Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T02:35:40.593397Z
Paper Citation Record · LEDGER
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion
As of 7 August 2026, this Paper Citation Record lists 100 of 182 outbound references and 0 inbound Pith citation observations for arXiv:2604.19015.
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 2026-08-07T06:34:17.273281+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
100 of 182 outbound references displayed
- verified exact10
- verified fuzzy56
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch31
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e4121fe4-f34c-48bf-93b7-0f885c5880d0 · outbound
This paper cites Artificial intelligence and statistics , pages=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Artificial intelligence and statistics , pages=
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.665354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation bb87d747-73b4-419e-a56a-65207404cb96 · outbound
This paper cites Synthesis Lectures on Artificial Intelligence and Machine Learning , volume=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Synthesis Lectures on Artificial Intelligence and Machine Learning , volume=
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.540337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1c096171-78d6-42a3-986f-4781a1a721c9 · outbound
This paper cites Foundations and Trends.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Foundations and Trends
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.663063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation de981929-5956-4b03-a49b-882aa445e39e · outbound
This paper cites Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption
Reference 4
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T12:56:06.207078Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 970fac25-ffd0-4d74-80f3-9ab113f61eab · outbound
This paper cites Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining , pages=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining , pages=
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.403653Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a327ee4f-5de0-4d70-a1c9-f50f646981a7 · outbound
This paper cites A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression
Reference 6
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T12:56:06.192992Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation edae9612-1c28-4c1a-8a29-08caa91e4ca7 · outbound
This paper cites IEEE Intelligent Systems , volume=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion IEEE Intelligent Systems , volume=
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.498673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 48f4527a-391c-4685-830f-c9113e4cbf80 · outbound
This paper cites Pacific-Asia Conference on Knowledge Discovery and Data Mining , pages=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Pacific-Asia Conference on Knowledge Discovery and Data Mining , pages=
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.572532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 97031303-1b2b-4e60-bf40-87f11856d5ff · outbound
This paper cites author=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion author=
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.521306Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 408753e4-5d96-4da6-b1a1-2e56d9181126 · outbound
This paper cites Additively Homomorphical Encryption based Deep Neural Network for Asymmetrically Collaborative Machine Learning.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Additively Homomorphical Encryption based Deep Neural Network for Asymmetrically Collaborative Machine Learning
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:56:06.224355Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3ac6650c-dccb-4b1c-ae5a-c26c8db72ffd · outbound
This paper cites Proceedings of the 2022 International Conference on Management of Data , pages=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Proceedings of the 2022 International Conference on Management of Data , pages=
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.617533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 72b6a3ab-f178-495b-bf94-078080d5c90d · outbound
This paper cites IEEE Transactions on Big Data , year=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion IEEE Transactions on Big Data , year=
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.502891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c4a27344-8646-49e2-8424-d8bdf705b019 · outbound
This paper cites IEEE Intelligent Systems , volume=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion IEEE Intelligent Systems , volume=
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.381590Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d3960622-52af-4274-9f61-de87104046bb · outbound
This paper cites Split learning for health: Distributed deep learning without sharing raw patient data.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Split learning for health: Distributed deep learning without sharing raw patient data
Reference 14
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T12:56:06.278344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 761a995c-4fa2-4f65-8d74-ed6f5df37d55 · outbound
This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Proceedings of the AAAI Conference on Artificial Intelligence , volume=
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.615734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cfb898f1-d009-46a5-bd01-e965dde6016e · outbound
This paper cites International conference on the theory and applications of cryptographic techniques , pages=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion International conference on the theory and applications of cryptographic techniques , pages=
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.621212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c7350200-c5a2-45da-a73a-74876bc2d3c6 · outbound
This paper cites Communications of the ACM , volume=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Communications of the ACM , volume=
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.590324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f5ee8be5-ab99-4cf5-a978-0e5747b27c3d · outbound
This paper cites Annual Cryptology Conference , pages=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Annual Cryptology Conference , pages=
