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Paper Citation Record · LEDGER

Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.07501.

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

pith.paper-citation-record.v1
2503.07501 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:53:53.901347Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T11:07:15.413015Z

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 90c88228-b49b-46a1-b528-32d07a35dbbc · inbound

Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs cites this paper.

Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:07:15.414439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T11:03:59.222849Z digest=sha256:d3949f35b1fee0fe6aab87b3ab8e5d8cd732084b4ad6bdac97ca9f4d0e6924d6

Observation 5cc8453d-7084-4837-ba77-3d783ddf0fe3 · inbound

Memorization in Graph Neural Networks cites this paper.

Memorization in Graph Neural Networks Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T15:53:53.901347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:53:53.901347Z digest=sha256:6252235c5fc38a7c631110db441e075d4c1bf1ca15e7df3e305404ea918178ae