Paper Citation Record · LEDGER

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments

As of 20 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 4 inbound Pith citation observations for arXiv:2506.23468.

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

pith.paper-citation-record.v1
2506.23468 v2

Coverage vector

measured 86 of 86 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:48:29.816737Z

measured 90 of 90 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T05:05:56.065261Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T15:44:49.430234Z

Reference resolution

86 of 86 outbound references displayed

verified exact1
verified fuzzy59
unresolved25
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6844dbe5-9679-49a8-bc10-f4558754dd79 · outbound

This paper cites BEVBert: Multimodal Map Pre-training for Language-guided Navigation.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments BEVBert: Multimodal Map Pre-training for Language-guided Navigation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:22.838916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8247c70a-d986-4fe8-8b5d-3dcb921cc471 · outbound

This paper cites 1st Place Solutions for RxR-Habitat Vision-and-Language Navigation Competition (CVPR 2022).

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments 1st Place Solutions for RxR-Habitat Vision-and-Language Navigation Competition (CVPR 2022)

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:22.894546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d997bef-53d5-4075-9ba6-8966cecd68a0 · outbound

This paper cites Etpnav: Evolving topo- logical planning for vision-language navigation in continu- ous environments.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Etpnav: Evolving topo- logical planning for vision-language navigation in continu- ous environments

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:22.979942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2d05800-1b23-4689-afe1-4125a8b12a0d · outbound

This paper cites On Evaluation of Embodied Navigation Agents.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments On Evaluation of Embodied Navigation Agents

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:23.023346Z

Source-reported events for the cited work

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Observation a94def36-fecf-4951-80c4-072858dfd9b0 · outbound

This paper cites Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:23.090126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 652175bc-3d6a-432d-837e-26365d491059 · outbound

This paper cites Sim- to-real transfer for vision-and-language navigation.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Sim- to-real transfer for vision-and-language navigation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:23.184982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ae5e0cb-d8b4-4024-a2e4-504c53cf4c3a · outbound

This paper cites Robot-assisted navigation for visually impaired through adaptive impedance and path planning.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Robot-assisted navigation for visually impaired through adaptive impedance and path planning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:23.313120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62c7e772-3985-4a0e-8634-0a245193d520 · outbound

This paper cites The robotslang benchmark: Dialog-guided robot localization and navigation.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments The robotslang benchmark: Dialog-guided robot localization and navigation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:23.369011Z

Source-reported events for the cited work

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Observation e0adab19-15dc-467e-8e2d-35793732868b · outbound

This paper cites Navigation world models.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Navigation world models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:23.437415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22fa1a77-0104-4eab-8d27-3faa0cfc2d98 · outbound

This paper cites Matterport3D: Learning from RGB-D Data in Indoor Environments.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Matterport3D: Learning from RGB-D Data in Indoor Environments

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:23.516539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 134e9cb5-4121-47b9-9fbd-f0e0c2a9f5c4 · outbound

This paper cites Reinforced structured state-evolution for vision-language navigation.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Reinforced structured state-evolution for vision-language navigation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:40.971819Z

Source-reported events for the cited work

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Observation 2414d0a1-5f12-468f-b170-c230a1d6782c · outbound

This paper cites Affordances-Oriented Planning using Foundation Models for Continuous Vision-Language Navigation.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Affordances-Oriented Planning using Foundation Models for Continuous Vision-Language Navigation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:23.684003Z

Source-reported events for the cited work

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Observation dcc70ade-80aa-414e-b2f1-974a1bee4a3f · outbound

This paper cites Topological planning with transformers for vision-and-language navigation.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Topological planning with transformers for vision-and-language navigation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:40.662130Z

Source-reported events for the cited work

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Observation fe5596e7-238f-45f6-9873-1b0e95fb8533 · outbound

This paper cites Li, Mingkui Tan, and Chuang Gan.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Li, Mingkui Tan, and Chuang Gan

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:40.351550Z

Source-reported events for the cited work

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Observation bd6145f8-ef79-49a9-8f3a-5e4d394bf0ce · outbound

