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Paper Citation Record · LEDGER

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding

As of 14 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 1 inbound Pith citation observation for arXiv:2508.05021.

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

pith.paper-citation-record.v1
2508.05021 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:40:01.159908Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

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

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:37:24.686687Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

  • verified exact1
  • verified fuzzy21
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 83d54e5e-578e-4684-8619-1b8f4eb52199 · outbound

This paper cites Talk2nav: Long- range vision-and-language navigation with dual attention and spatial memory,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Talk2nav: Long- range vision-and-language navigation with dual attention and spatial memory,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:01.992781Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T23:40:01.046359Z digest=sha256:b0fc730564f712b6d1b080f25a35d0e3802501c08d0a7938d02a6cd2ae4dba82

Observation 69b44021-1307-4b40-a851-509dfe2d6c94 · outbound

This paper cites Lm-nav: Robotic navigation with large pre-trained models of language, vision, and action,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Lm-nav: Robotic navigation with large pre-trained models of language, vision, and action,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:01.049349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:01.049349Z digest=sha256:9c9721e4d1d08987a4dc46782d8afb786d17880caa99ea029664608b62314c0a

Observation 6a1708c9-027f-43d7-9d95-15d7091cdd4f · outbound

This paper cites Visual language maps for robot navigation,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Visual language maps for robot navigation,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:01.980172Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T23:40:01.051928Z digest=sha256:4fe28e1f55901ea72b579442e96db8ae002ff41727a55dcf999f7fb1af54dd0b

Observation bfdeaa8b-90b8-442a-85f7-15890671526f · outbound

This paper cites Object goal navigation using goal-oriented semantic exploration,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Object goal navigation using goal-oriented semantic exploration,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:01.972241Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T23:40:01.054815Z digest=sha256:1f61f9cc361e8ee246683b1f4b327a4706e951bbc6779359ee3284266bd8a721

Observation b54f5233-93f5-4f2a-9101-565be4e02b49 · outbound

This paper cites L3mvn: Leveraging large language models for visual target navigation,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding L3mvn: Leveraging large language models for visual target navigation,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:01.057693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:01.057693Z digest=sha256:003f5825e02ef67c288bd557fd22406c84ca146d1a73402129dbd979eac8d534

Observation a5cab409-ecb7-4dfe-a26a-360ed40387af · outbound

This paper cites Vlfm: Vision- language frontier maps for zero-shot semantic navigation,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Vlfm: Vision- language frontier maps for zero-shot semantic navigation,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:01.060354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:01.060354Z digest=sha256:4148f8ae3ebb448210c81232643319f91213b72edd453cdd31acd00499b2a1a3

Observation ac1b84cc-5680-4bbb-9e24-6fb765418d8d · outbound

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

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Learning transferable visual models from natural language supervision,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:01.063032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:01.063032Z digest=sha256:3c699538854df7ccf69996dd0e21bd8a2c79bccf629a1f621f283890c101115f

Observation a1516fad-5518-4939-9b91-e4ec6039f6e3 · outbound

This paper cites Llm-grounder: Open-vocabulary 3d visual grounding with large language model as an agent,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Llm-grounder: Open-vocabulary 3d visual grounding with large language model as an agent,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:01.950139Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T23:40:01.065371Z digest=sha256:b2c32f934f4870edf44ced79b53ac07e6ca8be8009e52c381d5d60d1ad8cef47

Observation 6d8baa84-33e8-4bc2-b47f-58c56461bbce · outbound

This paper cites Cows on pasture: Baselines and benchmarks for language-driven zero-shot object navigation,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Cows on pasture: Baselines and benchmarks for language-driven zero-shot object navigation,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:01.067794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:01.067794Z digest=sha256:0ea37941f4cd33fda32714a3135276a96059c2230e424c6966aede664412140f

Observation 5b0e5a8a-4ba5-4085-a5dc-479711bd9875 · outbound

This paper cites When and why vision-language models behave like bags-of-words, and what to do about it?.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding When and why vision-language models behave like bags-of-words, and what to do about it?

