Paper Citation Record · LEDGER

Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning

As of 10 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2506.13778.

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

pith.paper-citation-record.v1
2506.13778 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:28:46.800180Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

12 of 12 outbound references displayed

verified exact0
verified fuzzy1
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation db3bd3c3-3e89-462c-91b4-fca6b63a9366 · outbound

This paper cites The Llama 3 Herd of Models.

Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning The Llama 3 Herd of Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T05:28:46.056049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 626f72ee-d3a1-4ed2-b0ce-270768c27d70 · outbound

This paper cites Financial Report Chunking for Effective Retrieval Augmented Generation.

Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:28:46.144355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60e7a8bc-10fc-4170-a1f6-36bd892458ff · outbound

This paper cites RAG-Fusion: a New Take on Retrieval-Augmented Generation.

Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning RAG-Fusion: a New Take on Retrieval-Augmented Generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T05:28:46.380049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72d0b937-5bda-4054-8408-bb6324e56f1d · outbound

This paper cites MoC: Mixtures of Text Chunking Learners for Retrieval-Augmented Generation System.

Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning MoC: Mixtures of Text Chunking Learners for Retrieval-Augmented Generation System

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:28:46.543043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13e0cc46-9762-43fc-b8da-fcad8785a51a · outbound

This paper cites Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical Perception.

Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical Perception

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T05:28:46.619551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7267811-6a33-4c70-ac85-aab0fd43a8ae · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:28:46.693195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a386f0a0-d21c-4c93-b2ba-07c990c158ac · outbound

This paper cites HaluEval-Wild: Evaluating Hallucinations of Language Models in the Wild.

Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning HaluEval-Wild: Evaluating Hallucinations of Language Models in the Wild

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T05:28:46.800180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 661f2a0e-4e7e-40d8-9a27-2be08b2dfdc2 · outbound

This paper cites an unresolved cited work.

Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning Unresolved cited work

Reference 2019

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:28:47.262227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4a21f49c-79c1-4822-bbfb-1756f3dc1307 · outbound

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

Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T05:28:46.232657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5075d092-b273-4fc9-b58f-6c403f39a2ac · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T05:28:46.462687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd775c2c-a8de-4899-82cd-46079b765f40 · outbound

This paper cites LumberChunker: Long-Form Narrative Document Segmentation.

Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning LumberChunker: Long-Form Narrative Document Segmentation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T05:28:45.952568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1659899-70d3-4679-9abb-0e66d9272f0a · outbound

This paper cites Association for Computa- tional Linguistics.

Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning Association for Computa- tional Linguistics

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:47.120651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.