Paper Citation Record · LEDGER

SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.10040.

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

pith.paper-citation-record.v1
2405.10040 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:36:46.295455Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T05:09:46.096917Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4818be07-fe8f-4283-9165-7b4fe6afbd71 · inbound

CorrSynth -- A Correlated Sampling Method for Diverse Dataset Generation from LLMs cites this paper.

CorrSynth -- A Correlated Sampling Method for Diverse Dataset Generation from LLMs SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T21:36:46.295455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 143ffdd5-4881-47d6-84e9-ce13e77b19fe · inbound

SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval cites this paper.

SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T05:44:00.017013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca3d9863-5332-4cf6-b5aa-cc075e1c150c · inbound

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders cites this paper.

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-03T01:17:12.000998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abbf7541-dee2-4c73-81c3-7d3261f330f6 · inbound

Know When To Fold 'Em: Token-Efficient LLM Synthetic Data Generation via Multi-Stage In-Flight Rejection cites this paper.

Know When To Fold 'Em: Token-Efficient LLM Synthetic Data Generation via Multi-Stage In-Flight Rejection SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:09:46.099491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.