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Paper Citation Record · LEDGER

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards

As of 23 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2507.17147.

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

pith.paper-citation-record.v1
2507.17147 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:02:27.120609Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

48 of 48 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved45
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4e08cdc8-3d48-4f94-b62b-dc6259fe8d12 · outbound

This paper cites "Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards "Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding

Reference 1

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source=arxiv_source observed=2026-08-06T15:02:26.847892Z digest=sha256:dab5140c4475cc6f97932024d820d0a483d2fdec4265548cb4c0e6bad2dd8d9c

Observation 6baeb213-9b97-482c-b2d0-cea8eb952187 · outbound

This paper cites Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding

Reference 2

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source=arxiv_source observed=2026-08-06T15:02:26.853811Z digest=sha256:0d698f68e9eb0da67c726eecaeb8b51868064d1871b0144890b2f03428ec3db8

Observation 8404f121-5560-4e99-bd44-75e8dbaf0d3f · outbound

This paper cites an unresolved cited work.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Unresolved cited work

Reference 3

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source=arxiv_source observed=2026-08-06T15:02:26.859380Z digest=sha256:2b0d6ad8a0b65a8cac3042436691b70c03330336b306fd7153a87d4c62c97351

Observation eee4d1e4-2fc4-4139-bb67-4553658a309a · outbound

This paper cites an unresolved cited work.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Unresolved cited work

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T15:02:26.864407Z digest=sha256:a4cd6ea011e346794542ae600de01fb9396d12eade8fbdc9e394723fa1ec99da

Observation 6a359f50-1ac9-471b-9300-3a38ec70366e · outbound

This paper cites SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning

Reference 5

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source=arxiv_source observed=2026-08-06T15:02:26.869430Z digest=sha256:52af952f6ce819c4fa07b861166d93c4dbb7657568846c068b2743d296b6c00f

Observation d1ae54d3-fa04-443b-b95c-98e4bde4b0b7 · outbound

This paper cites The Oscars of AI Theater: A Survey on Role-Playing with Language Models.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards The Oscars of AI Theater: A Survey on Role-Playing with Language Models

Reference 6

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source=arxiv_source observed=2026-08-06T15:02:26.874359Z digest=sha256:9a277f6669e40e64aae57a592fc16f41043ec18a0d8eb13c75402eb65b7c9d24

Observation de71f6c6-1874-44a7-8913-4a7fa5d75eda · outbound

This paper cites Large Language Models Meet Harry Potter: A Bilingual Dataset for Aligning Dialogue Agents with Characters.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Large Language Models Meet Harry Potter: A Bilingual Dataset for Aligning Dialogue Agents with Characters

Reference 7

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source=arxiv_source observed=2026-08-06T15:02:26.881130Z digest=sha256:b5cc32b5bd4dcdba1d3f7f4420b6c7ffaaa8df6ae6c38e27005a17b5797d650c

Observation 34fc88e1-6798-46c4-a002-f76722a43669 · outbound

This paper cites an unresolved cited work.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Unresolved cited work

Reference 8

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source=arxiv_source observed=2026-08-06T15:02:26.886510Z digest=sha256:9a05d5b0a10e1c1d2f091094e964a9e7e284cddc7df68ce57153d14dfd9ca741

Observation 8779d4cb-ae39-4f93-ab54-d6954c64d3b0 · outbound

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

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 9

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source=arxiv_source observed=2026-08-06T15:02:26.891631Z digest=sha256:7bc7fa1fe08131ae204051df3bd8b993af3b27a6bd879d52313a1d0107ea6a27

Observation e2fdbe4c-4f7a-4356-8895-fc782284d778 · outbound

This paper cites ReTool: Reinforcement Learning for Strategic Tool Use in LLMs.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Reference 10

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source=arxiv_source observed=2026-08-06T15:02:26.897593Z digest=sha256:456024e2d520d5deb10922ac0dbc5d4592029a5304ee1c98c286c80ee9b482a1

Observation 27b42656-2331-4b91-97f9-4384be482d25 · outbound

This paper cites Reasoning Does Not Necessarily Improve Role-Playing Ability.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Reasoning Does Not Necessarily Improve Role-Playing Ability

Reference 11

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source=arxiv_source observed=2026-08-06T15:02:26.902549Z digest=sha256:ce3436b2a4721380747da4eae9987ca3f9a47b97a0c419750ad9dee6f23ccf9d

Observation f37ea5c4-dded-4731-a649-4f4bc3453f5f · outbound

This paper cites an unresolved cited work.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Unresolved cited work

