Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-12T23:19:32.665793Z
Paper Citation Record · LEDGER
GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling
As of 9 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2605.28835.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
18 of 18 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved18
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6cd7149e-1b7d-4f2d-a042-69fa82b894f0 · outbound
This paper cites ACM Computing Surveys55(12), 1–38 (2023).
GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling ACM Computing Surveys55(12), 1–38 (2023)
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T23:19:32.665793Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd76276f-3176-4654-abc7-356b8f72fd19 · outbound
This paper cites Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responses.
GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responses
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T23:19:32.665793Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c79cf549-dfc2-4ac8-9d8a-a66cdf934110 · outbound
This paper cites Auto-Encoding Variational Bayes.
GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling Auto-Encoding Variational Bayes
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T23:19:32.665793Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be67078d-ed4e-44d0-a17e-1d86f7e9a973 · outbound
This paper cites Advances in neural information processing systems 33, 9459–9474 (2020).
GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling Advances in neural information processing systems 33, 9459–9474 (2020)
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T23:19:32.665793Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d8b8f8d7-fedd-49fc-b0a9-3a03ca3b0481 · outbound
This paper cites In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL).
GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL)
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T23:19:32.665793Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b7cafc2-1e94-4d31-b5f6-aabb5b427161 · outbound
This paper cites In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL).
GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL)
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T23:19:32.665793Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 155c84ba-ce62-4ba8-9381-b362322935f8 · outbound
This paper cites In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP).
GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T23:19:32.665793Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d941d23e-43fa-44ff-9b50-8cd69b5fe928 · outbound
This paper cites Morgan Kaufmann Publishers (1988).
GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling Morgan Kaufmann Publishers (1988)
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T23:19:32.665793Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11c1e448-4d29-4d74-a93f-d48830b50acd · outbound
This paper cites Semantic Communications: Principles and Challenges.
GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling Semantic Communications: Principles and Challenges
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T23:19:32.665793Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0073eb99-03b6-4e89-abb5-e014170d04f5 · outbound
This paper cites The Bell System Techni- cal Journal27(3), 379–423 (1948).
GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling The Bell System Techni- cal Journal27(3), 379–423 (1948)
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T23:19:32.665793Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00b4ff90-9514-4b5e-8a3f-16d00ac80661 · outbound
This paper cites IEEE Transactions on Information Theory27(5), 533–547 (1981).
GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling IEEE Transactions on Information Theory27(5), 533–547 (1981)
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T23:19:32.665793Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0da81f6c-d815-4903-b2da-22133e708882 · outbound
This paper cites LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented Generation.
GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented Generation
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T23:19:32.665793Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e54bfd78-9ff0-408a-845b-69519a59aafb · outbound
This paper cites Transactions on Machine Learning Research (2022).
GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling Transactions on Machine Learning Research (2022)
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T23:19:32.665793Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c03c99f1-632e-40ae-b652-248e7240e7cf · outbound
This paper cites Ethical and social risks of harm from Language Models.
GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling Ethical and social risks of harm from Language Models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T23:19:32.665793Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45f05006-142d-4eea-bc35-f13371cec1a6 · outbound
This paper cites IEEE transactions on signal processing69, 2663–2675 (2021).
GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling IEEE transactions on signal processing69, 2663–2675 (2021)
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T23:19:32.665793Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a10f3d3a-efd1-45d3-b449-e19ac9e7171c · outbound
This paper cites Corrective Retrieval Augmented Generation.
GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling Corrective Retrieval Augmented Generation
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T23:19:32.665793Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c4c76f2-7f4a-45f3-939c-668991f4b638 · outbound
This paper cites In: International Conference on Learning Representations (ICLR) (2024).
GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling In: International Conference on Learning Representations (ICLR) (2024)
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T23:19:32.665793Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 078773e7-2a3e-4984-8afd-67380afb1db9 · outbound
This paper cites In: Advances in Neural Information Processing Systems (NeurIPS) (2024).
GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling In: Advances in Neural Information Processing Systems (NeurIPS) (2024)
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T23:19:32.665793Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.