Paper Citation Record · LEDGER

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting

As of 22 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2412.17891.

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

pith.paper-citation-record.v1
2412.17891 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:21:05.262913Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

verified exact0
verified fuzzy11
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 91466df9-935e-4bb9-ae4b-92e71177735b · outbound

This paper cites GPT-4 Technical Report.

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T05:21:05.082867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76da4440-4ee8-4135-9a51-3b6b73204bb2 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting Training Verifiers to Solve Math Word Problems

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T05:21:05.089230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42bc5b84-23a5-4535-845a-f63ba8ff5f46 · outbound

This paper cites Active Prompting with Chain-of-Thought for Large Language Models.

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting Active Prompting with Chain-of-Thought for Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T05:21:05.094662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fda30348-c2b4-499f-b213-95280108f1c0 · outbound

This paper cites Association for Computational Linguistics (2019).

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting Association for Computational Linguistics (2019)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:21:05.852181Z

Source-reported events for the cited work

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

Observation 2ac0cf24-904c-4598-b90f-d514357f1fc8 · outbound

This paper cites In: The Eleventh International Conference on Learning Representations (2022).

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting In: The Eleventh International Conference on Learning Representations (2022)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:21:05.833375Z

Source-reported events for the cited work

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

Observation ee1ec04b-c5a4-4c1f-97a8-e278ee3607ea · outbound

This paper cites Journal of Machine Learning Research 25(262), 1–42 (2024).

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting Journal of Machine Learning Research 25(262), 1–42 (2024)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:21:05.815938Z

Source-reported events for the cited work

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

Observation 715b866d-2171-44e8-bd4f-afa67c92f08f · outbound

This paper cites Transactions of the Association for Computational Linguistics 9, 346–361 (2021).

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting Transactions of the Association for Computational Linguistics 9, 346–361 (2021)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:21:05.797954Z

Source-reported events for the cited work

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

Observation 3e76afdc-2900-4363-8cf0-666766590e09 · outbound

This paper cites Advances in neural information processing systems 35, 22199–22213 (2022).

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting Advances in neural information processing systems 35, 22199–22213 (2022)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T05:21:05.124272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 667a79f0-7798-4c8d-9faf-cf94f92b23d4 · outbound

This paper cites MEAL: Stable and Active Learning for Few-Shot Prompting.

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting MEAL: Stable and Active Learning for Few-Shot Prompting

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T05:21:05.543295Z

Source-reported events for the cited work

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

Observation c57cf483-d9d2-4cb2-96cb-23cff09f29a8 · outbound

This paper cites Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems.

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T05:21:05.135022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28ff02ee-29c9-4e58-ae4b-ef87aa6e7554 · outbound

This paper cites What Makes Good In-Context Examples for GPT-$3$?.

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting What Makes Good In-Context Examples for GPT-$3$?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T05:21:05.141194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bda6c788-011d-488b-8744-7e23c694f022 · outbound

This paper cites Transactions of the Association for Computational Linguistics 12, 157–173 (2024).

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting Transactions of the Association for Computational Linguistics 12, 157–173 (2024)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:21:05.769974Z

Source-reported events for the cited work

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

Observation 56007c92-deb5-48b8-b605-f0db7d5ce80d · outbound

This paper cites Advances in Neural Information Processing Systems 36, 43136–43155 (2023).

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting Advances in Neural Information Processing Systems 36, 43136–43155 (2023)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:21:05.753014Z

Source-reported events for the cited work

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

Observation 2d727dcb-8b9e-46ab-b314-4403b1c1a07b · outbound

This paper cites Active Learning by Acquiring Contrastive Examples.

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting Active Learning by Acquiring Contrastive Examples

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T05:21:05.157266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61ad0c17-bae6-4cc2-9bcb-b1990e893b4b · outbound

This paper cites Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection.

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T05:21:05.163056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 333d08cd-4614-4361-802d-630a7bb1b24c · outbound

This paper cites an unresolved cited work.

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:21:05.736236Z

Source-reported events for the cited work

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

Observation 2bdc165c-a735-41cd-adc4-4224a96b7a44 · outbound

This paper cites Are NLP Models really able to Solve Simple Math Word Problems?.

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting Are NLP Models really able to Solve Simple Math Word Problems?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T05:21:05.175795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f29c801-65cb-4fa8-abdf-b8b08f291051 · outbound

This paper cites A Survey of Active Learning for Text Classification using Deep Neural Networks.

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting A Survey of Active Learning for Text Classification using Deep Neural Networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T05:21:05.181812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12257505-aa3d-4dd9-a904-c6789f66b397 · outbound

This paper cites Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers.

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T05:21:05.188417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2071e796-df29-4034-9e40-a0fe70c30a24 · outbound

This paper cites an unresolved cited work.

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T05:21:05.193867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b02a462e-171b-44ee-821d-25a35d731d2d · outbound

This paper cites In: International Conference on Machine Learning.

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting In: International Conference on Machine Learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:21:05.705188Z

Source-reported events for the cited work

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

Observation c01f3151-fcef-4142-9278-b72f3f2cc170 · outbound

This paper cites Selective Annotation Makes Language Models Better Few-Shot Learners.

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting Selective Annotation Makes Language Models Better Few-Shot Learners

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T05:21:05.207176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04937a05-50cc-4d0e-b34b-5f92e4bbb5b0 · outbound

This paper cites In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers).

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:21:05.687628Z

Source-reported events for the cited work

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

Observation 44a9b64f-4d34-4cd0-a438-689fb7105b82 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T05:21:05.218581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9180fcde-1c88-4f6f-bfce-5bcb02ce86b2 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T05:21:05.224156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08b4dd98-064f-40e1-abd3-69fb6be4fb6c · outbound

This paper cites Transactions on Machine Learning Research (2022).

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting Transactions on Machine Learning Research (2022)

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T05:21:05.230034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 046e3adb-83ed-43f4-8084-76db80831093 · outbound

This paper cites Advances in neural information processing systems 35, 24824–24837 (2022).

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting Advances in neural information processing systems 35, 24824–24837 (2022)

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T05:21:05.235226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 174dbe28-e483-400b-a52e-d63b1b4c38bb · outbound

This paper cites Automatic Chain of Thought Prompting in Large Language Models.

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting Automatic Chain of Thought Prompting in Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T05:21:05.240278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 039bb378-3d51-4d71-af8a-ab184f89c6c7 · outbound

This paper cites A Survey of Large Language Models.

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting A Survey of Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T05:21:05.245949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd99b64b-285f-4373-a14c-6aeb2133b0e5 · outbound

This paper cites In: Findings of the Association for Computational Linguistics: EMNLP 2020.

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting In: Findings of the Association for Computational Linguistics: EMNLP 2020

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:21:05.647259Z

Source-reported events for the cited work

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

Observation d0deb236-0cff-4783-bea2-1aebb96a61cf · outbound

This paper cites In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:21:05.629960Z

Source-reported events for the cited work

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

Observation efee3667-01d1-4f19-a2f5-c1d4f153045a · outbound

This paper cites In: 22nd International Conference on Computational Linguistics, Coling 2008.

The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting In: 22nd International Conference on Computational Linguistics, Coling 2008

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:21:05.612171Z

Source-reported events for the cited work

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

Pith citing papers

No inbound Pith citation observations are available.