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Paper Citation Record · LEDGER

Revealing interpretable object representations from human behavior

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1901.02915.

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

pith.paper-citation-record.v1
1901.02915 v1

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 2026-08-23T06:30:58.430688+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:52:08.676906Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:58:21.174443Z

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 2f90a42d-d6a3-480b-9d05-e1f3c2e2f190 · inbound

Shifting Attention to You: Personalized Brain-Inspired AI Models cites this paper.

Shifting Attention to You: Personalized Brain-Inspired AI Models Revealing interpretable object representations from human behavior

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T22:03:21.193449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:03:21.193449Z digest=sha256:1638f3bc06c178b5103562fe47cc7f01039779e9595f543d4ef33ca8baee21d1

Observation 0506eecf-36c4-47c0-9570-b429b93ed258 · inbound

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability cites this paper.

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability Revealing interpretable object representations from human behavior

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T23:52:08.676906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:52:08.676906Z digest=sha256:169115d0dce9bf60a6f3103441b17d7ce3beb995aa832f2ad2ec18c76d132da2

Observation 2cd19b51-3cd4-405c-a68b-b6f14212bfbb · inbound

Uncovering the EEG Temporal Representation of Low-dimensional Object Properties cites this paper.

Uncovering the EEG Temporal Representation of Low-dimensional Object Properties Revealing interpretable object representations from human behavior

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T15:59:58.479064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:59:58.479064Z digest=sha256:925a39acfff62221d836eca030b33b084989c417d09d9a4af12a27676bb0b14c

Observation 6a8a20ec-0da3-426c-8ed3-15821014e119 · inbound

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering Human Perceptual Variability on Facial Expressions cites this paper.

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering Human Perceptual Variability on Facial Expressions Revealing interpretable object representations from human behavior

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:58:21.277029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T15:58:17.007798Z digest=sha256:ef4302b4bf8918eb278d607acb989b7851a23a8c319c8128f9b817c736cbe0d7

Observation 5aef7b76-ab30-439a-a0a0-aae79de5d1d6 · inbound

Dimensions of Vulnerability in Visual Working Memory: An AI-Driven Approach to Perceptual Comparison cites this paper.

Dimensions of Vulnerability in Visual Working Memory: An AI-Driven Approach to Perceptual Comparison Revealing interpretable object representations from human behavior

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T17:45:59.782124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:45:59.782124Z digest=sha256:d1d5b77d3e1b502c6296a5834cecc673591a5753b9e4c3ccd3dd8346640e47bb