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Paper Citation Record · LEDGER

Disentangling and Integrating Relational and Sensory Information in Transformer Architectures

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.16727.

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

pith.paper-citation-record.v1
2405.16727 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 2026-08-05T16:31:57.836144Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T18:06:05.429747Z

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 bb01c69b-8095-4983-a1b7-08467535dfa8 · 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? Disentangling and Integrating Relational and Sensory Information in Transformer Architectures

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T16:31:57.836144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:31:57.836144Z digest=sha256:736ca60434df40cd7ce752d3fefb3d408512dab8813dc15d23b243f40da562ab

Observation 73de5cce-f20d-4c9a-853d-5c5d78d99cd7 · inbound

Shortcut Solutions Learned by Transformers Impair Continual Compositional Reasoning cites this paper.

Shortcut Solutions Learned by Transformers Impair Continual Compositional Reasoning Disentangling and Integrating Relational and Sensory Information in Transformer Architectures

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:06:05.433030Z

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=2026-05-08T16:42:08.322419Z digest=sha256:5237458e7ff8c44bbc1c67ffff13119d20d0d8a9dbaf8d6486436492de715b33