Paper Citation Record · LEDGER

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming

As of 21 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 7 inbound Pith citation observations for arXiv:2504.21304.

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

pith.paper-citation-record.v1
2504.21304 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:09:41.342257Z

measured 33 of 33 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:57:43.272887Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:29:12.645705Z

Reference resolution

26 of 26 outbound references displayed

verified exact0
verified fuzzy14
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ba68e0f2-67cc-431b-b5f4-41475dd28b3b · outbound

This paper cites Evolutionary Large Language Model for Automated Feature Transformation.

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming Evolutionary Large Language Model for Automated Feature Transformation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T05:09:41.256050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fd03268-7ff3-4fd4-9622-5ef7e908cb36 · outbound

This paper cites Neuro-symbolic embedding for short and effective feature selection via autoregressive generation.

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming Neuro-symbolic embedding for short and effective feature selection via autoregressive generation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:09:41.662027Z

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.

Observation 04d4087e-0e29-408c-8b08-c926128e7967 · outbound

This paper cites Large language models for automated data science: Introducing caafe for context-aware automated feature engineering.

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming Large language models for automated data science: Introducing caafe for context-aware automated feature engineering

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:09:41.651856Z

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.

Observation 6144ed61-c4cb-4143-8101-bcc9c02e7e94 · outbound

This paper cites The autofeat python library for automated feature engineering and selection.

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming The autofeat python library for automated feature engineering and selection

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T05:09:41.269094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1906640f-803d-46c1-8be5-d4c897695db9 · outbound

This paper cites Reinforcement feature transformation for polymer property performance prediction.

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming Reinforcement feature transformation for polymer property performance prediction

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:09:41.634640Z

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.

Observation 70dded88-727c-4505-8aca-8500608f792f · outbound

This paper cites Deep feature synthesis: Towards automating data science endeavors.

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming Deep feature synthesis: Towards automating data science endeavors

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T05:09:41.275816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0902be76-5280-48e0-8b05-617d8351a822 · outbound

This paper cites Explorekit: Automatic feature generation and selection.

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming Explorekit: Automatic feature generation and selection

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:09:41.619031Z

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.

Observation e22c6ce3-c17d-442d-af53-01d81cab9cb7 · outbound

This paper cites Feature engineering for predictive modeling using reinforcement learning.

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming Feature engineering for predictive modeling using reinforcement learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:09:41.609506Z

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.

Observation de93ce35-ab5f-4161-a9c2-0c267e41c3c1 · outbound

This paper cites Large language models in finance: A survey.

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming Large language models in finance: A survey

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:09:41.599850Z

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.

Observation 814011d2-cd57-40cb-ab1f-031e3b2be96c · outbound

This paper cites Augmenting interpretable models with large language models during training.

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming Augmenting interpretable models with large language models during training

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:09:41.590351Z

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.

Observation 310e2282-9628-43b4-a8ae-2cd72febe3ec · outbound

This paper cites Group-wise reinforcement feature generation for optimal and explainable representation space reconstruction.

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming Group-wise reinforcement feature generation for optimal and explainable representation space reconstruction

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T05:09:41.292092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67b410c8-8666-45ef-9a4f-c545f742584c · outbound

This paper cites Reinforcement-enhanced autoregressive feature transformation: Gradient-steered search in continuous space for postfix expressions.

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming Reinforcement-enhanced autoregressive feature transformation: Gradient-steered search in continuous space for postfix expressions

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:09:41.572938Z

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.

Observation 6b2b830e-38de-4e7c-9d18-c6498dda4f9f · outbound

This paper cites Is rlhf more difficult than standard rl? a theoretical perspective.

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming Is rlhf more difficult than standard rl? a theoretical perspective

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:09:41.563162Z

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.

Observation 360bfe83-4fae-492d-8ea5-9bc0b1164923 · outbound

This paper cites Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent.

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T05:09:41.302190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b06f684e-fe14-40b3-a56f-b9a607587247 · outbound

This paper cites LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations.

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T05:09:41.305998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2b1140d-792d-4bb8-834d-9712542171ff · outbound

This paper cites Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation.

