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Paper Citation Record · LEDGER

VIScore: Diagnosing Planning-Relevant Quality in Latent World Models

As of 12 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2608.11174.

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

pith.paper-citation-record.v1
2608.11174 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:49:54.288113Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

19 of 19 outbound references displayed

  • verified exact3
  • verified fuzzy2
  • unresolved11
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 961013e9-f733-49ca-aefa-7e0b325966dd · outbound

This paper cites Predictive but Not Plannable: RC-aux for Latent World Models.

VIScore: Diagnosing Planning-Relevant Quality in Latent World Models Predictive but Not Plannable: RC-aux for Latent World Models

Reference 6

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unresolved
no resolver link, observed 2026-08-12T04:49:54.229215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:49:54.229215Z digest=sha256:534e828bb0fdde68e9e373f4b26df3df54e469f16ee66e415cffbc8343f308ff

Observation e8d10ac2-8761-406e-9852-b98a112b1024 · outbound

This paper cites Decoupled Weight Decay Regularization.

VIScore: Diagnosing Planning-Relevant Quality in Latent World Models Decoupled Weight Decay Regularization

Reference 7

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unresolved
no resolver link, observed 2026-08-12T04:49:54.233569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:49:54.233569Z digest=sha256:7239532bfd4c946f9e9b20bafeb63e5b952737d38de9e44833a6069f826dc0e5

Observation 9742da16-267d-4bbe-9847-3d37fa78e75c · outbound

This paper cites INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models.

VIScore: Diagnosing Planning-Relevant Quality in Latent World Models INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-12T04:49:54.400165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T04:49:54.253933Z digest=sha256:11fb07689019ca40ca99f565dcd84fbea34d5fc914f1e1ba804f67908a7f8067

Observation cb5e85cb-970f-4d1c-aa6d-a680404c843b · outbound

This paper cites DeepMind Control Suite.

VIScore: Diagnosing Planning-Relevant Quality in Latent World Models DeepMind Control Suite

Reference 12

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unresolved
no resolver link, observed 2026-08-12T04:49:54.257762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:49:54.257762Z digest=sha256:cb7fc7bb4484b43b6cc2702f9f1aadb833e6aef3e3875787c1b0c52a46f52097

Observation 35027406-5dfd-46ee-b3b8-52d5eaff8c77 · outbound

This paper cites Efficient Empowerment Estimation for Unsupervised Stabilization.

VIScore: Diagnosing Planning-Relevant Quality in Latent World Models Efficient Empowerment Estimation for Unsupervised Stabilization

Reference 16

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T04:49:54.326753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T04:49:54.274836Z digest=sha256:0d1e3e66767f9de489a6c11e7602083323c576eb69f542f3ac1ba6bc36bddd6f

Observation bd03bed9-0d80-4823-8577-a2bb5f585fc5 · outbound

This paper cites We first provide the training details and the SSL observations that motivate the regularization intervention.

VIScore: Diagnosing Planning-Relevant Quality in Latent World Models We first provide the training details and the SSL observations that motivate the regularization intervention

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:49:54.547603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T04:49:54.279294Z digest=sha256:5752a0a0e231e262eee2d1a5ed9f20362bfb37d7e8d9fe7c4141669dd7abb15f

Observation d3df0a1b-600e-4d5d-9de9-e201acdebcba · outbound

This paper cites We train ViT-S/8 from scratch for 400epochs and compare with SWD (Bon- neel et al., 2015), DINO (Caron et al., 2021), VICReg (Bardes et al., 2022), and SIGReg.

VIScore: Diagnosing Planning-Relevant Quality in Latent World Models We train ViT-S/8 from scratch for 400epochs and compare with SWD (Bon- neel et al., 2015), DINO (Caron et al., 2021), VICReg (Bardes et al., 2022), and SIGReg

Reference 18

Resolution
malformed identifier
raw_fallback, observed 2026-08-12T04:49:54.535554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T04:49:54.283286Z digest=sha256:9a2b84c298b2b346837f3b08a847bf327bd6bc727e00f6fcd06a26de558a72ff

Observation fe4091d5-c488-418d-9202-45f94bede099 · outbound

This paper cites The frozen mapping is fit on the three supported development tasks only.

VIScore: Diagnosing Planning-Relevant Quality in Latent World Models The frozen mapping is fit on the three supported development tasks only

Reference 19

Resolution
malformed identifier
raw_fallback, observed 2026-08-12T04:49:54.522929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T04:49:54.288113Z digest=sha256:f5c705aba9d17efcc4c800b6dd9f9190d17514893a403e10f81271254948a003

Observation 9d9415c8-3aa4-4bf8-8aa7-7b7e41ad09f5 · outbound

This paper cites D4RL: Datasets for Deep Data-Driven Reinforcement Learning.

VIScore: Diagnosing Planning-Relevant Quality in Latent World Models D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Reference 1983

Resolution
unresolved
no resolver link, observed 2026-08-12T04:49:54.215480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:49:54.215480Z digest=sha256:10ce7d53e606870a6d40380833f0c17b890c859ba17ebc39c31308ea06888063

Observation 32638dd9-764c-49a3-871e-a3ff3aebd3c8 · outbound

This paper cites Offline Reinforcement Learning with Implicit Q-Learning.

