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Paper Citation Record · LEDGER

Navigation World Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 36 inbound Pith citation observations for arXiv:2412.03572.

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

pith.paper-citation-record.v1
2412.03572 v2

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measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 36 of 36 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 36 of 36 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:06.733730Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T18:47:31.603869Z

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Outbound references

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Pith citing papers

Observation 8d2efc41-4c23-47e5-89e2-3780ca54d986 · inbound

Cosmos World Foundation Model Platform for Physical AI cites this paper.

Cosmos World Foundation Model Platform for Physical AI Navigation World Models

Reference 9

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arxiv_id, observed 2026-05-10T23:38:45.293773Z

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source=pdf_text observed=2026-05-10T23:38:44.933410Z digest=sha256:1497a97a2b3f76461f43beacacbd890bf0fafcc61e5db036d3d907428119d961

Observation 8b1b47dc-b0f3-4eec-ab95-8de47bb42360 · inbound

Toward Embodied AGI: A Review of Embodied AI and the Road Ahead cites this paper.

Toward Embodied AGI: A Review of Embodied AI and the Road Ahead Navigation World Models

Reference 8

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source=arxiv_source observed=2026-08-07T15:42:06.733730Z digest=sha256:f1a28f2090a826b40f41c7e51f4b4037bcc27f448de795ebcc59fe66259d8f3d

Observation e2cc9783-ee96-4740-9e4b-d2cc1419339f · inbound

WorldEval: World Model as Real-World Robot Policies Evaluator cites this paper.

WorldEval: World Model as Real-World Robot Policies Evaluator Navigation World Models

Reference 40

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Observation f445c548-e51c-4eab-91ca-ab830bdc91dd · inbound

Cross from Left to Right Brain: Adaptive Text Dreamer for Vision-and-Language Navigation cites this paper.

Cross from Left to Right Brain: Adaptive Text Dreamer for Vision-and-Language Navigation Navigation World Models

Reference 6

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source=pdf_text observed=2026-08-07T13:52:04.150019Z digest=sha256:d0e8366c672ecf39c655d07331af18d50348f2b40f3072eb32e0c9bf83245263

Observation 3c0004f9-6e8c-4081-8976-cef076cff428 · inbound

VRAG: Learning World Models for Interactive Video Generation cites this paper.

VRAG: Learning World Models for Interactive Video Generation Navigation World Models

Reference 50

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arxiv_id, observed 2026-05-19T12:37:17.550355Z

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Observation 3074162b-1c6e-443e-a4c0-017b08b533f3 · inbound

VRAG: Learning World Models for Interactive Video Generation cites this paper.

VRAG: Learning World Models for Interactive Video Generation Navigation World Models

Reference 50

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source=pdf_text observed=2026-08-07T13:23:23.839460Z digest=sha256:ec777fbfe044b7f51dca1da3f55be99a8141bd1e6722c6df785dfdb3c6f8ffc7

Observation 32b52cf7-64a5-49bd-9201-39b95022b0be · inbound

Camera Trajectory Generation: A Comprehensive Survey of Methods, Metrics, and Future Directions cites this paper.

Camera Trajectory Generation: A Comprehensive Survey of Methods, Metrics, and Future Directions Navigation World Models

Reference 9

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source=pdf_text observed=2026-08-07T11:57:21.609856Z digest=sha256:25d32933d3b168a8c16d07ec935447e82eabafaccd428356d39eb66078a2f0b3

Observation 394da4ca-4f89-42ad-afe6-7ebe1527532e · inbound

Humanoid World Models: Open World Foundation Models for Humanoid Robotics cites this paper.

Humanoid World Models: Open World Foundation Models for Humanoid Robotics Navigation World Models

Reference 2025

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source=pdf_text observed=2026-08-07T11:54:55.361061Z digest=sha256:0b2abba5fd5b9d8d5784abd42358b2d54b6dabcb95e42fc44a4e1cb32b7d0dee

Observation e83a8197-64fa-4e33-aa92-5f7d5e87e593 · inbound

WoMAP: World Models For Embodied Open-Vocabulary Object Localization cites this paper.

