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Paper Citation Record · LEDGER

A Probabilistic Quality Representation Approach to Deep Blind Image Quality Prediction

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1708.08190.

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

pith.paper-citation-record.v1
1708.08190 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:12:45.425549Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-30T08:04:28.078287Z

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 27560ea2-e4c9-4b26-b1eb-d4b54368d3d7 · inbound

Dual-Representation Interaction Driven Image Quality Assessment with Restoration Assistance cites this paper.

Dual-Representation Interaction Driven Image Quality Assessment with Restoration Assistance A Probabilistic Quality Representation Approach to Deep Blind Image Quality Prediction

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-12T12:12:45.425549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:12:45.425549Z digest=sha256:7da9a189a53ed69e43268768705bae91c8c65004f4c92f6dd1105e66c9b446fa

Observation 7e24d7b8-965c-4898-81a3-a6e9d87e8335 · inbound

Video Quality Assessment: A Comprehensive Survey cites this paper.

Video Quality Assessment: A Comprehensive Survey A Probabilistic Quality Representation Approach to Deep Blind Image Quality Prediction

Reference 218

Resolution
unresolved
no resolver link, observed 2026-08-11T22:52:57.448366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:52:57.448366Z digest=sha256:acdfeaced4f6792e08e34699be8edd1d0ad96636d32c98dc023b19445f951238

Observation f6a6dcb9-0649-4980-833f-9933617d6089 · inbound

Differentiable Low-computation Global Correlation Loss for Monotonicity Evaluation in Quality Assessment cites this paper.

Differentiable Low-computation Global Correlation Loss for Monotonicity Evaluation in Quality Assessment A Probabilistic Quality Representation Approach to Deep Blind Image Quality Prediction

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T14:18:07.143016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:18:07.143016Z digest=sha256:5042387d1b85e7dcdcbb780480ac18c076b22850761b375cc13edfaa6ac2ebbe

Observation e39cdd99-b9a1-473e-9656-b95c0fb48b52 · inbound

Perceptual Classifiers: Detecting Generative Images using Perceptual Features cites this paper.

Perceptual Classifiers: Detecting Generative Images using Perceptual Features A Probabilistic Quality Representation Approach to Deep Blind Image Quality Prediction

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T14:57:49.207150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:57:49.207150Z digest=sha256:5f1f6e9d39146bdff36375566b26340472440ae096bc67733d2563309e0ec845

Observation 18a5d1ab-3cca-4ec9-addd-3a98e628dd9e · inbound

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

Spatially Localized Image Degradation Embeddings for Image Quality Assessment A Probabilistic Quality Representation Approach to Deep Blind Image Quality Prediction

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-06-30T08:04:28.079551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-30T08:00:15.468841Z digest=sha256:c6cd7f74c45ad8986892da80c5aedb630b2167fdac774fed88a42996b34e283c