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Paper Citation Record · LEDGER

ZONDA: Zero-shot Object Navigation with Dynamic Avoidance in Multi-floor Environments

As of 9 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2607.21025.

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

pith.paper-citation-record.v1
2607.21025 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T08:44:36.116486Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dccf6dca-f273-4fde-a2d7-0b7e133a28b6 · outbound

This paper cites Efficient robotic object search via hiem: Hierar- chical policy learning with intrinsic-extrinsic modeling,.

ZONDA: Zero-shot Object Navigation with Dynamic Avoidance in Multi-floor Environments Efficient robotic object search via hiem: Hierar- chical policy learning with intrinsic-extrinsic modeling,

Reference 1

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source=pdf_text observed=2026-08-01T08:44:33.703014Z digest=sha256:a82015936f8518d0b1a3286b46cb136a70b4031b737c79afe7b16e6425290f40

Observation df561cdc-5aeb-4a70-b525-1eed116d6236 · outbound

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

ZONDA: Zero-shot Object Navigation with Dynamic Avoidance in Multi-floor Environments Vlfm: Vision- language frontier maps for zero-shot semantic navigation,

Reference 2

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source=pdf_text observed=2026-08-01T08:44:33.790660Z digest=sha256:a7ef425e67df69b1373901b60ee987084a41181fbfdfdbe4afa1d563bf4568a4

Observation c7ca7f36-51bd-47c9-8fed-31057fe3cb3b · outbound

This paper cites Apex- nav: An adaptive exploration strategy for zero-shot object navigation with target-centric semantic fusion,.

ZONDA: Zero-shot Object Navigation with Dynamic Avoidance in Multi-floor Environments Apex- nav: An adaptive exploration strategy for zero-shot object navigation with target-centric semantic fusion,

Reference 3

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source=pdf_text observed=2026-08-01T08:44:33.900778Z digest=sha256:cb46c9f42736d66f1db598c66941c0c7af800d5cdb05205e0f92a0373372947c

Observation 2c03c1a6-8e67-4cf7-886d-0d136fd44470 · outbound

This paper cites Stairway to success: An online floor-aware zero- shot object-goal navigation framework via llm-driven coarse-to-fine exploration,.

ZONDA: Zero-shot Object Navigation with Dynamic Avoidance in Multi-floor Environments Stairway to success: An online floor-aware zero- shot object-goal navigation framework via llm-driven coarse-to-fine exploration,

Reference 4

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source=pdf_text observed=2026-08-01T08:44:34.035044Z digest=sha256:801fa129bc53e0103978560201d3460815a17b0d0e5afb12c79ce2def9ed5de6

Observation c0cfe018-6e0c-483f-91db-91d4ba232c1d · outbound

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

ZONDA: Zero-shot Object Navigation with Dynamic Avoidance in Multi-floor Environments Matterport3D: Learning from RGB-D Data in Indoor Environments

Reference 5

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source=pdf_text observed=2026-08-01T08:44:34.161811Z digest=sha256:cb66358af8e6181e0d1996471ee6182b134cda93219fed8523902e2bdf29c070

Observation 2b4df0fa-7937-429c-a7ac-02d1293b0be2 · outbound

This paper cites Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI.

ZONDA: Zero-shot Object Navigation with Dynamic Avoidance in Multi-floor Environments Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI

Reference 6

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source=pdf_text observed=2026-08-01T08:44:34.333307Z digest=sha256:bf8a5354cc44a8f459f83435bde1619cdd40064254a8ea6cb3657d17ab6c2c46

Observation 65a3a3d3-15fc-48a2-81f7-32d6fe96de26 · outbound

This paper cites OVRL-V2: A simple state-of-art baseline for ImageNav and ObjectNav.

