Skip to content

Research references

This is the public reference index for academic and technical work cited by Asterel source comments and research claims. It is intentionally distilled from private design notes: it preserves reusable citations without publishing raw review logs, work packets, or release-risk notes.

Roles:

  • Foundation — theory or prior work that shapes the design vocabulary.
  • Implementation — technique or architecture pattern used in code.
  • Evaluation — benchmark, rubric, or failure mode that should shape testing.
  • Related work — adjacent systems or surveys used for positioning.
ID Role Citation Used by
GENERATIVE-AGENTS Foundation Park, J. S. et al. (2023). Generative Agents: Interactive Simulacra of Human Behavior. UIST 2023. Persistent memory, reflection, and social behavior framing
RELATIONAL-AGENTS Foundation Bickmore, T. W. & Picard, R. W. (2005). Establishing and Maintaining Long-Term Human-Computer Relationships. ACM TOCHI, 12(2), 293-327. DOI: 10.1145/1067860.1067867. Companion relationship continuity
CASA Foundation Nass, C., Steuer, J., & Tauber, E. R. (1994). Computers Are Social Actors. CHI ’94, 72-78. DOI: 10.1145/191666.191703. Human social response boundaries
XIAOICE Related work Zhou, L., Gao, J., Li, D., & Shum, H.-Y. (2020). The Design and Implementation of XiaoIce, an Empathetic Social Chatbot. Computational Linguistics, 46(1), 53-93. DOI: 10.1162/coli_a_00368. Social-chatbot comparison and engagement caution
CHATBOT-RELATIONSHIPS Evaluation Skjuve, M., Folstad, A., Fostervold, K. I., & Brandtzaeg, P. B. (2022). A Longitudinal Study of Human-Chatbot Relationships. IJHCS, 168, 102903. DOI: 10.1016/j.ijhcs.2022.102903. Longitudinal relationship risk framing
COMPANION-RISKS-NMI Related work Nature Machine Intelligence Editorial. (2025). Emotional Risks of AI Companions Demand Attention. Nature Machine Intelligence, 7. Public/private distance and safety policy
COMPANION-RELATIONSHIPS-RISK Related work Malfacini, F. (2025). The Impacts of Companion AI on Human Relationships: Risks, Benefits, and Design Considerations. AI & Society. DOI: 10.1007/s00146-025-02318-6. Non-substitution and safeguard framing
AI-HUMAN-CONNECTION Related work Smith, M. G., Bradbury, T. N., & Karney, B. R. (2025). Can Generative AI Chatbots Emulate Human Connection? A Relationship Science Perspective. Perspectives on Psychological Science. Companion scope and non-claim boundaries
ID Role Citation Used by
GRAPHRAG Implementation Edge, D. et al. (2024). From Local to Global: A Graph RAG Approach to Query-Focused Summarization. arXiv:2404.16130. src/core/memory/graphrag/
GRAPHRAG-SURVEY-PENG Related work Peng, B. et al. (2024). Graph Retrieval-Augmented Generation: A Survey. ACM Computing Surveys. GraphRAG taxonomy
HIPPORAG-2 Implementation Jiménez Gutiérrez, B. et al. (2025). From RAG to Memory: Non-Parametric Continual Learning for Large Language Models. ICML 2025. Associative/provenance graph retrieval
DPR Implementation Karpukhin, V. et al. (2020). Dense Passage Retrieval for Open-Domain Question Answering. EMNLP 2020. src/core/memory/embeddings/, vector retrieval
RRF Implementation Cormack, G. V. et al. (2009). Reciprocal Rank Fusion. SIGIR 2009. src/core/memory/reranking.rs
FELLEGI-SUNTER Foundation Fellegi, I. P. & Sunter, A. B. (1969). A Theory for Record Linkage. Entity resolution
ER-SURVEY Related work Christophides, V. et al. (2020). End-to-End Entity Resolution for Big Data. Entity-resolution pipeline design
DL-HANDBOOK Foundation Baader, F. et al. (2007). The Description Logic Handbook. Ontology and schema constraints
OWL Foundation Horrocks, I. et al. (2003). From SHIQ and RDF to OWL. Ontology trade-offs
REBEL Implementation Cabot, P.-L. H. & Navigli, R. (2021). REBEL: Relation Extraction By End-to-end Language Generation. Relation extraction
TEXT2KGBENCH Evaluation Mihindukulasooriya, N. et al. (2023). Text2KGBench. Ontology-constrained KG extraction evaluation
SNODGRASS Foundation Snodgrass, R. T. (1999). Developing Time-Oriented Database Applications in SQL. Bitemporal graph/memory validity