WoMAP: World Models For Embodied Open-Vocabulary Object Localization Navigation World Models

Reference 22

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Observation bdf7b2e4-2320-46c7-95fd-99076bd4317f · inbound

CARE: Enhancing Safety of Visual Navigation through Collision Avoidance via Repulsive Estimation cites this paper.

CARE: Enhancing Safety of Visual Navigation through Collision Avoidance via Repulsive Estimation Navigation World Models

Reference 19

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source=pdf_text observed=2026-08-07T11:00:00.675478Z digest=sha256:166cb7f702db4ddc3faff2c91dafa791e56cead294d0a4201351029a891ecf37

Observation 159f71b4-014f-451a-8c86-20a9eb3aab36 · inbound

WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning cites this paper.

WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning Navigation World Models

Reference 2023

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source=pdf_text observed=2026-08-07T10:50:50.504387Z digest=sha256:6502f9257195034d496b7ba2a785a3b19834ae70098e261fc40e46ceee9efc50

Observation 1bc07b26-7e93-4720-863e-caba51c79048 · inbound

DSG-World: Learning a 3D Gaussian World Model from Dual State Videos cites this paper.

DSG-World: Learning a 3D Gaussian World Model from Dual State Videos Navigation World Models

Reference 1

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source=pdf_text observed=2026-08-07T10:26:51.639540Z digest=sha256:f2e60d43c3fa77d2bb79bf8172234293621b6116055fbdc5f736f8d7fb244ee6

Observation 89c2e480-708d-4dc0-ad97-9a57db80fa83 · inbound

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model cites this paper.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Navigation World Models

Reference 2

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source=pdf_text observed=2026-08-07T06:03:29.428070Z digest=sha256:81f71693669852199a491d502248d13bd9d647586e42d419ef25dc9101467fbb

Observation a2c1a2ff-4fa7-4e46-aae9-83da328845b0 · inbound

Efficient Generation of Diverse Cooperative Agents with World Models cites this paper.

Efficient Generation of Diverse Cooperative Agents with World Models Navigation World Models

Reference 1

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source=pdf_text observed=2026-08-07T05:40:18.057495Z digest=sha256:21f5f749ddbaec55efa60980762016fd58c07f6bbbd724087b7fcd7b1eb279d9

Observation d481a0af-1860-47b6-96e3-822e819ad5e6 · inbound

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos cites this paper.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Navigation World Models

Reference 5

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source=pdf_text observed=2026-08-07T04:17:41.920370Z digest=sha256:36fb2e81c0f1ace9234179b7d370cb12989aa901ee1bf4a867fbdc470936eb97

Observation 660da63f-05e8-47fe-9d3d-b2c758460781 · inbound

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy cites this paper.

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy Navigation World Models

Reference 9

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source=pdf_text observed=2026-08-07T04:16:19.213858Z digest=sha256:f873ea09fd68111dcbaefe9143397a6354149126f2e38b69c1dddf90cd529e1d

Observation f1fe1527-26d0-4fb6-92b2-d9b266e8a89c · inbound

WorldVLA: Towards Autoregressive Action World Model cites this paper.

WorldVLA: Towards Autoregressive Action World Model Navigation World Models

Reference 3

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arxiv_id, observed 2026-05-11T22:57:07.980356Z

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source=pdf_text observed=2026-05-11T22:57:07.883617Z digest=sha256:24ce0ecc33f0bb3dc02c25e1e8c99e2d97442865261d80d827cfff3595615057

Observation 35441f44-39e5-412d-8906-cb61abf359ee · inbound

A Survey: Learning Embodied Intelligence from Physical Simulators and World Models cites this paper.

A Survey: Learning Embodied Intelligence from Physical Simulators and World Models Navigation World Models

Reference 265

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source=pdf_text observed=2026-08-06T21:09:15.944357Z digest=sha256:8bff93cc19fc97ed450d19cc6850ef20b092e2bac0b1043b49caba6680c2288e

Observation 52f6a0c8-1e60-40e8-9650-88639314e742 · inbound

Back to the Features: DINO as a Foundation for Video World Models cites this paper.