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.417533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4eb6aa33-77c8-45fd-b25f-1acc27f677cf · outbound
This paper cites Foundations and Trends.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Foundations and Trends
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.427426Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f0c14796-fc22-48e9-86d1-5326de86eb9c · outbound
This paper cites Unknown Journal , year=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Unknown Journal , year=
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.409367Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 63f482c4-4744-458b-85d9-bea3e1ef8142 · outbound
This paper cites proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security , pages=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security , pages=
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.494949Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ef493d68-7248-4c94-b09e-86ca9841dbbb · outbound
This paper cites Federated Learning , pages=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Federated Learning , pages=
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.513016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 38d53ef3-f609-44e4-abb3-fd591caf4839 · outbound
This paper cites Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security , pages=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security , pages=
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.425476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation aa74ed66-a98c-4554-bdac-1e20220240f0 · outbound
This paper cites Journal of Network and Computer Applications , volume=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Journal of Network and Computer Applications , volume=
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.570498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f7c63c66-d260-4657-812b-b3bcf85a7a91 · outbound
This paper cites Federated Deep Learning with Bayesian Privacy.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Federated Deep Learning with Bayesian Privacy
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:56:06.174393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation aed457fb-dfb5-497c-b306-d755be1c5eaa · outbound
This paper cites author=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion author=
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.413207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a0e9443b-1feb-4be5-ae4f-10755cb26773 · outbound
This paper cites Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Reference 27
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T12:56:05.890823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation bb16eab5-dea1-438b-8d5c-37abb72ef23b · outbound
This paper cites A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT
Reference 28
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T12:56:06.158379Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5d34113b-0f53-41de-869a-34c07889e712 · outbound
This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 29
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T12:56:05.933734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation fa637f50-7c5e-4133-adb9-045e4ddaff74 · outbound
This paper cites BLOOM: A 176B-Parameter Open-Access Multilingual Language Model.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
Reference 30
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T00:51:12.019329Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2b7b449f-d03b-4eb2-b1cd-7367f20f30d9 · outbound
This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 31
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T12:56:06.353792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 79baa970-6f54-41e4-a57d-30e8ecf153cf · outbound
This paper cites 2022 , publisher=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion 2022 , publisher=
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.445441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d254815f-7ee1-4853-828d-5a835caa86b8 · outbound
This paper cites 2023 , publisher=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion 2023 , publisher=
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.619226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9bcc0d32-6845-46a4-8985-9e4e7809ca29 · outbound
This paper cites 2018 , publisher=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion 2018 , publisher=
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.654213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 191e27b2-d756-4db7-98ca-21f8ffcc6162 · outbound
This paper cites OPT: Open Pre-trained Transformer Language Models.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion OPT: Open Pre-trained Transformer Language Models
Reference 35
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T12:56:06.305857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation de42dfbf-e3cf-4e91-9181-cce51f9e50d8 · outbound
This paper cites Baichuan 2: Open Large-scale Language Models.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Baichuan 2: Open Large-scale Language Models
Reference 36
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T12:56:06.167879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 01661736-690c-42bc-853e-7bbaa579f029 · outbound
This paper cites PaLM: Scaling Language Modeling with Pathways.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion PaLM: Scaling Language Modeling with Pathways
Reference 37
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T12:56:06.333080Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 778dbc63-4de3-4b29-8c83-4ec285bb6710 · outbound
This paper cites Advances in neural information processing systems , volume=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Advances in neural information processing systems , volume=
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.556854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ef28c61d-301b-4861-bbe1-759b72c0a03e · outbound
This paper cites FedAdapter: Efficient Federated Learning for Modern NLP.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion FedAdapter: Efficient Federated Learning for Modern NLP
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:56:06.048457Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ac4d6bc7-4d34-4f3c-8cbc-59db865e178d · outbound
