Paper Citation Record · LEDGER

AnyTraverse: An off-road traversability framework with VLM and human operator in the loop

As of 14 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2506.16826.

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

pith.paper-citation-record.v1
2506.16826 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:41:34.368043Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T18:56:53.437051Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

verified exact1
verified fuzzy7
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ec30106-6112-4748-94b9-89723eab1e73 · outbound

This paper cites Ga-nav: Efficient terrain segmentation for robot navigation in unstructured out- door environments.

AnyTraverse: An off-road traversability framework with VLM and human operator in the loop Ga-nav: Efficient terrain segmentation for robot navigation in unstructured out- door environments

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:41:35.382796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 086f1857-726a-4fc0-aa50-6d31e6b25cfd · outbound

This paper cites RELLIS-3D Dataset: Data, Benchmarks and Analysis.

AnyTraverse: An off-road traversability framework with VLM and human operator in the loop RELLIS-3D Dataset: Data, Benchmarks and Analysis

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T23:41:33.674832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db6789a1-09cf-4e3d-8dfc-50c7b95fad1a · outbound

This paper cites Language-driven Semantic Segmentation.

AnyTraverse: An off-road traversability framework with VLM and human operator in the loop Language-driven Semantic Segmentation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:41:33.740085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89f1ba4a-20d1-4d06-aa31-8bf9b85589dc · outbound

This paper cites Image segmentation using text and image prompts.

AnyTraverse: An off-road traversability framework with VLM and human operator in the loop Image segmentation using text and image prompts

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:41:35.212704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c6ad4a0f-a465-4a31-a4cf-7d46eabb6b9a · outbound

This paper cites Learning transferable visual models from natural language supervision.

AnyTraverse: An off-road traversability framework with VLM and human operator in the loop Learning transferable visual models from natural language supervision

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T23:41:33.821089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96de34cd-b515-4d5e-b78f-df8025fdd234 · outbound

This paper cites Denseclip: Language- guided dense prediction with context-aware prompting.

AnyTraverse: An off-road traversability framework with VLM and human operator in the loop Denseclip: Language- guided dense prediction with context-aware prompting

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:41:35.086584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7e06cb28-264b-40a1-a7f8-f76a25f9b3a7 · outbound

This paper cites CoNVOI: Context-aware Navigation using Vision Language Models in Outdoor and Indoor Environments.

AnyTraverse: An off-road traversability framework with VLM and human operator in the loop CoNVOI: Context-aware Navigation using Vision Language Models in Outdoor and Indoor Environments

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T23:41:33.985170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe667980-0f6f-42cc-92ce-ec5ec46d1e2e · outbound

This paper cites VL-TGS: Trajectory Generation and Selection using Vision Language Models in Mapless Outdoor Environments.

AnyTraverse: An off-road traversability framework with VLM and human operator in the loop VL-TGS: Trajectory Generation and Selection using Vision Language Models in Mapless Outdoor Environments

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T23:41:34.029083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d323e651-7705-45b1-93a4-f980e497e5a4 · outbound

This paper cites Deep multispectral semantic scene understanding of forested environments using multimodal fusion.

AnyTraverse: An off-road traversability framework with VLM and human operator in the loop Deep multispectral semantic scene understanding of forested environments using multimodal fusion

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:41:34.970978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9cbc5150-5d7c-4b0e-b405-cea4ef12a123 · outbound

This paper cites OFFSEG: A Semantic Segmentation Framework For Off-Road Driving.

AnyTraverse: An off-road traversability framework with VLM and human operator in the loop OFFSEG: A Semantic Segmentation Framework For Off-Road Driving

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:41:34.487460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3ff94d77-1bec-401e-a01a-5af5cec7f394 · outbound

This paper cites Deep high-resolution representation learning for visual recognition.

AnyTraverse: An off-road traversability framework with VLM and human operator in the loop Deep high-resolution representation learning for visual recognition

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:41:34.848585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7103458a-5cab-4221-83ea-1ba1a10ecda5 · outbound

This paper cites BehAV: Behavioral Rule Guided Autonomy Using VLMs for Robot Navigation in Outdoor Scenes.

AnyTraverse: An off-road traversability framework with VLM and human operator in the loop BehAV: Behavioral Rule Guided Autonomy Using VLMs for Robot Navigation in Outdoor Scenes

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:41:34.269867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7ac21eb-097f-49de-a06d-99477d96f472 · outbound

This paper cites Wigness, Sungmin Eum, John G.

AnyTraverse: An off-road traversability framework with VLM and human operator in the loop Wigness, Sungmin Eum, John G

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:41:34.744068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1be17c97-bc32-4839-8dac-c0903deb8740 · outbound

This paper cites Bisenet v2: Bilateral network with guided aggregation for real-time semantic segmentation.

AnyTraverse: An off-road traversability framework with VLM and human operator in the loop Bisenet v2: Bilateral network with guided aggregation for real-time semantic segmentation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:41:34.643297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 59d484fe-6354-4e88-a7d8-bc82f1175eb2 · inbound

EmbodiedDiffusion: End-to-End Traversability-Guided Visual Diffusion for Heterogeneous Robot Navigation cites this paper.

EmbodiedDiffusion: End-to-End Traversability-Guided Visual Diffusion for Heterogeneous Robot Navigation AnyTraverse: An off-road traversability framework with VLM and human operator in the loop

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T18:56:53.437051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.