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Paper Citation Record · LEDGER

Latent World Models with Monotone Planning Costs for Image-Goal Navigation

As of 20 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2608.09073.

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

pith.paper-citation-record.v1
2608.09073 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:13:33.559606Z

measured 42 of 42 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 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

42 of 42 outbound references displayed

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  • verified fuzzy1
  • unresolved41
  • parse uncertain0
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External citation measurements

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Outbound references

Observation f46587e2-daef-496c-a1c6-546bea165f6a · outbound

This paper cites ViNT: A Foundation Model for Visual Navigation.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation ViNT: A Foundation Model for Visual Navigation

Reference 1

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Observation 982d7372-20b8-4de8-a52c-d23078767f1c · outbound

This paper cites NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration

Reference 2

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source=pdf_text observed=2026-08-12T00:13:32.827999Z digest=sha256:414a5a8bd01e24a7a8f3229fe65754589b9acc128e057dceeccc3e9ba59d8a37

Observation 5d48de18-901e-4ff8-aeb7-a9a0d86269a8 · outbound

This paper cites Hirose, C.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation Hirose, C

Reference 3

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source=pdf_text observed=2026-08-12T00:13:32.832912Z digest=sha256:efe0a7e9b2169ef83a081b1be7ecacc18e5bab9431bd30e44d67dd5d6b1b0d5d

Observation 956b7212-6186-46fb-a88e-b65048e6b126 · outbound

This paper cites an unresolved cited work.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation Unresolved cited work

Reference 4

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Observation a7b91984-47fe-4b0f-a86a-c56e582d4753 · outbound

This paper cites an unresolved cited work.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation Unresolved cited work

Reference 5

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

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Observation e49d4b57-609f-4f4a-bc96-a628a10630a8 · outbound

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

Latent World Models with Monotone Planning Costs for Image-Goal Navigation Back to the Features: DINO as a Foundation for Video World Models

Reference 6

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source=pdf_text observed=2026-08-12T00:13:32.849963Z digest=sha256:471ded535ac5c4f99d3487f482ff75cc9e9316ccb11e7d8ef26640e05cf10517

Observation 541648ac-bfdd-4d19-9c0a-d2a4cdb0864f · outbound

This paper cites an unresolved cited work.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation Unresolved cited work

Reference 7

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Observation 4b695a64-4a2e-4779-83c5-6dcd1dae6c4b · outbound

This paper cites an unresolved cited work.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-12T00:13:32.862849Z digest=sha256:3b67d426efae2e1718078127e877dd9818c0473e9ccd5016c301a57281c9420e

Observation 833d7b9b-2800-4bb4-a889-5b2624eb6718 · outbound

This paper cites LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

Reference 9

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source=pdf_text observed=2026-08-12T00:13:32.868697Z digest=sha256:648dfa80c29935c8de68a4f9f5900ab7f54c9a61ae85ee4ea13bd272277871e2

Observation e5e9b7f2-ef09-4f28-abbf-4897e4aaae13 · outbound

This paper cites Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks

Reference 10

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source=pdf_text observed=2026-08-12T00:13:32.912271Z digest=sha256:101bcd231e016120f98923279a0a674ce9a240f02ea83dba7c41d59377b3e822

Observation 047f09ba-7112-47db-9100-ec15fabd0180 · outbound

This paper cites Peebles and S.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation Peebles and S

Reference 11

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source=pdf_text observed=2026-08-12T00:13:32.959107Z digest=sha256:fc7006ed06f4a0b1cc45b0cc4393a5dbfbbb64a30ce5d1c2a6271ec8d91cc258

Observation f1ec6393-01f7-4345-997a-a07a9a7def67 · outbound

This paper cites CAST: Counterfactual Labels Improve Instruction Following in Vision-Language-Action Models.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation CAST: Counterfactual Labels Improve Instruction Following in Vision-Language-Action Models

Reference 12

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source=pdf_text observed=2026-08-12T00:13:33.041193Z digest=sha256:f18fdc10bfc0c82df58d0e41abb7ec2827f3f4ac1edbeca4d51721aae1dba39e

Observation 5a7f8767-8a79-4bda-8432-44bdb11e41e7 · outbound

This paper cites an unresolved cited work.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation Unresolved cited work

Reference 13

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

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Observation 03ec6778-128a-44bd-bfe6-311e0626a57f · outbound

This paper cites an unresolved cited work.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation Unresolved cited work

Reference 14

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Observation 456eeecf-6c41-4b85-aaa7-d7a3e12dd347 · outbound