This paper cites FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning in Federated Learning.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning in Federated Learning
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:56:06.066335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5eca485f-f0a1-4350-a30f-323dc5415eb1 · outbound
This paper cites When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:56:06.089911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ac43db73-c9ae-4454-bd9d-d9614d3d95c0 · outbound
This paper cites Nature communications , volume=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Nature communications , volume=
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.508863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 69acfaf7-3fea-49a1-9461-fbd33fd6c6f7 · outbound
This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , year=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion IEEE Transactions on Pattern Analysis and Machine Intelligence , year=
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.552503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 402debf5-24e3-4238-b47c-62c52b3b35ea · outbound
This paper cites Long and Diverse Text Generation with Planning-based Hierarchical Variational Model.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Long and Diverse Text Generation with Planning-based Hierarchical Variational Model
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:56:05.973890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 84c61bca-4f6c-4ce6-be8a-50fa48789ad4 · outbound
This paper cites Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.529964Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1fc255c9-1f44-499b-ade7-c951b23cbab4 · outbound
This paper cites P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Reference 46
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T12:56:06.347783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 763fd2eb-172d-4fd0-816e-97cecef20032 · outbound
This paper cites LoRA: Low-Rank Adaptation of Large Language Models.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion LoRA: Low-Rank Adaptation of Large Language Models
Reference 47
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T12:56:05.982496Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1c452130-863e-4fb8-a6f4-a9b79ccea0bd · outbound
This paper cites Will we run out of data? Limits of LLM scaling based on human-generated data.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Will we run out of data? Limits of LLM scaling based on human-generated data
Reference 48
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T12:56:06.138293Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8780bad1-fb04-41f4-b24b-f18393737d0c · outbound
This paper cites Federated Mutual Learning.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Federated Mutual Learning
Reference 49
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T12:56:05.907360Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c02846e1-7284-4b6d-a8d4-00f2354a1c3f · outbound
This paper cites 2020 International Joint Conference on Neural Networks (IJCNN) , pages=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion 2020 International Joint Conference on Neural Networks (IJCNN) , pages=
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.592254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 46a3e9c3-b3d2-458a-9dd4-8727ec07a9ba · outbound
This paper cites Offsite-Tuning: Transfer Learning without Full Model.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Offsite-Tuning: Transfer Learning without Full Model
Reference 51
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T12:56:05.966978Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c4d9568f-f0f9-4b28-b11b-a566bd38097e · outbound
This paper cites 31st USENIX Security Symposium (USENIX Security 22) , pages=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion 31st USENIX Security Symposium (USENIX Security 22) , pages=
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.594467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0ac14d0c-31a9-4139-8d53-f27b150fa99f · outbound
This paper cites Vertical Federated Learning: Concepts, Advances and Challenges.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Vertical Federated Learning: Concepts, Advances and Challenges
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:56:06.431044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a7263ad4-8089-4c92-9e8c-594012bab0f5 · outbound
This paper cites Proceedings of the European conference on computer vision (ECCV) , pages=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Proceedings of the European conference on computer vision (ECCV) , pages=
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.574581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e682c42c-36f5-42e5-a4fb-c9d6a6f54113 · outbound
This paper cites Text summarization branches out , pages=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Text summarization branches out , pages=
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.523924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d15a9194-6a3a-40a3-a365-e518741e8909 · outbound
This paper cites Proceedings of the 40th annual meeting of the Association for Computational Linguistics , pages=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Proceedings of the 40th annual meeting of the Association for Computational Linguistics , pages=
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.639109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f0c69f6e-3617-4db3-a6f1-351f3d2ae4a7 · outbound
This paper cites Workshop on Challenges in Deployable Generative AI at International Conference on Machine Learning (ICML) , year=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Workshop on Challenges in Deployable Generative AI at International Conference on Machine Learning (ICML) , year=
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.401577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 52fc4cf9-8407-4024-b963-72388ff4cd75 · outbound
This paper cites OpenAI blog , volume=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion OpenAI blog , volume=
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.596958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 82019f78-5d1b-4f95-a561-d8d936fabf3c · outbound
This paper cites 2023 , url =.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion 2023 , url =
