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Paper Citation Record · LEDGER

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

As of 22 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 2 inbound Pith citation observations 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 49 of 49 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:46:17.423588Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T04:46:17.919377Z

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

source=pdf_text observed=2026-08-05T23:40:01.046359Z digest=sha256:3c08e6fd128135e49b9012e35fc9f460b0400f9b22aff8ebeebe5ccc23923c46

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=sha256:2689e95ec730ee90b67d1a22ab070fe69468c278c8a08eb36a09cca07c1097d4

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

source=pdf_text observed=2026-08-05T23:40:01.051928Z digest=sha256:6b9f088500577a05ec962f5c5f87aa814840c3c3cf29a8648781e2900e665547

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

source=pdf_text observed=2026-08-05T23:40:01.054815Z digest=sha256:d63e9a9766d600256eef4ec947f9acd11fb9198afe486a8f98140d497ecf9660

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=sha256:521e62db692e118e106b523901d116df655bc0299466b2ad1735a3bd5e8336eb

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:d593f0330d28f4eec711e39a82d569609bae0d244e6091ea03778b48a49c3ccf

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=sha256:449dee480b3d73554f3855341590535ffb341e1763a2d2a0e0030c146e41561e

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

source=pdf_text observed=2026-08-05T23:40:01.065371Z digest=sha256:9352f9c08204e4b480e196a2eee8285118d77fdb1cf1eb4779178600ef725110

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=sha256:9b8812fe8045fdd95632c3032521a7a5599c4351182a70bff8e5c3bd9ed63831

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:b6445984295fa6c70da81b55e06f49c5e4fa7e631e9e0c2cb1f54b148e6ead51

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

source=pdf_text observed=2026-08-05T23:40:01.073115Z digest=sha256:56252a40cbb37b7975236583660dba6e4b146bc024a6dcc886f6bb9a3bddd382

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

source=pdf_text observed=2026-08-05T23:40:01.075632Z digest=sha256:b082c623f6484034105b7d7de52c17e96c1a26adc93798c41d41cf10c7ae17ad

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

source=pdf_text observed=2026-08-05T23:40:01.078404Z digest=sha256:dd12934546f71d4c2ad022963ec89b1a6e289466058f286f6e833acec820a70c

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

source=pdf_text observed=2026-08-05T23:40:01.080643Z digest=sha256:403fdb316a100de4e901a489d4134567ca0abf662c9ec2aa4a88f99cc13bc2d6

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

source=pdf_text observed=2026-08-05T23:40:01.083030Z digest=sha256:50f5bf67c1a104aa186c860c565e31b8078d85d7caff4d86b69f4b804b7ca2c6

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

source=pdf_text observed=2026-08-05T23:40:01.085463Z digest=sha256:ca26408f1284dcfdfb0e68c818e6403f37d41233dcbfa1de9a8c95642e3b0fae

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=sha256:57daab072ed420d64a48bff096c9e613495ebc07e1cacd2fd3339fc5c7b12af7

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

source=pdf_text observed=2026-08-05T23:40:01.089878Z digest=sha256:81cb20350e982a4ada6e7c3e3433edd67d6a25d0c748f45c45070a0cf57b5388

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:da8b70c26f0761d883c80abaa799c67baed025d6ff4dbbc18556858bbe32c606

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:fe48634641a00a94f45a051beaad7e2ec8c0f6a691d91d07e34fa2f83e7e4b49

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=sha256:9bd62ccd34fcf6f7244cd6934a1d1eade2c0ac46073311d615c7e7c99afc26fa

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

source=pdf_text observed=2026-08-05T23:40:01.099294Z digest=sha256:1a33cf016a22ffb7aebc3b45196afd5aa669a9f98a65118f038761d84f4928f2

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

source=pdf_text observed=2026-08-05T23:40:01.101531Z digest=sha256:dc5e8d05cba4e29efaa02c6451d5cad5f5beb110fa1a730e186431977ce2a57d

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:c57a7f8fe1e4add32d5681cc5211d863a639d2d4e0e624117e892c757106b1dc

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

source=pdf_text observed=2026-08-05T23:40:01.106102Z digest=sha256:ad6393427b97c955570eefd0e6f3f79a4667de6adf030405d3b4630312370926