Back to the Features: DINO as a Foundation for Video World Models Navigation World Models

Reference 31

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source=pdf_text observed=2026-08-06T14:24:22.613110Z digest=sha256:e48cd0c1cb499d7747bb1bee6c3d03b19d485a2ec9f678e82e44af5eaeabef2f

Observation 8a548740-7a10-4841-8b5f-41f6966fff15 · inbound

DreamNav: A Trajectory-Based Imaginative Framework for Zero-Shot Vision-and-Language Navigation cites this paper.

DreamNav: A Trajectory-Based Imaginative Framework for Zero-Shot Vision-and-Language Navigation Navigation World Models

Reference 19

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source=pdf_text observed=2026-08-04T17:00:45.085941Z digest=sha256:e1def641eafabbe663214c6ac61f14e2a930838d0a0bd952d6bdd7d35f9d2b29

Observation 5e1b4ebf-9726-4be0-95a4-b143cf8de705 · inbound

Recurrent Autoregressive Diffusion: Global Memory Meets Local Attention cites this paper.

Recurrent Autoregressive Diffusion: Global Memory Meets Local Attention Navigation World Models

Reference 4

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source=pdf_text observed=2026-08-03T21:59:26.934333Z digest=sha256:ebb22cb67645fca1bf9453db4ff726f4182dfcc9e7711d9df47dfd2f0ac11929

Observation 7024111d-c222-44de-b4fe-f102fe72609a · inbound

RynnVLA-002: A Unified Vision-Language-Action and World Model cites this paper.

RynnVLA-002: A Unified Vision-Language-Action and World Model Navigation World Models

Reference 3

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source=pdf_text observed=2026-08-03T20:59:50.072524Z digest=sha256:4dc880a809100e9389c98459fbaa46e3fd6893d2f526f57b4f2d36841c9fc6cd

Observation c86c6093-eabc-472a-a5b5-1994fb40b05e · inbound

FeudalNav: A Simple Framework for Visual Navigation cites this paper.

FeudalNav: A Simple Framework for Visual Navigation Navigation World Models

Reference 2

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arxiv_id, observed 2026-05-16T13:27:55.591611Z

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Observation e8f4fd6c-a5ed-41ea-a7e6-4cdc36e72fcc · inbound

LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels cites this paper.

LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels Navigation World Models

Reference 35

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arxiv_id, observed 2026-05-15T04:09:22.479578Z

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Observation 46a64e6d-a79a-4b00-8454-962d3343e350 · inbound

Hi-WM: Human-in-the-World-Model for Scalable Robot Post-Training cites this paper.

Hi-WM: Human-in-the-World-Model for Scalable Robot Post-Training Navigation World Models

Reference 4

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arxiv_id, observed 2026-05-11T14:36:07.619569Z

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source=pdf_text observed=2026-05-09T21:26:26.540403Z digest=sha256:afe61912caf607392bbc31029960d0b4ea46f2df3b18aea216f1208767ae2bc0

Observation 28e94325-8b32-4036-8932-9caf1dd7dea1 · inbound

Improved Baselines with Representation Autoencoders cites this paper.

Improved Baselines with Representation Autoencoders Navigation World Models

Reference 3

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arxiv_id, observed 2026-05-20T11:43:15.226702Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T11:40:14.358108Z digest=sha256:6eb954bc8c023618d6c5f906b0558d51e3a8003085f4fe9096791a7a476c85b0

Observation 16072872-48ff-40d7-9fc2-8e37374384c2 · inbound

Neuro-Inspired Inverse Learning for Planning and Control cites this paper.

Neuro-Inspired Inverse Learning for Planning and Control Navigation World Models

Reference 41

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arxiv_id, observed 2026-06-30T16:14:53.443431Z

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source=pdf_text observed=2026-06-30T16:07:16.957620Z digest=sha256:b87f850f40698c6b7379e902bcfc7fa6ca33b2a0e0fdba2608cec14bfa39ccc4

Observation 8c3cd4eb-6884-4a0c-8d98-9fe0444dc0ff · inbound

CLAW: Learning Continuous Latent Action World Models via Adversarial Latent Regularization cites this paper.