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.473082Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f147512d-eb38-44ac-b3f8-d869c3ded6f4 · outbound
This paper cites Hashimoto , title =.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Hashimoto , title =
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.429638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b4a11cdf-b2c6-4873-bc5f-cd7eeefc36d7 · outbound
This paper cites Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing , pages=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing , pages=
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.613690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 70c536d9-79a6-4510-b501-3097dc6a864a · outbound
This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Proceedings of the AAAI conference on artificial intelligence , volume=
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.608704Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 162cbe36-8ae7-4635-814d-e04fd38377e1 · outbound
This paper cites Crowdsourcing Multiple Choice Science Questions.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Crowdsourcing Multiple Choice Science Questions
Reference 63
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T12:56:05.866027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3611c716-3977-46d7-aa56-6277ec0170c5 · outbound
This paper cites International Conference on Machine Learning , pages=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion International Conference on Machine Learning , pages=
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.568610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e833147b-fb1f-4f9c-8d5f-d1b87c585d7a · outbound
This paper cites Towards a Unified View of Parameter-Efficient Transfer Learning.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Towards a Unified View of Parameter-Efficient Transfer Learning
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:56:05.923596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ca423bbd-c01f-46cc-b353-2351c0341a09 · outbound
This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Prefix-Tuning: Optimizing Continuous Prompts for Generation
Reference 66
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T16:57:25.623351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2a976e20-a72b-4a3f-9ba0-5383010fa7a7 · outbound
This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion The Power of Scale for Parameter-Efficient Prompt Tuning
Reference 67
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T16:34:05.826717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f51b8a48-37fc-47a5-8920-a0bac5eae25c · outbound
This paper cites Distilling the Knowledge in a Neural Network.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Distilling the Knowledge in a Neural Network
Reference 68
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T12:56:05.949381Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation bc72ba48-5110-4579-b551-e772e13413ca · outbound
This paper cites Asian Conference on Machine Learning , pages=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Asian Conference on Machine Learning , pages=
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.562407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 57ee9675-aebb-4b01-97a8-e4400268d87e · outbound
This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Proceedings of the IEEE conference on computer vision and pattern recognition , pages=
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.564271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a56fd101-60dd-4a2b-8adf-4ad84cef5364 · outbound
This paper cites International Journal of Computer Vision , volume=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion International Journal of Computer Vision , volume=
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.566493Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 15def4ec-c440-4007-a4cf-6536facea2ad · outbound
This paper cites Advances in neural information processing systems , volume=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Advances in neural information processing systems , volume=
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.588089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e0142b5f-e722-405c-abe3-3ab54c973307 · outbound
This paper cites ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.489477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 459f9e0d-9e8d-41f1-9d11-80427a23da99 · outbound
This paper cites an unresolved cited work.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Unresolved cited work
Reference 74
- Resolution
- unresolved
- raw_fallback, observed 2026-05-22T20:37:05.455365Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 25b60e0b-6acf-4897-95ad-13e975a9403b · outbound
This paper cites Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
Reference 75
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T12:56:05.998723Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a5ea43f9-1b6d-42db-b5cb-6e2e10878bae · outbound
This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Proceedings of the AAAI conference on artificial intelligence , volume=
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.447456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 83d28192-8ef5-4a67-95d1-11a6bd924559 · outbound
This paper cites Proceedings of the AAAI Conference on artificial intelligence , volume=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Proceedings of the AAAI Conference on artificial intelligence , volume=
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.550651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 823dbfe3-93b5-400a-ad10-317c74399a87 · outbound
This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.451530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2789cea7-fe34-4c04-b12f-1f3e4b119ef4 · outbound
This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Reference 79
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T12:56:06.100442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4d06c913-0d1c-4f77-9384-64b44fa79d5f · outbound
This paper cites FedMD: Heterogenous Federated Learning via Model Distillation.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion FedMD: Heterogenous Federated Learning via Model Distillation
Reference 80
