Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Prompt Optimization with Human Feedback
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2405.17346.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:30:21.687814Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T11:39:47.126608Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation c10bf89f-d525-48b5-8f5b-0b0875d8261d · inbound
Aligning LLMs by Predicting Preferences from User Writing Samples cites this paper.
Aligning LLMs by Predicting Preferences from User Writing Samples Prompt Optimization with Human Feedback
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:30:21.687814Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7feab75-c05f-44d6-ab4b-0c84ef5797b9 · inbound
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems cites this paper.
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems Prompt Optimization with Human Feedback
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T23:21:42.516204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 817e95e2-066b-46db-9f69-96c35017a432 · inbound
Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities cites this paper.
Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities Prompt Optimization with Human Feedback
Reference 95
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T19:59:17.505827Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38e76b08-d09e-4250-9d1b-ac2dad4b7d2b · inbound
T-POP: Test-Time Personalization with Online Preference Feedback cites this paper.
T-POP: Test-Time Personalization with Online Preference Feedback Prompt Optimization with Human Feedback
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T13:52:11.749286Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 97cf0a86-6e3f-4c9c-b6d1-f8a1d1443454 · inbound
Memory in the Age of AI Agents cites this paper.
Memory in the Age of AI Agents Prompt Optimization with Human Feedback
Reference 111
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T18:18:20.579829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation aad03aa5-4fb9-49d5-be28-facea8046975 · 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 Prompt Optimization with Human Feedback
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T19:22:25.382765Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ddea6f1e-5af0-4a9c-a382-43158a26c7a9 · 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 Prompt Optimization with Human Feedback
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T13:01:05.272416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 64f0cfa4-71ea-431f-b402-deea27d8aa0d · inbound
LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis cites this paper.
LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis Prompt Optimization with Human Feedback
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T13:53:50.979339Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1c40d86e-b88a-4742-8ad7-d83ceafc67c9 · inbound
Towards Spec Learning: Inference-Time Alignment from Preference Pairs cites this paper.
Towards Spec Learning: Inference-Time Alignment from Preference Pairs Prompt Optimization with Human Feedback
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T11:39:47.128804Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation eec38900-c83a-4a05-b344-9b7c2e8dcda4 · inbound
Towards Spec Learning: Inference-Time Alignment from Preference Pairs cites this paper.
Towards Spec Learning: Inference-Time Alignment from Preference Pairs Prompt Optimization with Human Feedback
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T12:04:39.417519Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.