CLAW: Learning Continuous Latent Action World Models via Adversarial Latent Regularization Navigation World Models

Reference 20

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arxiv_id, observed 2026-07-02T03:36:29.616004Z

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Observation 22a960d3-b6e7-455c-b01b-95209da054cd · inbound

DexFuture: Hierarchical Future-State Visuomotor Targeting for Bimanual Dexterous Tool Use cites this paper.

DexFuture: Hierarchical Future-State Visuomotor Targeting for Bimanual Dexterous Tool Use Navigation World Models

Reference 29

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arxiv_id, observed 2026-07-02T13:06:59.466281Z

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Observation 127bf787-e083-4945-b1d3-5ad84e0db64b · inbound

From Imitation to Alignment: Human-Preference Flow Policies for Long-Horizon Sidewalk Navigation cites this paper.

From Imitation to Alignment: Human-Preference Flow Policies for Long-Horizon Sidewalk Navigation Navigation World Models

Reference 31

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arxiv_id, observed 2026-07-03T11:38:04.660607Z

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Observation 7e302750-c12a-4009-ae06-009424813afe · inbound

Robot Self-Improvement via Human-Video Dynamics Models cites this paper.

Robot Self-Improvement via Human-Video Dynamics Models Navigation World Models

Reference 74

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arxiv_id, observed 2026-07-04T06:19:37.546780Z

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source=pdf_text observed=2026-06-26T14:40:13.855741Z digest=sha256:b25578e3339ef6091d07f029dc638355aae101e61796b870909325e225093889

Observation c6476a01-dabf-4738-85fa-bb7fa4a3d2c6 · inbound

FutureNav: Unified World-Action Modeling for Vision-and-Language Navigation cites this paper.

FutureNav: Unified World-Action Modeling for Vision-and-Language Navigation Navigation World Models

Reference 48

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arxiv_id, observed 2026-06-30T15:44:49.423984Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T05:05:56.065261Z digest=sha256:0bcac34752cb0614e95e8bdfb4652b5dfcf369b803966ac7b9a632f615f7b8cd

Observation fab371a2-9f5a-48be-9e9c-4208eba8b99e · inbound

EgoWAM: World Action Models Beyond Pixels with In-the-Wild Egocentric Human Data cites this paper.

EgoWAM: World Action Models Beyond Pixels with In-the-Wild Egocentric Human Data Navigation World Models

Reference 46

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local_arxiv, observed 2026-07-10T18:47:31.605030Z

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source=pdf_text observed=2026-07-10T18:39:34.356696Z digest=sha256:0d63aeded986a6ed97dc82ff05e173469abcf93a2fdc537528c33f247baf9311

Observation b4450a02-b4be-44b0-b434-739f8728d282 · inbound

DWM: Separating World Effects from Actions in Latent World Models cites this paper.

DWM: Separating World Effects from Actions in Latent World Models Navigation World Models

Reference 50

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source=arxiv_source observed=2026-08-01T14:39:07.090015Z digest=sha256:2555819d028da381d0e78477b0de3eea4a6fb35e15d0d4d74aef17f71aa0144b

Observation c1e9c168-1385-4f3e-9280-73977f94de49 · inbound

Mitigating Compounding Error via Video Representation Regularization cites this paper.

Mitigating Compounding Error via Video Representation Regularization Navigation World Models

Reference 3

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source=pdf_text observed=2026-07-30T13:09:35.549305Z digest=sha256:d31f8cc8f11f4cbd1c08a5a3129a1909ac67f40c977fbe5fb9ca8182227134a7

Observation 508ae3bf-eb95-49c0-a289-bff691dcbdfe · inbound

Quo Vadis, World Modeling? cites this paper.

Quo Vadis, World Modeling? Navigation World Models

Reference 12

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source=pdf_text observed=2026-08-07T00:13:51.077230Z digest=sha256:bd04777372b46100d35afd4c1b92d578f50e33c70406e6fd03cacca12487274a