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Paper Citation Record · LEDGER

MaCTG: Multi-Agent Collaborative Thought Graph for Automatic Programming

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.19245.

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

pith.paper-citation-record.v1
2410.19245 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:43:23.583804Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T14:01:07.057742Z

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 a6cc830d-e36c-4b62-80b4-b3ec5c790715 · inbound

Creativity in LLM-based Multi-Agent Systems: A Survey cites this paper.

Creativity in LLM-based Multi-Agent Systems: A Survey MaCTG: Multi-Agent Collaborative Thought Graph for Automatic Programming

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:23.583804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:43:23.583804Z digest=sha256:ab64b72c1d04b78cb0edc1ed1c87a654a2af91a5db70e2550d54a069222a446a

Observation 41a17b6e-8176-48ea-a826-edc845bdeff2 · inbound

Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization cites this paper.

Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization MaCTG: Multi-Agent Collaborative Thought Graph for Automatic Programming

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:01:07.064100Z

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=2026-05-09T23:42:00.548132Z digest=sha256:ee57bc1922987351d1695a479d855742159a0122997c915b0d78b35edb500289