VIScore: Diagnosing Planning-Relevant Quality in Latent World Models Offline Reinforcement Learning with Implicit Q-Learning

Reference 2005

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no resolver link, observed 2026-08-12T04:49:54.224802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:49:54.224802Z digest=sha256:e31535fc18cd702840956168a7a308f29f25a1ab14acc2074563919804c10d2e

Observation 55f5d7d4-0755-40ca-8386-c1e50a31d97b · outbound

This paper cites VISReg: Variance-Invariance-Sketching Regularization for JEPA training.

VIScore: Diagnosing Planning-Relevant Quality in Latent World Models VISReg: Variance-Invariance-Sketching Regularization for JEPA training

Reference 2017

Resolution
verified exact
local_arxiv, observed 2026-08-12T04:49:54.358886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T04:49:54.266668Z digest=sha256:fe70688e56f4db010f889b72c080f5fe79e43eaab9a68601ea6d4ca0ea4619bd

Observation dcb684bc-e66f-4155-8716-85e725643fc5 · outbound

This paper cites Subspace-Decomposed JEPAs: Disentangling Progression and Content in Latent World Models.

VIScore: Diagnosing Planning-Relevant Quality in Latent World Models Subspace-Decomposed JEPAs: Disentangling Progression and Content in Latent World Models

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-12T04:49:54.261985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:49:54.261985Z digest=sha256:6fc8d36c71d33b1b36d613aa7818b9d166d5ab4682a01708d6aad7ac3a6d6a54

Observation f3cd9ad3-8a09-45dc-af2b-ae78792d206b · outbound

This paper cites Predictive Sampling: Real-time Behaviour Synthesis with MuJoCo.

VIScore: Diagnosing Planning-Relevant Quality in Latent World Models Predictive Sampling: Real-time Behaviour Synthesis with MuJoCo

Reference 2019

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unresolved
no resolver link, observed 2026-08-12T04:49:54.220233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:49:54.220233Z digest=sha256:d3bd467218bafd898e80f0beecc109778f28edaa7f7adbd6eccf3037de6ae061

Observation 9db3b2d6-4f95-43a3-b05d-ae73f49363c6 · outbound

This paper cites Qantara: Bridge-flow training for multi-paradigm jepa control.

VIScore: Diagnosing Planning-Relevant Quality in Latent World Models Qantara: Bridge-flow training for multi-paradigm jepa control

Reference 2020

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verified fuzzy
raw_fallback, observed 2026-08-12T04:49:54.558896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T04:49:54.244134Z digest=sha256:d77254616c155b630e44b4bf7737d4512dc066564a7fe5e8c9915e619235a0c5

Observation c43ec84a-b279-4c91-a7c2-14d3f6f03a3a · outbound

This paper cites Hierarchical Planning with Latent World Models.

VIScore: Diagnosing Planning-Relevant Quality in Latent World Models Hierarchical Planning with Latent World Models

Reference 2021

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unresolved
no resolver link, observed 2026-08-12T04:49:54.270726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:49:54.270726Z digest=sha256:323a367cbaacb30c59e57eff14abbe10ea19ec25ea2e1e9f8b3f5f3c244c58a4

Observation ece6ce64-ad3f-4638-acfb-ec53230c884f · outbound

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

VIScore: Diagnosing Planning-Relevant Quality in Latent World Models V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-12T04:49:54.206129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:49:54.206129Z digest=sha256:2c11c09ad65ad370c6dae854b80e4ab941c321c9b5405ac5e778d20b2c791397

Observation f95f48f6-1221-42ab-a99f-ff23b157aa15 · outbound

This paper cites Foundation Policies with Hilbert Representations.

VIScore: Diagnosing Planning-Relevant Quality in Latent World Models Foundation Policies with Hilbert Representations

Reference 2023

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unresolved
no resolver link, observed 2026-08-12T04:49:54.237915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:49:54.237915Z digest=sha256:bbe435593545dd52b40192d27780e72192734a3682a293d5ac52aa7e2637e7f8

Observation 2aa8a593-0ac2-41d4-92d9-5a8ed9049760 · outbound

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

VIScore: Diagnosing Planning-Relevant Quality in Latent World Models LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

Reference 2025

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no resolver link, observed 2026-08-12T04:49:54.211255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:49:54.211255Z digest=sha256:7b9e600c9f9a2ba3186663f922d0f598e83e8f3401aeee5e8ec729c66b8db753

Observation 0c35274a-7f0d-4ea6-987a-cbb406faa63d · outbound

This paper cites Qantara: Bridge-Flow Training for Multi-Paradigm JEPA Control.

VIScore: Diagnosing Planning-Relevant Quality in Latent World Models Qantara: Bridge-Flow Training for Multi-Paradigm JEPA Control

Reference 2026

Resolution
verified exact
local_arxiv, observed 2026-08-12T04:49:54.416849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T04:49:54.249403Z digest=sha256:4d268c9971741b81836d5857d69ce69669d443f39e966a6382963af72e98bab2

Pith citing papers

No inbound Pith citation observations are available.