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Paper Citation Record · LEDGER

Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning

As of 23 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2504.18827.

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

pith.paper-citation-record.v1
2504.18827 v3

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:12:04.535096Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

17 of 17 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 92bca603-98a4-4399-9fe2-6c0dc3aa4670 · outbound

This paper cites Cambridge University Press, 2 edn.

Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning Cambridge University Press, 2 edn

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:12:04.955550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T10:12:04.456110Z digest=sha256:316a974221608c08d670f65d5cd27cb0662299745e71b1ab5de0a3857e861087

Observation 01aa23f2-dbfc-400c-933d-1b304397e8d4 · outbound

This paper cites IEEE Transactions on Software Engineering41(5), 507–525 (2015).https://doi.org/10.1109/TSE.2014.2372785.

Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning IEEE Transactions on Software Engineering41(5), 507–525 (2015).https://doi.org/10.1109/TSE.2014.2372785

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-16T10:12:04.461642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:12:04.461642Z digest=sha256:223772452bc3777ca24892267a2b33e087439a7319ebd52e1722e841b236e1de

Observation 3dacf390-9f19-45c5-acd7-57ea47616731 · outbound

This paper cites an unresolved cited work.

Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-16T10:12:04.940637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T10:12:04.467038Z digest=sha256:04b96a0c86a2ed6d1a29677bc54c4f9b00f969ff326fefb12f435331cd7bde4e

Observation da095832-0727-49e4-aa99-4f5b142b97b9 · outbound

This paper cites Ragas: Automated Evaluation of Retrieval Augmented Generation.

Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning Ragas: Automated Evaluation of Retrieval Augmented Generation

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T10:12:04.472352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:12:04.472352Z digest=sha256:088e281e33733d703157acc7a8c79c23297be01e5d18f237ebc70fa22f5ad1ca

Observation 63666303-433a-4fb0-9448-0c7743eb71ca · outbound

This paper cites confident-ai.com/(September 2024).

Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning confident-ai.com/(September 2024)

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:12:04.925294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T10:12:04.477917Z digest=sha256:0a3a4483f8d9184ca73d48d9a18a6e228c3cc92788907220de2e143d5ee3c11c

Observation 2524b13d-e141-4d72-99a5-8586e1700ece · outbound

This paper cites In: Nguyen, N.T., Boonsang, S., Fujita, H., Hnatkowska, B., Hong, T., Pasupa, K., Selamat, A.

Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning In: Nguyen, N.T., Boonsang, S., Fujita, H., Hnatkowska, B., Hong, T., Pasupa, K., Selamat, A

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:12:04.910608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T10:12:04.483534Z digest=sha256:5e4285b89501f3d7674b181bc4fb416fd58d135e809f250fa374dd7c34d5da04

Observation f2c49821-9aea-4964-8dc2-38a61309340e · outbound

This paper cites Advances in neural information processing systems35, 22199–22213 (2022).

Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning Advances in neural information processing systems35, 22199–22213 (2022)

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T10:12:04.489091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:12:04.489091Z digest=sha256:a2d939356ff1bdd7d5ca6eae673a1b53ec971b4ba21096609817f20cd5fcb3fa

Observation 781844ff-726c-4eee-a1c5-ad54db6f86a1 · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems (2023).

Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning IEEE Transactions on Neural Networks and Learning Systems (2023)

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:12:04.885160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T10:12:04.494075Z digest=sha256:2cbd7ee70a89da99740e81ccb224e4635f685025f939ff2117e0ceccb955920f

Observation 1e55ae5a-b975-42ee-9ecc-f7a9a758d606 · outbound

This paper cites Evaluating the Robustness of Neural Language Models to Input Perturbations.

Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning Evaluating the Robustness of Neural Language Models to Input Perturbations

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T10:12:04.498683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:12:04.498683Z digest=sha256:2b8dee23d2f4b11ad424c971f68a1f41ca996c12cfc8d40b8a5b03f6f826b533

Observation 713cc07f-46f4-4e7e-a450-9f62d621acce · outbound

This paper cites Kaggle (2023), available athttps://www.

Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning Kaggle (2023), available athttps://www

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:12:04.868458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T10:12:04.503265Z digest=sha256:f614861f096e1d903212a352b7615a16145357dc3725330a98792afcc07efb12

Observation c486bc91-26a7-49d2-93ba-3cad18704b09 · outbound

This paper cites McGraw-Hill, Inc., USA, 7 edn.

Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning McGraw-Hill, Inc., USA, 7 edn

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:12:04.852512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T10:12:04.507458Z digest=sha256:46597a4a5df04b622d0e912c0e2e16b8bf0d7bd35736f48a891bd15d570672a2

Observation 1edf7454-84f9-4998-95da-23393d5892cc · outbound

This paper cites In: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence.

Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning In: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:12:04.836761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T10:12:04.511902Z digest=sha256:1ec4df3c88b3773e360ce2f88661b79522345f21af9fef36ac7a540c25557768

Observation faaffbd9-02cd-4b26-a7ee-13fc1939b563 · outbound

This paper cites IEEE Transactions on Software Engineering42, 805–824 (9 2016).https: //doi.org/10.1109/TSE.2016.2532875.

Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning IEEE Transactions on Software Engineering42, 805–824 (9 2016).https: //doi.org/10.1109/TSE.2016.2532875

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T10:12:04.516743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:12:04.516743Z digest=sha256:1aea0dc931ac2efb93094d0edd68bc7bdd08313472055563a53a9454ffbe040f

Observation 9e3aab0d-a32f-4332-88ba-27d565f90ea6 · outbound

This paper cites Hugging Face Datasets (2023), available athttps:// huggingface.co/datasets/voidful/StrategyQA.

Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning Hugging Face Datasets (2023), available athttps:// huggingface.co/datasets/voidful/StrategyQA

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:12:04.821823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T10:12:04.521528Z digest=sha256:adf3a201e6a74ed554a42a8d1ed19a7af03e19cd83f3c9fee02894c2d8096aa9

Observation bc0cba6b-37f2-49f6-94fb-c0574da781e4 · outbound

This paper cites In: Amigó, E., Castells, P., Gonzalo, J., Carterette, B., Culpepper, J.S., Kazai, G.

Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning In: Amigó, E., Castells, P., Gonzalo, J., Carterette, B., Culpepper, J.S., Kazai, G

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:12:04.805691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T10:12:04.526012Z digest=sha256:98f4662e80a181d39ac3fbf9c452639580b723eae9561aa9e13dcd68e040fb7e

Observation 6d1b62ac-3092-4f55-b5a7-41db5df60d2b · outbound

This paper cites Journal of Machine Learning Research 25(254), 1–22 (2024).

Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning Journal of Machine Learning Research 25(254), 1–22 (2024)

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T10:12:04.530510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:12:04.530510Z digest=sha256:cc55265842c9a9554fdb809e762678777de9d38fcb204ff721962ed39b052e22

Observation 32c406cf-970a-40a1-83f3-3d5bf93aee47 · outbound

This paper cites IEEE Access10, 67047–67057 (2022).

Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning IEEE Access10, 67047–67057 (2022)

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:12:04.778616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T10:12:04.535096Z digest=sha256:b2dfc0a4e476bc62bcff89c370f044e9bbfa8c31737ed473da26e478168aa4de

Pith citing papers

No inbound Pith citation observations are available.