This paper cites $A^2$Nav: Action-Aware Zero-Shot Robot Navigation by Exploiting Vision-and-Language Ability of Foundation Models.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments $A^2$Nav: Action-Aware Zero-Shot Robot Navigation by Exploiting Vision-and-Language Ability of Foundation Models

Reference 15

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Source-reported events for the cited work

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Observation 5f2340ea-1be0-4739-a0d1-6840422aa5c6 · outbound

This paper cites Think global, act local: Dual-scale graph transformer for vision-and-language navi- gation.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Think global, act local: Dual-scale graph transformer for vision-and-language navi- gation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:40.129425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 32adf075-a83d-4efd-9797-23527afb1878 · outbound

This paper cites UnitedVLN: Generalizable Gaussian Splatting for Continuous Vision-Language Navigation.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments UnitedVLN: Generalizable Gaussian Splatting for Continuous Vision-Language Navigation

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:48:30.383053Z

Source-reported events for the cited work

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Observation 0468d40a-0aac-4595-8563-55a08e53eddb · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:24.217549Z

Source-reported events for the cited work

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Observation 062e0da3-4c77-4336-a448-e5096203687f · outbound

This paper cites Fast-slow test- time adaptation for online vision-and-language navigation.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Fast-slow test- time adaptation for online vision-and-language navigation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:39.893466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8b6b47b7-c074-480b-94f4-f060cf65ab52 · outbound

This paper cites Cross-modal map learning for vision and language navigation.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Cross-modal map learning for vision and language navigation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:39.704397Z

Source-reported events for the cited work

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Observation 76bdc75e-c61a-4f4d-86c2-2422e6118835 · outbound

This paper cites Note: Robust continual test- time adaptation against temporal correlation.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Note: Robust continual test- time adaptation against temporal correlation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:39.573051Z

Source-reported events for the cited work

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Observation 81465e26-11d9-4be0-aaa3-941fafc6df8a · outbound

This paper cites Recurrent world models facilitate policy evolution.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Recurrent world models facilitate policy evolution

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:39.373160Z

Source-reported events for the cited work

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Observation 7a1d94f6-ce05-45cf-9b4a-da8f3803bc0e · outbound

This paper cites Learning latent dynamics for planning from pixels.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Learning latent dynamics for planning from pixels

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:39.162120Z

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Observation c426819e-53cb-402f-95bf-aa650507ebae · outbound

This paper cites Dream to control: Learning behaviors by la- tent imagination.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Dream to control: Learning behaviors by la- tent imagination

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:38.885526Z

Source-reported events for the cited work

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Observation 0e6697f6-c8ed-42d7-817a-48bb7134649e · outbound

This paper cites Mastering Diverse Domains through World Models.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Mastering Diverse Domains through World Models

Reference 25

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Source-reported events for the cited work

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Observation 33bd8586-ebec-49e2-bda8-7ea783ab4aa9 · outbound

This paper cites Reasoning with Language Model is Planning with World Model.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Reasoning with Language Model is Planning with World Model

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:24.931829Z

Source-reported events for the cited work

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Observation 327af284-5a05-4193-8296-7f2baca2f148 · outbound

This paper cites Deep residual learning for image recognition.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Deep residual learning for image recognition

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:24.977237Z

Source-reported events for the cited work

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Observation 663b4034-48b0-48b1-85a9-fe10e2291d5d · outbound

This paper cites Frequency-enhanced data augmentation for vision-and-language navigation.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Frequency-enhanced data augmentation for vision-and-language navigation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:38.613863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bcd495a4-80e1-4c3c-9b6e-e95fb8be9ca4 · outbound

This paper cites Bridg- ing the gap between learning in discrete and continuous en- vironments for vision-and-language navigation.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Bridg- ing the gap between learning in discrete and continuous en- vironments for vision-and-language navigation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:38.391745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7d00ddc5-7e52-43a7-aa76-a33fa23c402a · outbound

