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Paper Citation Record · LEDGER

PersLLM: A Personified Training Approach for Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2407.12393.

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

pith.paper-citation-record.v1
2407.12393 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:02:32.825281Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:02:36.454329Z

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 5d8b9f4d-d98c-409d-9d46-98c54f6b421f · inbound

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms cites this paper.

RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms PersLLM: A Personified Training Approach for Large Language Models

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:02:36.537690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:02:32.825281Z digest=sha256:f39eba7b4b4162f8b831534f0abf89158e746278e7a635d66c2bdf3c7180c8b6