Reference 12

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source=arxiv_source observed=2026-08-06T15:02:26.907285Z digest=sha256:c1fddf2e29e70122f6c3301dd5de69743214262933ca8dda45850fc06ef6b955

Observation d83cbc5b-2a6c-4bea-a3f7-91699ac33105 · outbound

This paper cites an unresolved cited work.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Unresolved cited work

Reference 13

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:02:26.912224Z digest=sha256:11d6f37338b75add69b4c221d7eafa9edfc8c8b552784a9976fd42b216dd67d7

Observation d03403b8-d6dc-437d-bc49-73343c21339e · outbound

This paper cites Enhancing Persona Consistency for LLMs' Role-Playing using Persona-Aware Contrastive Learning.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Enhancing Persona Consistency for LLMs' Role-Playing using Persona-Aware Contrastive Learning

Reference 14

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source=arxiv_source observed=2026-08-06T15:02:26.917233Z digest=sha256:e2072ee970c9c044740f7e014472d534d7a26527a5d4062cba586e3dcb91e0bd

Observation 257be1cb-b242-431b-9311-391f1800d631 · outbound

This paper cites an unresolved cited work.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Unresolved cited work

Reference 15

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source=arxiv_source observed=2026-08-06T15:02:26.922458Z digest=sha256:ab3d651fb2f6e958dff6d6345662c4147ca96e548b53cc82b78da81f351d14c7

Observation a658fafb-be38-4542-b42f-8a19164d6021 · outbound

This paper cites CodeTool: Enhancing Programmatic Tool Invocation of LLMs via Process Supervision.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards CodeTool: Enhancing Programmatic Tool Invocation of LLMs via Process Supervision

Reference 16

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local_arxiv, observed 2026-08-06T15:02:27.845222Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T15:02:26.927340Z digest=sha256:44f447a21ad359a5d9e6fa3d11ebe710f4921d7ea50d4003631ccaf16d2dec15

Observation 31143d57-8403-4307-9567-3d65736b6bca · outbound

This paper cites S$^2$R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards S$^2$R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning

Reference 17

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source=arxiv_source observed=2026-08-06T15:02:26.932292Z digest=sha256:140965d28b534fec8b9fe5c5722d0bb5e946702fe5cfa16f35377f24b5ff87a5

Observation d52518ef-05f8-4ece-af1d-d3a08849b68f · outbound

This paper cites an unresolved cited work.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Unresolved cited work

Reference 18

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source=arxiv_source observed=2026-08-06T15:02:26.945889Z digest=sha256:67372902cc4421fc9675e8f72c28a401b10ee168bcbe75d0f80d78d121efc830

Observation 8a0aa8bb-b4c2-4c7a-bece-7701bdd1429f · outbound

This paper cites OpenAI o1 System Card.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards OpenAI o1 System Card

Reference 19

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source=arxiv_source observed=2026-08-06T15:02:26.951446Z digest=sha256:8f847bbf562443cddd617a72926f173a98b98a6e774d4134d81574be5357d52b

Observation be5bbd53-e46e-476f-a306-c6903f25c1c8 · outbound

This paper cites Generative Agents: Interactive Simulacra of Human Behavior.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Generative Agents: Interactive Simulacra of Human Behavior

Reference 20

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source=arxiv_source observed=2026-08-06T15:02:26.957432Z digest=sha256:853b48b5a115b3ddf6f825eb2be706ac3142ff3e91a22437701a2f76c11750d3

Observation b79f26c2-cf4b-49dd-854a-eea4dfdfb9ab · outbound

This paper cites ToolRL: Reward is All Tool Learning Needs.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards ToolRL: Reward is All Tool Learning Needs

Reference 21

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source=arxiv_source observed=2026-08-06T15:02:26.964109Z digest=sha256:d4bbbe5e650d4f3e7982a3e5dcf820fc776a641dde71c8fcee0d66ed14cc7283

Observation e44a1e8b-e94a-4210-a901-687b2bd9ca24 · outbound

This paper cites Sequence Level Training with Recurrent Neural Networks.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Sequence Level Training with Recurrent Neural Networks

Reference 22

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source=arxiv_source observed=2026-08-06T15:02:26.969880Z digest=sha256:6cae46fda38ccf3b7319712725c1327a7be280275604980c7b8fd7f2593a0492

