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Paper Citation Record · LEDGER

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

As of 3 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 60 inbound Pith citation observations for arXiv:2406.06608.

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

pith.paper-citation-record.v1
2406.06608 v6

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T02:16:17.875268Z

measured 87 of 87 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 60 of 60 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:06:08.386025Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T08:05:16.230513Z

Reference resolution

27 of 27 outbound references displayed

  • verified exact8
  • verified fuzzy5
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch13

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d0fe2e09-575a-4eed-96a8-67cfecb59668 · outbound

This paper cites Many-Shot In-Context Learning.

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques Many-Shot In-Context Learning

Reference 1

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metadata mismatch
arxiv_id, observed 2026-05-15T02:16:17.900786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:0ed2d309a8782f5ff926459ddc867335a89fe93d8cecab10e5a2a22d10b6717b

Observation 3ad63a0b-af0f-4fa1-bf3d-8c221ffce34d · outbound

This paper cites Muhammad Awais, Muzammal Naseer, Salman Khan, Rao Muhammad Anwer, Hisham Cholakkal, Mubarak Shah, Ming-Hsuan Yang, and Fahad Shah- baz Khan.

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques Muhammad Awais, Muzammal Naseer, Salman Khan, Rao Muhammad Anwer, Hisham Cholakkal, Mubarak Shah, Ming-Hsuan Yang, and Fahad Shah- baz Khan

Reference 2

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verified fuzzy
raw_fallback, observed 2026-05-15T02:16:17.974852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:2e328cfe7ce30a22b72817853986c6a912713732e1d7c7ef6d0b9c3cc9eb5613

Observation a564f927-ac48-412f-8a2d-d701639dead4 · outbound

This paper cites In Proceedings of the 17th Conference of the European Chapter of the As- sociation for Computational Linguistics, pages 2455– 2467, Dubrovnik, Croatia.

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques In Proceedings of the 17th Conference of the European Chapter of the As- sociation for Computational Linguistics, pages 2455– 2467, Dubrovnik, Croatia

Reference 3

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verified fuzzy
raw_fallback, observed 2026-05-15T02:16:17.977954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:017fe2c9ded58c50a48a978a48d4fbc1ad74afe7c1f4c8e1046998733e1b325c

Observation e4c3d786-4a8c-47c1-9f39-28178d522272 · outbound

This paper cites In-Context Learning with Long-Context Models: An In-Depth Exploration.

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 4

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verified exact
arxiv_id, observed 2026-05-15T02:16:17.927285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:7af8ad3adda8a8a1145a09720c5d1505a72df3bf03135dff7916eca5c3dc3dd2

Observation 85362113-eb67-4834-9ac2-3cf20345daba · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 5

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metadata mismatch
local_arxiv, observed 2026-05-15T02:16:17.931028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:fdc4b17a2e1dfab5ee548ee8515d9b4b1a426d5791bf6ed2a4ea93ecd3a5a6ce

Observation aafb8149-f17e-4998-b271-d6c792359122 · outbound

This paper cites How is ChatGPT's behavior changing over time?.

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques How is ChatGPT's behavior changing over time?

Reference 6

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metadata mismatch
arxiv_id, observed 2026-05-15T02:16:17.935405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:b4a94541ade8e756208de5fdb7f9a254eb35bf6bd0db0fc876b65ac1bd26923a

Observation b3a96589-2170-49da-a97b-5669d42a0402 · outbound

This paper cites GPTScore: Evaluate as You Desire.

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques GPTScore: Evaluate as You Desire

Reference 7

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metadata mismatch
arxiv_id, observed 2026-05-17T17:11:54.379140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:74985a22dfa561d83b8944154d19bbe632ddd956435230b2ceac832ca8e590bc

Observation 7b97c522-d028-4631-982f-2a387ed33b8e · outbound

This paper cites SocREval: Large Language Models with the Socratic Method for Reference-Free Reasoning Evaluation.

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques SocREval: Large Language Models with the Socratic Method for Reference-Free Reasoning Evaluation

Reference 8

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verified exact
arxiv_id, observed 2026-05-15T02:16:17.942571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:f7ddf1b7669c0b3eab0b7fb037dfbc45dc05bd2e5a17af4e71369816291579ae

Observation b395d7d1-40bd-42f6-a663-405cbea4383f · outbound

This paper cites How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation.

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation

Reference 9

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verified exact
arxiv_id, observed 2026-05-15T02:16:17.946339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:1a6009a4d0bac6621e7ee440c034dc996ec26732e8482f69d1c55f6710e92b8f

Observation dc3d9717-e932-4146-b1ee-5fb547165993 · outbound

This paper cites DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Reference 10

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local_arxiv, observed 2026-05-15T02:16:17.949400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:bf58ab08751f80913afd311feda0a0848995eaa210bcd1b6602e079bb73293fb

Observation 11978c6e-1156-4b8b-b2b4-f57c1fee1c82 · outbound

This paper cites Large Language Models in Introductory Programming Education: ChatGPT's Performance and Implications for Assessments.

