Paper Citation Record · LEDGER

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets

As of 23 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 3 inbound Pith citation observations for arXiv:2504.19898.

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

pith.paper-citation-record.v1
2504.19898 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:43:55.305136Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:40:07.437399Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T13:55:53.301034Z

Reference resolution

36 of 36 outbound references displayed

verified exact1
verified fuzzy5
unresolved30
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5aa926c3-18f9-4fa2-b7e6-7a7574f15015 · outbound

This paper cites Claude 3.5 sonnet.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets Claude 3.5 sonnet

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:43:56.028031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b66b3898-0de0-4f1d-8759-d2a7c3b71f51 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets Training Verifiers to Solve Math Word Problems

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:55.135352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c063cd36-aee4-4250-9f53-dea2c816ea3c · outbound

This paper cites Our next-generation model: Gemini 1.5.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets Our next-generation model: Gemini 1.5

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:43:56.012217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 081da6fd-256f-47b3-997a-d5dd5d570a9b · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:55.146074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 546bc826-f173-40d8-afb7-b96333f77cf9 · outbound

This paper cites Reasoning with Language Model is Planning with World Model.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets Reasoning with Language Model is Planning with World Model

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:55.151322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecea5e92-c61d-439e-b4f0-9adeae4641be · outbound

This paper cites Advancing Process Verification for Large Language Models via Tree-Based Preference Learning.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets Advancing Process Verification for Large Language Models via Tree-Based Preference Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:55.156433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f8acb76-1fec-45ac-9de1-72444056c921 · outbound

This paper cites A Closer Look at the Self-Verification Abilities of Large Language Models in Logical Reasoning.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets A Closer Look at the Self-Verification Abilities of Large Language Models in Logical Reasoning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:55.162103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44b7ddf7-ff7f-48e1-8494-dac5c842035b · outbound

This paper cites REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:55.167991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fc34dc6-f141-4d91-8aa5-e8e644290388 · outbound

This paper cites Large Language Models Cannot Self-Correct Reasoning Yet.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets Large Language Models Cannot Self-Correct Reasoning Yet

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:55.173133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43395219-3aa2-4dea-8dbb-8e7c711bb315 · outbound

This paper cites MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:55.178439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 814e3594-bc20-42d3-a0c3-bd3d1faa31f1 · outbound

This paper cites an unresolved cited work.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:55.183542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49230c4f-9fee-422b-9a0e-ec815d93755d · outbound

This paper cites an unresolved cited work.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:55.188205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f30f6a5c-287e-4ec6-89d2-7749818b0ea6 · outbound

This paper cites In-Context Learning for Text Classification with Many Labels.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets In-Context Learning for Text Classification with Many Labels

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:55.192925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb3f36fb-2fc6-43c8-96cb-2af382c0ea4a · outbound

This paper cites MTEB: Massive Text Embedding Benchmark.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets MTEB: Massive Text Embedding Benchmark

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:55.198173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db2c3021-5e18-4a9a-8f4d-1c233a5c5e11 · outbound

This paper cites Hello gpt-4o.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets Hello gpt-4o

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:43:55.996429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cbcc62fb-59f8-40d2-b85f-58db336930ba · outbound

This paper cites an unresolved cited work.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:55.207496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8f7cd1b-c9c9-4cb5-b6a8-64b38c19d3eb · outbound

This paper cites Exploring Zero and Few-shot Techniques for Intent Classification.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets Exploring Zero and Few-shot Techniques for Intent Classification

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:55.212254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8046cbd0-8df5-420f-b045-d39e503f1f9d · outbound

This paper cites an unresolved cited work.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:43:55.971487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a29fa7fb-aecc-4bf4-a21f-f9e278f3f673 · outbound

This paper cites Is ChatGPT a General-Purpose Natural Language Processing Task Solver?.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets Is ChatGPT a General-Purpose Natural Language Processing Task Solver?

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:55.223083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44935a20-69fd-4bb9-8b7b-59c3dcde572e · outbound

This paper cites D., Ermon, S., and Finn, C.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets D., Ermon, S., and Finn, C

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:43:55.956032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 46465cd3-ddaf-4c08-8cb3-5d81248f21d6 · outbound

This paper cites J., and Lakshminarayanan, B.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets J., and Lakshminarayanan, B

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:43:55.940313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e989a0aa-0f5a-4a00-b0e1-d1f188a54c70 · outbound

This paper cites Enhancing Text Classification through LLM-Driven Active Learning and Human Annotation.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets Enhancing Text Classification through LLM-Driven Active Learning and Human Annotation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:55.237972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0aefdb6-376e-4474-87a7-375f0a3c430f · outbound

This paper cites an unresolved cited work.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets Unresolved cited work

Reference 23

Resolution: verified exact; raw_fallback, observed 2026-08-16T05:43:55.592752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ebbbb1e7-a882-43cd-a396-5eee507c8800 · outbound

This paper cites Proximal Policy Optimization Algorithms.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets Proximal Policy Optimization Algorithms

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:55.247579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0b65536-95ec-407e-b80f-54a72a7f7d92 · outbound

This paper cites an unresolved cited work.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:43:55.924099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 761cecdf-626b-40e8-b7b6-4573c7d85ac8 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:55.256948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5f03c67-be7a-4d52-a8c6-9d0bf7d4c1a1 · outbound

This paper cites To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:55.262029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d7afb9f-ad77-453b-b633-bb9684442ca5 · outbound

This paper cites Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:55.266754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87ff4ac3-5293-4353-9ca5-e731628e32a2 · outbound

This paper cites Text Classification via Large Language Models.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets Text Classification via Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:55.271515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5288a7da-aec2-4c4f-b562-f967101611ad · outbound

This paper cites CLUE: A Chinese Language Understanding Evaluation Benchmark.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets CLUE: A Chinese Language Understanding Evaluation Benchmark

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:55.276400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b37c8dcd-463d-4e22-ba8e-40bb1f61e746 · outbound

This paper cites Qwen2.5 Technical Report.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets Qwen2.5 Technical Report

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:55.281104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8354a36-06f4-4d5c-8578-c388c2c30710 · outbound

This paper cites Beyond Scalar Reward Model: Learning Generative Judge from Preference Data.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets Beyond Scalar Reward Model: Learning Generative Judge from Preference Data

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:55.285882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcd42fc2-1575-4491-bb80-c4755f88492f · outbound

This paper cites OVM, Outcome-supervised Value Models for Planning in Mathematical Reasoning.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets OVM, Outcome-supervised Value Models for Planning in Mathematical Reasoning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:55.290892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d67a948d-5064-4295-9ccc-0952448898ca · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:55.295517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a29e391-360e-4539-be4e-fe40b7646368 · outbound

This paper cites Generative Verifiers: Reward Modeling as Next-Token Prediction.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets Generative Verifiers: Reward Modeling as Next-Token Prediction

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:55.300535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7442b44f-ebd3-453e-aefa-02bb27792c32 · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets Fine-Tuning Language Models from Human Preferences

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:55.305136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation f99164e9-49d7-417a-800b-205e0852b455 · inbound

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning cites this paper.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:07.437399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e6e6052-e199-4952-ad4f-924d4dfd415b · inbound

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence cites this paper.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:48.666190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41712406-ee9d-4d6c-ba92-227d157e2bf3 · inbound

C2F-Thinker: Coarse-to-Fine Reasoning with Hint-Guided Reinforcement Learning for Multimodal Sentiment Analysis cites this paper.

C2F-Thinker: Coarse-to-Fine Reasoning with Hint-Guided Reinforcement Learning for Multimodal Sentiment Analysis GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-15T13:55:53.304156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.