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Paper Citation Record · LEDGER

On the consistency of relative facts

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.07343.

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

pith.paper-citation-record.v1
2305.07343 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:43:04.866116Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:38:25.148907Z

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 f48c80a0-f168-4cb8-ab82-2b51a5ce41c0 · inbound

A refined Frauchiger--Renner paradox based on strong contextuality cites this paper.

A refined Frauchiger--Renner paradox based on strong contextuality On the consistency of relative facts

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:38:25.151702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T20:35:54.557563Z digest=sha256:20070adee5e29cd5f4e9c75db84ec0cec999e5feca30d96d2b3b6f1a17c5fbc5

Observation 4956d886-5e93-4272-b982-2d98a7eb761a · inbound

Large Language Models for Crash Detection in Video: A Survey of Methods, Datasets, and Challenges cites this paper.

Large Language Models for Crash Detection in Video: A Survey of Methods, Datasets, and Challenges On the consistency of relative facts

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T20:43:04.866116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:43:04.866116Z digest=sha256:6d47cd5ff1254b9c65513d24351844d80cc558a029ccb71e59710c9d8b5dca6e