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Paper Citation Record · LEDGER

Instruction Induction: From Few Examples to Natural Language Task Descriptions

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 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 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:07:30.026434Z

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T09:43:26.288866Z digest=sha256:16980171bb4d91a0b726875152ba697f36f16802b59ffad3598a55a3c47a50bf

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-16T19:03:05.597295Z digest=sha256:2a719db3e3b62940343afbfe2194a42e70968d56e830a8846b9c312b89f754fd

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-16T06:11:49.475825Z digest=sha256:c3b87f5f2945b9e75cba3ab9e990c8ed8b645d2d4a9b520dec7cb5c7c9ad5e45

Observation 95ec7773-709a-4f90-9a7e-841edd5df396 · inbound

SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization cites this paper.

SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization Instruction Induction: From Few Examples to Natural Language Task Descriptions

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T19:07:30.026434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:07:30.026434Z digest=sha256:adb2b14a80664db1be564e6c2027e583b62058335b18b16310e6a12ace3c1d9d

Observation 8d9c00dc-4ed3-47d1-bb44-abdccf0ec347 · inbound

Evaluating Language Models as Synthetic Data Generators cites this paper.

Evaluating Language Models as Synthetic Data Generators Instruction Induction: From Few Examples to Natural Language Task Descriptions

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T22:17:42.634690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:17:42.634690Z digest=sha256:beca9158a8c786df28d1d9cb05713e933570e696f2d9ae5284fc7c5c91c92747

Observation 935e3f3c-1add-426b-ac28-f6a9fa33d608 · inbound

On the Role of Model Prior in Real-World Inductive Reasoning cites this paper.

On the Role of Model Prior in Real-World Inductive Reasoning Instruction Induction: From Few Examples to Natural Language Task Descriptions

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T13:00:01.543389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:00:01.543389Z digest=sha256:a4789e8c9689a45652844753da66906211c2f7c785ec642d7014afbda4759190

Observation f6fb3c21-8c3d-4131-91c2-b3da15f3f714 · inbound

A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models cites this paper.

A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models Instruction Induction: From Few Examples to Natural Language Task Descriptions

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T21:56:58.985933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:56:58.985933Z digest=sha256:870b1caa717aa182b5f80a02da03b3c6526b49276641f116e1fd838eb10f254a

Observation 87239c91-4136-46d0-8525-35a0503807a3 · inbound

A Survey on Large Language Models with some Insights on their Capabilities and Limitations cites this paper.

A Survey on Large Language Models with some Insights on their Capabilities and Limitations Instruction Induction: From Few Examples to Natural Language Task Descriptions

Reference 178

Resolution
unresolved
no resolver link, observed 2026-08-10T22:17:56.069018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:17:56.069018Z digest=sha256:a3bad9ce114d42aa29ca4c428f59223cb36be3330b7bb45bf95f5fca685262d3

Observation c5fa5176-1e9b-4595-b587-c5c31a09d4b1 · inbound

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs cites this paper.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Instruction Induction: From Few Examples to Natural Language Task Descriptions

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T16:39:50.291424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:39:50.291424Z digest=sha256:152b21e9649ae2e97d785342b7f6d4474741792c33c5ed764e2774a1236ccbdc

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T02:41:52.906516Z digest=sha256:18e9b27bdf2f758122f082cc5b5b33ff0661236b5678b21ed6ad162762463722

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T12:21:39.237267Z digest=sha256:25146ed2e410b096151544107bd07fee652881ffc316d341f18192c992ec2213