Paper Citation Record · LEDGER

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models

As of 16 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 3 inbound Pith citation observations for arXiv:2505.17051.

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

pith.paper-citation-record.v1
2505.17051 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:02:03.287322Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T00:27:41.609691Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

62 of 62 outbound references displayed

verified exact3
verified fuzzy25
unresolved33
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation d30b283d-b186-4fb3-98b2-dac9dbfcc71d · outbound

This paper cites Pens: A dataset and generic framework for personalized news headline generation.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Pens: A dataset and generic framework for personalized news headline generation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:04.308514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f5a0fde8-8d9c-41fd-b6a1-bf9aa0ef35ee · outbound

This paper cites Transparent, scrutable and explainable user models for personalized recommendation.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Transparent, scrutable and explainable user models for personalized recommendation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:04.292883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c0502cf9-4f71-4eb9-93ef-29ec90b6542d · outbound

This paper cites Persona: A reproducible testbed for pluralistic alignment.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Persona: A reproducible testbed for pluralistic alignment

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:04.279373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bf80ff4c-df58-457f-84d7-c9f88876dc72 · outbound

This paper cites MaxMin-RLHF: Alignment with Diverse Human Preferences.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models MaxMin-RLHF: Alignment with Diverse Human Preferences

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.047106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79939c40-b339-4f7c-a549-0936bb219024 · outbound

This paper cites Direct preference optimization with unobserved preference heterogeneity.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Direct preference optimization with unobserved preference heterogeneity

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.052149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c197f690-c862-491b-8468-bda49aee6845 · outbound

This paper cites Personalized audiobook recommendations at spotify through graph neural networks.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Personalized audiobook recommendations at spotify through graph neural networks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:04.266491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 889c1c5c-cf9e-40f5-a7ad-b188994a5af8 · outbound

This paper cites User Embedding Model for Personalized Language Prompting.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models User Embedding Model for Personalized Language Prompting

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.061415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b57cabce-07d8-4eee-b8c8-d469259fad96 · outbound

This paper cites KTO: Model Alignment as Prospect Theoretic Optimization.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models KTO: Model Alignment as Prospect Theoretic Optimization

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.065643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1349b55e-f109-4831-914d-7724764e4968 · outbound

This paper cites Stylept: Personalized neural text style transfer via prompt tuning.proceedings of the 37th aaai conference on artificial intelligence (aaai 2023), pages 9135–9143, 2023.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Stylept: Personalized neural text style transfer via prompt tuning.proceedings of the 37th aaai conference on artificial intelligence (aaai 2023), pages 9135–9143, 2023

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:04.254170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f515a9f9-f47c-4712-a496-d4fe33a4239b · outbound

This paper cites Generalized User Representations for Transfer Learning.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Generalized User Representations for Transfer Learning

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:02:03.783408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0b4cdffa-d9aa-4dbc-85aa-6ecf08918b79 · outbound

This paper cites In-context Autoencoder for Context Compression in a Large Language Model.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models In-context Autoencoder for Context Compression in a Large Language Model

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.079849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da52ba7f-3ea0-4e81-a321-82af256bbd3a · outbound

This paper cites The Llama 3 Herd of Models.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models The Llama 3 Herd of Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.085271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b67b106-e4c8-404b-bc62-f37d24fa7c4d · outbound

This paper cites Transformer with memory as personalized gpt for dialogue agents.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Transformer with memory as personalized gpt for dialogue agents

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:04.242183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ac041ce8-9584-48ab-92aa-f3772b2bba17 · outbound

This paper cites Neural collaborative filtering.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Neural collaborative filtering

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.092651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a178d35d-b820-4cb7-954a-bbd78aef3f43 · outbound

This paper cites PERSOMA: PERsonalized SOft ProMpt Adapter Architecture for Personalized Language Prompting.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models PERSOMA: PERsonalized SOft ProMpt Adapter Architecture for Personalized Language Prompting

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.096140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f37cdeeb-de29-4df8-8cc2-e6b0446417d0 · outbound

This paper cites Free energy analyses of cell-penetrating peptides using the weighted ensemble method.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Free energy analyses of cell-penetrating peptides using the weighted ensemble method

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T21:02:03.732224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1a11ee79-98c4-43c8-affc-e2ce6cbc1414 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Lora: Low-rank adaptation of large language models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.103879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9eff7bf4-e7fd-454f-ad02-38e978e8f125 · outbound

This paper cites Lapdog: Learning retrieval augmentation for personalized dialogue generation.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Lapdog: Learning retrieval augmentation for personalized dialogue generation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:04.212337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a57eb3a4-9875-43fc-8baa-aeb7657e2648 · outbound

