Paper Citation Record · LEDGER

LADDER: Self-Improving LLMs Through Recursive Problem Decomposition

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2503.00735.

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

pith.paper-citation-record.v1
2503.00735 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:23.014357Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:49:03.001697Z

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 a274a264-6174-4a1a-8172-681ab2628e82 · inbound

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging cites this paper.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging LADDER: Self-Improving LLMs Through Recursive Problem Decomposition

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:23.014357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa8697ff-159a-4475-b88d-503ef2078db4 · inbound

A quantum semantic framework for natural language processing cites this paper.

A quantum semantic framework for natural language processing LADDER: Self-Improving LLMs Through Recursive Problem Decomposition

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T04:40:05.083322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8348d585-ee15-4ec3-a151-0052011aceeb · inbound

Knowledge Conceptualization Impacts RAG Efficacy cites this paper.

Knowledge Conceptualization Impacts RAG Efficacy LADDER: Self-Improving LLMs Through Recursive Problem Decomposition

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T18:01:20.300500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d137a9fa-8c08-4f3f-8be2-ac20e04d49bd · inbound

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence LADDER: Self-Improving LLMs Through Recursive Problem Decomposition

Reference 264

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:23:15.306803Z

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 a59514b0-5619-4ac0-80ad-4e340ed7eeaf · inbound

Detecting and Mitigating the Correct-Answer Extinction Window in Test-Time Reinforcement Learning with Majority Voting cites this paper.

Detecting and Mitigating the Correct-Answer Extinction Window in Test-Time Reinforcement Learning with Majority Voting LADDER: Self-Improving LLMs Through Recursive Problem Decomposition

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-20T07:23:06.918755Z

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 57e836a3-4673-476d-9953-216cfdca8cb7 · inbound

Be Your Own Teacher: Steering Protein Language Models via Unsupervised Reward Optimization cites this paper.

Be Your Own Teacher: Steering Protein Language Models via Unsupervised Reward Optimization LADDER: Self-Improving LLMs Through Recursive Problem Decomposition

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-07-03T23:49:03.003269Z

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.