ZONDA: Zero-shot Object Navigation with Dynamic Avoidance in Multi-floor Environments OVRL-V2: A simple state-of-art baseline for ImageNav and ObjectNav

Reference 7

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source=pdf_text observed=2026-08-01T08:44:34.426389Z digest=sha256:0da7350d2b4019aff1fabf617ca6a1c1a3d5f1c1ca639137ad207a7a7cfb3a59

Observation fa3e7dda-5ec5-40f9-997e-e94fb3ca1b11 · outbound

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

ZONDA: Zero-shot Object Navigation with Dynamic Avoidance in Multi-floor Environments ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects

Reference 8

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source=pdf_text observed=2026-08-01T08:44:34.507598Z digest=sha256:0fde8abe87f419031c3715bd0ac96afc4be89e8ce9e1dd7629526986a98d2b00

Observation 358c7e46-9577-468b-891c-b75679bf3620 · outbound

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

ZONDA: Zero-shot Object Navigation with Dynamic Avoidance in Multi-floor Environments Zson: Zero-shot object-goal navigation using multimodal goal embed- dings,

Reference 9

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source=pdf_text observed=2026-08-01T08:44:34.589881Z digest=sha256:e62585879aea8d1efa877b6b52d1b83de03c5558673d0124d00a696a83947c66

Observation 74a6ba0f-9a13-49c2-978c-c9702216b562 · outbound

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

ZONDA: Zero-shot Object Navigation with Dynamic Avoidance in Multi-floor Environments Learning transferable visual models from natural language supervision,

Reference 10

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source=pdf_text observed=2026-08-01T08:44:34.670126Z digest=sha256:e077e01a22a2aa8dc3904342cd62ee1db3cbaa1dda2c17305fa79e1545c67996

Observation 666e145f-483d-4c92-b467-33592b301802 · outbound

This paper cites Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,.

ZONDA: Zero-shot Object Navigation with Dynamic Avoidance in Multi-floor Environments Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,

Reference 11

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source=pdf_text observed=2026-08-01T08:44:34.739980Z digest=sha256:594218f0d0e022fc19637b4dced446c59c91f660e2b65576095240f6068dcaae

Observation dd3c8066-5cba-4831-b833-de3a09d5c3c1 · outbound

This paper cites Aggressive driving with model predictive path integral control,.

ZONDA: Zero-shot Object Navigation with Dynamic Avoidance in Multi-floor Environments Aggressive driving with model predictive path integral control,

Reference 12

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source=pdf_text observed=2026-08-01T08:44:34.823915Z digest=sha256:af9d7120c12c1da37350c3446d7b1b21895aba34bfd92a1211c2b626291bff5d

Observation 2c01e731-5384-47ee-9d2a-8658bfb69faa · outbound

This paper cites Habitat: A platform for embodied ai research,.

ZONDA: Zero-shot Object Navigation with Dynamic Avoidance in Multi-floor Environments Habitat: A platform for embodied ai research,

Reference 13

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source=pdf_text observed=2026-08-01T08:44:34.900519Z digest=sha256:3f316598d49bbe058325b0973c1df6724f0197ed384383d50ac1703ef22b8729

Observation 038936e5-cdf7-4140-aa99-b0be24f302c5 · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with transformers,.

ZONDA: Zero-shot Object Navigation with Dynamic Avoidance in Multi-floor Environments Segformer: Simple and efficient design for semantic segmentation with transformers,

Reference 14

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source=pdf_text observed=2026-08-01T08:44:34.979482Z digest=sha256:cb43141bb7945d949176b4ba3e07e8bbf448ded98beb0f0ecd49ebc65070f7b3

Observation c319435e-3db7-45f0-88c5-fa5d5f8fe48c · outbound

This paper cites Sam 2: Segment anything in images and videos,.

ZONDA: Zero-shot Object Navigation with Dynamic Avoidance in Multi-floor Environments Sam 2: Segment anything in images and videos,

Reference 15

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source=pdf_text observed=2026-08-01T08:44:35.062286Z digest=sha256:f8cbd2c90352a2195faf85d1a12ff7c6c1309dd9bfd8b5ea52f44261bb848570

Observation 8b11706e-58c5-4a83-b80b-e36528170e7f · outbound

This paper cites Detrs beat yolos on real-time object detection,.

ZONDA: Zero-shot Object Navigation with Dynamic Avoidance in Multi-floor Environments Detrs beat yolos on real-time object detection,

Reference 16

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source=pdf_text observed=2026-08-01T08:44:35.129472Z digest=sha256:e53189c33e4a7685bb83a778edba54256093783594827d26cadd5c91a61c72bc

Observation 0c7be707-b0cb-4660-ad28-30fc13b54508 · outbound

This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection,.

