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Paper Citation Record · LEDGER

Instruction Induction: From Few Examples to Natural Language Task Descriptions

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2205.10782.

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

pith.paper-citation-record.v1
2205.10782 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:41:21.409141Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T09:43:26.393328Z

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 16f234dd-9038-4fd4-a758-e5d6479132e5 · inbound

Large Language Models Are Human-Level Prompt Engineers cites this paper.

Large Language Models Are Human-Level Prompt Engineers Instruction Induction: From Few Examples to Natural Language Task Descriptions

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-24T09:43:26.396441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T09:43:26.288866Z digest=sha256:55f1b75e54a6f29eaf8b5a7c750ba5b355941be8085ce53fd37e2b2d8e0f3cba

Observation 119a7ae4-1230-40a9-9c1c-2ff9ef78e29f · inbound

ART: Automatic multi-step reasoning and tool-use for large language models cites this paper.

ART: Automatic multi-step reasoning and tool-use for large language models Instruction Induction: From Few Examples to Natural Language Task Descriptions

Reference 153

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T19:03:06.256849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-16T19:03:05.597295Z digest=sha256:22befc980b8376e77e248bc04865271bc7e844f0be034c95f765b928121b5925

Observation a31cae8d-3a1c-4ca2-a30a-c3cf2f94a4d3 · inbound

EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers cites this paper.

EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers Instruction Induction: From Few Examples to Natural Language Task Descriptions

Reference 122

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T06:11:49.626815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-16T06:11:49.475825Z digest=sha256:115761258ddaaf90d5fdb9ae856de59e191714f57233affaaaaf38f4bec2d82b

Observation 737666c8-017a-4abe-8ad9-e6dfe7ac09ca · inbound

Exploring Prompt Patterns in AI-Assisted Code Generation: Towards Faster and More Effective Developer-AI Collaboration cites this paper.

Exploring Prompt Patterns in AI-Assisted Code Generation: Towards Faster and More Effective Developer-AI Collaboration Instruction Induction: From Few Examples to Natural Language Task Descriptions

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T11:41:21.409141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:41:21.409141Z digest=sha256:cb7e40594f8500b49d766161b9885c0602ff1005f9a10f8d8de6b4d166062681

Observation c13daac1-4acf-467d-8ca6-df58ae222450 · inbound

SI-Agent: An Agentic Framework for Feedback-Driven Generation and Tuning of Human-Readable System Instructions for Large Language Models cites this paper.

SI-Agent: An Agentic Framework for Feedback-Driven Generation and Tuning of Human-Readable System Instructions for Large Language Models Instruction Induction: From Few Examples to Natural Language Task Descriptions

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T20:21:23.439329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:21:23.439329Z digest=sha256:7f2bcf66938511ab1868249f6e8b09969c6d7be4c6b40d0f7379ea170de857e8

Observation 314f589b-2b15-4e92-bf33-f263bd055b06 · inbound

Soft Head Selection for Injecting ICL-Derived Task Embeddings cites this paper.

Soft Head Selection for Injecting ICL-Derived Task Embeddings Instruction Induction: From Few Examples to Natural Language Task Descriptions

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-19T02:41:59.741049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T02:41:52.906516Z digest=sha256:3bf3be35b586d0134219574f426aab00883c561cde6e7d8c808f202ff309cf07

Observation 0cdb574f-93a4-419c-aaef-923837cab154 · inbound

TDA-RC: Task-Driven Alignment for Knowledge-Based Reasoning Chains in Large Language Models cites this paper.

TDA-RC: Task-Driven Alignment for Knowledge-Based Reasoning Chains in Large Language Models Instruction Induction: From Few Examples to Natural Language Task Descriptions

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:25:35.982662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T12:21:39.237267Z digest=sha256:cf046cec0800ad111e62041738fb12762dab6adf4f7e26e76b7c8a632b57d802