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Paper Citation Record · LEDGER

Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach

As of 20 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2505.02952.

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

pith.paper-citation-record.v1
2505.02952 v2

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:41:07.287843Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

24 of 24 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5f1689f1-9b89-4719-ac76-de1d866a67f7 · outbound

This paper cites The Language Model Understood the Prompt was Ambiguous: Probing Syntactic Uncertainty Through Generation.

Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach The Language Model Understood the Prompt was Ambiguous: Probing Syntactic Uncertainty Through Generation

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-08-16T00:41:07.544748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T00:41:07.167314Z digest=sha256:3ff99a08ce605cacb01369286dbdf26c2c89e1d1bff2e6e689cb04eca05fbf55

Observation 8819d85c-b5cb-4dd9-baf9-ab6d56a051a8 · outbound

This paper cites Journal of Elec- trical Systems and Information Technology 11(1), 22 (2024).

Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach Journal of Elec- trical Systems and Information Technology 11(1), 22 (2024)

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:41:07.759420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T00:41:07.173797Z digest=sha256:61a6e452828491665e2547dc9221b59cb5a7c6356859c9179d9d1e6cbaddf2ff

Observation 05513e62-31ea-4762-80c6-038bc71003cd · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach On the Opportunities and Risks of Foundation Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T00:41:07.179442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:41:07.179442Z digest=sha256:99cd42e08147eb9c287e7262d9060d21090672b79a8eb18fc98dfb6b856ebdc7

Observation 87d28243-db16-497f-acb2-522f8a55e6b6 · outbound

This paper cites In: Advances in Neural Information Pro- cessing Systems (2020).

Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach In: Advances in Neural Information Pro- cessing Systems (2020)

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:41:07.744069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T00:41:07.184821Z digest=sha256:907810e43897cdbc250cf9e91894efb23a09e0c6b94f9e5ac5d38fec1d26ebfa

Observation 3f4b163c-42fc-49ac-a0f6-aaa8a08b2799 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach Evaluating Large Language Models Trained on Code

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T00:41:07.189497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:41:07.189497Z digest=sha256:c791520919213c3fadfdef5e4ecc67e864f192f4eb00a534291a68df177d6906

Observation 8b613857-e97d-4712-b960-41ada93d481d · outbound

This paper cites Proceedings of the Asia-Pacific Software Engineering Conference (2023).

Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach Proceedings of the Asia-Pacific Software Engineering Conference (2023)

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:41:07.729311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T00:41:07.195025Z digest=sha256:3565f4d6ea9db2468be117505dc809c5c34ac73b776f6cbb02109a527814ab94

Observation 442dd83f-29ed-4f4b-b77d-700c4bd2c40a · outbound

This paper cites In: Proc.

Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach In: Proc

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:41:07.713780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T00:41:07.201436Z digest=sha256:b49fdaa5ab617b5a44a827651b7ec95c650df2b4aa831c06be6988ba70c1eafc

Observation 3bd36f27-428a-4163-bc47-99132dff9a4d · outbound

This paper cites In: Proc.

Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach In: Proc

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:41:07.696037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T00:41:07.206333Z digest=sha256:99d058288c4dd1528037c5b68a8b03f7f82c60fb35a2928bad13ae3d25752784

Observation f671f31f-431a-4ba7-88d7-3913f2b28055 · outbound

This paper cites an unresolved cited work.

Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:41:07.680857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T00:41:07.211582Z digest=sha256:bd129ecced3478456d772ca6a90df8a3c29e0012ba2cf28beb32e8d37e95023d

Observation 18aad7ca-5038-40bf-b765-52167005cfd8 · outbound

This paper cites In: Proceed- ings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach In: Proceed- ings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:41:07.666477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T00:41:07.216724Z digest=sha256:97cc22b7197aae1bee24bdc673ccf6205ddd6ad7650f8d27871150a3f3ec78ae

Observation b9a1c60d-e647-4821-86be-fd3f8b79eb40 · outbound

This paper cites arXiv:2501.15167 (2025).

Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach arXiv:2501.15167 (2025)

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T00:41:07.221350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:41:07.221350Z digest=sha256:5a37e5dab5af9dadb62b766537addc00ee72292d20c6705fa239e3082b6da3bf

Observation 236058ac-be33-4d43-9fa3-33b46b12aa1a · outbound

This paper cites IEEE Transactions on Communications68(1), 26–39 (2019).

Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach IEEE Transactions on Communications68(1), 26–39 (2019)

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:41:07.652019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T00:41:07.225571Z digest=sha256:b482a5cf99026a726b3fe73f8d2c31c2f179723ca7288e578e251b14801cf5e7

Observation bee5a00d-ff6d-44b1-bf22-c84914628adb · outbound

This paper cites Scaling Laws for Neural Language Models.

Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach Scaling Laws for Neural Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T00:41:07.230141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:41:07.230141Z digest=sha256:54d36efc313d4fd1997ea925b73c33bd1ef21ebe2c3dcbc2705107468a242bc3

Observation b94a9815-b7cc-47f5-b78a-e0d5f7e29b87 · outbound

This paper cites IEEE Access (2024).

Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach IEEE Access (2024)

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:41:07.636938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T00:41:07.234811Z digest=sha256:e432c948f5bb9e429ef23b51c5ef9d243ddd554b16891a5e36790ff299436721

Observation 3acebf41-f83e-4505-9ae4-7e92d1b14353 · outbound

This paper cites Advances in Neural Information Processing Systems 36 (2024).

Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach Advances in Neural Information Processing Systems 36 (2024)

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T00:41:07.240130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:41:07.240130Z digest=sha256:6ec6334910824d18dab8d088e286e36fcd8d8a855b915460563ad41459430c36

Observation ded87c5b-914e-46e1-8ead-d83f46b36239 · outbound

This paper cites Generative Artificial Intelligence for Software Engineering -- A Research Agenda.

Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach Generative Artificial Intelligence for Software Engineering -- A Research Agenda

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T00:41:07.244972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:41:07.244972Z digest=sha256:6674d36d6fcf380d4e48dcbfa7429913c5a5756c20414c49fbf30275ed5de670

Observation 0aa52877-f73a-4e59-aafc-020bf81fba7c · outbound

This paper cites In: 2024 5th International Conference on Communications, Information, Electronic and Energy Systems (CIEES).

Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach In: 2024 5th International Conference on Communications, Information, Electronic and Energy Systems (CIEES)

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:41:07.611498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T00:41:07.250023Z digest=sha256:3859ba2e720d5351cad88ded75fe0982cc575cef5451f76d9096838c22a89bd0

Observation 745ce9ce-697d-445c-94fa-9c3c7970c630 · outbound

This paper cites Training language models to follow instructions with human feedback.

Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach Training language models to follow instructions with human feedback

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-16T00:41:07.254983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:41:07.254983Z digest=sha256:66c1d65a9dfa754a6b988c146e0e30b33687d3b7ded7dc9c8783e341bb52de95

Observation a3a09963-c545-4666-9500-73d7ff813cf1 · outbound

This paper cites an unresolved cited work.

Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:41:07.594721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T00:41:07.260204Z digest=sha256:e9be0ebf47337f7451861ccac347b8325256b716c39cf5200195239bc9bf7c26

Observation 3452734a-d2da-4fbb-a264-33ffd4ac31a7 · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-16T00:41:07.266135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:41:07.266135Z digest=sha256:854ff25e253041009b13eaa58c622819c98c477438724a290e8f75ba31985a19

Observation e25cd28b-fd9a-4e06-bbc4-bc09593cc80f · outbound

This paper cites SpreadsheetLLM: Encoding Spreadsheets for Large Language Models.

Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach SpreadsheetLLM: Encoding Spreadsheets for Large Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-16T00:41:07.271152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:41:07.271152Z digest=sha256:6407c0f572635248cb6cd5d8fec4df70f8855f9843f82794f54d2b482d32b33a

Observation 4f1537c1-b41c-4638-87ab-77233b981b3e · outbound

This paper cites IEEE Transactions on Software Engineering (11) (2023).

Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach IEEE Transactions on Software Engineering (11) (2023)

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:41:07.577200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T00:41:07.276348Z digest=sha256:7551e03ac773802e62205d62874fcb00c9e215f31dd68a2e490e6ca8b0a571fc

Observation b54c5a29-cab7-4678-b595-1ea6c8c04b12 · outbound

This paper cites Interactive Natural Language Processing.

Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach Interactive Natural Language Processing

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T00:41:07.281477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:41:07.281477Z digest=sha256:bcebbcc59f9c0e6dd08233af338788434cf99080b39bc31195db9a63cf528da1

Observation f36e47db-4e66-4643-a532-9488d26078f1 · outbound

This paper cites AI Open 2, 85–92 (2021).

Iterative Resolution of Prompt Ambiguities Using a Progressive Cutting-Search Approach AI Open 2, 85–92 (2021)

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:41:07.561049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T00:41:07.287843Z digest=sha256:5ba5e6626e8ae82f5802101414c0b394cba05973c20ba5f24a4d6572e46a4bf6

Pith citing papers

No inbound Pith citation observations are available.