Pith. sign in

Paper Citation Record · LEDGER

DynoSLAM: Dynamic SLAM with Generative Graph Neural Networks for Real-World Social Navigation

As of 10 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2605.02759.

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

pith.paper-citation-record.v1
2605.02759 v2

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T00:08:50.735273Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

7 of 7 outbound references displayed

  • verified exact3
  • verified fuzzy3
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 03ea2a6a-8431-43dd-86fb-cb45575ebcb3 · outbound

This paper cites Dynamic Entity and Motion-Aware 3D Scene Graph SLAM.

DynoSLAM: Dynamic SLAM with Generative Graph Neural Networks for Real-World Social Navigation Dynamic Entity and Motion-Aware 3D Scene Graph SLAM

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-21T00:09:16.809102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T00:08:50.735273Z digest=sha256:730afa3048edf9fa0e3626adf841596e8c604c24f66b22653a92a2c3047eae1a

Observation 25213c07-704b-4097-b1be-6b09d2c67f1f · outbound

This paper cites DynaGSLAM: Real-Time Gaussian-Splatting SLAM for Online Rendering, Tracking, Motion Predictions of Moving Objects in Dynamic Scenes.

DynoSLAM: Dynamic SLAM with Generative Graph Neural Networks for Real-World Social Navigation DynaGSLAM: Real-Time Gaussian-Splatting SLAM for Online Rendering, Tracking, Motion Predictions of Moving Objects in Dynamic Scenes

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-21T00:09:16.803774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T00:08:50.735273Z digest=sha256:f7bae3ff7ac3f9c2a99e2b82c2201cdac92c0c368f67dd963d6f087237fd37a2

Observation 85fe0e28-19ae-4963-8154-e68fbb2e9403 · outbound

This paper cites VDO-SLAM: A Visual Dynamic Object-aware SLAM System.

DynoSLAM: Dynamic SLAM with Generative Graph Neural Networks for Real-World Social Navigation VDO-SLAM: A Visual Dynamic Object-aware SLAM System

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-21T00:09:16.798791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T00:08:50.735273Z digest=sha256:05bc5ffc844e3c3999a7f75204565ecf99dfcac546164580c2513065ff204cb1

Observation 0255969b-46ee-4d9f-a601-afb1e9d02221 · outbound

This paper cites Scenario-based model predictive control with prob- abilistic human trajectory prediction.

DynoSLAM: Dynamic SLAM with Generative Graph Neural Networks for Real-World Social Navigation Scenario-based model predictive control with prob- abilistic human trajectory prediction

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:09:17.204120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T00:08:50.735273Z digest=sha256:d5c5a66e88b855f5e175f34219042135856142a4ab0621c5c9cd0d31d30ebb26

Observation 5b5d4a4c-31d1-4f44-8c34-ddabd084a465 · outbound

This paper cites Reinforcement learning-based dynamic obstacle avoid- ance.

DynoSLAM: Dynamic SLAM with Generative Graph Neural Networks for Real-World Social Navigation Reinforcement learning-based dynamic obstacle avoid- ance

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:09:17.207294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T00:08:50.735273Z digest=sha256:45e873325beec6972a54908c0184f2ab6e414e18f47414e74a2d21d5103bde7d

Observation dc7bfbd4-8d9e-42ba-99bb-560b0fd0bd0a · outbound

This paper cites an unresolved cited work.

DynoSLAM: Dynamic SLAM with Generative Graph Neural Networks for Real-World Social Navigation Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-05-21T00:09:17.210743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T00:08:50.735273Z digest=sha256:f746f60eb6a8224e40ad77e2c9eedba56fe815c76d15e7439ac7eb8d7af57840

Observation e2706567-567d-41d6-ab21-9d6cd2673db3 · outbound

This paper cites al., “Walking ahead: The headed social force model,“PLoS One, vol.

DynoSLAM: Dynamic SLAM with Generative Graph Neural Networks for Real-World Social Navigation al., “Walking ahead: The headed social force model,“PLoS One, vol

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T00:09:17.213911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T00:08:50.735273Z digest=sha256:8c0aa25520ac74beb227315c754527b136f66cc38a1d1ab50d32b7250f568ae2

Pith citing papers

No inbound Pith citation observations are available.