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Paper Citation Record · LEDGER

One-Shot Learning as Instruction Data Prospector for Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2312.10302.

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

pith.paper-citation-record.v1
2312.10302 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:07:25.061246Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T08:02:23.899076Z

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 e19c190a-a269-4b39-bc60-e79be703cff5 · inbound

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model cites this paper.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model One-Shot Learning as Instruction Data Prospector for Large Language Models

Reference 101

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:23.902576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-19T08:02:23.002090Z digest=sha256:222626e7ef53c84cf43ddb02707d953f0f2b101fee7194c375bdb5497da342e7

Observation 36ced373-3a8b-4c6e-bfdc-8263ea3d4f3f · inbound

A Short Survey on Formalising Software Requirements using Large Language Models cites this paper.

A Short Survey on Formalising Software Requirements using Large Language Models One-Shot Learning as Instruction Data Prospector for Large Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T01:07:25.061246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:07:25.061246Z digest=sha256:7d11a2726893dab297df9a6b8263ea192238ae67d579c54896e7ab35482882e8

Observation 60df170c-8e92-4e7f-83c0-c9dc398f1c91 · inbound

Leveraging LLMs for Formal Software Requirements -- Challenges and Prospects cites this paper.

Leveraging LLMs for Formal Software Requirements -- Challenges and Prospects One-Shot Learning as Instruction Data Prospector for Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T16:13:51.795465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:13:51.795465Z digest=sha256:56d1cc20da7b17478ab768e062d353c76086b9c8eeea414afa9d09a0a1ae5187

Observation 54bb4688-0ee2-49f9-b540-345e6d2dfb82 · inbound

Active Domain Knowledge Acquisition with 100-Dollar Budget: Enhancing LLMs via Cost-Efficient, Expert-Involved Interaction in Sensitive Domains cites this paper.

Active Domain Knowledge Acquisition with 100-Dollar Budget: Enhancing LLMs via Cost-Efficient, Expert-Involved Interaction in Sensitive Domains One-Shot Learning as Instruction Data Prospector for Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-05T17:02:40.425968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:02:40.425968Z digest=sha256:caff1bc1e0301e49bb24a1201de86eb8e97ba6a7ff96524773c6a9819996c384

Observation a7018289-4ba5-48b1-8edf-7ded958720de · inbound

Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods cites this paper.

Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods One-Shot Learning as Instruction Data Prospector for Large Language Models

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T07:11:53.303699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T07:09:21.652035Z digest=sha256:b69609f2131404d16ef4720a84b39535d8f821a5d850865ea0ae847a5bbbe4ee