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques Large Language Models in Introductory Programming Education: ChatGPT's Performance and Implications for Assessments

Reference 11

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verified exact
arxiv_id, observed 2026-05-15T02:16:17.952797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:6a6a4483fe8d1abe508005bd10b6e76d5ac811d51a0211fc21bc9561bdb4c06f

Observation d9894561-113d-4249-8f49-2e4a78c19147 · outbound

This paper cites PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations.

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations

Reference 12

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metadata mismatch
arxiv_id, observed 2026-05-15T02:16:17.956202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:ad28f6c12262ea70f1d0f203350280fb0bd7ef64f7714463dcce7b5033b8b758

Observation 4ef38040-ddcb-4866-8b9f-7509d29866da · outbound

This paper cites LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models.

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Reference 13

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metadata mismatch
arxiv_id, observed 2026-05-15T02:16:17.959486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:bc7f2767d204352b0df37287becf1230e78c750f2c24d5a716cf4c8ba6a8ae70

Observation 5251021b-05cb-437b-a0e6-39a4c804878d · outbound

This paper cites Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models.

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models

Reference 14

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metadata mismatch
arxiv_id, observed 2026-05-15T02:16:17.962647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:0351f9a5053c8f8fa0aaab1931f6261dfc7d0fb80b6bc8c28a0ebb864d9949ed

Observation c63bf9ee-1f44-4dc6-911d-3bbf1134430e · outbound

This paper cites ChatGPT as a Factual Inconsistency Evaluator for Text Summarization.

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques ChatGPT as a Factual Inconsistency Evaluator for Text Summarization

Reference 15

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metadata mismatch
arxiv_id, observed 2026-05-15T02:16:17.966023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:27a2689ccd7e4c317e472fa9afae1c8bf83d216ac01cbcfe3036aa00a246a2b5

Observation 2ddf5dd7-e67e-4d06-8b39-a4efa82ddb97 · outbound

This paper cites AmbigQA: Answering Ambiguous Open-domain Questions.

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques AmbigQA: Answering Ambiguous Open-domain Questions

Reference 16

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verified exact
arxiv_id, observed 2026-05-15T02:16:17.969056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:bcc0b86f2c80fac9b7ee9be94688802506900bd02aff130d387f57ca35609bae

Observation 34c5cfb2-c43d-4869-ab24-6fa07f17b6b2 · outbound

This paper cites an unresolved cited work.

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques Unresolved cited work

Reference 17

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raw_fallback, observed 2026-05-15T02:16:17.982465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:f6fee6339065b2ceab1999a5680cc7a78c3e43414aa8f77be38cfc489a97bb9c

Observation ab15cf06-7b47-4948-9bf2-86c41ecfe828 · outbound

This paper cites In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Tech- nologies.

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Tech- nologies

Reference 18

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raw_fallback, observed 2026-05-15T02:16:17.984969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:073da3e760dc2252eba21f9ca476e3fdc17a7b9805527711b237405d3bc06f91

Observation c3bc646a-07e5-4a0d-8804-7f36d5c3defb · outbound

This paper cites It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners.

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners

Reference 19

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metadata mismatch
arxiv_id, observed 2026-05-15T02:16:17.972020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:9aed2a6498d17b29cbc3b2935cc3d0f9cc5ef12ede9b507af6a8a956cc58c355

Observation 11270c59-8609-4c06-86b4-3fee55ede431 · outbound

This paper cites Large Language Models Help Humans Verify Truthfulness -- Except When They Are Convincingly Wrong.

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques Large Language Models Help Humans Verify Truthfulness -- Except When They Are Convincingly Wrong

Reference 20

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arxiv_id, observed 2026-05-15T02:16:17.904569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:62c72a22ade3dc64ab0f87646d0b6ae26625c1c29e4d905c82241e378ca91d49

Observation 89a89b3e-31cc-445e-a117-959f010bac1b · outbound

This paper cites In Proceed- ings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Pa- pers), pages 819–862, Dublin, Ireland.

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques In Proceed- ings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Pa- pers), pages 819–862, Dublin, Ireland

Reference 21

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raw_fallback, observed 2026-05-15T02:16:17.987631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:9e55134b57199a448d21bcc9e3993ad6c616754fbdd0b37ff1de830e1c888446

Observation 33807f7e-da2f-4f82-850b-e700924175a7 · outbound

This paper cites Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks.

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks

Reference 22

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verified exact
arxiv_id, observed 2026-05-15T02:16:17.908839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:7b5f5394501d99655d943528ea29236bf898e70b92f925a77c0f2526458b33d2

Observation e60c3c47-f448-48d0-981e-a48ae3720a5a · outbound

This paper cites Mind Your Format: Towards Consistent Evaluation of In-Context Learning Improvements.

