Paper Citation Record · LEDGER

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

As of 19 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2505.24500.

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

pith.paper-citation-record.v1
2505.24500 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:27:52.808169Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

38 of 38 outbound references displayed

verified exact0
verified fuzzy7
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 19b10a2d-5766-43e4-baf5-9eeb9d2a81c2 · outbound

This paper cites SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:48.099504Z

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Observation 308dc582-050e-4727-b741-33d9c09ef9e0 · outbound

This paper cites SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:48.257139Z

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Observation 39d74bd7-4134-4130-aef8-714800e24531 · outbound

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

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:48.555039Z

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Observation 4fb164ae-8e0c-4378-893d-f0e5e985c877 · outbound

This paper cites Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:48.797927Z

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Observation 1093a78b-dfa2-4b22-995a-1f9a9b8871c8 · outbound

This paper cites QueryAgent: A Reliable and Efficient Reasoning Framework with Environmental Feedback-based Self-Correction.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence QueryAgent: A Reliable and Efficient Reasoning Framework with Environmental Feedback-based Self-Correction

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:48.938782Z

Source-reported events for the cited work

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Observation 6f3181d8-1738-40d3-9e36-d59e4c93e32f · outbound

This paper cites OpenAI o1 System Card.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence OpenAI o1 System Card

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:49.075144Z

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Observation b7a8e223-9433-4d61-ad96-5bda5d2fa32a · outbound

This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:49.228737Z

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Observation 5d54a5a6-4a1b-4af1-a6cd-1ce9beb6e125 · outbound

This paper cites Perceptions to beliefs: Exploring precursory inferences for theory of mind in large language models.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence Perceptions to beliefs: Exploring precursory inferences for theory of mind in large language models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:55.671442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 86bff7f8-0ddb-470d-8ee2-25c119f40e4e · outbound

This paper cites s1: Simple test-time scaling.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence s1: Simple test-time scaling

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:49.679902Z

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Observation c307fdb2-94fb-47f7-965b-c555ddcb52af · outbound

This paper cites Explore Theory of Mind: Program-guided adversarial data generation for theory of mind reasoning.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence Explore Theory of Mind: Program-guided adversarial data generation for theory of mind reasoning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:49.910942Z

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Observation c3fdab7c-ad12-4103-b3fe-b67b516ae7e2 · outbound

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

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:50.005114Z

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Observation 7eacdde7-166a-4f7c-9059-def5e592d386 · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence HybridFlow: A Flexible and Efficient RLHF Framework

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:50.102559Z

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Observation e809d746-7890-44c6-bfc8-5b44b0404e16 · outbound

This paper cites ToMATO: Verbalizing the Mental States of Role-Playing LLMs for Benchmarking Theory of Mind.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence ToMATO: Verbalizing the Mental States of Role-Playing LLMs for Benchmarking Theory of Mind

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:50.270022Z

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Observation e5df7549-894f-46fc-8577-1c81973ef424 · outbound

This paper cites R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:50.567982Z

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Observation 9edca75c-ed6c-4a03-ac76-063551775524 · outbound

This paper cites Climbing the ladder of reasoning: What llms can-and still can’t-solve after sft? arXiv preprint arXiv:2504.11741,.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence Climbing the ladder of reasoning: What llms can-and still can’t-solve after sft? arXiv preprint arXiv:2504.11741,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:50.713881Z

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Observation e57198dc-bc3b-4e25-9d4e-e0450c9c8766 · outbound

This paper cites HelpSteer2: Open-source dataset for training top-performing reward models.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence HelpSteer2: Open-source dataset for training top-performing reward models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:50.908285Z

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Observation 1b5f4533-fe3b-4e24-8961-ccccea2f8de8 · outbound

This paper cites SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:51.038674Z

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Unavailable: canonical work link unavailable.

Observation 7474caf0-d8fe-4815-8c1d-71db8aaaefec · outbound

This paper cites Hi-tom: A benchmark for evaluating higher-order theory of mind reasoning in large language models.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence Hi-tom: A benchmark for evaluating higher-order theory of mind reasoning in large language models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:55.090600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2c95a59f-4855-449a-a573-10761728cc9d · outbound

This paper cites GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:51.290313Z

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Observation 1634f636-6489-4528-98a5-5373a857391d · outbound

This paper cites Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:51.421057Z

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Observation 28372f1e-66ef-40a4-a453-95af9b8631b5 · outbound

This paper cites Qwen2.5 Technical Report.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence Qwen2.5 Technical Report

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:51.563161Z

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Observation e4451955-6d9b-420b-85b6-d8f8577955af · outbound

This paper cites LIMO: Less is More for Reasoning.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence LIMO: Less is More for Reasoning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:51.686739Z

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Observation 1f316624-31ca-4996-a14e-5958a5b4f105 · outbound

This paper cites Z1: Efficient Test-time Scaling with Code.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence Z1: Efficient Test-time Scaling with Code

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:51.841949Z

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Observation 585c6ccc-11bf-434b-b600-bd8655e19a10 · outbound

This paper cites Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:51.974700Z

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Observation f36ab083-ece6-43d4-b9c9-3f3f29937d35 · outbound

This paper cites Autotom: Automated bayesian inverse planning and model discovery for open-ended theory of mind.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence Autotom: Automated bayesian inverse planning and model discovery for open-ended theory of mind

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:52.105777Z

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Observation fd96bd9b-3e57-4aa4-80ac-fe5d99d7b201 · outbound

This paper cites SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:52.254318Z

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Observation 4f807b02-017d-4bed-a1be-c32a4eab9262 · outbound

This paper cites SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:52.419144Z

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Observation fb1d23b2-1d90-41b0-b60f-9e45ef984190 · outbound

This paper cites The comparison results are shown in Table.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence The comparison results are shown in Table

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:54.888072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 98b817c3-08ca-43c5-9bba-9f4ad29f3d62 · outbound

This paper cites What LLMs Can—and Still Can’t—Solve after SFT?.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence What LLMs Can—and Still Can’t—Solve after SFT?

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:54.535643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dd47479f-7f0e-451e-a765-43ba4198eef4 · outbound

This paper cites budget forcing.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence budget forcing

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:54.170166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 43b977b2-7bc4-4a82-8d8b-6f534d1c1dde · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 1996

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:50.446081Z

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Observation d8dc670e-9460-401a-9bd4-a8a430bd1ccf · outbound

This paper cites Revisiting the evaluation of theory of mind through question answering.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence Revisiting the evaluation of theory of mind through question answering

Reference 2011

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:55.491641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c181eec8-6d4f-42e4-a4f9-56e8da5edba2 · outbound

This paper cites Video-R1: Reinforcing Video Reasoning in MLLMs.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence Video-R1: Reinforcing Video Reasoning in MLLMs

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:48.392575Z

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Observation 257d3a63-41ab-44bc-afab-438bd05e1d94 · outbound

This paper cites Relation-r1: Cognitive chain-of-thought guided reinforcement learning for unified relational comprehension.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence Relation-r1: Cognitive chain-of-thought guided reinforcement learning for unified relational comprehension

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:49.594703Z

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Observation 0f1ef408-6abe-4356-bada-9bfd8f90590e · outbound

This paper cites Social iqa: Common- sense reasoning about social interactions.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence Social iqa: Common- sense reasoning about social interactions

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:27:55.299794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ae8e3374-ad35-4ae9-bc01-3de7c29f3cb3 · outbound

This paper cites Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:49.740854Z

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Observation f67b7fdd-adbd-4450-a8c8-0c4c883b535a · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:48.037680Z

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

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

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

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Pith citing papers

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