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Paper Citation Record · LEDGER

Independence Tests for Language Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.12292.

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

pith.paper-citation-record.v1
2502.12292 v2

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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:34:31.875888Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:29:39.764185Z

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 edfa9788-310b-46fa-b947-f5846253b170 · inbound

Advertising in AI systems: Society must be vigilant cites this paper.

Advertising in AI systems: Society must be vigilant Independence Tests for Language Models

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-07T14:34:31.875888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:34:31.875888Z digest=sha256:83e3dd475a2739557732a01d9fee8c72dad66d5c9fe4252cc706f92be643de27

Observation 02f12c69-a25c-4bd4-b596-31d97e29e1de · inbound

Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs cites this paper.

Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs Independence Tests for Language Models

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:29:39.840653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:29:39.092903Z digest=sha256:81a7d25ece3e27db64e2ab8ec6f29839a10aae8a28df0672cefef061a256a27f