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques Mind Your Format: Towards Consistent Evaluation of In-Context Learning Improvements

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:16:17.912459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:9c33cff550edd20c11ca59cc013941cb1daf211eb032386f94ccfc6945ee700c

Observation 16a6dd50-1577-4b16-8e84-d866482674ec · outbound

This paper cites Large Language Models are Diverse Role-Players for Summarization Evaluation.

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques Large Language Models are Diverse Role-Players for Summarization Evaluation

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T02:16:17.916365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:2c4ca1b3bd6650b472fe392ae850d40b78e87b1ab62a0dfea6f8a8bf0b224136

Observation e8f78dd3-6128-4075-8ded-7d63ebcc4fd9 · outbound

This paper cites Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs.

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs

Reference 25

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metadata mismatch
local_arxiv, observed 2026-05-15T02:16:17.919947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:304537cc348f174fe00d6bc60a64810fbd551ae7306dc2b8f681c2db36fc11e7

Observation 777484ec-fdb6-4d5d-9616-dd8601dc14aa · outbound

This paper cites The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision).

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-15T23:26:07.065720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:cd01d0e6924485675cc19e52b7d7288bfddb690ef910d876189d6fa83b8d7311

Observation 88d33239-deb6-4572-9956-b17568cf22a9 · outbound

This paper cites slots to fill.

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques slots to fill

Reference 27

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verified fuzzy
raw_fallback, observed 2026-05-15T02:16:17.980283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T02:16:17.875268Z digest=sha256:cef7720ca8110e1661628753b171c48e03b04da5b1560160ce7f584ae789c334

Pith citing papers

Observation 8ed8fdbc-2b7a-4fc7-8ae4-0be91db9ef71 · inbound

Automated Design of Agentic Systems cites this paper.

Automated Design of Agentic Systems The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 206

Resolution
verified exact
local_arxiv, observed 2026-05-15T08:07:55.009795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-15T08:07:54.611771Z digest=sha256:7a72a032c48b938d926878e379625ac44e8f9ac6f62631f6d54f89db34a71987

Observation 6c641b21-b930-4fec-9bc4-99d4f0a03be0 · inbound

PromptGuard: Soft Prompt-Guided Unsafe Content Moderation for Text-to-Image Models cites this paper.

PromptGuard: Soft Prompt-Guided Unsafe Content Moderation for Text-to-Image Models The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 29

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verified exact
local_arxiv, observed 2026-05-23T05:52:37.738880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-23T05:47:38.650729Z digest=sha256:1dabc601a1d3293d2cdaafb8ecc914cb4215ea9e9f0685a7d4a51b25752efb65

Observation 663e6079-46e1-4cf4-a9d3-509e22f23d0d · inbound

PRIMETIME : Limits of LLMs in Temporal Primitives cites this paper.

PRIMETIME : Limits of LLMs in Temporal Primitives The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 81

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metadata mismatch
local_arxiv, observed 2026-05-22T18:36:59.152632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-22T18:36:48.376877Z digest=sha256:95d28112ff99729b76125257501d9ff36c70c4454e8b034a35368b8964c56417

Observation 9fd88036-b7f7-40bb-8a47-5be5b80c31c2 · inbound

Teaching Astronomy with Large Language Models cites this paper.

Teaching Astronomy with Large Language Models The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 51

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T10:17:15.189278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-19T10:14:51.134936Z digest=sha256:8f7517e7d2d797b51ed3593ddbb90edcd3ae3ff828e136f55228e28e17409eb1

Observation ce1d901c-8a4b-413d-a558-be61d0f69b1a · inbound

PromptCOS: Towards Content-only System Prompt Copyright Auditing for LLMs cites this paper.

PromptCOS: Towards Content-only System Prompt Copyright Auditing for LLMs The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-05-25T08:00:29.520718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T08:00:04.738274Z digest=sha256:204648ce11bdae5b1210d8bae9cdb91dfac1e70d42bb4f0d34e7c8364b968d0b

Observation f6f87cf2-6f2c-46e8-a8c0-e66c217ef6c6 · inbound

MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025) cites this paper.

MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025) The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 45

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verified exact
local_arxiv, observed 2026-05-18T17:42:46.414468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-18T17:42:34.395450Z digest=sha256:eab946a186bd18b996af58b7dcbdc8fbea3b92445ab9d865a7ae3a72c8b66a08

Observation 05d0c827-2640-415c-9ada-5a959d910105 · inbound

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences cites this paper.

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 107

Resolution
verified exact
local_arxiv, observed 2026-05-18T16:41:38.078041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T16:39:03.794436Z digest=sha256:eb43cad1f6b9e1155dc66bd1bdc0d69b189b0de3b0c672744eee13878206c834

Observation 9ff5ba57-ebc1-4bc4-949c-e551973df4ff · inbound

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences cites this paper.

