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Paper Citation Record · LEDGER

Language Model Evaluation Beyond Perplexity

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2106.00085.

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

pith.paper-citation-record.v1
2106.00085 v3

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 2026-08-10T22:27:47.828004Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 22d4c7bf-aaf0-461e-8193-877bdace304c · inbound

A non-ergodic framework for understanding emergent capabilities in Large Language Models cites this paper.

A non-ergodic framework for understanding emergent capabilities in Large Language Models Language Model Evaluation Beyond Perplexity

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-10T22:27:47.828004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:27:47.828004Z digest=sha256:c40240a0d32d34ef05f7fdcd637afc404b00f885926f9719a161f10882adc637

Observation 6d961179-ffb5-4e24-a414-1cf38a8c3857 · inbound

Mass-Scale Analysis of In-the-Wild Conversations Reveals Complexity Bounds on LLM Jailbreaking cites this paper.

Mass-Scale Analysis of In-the-Wild Conversations Reveals Complexity Bounds on LLM Jailbreaking Language Model Evaluation Beyond Perplexity

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T19:56:06.865514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:56:06.865514Z digest=sha256:ce8fb70c39fea322ab7ab00237f58a916831907acac5746d967c83ddabc9cafc

Observation 2a69ec24-21bc-4bf1-b26d-426546e19878 · inbound

LLM-PRISM: Characterizing Silent Data Corruption from Permanent GPU Faults in LLM Training cites this paper.

LLM-PRISM: Characterizing Silent Data Corruption from Permanent GPU Faults in LLM Training Language Model Evaluation Beyond Perplexity

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-10T16:45:37.172071Z

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=2026-05-10T16:41:25.467287Z digest=sha256:546dda677a44a4420ee7e65fe8870b91708c0a7141f3d5491fb01a7e57b024df

Observation f4f86dc1-cdd2-4bf2-bfa4-971875dd116b · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Language Model Evaluation Beyond Perplexity

Reference 189

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:59:45.007016Z

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=2026-06-26T09:19:50.623741Z digest=sha256:f325bd056a777c603402e4291b799eac799916a2b77294527a1279e9b567a0cc

Observation b7d9ca46-a87e-434b-be89-0748f64a7131 · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Language Model Evaluation Beyond Perplexity

Reference 188

Resolution
verified exact
arxiv_id, observed 2026-07-01T18:55:59.362556Z

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=2026-06-29T01:18:19.195007Z digest=sha256:521d5c4ed2893bc9dff52bb3b8480bc1e007eac9e068dc75a257f2eaab2aca4c