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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 22 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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:48:11.717660Z digest=sha256:4c1a12c7a282c3bb0f8e04cd4ad6a38c68903d4a860f1ceebc255702dd72594b

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:ad83d93e525978408710dfb84882887380b763d4191d149c3dc32495dcfa202b

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

Resolution
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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:d79803560c66d332079989e8b00943b938a47fd7d274d1ed68f97d1f8af6adc0

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
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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:f92c0feed705ef092690553c0332b444b2edb22c38573b2af8ba9e86ffe6c463

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:48:11.740575Z digest=sha256:3f5241dd088b1089de4291e33a78dc9095ccc5bb61073db6674b88fb7d9c36d0

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=sha256:7234ebd82ee35f96ba1f0e9c42b4a7411dace578fe174e3a41f2c579b331f7c6

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:48:11.750795Z digest=sha256:e3d5e0821d592f87dbc035eafed894daeb3b2ab8103abc860f85b797ab2d1b82

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:c2a98084d05cb305c5a7087f90ac73da3dd594ae18c97e2e3cd6a212af5fd3be

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:48:11.761699Z digest=sha256:9402c67c75ae2b3fcf3ca4ce84d17fe743e15ea8e5640e7aceeed23d018d6216

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

Resolution
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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=sha256:919ee73f71e5138da7480a7bf4acf0bbb27f9fe0fd96b7f3281dfd0da29b8629

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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source=pdf_text observed=2026-08-15T19:48:11.772954Z digest=sha256:fa9f9084f3148f0090abea2449d061204e7a7f303836a80c1023a41e3ae0240b

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:ef389b46b4e2dabf961a84a90962f3b6e03a5569d4241d0453afe33289ca815e

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:a3af54fee146fe4f242c7d5b87ccda53a86cd01d6afad875122c7acdc7122048

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:48:11.790347Z digest=sha256:04b4d04276b149be2ff74538c18a9e2ca66446a700236e5ca333423869a832e4

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:48:11.795436Z digest=sha256:798aba9183b31665c60f26d39527dd695b9bd5072403fe44252a8c051baf93d0

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:48:11.800465Z digest=sha256:49e11f9f1c048e67d2920012b573d42322442c347f9872b10763f248e5a50d68

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:48:11.806160Z digest=sha256:457d3c3caaead9aa5956847b59db3236f6addcd140e025272a57edcf4390731f

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:c24f16e0963ccfa3de0ec614a12a6a2b3caf91a6f4c83f8d332eb68a70513c71

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:c587644a1f3139d4481187b292c4d805468b467af7459cfc5dfc7b135631facb

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:48:11.819964Z digest=sha256:591fa81ca58ae8136cd701f6a815f34e1b37cde183784526fb0390de76776dad

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:48:11.823660Z digest=sha256:7ef1d0cd0e6863844f3263da9dedb5c7387b84081321cbae812ff015a22174a0

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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no resolver link, observed 2026-08-15T19:48:11.827461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:48:11.827461Z digest=sha256:d2afb157925468ec68d61afd18d674b2f1399b78d7f087b8e626de0dc41c71d7

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:48:11.831369Z digest=sha256:0a27faa9ad68e9b2a29a414caeb4faa7d1dfecf4fb807472b38542e6fa9f9295

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:48:11.835164Z digest=sha256:510adfc6d7ae0a309c591e5a1157b0004a1225856f606f92626417fa2456c580

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:48:11.838808Z digest=sha256:ea5ef16d9e36ec92053ed93c41d8995faa0fd8766b8bd9d096d6e04e73bc7bb9

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=sha256:90f3ebff50087582e02d5a0434e426f250c890dc48722e6c3612c0476a3f3362

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:48:11.846334Z digest=sha256:05d79e41815543e14eab7d7e05822cb6cfc793312e6d9a1f0fdff4218ef681c4

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T19:48:11.850957Z digest=sha256:7ad2782f9a193409be287690559ced07f2418e9bf8f07658b5c8224e065c0f28

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:d4955eddc223219359656634bb8f7bfb198202a0b7ae787fcc2f08df270d8439

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=sha256:6d3d1ebd4d317d6e0774ac83b76973f17cfe9f1d32e0c6cac28508cb1d8f9ae4

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

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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=sha256:22087d5b3c1bcbb1c95c00f0be1f888ccc7762f1fe097b6c9c3745169c947644

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T11:22:06.239906Z digest=sha256:d77411182f7c8d6b6586343fa7c2c194c915795966589ac66b981911bb07a746

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T21:04:00.821473Z digest=sha256:335d8c815da7e781b2e9010b4a5af5788b281102312f34c3d81123ec24ec20eb

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

Reference 27

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no resolver link, observed 2026-08-02T01:55:00.771704Z

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source=arxiv_source observed=2026-08-02T01:55:00.771704Z digest=sha256:baf15a440234f434505e4bb700541f331a189d596d16a7aec1aa5c512dbb5b84