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:01.070516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:01.070516Z digest=sha256:2db3781e7c976b2d217e6f16aec1dbccb1e07a1ce3877557c5d22a1c494cb408

Observation b98c8bdd-5fe1-4864-b672-e4a42e095bc7 · outbound

This paper cites Dd-ppo: Learning near-perfect pointgoal navigators from 2.5 billion frames,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Dd-ppo: Learning near-perfect pointgoal navigators from 2.5 billion frames,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:01.937452Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T23:40:01.073115Z digest=sha256:dd1d0997350354be24a13c9ca27e977b4203cc57d45a92e55603949fb743ba26

Observation 8ffa0888-38d9-4a10-8a67-6879d4e813bc · outbound

This paper cites Learning to explore using active neural slam,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Learning to explore using active neural slam,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:01.928513Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T23:40:01.075632Z digest=sha256:ff2a375895caab3dde812b31c8aa7c4e25df7df008827e0f2dd421827de82e83

Observation b82e31a9-7f66-499f-9411-55aa82b6602d · outbound

This paper cites Ro- bustnav: Towards benchmarking robustness in embodied navigation,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Ro- bustnav: Towards benchmarking robustness in embodied navigation,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:01.919969Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T23:40:01.078404Z digest=sha256:1063d5fc8fb6d3ce26c26d9a2765dde86dab6b4799ac2ffd55c3b508df9d6d49

Observation 5a912e17-5053-4049-aaf3-bef8afab2af3 · outbound

This paper cites Splitnet: Sim2sim and task2task transfer for embodied visual navigation,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Splitnet: Sim2sim and task2task transfer for embodied visual navigation,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:01.912228Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T23:40:01.080643Z digest=sha256:e44ba3ea8783d91acf565305f0e90a10518672b4b7bd0e81466e54d84cc7137d

Observation 6b0fa9d6-dd38-4887-9605-ba0fc28b405c · outbound

This paper cites No rl, no simulation: Learning to navigate without nav- igating,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding No rl, no simulation: Learning to navigate without nav- igating,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:01.904459Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T23:40:01.083030Z digest=sha256:39429b9357720891306509ed69b7628573bb86c0da2cfefdc00498850b5ebb8c

Observation f7c15e73-a39d-40e3-bf56-874edbf32328 · outbound

This paper cites Minos: Multimodal indoor simulator for navigation in complex environments,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Minos: Multimodal indoor simulator for navigation in complex environments,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:01.896621Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T23:40:01.085463Z digest=sha256:41c6d2d08bd11cf2c717442b2795f1c977dd0a9c96d75525a263b7f2ac656b24

Observation 586cbdf2-3042-458d-8163-81080e94f15d · outbound

This paper cites Gibson env: Real-world perception for embodied agents,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Gibson env: Real-world perception for embodied agents,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:01.087768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:01.087768Z digest=sha256:838773084fefe2aa0bdcd8dc2a1d913f9320778ddf728136a233007ca4529d6d

Observation 0057d636-9eeb-465a-909e-78d26991fa20 · outbound

This paper cites Chalet: Cornell house agent learning environment.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Chalet: Cornell house agent learning environment

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:01.888677Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T23:40:01.089878Z digest=sha256:e4b26e8c2a18402d0d51e56ae1ea864fe352e92d650e51e9b0c3bed339dcf592

Observation b89f5156-556a-40c1-ae8c-8255523f2ce7 · outbound

This paper cites Memory- augmented reinforcement learning for image-goal navigation,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Memory- augmented reinforcement learning for image-goal navigation,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:01.092042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:01.092042Z digest=sha256:e58a14675ea188e3c85e89a12e31002baef9edce329e5ad100616a33782362e4

Observation 6ae5c74f-8f4c-4f13-9d3f-9619ca4e02b3 · outbound

This paper cites Poni: Potential functions for objectgoal navigation with interaction-free learning,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Poni: Potential functions for objectgoal navigation with interaction-free learning,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:01.094397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:01.094397Z digest=sha256:78291b1e9e26ee419d702f936c7d5fd0f129104a7ae47d3f7f9b56ae58da492d

Observation ad0975c3-9e9b-4eed-8352-f3e3153a6361 · outbound

This paper cites Target-driven visual navigation in indoor scenes using deep reinforcement learning,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Target-driven visual navigation in indoor scenes using deep reinforcement learning,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:01.096884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:01.096884Z digest=sha256:6259fa513cba92fd6c879907c9b61ffb21a542d6aa7422290a179aa27b5c3540

Observation edfb79c7-5928-44f8-9a2c-69a09f319f6c · outbound

This paper cites Zero experience required: Plug & play modular transfer learning for semantic visual navigation,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Zero experience required: Plug & play modular transfer learning for semantic visual navigation,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:01.874589Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T23:40:01.099294Z digest=sha256:2137c965afe4cc9a7cf9e542f0e397141c4a89e129b02df11146985a1779fbf3

Observation 479fd7c4-34b8-4179-8a7c-da53c13ce4b8 · outbound

This paper cites Semantic visual navigation by watching youtube videos,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Semantic visual navigation by watching youtube videos,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:01.866447Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T23:40:01.101531Z digest=sha256:b361309bacdd73bd75351fef922b9dea6443a1bc969b799d49b3eda4ac3a2fdb

