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Paper Citation Record · LEDGER

HAT Super-Resolution and a PARSeq+CLIP4STR Voting Ensemble for Extreme In-the-Wild License Plate Recognition

As of 12 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2607.08896.

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

pith.paper-citation-record.v1
2607.08896 v1

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T05:58:43.042797Z

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

6 of 6 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4186246a-03eb-413c-b017-50622d9cd2ea · outbound

This paper cites Activating More Pixels in Image Super-Resolution Transformer,.

HAT Super-Resolution and a PARSeq+CLIP4STR Voting Ensemble for Extreme In-the-Wild License Plate Recognition Activating More Pixels in Image Super-Resolution Transformer,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-13T05:58:43.042797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:58:43.042797Z digest=sha256:da9bed6e691079ae08b21f939f088abfc3251dfa17d15e04a31526d298c7bab2

Observation bdf14b58-1411-49d5-8ae9-6ad6adfaec84 · outbound

This paper cites Scene Text Recognition with Permuted Autoregressive Sequence Models,.

HAT Super-Resolution and a PARSeq+CLIP4STR Voting Ensemble for Extreme In-the-Wild License Plate Recognition Scene Text Recognition with Permuted Autoregressive Sequence Models,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-13T05:58:43.042797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:58:43.042797Z digest=sha256:5bdc8891fa99181439c5fb9815e16140ce9208b543f070fa2fe11b861c4fa85c

Observation 512aa118-4c3b-4bb9-926b-fdb0ed05ef79 · outbound

This paper cites CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model.

HAT Super-Resolution and a PARSeq+CLIP4STR Voting Ensemble for Extreme In-the-Wild License Plate Recognition CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-13T05:58:43.042797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:58:43.042797Z digest=sha256:391c83cf1251b9fa55b15bc315b18487655ac832fa47678b0710120c4e3d3827

Observation dde3cacf-6bf0-4886-9661-b59552baf838 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision,.

HAT Super-Resolution and a PARSeq+CLIP4STR Voting Ensemble for Extreme In-the-Wild License Plate Recognition Learning Transferable Visual Models From Natural Language Supervision,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-13T05:58:43.042797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:58:43.042797Z digest=sha256:9560f178eb369ec156ea45c59fcedc69ed78771b558164d562f079499e6ae52f

Observation 5f9550dc-e892-40e6-9d2b-360493d0f479 · outbound

This paper cites Designing a Practical Degradation Model for Deep Blind Image Super-Resolution,.

HAT Super-Resolution and a PARSeq+CLIP4STR Voting Ensemble for Extreme In-the-Wild License Plate Recognition Designing a Practical Degradation Model for Deep Blind Image Super-Resolution,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-13T05:58:43.042797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:58:43.042797Z digest=sha256:f922f9260e76c0f0eef3bb58135a0c94a07351c239ca56727c1274cc1b702589

Observation f8079b6f-603c-46a6-b7f9-725c494e8047 · outbound

This paper cites SwiftSRGAN — Rethinking Super- Resolution for Efficient and Real-Time Inference,.

HAT Super-Resolution and a PARSeq+CLIP4STR Voting Ensemble for Extreme In-the-Wild License Plate Recognition SwiftSRGAN — Rethinking Super- Resolution for Efficient and Real-Time Inference,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-13T05:58:43.042797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:58:43.042797Z digest=sha256:1753eaa5aff8f343a1ca2760d63d6772cb1e6e416f748a3d7dfdde3e3426c354

Pith citing papers

No inbound Pith citation observations are available.