.

Observation 735156e4-1bdf-4f5e-9729-389c3fa33847 · outbound

This paper cites In: Latifi, S.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques In: Latifi, S

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:37:28.377491Z

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.

Observation ccddb2bf-53be-4ae7-9b18-aba94e08c581 · outbound

This paper cites Applied Sciences 13(7) (2023) https://doi.org/10.3390/app13074610.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Applied Sciences 13(7) (2023) https://doi.org/10.3390/app13074610

Reference 16

Resolution: verified exact; doi, observed 2026-08-06T19:37:22.738774Z

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.

Observation 435bd82f-b1f3-4cd1-b213-2b8b04ea7f8d · outbound

This paper cites In: Webber, B., Cohn, T., He, Y., Liu, Y.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques In: Webber, B., Cohn, T., He, Y., Liu, Y

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:17.732023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 333b6ea5-b2c3-4016-b127-599899a3cfb6 · outbound

This paper cites In: 2019 International Joint Conference on Neural Networks (IJCNN), pp.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques In: 2019 International Joint Conference on Neural Networks (IJCNN), pp

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:17.773839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66415ca2-b6fb-4c29-b99d-355e0bf971ec · outbound

This paper cites an unresolved cited work.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:37:28.354970Z

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.

Observation 328fb085-2c86-474e-9fb0-68a33538eedd · outbound

This paper cites an unresolved cited work.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:37:28.332127Z

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.

Observation ae464cc9-2aca-4a94-91f1-9c6b4d432936 · outbound

This paper cites Z Sun: Evaluating large language models on medical evi- dence summarization.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Z Sun: Evaluating large language models on medical evi- dence summarization

Reference 21

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T19:37:28.309455Z

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.

Observation 56d484e6-4723-4307-9232-08197849306d · outbound

This paper cites Generator-Retriever-Generator Approach for Open-Domain Question Answering.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Generator-Retriever-Generator Approach for Open-Domain Question Answering

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:18.009132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60b24e12-645f-4087-a189-49a594aa1d8d · outbound

This paper cites an unresolved cited work.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:37:28.291643Z

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.

Observation 4264c7bf-f3f7-4f37-a3d5-189ae9e72c9d · outbound

This paper cites ACM Comput.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques ACM Comput

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:18.171669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb319519-47b3-41bf-bf55-c113173c43b7 · outbound

This paper cites Unleashing the potential of prompt engineering for large language models.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Unleashing the potential of prompt engineering for large language models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:18.221170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 233358cc-e0e9-41dc-a00a-2fff4fdc16c4 · outbound

This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:18.294762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a763cb5-698f-4e07-9ca1-c583bf15f0d4 · outbound

This paper cites Prompt Design and Engineering: Introduction and Advanced Methods.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Prompt Design and Engineering: Introduction and Advanced Methods

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:18.348999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf8db8c6-77bb-4853-b8a5-2ac226934674 · outbound

This paper cites Accessed: 2024-01-22.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Accessed: 2024-01-22

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:37:28.270099Z

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.

Observation 1905f742-926e-4340-b615-74b3f3e23de6 · outbound

This paper cites an unresolved cited work.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:37:28.252717Z

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.

Observation 5ad74407-3a33-45e6-8f25-9fbcf53e3ce1 · outbound

This paper cites an unresolved cited work.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:37:28.233530Z

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.

Observation 39c7d87e-637b-43de-8dfb-82643adac500 · outbound

This paper cites an unresolved cited work.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:37:28.216505Z

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.

Observation aa18735e-9210-4256-a87b-06b9cc326c21 · outbound

This paper cites In: Inui, K., Jiang, J., Ng, V., Wan, X.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques In: Inui, K., Jiang, J., Ng, V., Wan, X

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:37:28.200619Z

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.

Observation f93d7435-e5fc-478e-9fa6-121e74dd587d · outbound

This paper cites In: Burstein, J., Doran, C., Solorio, T.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques In: Burstein, J., Doran, C., Solorio, T

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:37:28.183663Z

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.