Observation d2de5374-a922-4ebb-b488-1a9442c6e06a · outbound

This paper cites Sscnav: Confidence- aware semantic scene completion for visual semantic navigation,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Sscnav: Confidence- aware semantic scene completion for visual semantic navigation,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:01.103976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:01.103976Z digest=sha256:dc4f4dab4c4f71e4f91db8e0dc16d191f990e664c0eed1b3c372ba8240d11cc3

Observation 0826d344-2b0d-4d7b-9b88-121649b7df19 · outbound

This paper cites Multion: Benchmarking semantic map memory using multi-object navigation,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Multion: Benchmarking semantic map memory using multi-object navigation,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:01.858279Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T23:40:01.106102Z digest=sha256:09f70c0b2b19e3cb034ea9d5c6d0736e3de8905f1b98dc1cdfc44959c6026fc1

Observation 68191033-c5e6-46de-acc6-c5ce3353fa5f · outbound

This paper cites Learning to learn how to learn: Self-adaptive visual navigation using meta-learning,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Learning to learn how to learn: Self-adaptive visual navigation using meta-learning,

Reference 26

Resolution
verified exact
raw_fallback, observed 2026-08-05T23:40:01.418199Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T23:40:01.108618Z digest=sha256:a5685de08427ae0413106641637478e2cd3cd5286143cfd30a724ef985db8b53

Observation a5234587-08fd-40b6-b378-c937b5be0a6f · outbound

This paper cites Visual semantic navigation using scene priors,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Visual semantic navigation using scene priors,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:01.850369Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T23:40:01.110901Z digest=sha256:232a4fa3414ca1f2300ef425fc400a319377b586116e47c355f92160e3eddf3b

Observation 12314f60-f4c5-4ae1-beab-3837eac8111e · outbound

This paper cites Simple but effective: Clip embeddings for embodied ai,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Simple but effective: Clip embeddings for embodied ai,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:01.842429Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T23:40:01.113224Z digest=sha256:8ae1072c74f84804ee4f69681a0177a2c4afd9a53a42668eea923a4dc8e2a5f2

Observation 98ae194a-0c35-4ebd-9758-837ee0ed877b · outbound

This paper cites Zson: Zero-shot object-goal navigation using multimodal goal embed- dings,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Zson: Zero-shot object-goal navigation using multimodal goal embed- dings,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:01.115781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:01.115781Z digest=sha256:4d0109f9423912de5417474028e6d3a080f32064c8a4f118b27cb671b22bbcc4

Observation 7849a391-fc18-47c6-a96f-2129a03f0b07 · outbound

This paper cites Esc: Exploration with soft commonsense constraints for zero-shot object navigation,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Esc: Exploration with soft commonsense constraints for zero-shot object navigation,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:01.118082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:01.118082Z digest=sha256:46980d5245189c795bbd6150d4003b7180ee29052e85626e4a84c7f2a040a74d

Observation 498e352b-dae6-4be6-a646-d78274e31823 · outbound

This paper cites VoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Model.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding VoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Model

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:01.120371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:01.120371Z digest=sha256:a26d39bfeb680a79fc4d8efd3912e41d9b8b64ae8f94292e7e4838dcc74e0a9a

Observation 3ee2d02e-0482-47ce-b440-caba9e2a26cd · outbound

This paper cites Navigation with large language models: Semantic guesswork as a heuristic for planning,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Navigation with large language models: Semantic guesswork as a heuristic for planning,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:01.824536Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T23:40:01.123110Z digest=sha256:2b1565ce2915d23d650e385ccad746ac36708b67a9220d4ba40f580af9b5e450

Observation 2b954114-2bb3-4280-a595-81053d630d3c · outbound

This paper cites CogVLM: Visual Expert for Pretrained Language Models.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding CogVLM: Visual Expert for Pretrained Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:01.125493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:01.125493Z digest=sha256:2b5b7d349eebbe58ab37aaf108d6a2f41790cce931a529ea375e8d87543f1470

Observation 413fe7a0-0e3f-4a7f-82d2-55860536bbee · outbound

This paper cites LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:01.128100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:01.128100Z digest=sha256:a18a1e45060c7cf729d79739459f9d1a468d161c6232dbcfa642e8fe592bf052

Observation bc47131f-a485-432f-8f1d-fed1043fc4a0 · outbound

This paper cites Semantic Abstraction: Open-World 3D Scene Understanding from 2D Vision-Language Models.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Semantic Abstraction: Open-World 3D Scene Understanding from 2D Vision-Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:01.130587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:01.130587Z digest=sha256:a8231a2aeaa52afa2a7a22a1d443aa84c2064092df531020672430b307fba9c5

