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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-07T06:34:17.273281+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=sha256:15df1173db7cab6a02b8480a99519d407e493a65035550bd2773375996ada0d3

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=sha256:637aca5ed4a24bfe9cf92d5e9aa65856a45bf07b5ee89cf72a05941e16a51140

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=sha256:8a84b36775d2b5bc4201a6b62d4d399df7b139b5096d506c32eadef1735126a1

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T05:43:04.813867Z digest=sha256:28047ee6bbbced55e5ee860c99cad57fb7b405102808928bced5d60a1bbb1d63

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T18:20:43.092561Z digest=sha256:14dd15f3118feb50685353c4e0e1687d03ed8a77e23a169f488edee1cd290959