This paper cites Learning navigational visual representations with semantic map super- vision.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Learning navigational visual representations with semantic map super- vision

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:38.143374Z

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Observation 687d6635-794f-44f2-a5ab-1b5a8959c950 · outbound

This paper cites Learning navigational visual representations with semantic map super- vision.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Learning navigational visual representations with semantic map super- vision

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:37.905934Z

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Observation 8239993e-03ef-407f-b7de-5c2a686131dc · outbound

This paper cites Model-based imitation learning for urban driving.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Model-based imitation learning for urban driving

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:37.644305Z

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Observation 48b65aed-c577-49c2-af0f-5bb29c9bbc1e · outbound

This paper cites General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping

Reference 33

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Observation 2c6803eb-cd9b-4c04-9207-f91df401b2cf · outbound

This paper cites Semantically-aware spatio-temporal rea- soning agent for vision-and-language navigation in continu- ous environments.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Semantically-aware spatio-temporal rea- soning agent for vision-and-language navigation in continu- ous environments

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:37.356009Z

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Observation 67a9cf19-89d6-47e6-9063-469cff3ca4db · outbound

This paper cites Semantically-aware spatio-temporal rea- soning agent for vision-and-language navigation in continu- ous environments.

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:37.096167Z

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Observation b4b26c17-fa42-4915-bc54-95690ab67c65 · outbound

This paper cites Sur les fonctions convexes et les in ´egalit´es entre les valeurs moyennes.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Sur les fonctions convexes et les in ´egalit´es entre les valeurs moyennes

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:36.901378Z

Source-reported events for the cited work

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Observation f4ce2090-2571-4c90-ae99-cc744811fdb3 · outbound

This paper cites A new path: Scaling vision- and-language navigation with synthetic instructions and im- itation learning.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments A new path: Scaling vision- and-language navigation with synthetic instructions and im- itation learning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:36.635377Z

Source-reported events for the cited work

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Observation 17486a5a-6508-48c8-905a-1a2f4624596f · outbound

This paper cites Enhancing blind visitor’s autonomy in a science museum using an autonomous navigation robot.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Enhancing blind visitor’s autonomy in a science museum using an autonomous navigation robot

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:36.343318Z

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Observation 4cb71249-2f2e-400b-8240-ba66f27acb9a · outbound

This paper cites Pathdreamer: A world model for indoor navigation.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Pathdreamer: A world model for indoor navigation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:36.118633Z

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Observation e16c8a71-b597-4ccc-b607-4dc7ff03fc78 · outbound

This paper cites Sim-2-sim transfer for vision- and-language navigation in continuous environments.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Sim-2-sim transfer for vision- and-language navigation in continuous environments

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:35.904536Z

Source-reported events for the cited work

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Observation 99879bdb-ea16-45dd-ba5c-22102dd45fc3 · outbound

This paper cites Beyond the nav-graph: Vision-and- language navigation in continuous environments.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Beyond the nav-graph: Vision-and- language navigation in continuous environments

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:35.699192Z

Source-reported events for the cited work

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Observation cd83d487-b0ac-4ba7-9069-cce0e6a81eb0 · outbound

This paper cites Waypoint models for instruction- guided navigation in continuous environments.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Waypoint models for instruction- guided navigation in continuous environments

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:35.569776Z

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Observation d18653d4-0ee1-4992-a813-82385d261be4 · outbound

This paper cites Room-across-room: Multilingual vision- and-language navigation with dense spatiotemporal ground- ing.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Room-across-room: Multilingual vision- and-language navigation with dense spatiotemporal ground- ing

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:35.480696Z

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Observation fb8bedc6-2a8f-47c9-9961-2a9c8b6ac6b4 · outbound

This paper cites Memory- maze: Scenario driven benchmark and visual language nav- igation model for guiding blind people.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Memory- maze: Scenario driven benchmark and visual language nav- igation model for guiding blind people

Reference 44

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Observation 7663fd18-2a1e-409f-b76f-534539484837 · outbound

This paper cites A path towards autonomous machine intelli- gence version 0.9.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments A path towards autonomous machine intelli- gence version 0.9

