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Paper Citation Record · LEDGER

NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLM

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2502.11142.

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

pith.paper-citation-record.v1
2502.11142 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:46:41.107326Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T02:27:49.188982Z

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 caa6c702-f2d3-4316-a3e5-4700a33ae4b6 · inbound

A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AI cites this paper.

A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AI NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLM

Reference 170

Resolution
unresolved
no resolver link, observed 2026-08-16T04:46:41.107326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:46:41.107326Z digest=sha256:1d4eb6fdf63b723861ac754ff2818285fbd7031150f02278bb3c2e55c0ab781b

Observation 45278d17-f96a-4c42-baeb-20620e5e5c34 · inbound

Dynam3D: Dynamic Layered 3D Tokens Empower VLM for Vision-and-Language Navigation cites this paper.

Dynam3D: Dynamic Layered 3D Tokens Empower VLM for Vision-and-Language Navigation NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLM

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T20:59:10.939678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:59:10.939678Z digest=sha256:e6f002a262ed1fd25705d446eefaca64368f520c9363899d58717e2e93103af1

Observation 34290cb4-5fc7-4e15-9fbe-acb5c29ddca5 · inbound

TrajRAG: Retrieving Geometric-Semantic Experience for Zero-Shot Object Navigation cites this paper.

TrajRAG: Retrieving Geometric-Semantic Experience for Zero-Shot Object Navigation NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLM

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:21:02.141723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T16:03:43.286740Z digest=sha256:2afa005e8d02d347d72fb54c5880e0d0ce0d148992cd5e9567ff5340f44b6c52

Observation 71bce6c7-8da7-4f09-8c21-11ae5dee4187 · inbound

GA-VLN: Geometry-Aware BEV Representation for Efficient Vision-Language Navigation cites this paper.

GA-VLN: Geometry-Aware BEV Representation for Efficient Vision-Language Navigation NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLM

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-22T06:46:10.518953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-22T06:45:35.920991Z digest=sha256:a3dceb21fc0ff13b9f1bccfaf03289e13518ab88182a1eb62bfb52a1d5826db6

Observation 4a6a11df-ca4c-4699-bf0e-f502cff3b5e8 · inbound

Image2Sim: Scaling Embodied Navigation via Generative Neural Simulator cites this paper.

Image2Sim: Scaling Embodied Navigation via Generative Neural Simulator NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLM

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-07-11T02:27:49.205932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-11T02:17:51.026130Z digest=sha256:929ae073c57894f178aabd9f59936f7b46aaaf0a8dcf87031ed92ad3958f015e

Observation aaa4326f-1004-4280-8c81-e317ec89bf70 · inbound

NavVerse: Benchmarking Indoor-to-Outdoor Embodied Navigation in Continuous Robot Simulation cites this paper.

NavVerse: Benchmarking Indoor-to-Outdoor Embodied Navigation in Continuous Robot Simulation NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLM

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-01T12:04:42.908469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:04:42.908469Z digest=sha256:1551ecd98d8ce2aee58a5293d92aa9110c0706027efde0a0d56f4f87cc4a0a5e

Observation bf8f2bfc-cdf9-4e74-85b9-26d8a94918e5 · inbound

Goal-oriented Navigation Instruction Generation with Tour Video Priors cites this paper.

Goal-oriented Navigation Instruction Generation with Tour Video Priors NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLM

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-14T04:34:35.239654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:34:35.239654Z digest=sha256:1f958cab71fc55c0978964a93cb321223bb160a5453d99cac5f83de8386d8014