BITEMPORAL-SEMANTICS Foundation Jensen, C. S. & Snodgrass, R. T. (1996). Semantics of Time-Varying Information. Temporal semantics
MEMORY-SLEEP Foundation Diekelmann, S. & Born, J. (2010). The memory function of sleep. Memory hygiene and consolidation
MEM0-PAPER Related work Chhikara, P. et al. (2025). Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory. Memory lifecycle comparison
LONGMEMEVAL Evaluation Wu, D. et al. (2025). LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory. ICLR 2025. Long-term chat memory evaluation target
PERSONAMEM Evaluation Jiang, B. et al. (2025). Know Me, Respond to Me. COLM 2025. Dynamic user profiling evaluation target
MEMORYCD Evaluation Zhang, W. et al. (2026). MemoryCD. ICLR workshop. Cross-domain lifelong personalization evaluation target
ID Role Citation Used by
BIG-FIVE Foundation Costa, P. T. & McCrae, R. R. (1992). Revised NEO Personality Inventory. src/core/persona/big_five.rs
LLM-PERSONALITY Evaluation Serapio-García, G. et al. (2023). Personality Traits in Large Language Models. LLM personality measurement caveats
PERSONALLM Evaluation Jiang, H. et al. (2023). PersonaLLM. Trait expression evaluation
OCC Foundation Ortony, A., Clore, G. L., & Collins, A. (1988). The Cognitive Structure of Emotions. Affect ontology
OCC-FORMAL Implementation Steunebrink, B. R. et al. (2008). Formalizing OCC appraisal. Computational appraisal structure
AFFECTIVE-COMPUTING Foundation Picard, R. W. (1997). Affective Computing. MIT Press. Affect detection and interpretation
PAD Foundation Mehrabian, A. (1996). Pleasure-arousal-dominance affect representation. Mood representation
ALMA Related work Gebhard, P. (2005). ALMA: a layered model of affect. Emotion/mood/personality layering
CULEMO Evaluation Belay, T. D. et al. (2025). CULEMO: Cultural Lenses on Emotion. ACL 2025. DOI: 10.18653/v1/2025.acl-long.925. Cross-cultural emotion evaluation target
TRACE Evaluation Jeon, E. et al. (2025). “Going to a trap house” conveys more fear than “Going to a mall”: Benchmarking Emotion Context Sensitivity for LLMs. Findings of EMNLP 2025, 14848-14869. DOI: 10.18653/v1/2025.findings-emnlp.802. Affect-context evaluation target
HEART Evaluation Iyer, L. et al. (2026). HEART: A Unified Benchmark for Assessing Humans and LLMs in Emotional Support Dialogue. arXiv:2601.19922. Companion response quality target
CONSTITUTIONAL-AI Implementation Bai, Y. et al. (2022). Constitutional AI. Critique/revision and policy framing
ID Role Citation Used by
TAINT-LATTICE Foundation Denning, D. E. (1976). A Lattice Model of Secure Information Flow. src/security/taint/label.rs
WASP Evaluation Evtimov, I. et al. (2025). WASP: Benchmarking Web Agent Security Against Prompt Injection Attacks. ICML 2025. arXiv:2504.18575. External-content/tool security evaluation target
A2ASECBENCH Evaluation Li, T. et al. (2026). A2ASecBench: A Protocol-Aware Security Benchmark for Agent-to-Agent Multi-Agent Systems. ICLR 2026. A2A/gateway security evaluation target
AGENT-SECURITY-SURVEY Related work Ferrag, M. A. et al. (2025). From Prompt Injections to Protocol Exploits: Threats in LLM-Powered AI Agents Workflows. ICT Express. DOI: 10.1016/j.icte.2025.12.001. Threat taxonomy and public security framing
SOTOPIA Evaluation Zhou, X., Zhu, H., Mathur, L., et al. (2023). SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents. Social intelligence and private-goal evaluation target

Current public mappings are limited to modules that still exist in the repository.

Reference area Current code
Companion turn contract src/runtime/services/companion_turn.rs, tests/runtime/companion_turn_contract.rs
Affect and appraisal src/core/affect/
Memory retrieval and GraphRAG src/core/memory/
Persona and relationship modeling src/core/persona/
Response verification and naturalness src/core/agent/response_finalize/, src/core/agent/naturalness_gate/
Taint and policy enforcement src/security/
Gateway/channel containment src/transport/gateway/, src/transport/channels/