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Paper Citation Record · LEDGER

CoCoP: Enhancing Text Classification with LLM through Code Completion Prompt

As of 13 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2411.08979.

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

pith.paper-citation-record.v1
2411.08979 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:14:33.957228Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a5bd403e-3afe-4432-a8bb-8053a0ee8a2b · outbound

This paper cites Challenges and Applications of Large Language Models.

CoCoP: Enhancing Text Classification with LLM through Code Completion Prompt Challenges and Applications of Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T21:14:33.923933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:14:33.923933Z digest=sha256:52b08a23309329b50216f53f5eb912b30e6fbbfe896eb9dedd5116b445bcc428

Observation 44557802-51d6-4320-b193-09f203a74614 · outbound

This paper cites In NeurIPS 2023 F oundation Models for Decision Making Workshop.

CoCoP: Enhancing Text Classification with LLM through Code Completion Prompt In NeurIPS 2023 F oundation Models for Decision Making Workshop

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:14:34.096430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T21:14:33.928332Z digest=sha256:6e04e5de1807068cda10a8ad970da06147ce7cf4adbb3786ebefd30835cef33e

Observation 0c97fdb1-8008-4571-9756-691ae056bdd2 · outbound

This paper cites In 2023 IEEE In- ternational Conference on Robotics and Automation (ICRA).

CoCoP: Enhancing Text Classification with LLM through Code Completion Prompt In 2023 IEEE In- ternational Conference on Robotics and Automation (ICRA)

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:14:34.085811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T21:14:33.932693Z digest=sha256:ca69cde0b9f3a11943ae7215f759b8d82ab9dca22f6ebba848f4b72c65c4e49f

Observation 80dba5df-df87-444f-96f9-1f7b5eae2abc · outbound

This paper cites Code Llama: Open Foundation Models for Code.

CoCoP: Enhancing Text Classification with LLM through Code Completion Prompt Code Llama: Open Foundation Models for Code

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T21:14:33.939426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:14:33.939426Z digest=sha256:90eb9fe8cc8058227a9d4d9caebb29d80c956a5b71ac9188305ecee0b19b773b

Observation 1e2e7dab-0e6c-4cc3-8448-1af9b2457f9b · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

CoCoP: Enhancing Text Classification with LLM through Code Completion Prompt Gemini: A Family of Highly Capable Multimodal Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T21:14:33.948326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:14:33.948326Z digest=sha256:49e93639dca263a8df792602117fc12b84471cf088db12f609a8263eaa98aead

Observation 70e223e9-6cde-4f03-8798-837a81010d92 · outbound

This paper cites Entailment as Few-Shot Learner.

CoCoP: Enhancing Text Classification with LLM through Code Completion Prompt Entailment as Few-Shot Learner

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T21:14:33.957228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:14:33.957228Z digest=sha256:a354ae9e8081df7d8d1d4767bca13e240fc7ad0b5b7e2c2463d5454084bb90af

Observation 44f32405-4110-4bf8-b6ce-54794f77a5c6 · outbound

This paper cites In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP).

CoCoP: Enhancing Text Classification with LLM through Code Completion Prompt In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Reference 2015

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:14:34.108270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T21:14:33.915622Z digest=sha256:e16b4578ae2409ef6f4a9e1eaab8d227a8d93e585a10defba6dcff2449ac8f2e

Observation c2fd2e60-a6cb-4b09-a9cf-56f8a676e13c · outbound

This paper cites In Proceed- ings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP.

CoCoP: Enhancing Text Classification with LLM through Code Completion Prompt In Proceed- ings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:14:34.063946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T21:14:33.953302Z digest=sha256:eb0decf3a79f0120e91331f9fe30a0b248acae777562af970abe9a3c7e6590a2

Observation 8691794c-4ee6-4527-990c-c272180d152a · outbound

This paper cites Evaluating Large Language Models Trained on Code.

CoCoP: Enhancing Text Classification with LLM through Code Completion Prompt Evaluating Large Language Models Trained on Code

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-12T21:14:33.919708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:14:33.919708Z digest=sha256:0a24dfd2f4a36e77c282dee89d2a411131d4e7633b4ee6222ca54efeb481fba7

Observation b38f35b3-7db2-4c0e-a03e-ee38fd68dacd · outbound

This paper cites Colin Raffel, Noam Shazeer, Adam Roberts, Kather- ine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu.

CoCoP: Enhancing Text Classification with LLM through Code Completion Prompt Colin Raffel, Noam Shazeer, Adam Roberts, Kather- ine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:14:34.074741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T21:14:33.936087Z digest=sha256:6da913b9a302447d8cd73f0ace3ef22b7c6f86b0441ffa65646865360f27cfcd

Observation cb0012f6-49ab-4372-a360-b1672698c60a · outbound

This paper cites GPT-4 Technical Report.

CoCoP: Enhancing Text Classification with LLM through Code Completion Prompt GPT-4 Technical Report

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-12T21:14:33.911191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:14:33.911191Z digest=sha256:c2f966cd9841c3c881ec074fd7a01ec9cee209709b577c44f684c9f2dba38b7f

Observation c07c6296-298f-47c1-b45b-ac5a7a065bb2 · outbound

This paper cites CodeGemma: Open Code Models Based on Gemma.

CoCoP: Enhancing Text Classification with LLM through Code Completion Prompt CodeGemma: Open Code Models Based on Gemma

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-12T21:14:33.943347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:14:33.943347Z digest=sha256:14341a2b86f500bbc62114a08bd9ec3311a7919dacdeebde483abf10ef628cc7

Pith citing papers

No inbound Pith citation observations are available.