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Paper Citation Record · LEDGER

Learning Deep SDF Maps Online for Robot Navigation and Exploration

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2207.10782.

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

pith.paper-citation-record.v1
2207.10782 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:55:29.059945Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T08:25:18.130784Z

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 3b656753-d873-497a-874f-99284d510e6c · inbound

ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation cites this paper.

ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation Learning Deep SDF Maps Online for Robot Navigation and Exploration

Reference 89

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:25:18.132816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-16T08:25:17.847571Z digest=sha256:464001d71b3c1fe8ecf6d2e836e05d00e53b5e3d6019f1e6f355f66512798aaa

Observation ed0e563c-0b86-434b-afd8-b1e25e782a9b · inbound

Implicit 3D scene reconstruction using deep learning towards efficient collision understanding in autonomous driving cites this paper.

Implicit 3D scene reconstruction using deep learning towards efficient collision understanding in autonomous driving Learning Deep SDF Maps Online for Robot Navigation and Exploration

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T23:55:29.059945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:55:29.059945Z digest=sha256:2cf70f9a419b5f658649cf7510a65fa1954319702078e31fc1c091943c4bdb20