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T12:56:06.324393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation bb9d0930-6404-44cc-b733-c3b883867141 · outbound
This paper cites Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
Reference 81
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:56:06.666402Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6d926b82-54ac-4214-9eea-e07015f7676c · outbound
This paper cites pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning
Reference 82
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T12:56:05.943226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b964c119-b19d-4a34-b1a0-287477709ee0 · outbound
This paper cites Proceedings of the 51st International Conference on Parallel Processing , pages=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Proceedings of the 51st International Conference on Parallel Processing , pages=
Reference 83
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.493156Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f5660140-546a-4884-bcd0-036d231036d9 · outbound
This paper cites Completely Heterogeneous Federated Learning.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Completely Heterogeneous Federated Learning
Reference 84
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:56:06.249239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation bd7e4bc1-078d-45cb-a53c-83be2108b3fd · outbound
This paper cites FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models
Reference 85
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T12:56:06.081616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e1688fa2-0463-49fb-817d-362e724abcce · outbound
This paper cites Knowledge Fusion of Large Language Models.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Knowledge Fusion of Large Language Models
Reference 86
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T12:56:06.109359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e1ba172a-7db7-418e-b489-27f2013a4bda · outbound
This paper cites International Conference on Machine Learning , pages=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion International Conference on Machine Learning , pages=
Reference 87
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.659159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5689ebc8-03af-4437-afe6-af1d0923fe7d · outbound
This paper cites an unresolved cited work.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Unresolved cited work
Reference 88
- Resolution
- unresolved
- raw_fallback, observed 2026-05-22T20:37:05.533951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a09a9a22-0991-4e82-9ea7-9a23cc81c596 · outbound
This paper cites an unresolved cited work.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Unresolved cited work
Reference 89
- Resolution
- unresolved
- raw_fallback, observed 2026-05-22T20:37:05.421410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c2110036-1aa9-490a-96d3-3ac28d4f7bf8 · outbound
This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion HellaSwag: Can a Machine Really Finish Your Sentence?
Reference 90
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T12:56:05.878275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 38a281d0-378e-4864-b778-cf83b4ec104f · outbound
This paper cites Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
Reference 91
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T12:56:06.126972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6e618af8-0920-4dd5-8588-158b22b5bd4d · outbound
This paper cites Advances in neural information processing systems , volume=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Advances in neural information processing systems , volume=
Reference 92
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.511029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 867a9ac2-ad44-43c0-9ea5-46960a65a29e · outbound
This paper cites Advances in neural information processing systems , volume=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Advances in neural information processing systems , volume=
Reference 93
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.554627Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 31753e6e-c7eb-4d07-99f9-d47c6db3905d · outbound
This paper cites Large Language Models Can Self-Improve.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Large Language Models Can Self-Improve
Reference 94
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T17:00:48.316458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7e4130fc-b6c4-42a8-aba3-058def09abf2 · outbound
This paper cites Findings of the Association for Computational Linguistics: ACL 2023 , pages=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Findings of the Association for Computational Linguistics: ACL 2023 , pages=
Reference 95
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.465166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 52883f61-fcad-49f6-9403-8837961415c1 · outbound
This paper cites Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
Reference 96
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.651027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6f3f8fd7-dfec-4e28-9d87-ecd1a16eb503 · outbound
This paper cites Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
Reference 97
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.467041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 722a7d64-d629-4ce0-b46d-b1245ea9387c · outbound
This paper cites Training Verifiers to Solve Math Word Problems.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Training Verifiers to Solve Math Word Problems
Reference 98
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T12:56:06.032354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3e71cf1b-d5dd-45f2-8ee5-570452733faa · outbound
This paper cites Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages=.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages=
Reference 99
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T20:37:05.558781Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e3247f08-d79d-4cab-b61c-da77af612746 · outbound
This paper cites PUMA: secure inference of llama-7b in five minutes.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion PUMA: secure inference of llama-7b in five minutes
Reference 100
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T12:56:06.116910Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Pith citing papers
No inbound Pith citation observations are available.