Paper Citation Record · LEDGER

Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 39 inbound Pith citation observations for arXiv:2406.11695.

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

pith.paper-citation-record.v1
2406.11695 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 39 of 39 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:55:41.489587Z

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

4
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 a28ef56c-fa48-4288-bacb-cd30988bde59 · inbound

A Comparative Study of DSPy Teleprompter Algorithms for Aligning Large Language Models Evaluation Metrics to Human Evaluation cites this paper.

A Comparative Study of DSPy Teleprompter Algorithms for Aligning Large Language Models Evaluation Metrics to Human Evaluation Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T12:01:22.009758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9348ef59-3d4e-4451-9839-78bda0ce0bc7 · inbound

LLM-AutoDiff: Auto-Differentiate Any LLM Workflow cites this paper.

LLM-AutoDiff: Auto-Differentiate Any LLM Workflow Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T11:33:24.636555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07fb4be5-6b6e-4915-87ed-7552e02ba394 · inbound

Querying Databases with Function Calling cites this paper.

Querying Databases with Function Calling Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T15:25:14.752902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00dd4f4f-c7da-45ec-b445-6fd9a169abbf · inbound

From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation cites this paper.

From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-09T19:31:49.701468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f5dde57-31f6-4e41-bdf7-e4b1d6d36c36 · inbound

Meta-Prompt Optimization for LLM-Based Sequential Decision Making cites this paper.

Meta-Prompt Optimization for LLM-Based Sequential Decision Making Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T18:00:22.186149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcdd57e7-914b-4bf3-9102-149a52db2a10 · inbound

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning cites this paper.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T11:03:44.643296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5edb61b-6d55-43b2-9919-cc36a2b4482e · inbound

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks cites this paper.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T04:55:41.489587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd9d5753-46b5-47e4-af85-e369f44b74ae · inbound

EnronQA: Towards Personalized RAG over Private Documents cites this paper.

EnronQA: Towards Personalized RAG over Private Documents Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-16T04:51:30.238594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcaa0cc7-742a-4480-8725-d4d226cacc5a · inbound

Improved Representation Steering for Language Models cites this paper.

Improved Representation Steering for Language Models Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:30.997743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78a10724-4731-4b8d-80bc-c64983098631 · inbound

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy cites this paper.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T12:53:42.259489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bed5237-b67d-4a41-a8b9-a3c9fd1cd29d · inbound

Transforming Expert Knowledge into Scalable Ontology via Large Language Models cites this paper.

Transforming Expert Knowledge into Scalable Ontology via Large Language Models Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T05:21:03.090383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c76ffacd-76cd-45b6-8533-4b312a2aa0ae · inbound

Evaluating Hybrid Retrieval Augmented Generation using Dynamic Test Sets: LiveRAG Challenge cites this paper.

Evaluating Hybrid Retrieval Augmented Generation using Dynamic Test Sets: LiveRAG Challenge Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:36.330887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9671d293-2436-4a9e-a593-f982f9284599 · inbound

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy cites this paper.

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T20:09:18.293773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7795f177-c695-42ab-b793-3fe0f15abb32 · inbound

Maestro: Joint Graph & Config Optimization for Reliable AI Agents cites this paper.

Maestro: Joint Graph & Config Optimization for Reliable AI Agents Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T05:59:49.956160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fa8fa9b-2198-46e9-b6dc-f10946c524c7 · inbound

FEM-Bench: A Structured Scientific Reasoning Benchmark for Evaluating Code-Generating LLMs cites this paper.

FEM-Bench: A Structured Scientific Reasoning Benchmark for Evaluating Code-Generating LLMs Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T14:21:29.224977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1649c6f5-32f5-4919-b0b9-ce8f89cd8750 · inbound

Model Context Protocol (MCP) Tool Descriptions Are Smelly! Towards Improving AI Agent Efficiency with Augmented MCP Tool Descriptions cites this paper.

Model Context Protocol (MCP) Tool Descriptions Are Smelly! Towards Improving AI Agent Efficiency with Augmented MCP Tool Descriptions Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-02T23:04:33.688502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d44544c-24f4-4d04-b2da-e2976d096b0e · inbound

EditFlow: Benchmarking and Optimizing Code Edit Recommendation Systems via Reconstruction of Developer Flows cites this paper.

EditFlow: Benchmarking and Optimizing Code Edit Recommendation Systems via Reconstruction of Developer Flows Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:46:33.068066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 956732c3-6279-43b7-b030-b578513e2973 · inbound

MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks cites this paper.

MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T19:22:25.394087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b55ba21-b018-475a-9c95-c3a45ad72ded · inbound

DetPO: In-Context Learning with Multi-Modal LLMs for Few-Shot Object Detection cites this paper.

DetPO: In-Context Learning with Multi-Modal LLMs for Few-Shot Object Detection Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-13T19:38:38.452093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17c590fc-4768-46f5-97d0-81693233e15a · inbound

Automated Instruction Revision (AIR): A Structured Comparison of Task Adaptation Strategies for LLM cites this paper.

Automated Instruction Revision (AIR): A Structured Comparison of Task Adaptation Strategies for LLM Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T06:46:29.492893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4a070fa4-b20b-4fbe-9381-9d0cbe2e1a92 · inbound

FlowBot: Inducing LLM Workflows with Bilevel Optimization and Textual Gradients cites this paper.

