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Paper Citation Record · LEDGER

Optimization Techniques for Sentiment Analysis Based on LLM (GPT-3)

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.09770.

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

pith.paper-citation-record.v1
2405.09770 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:04:02.540956Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T09:39:57.310066Z

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 0782d89d-5104-402d-96cd-44ac31358854 · inbound

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations cites this paper.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Optimization Techniques for Sentiment Analysis Based on LLM (GPT-3)

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T19:04:02.540956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:04:02.540956Z digest=sha256:940bc5819f855bf319b160ed07d2d78eba46b4f2fd2ca6e725eb93343db0e96e

Observation 50bab9c2-195b-46cf-ae7c-8da840704aae · inbound

Leveraging Large Language Models for Sentiment Analysis: Multi-Modal Analysis of Decentraland's MANA Token cites this paper.

Leveraging Large Language Models for Sentiment Analysis: Multi-Modal Analysis of Decentraland's MANA Token Optimization Techniques for Sentiment Analysis Based on LLM (GPT-3)

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-21T09:39:57.311958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-21T09:39:45.749564Z digest=sha256:8cd4c3206893c50e0a2db7756559824220235108faa1b16615b8b5daf3f608d5