Observation 3962b2e5-b213-4f93-afdd-75d1101d3bed · outbound

This paper cites Gambhir, V.G.: Deep learning-based extractive text summarization with word- level attention mechanism.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Gambhir, V.G.: Deep learning-based extractive text summarization with word- level attention mechanism

Reference 34

Resolution: verified exact; doi, observed 2026-08-06T19:37:22.556567Z

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.

Observation 16bd085c-aeec-4e2f-a25f-28de496abbde · outbound

This paper cites Neural Computing and Applications 35(25), 18603–18622 (2023).

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Neural Computing and Applications 35(25), 18603–18622 (2023)

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:37:28.088471Z

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.

Observation 0ddb8930-1f35-4853-87cf-28ee6ee001b7 · outbound

This paper cites In: Korhonen, A., Traum, D., M` arquez, L.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques In: Korhonen, A., Traum, D., M` arquez, L

Reference 36

Resolution: malformed identifier; no resolver link, observed 2026-08-06T19:37:19.073200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65e46505-b792-4625-bc14-0c3cf770d728 · outbound

This paper cites In: Annual Meeting of the Association for Computational Linguistics (2019).

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques In: Annual Meeting of the Association for Computational Linguistics (2019)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:37:27.899222Z

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.

Observation a3d4f6aa-9552-4ff8-acc0-523591c2ddd1 · outbound

This paper cites In: Durmus, E., Gupta, V., Liu, N., Peng, N., Su, Y.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques In: Durmus, E., Gupta, V., Liu, N., Peng, N., Su, Y

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:37:27.738072Z

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.

Observation 51e00205-4fdb-4433-81d8-5cfb573f05dd · outbound

This paper cites an unresolved cited work.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:37:27.564058Z

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.

Observation e30afa2b-20d8-4181-bf29-091aed100c2a · outbound

This paper cites an unresolved cited work.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:37:27.385774Z

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.

Observation c0ba4e67-db20-4330-a613-38dbc732fcd8 · outbound

This paper cites an unresolved cited work.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:37:27.171186Z

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.

Observation ca9b410b-2f60-4bed-b415-373a43872a2b · outbound

This paper cites In: Riloff, E., Chiang, D., Hockenmaier, J., Tsujii, J.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques In: Riloff, E., Chiang, D., Hockenmaier, J., Tsujii, J

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:19.548139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3e3fabe-17ff-439e-96eb-2902da64bc16 · outbound

This paper cites In: Isabelle, P., Charniak, E., Lin, D.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques In: Isabelle, P., Charniak, E., Lin, D

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:19.624526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7e07151-262f-4b9f-9c8d-84695e5203a5 · outbound

This paper cites In: Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K., Oh, A.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques In: Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K., Oh, A

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:37:27.005599Z

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.

Observation 753f893d-a1a6-49d7-bb47-18ac06c8232e · outbound

This paper cites Introducing ChatGPT.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Introducing ChatGPT

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:37:26.805418Z

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.

Observation 2b236559-b088-42a1-9688-62b1f520ce7f · outbound

This paper cites In: Text Summarization Branches Out, pp.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques In: Text Summarization Branches Out, pp

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:37:26.588139Z

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.

Observation 52d4ec70-f7ba-4aac-97d7-3605654dafb9 · outbound

This paper cites In: Goldstein, J., Lavie, A., Lin, C.-Y., Voss, C.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques In: Goldstein, J., Lavie, A., Lin, C.-Y., Voss, C

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:37:26.412313Z

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.

Observation 0ebf6757-82c7-422f-af75-975e9003e1bc · outbound

This paper cites an unresolved cited work.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:37:26.205236Z

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.

Observation d39921ad-8168-4999-8198-730105ef4d23 · outbound

This paper cites In: Rogers, A., Boyd-Graber, J., Okazaki, N.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques In: Rogers, A., Boyd-Graber, J., Okazaki, N

Reference 49

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T19:37:26.082119Z

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.

