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Paper Citation Record · LEDGER

Discovering Preference Optimization Algorithms with and for Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:17:55.247433Z

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-11T04:42:31.555355Z digest=sha256:04d46154836c9176d665eb955e8b2ca15917e99fc256be686e18bd3ac02893f3

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-15T08:07:54.611771Z digest=sha256:19520273cd37f8338cf1d71b2517e5335527cd7d772dcbec013276acfd1dc246

Observation 83b5c0fd-d920-46b8-977a-349c829d2924 · inbound

Automated Capability Discovery via Foundation Model Self-Exploration cites this paper.

Automated Capability Discovery via Foundation Model Self-Exploration Discovering Preference Optimization Algorithms with and for Large Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-08T12:17:55.247433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:17:55.247433Z digest=sha256:97673eb16c2d045030a220f1031b6ef415316bf79e118e1ce3e39be7565bb58d

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=sha256:7860f549b52fe0396ff7baa869ddbc74b0d5398e7bff1db71bfefd0423158f72

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T11:21:30.867480Z digest=sha256:cf6b6d714c4528c5c7e1ede5d0ee4776ecc4f9227f053f3bc5786e1ad82b59e5