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Latent World Models with Monotone Planning Costs for Image-Goal Navigation Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-12T00:13:33.142907Z digest=sha256:fa1397f02f652a18ac3937d7a28c0138d75639a841197e710d497d96820a93b2

Observation a4b8ae41-cb5d-4ada-81aa-b53384d1aad4 · outbound

This paper cites an unresolved cited work.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation Unresolved cited work

Reference 16

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source=pdf_text observed=2026-08-12T00:13:33.146493Z digest=sha256:42b457184fc026513a445fc9a0e6d5909f2c5deeea8cb4b0f0e713a2e5220b18

Observation a2191b20-90bd-4939-9b63-d32db2be61b6 · outbound

This paper cites an unresolved cited work.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation Unresolved cited work

Reference 17

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source=pdf_text observed=2026-08-12T00:13:33.150854Z digest=sha256:4750c5b5a29c686db348179d9959826e31bc8be6e2e2b75864aa8f9d55010380

Observation 485fbe10-9b0f-4e22-8957-07f22b217043 · outbound

This paper cites Suomela, N.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation Suomela, N

Reference 18

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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=2026-08-12T00:13:33.160774Z digest=sha256:0444c062b3da95d5c5e4a1f54faaddc0c03d61f8d617da715e6fb9c1fcef7c7f

Observation 4dcdd474-1b79-47cc-8983-b1e8047cdd76 · outbound

This paper cites From Seeing to Experiencing: Scaling Navigation Foundation Models with Reinforcement Learning.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation From Seeing to Experiencing: Scaling Navigation Foundation Models with Reinforcement Learning

Reference 19

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source=pdf_text observed=2026-08-12T00:13:33.168177Z digest=sha256:acda9a5b2f1d7cb140395b1d7561117387df5cbfac9577ca6ac19f26c2fa2c5c

Observation fa799341-baf1-468b-8c4c-6ad5954662e0 · outbound

This paper cites Sobal, W.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation Sobal, W

Reference 20

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Observation 353cf999-84ed-4f31-a671-9c8afcb18aaf · outbound

This paper cites What Drives Success in Physical Planning with Joint-Embedding Predictive World Models?.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation What Drives Success in Physical Planning with Joint-Embedding Predictive World Models?

Reference 21

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Observation cf10fffc-3d7d-4ace-aba1-659645250311 · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 22

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Observation 4e751b6d-146d-427f-b8c1-f385dca1589d · outbound

This paper cites an unresolved cited work.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation Unresolved cited work

Reference 23

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source=pdf_text observed=2026-08-12T00:13:33.186525Z digest=sha256:8f4ae0c581dd45bcec9b6276651f462740dc2012e73b44d642d481eff2dfb198

Observation 03629f7c-0b34-4f2f-bf79-822b67a1c6bc · outbound

This paper cites Garrido, T.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation Garrido, T

Reference 24

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Observation e21974ee-e37d-4d2a-998d-b053068c992a · outbound

This paper cites an unresolved cited work.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation Unresolved cited work

Reference 25

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Observation 138f2796-1997-4359-be3b-3d3669f37c00 · outbound

This paper cites Hierarchical Planning with Latent World Models.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation Hierarchical Planning with Latent World Models

Reference 26

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source=pdf_text observed=2026-08-12T00:13:33.202401Z digest=sha256:efb9acc78d3f993af070b8f0fd6ac863080e17ddac521fe935dd7616744f49b1

Observation b6b5afde-06a7-4639-b36e-433ec09b1e43 · outbound

This paper cites an unresolved cited work.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation Unresolved cited work

Reference 27

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Observation 2243487b-b38f-4118-aac0-d4ea890573a6 · outbound

This paper cites World Model for Robot Learning: A Comprehensive Survey.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation World Model for Robot Learning: A Comprehensive Survey

Reference 28

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source=pdf_text observed=2026-08-12T00:13:33.210040Z digest=sha256:8b36faf180907627c1249051cdd7c93131a2dd06c57d37c0114a7a6ba96b91f4

Observation ee9c88d3-4871-4a18-8ceb-e37f04395e9f · outbound

This paper cites an unresolved cited work.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation Unresolved cited work

Reference 29

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Observation 69731c52-d66c-4adc-993d-3734bc1039bb · outbound

This paper cites Mastering Diverse Domains through World Models.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation Mastering Diverse Domains through World Models

Reference 30

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source=pdf_text observed=2026-08-12T00:13:33.272754Z digest=sha256:97bba44e99594a744d3c81c6a790f648aee4bad0c3446e45561ce0fcfdc3c358

