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Paper Citation Record · LEDGER

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

As of 22 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 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

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=sha256:6ec4f74106ecb11c1888624d09317c9d04a7c04a9bbd396aeb99e9fd0faaa290

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:a44b7c230870c9cd499cfe2be5e66b0b17b880b9b88355aacf158d4bbf3110a8

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=sha256:32b5ccd15c128fb143811f43fd3c8d0b03d6ec8ea450773b8c8841621de9d11a

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=sha256:3b28e92b682f926158e944c5eadbe63cf12ab82890fe38e62bbcc49edee0c4e8

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=sha256:5d6fbf9c2baf4cb89ec3d70959cd06ed9f5bf9250e0f8e16365f1fb56c9b98d9

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:f8857b9cb3c2381afe66e58a1f06f968fda03b4703e38b95114f75dac5cc0621

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:e1ff9926f65d89c41eadf4cc636efca7b7061818c364ebf055bf15d23dba149c

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:df7bf75b3f4324d5f908764626037a88a8dd0d80ebd559d5b2291578141ae440

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=sha256:07a24bc64f7410fcfb32d20a88181e9d15b8c1d320aceb0c5120391778a99123

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=sha256:5c4c62d2a5a10d00a0a2b479b27296b35ec2db60e4896238238807b4fab6b686

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:af858d32edffe322445507d69ebc709f175d43e84eb5ff9ced09af8c399d56ca

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=sha256:91ce3f82701d0845e6ccd54a1540f7bc91d637872849438a578fbeaffb9f50a6

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:b7baf4d983c87fbc0a5888d78b553aa4a248b29f11a265505537825fedaeea9e

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:ae2e17320a1e7b5180bbbdaaf793386e4f187c8fc502ed91aa4a6a791faec3b0

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=sha256:1b64b57ec613bc223ee4346de7cfff35bd016446c4deae7daeef41d78270b8dd

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=sha256:6a03085f57673dee1ab2c248c904d92e6d7bf3b2f758f22f0cc1c020c871cf97

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=sha256:0070abd4a16242e57f9f900fa7ae2035b5f57c4834a9068bec717aac47b56249

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:cdc7dad457d387bebe25360550343e76430f38372e5e8c3d82926ef507b937c8

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=sha256:6f72d3232d78ffc217b09bae8cbd53829b361c27c8b6f4895f2d05b0fa3e8ad0

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:f4f4adab71b99fd19a28eeb8fcc49f4f7e44b3b9dce2ce50502023669e96484d

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=sha256:58b8449aff77a9427de21798f3930fbf150a554bf8d515073cffd8f9fbde3741

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=sha256:3cb76b05beb5b1ecf96a03c3f938f871f2c6d46cd8f948fc1ebf0b500a6f72f6

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=sha256:443c50bf05d57b931a95ba05640766f04cd3d76b5054f54bb2776ad346a2def9

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:d1be27f93f40d446c89985aae5fb1145950f443e77c20942a6c5ecba55a247b5

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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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=2026-07-08T02:41:24.989404Z digest=sha256:fdf7c554b9bce7402907b976a325d10e9da584545cc7409308163e111b43b579

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=sha256:5392b10b2fb20202e3e3d2d28ab11b2c83194a3207d4d8f2abc5a516e42007bd