This paper cites Aligning Language Models to User Opinions.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Aligning Language Models to User Opinions

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.110461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99647fb3-f4e3-4aa5-9b04-dc02c3addc5f · outbound

This paper cites Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.114543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a707778c-d31b-4b91-adbc-56a137045812 · outbound

This paper cites Personalized language models via privacy- preserving evolutionary model merging.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Personalized language models via privacy- preserving evolutionary model merging

Reference 21

Resolution: verified exact; raw_fallback, observed 2026-08-15T21:02:03.681963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d3fef1bc-544d-48e4-a445-b8fa79e4294f · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Adam: A Method for Stochastic Optimization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.122154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9e7eee9-d520-4cef-b15c-ac5bdad06977 · outbound

This paper cites ComPO: Community Preferences for Language Model Personalization.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models ComPO: Community Preferences for Language Model Personalization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.125926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fe9890a-a76e-45df-907b-211070058a32 · outbound

This paper cites P5: Plug-and-play persona prompting for personal- ized response selection.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models P5: Plug-and-play persona prompting for personal- ized response selection

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:04.198218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ff457614-973d-443d-9c9b-84560831f2f9 · outbound

This paper cites The power of scale for parameter-efficient prompt tuning.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models The power of scale for parameter-efficient prompt tuning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:04.183782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2335e8c1-fa4e-4dff-9fdc-dcc5e0d1fb30 · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.137492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad4aaaa5-6a1f-4249-93b2-689bed80cdcf · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.141168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47d7bfc9-e4e0-437f-9c02-f7b2eb2937e0 · outbound

This paper cites Personalized item embeddings in federated multimodal recommendation.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Personalized item embeddings in federated multimodal recommendation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:04.157121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3b9af0df-5e59-4c45-adc1-47869ef2b785 · outbound

This paper cites 500xCompressor: Generalized Prompt Compression for Large Language Models.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models 500xCompressor: Generalized Prompt Compression for Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.149453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b988c9ea-74ef-4884-88d3-88c79604a219 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Rouge: A package for automatic evaluation of summaries

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.153088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b16d1249-156e-4dd5-924a-a3076b1a3c1c · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.156725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5eb5a081-3769-4c29-969c-149cb8697929 · outbound

This paper cites A survey of personalized large language models.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models A survey of personalized large language models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.160124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d54abe7-9366-43f8-a156-e078b7d1d785 · outbound

This paper cites Llms + persona-plug = personalized llms.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Llms + persona-plug = personalized llms

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:04.117387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 77c10429-9d24-4bce-bfa8-b9403f5c3a23 · outbound

This paper cites Xrec: Large language models for explainable recommendation.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Xrec: Large language models for explainable recommendation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:04.101781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 67d545ab-bbbd-4ffb-9e08-34ed495e256e · outbound

This paper cites Personalizing dialogue agents via meta-learning.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Personalizing dialogue agents via meta-learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:04.086766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a6309277-3922-4564-a86f-cd9058059c7a · outbound

This paper cites Personalized paraphrasing: Controlling the formality and style of text.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Personalized paraphrasing: Controlling the formality and style of text

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:04.072313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 099005e2-2fab-4a20-8684-eae094dd79f1 · outbound

This paper cites User-LLM: Efficient LLM Contextualization with User Embeddings.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models User-LLM: Efficient LLM Contextualization with User Embeddings

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.181524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed391dc7-1436-476f-9902-3e31828b5d32 · outbound

This paper cites Recommender systems with generative retrieval.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Recommender systems with generative retrieval

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.186130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87027175-a6f3-4afb-bc11-295b2520c839 · outbound

This paper cites LaMP: When Large Language Models Meet Personalization.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models LaMP: When Large Language Models Meet Personalization

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.192832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0248f60f-90f5-4721-aa67-0b51db24519b · outbound

This paper cites Whose opinions do language models reflect? In International Conference on Machine Learning, pages 29971–30004.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Whose opinions do language models reflect? In International Conference on Machine Learning, pages 29971–30004

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.197165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49da6413-21c2-4efa-906c-0995830cdede · outbound

This paper cites LMFusion: Adapting Pretrained Language Models for Multimodal Generation.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models LMFusion: Adapting Pretrained Language Models for Multimodal Generation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.202470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c0acf2c-dcbd-460a-91eb-0e9a563efdf6 · outbound

This paper cites Better generalization with semantic ids: A case study in ranking for recommendations.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Better generalization with semantic ids: A case study in ranking for recommendations

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.206801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f680662e-dadc-447d-8c38-57df903d95a7 · outbound

