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Paper Citation Record · LEDGER

Seeing Seeds Beyond Weeds: Green Teaming Generative AI for Beneficial Uses

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.03097.

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

pith.paper-citation-record.v1
2306.03097 v1

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:13:04.032739Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 9765cd3b-ca29-4b0b-8c55-9a5c99e9e018 · inbound

Guardians and Offenders: A Survey on Harmful Content Generation and Safety Mitigation of LLM cites this paper.

Guardians and Offenders: A Survey on Harmful Content Generation and Safety Mitigation of LLM Seeing Seeds Beyond Weeds: Green Teaming Generative AI for Beneficial Uses

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-05T23:13:04.032739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:13:04.032739Z digest=sha256:31969f1c037abdb36aad51b4d9c7be9e693e2887afb39ac5d04fe80e6488a692

Observation fa5da1c8-ef01-4e8b-836c-9e0e754d5c14 · inbound

CoT-X: An Adaptive Framework for Cross-Model Chain-of-Thought Transfer and Optimization cites this paper.

CoT-X: An Adaptive Framework for Cross-Model Chain-of-Thought Transfer and Optimization Seeing Seeds Beyond Weeds: Green Teaming Generative AI for Beneficial Uses

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T23:30:20.040699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:30:20.040699Z digest=sha256:4070d7397325739ad7431b65bf05cd7127645dbc2f1324fe7a0207f505a9f420