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Paper Citation Record · LEDGER

Nature-Inspired Population-Based Evolution of Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2503.01155.

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

pith.paper-citation-record.v1
2503.01155 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:18:16.940786Z

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

0
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 1035df42-a5ac-4642-a5a7-420b7312c0d9 · inbound

Decouple and Orthogonalize: A Data-Free Framework for LoRA Merging cites this paper.

Decouple and Orthogonalize: A Data-Free Framework for LoRA Merging Nature-Inspired Population-Based Evolution of Large Language Models

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T15:18:16.940786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:18:16.940786Z digest=sha256:95fd4bd6f4974de48193ed53383189262d175614079811313132efe334260ecc

Observation 015ce0c8-398a-4c6a-a1f1-f48f609eb62b · inbound

The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants cites this paper.

The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants Nature-Inspired Population-Based Evolution of Large Language Models

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T14:12:39.569027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:12:39.569027Z digest=sha256:0168a047d31ef623438f3d7ea3cd7b7a8396f01c67bb0bee721fc8d00f78e19c

Observation e151f6e4-f5a9-48ce-8208-125b4414a467 · inbound

Why Do More Experts Fail? A Theoretical Analysis of Model Merging cites this paper.

Why Do More Experts Fail? A Theoretical Analysis of Model Merging Nature-Inspired Population-Based Evolution of Large Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T13:44:36.640223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:44:36.640223Z digest=sha256:586492fcee8bf4a8c9e626166e323075c292c120ef4cc5bd337c330ff9c944d6

Observation a45df845-c297-43cc-8d6d-fd3512ba2f45 · 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 Nature-Inspired Population-Based Evolution of Large Language Models

Reference 184

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T22:23:14.986965Z

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=2026-05-14T22:23:14.621091Z digest=sha256:88456bc2c5f0c3c2b149647b65ed6816e42811bfa6d1bd4c30b2d485a0cd4426

Observation 4e82ceac-2234-4050-b33a-c25ae3ff537d · inbound

PopuLoRA: Co-Evolving LLM Populations for Reasoning Self-Play cites this paper.

PopuLoRA: Co-Evolving LLM Populations for Reasoning Self-Play Nature-Inspired Population-Based Evolution of Large Language Models

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:42:48.122913Z

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=2026-05-19T21:37:56.570173Z digest=sha256:59a77966868cb23dec7e3615eba463663995b2db392a16bce4cb11292259d9c8

Observation bffb55e2-d6b4-49df-b143-932027b4d12e · inbound

Model Merging to Evolution: Parameter Space Exploration for Expert Models cites this paper.

Model Merging to Evolution: Parameter Space Exploration for Expert Models Nature-Inspired Population-Based Evolution of Large Language Models

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T11:24:38.135980Z

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=2026-06-30T11:20:04.579617Z digest=sha256:9f19de57279517402b92f93ff88d4d5cf27a92feee9681c9cb04d3801e6ed6a2

Observation aa468317-b686-4a1a-90a3-c906e6457be0 · inbound

Knowledge-Centric Self-Improvement cites this paper.

Knowledge-Centric Self-Improvement Nature-Inspired Population-Based Evolution of Large Language Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-01T12:21:59.527009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:21:59.527009Z digest=sha256:78748a3e6d031939572e79b2741530eed33f86919cd4ace443c1e338c4aaaefa