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Paper Citation Record · LEDGER

Overcoming Vocabulary Constraints with Pixel-level Fallback

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.02122.

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

pith.paper-citation-record.v1
2504.02122 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:34:17.902741Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:46:07.040587Z

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 b6748289-39c1-4ef3-9d44-2ea6c855e65d · inbound

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach cites this paper.

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach Overcoming Vocabulary Constraints with Pixel-level Fallback

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T14:34:17.902741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:34:17.902741Z digest=sha256:5d71a399cd65f9e087c16be47bf64f845a5412f9e5c580b67b831dbb52492a8d

Observation 15cf789e-417a-4538-b298-4845909962b9 · inbound

MIXAR: Scaling Autoregressive Pixel-based Language Models to Multiple Languages and Scripts cites this paper.

MIXAR: Scaling Autoregressive Pixel-based Language Models to Multiple Languages and Scripts Overcoming Vocabulary Constraints with Pixel-level Fallback

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:46:07.042434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T15:50:48.162200Z digest=sha256:7431031c7255a88be329a2d475e613d78773e7b9eaede1a3845ed8c3ab121c7a