Paper Citation Record · LEDGER

RAGAL: A Frugal, Fully Local Retrieval-Augmented Assistant for Technical Support at a Government Agency

As of 9 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2607.18756.

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

pith.paper-citation-record.v1
2607.18756 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T14:30:35.625784Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

11 of 11 outbound references displayed

verified exact0
verified fuzzy0
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e9b20226-9ee6-4c1c-bbe8-89d8da3bf6e4 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

RAGAL: A Frugal, Fully Local Retrieval-Augmented Assistant for Technical Support at a Government Agency Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T14:30:34.919780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55394ad6-b8ab-428d-8530-e83b08f2842d · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

RAGAL: A Frugal, Fully Local Retrieval-Augmented Assistant for Technical Support at a Government Agency Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T14:30:34.970193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b69bb86-1f63-4784-a972-061cdbe86318 · outbound

This paper cites Efficient Natural Language Response Suggestion for Smart Reply.

RAGAL: A Frugal, Fully Local Retrieval-Augmented Assistant for Technical Support at a Government Agency Efficient Natural Language Response Suggestion for Smart Reply

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T14:30:35.048458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1132ebc8-669b-438b-9602-395a41e38998 · outbound

This paper cites GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval.

RAGAL: A Frugal, Fully Local Retrieval-Augmented Assistant for Technical Support at a Government Agency GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T14:30:35.141673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6088e9d1-f2bc-4013-96f3-e92ba617a301 · outbound

This paper cites GRILE: A Benchmark for Grammar Reason- ing and Explanation in Romanian LLMs,.

RAGAL: A Frugal, Fully Local Retrieval-Augmented Assistant for Technical Support at a Government Agency GRILE: A Benchmark for Grammar Reason- ing and Explanation in Romanian LLMs,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T14:30:35.221808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a2e8518-9fc8-42a4-87a4-a5973d220d85 · outbound

This paper cites Finetune-RAG: Fine-Tuning Language Models to Resist Hallucination in Retrieval-Augmented Generation,.

RAGAL: A Frugal, Fully Local Retrieval-Augmented Assistant for Technical Support at a Government Agency Finetune-RAG: Fine-Tuning Language Models to Resist Hallucination in Retrieval-Augmented Generation,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T14:30:35.288217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 187c4f63-c7ac-4d18-858f-a8ede73feb10 · outbound

This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

RAGAL: A Frugal, Fully Local Retrieval-Augmented Assistant for Technical Support at a Government Agency M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T14:30:35.349759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 078a9e41-8aff-4afc-b222-4031ba1de688 · outbound

This paper cites Reciprocal Rank Fusion Outperforms Condorcet and Individual Rank Learning Methods,.

RAGAL: A Frugal, Fully Local Retrieval-Augmented Assistant for Technical Support at a Government Agency Reciprocal Rank Fusion Outperforms Condorcet and Individual Rank Learning Methods,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T14:30:35.411741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aec9d49b-5138-48d3-979d-83f9af323cdb · outbound

This paper cites 8-bit Optimizers via Block-wise Quantization.

RAGAL: A Frugal, Fully Local Retrieval-Augmented Assistant for Technical Support at a Government Agency 8-bit Optimizers via Block-wise Quantization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T14:30:35.482308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed3550a1-5695-4c6c-8e0a-5be0fc61074b · outbound

This paper cites Training Deep Nets with Sublinear Memory Cost,.

RAGAL: A Frugal, Fully Local Retrieval-Augmented Assistant for Technical Support at a Government Agency Training Deep Nets with Sublinear Memory Cost,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T14:30:35.564692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5f1961b-2f38-450e-9515-f691bf4ce7fc · outbound

This paper cites Training Deep Nets with Sublinear Memory Cost.

RAGAL: A Frugal, Fully Local Retrieval-Augmented Assistant for Technical Support at a Government Agency Training Deep Nets with Sublinear Memory Cost

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-01T14:30:35.625784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.