Paper Citation Record · LEDGER

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization

As of 5 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 2 inbound Pith citation observations for arXiv:2605.21318.

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

pith.paper-citation-record.v1
2605.21318 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T05:00:49.763040Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T18:26:56.988465Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T22:26:17.984520Z

Reference resolution

54 of 54 outbound references displayed

verified exact18
verified fuzzy32
unresolved2
parse uncertain1
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3a9d7fee-4c26-442a-9342-c8f64e83b536 · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.859656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dd860c8a-0842-46c6-80c0-a9967bed0f47 · outbound

This paper cites GPT-4 Technical Report.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization GPT-4 Technical Report

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:03:58.000214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8e8e1e75-72c7-40dc-aac5-3d06c23b465a · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Gemini: A Family of Highly Capable Multimodal Models

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:03:58.008168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ed523a5b-488b-412a-a0ab-fd4baa99d464 · outbound

This paper cites MASCOT: Towards Multi-Agent Socio-Collaborative Companion Systems.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization MASCOT: Towards Multi-Agent Socio-Collaborative Companion Systems

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-02T02:04:13.222420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 30d6f451-35af-4e29-b918-0ff5d5331582 · outbound

This paper cites Companioncast: A multi-agent conversational ai framework with spatial audio for social co-viewing experiences.ACM CHI 2026 Workshop on Human-Agent Collaboration.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Companioncast: A multi-agent conversational ai framework with spatial audio for social co-viewing experiences.ACM CHI 2026 Workshop on Human-Agent Collaboration

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.812380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0fc4b583-994a-49e5-b425-96b0b1652cb5 · outbound

This paper cites gradient descent.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization gradient descent

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.803325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0fb1cb0b-ec8c-4c32-b640-611df2b15c99 · outbound

This paper cites Teach better or show smarter? on instructions and exemplars in automatic prompt optimization.NeurIPS, 37:58174–58244.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Teach better or show smarter? on instructions and exemplars in automatic prompt optimization.NeurIPS, 37:58174–58244

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.806930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2bf1dd20-57b9-4cfe-a819-462c59a51399 · outbound

This paper cites TextGrad: Automatic "Differentiation" via Text.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization TextGrad: Automatic "Differentiation" via Text

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:03:58.037275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5fe26cc5-7bba-47ed-b0f3-b65898130b07 · outbound

This paper cites Prosa: Assessing and understanding the prompt sensitivity of llms.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Prosa: Assessing and understanding the prompt sensitivity of llms

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.808568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b5ec7bef-dea4-45a7-a411-4775fe1b72f2 · outbound

This paper cites Self-regulating prompts: Foundational model adaptation without forgetting.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Self-regulating prompts: Foundational model adaptation without forgetting

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.810658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 01271660-7692-4548-85e3-8ada6e941d04 · outbound

This paper cites Same task, more tokens: the impact of input length on the reasoning performance of large language models.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Same task, more tokens: the impact of input length on the reasoning performance of large language models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.798123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 66ab4021-1d27-490c-b366-81da386203d6 · outbound

This paper cites Lost in the middle: How language models use long contexts.Transactions of the association for computational linguistics, 12:157–173.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Lost in the middle: How language models use long contexts.Transactions of the association for computational linguistics, 12:157–173

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.801066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation add6c128-cd15-4c5b-91b5-6b63e660b735 · outbound

This paper cites Sara: Selective and adaptive retrieval-augmented generation with context compression.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Sara: Selective and adaptive retrieval-augmented generation with context compression

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.805053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5b3a03d3-8751-4d73-979b-a1f0074cc91c · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.815199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3d6ac22c-bba3-4597-ba2d-4ddf738fa57d · outbound

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

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:03:57.995469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 75dcf14c-2636-48ab-87b5-43a5bcaf33bc · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization ReAct: Synergizing Reasoning and Acting in Language Models

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:03:57.998005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fc78468a-12a7-410d-b8bb-fe3fd90002bb · outbound

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

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:03:57.993079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation db62e292-ad47-4590-815d-e51a055a0d8c · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models.Advances in neural informa- tion processing systems, 36:11809–11822.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Tree of thoughts: Deliberate problem solving with large language models.Advances in neural informa- tion processing systems, 36:11809–11822

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.790274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 64fae4b9-687c-4ca0-aafc-88ac75c84f1b · outbound