Observation 8e648094-6aaf-4428-9ea3-7a45fb32762f · outbound

This paper cites Huang, J.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation Huang, J

Reference 31

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source=pdf_text observed=2026-08-12T00:13:33.205858Z digest=sha256:ef42f960370af5ed9d5e4c342feda4158625d54ecdd501d45fc5520ff4066843

Observation 2f8319e3-585e-4d4e-99e8-ccc280397383 · outbound

This paper cites Time-Contrastive Networks: Self-Supervised Learning from Video.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation Time-Contrastive Networks: Self-Supervised Learning from Video

Reference 32

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source=pdf_text observed=2026-08-12T00:13:33.420708Z digest=sha256:51ccb96f7fe02ea6b2e9f00ba4ad2858d11923f82b9d9f6fd0c23c41dbf1d2e6

Observation 43e7d953-676b-437c-989d-eb4dd0cb9664 · outbound

This paper cites A Simple Framework for Contrastive Learning of Visual Representations.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation A Simple Framework for Contrastive Learning of Visual Representations

Reference 33

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source=pdf_text observed=2026-08-12T00:13:33.489822Z digest=sha256:ee5285e5870ea0cf5d92ec10eb76377a2d3ac6f198b75b5dbe9f922b79e55611

Observation 9d0520d5-f39a-4c04-a813-ac160ea64e4e · outbound

This paper cites CURL: Contrastive Unsupervised Representations for Reinforcement Learning.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Reference 34

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source=pdf_text observed=2026-08-12T00:13:33.522250Z digest=sha256:2a3bbdfbad380a3b6f6f54fe9c750afde80982f0631eefcffb1f67149884ba45

Observation 960729af-d1fb-4bdd-a914-8b8a36e3a5ac · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation Representation Learning with Contrastive Predictive Coding

Reference 35

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source=pdf_text observed=2026-08-12T00:13:33.340627Z digest=sha256:6ed754386e07e9c113236d56e6abefbab0e25e4b2b00edbba12b460b1565a88b

Observation 0161ffb3-122b-4a46-a989-0d62d8fa58a5 · outbound

This paper cites Implicit Behavioral Cloning.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation Implicit Behavioral Cloning

Reference 36

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source=pdf_text observed=2026-08-12T00:13:33.545392Z digest=sha256:a6bb7482d007ecd0b220fd32fea3e655348ed823ce9053a857882743790f85a2

Observation 5b44cfb4-9edf-4986-ab09-e079be9222f0 · outbound

This paper cites VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training

Reference 37

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source=pdf_text observed=2026-08-12T00:13:33.552375Z digest=sha256:2f9198c388758ba249395fc9a2c955ba3e92d85340ff11aa40fe3562dd93fc2a

Observation 45a9d6f5-c8ed-4769-a4a6-d874619e55a1 · outbound

This paper cites Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets?.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets?

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4407e431-fa16-49ab-9cd6-ce1e5373579a · outbound

This paper cites Contrastive Learning as Goal-Conditioned Reinforcement Learning.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation Contrastive Learning as Goal-Conditioned Reinforcement Learning

Reference 39

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unresolved
no resolver link, observed 2026-08-12T00:13:33.531488Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:13:33.531488Z digest=sha256:0c39001d488ffbc18df434516067b4d229b148a1f2221c356336be0399b5f13d

Observation 73ea7ade-b87b-4cf4-9119-3bda59df104e · outbound

This paper cites GNM: A General Navigation Model to Drive Any Robot.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation GNM: A General Navigation Model to Drive Any Robot

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-12T00:13:32.859030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:13:32.859030Z digest=sha256:4cf7a6afa4e9431951162a8aab7bf35d82426f01afd3e0ee9f3326e3c08ede9d

Observation 3d49bbbe-bfe4-46ec-902f-f519011e7616 · outbound

This paper cites DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-12T00:13:32.843934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:13:32.843934Z digest=sha256:618214bbb128c9c59d7ca13dd7600da6d5a2c0850b927437335e6c1171408b04

Observation 05191dd7-94d8-4b94-a75e-d382e11134b5 · outbound

This paper cites an unresolved cited work.

Latent World Models with Monotone Planning Costs for Image-Goal Navigation Unresolved cited work

Reference 2026

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:13:35.099716Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T00:13:33.164481Z digest=sha256:4d2adf814cada2b5fde481893a4181b02679e982245f071283c27763027ce78f

Pith citing papers

No inbound Pith citation observations are available.