Pith. sign in

Paper Citation Record · LEDGER

Empirical Study of Zero-Shot NER with ChatGPT

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2310.10035.

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

pith.paper-citation-record.v1
2310.10035 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:21:21.117394Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:43:25.538391Z

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 4d9970cd-e340-45d2-985b-11da336e632a · inbound

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition cites this paper.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition Empirical Study of Zero-Shot NER with ChatGPT

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:43:25.541356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-23T20:40:09.530799Z digest=sha256:f86dc0ab6e7a9d0d2eaab4489074742594aae588cba7325650930416cf3e28f3

Observation 4c3fc912-cc2d-400e-a067-ef65e08273f8 · inbound

Beyond path selection: Better LLMs for Scientific Information Extraction with MimicSFT and Relevance and Rule-induced(R$^2$)GRPO cites this paper.

Beyond path selection: Better LLMs for Scientific Information Extraction with MimicSFT and Relevance and Rule-induced(R$^2$)GRPO Empirical Study of Zero-Shot NER with ChatGPT

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T13:21:21.117394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:21:21.117394Z digest=sha256:70eb3b86bd1c7c661ef1f0207de7457915188f60bef867c98bfccf4f021a6c78

Observation dde5e7f4-4e37-4ada-9713-6fa0ccd848f7 · inbound

Token and Span Classification for Entity Recognition in French Historical Encyclopedias cites this paper.

Token and Span Classification for Entity Recognition in French Historical Encyclopedias Empirical Study of Zero-Shot NER with ChatGPT

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T11:19:56.718306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:19:56.718306Z digest=sha256:baabb658d90a0f63a127f0bd5050959ff8ffd5a61831588dbb167180226bb365

Observation 1c18f898-fd63-4c72-9155-648cbeaf16f3 · inbound

MariNER: A Dataset for Historical Brazilian Portuguese Named Entity Recognition cites this paper.

MariNER: A Dataset for Historical Brazilian Portuguese Named Entity Recognition Empirical Study of Zero-Shot NER with ChatGPT

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T21:55:07.527447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:55:07.527447Z digest=sha256:cdb451a2433b70a657740884d03ef04ed0b7a10c09787339b319ade88fcde8f9

Observation 48808cc0-4fc0-4ad3-a423-b78cd927934c · inbound

Beyond the Basics: Leveraging Large Language Model for Fine-Grained Medical Entity Recognition cites this paper.

Beyond the Basics: Leveraging Large Language Model for Fine-Grained Medical Entity Recognition Empirical Study of Zero-Shot NER with ChatGPT

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:56:47.623181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T06:53:38.384323Z digest=sha256:a5c79eb005a21baf74243a1cc14f8bf05874179179a23e17a94103a89a3e99bb

Observation c6857075-148b-4519-820d-34cbefdba638 · inbound

LA-RL: Label-Aware Self-Reflection for Reinforcement Learning in Information Extraction cites this paper.

LA-RL: Label-Aware Self-Reflection for Reinforcement Learning in Information Extraction Empirical Study of Zero-Shot NER with ChatGPT

Reference 175

Resolution
unresolved
no resolver link, observed 2026-07-30T22:49:43.494497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T22:49:43.494497Z digest=sha256:9e05740b19c276aad5f7c4e17f6806d89a11622431f948eb1940bc9565972f30