Paper Citation Record · LEDGER

Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2303.08559.

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

pith.paper-citation-record.v1
2303.08559 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:38:33.656982Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T23:46:23.741268Z

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 52e2aa5a-b60f-49de-85fa-d237e93d4c83 · inbound

Retrieval-Augmented Generation for Large Language Models: A Survey cites this paper.

Retrieval-Augmented Generation for Large Language Models: A Survey Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

Reference 103

Resolution: verified exact; arxiv_id, observed 2026-05-24T05:13:56.741268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation adaa5728-3d01-4c1b-9d66-d948edffff1c · inbound

Exploring Large Language Models for Multimodal Sentiment Analysis: Challenges, Benchmarks, and Future Directions cites this paper.

Exploring Large Language Models for Multimodal Sentiment Analysis: Challenges, Benchmarks, and Future Directions Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T14:22:28.005538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6451c6d-3f21-4005-a494-bc2d15d11fb5 · inbound

Towards DS-NER: Unveiling and Addressing Latent Noise in Distant Annotations cites this paper.

Towards DS-NER: Unveiling and Addressing Latent Noise in Distant Annotations Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:33.656982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78f5a409-d007-465c-9bad-28bfcc7a6a45 · inbound

Are Large Language Models Good at Detecting Propaganda? cites this paper.

Are Large Language Models Good at Detecting Propaganda? Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:27.306338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13bdd3b9-aa17-420e-a5fe-c12d33ed700c · inbound

Enhanced Multimodal Aspect-Based Sentiment Analysis by LLM-Generated Rationales cites this paper.

Enhanced Multimodal Aspect-Based Sentiment Analysis by LLM-Generated Rationales Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:18.916871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec05ad21-67df-41a2-9372-f16abc770267 · inbound

Spurious Correlations and Beyond: Understanding and Mitigating Shortcut Learning in SDOH Extraction with Large Language Models cites this paper.

Spurious Correlations and Beyond: Understanding and Mitigating Shortcut Learning in SDOH Extraction with Large Language Models Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:09.979252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6815ca17-8282-4aba-83ad-98c880cc7d3a · inbound

SGIC: A Self-Guided Iterative Calibration Framework for RAG cites this paper.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T23:52:43.523006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c186240-1f6d-4fae-a6e7-44f929afe3ad · inbound

OW-CLIP: Data-Efficient Visual Supervision for Open-World Object Detection via Human-AI Collaboration cites this paper.

OW-CLIP: Data-Efficient Visual Supervision for Open-World Object Detection via Human-AI Collaboration Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T17:57:36.052268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b8c57fd-419b-4835-be37-ccf2059a79c1 · inbound

Identifying Origins of Place Names via Retrieval Augmented Generation cites this paper.

Identifying Origins of Place Names via Retrieval Augmented Generation Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T13:01:09.035715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 608e5245-f0bf-4baf-9a7d-4df04509e5b0 · inbound

A Survey on Retrieval And Structuring Augmented Generation with Large Language Models cites this paper.

A Survey on Retrieval And Structuring Augmented Generation with Large Language Models Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

Reference 160

Resolution: unresolved; no resolver link, observed 2026-08-15T15:56:21.727781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4aabf532-340d-4e0c-b50c-622efcef997c · inbound

Job Skill Extraction via LLM-Centric Multi-Module Framework cites this paper.

Job Skill Extraction via LLM-Centric Multi-Module Framework Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:21:06.348923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e4b01ac2-fb19-4918-8da9-c5e05fa6279a · inbound

Geometric Decoherence Time in Lindbladian Dynamics cites this paper.

Geometric Decoherence Time in Lindbladian Dynamics Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-01T23:46:23.743858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.