This paper cites A multi-stage approach for persona-aware response generation.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models A multi-stage approach for persona-aware response generation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:04.031195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a1148751-83f8-4b19-9426-180228dbf14c · outbound

This paper cites Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.215244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ded11a61-f327-4a83-adfa-169ac0a560ad · outbound

This paper cites Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.220418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38c2f07d-5654-4ca4-b2b2-6794336f2176 · outbound

This paper cites Step-Back Profiling: Distilling User History for Personalized Scientific Writing.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Step-Back Profiling: Distilling User History for Personalized Scientific Writing

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.224700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26667197-5793-4dfb-ab56-2724f60e4960 · outbound

This paper cites Demystifying Embedding Spaces using Large Language Models.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Demystifying Embedding Spaces using Large Language Models

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:02:03.384384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2a4619c6-7ea4-408c-860c-f42bbb66f783 · outbound

This paper cites Modeling users’ personality for response generation in conversational agent.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Modeling users’ personality for response generation in conversational agent

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:04.019910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ee5d7b11-8327-440b-b0b9-86903de610b1 · outbound

This paper cites Large Language Model as a Universal Clinical Multi-task Decoder.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Large Language Model as a Universal Clinical Multi-task Decoder

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.237117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 600be5a3-76c4-468a-b722-5628f6600c28 · outbound

This paper cites Building your own chatbot with customized persona.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Building your own chatbot with customized persona

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:04.008842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dc3fca91-03e0-4053-a022-d942f6633f09 · outbound

This paper cites Personalized LLM Response Generation with Parameterized Memory Injection.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Personalized LLM Response Generation with Parameterized Memory Injection

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.245063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c87d9e9e-ef99-4ff3-be46-ccc7970b6102 · outbound

This paper cites Llama-adapter: Efficient fine-tuning of large language models with zero-initialized attention.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Llama-adapter: Efficient fine-tuning of large language models with zero-initialized attention

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:03.997774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e78bbb66-aeda-46d2-943f-695fa26f4027 · outbound

This paper cites an unresolved cited work.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:02:03.986371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4cf98ec0-d32e-4d2d-85d9-cc52bba4de39 · outbound

This paper cites Personalize your llm: Fake it then align it.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Personalize your llm: Fake it then align it

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:03.974385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9408749f-0049-476b-89f0-5919b8559098 · outbound

This paper cites Less is more: Learning to refine dialogue history for personalized dialogue generation.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Less is more: Learning to refine dialogue history for personalized dialogue generation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:03.961912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9e586c4c-69f5-4b48-afea-739f3fc6105c · outbound

This paper cites Useradapter: Few-shot user learning in sentiment analysis.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models Useradapter: Few-shot user learning in sentiment analysis

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:03.949057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 45ea48c1-f977-4c1e-85e1-7099554962e9 · outbound

This paper cites DiffLM: Controllable Synthetic Data Generation via Diffusion Language Models.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models DiffLM: Controllable Synthetic Data Generation via Diffusion Language Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.265878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be414146-c8b6-40d3-8d37-2f54d6e33d1c · outbound

This paper cites HYDRA: Model Factorization Framework for Black-Box LLM Personalization.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models HYDRA: Model Factorization Framework for Black-Box LLM Personalization

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:03.269290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f48898b3-da56-4a8c-8914-15e225b2d8c2 · outbound

This paper cites We start from the “cleaned” HuggingFace edition (version dated 2024-03-01, 122,499 dialogues).

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models We start from the “cleaned” HuggingFace edition (version dated 2024-03-01, 122,499 dialogues)

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:03.936013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 01ef7b10-fd2e-4b85-9112-b97e0359afdb · outbound

This paper cites We use the official v7 TSV dump distributed on Kaggle and respect its train/valid/personalized_test partition.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models We use the official v7 TSV dump distributed on Kaggle and respect its train/valid/personalized_test partition

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:03.923820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 706608ab-65a1-4cec-8674-f9f40175b558 · outbound

This paper cites This internal dataset consists of 300,000 user queries and generated playlists.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models This internal dataset consists of 300,000 user queries and generated playlists

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:03.910471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ed9314f4-4ab8-46af-bed0-f3a6ec34cf98 · outbound

This paper cites AlekseyKorshuk/persona-chat.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models AlekseyKorshuk/persona-chat

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:03.897334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation 76b80eaf-5f02-4175-b7f1-fcac5525174f · inbound

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda cites this paper.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models

Reference 149

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:31:30.812951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b4df45f5-88bd-43cf-995d-37e2667e516c · inbound

ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation cites this paper.

ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-21T01:03:52.938509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ead5af15-9a44-414f-b2a2-6f37fbcc63fd · inbound

Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection cites this paper.

Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models

Reference 49

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T00:28:42.962440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.