Observation 3a714bbd-ba6b-41b8-ba6d-ce8cc4df7a99 · outbound

This paper cites Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset

Reference 23

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source=arxiv_source observed=2026-08-06T15:02:26.977002Z digest=sha256:8f95de20a2ab6ecb4229bc7892deef31330ecfd0461d7c3cfb5aee099bbc2c46

Observation 82dad115-11ff-4a67-b5ab-5acc990cc05b · outbound

This paper cites Hybrid Group Relative Policy Optimization: A Multi-Sample Approach to Enhancing Policy Optimization.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Hybrid Group Relative Policy Optimization: A Multi-Sample Approach to Enhancing Policy Optimization

Reference 24

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source=arxiv_source observed=2026-08-06T15:02:26.981947Z digest=sha256:3c2eb2e855c9c037f5f64005a9f3a9c61564ee48e86f2dd4e0f31f78bffdb930

Observation 16d1ca7c-6a60-4fed-a258-b9511d9a9a83 · outbound

This paper cites Character-LLM: A Trainable Agent for Role-Playing.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Character-LLM: A Trainable Agent for Role-Playing

Reference 25

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source=arxiv_source observed=2026-08-06T15:02:26.986704Z digest=sha256:891cdcb7f570723f29d095df3936e6aec7bbae1b0e0372c2ef429754a6b2020f

Observation c912c350-cb68-413a-8165-e4826f483f2d · outbound

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

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 26

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source=arxiv_source observed=2026-08-06T15:02:26.991162Z digest=sha256:3698461f0254c530fa74e63bacef4b2438ece1cc31213587c65efa6a8d71e67f

Observation f8c35e5a-56a0-4f74-8a97-ca5fc8a3c988 · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 27

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source=arxiv_source observed=2026-08-06T15:02:26.997108Z digest=sha256:8339d119cf48d0f735aea6f029737d7b378eb88e78048c98838b547d90d2359b

Observation d9188b5c-73c5-433e-ad33-23f967423673 · outbound

This paper cites LLMs are Also Effective Embedding Models: An In-depth Overview.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards LLMs are Also Effective Embedding Models: An In-depth Overview

Reference 28

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source=arxiv_source observed=2026-08-06T15:02:27.002338Z digest=sha256:fa919bb5ccd0ab717bec260c58c0866b3e2505428ef97ddb6fa395fd0723850d

Observation 780e735e-0711-4724-87e5-ee6ca8b66a2c · outbound

This paper cites an unresolved cited work.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Unresolved cited work

Reference 29

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raw_fallback, observed 2026-08-06T15:02:28.238415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T15:02:27.007114Z digest=sha256:dfd1106e2698862d73554ecc8eab9aaf790562687037cd52ac80d4de8d5fccdc

Observation 1b9f1258-f911-435d-bc9d-b463dafdd5a4 · outbound

This paper cites LaMDA: Language Models for Dialog Applications.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards LaMDA: Language Models for Dialog Applications

Reference 30

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source=arxiv_source observed=2026-08-06T15:02:27.012282Z digest=sha256:4422604255d248961059b129cc4aa808b52d34f6d58761d510bb30f84b036172

Observation 074a3ce3-3475-4ce4-aa06-237d8f1ca4fa · outbound

This paper cites an unresolved cited work.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Unresolved cited work

Reference 31

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raw_fallback, observed 2026-08-06T15:02:28.219625Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T15:02:27.018200Z digest=sha256:bd4b1fd0d0a1e394da06c3514492349a1557550839ad22eb852ee76b782ecd7b

Observation 77f8b97f-9572-4759-8943-c46baed89086 · outbound

This paper cites an unresolved cited work.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Unresolved cited work

Reference 32

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source=arxiv_source observed=2026-08-06T15:02:27.025256Z digest=sha256:72e82b23df84915564882ec289a4e747c45adda211aa8bf9a266273d6d09068e

Observation ba4f8c21-3cfb-443c-9d7e-eadd3004018c · outbound

This paper cites an unresolved cited work.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Unresolved cited work

Reference 33

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T15:02:27.029872Z digest=sha256:356aa5cf35605f8152c877e3945af0a45d4103366af304757794555707893553

Observation 37128dca-b97d-4e47-885c-456b1aca554e · outbound

This paper cites an unresolved cited work.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Unresolved cited work

Reference 34

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no resolver link, observed 2026-08-06T15:02:27.034810Z

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source=arxiv_source observed=2026-08-06T15:02:27.034810Z digest=sha256:be4674c7c4bbeade812ab809762a8b2a11bba93d695d1d1f21cc1ab9a478484c