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

source=pdf_text observed=2026-08-05T23:40:01.108618Z digest=sha256:0b4be9eb3b6755d5a99cb2ee6a96c7ecd2acdf3bc4db3cebbbbd1b33068bf2fa

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

source=pdf_text observed=2026-08-05T23:40:01.110901Z digest=sha256:b77bf1e67d66d27dba9b0fb166346ed98c36eb5e92cad8480575fc0af30ef2cc

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

source=pdf_text observed=2026-08-05T23:40:01.113224Z digest=sha256:cbcfaf516d37a7a30155e3b868f1fd9678b093c6615478fdff21fe66d830b3f4

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=sha256:0318822dfb1ed9b1e6c85017fed08a1ce61768f37ed9d3378792059c256c1c7e

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=sha256:808f9a5a394eb2fa4f4a364b7215c6dcafcc4b7cf5d50586170035672bc400f8

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=sha256:22e947dd8a76a698526b25168b968c5f36981d4ed92d49b524cc205ecd9830b3

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

source=pdf_text observed=2026-08-05T23:40:01.123110Z digest=sha256:3f7e26a13f3805d2e3c1fef58a1815835f067f2131ff08f93c32633bca063e61

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:a045d49c1bf3c7e38fae0e5e205401abdc366ef5c657261b9e5ea7ff6fa3d569

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=sha256:4a0b7ac5a2f2e2f4b66256fa83cd78b194108a8d861a376882534fc78775b66c

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=sha256:55c25cd46140f88fd1c352c8eaa8d59ab4aecf4e77be184a6c6f421b2d288857

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

source=pdf_text observed=2026-08-05T23:40:01.133535Z digest=sha256:c5421e8c5912a08ffdc8d566481ec3bbcf131101356a753e232a720270aa3976

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=sha256:476c908123b90bf8568edf4f9fb9f635d651ede74e3cf3612503ba0ab283d52e

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

source=pdf_text observed=2026-08-05T23:40:01.138501Z digest=sha256:fa3f1b4e8ec1dd02ff91f6999342fbc462140ff7ab17a3974b3b4ee0a771c4f0

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

source=pdf_text observed=2026-08-05T23:40:01.140801Z digest=sha256:1fc125b035d7740d89f3effbdeefff5928a6ecb45468fbcdac12d774290b608c

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:dd55bfe5580f3a1f6961d49bf5447475adbb82a1110e99d35b295d0edd4c5d69

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

source=pdf_text observed=2026-08-05T23:40:01.145543Z digest=sha256:59616d6765c146a443f3f206c5a0125bb4adcdb73224d2210ac50944c37719bf

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=sha256:7df51a8f12ea2fbe95d7cbed5144a22a758ab5fa39aa90c239bb8707139c5b42

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:aae77c3ec8450b1ef8df7a1062d1064489e476e385b6c279c7c895fc4561801c

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:c1ada900bc1c79895fd047af6c43def74e0b746faedea7bdc33f9c5befd7b365

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=sha256:0808a70331e5d53e0e50c349bf3494384ce81ed6d79931d0a48a849a335ba13e

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:fb1aa469ba9559b3e0ec5bfb73f15d3eae4dc018844e087e6fe6334b62c28f31

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:d2cf3d7496cc718d278f1c6574fc09be8cfcffb67ebdf4590a782820e6a723fd

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:ae1c5534ea6020f6ae7e46f0a633bc2ffb921429641bb83a9e938d5a38e16cc4

Observation b9491470-0ce7-4b06-af38-7e85ac8766cd · inbound

FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition cites this paper.

FUSE: Active Functional Affordance Grounding through Adaptive Semantic-Geometric Evidence Acquisition MAG-Nav: Language-Driven Object Navigation Leveraging Memory-Reserved Active Grounding

Reference 54

Resolution
metadata mismatch
local_arxiv, observed 2026-08-16T04:46:17.924582Z

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=arxiv_source observed=2026-08-16T04:46:17.423588Z digest=sha256:ca45a9985611fcfc0cd41285e83ab2e0d220bbfffe85e6c893123a3cb1970a73