Paper Citation Record · LEDGER

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples

As of 8 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2507.23211.

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

pith.paper-citation-record.v1
2507.23211 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:01:54.612434Z

measured 28 of 28 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 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

28 of 28 outbound references displayed

verified exact0
verified fuzzy14
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6a64f11b-f352-413e-8dce-d510434d0d57 · outbound

This paper cites In-context Examples Selection for Machine Translation.

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples In-context Examples Selection for Machine Translation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T11:01:54.431180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 131b225f-0279-43c6-86c8-d0cc4b841d2a · outbound

This paper cites In: Findings of the Asso ciation for Computational Linguistics: EMNLP 2024.

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples In: Findings of the Asso ciation for Computational Linguistics: EMNLP 2024

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:01:55.240851Z

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 c723450e-6244-4637-a420-131d7bf931e3 · outbound

This paper cites Learning From Mistakes Makes LLM Better Reasoner.

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples Learning From Mistakes Makes LLM Better Reasoner

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T11:01:54.451947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a46ad40-0ce2-464e-a155-57396ff235fb · outbound

This paper cites Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks.

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T11:01:54.459186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b75aea19-1c1e-4592-90ab-1172d1268f1d · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples Training Verifiers to Solve Math Word Problems

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T11:01:54.467949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c418d35-dfb0-42a9-aba3-03858334cf2a · outbound

This paper cites T ransactions of the Association for Computa- tional Linguistics 9, 346–361 (2021).

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples T ransactions of the Association for Computa- tional Linguistics 9, 346–361 (2021)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:01:55.224747Z

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 5f47ce44-d296-41ea-8d0c-28acf799aa52 · outbound

This paper cites : Learning to solve arithmetic word problems with verb categorization.

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples : Learning to solve arithmetic word problems with verb categorization

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:01:55.204176Z

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 a3187f4c-d52a-4aa9-93c3-1ea6956966b9 · outbound

This paper cites Advances in neural information processing systems 35, 22199–22213 (2022) Title Suppressed Due to Excessive Length 9.

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples Advances in neural information processing systems 35, 22199–22213 (2022) Title Suppressed Due to Excessive Length 9

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:01:55.187319Z

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 4fedfe90-def9-409d-97de-4ea7ef395b7c · outbound

This paper cites Transactions of the Association f or Computational Linguistics 3, 585–597 (2015).

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples Transactions of the Association f or Computational Linguistics 3, 585–597 (2015)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:01:55.171159Z

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 ba9493e1-2fef-47d4-bd99-c86c54ed1aca · outbound

This paper cites CoRR (2023).

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples CoRR (2023)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:01:55.154049Z

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 81dc5ff4-6697-4ae1-9201-6637b9ee2fd5 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artiﬁcial Intelligence.

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples In: Proceedings of the AAAI Conference on Artiﬁcial Intelligence

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:01:55.137185Z

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 e5a44f15-cc18-45fd-9afe-c1110b46fcc7 · outbound

This paper cites In: International Conference on Intelligent Computing.

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples In: International Conference on Intelligent Computing

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:01:55.114438Z

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 bb924638-fca9-4c27-81c3-98842070029a · outbound

This paper cites In: International Conference on Intelligent Computing.

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples In: International Conference on Intelligent Computing

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:01:55.095672Z

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 f88829ff-e1a4-4b47-8de0-0de731f8ed83 · outbound

This paper cites Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity.

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T11:01:54.523163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ff23786-50ca-40b5-99ba-1acc4bbeee9b · outbound

This paper cites Dr.ICL: Demonstration-Retrieved In-context Learning.

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples Dr.ICL: Demonstration-Retrieved In-context Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T11:01:54.528660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aea9384c-8ee5-42dd-b72e-910f144e4424 · outbound

This paper cites Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvement.

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvement

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T11:01:54.830912Z

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 79f18603-bbab-4cc1-b99d-9b414a4db105 · outbound

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

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples Are NLP Models really able to Solve Simple Math Word Problems?

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T11:01:54.542337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1e902d5-8e33-41e6-b6a0-d3e1fe286b3e · outbound

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

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples OpenAI blog 1(8), 9 (2019)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:01:55.070282Z

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 efb9085e-2603-4c33-b460-6db97b7f6b0c · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T11:01:54.557382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec294ff2-d424-40ee-9106-f5bf5651e6fe · outbound

This paper cites In: Extended abstracts of the 2021 CHI conference on human factors in computing systems.

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples In: Extended abstracts of the 2021 CHI conference on human factors in computing systems

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:01:55.046166Z

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 cf50ee82-a89d-49c5-a8ac-35045c61b7ad · outbound

This paper cites Learning To Retrieve Prompts for In-Context Learning.

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples Learning To Retrieve Prompts for In-Context Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T11:01:54.569887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1049b5e8-888c-43a2-a426-cc08a227a343 · outbound

This paper cites CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge.

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T11:01:54.575803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6963d8d7-36e9-4867-bf66-76fab149ee31 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples LLaMA: Open and Efficient Foundation Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T11:01:54.581845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4e06b82-bd39-4f15-ab16-d15724813d61 · outbound

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

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T11:01:54.587477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 668e99bb-0506-4ba7-a64d-d523cb1b443b · outbound

This paper cites ACM Transactions on Knowledge Discovery from Data 18(6), 1–32 (2024).

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples ACM Transactions on Knowledge Discovery from Data 18(6), 1–32 (2024)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:01:55.025764Z

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 9d64ec25-909b-4608-9e48-cfb5c7cf4c39 · outbound

This paper cites In: Inter- national Conference on Machine Learning.

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples In: Inter- national Conference on Machine Learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:01:54.997509Z

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 ee6d3698-39e9-4156-9d74-cc7fd20e6b75 · outbound

This paper cites Advances in neural information processing systems 35, 30378–30392 (2022).

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples Advances in neural information processing systems 35, 30378–30392 (2022)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:01:54.977531Z

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 621b4361-28b5-42fc-9824-ab33737b179e · outbound

This paper cites A Survey of Large Language Models.

Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples A Survey of Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T11:01:54.612434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.