Pith. sign in

Paper Citation Record · LEDGER

Artificial Intelligence Index Report 2023

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.03715.

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

pith.paper-citation-record.v1
2310.03715 v1

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:50:50.056738Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

188
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6ed0380d-7c64-4422-b63e-44c6db704c49 · inbound

Energy Considerations for Large Pretrained Neural Networks cites this paper.

Energy Considerations for Large Pretrained Neural Networks Artificial Intelligence Index Report 2023

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T11:50:50.056738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:50.056738Z digest=sha256:44263b17a8eeea856d65613d07c58c68ef4dc2affc000a6bc0ba6b1326a664a9

Observation f1a1d6c2-45f5-4db7-a21d-ec3653489c91 · inbound

Increased endurance of nonvolatile photonics enabled by nanostructured phase-change materials cites this paper.

Increased endurance of nonvolatile photonics enabled by nanostructured phase-change materials Artificial Intelligence Index Report 2023

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-10T17:25:38.526025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T17:24:15.164171Z digest=sha256:355f502889f39ad7881312496c0948932a33aafe6d8e8c5a45936cade2e9bfcb