Pith. sign in

Paper Citation Record · LEDGER

Embracing New Techniques in Deep Learning for Estimating Image Memorability

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2105.10598.

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

pith.paper-citation-record.v1
2105.10598 v3

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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:55:12.272478Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T10:06:05.774560Z

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 9beda5d4-9aa7-4147-9ce5-25d380cba4f7 · inbound

Complexity in Complexity: Understanding Visual Complexity Through Structure, Color, and Surprise cites this paper.

Complexity in Complexity: Understanding Visual Complexity Through Structure, Color, and Surprise Embracing New Techniques in Deep Learning for Estimating Image Memorability

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T13:55:12.272478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T13:55:12.272478Z digest=sha256:afd27b4f90040819c575da248c5706c51d661df565cf93cb0e425e9ed9fca79e

Observation 0514f781-25f8-499f-9e64-32e7dfb9b4c2 · inbound

Human-Inspired Context-Selective Multimodal Memory for Social Robots cites this paper.

Human-Inspired Context-Selective Multimodal Memory for Social Robots Embracing New Techniques in Deep Learning for Estimating Image Memorability

Reference 43

Resolution
malformed identifier
arxiv_id, observed 2026-05-11T10:06:05.778640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T15:37:56.427507Z digest=sha256:d6f565af62755debed15f7beb705ef5ddca2ab03319b73eaf868dac9a2ddfd3e