FlowBot: Inducing LLM Workflows with Bilevel Optimization and Textual Gradients Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:01:24.438590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eac21947-ce6e-4326-9170-f13f1fcce05a · inbound

FlowBot: Inducing LLM Workflows with Bilevel Optimization and Textual Gradients cites this paper.

FlowBot: Inducing LLM Workflows with Bilevel Optimization and Textual Gradients Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 525

Resolution: unresolved; no resolver link, observed 2026-08-02T15:20:21.465700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed987d94-b357-4afb-a0c2-0ffa85cadeca · inbound

Learning, Fast and Slow: Towards LLMs That Adapt Continually cites this paper.

Learning, Fast and Slow: Towards LLMs That Adapt Continually Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:07:18.516637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cc8dadb1-c828-497e-b23d-c512ad547ed1 · inbound

Learning, Fast and Slow: Towards LLMs That Adapt Continually cites this paper.

Learning, Fast and Slow: Towards LLMs That Adapt Continually Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:19:45.782446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 428c4ac4-ad61-4d55-9849-92f41be5c158 · inbound

Contexting as Recommendation: Evolutionary Collaborative Filtering for Context Engineering cites this paper.

Contexting as Recommendation: Evolutionary Collaborative Filtering for Context Engineering Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:08:54.436058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bb6c8b2a-13fa-4a2c-a465-adde1a1c4bdc · inbound

optimize_anything: A Universal API for Optimizing any Text Parameter cites this paper.

optimize_anything: A Universal API for Optimizing any Text Parameter Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:43:23.258234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7e14c2bb-3823-4d4e-8e91-e714d77aea3c · inbound

LLMs Are Already Good Tutors: Training-Free Prompt Optimization for Pedagogical Math Tutoring cites this paper.

LLMs Are Already Good Tutors: Training-Free Prompt Optimization for Pedagogical Math Tutoring Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:53:47.043289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8dec919b-ec1e-47f8-810e-1f6bbfce5bd5 · inbound

Evolving and Detecting Multi-Turn Deception using Geometric Signatures cites this paper.

Evolving and Detecting Multi-Turn Deception using Geometric Signatures Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T15:23:32.665512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1b841605-6f79-435a-97a0-a98481ecacef · inbound

Trace2Policy: From Expert Behavior Traces to Self-Evolving Decision Agents cites this paper.

Trace2Policy: From Expert Behavior Traces to Self-Evolving Decision Agents Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T05:27:39.675777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a378eb4a-b571-4d0e-85fb-b96a6062095a · inbound

IUU+DB: Tracking Illegal, Unreported, and Unregulated Fishing, Seafood Fraud, and Labor Abuse through LLM-driven Information Extraction cites this paper.

IUU+DB: Tracking Illegal, Unreported, and Unregulated Fishing, Seafood Fraud, and Labor Abuse through LLM-driven Information Extraction Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-03T23:29:02.548224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3487d8fd-465d-4baa-9a8d-0053bb5e211f · inbound

IUU+DB: Tracking Illegal, Unreported, and Unregulated Fishing, Seafood Fraud, and Labor Abuse through LLM-driven Information Extraction cites this paper.

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-12T13:33:24.392944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30ce260b-e0ef-4d50-8214-feb17c8fac99 · inbound

Contrastive Reflection for Iterative Prompt Optimization cites this paper.

Contrastive Reflection for Iterative Prompt Optimization Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T12:25:44.298920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1d5d6830-e951-4b4f-b5bb-8e1d115ef81e · inbound

Do Agent Optimizers Compound? A Continual-Learning Evaluation on Terminal-Bench 2.0 cites this paper.

Do Agent Optimizers Compound? A Continual-Learning Evaluation on Terminal-Bench 2.0 Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T03:07:00.083970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e44b16c4-5643-4fb6-9db9-d02d104a17c5 · inbound

MemoHarness: Agent Harnesses That Learn from Experience cites this paper.

MemoHarness: Agent Harnesses That Learn from Experience Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-02T05:43:00.437816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9aa53652-06a7-48e8-85fe-737ab9624f90 · inbound

ThreatForest: Multi-Agent Attack Tree Generation with Pluggable TTP Framework Mapping cites this paper.

ThreatForest: Multi-Agent Attack Tree Generation with Pluggable TTP Framework Mapping Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T15:27:18.719810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 705cc7a3-8874-4d61-a8cf-bd9c34583612 · inbound

Harness-R1: Learning to Edit Executable Runtime Harnesses from Agent Failure Trajectories cites this paper.

Harness-R1: Learning to Edit Executable Runtime Harnesses from Agent Failure Trajectories Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T10:10:32.422182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f98e3fde-7cb4-46d2-8672-fe3b111368fb · inbound

FLARE: Few-shot Learning-based Adaptive Reflective Engine cites this paper.

FLARE: Few-shot Learning-based Adaptive Reflective Engine Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T14:58:05.716326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4a1719a-3cac-4952-b079-947b6add83a4 · inbound

On the missing benchmarks layer and a potential solution cites this paper.

On the missing benchmarks layer and a potential solution Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T04:17:31.840402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d166e139-46b7-47c1-858c-03dd797f72de · inbound

RLMOpt: Adaptive Prompt Optimization via Recursive Language Models cites this paper.

RLMOpt: Adaptive Prompt Optimization via Recursive Language Models Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T14:26:30.193115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.