Observation 57063262-7ab5-434c-b952-2baff3d2f750 · outbound

This paper cites (eds.) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Process- ing, pp.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques (eds.) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Process- ing, pp

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:20.102839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 952dba48-4ffc-417d-9fd6-305088e21b52 · outbound

This paper cites In: Larochelle, H., Ranzato, M., Hadsell, R., Bal- can, M.F., Lin, H.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques In: Larochelle, H., Ranzato, M., Hadsell, R., Bal- can, M.F., Lin, H

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:37:25.992332Z

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.

Observation 4d4b0f04-3608-4973-9cce-acf5f4af59ad · outbound

This paper cites an unresolved cited work.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Unresolved cited work

Reference 52

Resolution: malformed identifier; no resolver link, observed 2026-08-06T19:37:20.221938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d66b400-dd5c-46c6-a097-ebb2b6719b91 · outbound

This paper cites In: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques In: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:37:25.881717Z

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.

Observation 0aa2c055-b20d-4541-b5c5-707c563e743d · outbound

This paper cites In: Proceedings of the 2nd Workshop on New Frontiers in Summarization.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques In: Proceedings of the 2nd Workshop on New Frontiers in Summarization

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:20.387419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dc3f55c-80c7-4f75-be46-20027fa2423b · outbound

This paper cites In: Walker, M., Ji, H., Stent, A.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques In: Walker, M., Ji, H., Stent, A

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:37:25.796978Z

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.

Observation 148d48a7-e729-4bb2-9f78-8a8e1aa82d79 · outbound

This paper cites ACM Trans.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques ACM Trans

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:20.595193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b952f6a-a4aa-4854-aa01-f2df32e457bb · outbound

This paper cites What learning algorithm is in-context learning? Investigations with linear models.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques What learning algorithm is in-context learning? Investigations with linear models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:20.697757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 383e93a4-9fe5-48c3-a65e-ef15095f3910 · outbound

This paper cites In: Krause, A., Brunskill, E., Cho, K., Engelhardt, B., Sabato, S., Scarlett, J.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques In: Krause, A., Brunskill, E., Cho, K., Engelhardt, B., Sabato, S., Scarlett, J

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:37:25.682367Z

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.

Observation 2fbe0b92-6868-4c97-bd86-61e9604a8acf · outbound

This paper cites OpenAI blog 1(8), 9 (2019).

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques OpenAI blog 1(8), 9 (2019)

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:37:25.582262Z

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.

Observation 8e8f39c3-9ca0-451f-a92e-861abf5e104f · outbound

This paper cites In: Korhonen, A., Titov, I.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques In: Korhonen, A., Titov, I

Reference 60

Resolution: verified exact; doi, observed 2026-08-06T19:37:22.254844Z

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.

Observation 8628535e-f9be-4ca4-a697-ecd4bee1e85a · outbound

This paper cites an unresolved cited work.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:37:25.456814Z

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.

Observation ccd5defc-02c2-4b1e-aa38-f548cbe9361b · outbound

This paper cites Autoregressive Models: What Are They Good For?.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Autoregressive Models: What Are They Good For?

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:21.045147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ccb38b2-2f5c-449f-8e0f-c7a6b0b43333 · outbound

This paper cites an unresolved cited work.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:37:25.383457Z

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.

Observation f886bbfb-3c4b-4bb9-90a9-7fd45ca480d7 · outbound

This paper cites In: Barolli, L.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques In: Barolli, L

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:37:25.266491Z

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.

Observation fbbe1b97-fe18-462d-8cf6-e6e14c93ab29 · outbound

This paper cites Mistral 7B.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Mistral 7B

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:21.267398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18a1a571-e016-4f64-b514-8b497e079641 · outbound

This paper cites https://storage.googleapis.com/deepmind-media/gemma/ gemma-report.pdf.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques https://storage.googleapis.com/deepmind-media/gemma/ gemma-report.pdf

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:37:25.139053Z

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.

