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Paper Citation Record · LEDGER

Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.05496.

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

pith.paper-citation-record.v1
2405.05496 v1

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 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:43:04.989994Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T20:50:36.441164Z

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 ecc0a669-a0d6-43a0-931f-184948bff9f6 · 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 Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T00:43:04.989994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:43:04.989994Z digest=sha256:bdb7077de9089cb7231e3bca4de151c4ea42826ba1f8945d3fd54a44b6057da4

Observation bafb6a53-e690-4ff2-833a-edb511b06d72 · inbound

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

Balanced Training Data Augmentation for Aspect-Based Sentiment Analysis Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T17:59:26.225752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:59:26.225752Z digest=sha256:cc0df814a63743b648b4014a5166b8e31b61b872845d1b8c3398e827f8a6a6e2

Observation da2fc479-44eb-42ad-9114-9023bc1671af · inbound

EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle cites this paper.

EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-18T06:20:58.369802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-18T06:19:44.360734Z digest=sha256:a0adf8cbc0adee29f4d551e93ab64e07365d261bf47f5cb1288bf4bdca9a81d9

Observation 2496eb9f-01ea-43eb-bb4c-887fe04713a0 · inbound

EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle cites this paper.

EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-21T20:50:36.443572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T20:50:06.642976Z digest=sha256:37b0b816751dbfb70b91bf693b9d57de8d74cea60eb9ea10a21948c7d57b9587