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T05:09:41.309900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87b3cd06-6e48-4227-8aa3-951321f8930b · outbound

This paper cites MixLLM: Dynamic Routing in Mixed Large Language Models.

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming MixLLM: Dynamic Routing in Mixed Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T05:09:41.313625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf9dc5cc-f6e0-4827-b3ca-101d3b4467c4 · outbound

This paper cites Transformer-based offline printing strategy design for large format additive manufacturing.

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming Transformer-based offline printing strategy design for large format additive manufacturing

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:09:41.553085Z

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.

Observation 541d677f-24e0-4826-bb7e-43a49a186255 · outbound

This paper cites Self-optimizing feature generation via categorical hashing representation and hierarchical reinforcement crossing.

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming Self-optimizing feature generation via categorical hashing representation and hierarchical reinforcement crossing

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T05:09:41.320342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13674de4-3a71-4809-b8b5-93739bb9ade5 · outbound

This paper cites Unsupervised generative feature transformation via graph contrastive pre-training and multi-objective fine-tuning.

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming Unsupervised generative feature transformation via graph contrastive pre-training and multi-objective fine-tuning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:09:41.535579Z

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.

Observation 62f52e72-b322-41ce-b915-32f8b3d166a0 · outbound

This paper cites A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective.

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T05:09:41.327083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1508cdb6-4bec-4dcd-98ad-290856dc14e1 · outbound

This paper cites Rlhf-v: Towards trustworthy mllms via behavior alignment from fine-grained correctional human feedback.

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming Rlhf-v: Towards trustworthy mllms via behavior alignment from fine-grained correctional human feedback

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:09:41.525011Z

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.

Observation 607b6bfe-5997-40fb-b53e-8f1301c3a67c · outbound

This paper cites Openfe: automated feature generation with expert-level performance.

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming Openfe: automated feature generation with expert-level performance

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:09:41.514679Z

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.

Observation 3e883681-89ac-4347-b007-cf1f69a2e217 · outbound

This paper cites Dynamic and adaptive feature generation with llm.

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming Dynamic and adaptive feature generation with llm

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T05:09:41.336658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1604ff6-2be7-40bf-9748-726001300502 · outbound

This paper cites Evolutionary automated feature engineering.

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming Evolutionary automated feature engineering

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:09:41.503358Z

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.

Observation 882fb806-3222-4477-822e-e2681f12256e · outbound

This paper cites write newline.

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming write newline

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T05:09:41.342257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b94ab9c0-e895-4f3e-b10c-27f0ec87a3f6 · inbound

Agentic Feature Augmentation: Unifying Selection and Generation with Teaming, Planning, and Memories cites this paper.

Agentic Feature Augmentation: Unifying Selection and Generation with Teaming, Planning, and Memories Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:03.165295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66bceadc-084b-4de7-9347-2e7144e3201e · inbound

Sculpting Features from Noise: Reward-Guided Hierarchical Diffusion for Task-Optimal Feature Transformation cites this paper.

Sculpting Features from Noise: Reward-Guided Hierarchical Diffusion for Task-Optimal Feature Transformation Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T15:25:48.693134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f45f2b5-2c32-4251-a34f-387db9e7481c · inbound

Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback cites this paper.

Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T15:19:39.221996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 205d7b38-f93a-46a4-93d7-5394c2c8479b · inbound

Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO$_2$ Storage cites this paper.

Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO$_2$ Storage Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T15:18:54.988886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be0698f3-edf4-4c0f-a3ac-d0d745b82cd5 · inbound

LLM-ML Teaming: Integrated Symbolic Decoding and Gradient Search for Valid and Stable Generative Feature Transformation cites this paper.

LLM-ML Teaming: Integrated Symbolic Decoding and Gradient Search for Valid and Stable Generative Feature Transformation Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:57.204647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc277e5c-1e83-4425-a8bb-106ec7f42b40 · inbound

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives cites this paper.

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:29:12.715332Z

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.

Observation ea0d5fd2-1174-4dda-817e-7dcbd7b26f41 · inbound

Distribution Shift Aware Neural Tabular Learning cites this paper.

Distribution Shift Aware Neural Tabular Learning Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T16:57:43.272887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.