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Paper Citation Record · LEDGER

Iterative Data Generation with Large Language Models for Aspect-based Sentiment Analysis

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.00341.

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

pith.paper-citation-record.v1
2407.00341 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:43:05.229980Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T20:42:37.995831Z

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 55aa43d8-b267-4325-b9ef-ee44e9aee41b · inbound

Large Language Models Enhanced by Plug and Play Syntactic Knowledge for Aspect-based Sentiment Analysis cites this paper.

Large Language Models Enhanced by Plug and Play Syntactic Knowledge for Aspect-based Sentiment Analysis Iterative Data Generation with Large Language Models for Aspect-based Sentiment Analysis

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T00:43:05.229980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:43:05.229980Z digest=sha256:20493973d2febcebf53980c28739281aefcceba29b90f3e7176b4978ef8d46fe

Observation d30b8952-3c18-4866-9458-a45dcff163dd · inbound

Balanced Training Data Augmentation for Aspect-Based Sentiment Analysis cites this paper.

Balanced Training Data Augmentation for Aspect-Based Sentiment Analysis Iterative Data Generation with Large Language Models for Aspect-based Sentiment Analysis

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T17:59:30.822472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:59:30.822472Z digest=sha256:c8c8700bd104962e37cd5d5bc69d4a5dfca0bff0f2a1e1f3d6d7479223fdb988

Observation ad8c363f-dfb1-4508-87c7-f7792a072706 · inbound

Cross-lingual Aspect-Based Sentiment Analysis: A Survey on Tasks, Approaches, and Challenges cites this paper.

Cross-lingual Aspect-Based Sentiment Analysis: A Survey on Tasks, Approaches, and Challenges Iterative Data Generation with Large Language Models for Aspect-based Sentiment Analysis

Reference 134

Resolution
unresolved
no resolver link, observed 2026-08-05T21:03:14.959818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:03:14.959818Z digest=sha256:215e73c13cee7e26abda332b60edd8a97c736791d22a550bb4e71ec44845ecea

Observation bc169435-268d-46dd-8dbb-fe3228a117d7 · inbound

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval cites this paper.

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval Iterative Data Generation with Large Language Models for Aspect-based Sentiment Analysis

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:56:11.445357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-10T05:43:04.813867Z digest=sha256:8a2af73c4daa229cb726b61c731c8fc8bdec50ef300b31a23fbb714f3fd9de87

Observation 81763b9e-fb4d-462a-965a-a35d37afaf02 · inbound

MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation cites this paper.

MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation Iterative Data Generation with Large Language Models for Aspect-based Sentiment Analysis

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-06-28T20:42:37.997516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T18:20:43.092561Z digest=sha256:83c17e0181ee2b5452d3f3bd65815868c10bdf28f8b84b741fc0941897a146a7