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 108

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T16:41:37.563449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T16:39:03.794436Z digest=sha256:d940560668f333cfa77e8bb918b1cd7494140c8ee6720d6e125e5e1101a65b5c

Observation 08ea9274-29a2-45f5-a344-a78f9bfafd0e · inbound

The PIMMUR Principles: Ensuring Validity in Collective Behavior of LLM Societies cites this paper.

The PIMMUR Principles: Ensuring Validity in Collective Behavior of LLM Societies The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-05-18T14:31:29.411592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T14:31:11.974395Z digest=sha256:42827bf35c4b2cb9dca9db359f58e292c77a383e7e6dea1bcac93b14917ffdc3

Observation 3cd12435-e257-4b27-b6ed-50a4d0bfb6d4 · inbound

LLM Prompt Duel Optimizer: Efficient Label-Free Prompt Optimization cites this paper.

LLM Prompt Duel Optimizer: Efficient Label-Free Prompt Optimization The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T07:02:26.596227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T07:01:43.510924Z digest=sha256:3fff24cfef3c56cb3c2c60fada0a77a85a6aa9be238e9a82252fd9b285be51a3

Observation 8b424523-e382-40e2-ae45-9f6209581f60 · inbound

Towards Unveiling Vulnerabilities of Large Reasoning Models in Machine Unlearning cites this paper.

Towards Unveiling Vulnerabilities of Large Reasoning Models in Machine Unlearning The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-13T10:29:10.145330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T10:29:10.145330Z digest=sha256:8b0d1c187f6c445f60887a0cbaa1ad7a180947ad9235e0765ac0ed6904911dd4

Observation 552804a5-7cb1-4147-9b69-ed40e6c6420d · inbound

Can Vision Language Models Judge Action Quality? An Empirical Evaluation cites this paper.

Can Vision Language Models Judge Action Quality? An Empirical Evaluation The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:16:17.988307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-10T18:33:57.101518Z digest=sha256:4202eaa5f547a1fdba5d339c3a11a84160396cd160b62cb81d3ab277a7c6bd95

Observation 39ba88a3-4a87-424d-8e8f-4c91038c56a1 · inbound

Confidence Without Competence in AI-Assisted Knowledge Work cites this paper.

Confidence Without Competence in AI-Assisted Knowledge Work The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 61

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T02:16:17.988307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-10T17:02:54.050021Z digest=sha256:7c226bb06c0606d118f3702a8ff9ddac346faf6377a77de00727074bef278146

Observation 3ecad93e-2d67-43d0-8417-ad2fa25087f3 · inbound

Agent Mentor: Framing Agent Knowledge through Semantic Trajectory Analysis cites this paper.

Agent Mentor: Framing Agent Knowledge through Semantic Trajectory Analysis The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:16:17.988307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-10T15:41:42.462838Z digest=sha256:d38b0b4f92b4bc4145d8a1cc9c840260be63c3ca12c77745dcfe364e4ff78642

Observation ac888a45-d334-4fc3-98fd-4ebc89e5f31e · inbound

LLMs for Qualitative Data Analysis Fail on Security-specificComments in Human Experiments cites this paper.

LLMs for Qualitative Data Analysis Fail on Security-specificComments in Human Experiments The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T02:16:17.988307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-10T15:10:06.042478Z digest=sha256:f40e26ee2d8c9160d1bebdaadae9544c3186aeabf54af93d3e8bab85cadf215b

Observation de81f589-dd5d-4308-88c3-58796db9e49e · inbound

The PICCO Framework for Large Language Model Prompting: A Taxonomy and Reference Architecture for Prompt Structure cites this paper.

The PICCO Framework for Large Language Model Prompting: A Taxonomy and Reference Architecture for Prompt Structure The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:16:17.988307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-13T20:00:19.061076Z digest=sha256:902386d563c9958957a6974f6ac4b0904fdbb3a0d362b7f369db5615f1db32b1

Observation 3f97c884-43a1-486e-8054-846024ef8df5 · inbound

From Craft to Kernel: A Governance-First Execution Architecture and Semantic ISA for Agentic Computers cites this paper.

From Craft to Kernel: A Governance-First Execution Architecture and Semantic ISA for Agentic Computers The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T02:16:17.988307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-10T04:51:51.568400Z digest=sha256:07a4771c0d0fa234d36814ab5e9842965a1a013bb0be0c0489ef1d33b7ce9f4a

Observation b8ac662a-1322-4c5d-a34d-282b89eeaf05 · inbound

From Craft to Kernel: A Governance-First Execution Architecture and Semantic ISA for Agentic Computers cites this paper.

From Craft to Kernel: A Governance-First Execution Architecture and Semantic ISA for Agentic Computers The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T01:19:20.961631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-21T01:14:48.342176Z digest=sha256:66269b2137acd3875c1a10ffa39c2be03c0c5b2d458cd07881da76de3a20fc04

Observation 63773bc4-e0e7-4a75-a5fd-ddb5b6fc8e83 · inbound

OOPrompt: Reifying Intents into Structured Artifacts for Modular and Iterative Prompting cites this paper.