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:26.551761Z

Source-reported events for the cited work

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Observation b2f891d4-d235-4095-810d-d60d59255797 · outbound

This paper cites Improving vision-and-language navigation by generating future-view image semantics.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Improving vision-and-language navigation by generating future-view image semantics

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:35.339916Z

Source-reported events for the cited work

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Observation 692ad3aa-eae4-476c-a38c-8750bb82ce17 · outbound

This paper cites Panogen: Text-conditioned panoramic environment generation for vision-and-language navigation.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Panogen: Text-conditioned panoramic environment generation for vision-and-language navigation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:35.199561Z

Source-reported events for the cited work

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Observation 756369b3-4e22-4218-a047-1bd21f56b454 · outbound

This paper cites Vida: Homeostatic visual domain adapter for continual test time adaptation.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Vida: Homeostatic visual domain adapter for continual test time adaptation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:35.103816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 62035935-7177-4b71-8151-aca6c6dc1d26 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 49

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Observation d484bfd8-fe5f-4eef-9701-d0510aa25d9e · outbound

This paper cites Decoupled weight decay regularization.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Decoupled weight decay regularization

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:35.010762Z

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Observation 43e12e39-d23e-457a-9ec9-a90cbf0afb0b · outbound

This paper cites Openeqa: Embodied question answering in the era of foun- dation models.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Openeqa: Embodied question answering in the era of foun- dation models

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:34.866264Z

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Observation ecdf9628-16a6-4f65-962d-d89ecc1a54c3 · outbound

This paper cites Driveworld: 4d pre-trained scene understanding via world models for autonomous driving.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Driveworld: 4d pre-trained scene understanding via world models for autonomous driving

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:27.109406Z

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Observation 137c7f23-75b0-4a4f-b53b-f813b609dc67 · outbound

This paper cites Embodiedgpt: Vision-language pre-training via embodied chain of thought.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Embodiedgpt: Vision-language pre-training via embodied chain of thought

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:34.681674Z

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Observation a2ebf214-e861-41d0-b2ee-ba3cf17fcc0e · outbound

This paper cites Towards stable test-time adaptation in dynamic wild world.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Towards stable test-time adaptation in dynamic wild world

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:34.525299Z

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Observation 8f4dece5-715a-41e5-9257-48c1de7b831f · outbound

This paper cites Dreamingv2: Re- inforcement learning with discrete world models without re- construction.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Dreamingv2: Re- inforcement learning with discrete world models without re- construction

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:34.408644Z

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Observation ff51161e-13ba-4af5-b805-33e27a41d81e · outbound

This paper cites Agronav: Autonomous navigation framework for agricul- tural robots and vehicles using semantic segmentation and semantic line detection.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Agronav: Autonomous navigation framework for agricul- tural robots and vehicles using semantic segmentation and semantic line detection

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:34.294342Z

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Observation 1d942554-139c-4a7e-905f-d9de104bfefd · outbound

This paper cites Visual language navi- gation: A survey and open challenges.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Visual language navi- gation: A survey and open challenges

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:34.178168Z

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Observation 3e529199-b2d5-4221-b9e5-fd1bfbdc3a4c · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Pytorch: An imperative style, high-performance deep learning library

Reference 58

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Observation fee49297-4d16-497e-a833-ec45b18ed80f · outbound

This paper cites Recore: Regularized contrastive represen- tation learning of world model.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Recore: Regularized contrastive represen- tation learning of world model

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:33.974033Z

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Observation 90ac3952-0043-474f-9787-0e3d964a25d0 · outbound

This paper cites Reverie: Remote embodied visual referring expres- sion in real indoor environments.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Reverie: Remote embodied visual referring expres- sion in real indoor environments

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:33.813190Z

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Observation 417bc8fc-de8d-4171-9cd2-2b17b118bb99 · outbound

This paper cites Hop+: History-enhanced and order- aware pre-training for vision-and-language navigation.IEEE TPAMI, 45(7):8524–8537, 2023.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Hop+: History-enhanced and order- aware pre-training for vision-and-language navigation.IEEE TPAMI, 45(7):8524–8537, 2023

