Paper Citation Record · LEDGER

SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.04077.

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

pith.paper-citation-record.v1
2309.04077 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:59:03.030660Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T20:28:39.088954Z

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 9bcf3b77-a204-4a7a-80f1-513468f7ce1a · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments

Reference 242

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:28:39.090725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2dc787e8-b40f-43d7-9510-ebc732dd1d01 · inbound

Aim My Robot: Precision Local Navigation to Any Object cites this paper.

Aim My Robot: Precision Local Navigation to Any Object SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T14:59:03.030660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee2b662e-d402-4e43-ae49-1acc74e25a2b · inbound

Prompting Robot Teams with Natural Language cites this paper.

Prompting Robot Teams with Natural Language SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:23.151187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e21b0cf-aec6-4610-925a-043a4aebb220 · inbound

How Far Are Large Multimodal Models from Human-Level Spatial Action? A Benchmark for Goal-Oriented Embodied Navigation in Urban Airspace cites this paper.

How Far Are Large Multimodal Models from Human-Level Spatial Action? A Benchmark for Goal-Oriented Embodied Navigation in Urban Airspace SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:25:57.172404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.