Paper Citation Record · LEDGER

CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2305.05711.

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

pith.paper-citation-record.v1
2305.05711 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:06:22.966533Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T23:43:18.492122Z

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 5909ce5e-177a-4f9b-a880-f36337733f7d · inbound

Can AI Extract Antecedent Factors of Human Trust in AI? An Application of Information Extraction for Scientific Literature in Behavioural and Computer Sciences cites this paper.

Can AI Extract Antecedent Factors of Human Trust in AI? An Application of Information Extraction for Scientific Literature in Behavioural and Computer Sciences CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T15:05:32.513334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 863cd543-0f00-41ed-a924-d26530e43a1e · inbound

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records cites this paper.

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T11:06:22.966533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b7782ab-4d16-4d24-8eb3-3fb3af4dd5cd · inbound

MPL: Multiple Programming Languages with Large Language Models for Information Extraction cites this paper.

MPL: Multiple Programming Languages with Large Language Models for Information Extraction CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T15:10:12.145012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8765c390-d529-40a6-aed6-52dfefa09c12 · inbound

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models cites this paper.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:24:41.911933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fd67628-d2c4-4f7c-ae90-c635fdfb3318 · inbound

GuideX: Guided Synthetic Data Generation for Zero-Shot Information Extraction cites this paper.

GuideX: Guided Synthetic Data Generation for Zero-Shot Information Extraction CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T12:05:25.457966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e3ef2ed-2f52-439f-a127-3c58d4eaf6d8 · inbound

KnowCoder-V2: Deep Knowledge Analysis cites this paper.

KnowCoder-V2: Deep Knowledge Analysis CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:44.534144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0696460-675c-4feb-9cc7-0b74ba20f322 · inbound

A Semantic Parsing Framework for End-to-End Time Normalization cites this paper.

A Semantic Parsing Framework for End-to-End Time Normalization CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors

Reference 730

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:07.694214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7112e21-b828-4e8c-a4ea-b4f5c10a5dce · inbound

Analysing Lightweight Large Language Models for Biomedical Named Entity Recognition on Diverse Ouput Formats cites this paper.

Analysing Lightweight Large Language Models for Biomedical Named Entity Recognition on Diverse Ouput Formats CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-14T23:43:18.495546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.