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:33.635958Z

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Observation 16425093-9021-4324-b938-6dbc45af3fa0 · outbound

This paper cites an unresolved cited work.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:48:33.392709Z

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Observation aa135900-966e-4eb3-a01c-fa8951602c4c · outbound

This paper cites A re- duction of imitation learning and structured prediction to no- regret online learning.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments A re- duction of imitation learning and structured prediction to no- regret online learning

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:33.170224Z

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Observation 16004511-98f3-4a11-b741-eb7c58648781 · outbound

This paper cites Habitat: A plat- form for embodied ai research.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Habitat: A plat- form for embodied ai research

Reference 64

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Observation 6d81a9de-1613-4213-bc71-9f7748760389 · outbound

This paper cites LXMERT: Learning Cross-Modality Encoder Representations from Transformers.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments LXMERT: Learning Cross-Modality Encoder Representations from Transformers

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:28.107508Z

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This paper cites A framework towards ambient assisted living en- hanced by service robots.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments A framework towards ambient assisted living en- hanced by service robots

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:32.934548Z

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Observation 51eec46d-05db-4856-988a-cf7dcd957d32 · outbound

This paper cites Using interoper- ability between mobile robot and knx technology for occu- pancy monitoring in smart home care.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Using interoper- ability between mobile robot and knx technology for occu- pancy monitoring in smart home care

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:32.681566Z

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Observation 842041c1-b552-4256-be89-f9b2353543e2 · outbound

This paper cites Tent: Fully test-time adaptation by entropy minimization.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Tent: Fully test-time adaptation by entropy minimization

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:32.505027Z

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Observation 141036ed-5b23-4e3f-a0f9-3c40e8881e4b · outbound

This paper cites Dreamwalker: Mental planning for continuous vision-language navigation.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Dreamwalker: Mental planning for continuous vision-language navigation

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:32.367901Z

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Observation d6399e6b-e747-4d71-b326-8121da700e8d · outbound

This paper cites Embodiedscan: A holistic multi- modal 3d perception suite towards embodied ai.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Embodiedscan: A holistic multi- modal 3d perception suite towards embodied ai

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:32.214474Z

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Observation b506efcb-0f15-48d1-8b6a-420d4a651461 · outbound

This paper cites Graph-based environment representation for vision-and- language navigation in continuous environments.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Graph-based environment representation for vision-and- language navigation in continuous environments

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:32.072782Z

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Observation 12d46c33-e234-4b71-a877-0ab22ef68848 · outbound

This paper cites Driving into the future: Multiview visual forecasting and planning with world model for au- tonomous driving.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Driving into the future: Multiview visual forecasting and planning with world model for au- tonomous driving

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:31.950289Z

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Observation f1bf21e8-81f6-4e5f-9dbc-f1318a49d76e · outbound

This paper cites Scaling data generation in vision-and-language navigation.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Scaling data generation in vision-and-language navigation

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:31.775716Z

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This paper cites Gridmm: Grid memory map for vision-and- language navigation.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Gridmm: Grid memory map for vision-and- language navigation

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:31.620197Z

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Observation d2049781-371f-4de7-bc25-0190a5f03781 · outbound

This paper cites Sim-to-real transfer via 3d feature fields for vision- and-language navigation.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Sim-to-real transfer via 3d feature fields for vision- and-language navigation

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:31.544698Z

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Observation 68f439d1-fbb8-460c-8ab6-aaf7bd6858c3 · outbound

This paper cites Lookahead exploration with neural radiance representation for continuous vision- language navigation.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Lookahead exploration with neural radiance representation for continuous vision- language navigation

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:31.432453Z

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Observation ed3268a5-e5b9-49f3-878c-9bc521abe318 · outbound

This paper cites Daydreamer: World models for physical robot learning.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Daydreamer: World models for physical robot learning

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:31.331096Z

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Observation 63df4f8d-01bf-4720-a8d0-f85f57ceccea · outbound

