Paper Citation Record · LEDGER

Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2310.06117.

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

pith.paper-citation-record.v1
2310.06117 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 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 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:39:04.494165Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

23
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cfbcbca7-8b06-4e0c-af4a-b42d0a5fb475 · inbound

Retrieval-Augmented Generation for Large Language Models: A Survey cites this paper.

Retrieval-Augmented Generation for Large Language Models: A Survey Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-24T05:13:57.253072Z

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.

Observation e6fe12d0-1c1f-4f56-9ec5-21e917093270 · inbound

A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications cites this paper.

A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-12T21:52:10.531385Z

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.

Observation 4dc73ae3-bcf3-471d-b530-b19577ff57f3 · inbound

Retrieval-Augmented Generation for AI-Generated Content: A Survey cites this paper.

Retrieval-Augmented Generation for AI-Generated Content: A Survey Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Reference 167

Resolution: verified exact; arxiv_id, observed 2026-05-15T13:32:17.439874Z

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.

Observation 156be518-07b4-479c-bef4-228c180b9436 · inbound

A Survey on Retrieval-Augmented Text Generation for Large Language Models cites this paper.

A Survey on Retrieval-Augmented Text Generation for Large Language Models Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Reference 171

Resolution: metadata mismatch; arxiv_id, observed 2026-05-24T02:15:55.466661Z

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.

Observation ed36927d-7a76-4306-9040-3a6f680a9518 · inbound

Automated Design of Agentic Systems cites this paper.

Automated Design of Agentic Systems Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Reference 237

Resolution: verified exact; arxiv_id, observed 2026-05-15T08:07:54.944244Z

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.

Observation c4413f70-d3ab-4320-859d-f7c35454dcfd · inbound

Trustworthiness in Retrieval-Augmented Generation Systems: A Survey cites this paper.

Trustworthiness in Retrieval-Augmented Generation Systems: A Survey Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:08:25.899442Z

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.

Observation 1cc21dba-20e9-4191-ab69-50361d04441c · inbound

Don't Just Demo, Teach Me the Principles: A Principle-Based Multi-Agent Prompting Strategy for Text Classification cites this paper.

Don't Just Demo, Teach Me the Principles: A Principle-Based Multi-Agent Prompting Strategy for Text Classification Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T13:39:04.494165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2a9b18a-12fc-485c-bec6-e54b6479fda0 · inbound

Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion cites this paper.

Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T10:38:19.369050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e167c696-0bfd-40cc-97ec-8f869892c140 · inbound

Which Prompting Technique Should I Use? An Empirical Investigation of Prompting Techniques for Software Engineering Tasks cites this paper.

Which Prompting Technique Should I Use? An Empirical Investigation of Prompting Techniques for Software Engineering Tasks Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:40.500713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36c13163-c5cd-4311-9966-32ef2a0b6fa1 · inbound

Mixture of Reasonings: Teach Large Language Models to Reason with Adaptive Strategies cites this paper.

Mixture of Reasonings: Teach Large Language Models to Reason with Adaptive Strategies Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:51.141936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe944529-0b51-4ea8-bb1c-d475a6063c62 · inbound

Prompt Engineering for Requirements Engineering: A Literature Review and Roadmap cites this paper.

Prompt Engineering for Requirements Engineering: A Literature Review and Roadmap Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T18:40:06.251852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25caec08-9223-4691-b21c-239564640108 · inbound

Orchestration for Domain-specific Edge-Cloud Language Models cites this paper.

Orchestration for Domain-specific Edge-Cloud Language Models Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:15.645433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26853f87-053a-495c-a25f-4f087ae136a3 · inbound

Vis-CoT: A Human-in-the-Loop Framework for Interactive Visualization and Intervention in LLM Chain-of-Thought Reasoning cites this paper.

Vis-CoT: A Human-in-the-Loop Framework for Interactive Visualization and Intervention in LLM Chain-of-Thought Reasoning Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T12:38:29.147743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 783d4722-f542-4da3-8f32-9cdc05625efe · inbound

PromptGuard: An Orchestrated Prompting Framework for Principled Synthetic Text Generation for Vulnerable Populations using LLMs with Enhanced Safety, Fairness, and Controllability cites this paper.

PromptGuard: An Orchestrated Prompting Framework for Principled Synthetic Text Generation for Vulnerable Populations using LLMs with Enhanced Safety, Fairness, and Controllability Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T20:04:29.311700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84742c1c-108b-4c31-a49f-3433fa917cf5 · inbound

Library Hallucinations in LLM-Generated Code: A Risk Analysis Grounded in Developer Queries cites this paper.

Library Hallucinations in LLM-Generated Code: A Risk Analysis Grounded in Developer Queries Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:34:23.740552Z

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.

Observation 098c7efe-9193-4f68-9e94-2c311ad448d7 · inbound

Living Databases: A Unified Model for Continuous Schema Evolution, Versioning, and Transformations cites this paper.

Living Databases: A Unified Model for Continuous Schema Evolution, Versioning, and Transformations Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Reference 81

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:01:15.226457Z

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.

Observation 1381e7a9-f482-4e4d-a62e-b49f3679519e · inbound

UnAC: Adaptive Visual Prompting with Abstraction and Stepwise Checking for Complex Multimodal Reasoning cites this paper.

UnAC: Adaptive Visual Prompting with Abstraction and Stepwise Checking for Complex Multimodal Reasoning Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T23:16:37.364379Z

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.

Observation bf1878ce-f032-4fd6-877d-875da77a1774 · inbound

Making Abstraction Concrete: A Design Space and Interaction Model of Abstraction in Interactive Systems cites this paper.

Making Abstraction Concrete: A Design Space and Interaction Model of Abstraction in Interactive Systems Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Reference 202

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:27:02.733322Z

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.

Observation 488369e0-efca-4e18-9dd5-b0de2f298e32 · inbound

PluRule: A Benchmark for Moderating Pluralistic Communities on Social Media cites this paper.

PluRule: A Benchmark for Moderating Pluralistic Communities on Social Media Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Reference 99

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:08:20.537094Z

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.

Observation 191bd4e4-8c78-4396-8d64-b66f09083cf6 · inbound

Efficient RAG with Intent-Aware Retrieval and Semantics-Preserving Chunking cites this paper.

Efficient RAG with Intent-Aware Retrieval and Semantics-Preserving Chunking Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T20:56:13.782755Z

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.

Observation 660a15dc-e192-499f-bfbc-0e07d097b17c · inbound

Dive into Ambiguity: A*-Inspired Multi-Agents Commonsense Obfuscation Attack on LLM Prompts cites this paper.

Dive into Ambiguity: A*-Inspired Multi-Agents Commonsense Obfuscation Attack on LLM Prompts Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:26:16.384008Z

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.

Observation 53701612-88d6-481a-a419-81a2224bf354 · inbound

MetaPS: Adaptive Programmatic Strategy Selection for Market Agents cites this paper.

MetaPS: Adaptive Programmatic Strategy Selection for Market Agents Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T08:39:42.653310Z

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.

Observation 4debd1c6-de6d-4732-8f2b-35f435005107 · inbound

Training Language Models to Cooperate with Inference-Time Controllers cites this paper.

Training Language Models to Cooperate with Inference-Time Controllers Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-30T13:09:01.372470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.