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Paper Citation Record · LEDGER

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

As of 22 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 2026-08-22T06:32:14.747728+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:f45dbb383ad2248b22ca4aca110be705c16c1c5f33687d1c4844a0574ddad904

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=sha256:5665a713d20cfcbf95922955dc9b3896cf9aaf0e0ebc4908e9e1e49665ad3558

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:d94efbd68f7c24ab133bd3257e098f874b7f0e0d6c47dbe75c6681342ea43c2d

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=sha256:103a6c35c157b2daec2d23a6048f6086f002cf749b388030b4dc4142e1741257

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=sha256:13fb706241a346000688570baabc31bfcace729d6e8893831fa61344faa3c173

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:a5934b5bed25f2ddc77ae6d126b2cca45cd7570667963c544256abd281b5255b

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:aeae18bcd7b2e557611c4f0da4b78feaf54514a820e57ddf5b175c5627c82bf3

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:a1999fe02951fcc9e4c79aff55151bb0f514a7b408fd5d3c7e999c4731eb5ad8

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=sha256:252f49c97cb99af1836a052d87f0451474d27c66498ac63443eff5da5a54e644

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:e12f4e1ee42ff8244d2d6d599f58756db93fd90c7006b701139b6f5d72fffade

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=sha256:7aeb256773fbe174fe5c75a99d835e31b9767a38857dcaed5101d5562d1e2a8b

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=sha256:09eb52e3ecebe03d6d27cdf8e68698fdac73ef0dc850976414e51d4e2a8d8bfd

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=sha256:745ac0640ed82defbdb7a0e5eefdaf21d0f94c929f141b2e0af8182896f3564c

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:b68832a19e9c7e3c89063a0affac132c55eb21fb5244b1260ea0a6f15e982b49

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:f251730eb6d7cf3618980b6a15702f2ff6440435c36f09273b43e00576bc790e

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=sha256:673f7de1bfd69dabd78feaff2448267e1e37a50a5c9e9634a3f7637e12b15b8d

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:aebb2d3cf9dad64ccc588ae669ead14d154430cb8c280b575a3255356cb7f15d

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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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=sha256:02dc4d498ee7c5df31f5b8fafec4f2ad48ffd2a75454fc86cdfa0d929306bcb8

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=sha256:5949a0b0db8c8f4b98c01c832f9c5d192dfa645c61614e3c39564a585bcc9f89

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:dedc54d16a1cb0519ab2ed1a05d903a75470b06799aa0fd6f3cac6f71b69bc82

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=sha256:09d35ff96c99d23e57206650458ea16792ca46dbecff834afe8e5c8fc9075d05

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:d227b69dace3d12ff5c2e38ad419084b8dfe9e941f07c51a95bb86a01b30e305

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:dcdce533fdb705be88d80594ff60e875f14ea5651215ab7ddb74bfd33aef253f

Pith citing papers

No inbound Pith citation observations are available.