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Paper Citation Record · LEDGER

Text Classification via Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2305.08377.

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

pith.paper-citation-record.v1
2305.08377 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:49:27.835521Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T15:43:32.875577Z

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 12d682aa-9696-4c17-bd0d-e2fa534712fc · inbound

Exploring the Potential of Large Language Models to Simulate Personality cites this paper.

Exploring the Potential of Large Language Models to Simulate Personality Text Classification via Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-08T05:49:27.835521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:49:27.835521Z digest=sha256:2799de7d831628a651ae16fdf60add07d524f7d1212894c9ee0b79eb8f3f2104

Observation 6875d0ee-2f5a-41e4-a4c4-65e207abcc1f · inbound

SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use cites this paper.

SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use Text Classification via Large Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T14:52:30.375712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:52:30.375712Z digest=sha256:6910a7fc7714520439bb1b22f98fbcd7cb0329e657781104bdc20b254aa469dc

Observation 45b2d580-965c-44f0-834c-c603bc2f61b0 · inbound

Semantic Source Code Segmentation using Small and Large Language Models cites this paper.

Semantic Source Code Segmentation using Small and Large Language Models Text Classification via Large Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T18:14:06.368007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:14:06.368007Z digest=sha256:ce3b3fb2d444a0044eb07cebbbc421ca0e1897ee131a68a41a7d77e2dbf3d708

Observation 5c22b0ff-da08-49cf-ba32-4440e293b21b · inbound

ClaHF: A Human Feedback-inspired Reinforcement Learning Framework for Improving Classification Tasks cites this paper.

ClaHF: A Human Feedback-inspired Reinforcement Learning Framework for Improving Classification Tasks Text Classification via Large Language Models

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T15:13:24.951372Z

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=2026-05-20T15:11:27.420642Z digest=sha256:31f6cff9015c520247605e5a2bc7d0799b220154b6bad7f0355e8c79c65071c6

Observation e12a4e64-2f08-410c-aa7c-dda84ae53760 · inbound

Mask-to-Correct$^+$: Leveraging Retriever Diversity for Masking-guided Faithful Fact Correction cites this paper.

Mask-to-Correct$^+$: Leveraging Retriever Diversity for Masking-guided Faithful Fact Correction Text Classification via Large Language Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-21T01:03:52.806058Z

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=2026-05-21T01:03:13.602009Z digest=sha256:61893957f3392e068fb88d32db6db8bd673b7a08d3ef4d57541728c8685f57b0

Observation 11e17a00-a6b5-4b35-8a83-e12031cf98b9 · inbound

Structuring Human-AI Productive Interdependence by Strategic Level of Automation Selection for Qualitative Inquiry cites this paper.

Structuring Human-AI Productive Interdependence by Strategic Level of Automation Selection for Qualitative Inquiry Text Classification via Large Language Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-29T15:43:32.877162Z

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=2026-06-29T15:30:05.533548Z digest=sha256:a9128f9a4f993274cfb2bffdcb2ccb9eef15f7b73dbcf0a184cf309a588a5d70

Observation 8498d679-45c7-41b5-9a36-ac4156718ed8 · inbound

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization cites this paper.

Large Language Models for Token-Efficient and Semantic-Preserving Opinion Summarization Text Classification via Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-07-14T08:58:37.267426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T08:58:37.267426Z digest=sha256:7042bec70d4f6055eda20c079cae615af3ead20944ea32a9f1d268fd21cfc137