OOPrompt: Reifying Intents into Structured Artifacts for Modular and Iterative Prompting The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 39

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T02:16:17.988307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-10T02:29:16.582341Z digest=sha256:f1fccaccb0a095cf76f16c5cb8fcc015cedbff4db3dabc640669264fc24635f9

Observation 87d8008e-63db-4c64-a37a-dfa117a400c1 · inbound

Self-Describing Structured Data with Dual-Layer Guidance: A Lightweight Alternative to RAG for Precision Retrieval in Large-Scale LLM Knowledge Navigation cites this paper.

Self-Describing Structured Data with Dual-Layer Guidance: A Lightweight Alternative to RAG for Precision Retrieval in Large-Scale LLM Knowledge Navigation The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:16:17.988307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T22:40:27.457107Z digest=sha256:f5936421848b5b0ae5734d32fa9f602a58b5a8e1babf44690783c219563bbf08

Observation fca6d018-270b-4cba-aec8-1bcea904306c · inbound

A Reproducibility Study of Metacognitive Retrieval-Augmented Generation cites this paper.

A Reproducibility Study of Metacognitive Retrieval-Augmented Generation The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T02:16:17.988307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-10T01:21:03.395708Z digest=sha256:31bbe9ed2c8dc29d76d95775e5db6fecb7ebe3a841663d79b5edcfd962be877c

Observation 3d8bdec6-07f5-432b-9f52-495c63824fb6 · inbound

Hint-Writing with Deferred AI Assistance: Fostering Critical Engagement in Data Science Education cites this paper.

Hint-Writing with Deferred AI Assistance: Fostering Critical Engagement in Data Science Education The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:16:17.988307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-10T01:17:45.434410Z digest=sha256:1c32985524d8ed12fe09d4848d062ed7791ea413a304a49401b2bb29d5c0813e

Observation 7b818378-5714-4d95-95d5-04fffb42b0ae · inbound

Alignment has a Fantasia Problem cites this paper.

Alignment has a Fantasia Problem The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 51

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T02:16:17.988307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-09T21:37:54.545865Z digest=sha256:0576837bec643d21803a88a18994488e20d228d408ba7ff5e59f12edc6465b45

Observation e7a87446-8a3b-4fb7-baeb-3d702d4f335c · inbound

Looking Into the Past: Eye Movements Characterize Elements of Autobiographical Recall in Interviews with Holocaust Survivors cites this paper.

Looking Into the Past: Eye Movements Characterize Elements of Autobiographical Recall in Interviews with Holocaust Survivors The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T02:16:17.988307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:49:53.862981Z digest=sha256:bce6a83946f28925b85f8cd47cccb978a7ad2d4eec0f7595603359f6f979985c

Observation 93320ac0-5f0d-42d0-857e-b13716752785 · inbound

TADI: Tool-Augmented Drilling Intelligence via Agentic LLM Orchestration over Heterogeneous Wellsite Data cites this paper.

TADI: Tool-Augmented Drilling Intelligence via Agentic LLM Orchestration over Heterogeneous Wellsite Data The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:16:17.988307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T21:01:04.815722Z digest=sha256:d814fa6141d76a8304e5876e74106a951af91b19d81091a9f6303b3059701d3a

Observation 1a3eddae-b1c2-463d-9650-09d200506839 · inbound

CLaC at SemEval-2026 Task 6: Response Clarity Detection in Political Discourse cites this paper.

CLaC at SemEval-2026 Task 6: Response Clarity Detection in Political Discourse The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:16:17.988307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-09T16:41:21.758844Z digest=sha256:8c2e326ea20d37495c445eb647522e5762f0a054b90fafafcaf322c2a61a927a

Observation abccb5e1-fe0a-44b5-933c-f945edbe816a · inbound

U-Define: Designing User Workflows for Hard and Soft Constraints in LLM-Based Planning cites this paper.

U-Define: Designing User Workflows for Hard and Soft Constraints in LLM-Based Planning The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 102

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:16:17.988307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T18:19:55.849451Z digest=sha256:7007c2c84c076ccb4d3d2a0d5760c3920bdf8e3c3eefb5bcf80b3ff06d0914a1

Observation 072528bd-6af4-41bc-9465-30dfce5c3fbb · inbound

Characterizing Students' LLM Usage Behaviors and Their Association with Learning in Critical Thinking Tasks cites this paper.

Characterizing Students' LLM Usage Behaviors and Their Association with Learning in Critical Thinking Tasks The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:16:17.988307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T16:59:21.585988Z digest=sha256:e00ff61b9c47a5af0f9b171a6c0e6bcab7efec4955f64e05734ff5c07ed99fae

Observation bf31f98a-8eff-4033-baf1-b9119a7abb19 · inbound

Characterizing Students' LLM Usage Behaviors and Their Association with Learning in Critical Thinking Tasks cites this paper.

