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Paper Citation Record · LEDGER

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory

As of 17 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 4 inbound Pith citation observations for arXiv:2506.15096.

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

pith.paper-citation-record.v1
2506.15096 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:48:11.860023Z

measured 34 of 34 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T01:55:00.771704Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:39:17.017972Z

Reference resolution

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy14
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 291cac0c-17cd-4be0-946a-8d9eb79569c9 · outbound

This paper cites Navgpt: Explicit rea- soning in vision-and-language navigation with large language models.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory Navgpt: Explicit rea- soning in vision-and-language navigation with large language models

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:48:12.308815Z

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=2026-08-15T19:48:11.717660Z digest=sha256:d893d694aa3d5ea235154c6fa7c8f363ba6ec7b40be9518b0fb8a8d68c352def

Observation 45ddb03b-496e-48b1-b6f0-bbfa7d0087e8 · outbound

This paper cites Perceive, Reflect, and Plan: Designing LLM Agent for Goal-Directed City Navigation without Instructions.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory Perceive, Reflect, and Plan: Designing LLM Agent for Goal-Directed City Navigation without Instructions

Reference 2

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no resolver link, observed 2026-08-15T19:48:11.723141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:48:11.723141Z digest=sha256:fe67d88e11083295cd4d7bd3c0e5be94d28aed612cde9d522164ed090f91f1db

Observation 0a74f920-6520-4816-976d-1510e0a5838a · outbound

This paper cites GPT-4 Technical Report.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory GPT-4 Technical Report

Reference 3

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no resolver link, observed 2026-08-15T19:48:11.728682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:48:11.728682Z digest=sha256:1f5c40fc8d05214e4aa858e279104cb566e3908f56b1319917073088d3b74398

Observation 622799b1-9c8a-42d1-8195-f67b8ea99219 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T19:48:11.735138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:48:11.735138Z digest=sha256:80ea05a61710a633c33c1703ace91019bf3139ef184717e0f2ccff75f55623a8

Observation c1324693-a5e3-48c7-9a3e-d7935c7145bf · outbound

This paper cites Ving: Learning open-world navigation with visual goals.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory Ving: Learning open-world navigation with visual goals

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:48:12.296364Z

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=2026-08-15T19:48:11.740575Z digest=sha256:8af231417b0e4afd2ae88a9a96ebfc5cd6b942afd231a5a0abdd39acb3e54593

Observation de238526-ad5d-44c9-a04b-1362eca3c6b3 · outbound

This paper cites Rapid Exploration for Open-World Navigation with Latent Goal Models.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory Rapid Exploration for Open-World Navigation with Latent Goal Models

Reference 6

Resolution
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no resolver link, observed 2026-08-15T19:48:11.745717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:48:11.745717Z digest=sha256:6bf616b4328e46463d9b52843276aeac0655537908f7bcd7e4162a645db12012

Observation 23d5a744-4348-465e-aa53-6338ca0a6892 · outbound

This paper cites Soat: A scene-and object-aware transformer for vision-and-language navigation.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory Soat: A scene-and object-aware transformer for vision-and-language navigation

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:48:12.284687Z

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=2026-08-15T19:48:11.750795Z digest=sha256:38c34f8495b914385f3ed48d6c2e132e988beea224442476638f37dd8b0ddb47

Observation 11e67005-b18c-4429-821c-bac1fe34bc1a · outbound

This paper cites ViNT: A Foundation Model for Visual Navigation.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory ViNT: A Foundation Model for Visual Navigation

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:48:11.755803Z digest=sha256:43e92f3621951fb8abe5de7b9971e369888258444358d88eba81977775e104c0

Observation 0a71ab59-916b-4f46-8aeb-d8c1f287b0f6 · outbound

This paper cites Gnm: A general navigation model to drive any robot.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory Gnm: A general navigation model to drive any robot

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:48:12.271795Z

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=2026-08-15T19:48:11.761699Z digest=sha256:924d942c3f70578c83aee120713e5804c0bbef5a170789fa2ce8e825290fe3d0

Observation f5229068-1eb8-4c02-8e03-6f5602f71cfb · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory OpenVLA: An Open-Source Vision-Language-Action Model

Reference 10

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no resolver link, observed 2026-08-15T19:48:11.767423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:48:11.767423Z digest=sha256:24687b44cb5591297fae384bdf56db6e4ea800314e387dddfa4ac3eff7bf499b

Observation b3e9fa15-34cb-4cae-8048-dccf2cd155c6 · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory RT-1: Robotics Transformer for Real-World Control at Scale

Reference 11

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no resolver link, observed 2026-08-15T19:48:11.772954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:48:11.772954Z digest=sha256:560f743d53406255894fc71174f8c016a4822204b6ffdb9df90b62c44b8719cc

