Paper Citation Record · LEDGER

Assessing RAG and HyDE on 1B vs. 4B-Parameter Gemma LLMs for Personal Assistants Integretion

As of 7 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 1 inbound Pith citation observation for arXiv:2506.21568.

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

pith.paper-citation-record.v1
2506.21568 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:22:14.707396Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T08:37:51.046575Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

10 of 10 outbound references displayed

verified exact0
verified fuzzy2
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f42bad53-feba-43d7-a2ac-15ae0977e0b3 · outbound

This paper cites an unresolved cited work.

Assessing RAG and HyDE on 1B vs. 4B-Parameter Gemma LLMs for Personal Assistants Integretion Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:22:14.817480Z

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 31ba6a71-69ee-4d14-bae1-e2a92107a842 · outbound

This paper cites an unresolved cited work.

Assessing RAG and HyDE on 1B vs. 4B-Parameter Gemma LLMs for Personal Assistants Integretion Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:22:14.807845Z

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 3b70060d-4ab8-483d-a156-081d13273e6b · outbound

This paper cites 123 Main Street.

Assessing RAG and HyDE on 1B vs. 4B-Parameter Gemma LLMs for Personal Assistants Integretion 123 Main Street

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:14.798632Z

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 3c2cf1d2-0241-4130-9d92-3699a61b2a26 · outbound

This paper cites GPT-4 Technical Report.

Assessing RAG and HyDE on 1B vs. 4B-Parameter Gemma LLMs for Personal Assistants Integretion GPT-4 Technical Report

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:14.687960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c14600b1-4ef1-4ef5-9907-5758cac84158 · outbound

This paper cites Training language models to follow instructions with human feedback.

Assessing RAG and HyDE on 1B vs. 4B-Parameter Gemma LLMs for Personal Assistants Integretion Training language models to follow instructions with human feedback

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:14.691174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 413a9cd1-5877-4885-af20-d6eed46fa136 · outbound

This paper cites Language Models are Few-Shot Learners.

Assessing RAG and HyDE on 1B vs. 4B-Parameter Gemma LLMs for Personal Assistants Integretion Language Models are Few-Shot Learners

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:14.694693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66191c32-35b1-42a7-b407-0300d3b1cdd7 · outbound

This paper cites an unresolved cited work.

Assessing RAG and HyDE on 1B vs. 4B-Parameter Gemma LLMs for Personal Assistants Integretion Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:22:14.789846Z

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 66675cd6-b8ef-4ecf-9583-67c8de94ff1b · outbound

This paper cites (2017).Attention is All You Need.

Assessing RAG and HyDE on 1B vs. 4B-Parameter Gemma LLMs for Personal Assistants Integretion (2017).Attention is All You Need

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:14.781231Z

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 3798d3fc-ed73-4a71-b872-c84af8b4252f · outbound

This paper cites A Survey on Retrieval-Augmented Text Generation for Large Language Models.

Assessing RAG and HyDE on 1B vs. 4B-Parameter Gemma LLMs for Personal Assistants Integretion A Survey on Retrieval-Augmented Text Generation for Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:14.704411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7b1c942-96c1-4f92-8e73-3774b9388592 · outbound

This paper cites Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely.

Assessing RAG and HyDE on 1B vs. 4B-Parameter Gemma LLMs for Personal Assistants Integretion Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:14.707396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 93b65abf-1578-487c-bc4d-f87bdaba9225 · inbound

Multimodal Hybrid Retrieval-Augmented Generation for Scientific Document Understanding using Open-Source SLMs cites this paper.

Multimodal Hybrid Retrieval-Augmented Generation for Scientific Document Understanding using Open-Source SLMs Assessing RAG and HyDE on 1B vs. 4B-Parameter Gemma LLMs for Personal Assistants Integretion

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T08:37:51.046575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.