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Paper Citation Record · LEDGER

Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.15955.

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

pith.paper-citation-record.v1
2406.15955 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 2026-08-06T17:46:19.212667Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T16:31:58.210514Z

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 ec3abb6f-c646-4fa8-8b54-1d0af3e8622f · inbound

BlueGlass: A Framework for Composite AI Safety cites this paper.

BlueGlass: A Framework for Composite AI Safety Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T17:46:19.212667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:46:19.212667Z digest=sha256:078568062a83440a31f1837d21ebd1602b90f31fdbf6c025143ce3de420dbb9e

Observation e394917d-e950-4ab6-9199-6fcbb4abe0bf · inbound

Why Relational Graphs Will Save the Next Generation of Vision Foundation Models? cites this paper.

Why Relational Graphs Will Save the Next Generation of Vision Foundation Models? Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:31:58.213945Z

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=2026-08-05T16:31:57.833558Z digest=sha256:89a04ce427566ef5d0512f4ada8cb25aab172e25b93e1fabfdd8d1e1d78a6981