Characterizing Students' LLM Usage Behaviors and Their Association with Learning in Critical Thinking Tasks The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-06-30T23:45:07.844608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-30T23:42:46.093925Z digest=sha256:3f4279cad4c08fe20833e94f596d24cd4c56f4f0788785233c293b3a4d69c38f

Observation af3fff16-989e-404b-841c-df05ff8d6f16 · inbound

Prompt Engineering Strategies for LLM-based Qualitative Coding of Psychological Safety in Software Engineering Communities: A Controlled Empirical Study cites this paper.

Prompt Engineering Strategies for LLM-based Qualitative Coding of Psychological Safety in Software Engineering Communities: A Controlled Empirical Study The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:16:17.988307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-11T01:48:53.311441Z digest=sha256:782d23af5fc88b207a02276c5129ce0cccc0ef3a448834599ae356527f48d304

Observation 24c995eb-663f-46ec-b625-fc1aa38788ac · inbound

LLARS: Enabling Domain Expert & Developer Collaboration for LLM Prompting, Generation and Evaluation cites this paper.

LLARS: Enabling Domain Expert & Developer Collaboration for LLM Prompting, Generation and Evaluation The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T02:16:17.988307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-12T03:54:52.927487Z digest=sha256:d1017e48eea0a93d908c9c56d442bd80bb629567f0b9c1b1444b5a4408de72d1

Observation fdba03fe-3d6d-4cff-9dd7-4d3c48b47344 · inbound

User Reviews as a Source for Usability Requirements: A Precursor Study on Using Large Language Models cites this paper.

User Reviews as a Source for Usability Requirements: A Precursor Study on Using Large Language Models The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T02:16:17.988307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T20:24:27.143123Z digest=sha256:54af2ed8331cb25bebeec8aa4eb249d0fd1ecb7c4c7517bc41e0bdd5c5694d33

Observation 39016120-146d-4124-b252-106ab70d1ad1 · inbound

Efficient Multi-objective Prompt Optimization via Pure-exploration Bandits cites this paper.

Efficient Multi-objective Prompt Optimization via Pure-exploration Bandits The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:16:17.988307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T01:50:21.013336Z digest=sha256:7ff7c3244754359a0cab42a311d75314990a7158e871a5de7efac65435c97b7c

Observation 954865be-3806-4a63-ada7-1dfbef5324e9 · inbound

From Text to Voice: A Reproducible and Verifiable Framework for Evaluating Tool Calling LLM Agents cites this paper.

From Text to Voice: A Reproducible and Verifiable Framework for Evaluating Tool Calling LLM Agents The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 19

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T08:49:53.764490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-21T08:45:56.550821Z digest=sha256:1add038c15f515a8ce777e493ea3c5cd57e40f5d07ac3fe1cea69b1316b973a5

Observation f74e2451-b73f-4b1c-9df5-785395061a34 · inbound

LLMs in Qualitative Research: Opportunities, Limitations, and Practical Considerations cites this paper.

LLMs in Qualitative Research: Opportunities, Limitations, and Practical Considerations The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 60

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T16:03:33.140416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T15:59:56.231210Z digest=sha256:f28dbcdec47ea6574c0e21c6135617da69df70e7aa8057cdd07dd26872d12971

Observation 64797f79-6211-48ed-a656-7038f7860437 · inbound

ClinQueryAgent: A Conversational Agent for Population Health Management cites this paper.

ClinQueryAgent: A Conversational Agent for Population Health Management The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 248

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T01:33:55.752262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-21T01:31:07.031424Z digest=sha256:a3cbb303924a7b663b9a88c7e84db7cfdbbfec64b7378f70c0ceb27b9257d0db

Observation 65f6ebea-f860-4a79-99b5-626ff037f9ee · inbound

Efficient Table QA via TableGrid Navigation and Progressive Inference Prompting cites this paper.

Efficient Table QA via TableGrid Navigation and Progressive Inference Prompting The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-21T08:14:03.205464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-21T08:13:40.115115Z digest=sha256:069ab400b25cfdee1a66a1df824d0cef4c326d7a27bac8b691e1149a1868cbb7

Observation 4a6bbc9f-5338-4ead-b0d3-81a5281407fe · inbound

AtelierEval: Agentic Evaluation of Humans & LLMs as Text-to-Image Prompters cites this paper.

AtelierEval: Agentic Evaluation of Humans & LLMs as Text-to-Image Prompters The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T05:41:07.029655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:3cacdd3a80017477af1f9b32a0d2dad4f31c4bc3cd5df47e71ac400f03ff6efd

Observation dbf096a4-cb6f-43d8-8181-c17c19194ca2 · inbound

Intent Signal Theory: A Computational Framework for Intent-State Control in Human-AI Interaction cites this paper.