Observation 89971bbf-d9e9-4981-ac4c-50acecb844d7 · outbound

This paper cites NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation

Reference 12

Resolution
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no resolver link, observed 2026-08-15T19:48:11.778523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:48:11.778523Z digest=sha256:5d798cfe1df7a5cec1407a9fcc88ddd5ae3e830ebe74e5b05fe1cc68d95cadfa

Observation 598224b6-42f0-4c7a-81d7-4efecd310df9 · outbound

This paper cites 3D-VLA: A 3D Vision-Language-Action Generative World Model.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory 3D-VLA: A 3D Vision-Language-Action Generative World Model

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T19:48:11.784305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:48:11.784305Z digest=sha256:d5b5fb12c34b94d5b35f59f0da36345bfe6878c70bea83e2541223731d573e0f

Observation a484fe12-9f1d-4723-9fb0-0e1795290038 · outbound

This paper cites Discuss before moving: Visual language navigation via multi-expert discussions.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory Discuss before moving: Visual language navigation via multi-expert discussions

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:48:12.257753Z

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=2026-08-15T19:48:11.790347Z digest=sha256:ed6c31ccd07cb80fd71d186ef67dc73bead246a1c58c7c3fd1dca79f31118817

Observation f5f1298c-2751-4d34-8feb-f726c3f74b54 · outbound

This paper cites L3mvn: Lever- aging large language models for visual target navigation.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory L3mvn: Lever- aging large language models for visual target navigation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:48:12.243226Z

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=2026-08-15T19:48:11.795436Z digest=sha256:1f0e4a4a69a65fce9e43474a95571ba2e481e59fb38bee2de0f3d990a3ad66e3

Observation 89a708d4-824f-49b9-b2a6-773181da590a · outbound

This paper cites Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V

Reference 16

Resolution
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no resolver link, observed 2026-08-15T19:48:11.800465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:48:11.800465Z digest=sha256:e7c873221f488ccaa9b0f0b14b257c1bb4d3be92d28d5297f7a316f8c1fdf4f6

Observation 8e004a67-ed1d-4d02-a52f-c541d5c6a0f2 · outbound

This paper cites What does clip know about a red circle? visual prompt engineering for vlms.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory What does clip know about a red circle? visual prompt engineering for vlms

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:48:12.229282Z

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=2026-08-15T19:48:11.806160Z digest=sha256:39369873c6b47317b5256ef579b5e90dc55e3f014e63b8b735e042ea12ea281c

Observation 7b6a019f-9107-4a46-8b67-74a7316ad964 · outbound

This paper cites PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs

Reference 18

Resolution
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no resolver link, observed 2026-08-15T19:48:11.811469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:48:11.811469Z digest=sha256:1ac13efd8b914e81eb0d02bceb8e1f5921cdb4478be0d9da744b45b6b4c2e390

Observation 44e33eeb-1c6f-4d68-865e-22e2fb88370b · outbound

This paper cites End-to-End Navigation with Vision Language Models: Transforming Spatial Reasoning into Question-Answering.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory End-to-End Navigation with Vision Language Models: Transforming Spatial Reasoning into Question-Answering

Reference 19

Resolution
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no resolver link, observed 2026-08-15T19:48:11.816049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:48:11.816049Z digest=sha256:c4c05cc12feb1b4a5e3540709efdfe3c347e636ebb31e9cbb0c616cabd596d36

Observation ad94a155-fef8-4a86-8ecd-bf0717b657e4 · outbound

This paper cites Simultaneous localiza- tion and mapping: part I.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory Simultaneous localiza- tion and mapping: part I

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:48:12.215147Z

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=2026-08-15T19:48:11.819964Z digest=sha256:fdc22b6d4a89b0b3709cf0b0c33ef8f4180c7bd38420cf01d3ccfe2bcbb1c4d9

Observation 48246270-163a-46da-827c-b1be97a7477a · outbound

This paper cites On-line semantic mapping.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory On-line semantic mapping

Reference 21

Resolution
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raw_fallback, observed 2026-08-15T19:48:12.200503Z

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=2026-08-15T19:48:11.823660Z digest=sha256:fbfcca97124a8c5aaad46b3293b2c452941372add13deeaf0929cc7c57d57710

Observation 27ffc02c-07ed-4c90-bf84-d3eb0d776aaa · outbound

This paper cites SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:48:11.827461Z digest=sha256:3c2c729ddbdf969d2d17295be1ba36eef86d1a2c45f69d56792ae541343d9160

Observation d3a171f1-f2d1-428b-a8ed-a63f380701da · outbound

This paper cites Mapping high-level semantic regions in indoor environments with- out object recognition.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory Mapping high-level semantic regions in indoor environments with- out object recognition

Reference 23

Resolution
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raw_fallback, observed 2026-08-15T19:48:12.184763Z

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=2026-08-15T19:48:11.831369Z digest=sha256:2f519c2010380aaff71e5992c48de214803e85c59c95d33cc5b57455ff8a3ff3

Observation f640369b-23de-4bf5-92d1-47f6b79a064d · outbound

This paper cites Place categorization and semantic mapping on a mobile robot.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory Place categorization and semantic mapping on a mobile robot