This paper cites Vision-language navigation: a survey and tax- onomy.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Vision-language navigation: a survey and tax- onomy

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:31.254586Z

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Observation ba1942ec-f0c2-4ad8-abcb-530b198512e5 · outbound

This paper cites Holodeck: Language guided gen- eration of 3d embodied ai environments.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Holodeck: Language guided gen- eration of 3d embodied ai environments

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:31.155899Z

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Observation 4f86ed74-e7f1-43a6-8b6a-6fad86a3bdc9 · outbound

This paper cites Navid: Video-based vlm plans the next step for vision-and-language navigation.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Navid: Video-based vlm plans the next step for vision-and-language navigation

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:31.071875Z

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Observation d988d08e-5784-4811-abe4-c2ed133f2cc0 · outbound

This paper cites Storm: Efficient stochastic transformer based world models for reinforcement learning.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Storm: Efficient stochastic transformer based world models for reinforcement learning

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:30.984648Z

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Observation 3f811f49-44b8-457a-8a2a-cef5621ff939 · outbound

This paper cites There- fore, we need to infer the latent variables s1:T.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments There- fore, we need to infer the latent variables s1:T

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:30.873315Z

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Observation 92c18f38-f5f2-45f1-890e-892466cbbfd3 · outbound

This paper cites • NE (Navigation Error) measures the average distance (in meter) between the agent’s final position in the pre- dicted trajectory and the target in the ground truth.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments • NE (Navigation Error) measures the average distance (in meter) between the agent’s final position in the pre- dicted trajectory and the target in the ground truth

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:30.787316Z

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Observation 6c6be17a-0df2-4f23-ac73-a559e6351612 · outbound

This paper cites In conventional panoramic VLN-CE frameworks [3, 74], the agent perceives its sur- roundings through multi-view RGB-D panoramas captured at 30-degree intervals at each timestep t.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments In conventional panoramic VLN-CE frameworks [3, 74], the agent perceives its sur- roundings through multi-view RGB-D panoramas captured at 30-degree intervals at each timestep t

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:30.659127Z

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Observation 47390b49-8379-49ba-a347-4fd9c0183908 · outbound

This paper cites Walk out of the room with the bed on your right. Go through the doorway on your left, entering the bathroom.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Walk out of the room with the bed on your right. Go through the doorway on your left, entering the bathroom

Reference 85

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T21:48:30.090088Z

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Observation ba99d0bc-7d22-4d0e-941c-5098d0df3bc3 · outbound

This paper cites Since our world model encodes high-level features instead of raw images, direct visualization of latent states remains non-trivial.

NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments Since our world model encodes high-level features instead of raw images, direct visualization of latent states remains non-trivial

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:30.578501Z

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Pith citing papers

Observation e7b4099c-5ee7-4553-a8a4-b934959aab09 · inbound

Progress-Think: Semantic Progress Reasoning for Vision-Language Navigation cites this paper.

Progress-Think: Semantic Progress Reasoning for Vision-Language Navigation NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:05:15.937992Z

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Observation ca49afd5-45b9-477f-af3f-229f61fb68da · inbound

Dual-Anchoring: Addressing State Drift in Vision-Language Navigation cites this paper.

Dual-Anchoring: Addressing State Drift in Vision-Language Navigation NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments

Reference 134

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:51:45.882823Z

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Observation bb7c7f8d-69fe-4f05-8ea2-54f7b403e448 · inbound

SpaAct: Spatially-Activated Transition Learning with Curriculum Adaptation for Vision-Language Navigation cites this paper.

SpaAct: Spatially-Activated Transition Learning with Curriculum Adaptation for Vision-Language Navigation NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:36:31.349836Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 679c2a5b-dfbb-4492-b407-3d55cc1f1195 · inbound

FutureNav: Unified World-Action Modeling for Vision-and-Language Navigation cites this paper.

FutureNav: Unified World-Action Modeling for Vision-and-Language Navigation NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:44:49.431645Z

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