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Paper Citation Record · LEDGER

You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.09718.

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

pith.paper-citation-record.v1
2311.09718 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:38:26.861069Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:47:40.790704Z

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 b76bfd8f-aef8-4d20-94b1-be4ab53f88da · inbound

Does Prompt Formatting Have Any Impact on LLM Performance? cites this paper.

Does Prompt Formatting Have Any Impact on LLM Performance? You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T19:38:26.861069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:38:26.861069Z digest=sha256:dd9746ff968a7b3d31382b4844cac066dc61510b0a8a458e490cdc84b386c236

Observation edc88b32-e4f8-4c86-9b0e-ebbd242af508 · inbound

Position is Power: System Prompts as a Mechanism of Bias in Large Language Models (LLMs) cites this paper.

Position is Power: System Prompts as a Mechanism of Bias in Large Language Models (LLMs) You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:13.033704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:43:13.033704Z digest=sha256:275f6fb1350ccb596d1d9ac8f872c29fa6df9114fb6e702912860e034c675419

Observation f0cea286-4d2c-4acb-879f-0730bcfab3d3 · inbound

When Do LLM Personas Support Visualization Design? A Cross-Model Study of Color Assignment and Chart Choice cites this paper.

When Do LLM Personas Support Visualization Design? A Cross-Model Study of Color Assignment and Chart Choice You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:47:40.792608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T05:45:38.428293Z digest=sha256:40c5c8762425236dd9c70f14432b76cd2836e886aad92ffb5ad0acf9c5593314