Observation f8c65467-306b-4c3d-b1ba-4d81bb74ca5a · outbound

This paper cites InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviews.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviews

Reference 35

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source=arxiv_source observed=2026-08-06T15:02:27.041691Z digest=sha256:f449b4ca5549d18dd694955cb236c57027547931769e6d533224692fdf772990

Observation 9c47933e-6571-489f-9442-701dc090511f · outbound

This paper cites RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:02:27.047188Z digest=sha256:a5801ab5f6794eae4d0baf52519f9b42abe4c215c0d3da5942e13e0b245d313a

Observation 4cc375d0-a90f-443d-914e-9ca25978bceb · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T15:02:27.052414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:02:27.052414Z digest=sha256:ac5cf8daa85cb3bd14bb4b8cebf26334d1ff8b38cb50e7d00b7b4faa24132007

Observation 45ce1ce7-8878-4f08-8668-00c68c09cf87 · outbound

This paper cites an unresolved cited work.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:02:28.178487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T15:02:27.057998Z digest=sha256:96cb1bf7d3a9aa37ccef0d93081fce34a0dcb0b47ece39115d9d63c0a3222f47

Observation 5a833151-3a8c-444a-bd4c-2785aed6747d · outbound

This paper cites Towards Enhanced Immersion and Agency for LLM-based Interactive Drama.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Towards Enhanced Immersion and Agency for LLM-based Interactive Drama

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:02:27.357082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T15:02:27.064815Z digest=sha256:cdb784925346e055687555aa5ba02ace0348989ed0479a25ed320c2cf5fea677

Observation eb81e13e-6023-4429-91fb-db29af084e8a · outbound

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

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T15:02:27.070162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:02:27.070162Z digest=sha256:2315824c989a5fc7cf14ff60811957d0c2102e1e38d64b1715669a0ccf27bd00

Observation 13c7b42e-b213-4504-a242-79b5da48fc55 · outbound

This paper cites Guess What I am Thinking: A Benchmark for Inner Thought Reasoning of Role-Playing Language Agents.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Guess What I am Thinking: A Benchmark for Inner Thought Reasoning of Role-Playing Language Agents

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T15:02:27.075822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:02:27.075822Z digest=sha256:8acb410def654eaeb723e370ff2b8a20844bbf4a7b63890e8c137def0d49a268

Observation c0defd52-837d-4df0-bb27-fd32f605d5ff · outbound

This paper cites Character is Destiny: Can Role-Playing Language Agents Make Persona-Driven Decisions?.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Character is Destiny: Can Role-Playing Language Agents Make Persona-Driven Decisions?

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T15:02:27.082286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:02:27.082286Z digest=sha256:0138b3d67d83374eb864c64803889bcfe33a51a902e04597614bfdeec0550a76

Observation df9319ef-3d34-419a-9d45-e224e83e0dbc · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T15:02:27.091819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:02:27.091819Z digest=sha256:9d0c2090d89f422b805255edcb12f5c93e5263719508cb00ff7d184fdc50840d

Observation 6712f72c-af34-4fb2-b409-a4feb87d338e · outbound

This paper cites Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T15:02:27.097864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:02:27.097864Z digest=sha256:3d119c23109d99f6eb764ec01483b9cda2104060f29debe0178a1d856fce6d0e

Observation e5b23e0c-4134-49fd-acbd-d751861cbbbe · outbound

This paper cites Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Works.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Works

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:02:27.228027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T15:02:27.103368Z digest=sha256:f3389b95157f8544a4f24bb29f5933599b957f400632611caad1539c5ca998e3

Observation cd211747-996a-4f65-94cd-623efe742dce · outbound

This paper cites CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T15:02:27.109104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:02:27.109104Z digest=sha256:1d9368e175d7322d4d53b4af6c2aa8faf570094fd39eb24575b4deca845c44b5

Observation 43d9a8bf-47c6-4f54-b457-e72406ae6de8 · outbound

This paper cites online" 'onlinestring :=.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards online" 'onlinestring :=

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T15:02:27.114741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:02:27.114741Z digest=sha256:2cb47a4817d6fd8b9a6bc673e305ea154783b593f9a641d1f937a78785826d0e

Observation 9c3c8003-d20e-40c4-9cd0-5422385fcd77 · outbound

This paper cites write newline.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards write newline

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T15:02:27.120609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:02:27.120609Z digest=sha256:c0f20d5260aee3671de4587f0bab72b0755b7eabb606206258a474388d4e40ff

Pith citing papers

No inbound Pith citation observations are available.