Pith. sign in

Paper Citation Record · LEDGER

DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2001.08113.

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

pith.paper-citation-record.v1
2001.08113 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:02:37.006920Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T05:26:48.401804Z

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 4983b4b1-578c-48d4-ae98-317ebadfe27e · inbound

Image Quality Assessment: Exploring Regional Heterogeneity via Response of Adaptive Multiple Quality Factors in Dictionary Space cites this paper.

Image Quality Assessment: Exploring Regional Heterogeneity via Response of Adaptive Multiple Quality Factors in Dictionary Space DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T05:02:37.006920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:02:37.006920Z digest=sha256:205d1f77f8b735832b1603ca3413b667f3a6604d1ba24805781be973abe1e951

Observation 86b6cf87-9a5c-40f5-adf6-23e4189f7604 · inbound

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook cites this paper.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-08T04:44:28.409053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:44:28.409053Z digest=sha256:5b385c9ce0a730d4bb858b50f120fe84a7da957004bfe23970c8e7761370fff0

Observation d8fcee6c-5181-46d0-97b6-4911d40288e9 · inbound

Enhanced Dermatology Image Quality Assessment via Cross-Domain Training cites this paper.

Enhanced Dermatology Image Quality Assessment via Cross-Domain Training DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:02.334450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:02.334450Z digest=sha256:26d8d37ca2a7e6b6919bd3ec10f5531837346d9ca4c55f5a80e1ebbe4e7610a4

Observation 06d09d59-1d35-49ba-a81e-cc46268e82a3 · inbound

HiRQA: Hierarchical Ranking and Quality Alignment for Opinion-Unaware Image Quality Assessment cites this paper.

HiRQA: Hierarchical Ranking and Quality Alignment for Opinion-Unaware Image Quality Assessment DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T18:07:51.378920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:07:51.378920Z digest=sha256:cc9f5969376bd44c24e056435c841a7358ea9a27dafd826e3f474638c0a0e9a9

Observation e94d8b4d-d0b1-404a-ac86-959edbd09266 · inbound

Spatially Localized Image Degradation Embeddings for Image Quality Assessment cites this paper.

Spatially Localized Image Degradation Embeddings for Image Quality Assessment DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-06-30T08:04:28.077069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T08:00:15.468841Z digest=sha256:b64f71e061fc86e13ce00517fdcd8d26f575b0c876fad9fa8f5b194da2dab1e1

Observation d4cf256d-64ca-4d72-9f88-b790f96b3ba9 · inbound

Partial-Reference IQA Based on Hermite-Gauss Structural Prediction and Texture Deviation cites this paper.

Partial-Reference IQA Based on Hermite-Gauss Structural Prediction and Texture Deviation DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-07-10T05:26:48.403599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-10T05:17:56.193226Z digest=sha256:6bbba5ff9ecdb4439233bcc25e8218102d7996803930c0a750d45d0365e040a6

Observation 23c61aea-85bc-497d-bb80-ff58e54efa42 · inbound

Partial-Reference IQA Based on Hermite-Gauss Structural Prediction and Texture Deviation cites this paper.

Partial-Reference IQA Based on Hermite-Gauss Structural Prediction and Texture Deviation DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning

Reference 60

Resolution
unresolved
no resolver link, observed 2026-07-13T06:36:07.063919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T06:36:07.063919Z digest=sha256:a49cd7f9c286b1f682892ae701cddc31b6e9b2d46ad59d81d442883a8835c192

Observation 006236f5-490e-4f00-b29b-1f2c42581117 · inbound

A Reference-Free Framework for Evaluating Single-Frame ISP Pipelines cites this paper.

A Reference-Free Framework for Evaluating Single-Frame ISP Pipelines DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning

Reference 63

Resolution
unresolved
no resolver link, observed 2026-07-31T23:47:42.686140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:47:42.686140Z digest=sha256:b36507ade9eb141c51cc89588b59aa34930e1cd4d138c3526ef07594021c8174