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Paper Citation Record · LEDGER

Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:cs/0506075.

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

pith.paper-citation-record.v1
cs/0506075 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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:03:49.182037Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-21T05:33:58.603345Z

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 a09043d9-6814-43ec-9b68-fdc05caa51dd · inbound

Simple synthetic data reduces sycophancy in large language models cites this paper.

Simple synthetic data reduces sycophancy in large language models Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-05-16T14:48:08.644536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-16T14:48:08.508109Z digest=sha256:dc84db45255d838f8030773a3056be58b04ac62d7b36385d435c4fe1f5731e38

Observation d086e3e3-30b7-409b-9f25-e592378d824b · inbound

Recursive Offloading for LLM Serving in Multi-tier Networks cites this paper.

Recursive Offloading for LLM Serving in Multi-tier Networks Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T15:03:49.182037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:03:49.182037Z digest=sha256:5634859e6baca5b8e89ae2374ebf0743c2fd3787255340b4e4574befbfc5730a

Observation d0a78978-1fb8-4ccc-9e7d-608f70a2ecbf · inbound

Localizing Task Recognition and Task Learning in In-Context Learning via Attention Head Analysis cites this paper.

Localizing Task Recognition and Task Learning in In-Context Learning via Attention Head Analysis Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-05-18T13:31:25.476923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-18T13:26:59.080330Z digest=sha256:50ade516e8360e48f20b711e69fba3ee2ca6de432d69b936d50e54bba75ba666

Observation 89c4b3f8-259d-4cfb-b34e-dbbebd1a4dcd · inbound

Distributional Alignment as a Criterion for Designing Task Vectors in In-Context Learning cites this paper.

Distributional Alignment as a Criterion for Designing Task Vectors in In-Context Learning Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-05-21T05:33:58.604566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T05:32:01.059706Z digest=sha256:0f34fc9cabadce9a5a9710cb6d1f93541b70eaa43207492631e3af535ba85d37