Observation 46d8fbb2-f8ff-4d57-8da0-46b0be5583f1 · outbound

This paper cites Mixtral of Experts.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Mixtral of Experts

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:21.416231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74b73546-e106-45f1-bc1b-06967fe9474b · outbound

This paper cites A Survey on Mixture of Experts in Large Language Models.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques A Survey on Mixture of Experts in Large Language Models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:21.499556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b4eab4f-2560-48d7-8d92-321c7b7779ae · outbound

This paper cites Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension

Reference 69

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T19:37:24.166455Z

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.

Observation ef12264c-a430-44bb-bad4-ed7a95217e52 · outbound

This paper cites IEEE Transactions on Visualization & Computer Graphics 29(01), 1146–1156 (2023) https://doi.org/10.1109/TVCG.2022.3209479.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques IEEE Transactions on Visualization & Computer Graphics 29(01), 1146–1156 (2023) https://doi.org/10.1109/TVCG.2022.3209479

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:21.655023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c781ccf-4d98-4d06-9347-fc68f8ad6215 · outbound

This paper cites Prompt Engineering for Healthcare: Methodologies and Applications.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Prompt Engineering for Healthcare: Methodologies and Applications

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:21.734141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9850b7d-0f23-446c-afb5-60dd8eec0368 · outbound

This paper cites Is Temperature the Creativity Parameter of Large Language Models?.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Is Temperature the Creativity Parameter of Large Language Models?

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:21.801472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2dd1364-8431-4600-ae62-06857cb785fc · outbound

This paper cites A Survey on In-context Learning.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques A Survey on In-context Learning

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:21.869358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f088098-6b48-42c2-a1fc-0ce95e94a7a9 · outbound

This paper cites IEEE Access 9, 156043–156070 (2021) https://doi.org/10.1109/ACCESS.2021.3129786.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques IEEE Access 9, 156043–156070 (2021) https://doi.org/10.1109/ACCESS.2021.3129786

Reference 74

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T19:37:23.845461Z

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.

Observation 2dc1f1f5-e416-4e24-829f-4c94fac9a615 · outbound

This paper cites Neural Text Summarization: A Critical Evaluation.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques Neural Text Summarization: A Critical Evaluation

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:22.001553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86ed0189-4293-494d-bf93-cd9b655e98a0 · outbound

This paper cites In: Webber, B., Cohn, T., He, Y., Liu, Y.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques In: Webber, B., Cohn, T., He, Y., Liu, Y

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:22.081341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b592017-5ce6-4c5c-adb7-ca5e496cc774 · outbound

This paper cites https://doi.org/ 10.18653/v1/2021.naacl-srw.20.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques https://doi.org/ 10.18653/v1/2021.naacl-srw.20

Reference 165

Resolution: verified exact; doi, observed 2026-08-06T19:37:22.424002Z

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.

Observation 762fd8ea-bad0-42ed-803b-14043da0ee71 · outbound

This paper cites https://doi.org/10.18653/v1/N18-2097.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques https://doi.org/10.18653/v1/N18-2097

Reference 621

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:20.530480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09936146-05d4-49f4-9fcf-792f31058ca9 · outbound

This paper cites https://doi.org/10.18653/v1/D19-1387.

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques https://doi.org/10.18653/v1/D19-1387

Reference 3740

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:18.817989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b7f1dc6e-ce18-4a39-a432-a33689a899cb · inbound

Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends cites this paper.

Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-18T22:46:53.224073Z

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.

Observation 7524fdb2-de73-4eb3-a746-f6a539e73ecd · inbound

Making AI Evaluation Deployment Relevant Through Context Specification cites this paper.

Making AI Evaluation Deployment Relevant Through Context Specification An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T14:50:05.163219Z

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.