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Paper Citation Record · LEDGER

Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2102.07350.

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

pith.paper-citation-record.v1
2102.07350 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:18:30.862106Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T14:34:45.647371Z

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 c635f27d-b4ca-48ba-994f-9ac455344d51 · inbound

Multitask Prompted Training Enables Zero-Shot Task Generalization cites this paper.

Multitask Prompted Training Enables Zero-Shot Task Generalization Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

Reference 48

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T17:59:43.189084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-14T17:59:42.765380Z digest=sha256:a5767da346d377b1329bd5a72efc7e1ce32efc5d7d576a69be29e84229bd8509

Observation 6b0c984e-c43f-4655-aca5-c73e4c003623 · inbound

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models cites this paper.

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:54:44.776127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T12:54:44.636760Z digest=sha256:c3103101d916dedcd5d1b4b5842bb8e6f8a6aae6846873cc5e1277cd39166baf

Observation d2dce381-ce03-4da4-91f3-1dc10f33a6c7 · inbound

Large Language Models are Zero-Shot Reasoners cites this paper.

Large Language Models are Zero-Shot Reasoners Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T19:04:13.815009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T19:04:13.778347Z digest=sha256:0610a75edbdb896f361c7558658fba97f882209b0670b3c5e956ca52c7fd8290

Observation 01395144-778f-46c9-9ae2-d1de8bd62fc1 · inbound

Teaching Models to Express Their Uncertainty in Words cites this paper.

Teaching Models to Express Their Uncertainty in Words Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-16T17:36:08.622476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T17:36:08.566658Z digest=sha256:f127b8fd17df00b68fc3a51e26c5354ea63fe34eda01ef122d0075de6001787b

Observation 4552b4a3-0100-409c-bc74-547a8e3c7268 · inbound

Emergent Abilities of Large Language Models cites this paper.

Emergent Abilities of Large Language Models Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

Reference 73

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T07:38:38.169908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T07:38:37.734402Z digest=sha256:2591ecde8cc47c4348ce84c7231d50e2763c6b003f6c8c01ef8a605e2f222bb6

Observation d95417bc-6654-4ef0-aa7a-be48b206fd56 · inbound

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT cites this paper.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T07:09:16.883008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T07:09:16.823590Z digest=sha256:0713148ec90fcec6279e0890b0e7e1faead923d9a45f891aaefbc2bc43458217

Observation eaf88385-3cab-43de-a3de-81aef78ada7b · inbound

Instruct or Interact? Exploring and Eliciting LLMs' Capability in Code Snippet Adaptation Through Prompt Engineering cites this paper.

Instruct or Interact? Exploring and Eliciting LLMs' Capability in Code Snippet Adaptation Through Prompt Engineering Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T14:18:30.862106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:18:30.862106Z digest=sha256:e01f9c73e9100e0e6d40031481cdf3508451f0ef93fc4ee074f313f7bfc19722

Observation 1b228f16-2fb3-469b-bde0-dafafb800d6d · inbound

A Comprehensive Guide to Explainable AI: From Classical Models to LLMs cites this paper.

A Comprehensive Guide to Explainable AI: From Classical Models to LLMs Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

Reference 120

Resolution
unresolved
no resolver link, observed 2026-08-12T05:01:31.946075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:01:31.946075Z digest=sha256:aa8a6f6ef4f5dfa90de73aff8360b6620eb927e689540bfe332428520d95de29

Observation 6a3f8141-0ebc-438c-930d-40f7f55885ab · inbound

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models cites this paper.

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

Reference 163

Resolution
unresolved
no resolver link, observed 2026-08-11T22:57:01.948348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:57:01.948348Z digest=sha256:90463a430932183f6f67dd3ffa0db31d0c79df54478e44bb3c4e1e2c4d0b7584

Observation 11818df1-2803-472d-9416-6e30171c5f7b · inbound

Fearful Falcons and Angry Llamas: Emotion Category Annotations of Arguments by Humans and LLMs cites this paper.

Fearful Falcons and Angry Llamas: Emotion Category Annotations of Arguments by Humans and LLMs Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T10:58:17.859418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T10:58:17.859418Z digest=sha256:c85e84e2f98011ec18169eabcbb1dbddd108225fe36f1a6535f7da31716355bb

Observation 257a541f-d7ba-4817-b4ca-77036acd9c81 · inbound

FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems cites this paper.

FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-09T10:29:00.895188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:29:00.895188Z digest=sha256:3d2011d002ee77d959880990d38aeab937d16154c870fa06d3485a993b12e762

Observation 4b8a216b-4b23-45fa-8036-bfae525e9a3f · inbound

Large Language Models as Autonomous Spacecraft Operators in Kerbal Space Program cites this paper.

Large Language Models as Autonomous Spacecraft Operators in Kerbal Space Program Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:01.964140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:01.964140Z digest=sha256:a4d09596d0ef3a1c6401558a40a723f7b3bd7f7f9ca11bd2b9b2a409272b80e2

Observation 37c2df4a-4cef-46ba-a93b-6b7e12d265fb · inbound

A Mathematical Theory of Discursive Networks cites this paper.

A Mathematical Theory of Discursive Networks Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T19:08:22.744826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:08:22.744826Z digest=sha256:ff39c232a810820867f0c7da55a5f121ba3722a20667e1bd27d7b5d7fc3e34f1

Observation 996f9512-b58b-4bab-ba0b-fcf4698fd1ca · inbound

Empirical Prompt Engineering for Construct Identification with Large Language Models cites this paper.

Empirical Prompt Engineering for Construct Identification with Large Language Models Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-03T18:45:13.129156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:45:13.129156Z digest=sha256:85fc04e9f2d137b3fba03d109f5b4e6b02bd4595a1b58a1e6868c0dea6d04c4f

Observation 2aa04204-89b8-45b5-90ea-821851fead45 · inbound

Sustainable Code Generation Using Large Language Models: A Systematic Literature Review cites this paper.

Sustainable Code Generation Using Large Language Models: A Systematic Literature Review Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

Reference 44

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T18:50:16.577174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T18:49:01.097179Z digest=sha256:c3bcecfd7f85a4e1d927d6fd4c8d6b4803c55a18ce9280e8c1cb98b12a968b40

Observation b293a294-f7d8-4351-b9ae-ab8f198b5f84 · inbound

Augment Engineering: A Methodology for Multi-Tool AI Orchestration Across Professional Domains cites this paper.

Augment Engineering: A Methodology for Multi-Tool AI Orchestration Across Professional Domains Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-30T14:34:45.649229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T14:28:23.013420Z digest=sha256:5a9c8ca58e332686839c42677cb25c51288a0aa60427e71493ee8bccfba10cea

Observation 289efbb9-dbb5-441e-a132-1dafab47d2bb · inbound

Mechanistic Personality Analysis of LLMs Steering Personality via Latent Feature Interventions cites this paper.

Mechanistic Personality Analysis of LLMs Steering Personality via Latent Feature Interventions Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T12:54:40.591479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T09:45:20.248396Z digest=sha256:62e5fa46bc5026991d26e6f32a4d5335b89307044cca801abc7c7a15d6c9eabf

Observation baeaed9c-1390-4adf-88e7-2f0976104001 · inbound

Agentic Synthesis against Counterexample-Supplemented Sketches cites this paper.

Agentic Synthesis against Counterexample-Supplemented Sketches Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T22:13:52.322279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:13:52.322279Z digest=sha256:1f19306637b76848ce9bde4bee21285bdc2ff686631e8bef3230c37abcbab035

Observation 125c0fab-9e05-42cf-aebb-faed5416f2b2 · inbound

Agentic Synthesis against Counterexample-Supplemented Sketches cites this paper.

Agentic Synthesis against Counterexample-Supplemented Sketches Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T04:18:28.694004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T04:18:28.694004Z digest=sha256:ef8f9113b09d38a97d279018c6bc20010871f05222d0199f6abf22ee73646492

Observation 3bce8850-322c-429c-b60d-ba38e6d4932c · inbound

Large-Scale ChatBot Validation Through Customer Digital Twin Simulations cites this paper.

Large-Scale ChatBot Validation Through Customer Digital Twin Simulations Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T13:55:31.985888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:55:31.985888Z digest=sha256:e2d80ce2db8c3cf5b3ee8658e6c067104d0aea5d60f7e4780c32fdc8e2fd7376

Observation a8dd2cce-6931-461c-8a9e-0333a1a2f475 · inbound

Large-Scale ChatBot Validation Through Customer Digital Twin Simulations cites this paper.

Large-Scale ChatBot Validation Through Customer Digital Twin Simulations Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-02T13:55:31.902296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:55:31.902296Z digest=sha256:3832c6e5e360c2f3ea37433f615185c78507f899c0d40bd842060bec2a7e21d4