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Paper Citation Record · LEDGER

Local Distortion Aware Efficient Transformer Adaptation for Image Quality Assessment

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2308.12001.

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

pith.paper-citation-record.v1
2308.12001 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:59:43.511191Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:30:00.261126Z

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 8b77250b-10f8-4d33-8d91-d0d83e0a6de1 · inbound

SEAGULL: No-reference Image Quality Assessment for Regions of Interest via Vision-Language Instruction Tuning cites this paper.

SEAGULL: No-reference Image Quality Assessment for Regions of Interest via Vision-Language Instruction Tuning Local Distortion Aware Efficient Transformer Adaptation for Image Quality Assessment

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-12T19:59:43.511191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:59:43.511191Z digest=sha256:730412590b4d7f931268965aa3aa604f0d99727dad9d965e4c0750782f6d5dc5

Observation e3053565-1ab0-4a61-94e6-7eaf37028a71 · inbound

Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization cites this paper.

Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization Local Distortion Aware Efficient Transformer Adaptation for Image Quality Assessment

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T20:31:48.018162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:31:48.018162Z digest=sha256:ea7e3ddf0e920d7f4efde15e5560e312780d657712fa033b1df3d536376fecd1

Observation 1e9075ed-051a-406a-86cd-bb52a9e654ed · inbound

MS-IQA: A Multi-Scale Feature Fusion Network for PET/CT Image Quality Assessment cites this paper.

MS-IQA: A Multi-Scale Feature Fusion Network for PET/CT Image Quality Assessment Local Distortion Aware Efficient Transformer Adaptation for Image Quality Assessment

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T22:58:05.851047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:58:05.851047Z digest=sha256:300330f7088266034d88385d2525f4d9eb553ffa58fc89c4fbd70bfe9dddb1b4

Observation 456cd289-9e16-4e66-b5e4-e508b3fc12fb · inbound

Visual-Language Model Knowledge Distillation Method for Image Quality Assessment cites this paper.

Visual-Language Model Knowledge Distillation Method for Image Quality Assessment Local Distortion Aware Efficient Transformer Adaptation for Image Quality Assessment

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:30:00.268809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T15:30:00.210664Z digest=sha256:4a762c0d8a504f01b029dd1138f5880d08301c369f44178c73d1f56b84aa1610