Intent Signal Theory: A Computational Framework for Intent-State Control in Human-AI Interaction The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-06-29T23:54:03.288382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-29T23:52:01.256041Z digest=sha256:01edd5dea1e8a5818a676327594bef05f1c3dd59f92a2a87ea31fd04c98da7fb

Observation 65138569-2482-4ad8-9823-2a14536e78ad · inbound

Analogies between Transformer Layers and Power Method cites this paper.

Analogies between Transformer Layers and Power Method The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-06-29T23:04:01.151239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-29T22:59:25.289762Z digest=sha256:2880d799c719799d10b3ca2a1aaa5eb1f850793b21393d4405bde6bc945f9fec

Observation 3fed6a8f-93bf-4f7d-988c-abb5d0a74c90 · inbound

It's Not the Capability: Harness Sensitivity Is Non-Monotone Across LLM Agent Tiers cites this paper.

It's Not the Capability: Harness Sensitivity Is Non-Monotone Across LLM Agent Tiers The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T18:03:48.235877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-29T17:54:14.683758Z digest=sha256:264c98d1e0d0ed3b1f7be40d80a3e92c2d5dda56976d449100283d89a419af90

Observation 12e9d813-9b6c-4853-8b5f-46faa009ede4 · inbound

When Does Persona Prompting Actually Help? A Retrieval and Metric Analysis of Expert Role Injection in LLMs cites this paper.

When Does Persona Prompting Actually Help? A Retrieval and Metric Analysis of Expert Role Injection in LLMs The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T07:43:14.236372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-29T07:35:18.546331Z digest=sha256:8a778f97c285fdacf2e9e56d5125b3dadf300692632dc26060eeb4f8863fe6ac

Observation 1b45c900-6b23-423e-8e18-2c969bb0d7e8 · inbound

Self-Harness: Harnesses That Improve Themselves cites this paper.

Self-Harness: Harnesses That Improve Themselves The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 21

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T01:37:30.760450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-27T16:25:59.583722Z digest=sha256:026fb9d4f3127c3c0ac8e44a053c330b5f5742ee9c9b4e3f247e3348f43f5552

Observation 0dd43cb4-5c27-4514-89d9-bedc3a1febbf · inbound

PARSE: Provenance-Aware Retrieval Sanitization for Professional Domain LLM Agents cites this paper.

PARSE: Provenance-Aware Retrieval Sanitization for Professional Domain LLM Agents The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T11:07:08.044674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:07:08.044674Z digest=sha256:5ad4d38f0c7bb3ed70326fea79201bc826230e56341d2ff4d2afffa13e201069

Observation ba8a6eeb-b547-47f1-b5b6-2570f05e6338 · inbound

Evaluating Prompting-Based Defenses Against Domain-Camouflaged Injection Attacks cites this paper.

Evaluating Prompting-Based Defenses Against Domain-Camouflaged Injection Attacks The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-07-03T22:08:59.281364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-06-26T23:45:25.770548Z digest=sha256:f1e0c6eeb643abaabe0042dce67a058b68ca39957aaeccaba1bcfcc556c4a398

Observation 9af89e40-1ce9-4c34-a16e-fde9a1c45680 · inbound

RECOM: A Validity Discrimination Tradeoff in Automatic Metrics for Open Ended Reddit Question Answering cites this paper.

RECOM: A Validity Discrimination Tradeoff in Automatic Metrics for Open Ended Reddit Question Answering The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 43

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T00:39:16.774676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-06-26T21:06:05.031010Z digest=sha256:e4421309e1779b363c8abe0b2440ec3de1751e24201e86df3e124e417c7917b7

Observation ac062ed4-19ee-4eea-af17-44ac2d96fe95 · inbound

Comparing BERT Sentence-Pair Classification and Few-Shot LLM Prompting for Detecting Threat and Solution Framing in German Climate News cites this paper.

Comparing BERT Sentence-Pair Classification and Few-Shot LLM Prompting for Detecting Threat and Solution Framing in German Climate News The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 32

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T13:09:50.175877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-06-26T05:32:40.119608Z digest=sha256:772ba102a7f962a50e6f4facd0ece29c4e1b74eeb7fba55c86cb607278a2e734

Observation 60d99b14-e025-4eb1-9c4e-efd86f2b2f43 · inbound

A Taxonomy of Single-Turn Textual Prompt Patterns cites this paper.

A Taxonomy of Single-Turn Textual Prompt Patterns The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T20:27:21.994657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-07-02T20:19:40.801292Z digest=sha256:d1184a66acfc3ba5be34a55bca1cd4accbbed9dae6c56faa2b7b49e36ee1bab4

Observation 5edaead2-449f-42c5-b4ea-42962d7147d0 · inbound

Evidence-Supported Credit Risk Report Generation Using News-Centric Financial Knowledge Graphs cites this paper.

Evidence-Supported Credit Risk Report Generation Using News-Centric Financial Knowledge Graphs The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 19

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T12:56:56.668219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-07-02T12:47:53.174954Z digest=sha256:19740427ae759d4f4d5d86dd743b95fa9a7618f59266ff9a921f21940f94e687

Observation 8a2c3faf-4d2f-45d4-b1cb-9a16a534f479 · inbound

Prompt Coach: An Empirical Evaluation of an Agentic Tutor for Learning Prompt Engineering in Software Development cites this paper.

