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Paper Citation Record · LEDGER

Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.18464.

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

pith.paper-citation-record.v1
2305.18464 v2

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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:38:42.485708Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:53:07.029679Z

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 d4858abf-b73e-4f2d-b310-541482ff5742 · inbound

Depth Transfer: Learning to See Like a Simulator for Real-World Drone Navigation cites this paper.

Depth Transfer: Learning to See Like a Simulator for Real-World Drone Navigation Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T20:38:42.485708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:38:42.485708Z digest=sha256:fcdeb95392fd512ca0f04011a7f04976bb954314b0abef31dae43d306224af36

Observation fcee1a07-2c6a-43df-a363-8ace2fa99fbd · inbound

SimLauncher: Launching Sample-Efficient Real-world Robotic Reinforcement Learning via Simulation Pre-training cites this paper.

SimLauncher: Launching Sample-Efficient Real-world Robotic Reinforcement Learning via Simulation Pre-training Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:53:07.035752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:53:06.258532Z digest=sha256:f7bfca4dc6d452a8952be3a5c22f9d2eacfe3dd569fd9982cc0674fa7905d131