This paper cites Autoprompt: Eliciting knowledge from language models with automatically generated prompts.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Autoprompt: Eliciting knowledge from language models with automatically generated prompts

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.792012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 299e6464-ef87-4150-bff3-c3a8366a497b · outbound

This paper cites Rlprompt: Optimizing discrete text prompts with reinforcement learning.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Rlprompt: Optimizing discrete text prompts with reinforcement learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.793803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8d03d059-ede2-4328-aeeb-6a34ba28695d · outbound

This paper cites Large language models are human-level prompt engineers.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Large language models are human-level prompt engineers

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.796367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 906acfff-0796-43b0-a484-1c4517cbd42d · outbound

This paper cites EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:03:58.014028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2d70de9c-b7fa-4bda-8e2d-2e9c254677a0 · outbound

This paper cites Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:03:57.990626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6c5fb93a-5ab5-4952-b17f-9313b26e833f · outbound

This paper cites DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:03:58.019619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7d29d5ab-841c-4c71-a70a-1399db731b02 · outbound

This paper cites REVOLVE: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization REVOLVE: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T05:03:57.988132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 379f775b-ebd4-4307-a4fc-5d1fae606c25 · outbound

This paper cites Sipdo: Closed-loop prompt optimization via synthetic data feedback.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Sipdo: Closed-loop prompt optimization via synthetic data feedback

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:03:58.022321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7a269d69-f2e9-40fb-86ef-e27f0594bd30 · outbound

This paper cites Robust prompt optimization for large language models against distribution shifts.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Robust prompt optimization for large language models against distribution shifts

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.788586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4ba05a5b-4ba7-4fb9-9ac7-a29d548eee9b · outbound

This paper cites Beyond magic words: Sharpness-aware prompt evolving for robust large language models with tare.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Beyond magic words: Sharpness-aware prompt evolving for robust large language models with tare

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:03:58.030999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f4798ee8-6c12-4d46-aba9-dfd6e2ae573d · outbound

This paper cites DLPO: Towards a Robust, Efficient, and Generalizable Prompt Optimization Framework from a Deep-Learning Perspective.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization DLPO: Towards a Robust, Efficient, and Generalizable Prompt Optimization Framework from a Deep-Learning Perspective

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:03:58.016989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 518a1191-3cf8-48d0-993c-735c47a11a60 · outbound

This paper cites Reflection-Enhanced Meta-Optimization Integrating TextGrad-style Prompt Optimization with Memory-Driven Self-Evolution.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Reflection-Enhanced Meta-Optimization Integrating TextGrad-style Prompt Optimization with Memory-Driven Self-Evolution

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:03:58.011408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e51749ec-be94-4047-9306-afd00e9a5767 · outbound

This paper cites Ridge regression: Biased estimation for nonorthogonal problems.Technometrics, 12(1):55–67.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Ridge regression: Biased estimation for nonorthogonal problems.Technometrics, 12(1):55–67

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.817728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 47e64b2a-c5e8-4b0e-94df-7112419e9c0f · outbound

This paper cites A simple weight decay can improve generalization.Advances in neural information processing systems, 4.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization A simple weight decay can improve generalization.Advances in neural information processing systems, 4

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.819514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0cefb57d-a27d-47dc-a4b5-30e4c21e7b49 · outbound

This paper cites Regularization of neural networks using dropconnect.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Regularization of neural networks using dropconnect

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.851441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 36c61cfc-6475-4b65-928d-51c9d795cbb4 · outbound

This paper cites Dropout: a simple way to prevent neural networks from overfitting.The journal of machine learning research, 15(1):1929–1958.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Dropout: a simple way to prevent neural networks from overfitting.The journal of machine learning research, 15(1):1929–1958

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.854204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a00ce547-107c-4a21-9bd2-a558bfdc5261 · outbound

This paper cites Regression shrinkage and selection via the lasso.Journal of the Royal Statistical Society Series B: Statistical Methodology, 58(1):267–288.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Regression shrinkage and selection via the lasso.Journal of the Royal Statistical Society Series B: Statistical Methodology, 58(1):267–288

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.857097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0a6bc19d-a215-4533-808e-a5d3e812a780 · outbound

This paper cites Regularization and variable selection via the elastic net.Journal of the Royal Statistical Society Series B: Statistical Methodology, 67(2):301–320.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Regularization and variable selection via the elastic net.Journal of the Royal Statistical Society Series B: Statistical Methodology, 67(2):301–320