Prompt Coach: An Empirical Evaluation of an Agentic Tutor for Learning Prompt Engineering in Software Development The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-07-08T17:35:09.813922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-07-08T17:32:34.736637Z digest=sha256:8f9f7451cf4f1f273a3843e575850f6e9c7fec599990a47aa986210b64c4bd0b

Observation d6eec96c-9cb8-40f3-bef8-889643b67839 · inbound

Prompting Complexity: Shortest Prompts for Texts and Behaviors in LLMs cites this paper.

Prompting Complexity: Shortest Prompts for Texts and Behaviors in LLMs The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-07-08T15:35:07.213977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-07-08T15:25:51.000183Z digest=sha256:63524d7be55bcc39fadc937c47440d73c1fb4ff61d6563c1e9e096399eb682d6

Observation b3a16f10-323b-4ab0-b2e1-8b07ed4f40f2 · inbound

A Stepwise Questioning Expert-Editor Multi-Agent Framework for Long-Document Summarization cites this paper.

A Stepwise Questioning Expert-Editor Multi-Agent Framework for Long-Document Summarization The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 27

Resolution
unresolved
no resolver link, observed 2026-07-14T12:06:16.011748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T12:06:16.011748Z digest=sha256:3c6ccdab7fb0b1d1b1c3b21eee80206b12b05b4696a5a513f3014e318fee9363

Observation 1ac0563e-4fa9-4ef9-be9e-8daf2fca9e16 · inbound

PROBE: Benchmarking Code Generation in Large Language Models cites this paper.

PROBE: Benchmarking Code Generation in Large Language Models The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-02T03:41:06.532907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T03:41:06.532907Z digest=sha256:d15237130e7077126e5de32c39800188c2e538e2562b4fe95f9a0f46a518fb41

Observation eedbe079-525a-4881-b965-f6ff8c25eb39 · inbound

Automatically Evolving Prompt Guidelines for Task-Specific Optimization cites this paper.

Automatically Evolving Prompt Guidelines for Task-Specific Optimization The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-02T14:46:33.670029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:46:33.670029Z digest=sha256:64f458fe1086f345a98b7ddd8208f0b71bb496f9d905205985044e8ae06ac25c

Observation 63b7ca47-413c-4f38-8832-7e625a5e3bff · inbound

Persona-as-Configuration: Generative Stakeholder Reporting for Agricultural Floods cites this paper.

Persona-as-Configuration: Generative Stakeholder Reporting for Agricultural Floods The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-01T17:06:56.748993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:06:56.748993Z digest=sha256:a28f72adb834684488412d04c1cd56f8b85c0e02531b173ec8287bc70b2a66b5

Observation 58384f5d-216b-47eb-9751-f7dd0b105128 · inbound

From Errors to Rules: Iterative Prompt Optimization for Text Classification cites this paper.

From Errors to Rules: Iterative Prompt Optimization for Text Classification The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-02T11:09:22.034757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T11:09:22.034757Z digest=sha256:a30fc3de94b4801214e2fd83cf546c0e1fa23e61bbfe98f363f4509bb9ab5bea

Observation 0c70f807-3250-46e8-8d10-d57b03ce3d52 · inbound

Imprompt: A Language Framework for Prompt Programming cites this paper.

Imprompt: A Language Framework for Prompt Programming The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-02T07:07:43.591267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:07:43.591267Z digest=sha256:3cf7fbec7bebd39b16626c90bb8f87a64b89090711c65e39718c08c529ae2523

Observation a8f74c88-282d-4e2e-b8c2-d9d8b4aa10b5 · inbound

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing cites this paper.

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-02T08:35:38.230499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:35:38.230499Z digest=sha256:8aede1dbae8d8925df9d38607c433d83c78e6a698e275dc7ed1de3d5e9178775

Observation 74034233-16b2-4fc5-ba54-979b0e7b6e3a · inbound

What makes prompts a graph: necessary and sufficient conditions for prompt graph engineering cites this paper.

What makes prompts a graph: necessary and sufficient conditions for prompt graph engineering The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-01T05:22:42.398624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:22:42.398624Z digest=sha256:b8acf302880bf0c1427d181aa082640f542ca8f8b8063f1745446bd4ae589efd

Observation 06449b8d-a5dc-490e-8a03-23d72aea67a7 · inbound

ARB: A Matched Authorship-Rewriting Benchmark Dataset for AI-Text Detector Evaluation cites this paper.

ARB: A Matched Authorship-Rewriting Benchmark Dataset for AI-Text Detector Evaluation The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-03T05:06:08.386025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T05:06:08.386025Z digest=sha256:3f18528160227f64a711094e5f5896beeacc35ce48c8bf2c04299b52fe37a1ee