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Paper Citation Record · LEDGER

Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning

As of 10 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 3 inbound Pith citation observations for arXiv:2606.21775.

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

pith.paper-citation-record.v1
2606.21775 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T14:22:14.987181Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:32:48.943818Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

  • verified exact12
  • verified fuzzy0
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ab2b86ec-fc9a-402a-b6b3-cb514ab6179b · outbound

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

Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-07-04T06:39:37.038739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T14:22:14.987181Z digest=sha256:9f0d9f72f56ff75e8a28fed1a8d07e6427595bf6cbd9687de8ba133042248d6c

Observation 2d78ee43-e662-4523-87a3-2c3a26206d74 · outbound

This paper cites Revisiting Feature Prediction for Learning Visual Representations from Video.

Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning Revisiting Feature Prediction for Learning Visual Representations from Video

Reference 2

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verified exact
local_arxiv, observed 2026-07-04T06:39:37.049639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T14:22:14.987181Z digest=sha256:c879d54e244feae1366ce60075beab9386001b57181e5a024286a15c9c98fd17

Observation 1747308f-570a-41fc-87c3-a9bf154ba939 · outbound

This paper cites Genie: Gener- ative interactive environments.

Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning Genie: Gener- ative interactive environments

Reference 3

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no resolver link, observed 2026-06-26T14:22:14.987181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T14:22:14.987181Z digest=sha256:9fe34525ae0d96fef500ad0d4ef16d587a413a14e79f72a5abda167406b05fed

Observation 3c33a0b5-028a-48fb-b829-2397e2f57d32 · outbound

This paper cites Understanding world or predicting future? a comprehensive survey of world models.ACM Computing Surveys, 58(3):1–38, 2025.

Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning Understanding world or predicting future? a comprehensive survey of world models.ACM Computing Surveys, 58(3):1–38, 2025

Reference 4

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unresolved
no resolver link, observed 2026-06-26T14:22:14.987181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T14:22:14.987181Z digest=sha256:c0ba2aba6f81f21969a24f1fc58645ae4212c3bfdc6b0aaf314393e23b847d88

Observation 718b878a-78d6-4c6d-a9e1-ebe38b422e73 · outbound

This paper cites World Models.

Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning World Models

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T06:39:37.036078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T14:22:14.987181Z digest=sha256:8c3ea27ec40b82059087624cb56938c1a1895d8fbb5bbd87fcb550a58e741a63

Observation 6a0d6154-2c6f-45e3-a6d6-1b975c25c373 · outbound

This paper cites Dream to Control: Learning Behaviors by Latent Imagination.

Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning Dream to Control: Learning Behaviors by Latent Imagination

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-07-04T06:39:37.043981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T14:22:14.987181Z digest=sha256:076604eedfe67ac2f382f6c0a0d53a618c37e6ff4958067368b1db0df527f90e

Observation e937b7ea-4526-4c63-9e5d-626cd07b8b5c · outbound

This paper cites TD-MPC2: Scalable, robust world models for continuous control.

Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning TD-MPC2: Scalable, robust world models for continuous control

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-26T14:22:14.987181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T14:22:14.987181Z digest=sha256:85f3d5606e3b4fffd61695397c9ca7ca558d3c6c6af50abf9a4d4940c131839d

Observation 48b45772-d603-4c0d-9600-0460303de262 · outbound

This paper cites Self forcing: Bridging the train-test gap in autoregressive video diffusion.

Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning Self forcing: Bridging the train-test gap in autoregressive video diffusion

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-26T14:22:14.987181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T14:22:14.987181Z digest=sha256:29ba489a751b2b96aa24f3af593f4ca9db8a028486a7563a100c116da0532db9

Observation 2bcab5c8-97d8-4fe7-8934-d0a581bdb671 · outbound

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

Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-07-04T06:39:37.030553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T14:22:14.987181Z digest=sha256:7998cd479a490243738bdc367db44f5529a3b86b9f9b86acb413c22ef47bfa4a

Observation 93964a16-2e54-4d74-924f-992dcbc3ff69 · outbound

This paper cites Causal-JEPA: Learning World Models through Object-Level Latent Masking.

Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning Causal-JEPA: Learning World Models through Object-Level Latent Masking

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-07-04T06:39:37.029871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T14:22:14.987181Z digest=sha256:a9b880b7927168dea9101b44aa7cbe2417855b40a40c10e597278913a3a2a55e

Observation 8995ce7d-8381-4b77-bc31-e849e7d08b55 · outbound

This paper cites VA-RED$^2$: Video Adaptive Redundancy Reduction.

Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning VA-RED$^2$: Video Adaptive Redundancy Reduction

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-04T06:39:37.038248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T14:22:14.987181Z digest=sha256:4d62c3ac718e4319ada79208faefbcd0a2ab0a949d41e20b2d8a36c3be68dd5c

Observation 6c1f259b-9bf8-4eca-b8b5-0446fa57cf12 · outbound

This paper cites Ogbench: Benchmark- ing offline goal-conditioned rl.

Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning Ogbench: Benchmark- ing offline goal-conditioned rl

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-26T14:22:14.987181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T14:22:14.987181Z digest=sha256:f394923bb7500bdf1541b4c53f984d19e7bb8e2913fb03b70c7661e118a222a5

Observation b2d3903e-5aff-4ced-a0eb-d82bdb351c6c · outbound

This paper cites Springer Science & Business Media, 2004.

Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning Springer Science & Business Media, 2004

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-26T14:22:14.987181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T14:22:14.987181Z digest=sha256:9d6bfc58bdf3e900e2a40c30059a5b6f3144ae3124a576748a00b059dd21e09c

Observation 9a2d6571-9922-421a-8cce-84fedb383996 · outbound

This paper cites an unresolved cited work.

Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning Unresolved cited work

Reference 14

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unresolved
no resolver link, observed 2026-06-26T14:22:14.987181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T14:22:14.987181Z digest=sha256:4989173716a82565b4a019e23579de9510a8365e90c8c295362660569f925963

Observation 1c5d2b83-7ab8-4be1-882a-85f28d88efc8 · outbound

This paper cites HunyuanWorld 1.0: Generating Immersive, Explorable, and Interactive 3D Worlds from Words or Pixels.

Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning HunyuanWorld 1.0: Generating Immersive, Explorable, and Interactive 3D Worlds from Words or Pixels

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-04T06:39:37.035650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T14:22:14.987181Z digest=sha256:76485da58d2d8075d00589b37a3c2caf41116cb216b1e13b5c1811769636baf6

Observation 90b187c9-77ee-4cb4-9a22-41fa0c8bfbc8 · outbound

This paper cites Longcat-video technical report.arXiv preprint arXiv:2510.22200.

Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning Longcat-video technical report.arXiv preprint arXiv:2510.22200

Reference 16

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verified exact
arxiv_id, observed 2026-07-04T06:39:37.027467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T14:22:14.987181Z digest=sha256:daaff6beda82e569f52e7fad97fcee06b7cb7807235eb6f8b3abd21400d72200

Observation d88629df-47ae-4904-a22a-522edf300fdc · outbound

This paper cites Learning to generate long-term future via hierarchical prediction.

Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning Learning to generate long-term future via hierarchical prediction

Reference 17

Resolution
unresolved
no resolver link, observed 2026-06-26T14:22:14.987181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T14:22:14.987181Z digest=sha256:4568bf41bc4477b4eddf1d37b54c6d25c40b776ff655b5c440645153194e4085

Observation 66846054-9890-4ff5-93d6-fb9ca20fa470 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning Wan: Open and Advanced Large-Scale Video Generative Models

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-07-04T06:39:37.040860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T14:22:14.987181Z digest=sha256:560d88a2589667588b0ff46385c8c4aee634a3f5134e28025c2276340b696277

Observation 370f1045-f67d-4198-8227-858e96e20779 · outbound

This paper cites ThinkJEPA: Empowering Latent World Models with Large Vision-Language Reasoning Model.

Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning ThinkJEPA: Empowering Latent World Models with Large Vision-Language Reasoning Model

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-07-04T06:39:37.011113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T14:22:14.987181Z digest=sha256:d34039eebe7db66bed34b0a4d10aa985854ded0b2e163cf23568be7242f27a95

Observation cdecb275-4a4e-4163-beb4-7f10075b2b71 · outbound

This paper cites Hierarchical Planning with Latent World Models.

Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning Hierarchical Planning with Latent World Models

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-07-04T06:39:37.047222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T14:22:14.987181Z digest=sha256:bcfa309688ab300f41b8e68d8ec8f603f1501ee25abf097092998349498a0a03

Observation 003ab639-65f5-4989-ba67-10543d9b6964 · outbound

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

Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-07-04T06:39:37.043250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T14:22:14.987181Z digest=sha256:e08aaec1e38a70fcb58115b36873ae37127b3801a30c0430f57afc973ffd51d5

Pith citing papers

Observation 5f4ca36a-5e71-4c8f-a363-dcda00fddff8 · inbound

SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning cites this paper.

SAGE: Subgoal-Conditioned Action Generation for Latent World Model Planning Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning

Reference 2

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no resolver link, observed 2026-08-01T16:32:48.943818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:32:48.943818Z digest=sha256:f01134afa9ad379f4d88e6d4ac7b55c87d0ee49f6310a58972df03837e681b22

Observation e87f5694-c886-4f81-952b-0bbc2c1a9c1e · inbound

Multi-Horizon Consistency as Geometry: When Latent Dynamics Contract, and When They Do Not cites this paper.

Multi-Horizon Consistency as Geometry: When Latent Dynamics Contract, and When They Do Not Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning

Reference 30

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no resolver link, observed 2026-08-01T12:15:00.139656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:15:00.139656Z digest=sha256:31baf67509c1f9e3cefdc9b0db90b9cc08c6ae6fa7c2109d271544251f446d85

Observation f0dbc7ce-85a7-43ad-acac-5533bc6b8548 · inbound

Action from Adjacent Set in Physical Space Outperforms the Best Prediction in World Models cites this paper.

Action from Adjacent Set in Physical Space Outperforms the Best Prediction in World Models Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-30T17:53:36.951134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T17:53:36.951134Z digest=sha256:3dc4f634b2e5af6ed60f481b9cd776ee492ed934284fa97a6f20bfa9edfb0585