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Paper Citation Record · LEDGER

Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance

As of 20 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 2 inbound Pith citation observations for arXiv:2512.11173.

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

pith.paper-citation-record.v1
2512.11173 v4

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T16:59:20.277130Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T16:00:02.584798Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T02:44:27.774988Z

Reference resolution

25 of 25 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 35bf1d3a-72f6-4718-887c-59142c807dc5 · outbound

This paper cites Mobi-π: Mobilizing your robot learning policy,.

Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance Mobi-π: Mobilizing your robot learning policy,

Reference 1

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source=pdf_text observed=2026-08-03T16:59:18.422511Z digest=sha256:7e2da904a283a816bf8b8458f2b6ff45e380ddc9c4c4ec6e6ac3c2a418c74273

Observation d5898c4e-c6b5-487c-ba29-b3f7e789d1c6 · outbound

This paper cites PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators.

Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators

Reference 2

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source=pdf_text observed=2026-08-03T16:59:18.522659Z digest=sha256:cd383725baba1a6bb2e569b0392fa4e4ae7501614e33908cd422a9951f0e7c82

Observation b51a9292-c456-4517-ab6a-4649c9d40941 · outbound

This paper cites GOAT: GO to Any Thing.

Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance GOAT: GO to Any Thing

Reference 3

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source=pdf_text observed=2026-08-03T16:59:18.665849Z digest=sha256:0a9e1066f7f4cc2c402cb4c16624e88eda78b035a557f96f5a476e0940cb933e

Observation 06a17797-ec92-4193-831a-d24a041eabec · outbound

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

Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance Vlfm: Vision-language frontier maps for zero- shot semantic navigation,

Reference 4

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source=pdf_text observed=2026-08-03T16:59:18.842821Z digest=sha256:f84b7d7e7485b141c43a06541db908cc335908d958a41d33391c46fdece753ed

Observation 190c305c-b9a0-4a00-9f05-09513e78bd23 · outbound

This paper cites Omninav: A unified framework for prospective exploration and visual-language naviga- tion,.

Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance Omninav: A unified framework for prospective exploration and visual-language naviga- tion,

Reference 5

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source=pdf_text observed=2026-08-03T16:59:18.963020Z digest=sha256:49d78383cdde176f7b0aafe2ac02aa6d3ac6ffd3ffdc18beedafd0dddacea679

Observation 04d2af03-1fb3-41c2-83f4-9c08a03bc62e · outbound

This paper cites Saynav: Grounding large language models for dynamic planning to navigation in new environments,.

Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance Saynav: Grounding large language models for dynamic planning to navigation in new environments,

Reference 6

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source=pdf_text observed=2026-08-03T16:59:19.028743Z digest=sha256:5aa951b6f1148d994a3cbb13707a782fdfe4b74f60221ab78c223414f805119d

Observation ea709cf1-42bf-40ec-a837-3f0fcf29758d · outbound

This paper cites Navigating to objects in the real world,.

Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance Navigating to objects in the real world,

Reference 7

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source=pdf_text observed=2026-08-03T16:59:19.097115Z digest=sha256:ce0e111d245efbe9e9c6ba5287b46e424679e8ff46edea27b14b3da06b1f0ed3

Observation 10370d63-48a7-4442-bde2-f206042a1497 · outbound

This paper cites Yadav et al.,Habitat challenge 2023, https : / / aihabitat.org/challenge/2023/, 2023.

Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance Yadav et al.,Habitat challenge 2023, https : / / aihabitat.org/challenge/2023/, 2023

Reference 8

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source=pdf_text observed=2026-08-03T16:59:19.161264Z digest=sha256:16389c11c1b47282e733999cd26481b806d11674c7d205ccc2f4accdb3ed1440

Observation a3ce668b-2762-408f-96ca-882e85e17c31 · outbound

This paper cites On Evaluation of Embodied Navigation Agents.

Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance On Evaluation of Embodied Navigation Agents

Reference 9

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source=pdf_text observed=2026-08-03T16:59:19.216440Z digest=sha256:9a688d2f2219bb76d5ecd7b402090386424c78af42527abf4ee507d3710612e6

Observation 0f070245-9f1f-4682-acbf-80fe8bc66227 · outbound

This paper cites Spoc: Imitating shortest paths in sim- ulation enables effective navigation and manipulation in the real world,.

Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance Spoc: Imitating shortest paths in sim- ulation enables effective navigation and manipulation in the real world,

Reference 10

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source=pdf_text observed=2026-08-03T16:59:19.309342Z digest=sha256:030febd8cfc9a2cd89081bd567c315a0cc95dcb9a7e72a5a34b2c50a8bba0b49

Observation 06e13b11-b8eb-40cb-8ef1-e52e14a6bd36 · outbound

This paper cites Nerf-ibvs: Visual servo based on nerf for visual localization and navigation,.

Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance Nerf-ibvs: Visual servo based on nerf for visual localization and navigation,

Reference 11

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source=pdf_text observed=2026-08-03T16:59:19.375065Z digest=sha256:cb9631cf5889d54c63dc1b8748a181171c699f880f42e19e9dcc35190cc700f1

Observation aedef510-507f-416b-bf78-93e3bab9e8d1 · outbound

This paper cites Vision-only robot navigation in a neural radiance world,.

Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance Vision-only robot navigation in a neural radiance world,

Reference 12

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source=pdf_text observed=2026-08-03T16:59:19.426433Z digest=sha256:14abd3a4d5b23848d6304e75f580ef95f3382fff6d6b205900b538aa97a1a71e

Observation 3f0aa2e0-bc27-401f-b1b8-4ca66f7617fd · outbound

This paper cites No- mad: Goal masked diffusion policies for navigation and exploration,.

Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance No- mad: Goal masked diffusion policies for navigation and exploration,

Reference 13

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source=pdf_text observed=2026-08-03T16:59:19.484987Z digest=sha256:1598520542f45fb0f2d313007f469d8ddfc60884791a1312c723eac8627f17b8

Observation bb90d888-30df-4173-83cd-4be4808009f9 · outbound

This paper cites Openin: Open-vocabulary instance- oriented navigation in dynamic domestic environments,.

Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance Openin: Open-vocabulary instance- oriented navigation in dynamic domestic environments,

Reference 14

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source=pdf_text observed=2026-08-03T16:59:19.551617Z digest=sha256:a12b479ec869962348511c61bf01c057e5af35f4b3a5a507d781f68691c4fe0b

Observation b22fdb72-bd3c-4593-a1b3-4e05bdc56c80 · outbound

This paper cites MoMa-Pos: An Efficient Object-Kinematic-Aware Base Placement Optimization Framework for Mobile Manipulation.

Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance MoMa-Pos: An Efficient Object-Kinematic-Aware Base Placement Optimization Framework for Mobile Manipulation

Reference 15

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source=pdf_text observed=2026-08-03T16:59:19.600802Z digest=sha256:8fc97c15783bd5b0f2c56c773ea960cc2aa8cb57dcd37e47489ad86f944c0729

Observation 53554cbb-0b5b-4a5c-bf18-7806073c537a · outbound

This paper cites Base Placement Optimization for Coverage Mobile Manipulation Tasks.

Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance Base Placement Optimization for Coverage Mobile Manipulation Tasks

Reference 16

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source=pdf_text observed=2026-08-03T16:59:19.654914Z digest=sha256:98acc272ffb3abb4956a37bb297543c688cfc6679abffbe55487d4428fe56eac

Observation 0bfd02d2-f935-4357-ad8e-155a7bcb386b · outbound

This paper cites Aim my robot: Precision local navi- gation to any object,.

Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance Aim my robot: Precision local navi- gation to any object,

Reference 17

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source=pdf_text observed=2026-08-03T16:59:19.708532Z digest=sha256:2ecaae57e529ff2c0140c8dff14789287949cc73b97c512af531ce2d6a78a770

Observation a373cf50-d25f-4f65-a9b4-1799d68310b9 · outbound

This paper cites MoTo: A Zero-shot Plug-in Interaction-aware Navigation for General Mobile Manipulation.

Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance MoTo: A Zero-shot Plug-in Interaction-aware Navigation for General Mobile Manipulation

Reference 18

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source=pdf_text observed=2026-08-03T16:59:19.792880Z digest=sha256:0dda940875d1570e378a830b7f8a98d99a15310f8d40d24d33d505d40ffbf8f0

Observation b461c513-ca43-46fc-9974-0fd5a013c0cf · outbound

This paper cites Oquab et al.,Dinov2: Learning robust visual fea- tures without supervision, 2023.

Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance Oquab et al.,Dinov2: Learning robust visual fea- tures without supervision, 2023

Reference 19

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source=pdf_text observed=2026-08-03T16:59:19.876971Z digest=sha256:e43d1594695a274120ab0ba68a4ba3a863b68a24579195f53785515a688d257a

Observation 4520f004-167d-4b05-9103-26570802ab4c · outbound

This paper cites Darcet, M.

Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance Darcet, M

Reference 20

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source=pdf_text observed=2026-08-03T16:59:19.945581Z digest=sha256:80c2fef66c48b8dc2dd34d1ff62b7dc249206d61d8a5af14c88e9e69f270e587

Observation 04c1bd3c-509c-499a-aa79-72eaab7b275a · outbound

This paper cites Learning transferable visual mod- els from natural language supervision,.

Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance Learning transferable visual mod- els from natural language supervision,

Reference 21

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source=pdf_text observed=2026-08-03T16:59:20.013316Z digest=sha256:507a8d90fc06ed93ad3b14a1c64d914fde8265a8d67f046e9a667d83d99fd378

Observation 6056ea7f-43a5-4c58-8501-5726afb964ec · outbound

This paper cites Masked autoencoders are scalable vision learners,.

Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance Masked autoencoders are scalable vision learners,

Reference 22

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source=pdf_text observed=2026-08-03T16:59:20.053445Z digest=sha256:9e3620531fbf5c3585c7bfad83d63a52b27196866629c661114e99f168a85019

Observation def0220b-4618-4459-9b54-8eac2851755d · outbound

This paper cites Scaling open-vocabulary object detection,.

Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance Scaling open-vocabulary object detection,

Reference 23

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source=pdf_text observed=2026-08-03T16:59:20.145399Z digest=sha256:4b602cecc48428fa0a303e9532c4c8198cd4a35382ab225e34325dcdae8e47e3

Observation 24fcb39b-7bbc-49ea-a33d-3004df6e7e88 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance SAM 2: Segment Anything in Images and Videos

Reference 24

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source=pdf_text observed=2026-08-03T16:59:20.204769Z digest=sha256:6fa5f8036981a7f65382e9cdd0fe0cacf14649d0945ced5c579f5ed4960f33b9

Observation 7bb2d594-ebc6-4e99-8bbd-737c23673aed · outbound

This paper cites Jose et al.,Dinov2 meets text: A unified framework for image- and pixel-level vision-language alignment, 2024.

Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance Jose et al.,Dinov2 meets text: A unified framework for image- and pixel-level vision-language alignment, 2024

Reference 25

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Pith citing papers

Observation 80de1927-81f1-4b95-a023-a83431b76a73 · inbound

UniLM-Nav: A Unified Framework for Zero-Shot Last-Mile Navigation cites this paper.

UniLM-Nav: A Unified Framework for Zero-Shot Last-Mile Navigation Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance

Reference 36

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-08T02:41:24.989404Z digest=sha256:327a2a2c90e88616b3ff88809517afdcd23d0d5fde1a0f4c5f8f1a6500d3b1c8

Observation 4eaf5180-12b2-440f-be4c-bcb262104ce9 · inbound

UniLM-Nav: A Unified Framework for Zero-Shot Last-Mile Navigation cites this paper.

UniLM-Nav: A Unified Framework for Zero-Shot Last-Mile Navigation Learning Category-level Last-meter Navigation from RGB Demonstrations of a Single-instance

Reference 36

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source=pdf_text observed=2026-07-14T16:00:02.584798Z digest=sha256:f5c0ca1e80bd4f51a6a6486f7f1161e6e4d962223333efb142109810ab84bd3b