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:48:12.169750Z

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=2026-08-15T19:48:11.835164Z digest=sha256:d7b9c5c68494b0a6e63fd6232c0bccc0a0dfec7898b679694a86a4b65178e059

Observation cea3d9dd-2da6-4dca-a432-2bc9b21f3050 · outbound

This paper cites Text2Map: From navigational instructions to graph-based indoor map representations using LLMs.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory Text2Map: From navigational instructions to graph-based indoor map representations using LLMs

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:48:12.155236Z

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=2026-08-15T19:48:11.838808Z digest=sha256:d2eb7a3b458d571efb841c344fa139016f38d8b536782be96a5d763dc8b2ae0f

Observation 4fc9d691-58c8-42c8-9eeb-309c58c036c7 · outbound

This paper cites ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T19:48:11.842408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:48:11.842408Z digest=sha256:a8ef7f190abe8bcaa4eb02a657ee4371c761896d5958b6135e23fbff80acf069

Observation 3e7618d6-fe77-43cb-a54e-1c101c68b485 · outbound

This paper cites Goat-bench: A benchmark for multi-modal lifelong navigation.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory Goat-bench: A benchmark for multi-modal lifelong navigation

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:48:12.141099Z

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=2026-08-15T19:48:11.846334Z digest=sha256:f0f98d46c7123f68ab948bb307f77e3262ef5588e00e3001d63a001812ca5c49

Observation 2b77ae84-de8c-46d7-af94-3b9e5fef98b0 · outbound

This paper cites Habitat-matterport 3d semantics dataset.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory Habitat-matterport 3d semantics dataset

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:48:12.126513Z

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=2026-08-15T19:48:11.850957Z digest=sha256:66f1cd735f7c1bb0dc1cd39c21e0ab236f4e465297d581fcf0373969cb339e78

Observation dede192d-b36a-4e04-990b-45ed308c8d44 · outbound

This paper cites Goat: Go to any thing,.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory Goat: Go to any thing,

Reference 29

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no resolver link, observed 2026-08-15T19:48:11.855420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:48:11.855420Z digest=sha256:3b275b20eee0463714d3e2afbe66a169ec53858b8ea556eacd2ec528889055fa

Observation 75393ee7-2daf-4843-84d5-996cc8a13e92 · outbound

This paper cites Fast Segment Anything.

DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory Fast Segment Anything

Reference 30

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no resolver link, observed 2026-08-15T19:48:11.860023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:48:11.860023Z digest=sha256:175d69299685c56ba724ea6d6137ece22c7915a9b64be42150e203a1eb3ad5c4

Pith citing papers

Observation c84cfb44-9898-436b-a7c7-2561aa3ffd8d · inbound

Quantum orientation entanglement analysis of the interpolating helicity states between the instant form dynamics and the light-front dynamics cites this paper.

Quantum orientation entanglement analysis of the interpolating helicity states between the instant form dynamics and the light-front dynamics DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory

Reference 5

Resolution
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no resolver link, observed 2026-07-13T22:46:37.452699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T22:46:37.452699Z digest=sha256:c9d1a4ea338d24b1c234057d091614528b928aad0cdca6ea84f97ec4f0b1ab81

Observation e71a6bc8-2d2e-4a32-b7c6-a02f1dc53e57 · inbound

EvoMemNav: Efficient Self-Evolving Fine-Grained Memory for Zero-Shot Embodied Navigation cites this paper.

EvoMemNav: Efficient Self-Evolving Fine-Grained Memory for Zero-Shot Embodied Navigation DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:56:28.437092Z

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=2026-06-28T11:22:06.239906Z digest=sha256:2aa2189069e22daebb11ec626ad938ea65bc506d2940feef070ffb3eec181eb3

Observation 031bc705-0e06-49e7-9e23-a05cd8598b1c · inbound

EffiNav: Fusing Depth and Vision-Language for Efficient Object Goal Navigation cites this paper.

EffiNav: Fusing Depth and Vision-Language for Efficient Object Goal Navigation DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:39:17.019788Z

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=2026-06-26T21:04:00.821473Z digest=sha256:fd50c60213c03dc420057afdf4c49d4a9e3a6c0a57d2c4bbe324c97c1e5d4257

Observation 2eb36929-8f71-4b79-b07e-42aad0b150cc · inbound

VTM-Nav: Harnessing Cross-Episode Experience for Object-Goal Navigation with Hierarchical Visual-Topological Memory cites this paper.

VTM-Nav: Harnessing Cross-Episode Experience for Object-Goal Navigation with Hierarchical Visual-Topological Memory DyNaVLM: Zero-Shot Vision-Language Navigation System with Dynamic Viewpoints and Self-Refining Graph Memory

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source=arxiv_source observed=2026-08-02T01:55:00.771704Z digest=sha256:0e9be22f424a1bc0c0efdc75bef14be17f95db419b9437852e36ca7d9f0279f4