Observation 313ade53-12e7-48cd-ae67-035fa7f4fa20 · outbound

This paper cites 3d concept learning and reasoning from multi-view images,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding 3d concept learning and reasoning from multi-view images,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:01.816346Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T23:40:01.133535Z digest=sha256:d9a266648796531c59bf2ee32979020c7f255afd17dbb56d148d06a9e6944fe0

Observation 9d32030c-11a6-4cca-b938-b93d1ed9a82b · outbound

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

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:01.135900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:01.135900Z digest=sha256:43f908ed8bfbba6b9e0f493e288083fb5085046ae29f43d1b94fc929da5755f6

Observation a411d1be-4738-4584-b58c-16849f94a388 · outbound

This paper cites Conceptgraphs: Open-vocabulary 3d scene graphs for perception and planning,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Conceptgraphs: Open-vocabulary 3d scene graphs for perception and planning,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:01.808333Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T23:40:01.138501Z digest=sha256:b87a9bfda6476c67b938db4d49b46ff4e4e6df9ee2abf011cb9b41804caf6d83

Observation fe8cc0bf-fc79-41f6-ad84-89a5b3b8c394 · outbound

This paper cites DEAP: Evolutionary algorithms made easy,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding DEAP: Evolutionary algorithms made easy,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:01.800260Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T23:40:01.140801Z digest=sha256:c45fefbf1095a2c7f6bac5da87a06cb3f20a06a7c3786c26f3bafb888d83ddf7

Observation 896b5d3a-3701-4f0c-8f55-7a88228bf726 · outbound

This paper cites VLN-Game: Vision-Language Equilibrium Search for Zero-Shot Semantic Navigation.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding VLN-Game: Vision-Language Equilibrium Search for Zero-Shot Semantic Navigation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:01.143060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:01.143060Z digest=sha256:8b07941ae543242bca20fa436e214680f7e5294e574e0727bc3e6332dab5c7bb

Observation 8a2299d1-0495-48b1-8197-e984484b6930 · outbound

This paper cites A fast marching level set method for monotonically advancing fronts.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding A fast marching level set method for monotonically advancing fronts

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:01.792222Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T23:40:01.145543Z digest=sha256:a02440809247c0b72c9a89b7149a7a42025b63b4ffdd496f87ac8a406f4fdc2d

Observation fd33b300-0917-4c48-ba20-eeb5c1d6df9a · outbound

This paper cites Habitat 2.0: Training home assistants to rearrange their habitat,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Habitat 2.0: Training home assistants to rearrange their habitat,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:01.147901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:01.147901Z digest=sha256:6fda2566486884c26e0bac4fa79e4510ce1fa98ca6532ce8af54771132e6f320

Observation 35d33e75-2ba1-445d-b8d8-febd990b6a2d · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:01.150160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:01.150160Z digest=sha256:f38ae62768f467452155c3c4842d94418baca15058861f2f138ee5966576df54

Observation 04e83c2c-24f0-4edc-892e-c9e3c0ce58c0 · outbound

This paper cites Segment Anything.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Segment Anything

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:01.152561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:01.152561Z digest=sha256:db83c1c441a0b836b6bf4380acdf835af41e0b42f478cb66dd1e2613cf2f3dab

Observation bc5f9ca0-c0af-4f27-8567-4e588b75e3ae · outbound

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

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Goat-bench: A benchmark for multi-modal lifelong navigation,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:01.155186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:01.155186Z digest=sha256:b590a45616da5d006b12a89ad45e9e7112b6b59dcaf279d027fa8a89b52bd994

Observation b5660eed-42a6-4d4a-ae45-5309d2a73508 · outbound

This paper cites Llm2clip: Powerful language model unlock richer visual representation,.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding Llm2clip: Powerful language model unlock richer visual representation,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:01.157598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:01.157598Z digest=sha256:442d5431beb0eb793c49622edea93dacc3b33c03ffc13355965c6d187b90b2df

Observation 3989a9b2-8c0c-4cce-aa58-9d28d75c5a70 · outbound

This paper cites On Evaluation of Embodied Navigation Agents.

MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding On Evaluation of Embodied Navigation Agents

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:01.159908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:01.159908Z digest=sha256:fdf65f18a0899e682728114aacce3402bc7e212a5cf0b0643f2a1ba98a7e9ef7

Pith citing papers

Observation 5b2075b2-7afb-4bbf-81f9-9e1fe2414d00 · inbound

QuASH: Using Natural-Language Heuristics to Query Visual-Language Robotic Maps cites this paper.

QuASH: Using Natural-Language Heuristics to Query Visual-Language Robotic Maps MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-04T09:37:24.686687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:37:24.686687Z digest=sha256:b8017b1ee22978f5e5f39af7c84695afac42b25760b21f4badbb3f0ee6bbcea3