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Paper Citation Record · LEDGER

Deterministic or probabilistic? The psychology of LLMs as random number generators

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2502.19965.

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

pith.paper-citation-record.v1
2502.19965 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T13:10:47.045131Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:09:58.741775Z

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 8c1e1480-871b-4a2b-96af-85c3257f234f · inbound

The Randomness Floor: Measuring Intrinsic Non-Randomness in Language Model Token Distributions cites this paper.

The Randomness Floor: Measuring Intrinsic Non-Randomness in Language Model Token Distributions Deterministic or probabilistic? The psychology of LLMs as random number generators

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:32:59.775592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-14T21:29:57.605345Z digest=sha256:ec7c08fb53deb18a41e558221cdc01f88cd3e6ab2d358a32c03f330cbb8e761b

Observation 14498882-4fb4-4ba8-b4d1-c8b4db168752 · inbound

FLIPS: Instance-Fingerprinting for LLMs via Pseudo-random Sequences cites this paper.

FLIPS: Instance-Fingerprinting for LLMs via Pseudo-random Sequences Deterministic or probabilistic? The psychology of LLMs as random number generators

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:56:27.978565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T11:24:01.547119Z digest=sha256:be1659fc28730cff1855b75f2f573ba52c410ee7d163330fa58f1d23418cce73

Observation 81f2424d-2025-422a-b18c-9df031901c54 · inbound

UnpredictaBench: A Benchmark for Evaluating Distributional Randomness in LLMs cites this paper.

UnpredictaBench: A Benchmark for Evaluating Distributional Randomness in LLMs Deterministic or probabilistic? The psychology of LLMs as random number generators

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:56:57.224944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T01:43:55.322656Z digest=sha256:521ff98432900d6c4d93afb922f344727de90234ae894df19b4093272dce2072

Observation 49651e63-7a34-400e-bc2b-7b964626107c · inbound

To Compare, or Not to Compare: On Methodological Practices in Evaluating Social Bias cites this paper.

To Compare, or Not to Compare: On Methodological Practices in Evaluating Social Bias Deterministic or probabilistic? The psychology of LLMs as random number generators

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T17:09:58.743615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-25T23:55:07.591497Z digest=sha256:6f19b44ac196c654a3be6ad58319d8006d0f97c5c575b325cbf8f32470f51fb4

Observation 2aa8a969-9b54-4e59-b541-590f6114b703 · inbound

One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions cites this paper.

One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions Deterministic or probabilistic? The psychology of LLMs as random number generators

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-14T13:10:47.045131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T13:10:47.045131Z digest=sha256:f18a8272cd1a7a99849743fde7aec00505ce1aee8a908960b758ca348760a50d