ZONDA: Zero-shot Object Navigation with Dynamic Avoidance in Multi-floor Environments Grounding dino: Marrying dino with grounded pre-training for open-set object detection,

Reference 17

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source=pdf_text observed=2026-08-01T08:44:35.211391Z digest=sha256:981fe5577e63489cab66bc472134464e23aaf44465d3c601c933f2dba8563dfe

Observation b9228d2c-6c3f-4631-87a6-d6fd0cf439e2 · outbound

This paper cites Scaling open-vocabulary object detection,.

ZONDA: Zero-shot Object Navigation with Dynamic Avoidance in Multi-floor Environments Scaling open-vocabulary object detection,

Reference 18

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source=pdf_text observed=2026-08-01T08:44:35.286261Z digest=sha256:2497af9196f0eb41643e6ea3b020149ba9eb4ae786c1461bdbfa8d9a9d0554ad

Observation fafd23b1-85f2-4d1a-92fb-db5e99b5e213 · outbound

This paper cites Qwen3-VL Technical Report.

ZONDA: Zero-shot Object Navigation with Dynamic Avoidance in Multi-floor Environments Qwen3-VL Technical Report

Reference 19

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source=pdf_text observed=2026-08-01T08:44:35.438278Z digest=sha256:3655f1ce70cdb940761e68e7e2ae9a0e174232544e9cd6536572cd816314568d

Observation a39cd7c1-2e04-4b61-8a04-070328719517 · outbound

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

ZONDA: Zero-shot Object Navigation with Dynamic Avoidance in Multi-floor Environments Poni: Potential functions for objectgoal navigation with interaction-free learning,

Reference 20

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source=pdf_text observed=2026-08-01T08:44:35.520389Z digest=sha256:e419573b96ec3478fb43ca75edc81bb49c3f684c34eb759b5ac69ef1b296c4e6

Observation 542f3ece-5a97-41cd-96fc-4b6a75fc9d3c · outbound

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

ZONDA: Zero-shot Object Navigation with Dynamic Avoidance in Multi-floor Environments Object goal navigation using goal-oriented semantic exploration,

Reference 21

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source=pdf_text observed=2026-08-01T08:44:35.688531Z digest=sha256:e4a74796e54859ff40429a9f191ccd3e479e8d4cc75e6df074c666225779e5ff

Observation 2f6a2772-520b-4079-bcac-a0c73f6c0883 · outbound

This paper cites Pirlnav: Pretraining with imitation and rl finetuning for objectnav,.

ZONDA: Zero-shot Object Navigation with Dynamic Avoidance in Multi-floor Environments Pirlnav: Pretraining with imitation and rl finetuning for objectnav,

Reference 22

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source=pdf_text observed=2026-08-01T08:44:35.797877Z digest=sha256:90ce6a60e1c48b254d73b960b856356cf40859a3c1001d8f0ac3d59a8a64eab6

Observation 8998ce68-2204-4b56-b35e-b0484479dbad · outbound

This paper cites Sg-nav: Online 3d scene graph prompting for llm-based zero-shot object navigation,.

ZONDA: Zero-shot Object Navigation with Dynamic Avoidance in Multi-floor Environments Sg-nav: Online 3d scene graph prompting for llm-based zero-shot object navigation,

Reference 23

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source=pdf_text observed=2026-08-01T08:44:35.953933Z digest=sha256:12b1724bcb160f82811e796b1feef251e6f707e128c9bee468cfaf66a2e14968

Observation 27ea9f37-baf4-47f7-8606-32f1152b0c57 · outbound

This paper cites Openfmnav: Towards open-set zero-shot object navigation via vision-language foundation models,.

ZONDA: Zero-shot Object Navigation with Dynamic Avoidance in Multi-floor Environments Openfmnav: Towards open-set zero-shot object navigation via vision-language foundation models,

Reference 24

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source=pdf_text observed=2026-08-01T08:44:36.116486Z digest=sha256:89429595be17b71f17591a78931bc034668b2dbfb4d74275b355ad632d700144

Pith citing papers

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