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Paper Citation Record · LEDGER

Predictable Artificial Intelligence

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.06167.

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

pith.paper-citation-record.v1
2310.06167 v3

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:17:55.044241Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T01:10:51.473516Z

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 2e7917d2-ba30-45a1-bb2e-01e313cbb795 · inbound

11Plus-Bench: Demystifying Multimodal LLM Spatial Reasoning with Cognitive-Inspired Analysis cites this paper.

11Plus-Bench: Demystifying Multimodal LLM Spatial Reasoning with Cognitive-Inspired Analysis Predictable Artificial Intelligence

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-05T15:17:55.044241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:17:55.044241Z digest=sha256:462b2a10d3c6c2f711f7eb13b170537e35b9d9c9db225170c736c34bb61c7ec6

Observation cc955960-89bf-4a9c-9806-74e1f0a7db4f · inbound

Predicting Performance of Symbolic and Prompt Programs with Examples cites this paper.

Predicting Performance of Symbolic and Prompt Programs with Examples Predictable Artificial Intelligence

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-22T01:10:51.476097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T01:10:01.044650Z digest=sha256:cf36294c93268a3c8187aa03a9d19a78ed54518488582db5bbe0b617214c78aa