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Paper Citation Record · LEDGER

Approaching human 3D shape perception with neurally mappable models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2308.11300.

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

pith.paper-citation-record.v1
2308.11300 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:14:37.300096Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bd317d2a-ac7f-4d93-88b0-e6fede04873f · inbound

DepthCues: Evaluating Monocular Depth Perception in Large Vision Models cites this paper.

DepthCues: Evaluating Monocular Depth Perception in Large Vision Models Approaching human 3D shape perception with neurally mappable models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-12T12:14:37.300096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:14:37.300096Z digest=sha256:4d4711031136249e3f1a53400f6c0d3278727b1817372e3638254f7deb21314a

Observation 0ab174d4-2dda-4e41-8d9f-03f3439000f4 · inbound

Do large language vision models understand 3D shapes? cites this paper.

Do large language vision models understand 3D shapes? Approaching human 3D shape perception with neurally mappable models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T15:32:59.700235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:32:59.700235Z digest=sha256:e803b4af4bc05e278cb7ff9120bbed8d720f307c4d9ec7d241e01d9240f376be

Observation 8febf2c1-34c2-454a-98e4-a9ef8bebf640 · inbound

Dual-Stream EEG Decoding for 3D Visual Perception cites this paper.

Dual-Stream EEG Decoding for 3D Visual Perception Approaching human 3D shape perception with neurally mappable models

Reference 274

Resolution
verified exact
arxiv_id, observed 2026-06-26T12:09:27.158528Z

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=arxiv_source observed=2026-06-26T12:09:03.946197Z digest=sha256:a9c52dae8d740c35e6b2623554759bdd407e55ffc22348611ae3f49c7f3d3ef6