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Paper Citation Record · LEDGER

Generative Models as a Complex Systems Science: How can we make sense of large language model behavior?

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.00189.

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

pith.paper-citation-record.v1
2308.00189 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 2026-08-07T12:13:17.479369Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:25:08.928888Z

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 3acbc310-04b9-4d3a-8ac8-f5ef511f3555 · inbound

Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race cites this paper.

Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race Generative Models as a Complex Systems Science: How can we make sense of large language model behavior?

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T12:13:17.479369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:13:17.479369Z digest=sha256:54ccef4f720f89581acb90d72f606454b75cedc85cdda9449171260f7ef16681

Observation beb5f85c-abc9-4581-919f-f0dea99e62c2 · inbound

Prompting as Scientific Inquiry cites this paper.

Prompting as Scientific Inquiry Generative Models as a Complex Systems Science: How can we make sense of large language model behavior?

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:25:08.934088Z

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.

source=pdf_text observed=2026-08-06T21:25:08.510362Z digest=sha256:8f87f90310c08cea693e0dcc2a7e6bb400b77eff7d624a7a6adee0d2bf3bdd38