Pith. sign in

Paper Citation Record · LEDGER

Discovering Preference Optimization Algorithms with and for Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.08414.

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

pith.paper-citation-record.v1
2406.08414 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:48:48.754244Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T11:24:08.683311Z

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 315307f8-2a52-4ac1-852f-630068906003 · inbound

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery cites this paper.

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery Discovering Preference Optimization Algorithms with and for Large Language Models

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:42:31.886607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-11T04:42:31.555355Z digest=sha256:31fcd21aba4f4292716302d581e938be69235972f4080b3e1961599280c03674

Observation 8bc7aea1-67f3-444c-9e03-56b778eac5dc · inbound

Automated Design of Agentic Systems cites this paper.

Automated Design of Agentic Systems Discovering Preference Optimization Algorithms with and for Large Language Models

Reference 177

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:07:54.765503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T08:07:54.611771Z digest=sha256:f76829a9b5d8598c5537b3c3e9cd443e568e6a06d3b78a84358001a7074f88dc

Observation 4d9a5bb5-e31a-4381-89b2-6e54d990ab38 · inbound

How Should We Meta-Learn Reinforcement Learning Algorithms? cites this paper.

How Should We Meta-Learn Reinforcement Learning Algorithms? Discovering Preference Optimization Algorithms with and for Large Language Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T14:48:48.754244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:48:48.754244Z digest=sha256:a4575608aa07537c2b5208f0ed9a17d13c15b895feed6ae630122bb5ec6e8501

Observation 1c8a7d4c-4ae7-471a-b259-8c74cef00c56 · inbound

SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation cites this paper.

SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation Discovering Preference Optimization Algorithms with and for Large Language Models

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-21T11:24:08.684877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T11:21:30.867480Z digest=sha256:6ea244cd718f4b0cf13b22a86668cddf2cf8b6c0c7d9f995ceb929f59ee11faf