Paper Citation Record · LEDGER

GNM: A General Navigation Model to Drive Any Robot

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2210.03370.

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

pith.paper-citation-record.v1
2210.03370 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:08:17.010941Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:29:56.769376Z

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 6946913f-2507-4a7c-b321-7cc5175d31b1 · inbound

Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight cites this paper.

Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight GNM: A General Navigation Model to Drive Any Robot

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:55:25.153557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3fb86e18-1eb8-43db-9832-d547ecaacde1 · inbound

Spatially-Enhanced Recurrent Memory for Long-Range Mapless Navigation via End-to-End Reinforcement Learning cites this paper.

Spatially-Enhanced Recurrent Memory for Long-Range Mapless Navigation via End-to-End Reinforcement Learning GNM: A General Navigation Model to Drive Any Robot

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T06:08:17.010941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79f8712b-2090-4abe-96c7-b10ac9e603c1 · inbound

Narrate2Nav: Real-Time Visual Navigation with Implicit Language Reasoning in Human-Centric Environments cites this paper.

Narrate2Nav: Real-Time Visual Navigation with Implicit Language Reasoning in Human-Centric Environments GNM: A General Navigation Model to Drive Any Robot

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T00:25:04.966781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93bb0214-a7f1-4c3f-907d-51488a49780f · inbound

PixelNav: Towards Model-based Vision-Only Navigation with Topological Graphs cites this paper.

PixelNav: Towards Model-based Vision-Only Navigation with Topological Graphs GNM: A General Navigation Model to Drive Any Robot

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T13:14:26.099607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f48047a-018f-44b5-afa3-a5df9193dee3 · inbound

CAST: Counterfactual Labels Improve Instruction Following in Vision-Language-Action Models cites this paper.

CAST: Counterfactual Labels Improve Instruction Following in Vision-Language-Action Models GNM: A General Navigation Model to Drive Any Robot

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T19:06:29.926483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38390953-4597-4713-af93-9be7c386ff01 · inbound

Approximate Imitation Learning for Event-based Quadrotor Flight in Cluttered Environments cites this paper.

Approximate Imitation Learning for Event-based Quadrotor Flight in Cluttered Environments GNM: A General Navigation Model to Drive Any Robot

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-15T13:10:42.531155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3918b774-e376-4067-838e-fe7b425551ed · inbound

MVAdapt: Zero-Shot Multi-Vehicle Adaptation for End-to-End Autonomous Driving cites this paper.

MVAdapt: Zero-Shot Multi-Vehicle Adaptation for End-to-End Autonomous Driving GNM: A General Navigation Model to Drive Any Robot

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:46:03.036980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c1efbf6b-b8ec-4d3b-afc5-b722e2df160f · inbound

NavOL: Navigation Policy with Online Imitation Learning cites this paper.

NavOL: Navigation Policy with Online Imitation Learning GNM: A General Navigation Model to Drive Any Robot

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:52:21.935799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ff52d562-1518-47db-a244-4c78b50e0eb6 · inbound

Improved Baselines with Representation Autoencoders cites this paper.

Improved Baselines with Representation Autoencoders GNM: A General Navigation Model to Drive Any Robot

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:43:15.233938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c41c103e-eb64-469e-8b4d-75219be27922 · inbound

AR Forcing: Towards Long-Horizon Robot Navigation World Model cites this paper.

AR Forcing: Towards Long-Horizon Robot Navigation World Model GNM: A General Navigation Model to Drive Any Robot

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T19:56:10.943070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 601864a5-cea9-465f-8847-484db3f34d8e · inbound

Act on What You See: Unlocking Safe Social Navigation in Vision-Language-Action Models cites this paper.

Act on What You See: Unlocking Safe Social Navigation in Vision-Language-Action Models GNM: A General Navigation Model to Drive Any Robot

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-03T06:07:41.712520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 41a8b311-8913-4958-b89a-0ea8f1785bbe · inbound

From Imitation to Alignment: Human-Preference Flow Policies for Long-Horizon Sidewalk Navigation cites this paper.

From Imitation to Alignment: Human-Preference Flow Policies for Long-Horizon Sidewalk Navigation GNM: A General Navigation Model to Drive Any Robot

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-03T11:38:04.657918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9b770fc6-b514-4f4a-9e3d-64f8792f14b0 · inbound

NavWAM: A Navigation World Action Model for Goal-Conditioned Visual Navigation cites this paper.

NavWAM: A Navigation World Action Model for Goal-Conditioned Visual Navigation GNM: A General Navigation Model to Drive Any Robot

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-03T15:28:34.024832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0726750a-445d-4678-97e3-ab0d0b518a3c · inbound

NavWM: A Unified Navigation World Model for Foresight-Driven Planning cites this paper.

NavWM: A Unified Navigation World Model for Foresight-Driven Planning GNM: A General Navigation Model to Drive Any Robot

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:29:56.770888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6cf8f4c2-5689-4552-b34b-2a617f956c31 · inbound

Learning to Navigate Efficiently with Only 0.58M Trainable Parameters cites this paper.

Learning to Navigate Efficiently with Only 0.58M Trainable Parameters GNM: A General Navigation Model to Drive Any Robot

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T07:33:00.386358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c72f8d8-2785-4219-9a4e-44b20f1d53bd · inbound

Learning to Navigate Efficiently with Only 0.58M Trainable Parameters cites this paper.

Learning to Navigate Efficiently with Only 0.58M Trainable Parameters GNM: A General Navigation Model to Drive Any Robot

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T07:09:14.794966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2444674e-4326-4001-970d-f8978616653d · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills GNM: A General Navigation Model to Drive Any Robot

Reference 225

Resolution: unresolved; no resolver link, observed 2026-08-04T19:45:35.203645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.