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Paper Citation Record · LEDGER

Learning in Factored Domains with Information-Constrained Visual Representations

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.17508.

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

pith.paper-citation-record.v1
2303.17508 v1

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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:27:14.889666Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T00:07:41.788430Z

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 ba88cb19-9bf8-4ee1-bb5c-4eb1ccd6af90 · inbound

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference cites this paper.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Learning in Factored Domains with Information-Constrained Visual Representations

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-11T12:27:14.889666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:27:14.889666Z digest=sha256:f9b19b449593f976a5e1c12033ac2a314101cbc70b9fee712d2b84d561be4e59

Observation 152921af-e460-4c24-a2cc-9f7267ccb8ed · inbound

Position: Theory of Mind Benchmarks are Broken for Large Language Models cites this paper.

Position: Theory of Mind Benchmarks are Broken for Large Language Models Learning in Factored Domains with Information-Constrained Visual Representations

Reference 65

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T00:07:41.792216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T00:07:41.339529Z digest=sha256:ba8c9ded782e1056d608fd0603f00fd787d7082a1f38efe5f7c5f2c9cba795e4