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.847641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fed1a4bd-e3df-4bcd-8b11-8ad58a8e46f1 · outbound

This paper cites Overfitting in neural nets: Backpropagation, conjugate gradient, and early stopping.Advances in neural information processing systems, 13.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Overfitting in neural nets: Backpropagation, conjugate gradient, and early stopping.Advances in neural information processing systems, 13

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.842271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4493b371-5a93-44e6-bee3-40899e07853b · outbound

This paper cites Prefix-tuning: Optimizing continuous prompts for generation.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Prefix-tuning: Optimizing continuous prompts for generation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.840389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ddcf5691-5617-4685-98f7-a4e3861bbf72 · outbound

This paper cites The power of scale for parameter-efficient prompt tuning.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization The power of scale for parameter-efficient prompt tuning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.843953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4cc3cd7e-bdaa-4380-a767-39f3c78b6840 · outbound

This paper cites P-tuning: Prompt tuning can be comparable to fine-tuning across scales and tasks.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization P-tuning: Prompt tuning can be comparable to fine-tuning across scales and tasks

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.845850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b2a7cc70-ecc8-48a0-a4ee-139ff07e9990 · outbound

This paper cites Challenging big-bench tasks and whether chain-of-thought can solve them.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Challenging big-bench tasks and whether chain-of-thought can solve them

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.832409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 789a121c-8270-4ab2-9160-1ce5606b2b1a · outbound

This paper cites Beyond the imitation game: Quantifying and extrapolating the capabilities of language models.Transactions on machine learning research.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Beyond the imitation game: Quantifying and extrapolating the capabilities of language models.Transactions on machine learning research

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.835941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 770072f9-5e67-4d8a-81a5-05b95ca1d141 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Training Verifiers to Solve Math Word Problems

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:03:58.024832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 18479d25-0e46-4b0d-a2d6-ec11ec3dc8b8 · outbound

This paper cites an unresolved cited work.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-05-21T05:03:58.830552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 31b3c717-37f1-41b7-b14e-7e18ab8f9234 · outbound

This paper cites Solving general arithmetic word problems.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Solving general arithmetic word problems

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.838656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b73646e9-117f-460c-ac49-736783b4393e · outbound

This paper cites Mawps: A math word problem repository.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Mawps: A math word problem repository

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.849772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f30f16f7-702c-447e-a5ba-f687cccab994 · outbound

This paper cites Qwen2 Technical Report.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Qwen2 Technical Report

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:03:58.027389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 155aa08f-33b1-4158-8217-3c36b883a27a · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:03:58.034140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f06ad41a-a109-49fa-82f3-3f6d03f2273a · outbound

This paper cites The Llama 3 Herd of Models.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization The Llama 3 Herd of Models

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:03:58.005702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 79a79597-32f2-4148-becf-31fe742d69b2 · outbound

This paper cites an unresolved cited work.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-05-21T05:03:58.826674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 85926ce8-720f-4542-96de-e046b1352b4b · outbound

This paper cites Gpt-4o.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Gpt-4o

Reference 52

Resolution: parse uncertain; raw_fallback, observed 2026-05-21T05:03:58.828280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 212f7188-e5a2-443b-9c90-415c59d54ee9 · outbound

This paper cites Think step-by-step.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Think step-by-step

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.822911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6b9b2d46-b36d-40c5-9fb0-2ebfdf2ba93b · outbound

This paper cites Remove references to specific entities, exact numbers, or particular examples.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Remove references to specific entities, exact numbers, or particular examples

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.821107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7353538f-8b69-479a-8e47-04978d476419 · outbound

This paper cites operations.

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization operations

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:03:58.824589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation 26b8e14f-f2c0-4e32-9943-193dec970ab8 · inbound

Why Prompt Optimization Works, and Why It Sometimes Doesn't: A Causal-Inspired Edit-Level Analysis cites this paper.

Why Prompt Optimization Works, and Why It Sometimes Doesn't: A Causal-Inspired Edit-Level Analysis TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:33:50.836380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation abe8a45c-f6be-479d-b2c1-169952dd78c9 · inbound

Easier to Mislead Than to Correct: Harmful and Beneficial Revision in LLM Conformity cites this paper.

Easier to Mislead Than to Correct: Harmful and Beneficial Revision in LLM Conformity TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization

Reference 46

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T22:26:17.985684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.